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Notes

Source data: Departmental Business PlansProvided by: Institute for GovernmentAvailable at:

The Institute for Government has analysed the Impact Indicators set out in the Business Plans for each government department.

Notes on WorksheetsName of sheet DescriptionNUMBERS Number of indicators calculated by the Institute for Government from Departmental Business PlansINDICATORS A full list of indicators taken from Departmental Business Plans

http://transparency.number10.gov.uk/

www.instituteforgovernment.org.uk/our-work/whitehall-monitor

http://transparency.number10.gov.uk/

http://www.instituteforgovernment.org.uk/our-work/whitehall-monitor

The Institute for Government has analysed the Impact Indicators set out in the Business Plans for each government department.

Number of indicators calculated by the Institute for Government from Departmental Business Plans

Department Number of indicatorsHMT 18DH 15HMRC 14DfE 14BIS 14DWP 12MOD 10HO 9DfT 8DCLG 8DECC 8Defra 8DFID 7MOJ 6FCO 6CO 6DCMS 4

Department IfG Indicator number Short title Health Indicator 1

Health Indicator 2a

Differences in life expectancy and health expectancy between areas

Low birth weight of term live births

Health Indicator 2b (new)

Health Indicator 2c (new)

Health Indicator 3

Health Indicator 4

Health Indicator 5

Low birth weight of all live births where father's occupation is classified as managerial, professional or intermediate

Low birth weight of all live births where father's occupation is classified as routine and manual occupations, never worked and long-term unemployed

Deaths that might have been avoided by better treatment (Mortality from causes considered amenable to healthcare)

Mortality rate from causes considered preventable

Quality of life for people with long term conditions

Health Indicator 6

Health Indicator 7

Health Indicator 8

Quality of life for adults receiving social care

Emergency admissions for conditions not usually requiring hospital admission

Emergency readmissions within 28 days of leaving hospital

Health Indicator 9

Health Indicator 10

Health Indicator 11

Health Indicator 12

People’s experience of primary care

People’s experience of being in hospital

Satisfaction with adult social care services

Safety incidents reported by NHS/healthcare providers that lead to serious harm

Health Indicator 13 (new)

Education

Education

Education

Safety incidents reported by NHS/healthcare providers

Impact indicator 1 (Sub-indicator 1)

Attainment of ‘the basics’ at age 11


Attainment of ‘the basics’ at age 16


Achievement of a Level 3 qualification by age 19

Education

Education Indicator 2 (Sub-indicator 5)


Attainment of Level 2 in English and Maths at age 19 for those who had not achieved this level by 16

Attainment beyond ‘the basics’ at age 16



Attainment gap at age 11 between FSM pupils and the rest in English and Maths

Attainment gap at age 16 between FSM pupils and the rest in achieving the Basics.


Education


Attainment gap at age 19 between FSM pupils and the rest in achieving Level 3 qualifications

Indicator 3 (Sub-indicators 10 & 11)

Attainment gaps at ages 11 & 16 – Looked After Children

Participation in Education and Work Based Learning at 16/17

Education



School Quality: Number of schools below the floor standard (separate floors for primary and secondary);

Factors affecting Education: Pupil absence

Education

Education Academies/Free Schools

Transport Indicator 1


Factors affecting education: Percentage of pupils educated in alternative provision who achieve in English and Maths skills.

Indicator 7 (Sub-indicators 23, 24 & 25)

Total greenhouse gas emissions from transport




Proportion of times running ‘on time’

Proportion of urban trips under 5 miles taken by:(i) walking or cycling(ii) public transport

Proportion of bus services running on time


Transport Indicator 6 Annual Road fatalities.


Reliability of journeys on Highways Agency’s motorway and A road network

Number of newly registered Ultra-Low Emission Vehicles


Indicator 1

Indicator 2

Indicator 3

Indicator 4

Households with good transport access to key services or work

Communities and Local Government

Total number of housing starts and completions (as a leading indicator of net additions)


Number of net additions to the housing stock


Number of affordable housing starts and completions delivered through the Homes and Communities Agency


Energy efficiency of new build housing (average Standard Assessment Procedure energy rating score)

Indicator 5

Indicator 6 Fire-related casualties

Indicator 7

Indicator 8

Indicator 1


Households in temporary accommodation



Decentralisation of central government funding through percentage of un-ringfenced grants to local government


The number of planning permissions granted as a percentage of all applications for major and minor schemes

Business, Innovation and Skills

Change in private sector share of potential workforce

Indicator 2a

Indicator 2b


International comparison (within the OECD) of the qualification levels of the working age population


Percentage of 18–24 year olds participating in part-time or full-time education or training

Indicator 3a

Indicator 3b

Indicator 4


The proportion of 15 year olds from low income backgrounds in English maintained schools progressing to HE by the age of 19


Percentage of young people who go on to the 33% most selective higher education institutions (gap between students educated at state school and independent school)


UK share of highly cited academic articles

Indicator 5 Innovation Active Firms

Indicator 6 to be developed

Indicator 7

Indicator 8



Social Mobility in adulthood(Under development)


Early-stage Entrepreneurial activity rate


Ease of doing business in the UK, ranking of UK on World Bank Doing Business Report

Indicator 9

Indicator 10

Indicator 11

Indicator 12


Change in the net regulatory burden imposed on business by Government


Change in employment regulatory burden imposed on business by Government, measured from baseline provided by OECD Indicators of Employment Protection


Openness to Trade: Exports plus imports as a share of GDP, ranked against major competitors


The value of the consumer benefits of the competition regime

Home Office Indicator 1





Crime rates - violent and property crime recorded by the police

The size, value and nature of organised crime and our success in diminishing it and its profitability

Net migration to the UK

Annual level of tax revenue that is protected through detecting goods where excise duty has not been declared

Clearance of passengers at the border within published standards





Percentage of migration applications decided within published standards

Percentage of asylum applications concluded in one year

To process straightforward Passport applications within 10 working days

Voluntary Gender Equality Reporting

Justice Indicator 1

Justice Indicator 2

Justice Indicator 3 Juvenile First Time Entrants

Re-offending of adult and juvenile offenders

Re-offending of adults released from custody

Justice Indicator 4

Justice Indicator 5

Justice Indicator 6

Defence Indicator 1

Court and Tribunal timeliness in hearing cases and related processes - Criminal Courts, Civil Proceedings, Care Proceedings and Tribuanls

Estimated proportion of civil disputes resolved outside of court

Number of new criminal offences

Progress towards a stable and secure Afghanistan

Defence Indicator 2

Defence Indicator 3

Defence Indicator 4

Defence Indicator 5

Defence Indicator 6

Defence Indicator 7

Defence Indicator 8

Defence Indicator 9

Defence Indicator 10

Number of Service Personnel deployed to support civil agencies (e.g. police and fire service) during emergencies

Number of attaches and advisors deployed in support of conflict prevention and defence diplomacy activities

Number of Service and MOD Civilian Personnel deployed on all operations in a year

Number of Force Elements (typically ships, aircraft or ground force sub units) showing critical or serious weakness against the total number of force elements for Strategy of Defence priorities

Average number of months that the MOD Equipment programme is delayed in year

Percentage of Service Personnel (SP) that are deployable

Percentage change in filling skills areas where there are insufficient trained service personnel to meet the specified requirements

Percentage of Service Personnel (split by Officers and Other Ranks) who are satisfied with Service life in general

Overall public favourability of the UK Armed Forces

Indicator 1 Prosperity Business

Indicator 2 Prosperity Business

Foreign and Commonwealth Office

Number of Foreign direct investment projects attracted to the UK with UKTI involvement


Number of UK Businesses helped to improve their performance through internationalisation

Indicator 3

Indicator 4

Indicator 5


Trend in the gap between current low carbon investment, and the low carbon investment required to meet the 2C target


Progress toward a stable and secure Afghanistan (as indicated by the Government Effectiveness, Worldwide Governance Indicator in addition to monthly written updates to Parliament).


More effective, joined-up international system to prevent conflict and build capacity in fragile states.

Indicator 6

Indicator 1


Better consular service to British nationals abroad, as indicated by customer satisfaction (interim measure used)

International Development

Number of children supported by DFID in primary education

Indicator 2International Development

Number of insecticide treated bed-nets distributed with DFID support

Indicator 3International Development

Number of people with sustainable access to an improved sanitation facility as a result of DFID programmes

Indicator 4

Indicator 5


Number of people with access to financial services as a result of DFID support.


Number of people who vote in elections supported by DFID

Indicator 6

Indicator 7

Indicator 1


Number of births delivered with the help of nurses, midwives or doctors through DFID funding


Number of people DFID supports to cope with the impacts of climate change

Energy and Climate Change

The total number of energy efficiency installations (cavity wall and loft insulation) in GB households

Indicator 2

Indicator 3

Indicator 4

Indicator 5

Indicator 6

Indicator 7

Indicator 8


The number of households in ‘fuel poverty’ in England


Percentage of energy consumed in the UK that has been generated from renewable sources


The spare capacity of the UK’s gas and electricity networks (difference between maximum possible supply and actual peak demand)


The impact of other countries’ pledges to decrease their greenhouse gas emissions on predicted global emissions


Total emissions of greenhouse gases from the UK


Reduction in the Nuclear Provision through decommissioning and clean-up (in line with published Nuclear Decommissioning Authority business plans)


The proportion of all UK energy supply from low carbon sources

Indicator 1

Indicator 2 Farmland birds index

Indicator 3

Indicator 4

Environment, Food and Rural Affairs

Agricultural soils nitrogen balance



Productivity of the UK agricultural industry


Uptake of Higher Level Stewardship (HLS) schemes

Indicator 5

Indicator 6 Household recycling rates

Indicator 7


Net improvement in surface water bodies in England



Cattle herds that are Officially TB Free (OTF)

Indicator 8

Indicator 1

Indicator 2


Number of households where the risk of damage from flooding and coastal erosion has been markedly reduced

Culture, Media and Sport

Proportion of children participating in competitive sport


Total amount of charitable giving (donations and sponsorship) to cultural institutions we fund.

Indicator 3

Indicator 4

Work and Pensions Indicator 1


Number of people directly employed in tourism (including change from one period to the next)


OFCOM's Best-in-Europe scorecard (measuring Coverage, Speed, Price and Choice of broadband service)

Rates of people moving from out of work benefits into employment



Numbers on key out of work benefits:Jobseekers Allowanceincapacity benefits / ESALone Parents receiving Income SupportOthers on Income related benefits; in line with monthly labour market stats and quarterly benefit statistical releases

Proportion of children living in workless households



Young people not in employment or full time education

Gap between the employment rates for disabled people and the overall population

Work and Pensions Indicator 6 Rate of disability poverty

Work and Pensions Indicator 7 Monetary Value of Fraud & Error in the benefit system (MVFE)

Work and Pensions Indicator 8 Rate of pensioner poverty

Work and Pensions Indicator 9 Number of employees in a pension scheme sponsored by their employer




Average age people stop working

Public Opinion of DWP Service Levels

Social mobility in adulthood

Treasury Indicator 1


Treasury Indicator 3 Departmental DEL outturn


Cyclically adjusted current deficit (Excludes the temporary effects of financial sector interventions

Public Sector net debt as a percentage of GDP (Excludes the temporary effects of financial sector interventions)

GDP per capita (adjusted for inflation)

Treasury Indicator 5 Regional Employment Rate

Treasury Indicator 6 Main corporate tax rate



Number of top 50 European countries, by market capitalisation, listed in the UK

Total gross new lending by Barclays, HSBC, Lloyds Banking Group, RBS and Santander

Treasury Indicator 9a

Treasury Indicator 9b

Treasury Indicator 9c

Treasury Indicator 9d

Treasury Indicator 9e

Treasury Indicator 9f

Changes to government’s financial exposure to the financial sector through its exceptional support measures






Treasury Indicator 9g

Treasury Indicator 9h

Treasury Indicator 9i

Treasury Indicator 9j

Cabinet Office Indicator 1



Cabinet Office Indicator 4 Overall level of volunteering







Size of the total staffing resources required to support the work of government

Total savings made by improved management of relationships with key government suppliers

For every pound spent by government departments, the cost of running a central procurement function to buy common, standard government supplies and equipment

Number of participants in National Citizen Service

Averge cost of training a community organiser

Indicator 1

Indicator 2

Indicator 3

Indicator 4

Indicator 5

Indicator 6

Indicator 7

Indicator 8

HM Revenue & Customs

Cash collected from compliance - total amount of tax that HMRC collects from activity to tackle those individuals and businesses that have not paid the tax that is due, such as cash collected as a result of tax enquiries identifying evasion. £m - rounded to nearest £10m *


Revenue protected - tax receipts that are protected through HMRC activity, such as legislative action or guidance, that prevents non-compliance. £m - rounded to nearest £10m *


Payment on time - proportion of businesses and individuals (excluding employees who pay tax through PAYE) who pay tax on time – we will use VAT as a lead indicator.


Debt roll rate - proportion of tax debt (CT, SA, Employers' PAYE) arising in the year that has been cleared within 90 calendar days. (YTD)


Tax gap - difference between all the tax theoretically due & tax actually collected. Annual figure £m


Tax Credits Error and Fraud - Amount of tax credits money claimed by people who are not entitled to it. £m


% of post received by HMRC that has been cleared within 15 working days of receipt (YTD)


% of post received by HMRC that has been cleared within 40 working days of receipt (YTD)

Indicator 9

Indicator 10

Indicator 11

Indicator 12

Indicator 13

Indicator 14


% of post cleared within 15 working days of receipt that has passed HMRC quality standards (YTD)


% of post cleared within 40 working days of receipt that has passed HMRC quality standards (YTD)


% of calls attempt handled by our Contact Centres (quarterly).


% of transactions carried out online (quarterly % E-Returns, SA, PAYE, VAT, CT and Stamps)


The increase/decrease (-) in cost for our customers when they deal with us. £m. (end of quarter position compared to March 2011, with quarterly change in brackets).


Customers find us straightforward to deal with - All Customers (rolling annual score out of 100) and Customer Group breakdowns

Technical definition

Incidence of low-birth weight (<2500 grams) of term (≥37 gestation weeks) live births

We are currently developing headline indicators of health inequalities to be included in the public health outcomes framework. The following indicators are therefore interim measures for use in 2011/12 (see Rationale):(i) The Slope Index of Inequality (SII) in life expectancy (LE) at birth for England, for males and females separately(ii) The Slope Index of Inequality (SII) in disability-free life expectancy (DFLE) at birth for England, for males and females separately

The SII summarises the social inequality in LE and DFLE across England. It represents the gap in years of LE/DFLE between the least and most deprived areas in England, based on a statistical analysis of the relationship between LE/DFLE and deprivation scores across the whole population. It is calculated by grouping lower layer super output areas (LSOAs) in England into quintiles based on the Index of Multiple Deprivation 2007 score (IMD 2007) for each LSOA and calculating LE/DFLE for each deprivation quintile. Each quintile contains approximately a fifth of LSOAs in England.

Period life expectancy at birth (LE) for an area in a given time period is an estimate of the average number of years a new-born baby would survive if he or she experienced the particular area’s age-specific mortality rates for that time period throughout his or her life.Disability-free life expectancy at birth (DFLE) is an estimate of expected years of life spent without a self-reported limiting long-standing illness or disability. Long-standing illness or disability is defined using the following questions from the General Lifestyle Survey: ‘Do you have any long-standing illness, disability or infirmity – by long-standing I mean anything that has troubled you over a period of time or that is likely to affect you over a period of time?’ and 'Does this illness or disability (Do any of these illnesses or disabilities) limit your activities in any way?'LE and DFLE reflect mortality and morbidity among those living in an area in each time period, rather than mortality and morbidity that will be experienced throughout life among those born in the area. They are not therefore the number of years a baby born in the area could actually expect to live or live free of disability, both because the death and morbidity rates of the area are likely to change in the future and because many of those born in the area will live elsewhere for at least some part of their lives.

Figures are four-year rolling averages, based on data aggregated over four-year time periods.

Under development, to be completed by Dec 2011

Incidence of low birth weight (<2,500 grams) of all live births where socio-economic classification of father as defined by occupation is NS-SEC groups 1-4

Incidence of low birth weight (<2,500 grams) of all live births where socio-economic classification of father as defined by occupation is NS-SEC groups 5-8

Mortality rate from causes of death considered to be amenable to healthcare per 100,000 population (list of causes to be confirmed by Autumn 2011)

A new definition is required, based on measurements using the EQ-5D questionnaire which describes health status across the following five domains:• Mobility• Self-care• Usual activities• Pain/discomfort• Anxiety/depression* EQ-5D™ is a registered trademark of EuroQol. Further details are availablefrom www.euroqol.org. [DN: this text must be included with any reference to EQ-5D]

This is a composite indicator, reflecting the reported experience of adults using social care across eight outcome areas: control over daily life, dignity, personal cleanliness and comfort, safety, food and nutrition, occupation, social participation and accommodation. All outcome areas are weighted equally.The data for the indicator are taken from the Adult Social Care Survey, an annual survey of people in receipt of local authority social services.The choice of indicator and construction has been tested (see report at www.pssru.ac.uk/pdf/dp2736).A ‘value added’ indicator is being developed which would be a much better measure of performance of social services and, if feasible, this would be in place from 2011-12. The indicator described here would be a stop-gap until this came into operation and the value added indicator could be calculated retrospectively for 2010-11 so that time series comparisons can be made.See formula below for technical calculation of the indicator.

Existing definition published by NCHOD at (www.nchod.nhs.uk) is:

Emergency admissions to hospital of persons with acute conditions (ear/nose/throat infections, kidney/urinary tract infections, heart failure) usually managed in primary care. Updated version to be available September 2011

Existing definition - Percentage of emergency admissions to any hospital in England occurring within 28 days of the last, previous discharge from hospital after admission. Updated version to be available September 2011

Patients’ experience of primary care including GP Services, NHS Dental Services and Out of Hours Services.

Published National Statistics summarise each survey into a set of five domain scores (out of 100) and an overall score calculated as the average of the fivedomains:• access & waiting;• safe, high quality co-ordinated care;• better information more choice;• building closer relationships; and• clean, comfortable and friendly place to be.The overall score is the NHS outcomes measure.

This indicator captures the reported overall satisfaction of adults receiving local authority-commissioned social services with their care.The data for the indicator are taken from the Adult Social Care Survey, an annual survey of people in receipt of local authority social services. The indicator is based on a single question in the survey.See formula below for technical calculation of the indicator.

The definition exists but requires minor refinement to agree numerator and denominator – Patient safety incidents resulting in severe harm or death reported to the National Reporting and Learning Service (NRLS) by provider organisations per 100,000 population

The definition exists but requires minor refinement to agree numerator and denominator – Patient safety incidents reported to the National Reporting and Learning Service (NRLS) by provider organisations per 100,000 population

Percentage of pupils, at the end of Key Stage 2, achieving level 4 or above in English and Maths.

This measure includes all pupils in maintained schools ,(including Academies, Free Schools and special schools) in England who complete Key Stage 2 (KS2) in a given year. Completion of KS2 is defined as becoming eligible for both English and Maths tests or, in the case of pupils who do not do both tests in the same year it is the year that they become eligible for the second of the 2 tests.

The percentage of pupils, at the end of Key Stage 4, achieving the Basics.The Basics To be counted in the indicator pupils must have achieved a grade A*-C in:• GCSE in English; or • GCSE in English Language; or• GCSE Double Award in English; or • Cambridge International Certificate in First Language English; or• CIE legacy iGCSE in English – First Language• GCSE in English StudiesAnd• GCSE in Mathematics; or• GCSE in Additional Mathematics; or• Achievement of a grade C in at least one of the new linked pair mathematics GCSE qualifications ‘Applications of Mathematics’ and ‘Methods in Mathematics'; or• Cambridge International Certificate in Mathematics; or• CIE legacy iGCSE in Mathematics

The percentage of young people in England who have attained a full Level 3 qualification by the end of the academic year in which they turn 19.

Achievements in the following qualifications are counted as full Level 3:

> 1 AS level (including VCE – Vocational Certificate of Education) at grade A to E equals 25%> 1 A/A2 level (including VCE) at grade A to E equals 50%> 1 NVQ pass at level 3 or higher equals 100%> 1 ‘full’ VRQ* (accredited Vocationally Related Qualification) pass at level 3 or higher equals 100%> 1 International Baccalaureate pass equals 100%> 1 Advanced Apprenticeship equals 100%

* A full Level 3 VRQ is counted as any with 595 or more guided learning hours.

Further information on definitions, background, methodology and qualifications counted towards this indicator can be found in the technical notes to the annual Statistical First Release (SFR) on Level 2 and 3 attainment by young people:

http://www.education.gov.uk/rsgateway/DB/SFR/s000917/index.shtml

Note that this measure of attainment at 19, and in particular how we include equivalencies, may be revised following the Wolf Review of Vocational Education.

The percentage of young people who have not attained a Level 2 qualification in English and Maths at age 16, who go on to attain Level 2 or higher qualification in both by the end of the academic year in which they turn 19.

Achievements in the following qualifications are counted as level 2:English:> GCSE, AS level, or A/A2 level in English Studies or English Language> Level 2 (or higher) Key Skills in Communication> Level 2 (or higher) Certificate in Adult Literacy> Level 2 (or higher) Award in Functional Skills EnglishMaths:> GCSE, AS level, or A/A2 level in Mathematics> Level 2 (or higher) Key Skills in Application of Number> Level 2 (or higher) Certificate in Adult Numeracy> Intermediate (or higher) Free-Standing Mathematics > Level 2 (or higher) Award in Functional Skills Mathematics

The percentage of pupils at the end of Key Stage 4 (usually pupils who are aged 15 on the 1st September of the academic year) achieving the English Baccalaureate.The following subjects are counted towards the English Baccalaureate:Full GCSEs at grades A*-C and Double Award GCSEs at grades A*A*-CC will count towards its achievement. Accredited iGCSEs at grades A*-C and their legacy qualifications will also count. Further details of the specific components are given below:

English · GCSE in English · GCSE in English Language · GCSE Double Award in English · Cambridge International Certificate in First Language English · CIE legacy iGCSE in English – First Language English Studies, English Literature, English as a second language and Digital Communication are not included.

Mathematics · GCSE in Mathematics · GCSE in Additional Mathematics · Achievement of a grade C in at least one of the new linked pair mathematics GCSE qualifications ‘Applications of Mathematics’ and ‘Methods in Mathematics’ · Cambridge International Certificate in Mathematics · CIE legacy iGCSE in Mathematics

Science The science component will be awarded if pupils: · Enter all three single sciences (Biology, Chemistry and Physics GCSEs, Cambridge International Certificates or CIE legacy iGCSEs) and achieve grades A*-C in two of them.· Achieve grades A*-C in Science and Additional Science GCSEs · Achieve grades A*A* - CC in Science GCSE Double Award

Humanities · GCSE in History · GCSE in Ancient History · GCSE in Geography · Cambridge International Certificate in History · Cambridge International Certificate in Geography · CIE legacy iGCSE in History · CIE legacy iGCSE in Geography

Languages · GCSEs in Modern Foreign Languages including Welsh and Welsh as a 2nd Language

This measure compares the attainment of pupils known to be eligible for Free School Meals with the rest at the end of Key Stage 2.

At Key Stage 2, comparisons are made for the percentage of pupils achieving the expected level in both English and Maths (level 4 or above).

The technical definition for this impact indicator mirrors, as far as possible, the specification for the impact indicator measuring the attainment of ‘the basics’ at age 11.

The definition for future years may change from eligibility for FSM in a particular year to whether a pupil was ‘ever eligible’ for FSM.

This measure compares the attainment of pupils known to be eligible for Free School Meals with the rest at the end of Key Stage 4.

At Key Stage 4, comparisons are made for the percentage of pupils achieving the Basics. The current Basics indicator shows the percentage of pupils achieving good GCSE grades (A*-C) in both English and Maths. Our intention is to include science in this 'Basics indicator’ from next year. Work is continuing on defining the “Basics” in detail.

The technical definition for this impact indicator mirrors, as far as possible, the specification for impact indicator measuring the attainment of ‘the basics’ at age 16.

The definition for future years may change from eligibility for FSM in a particular year to whether a pupil was ‘ever eligible’ for FSM.

"The measure compares the attainment of pupils who were known to be eligible for Free School Meals (FSM) at academic age 15 with those who were not. The comparison groups only include those who were in state-funded education at age 15.

Comparisons are based on the percentage of young people who attain a Level 3 qualification by the end of the academic year in which they turn 19.Achievements in the following qualifications are counted as full Level 3: 1 AS level (including VCE – Vocational Certificate of Education) at grade A to E equals 25% 1 A/A2 level (including VCE) at grade A to E equals 50% " "> 1 NVQ pass at level 3 or higher equals 100% 1 ‘full’ VRQ* (accredited Vocationally Related Qualification) pass at level 3 or higher equals 100% 1 International Baccalaureate pass equals 100% 1 Advanced Apprenticeship equals 100%* A full Level 3 VRQ is counted as any with 595 or more guided learning hours.

Further information on definitions, background, methodology and qualifications counted towards this indicator can be found in the technical notes to the annual Statistical First Release (SFR) on Level 2 and 3 attainment by young people:http://www.education.gov.uk/rsgateway/DB/SFR/s000917/index.shtml

Note that this measure of attainment at 19, and in particular how we include equivalencies, may be revised following the Wolf Review of Vocational Education.

This measure compares the attainment of looked after children with the attainment of “the rest”.

The children included in the looked after children group are those children who are looked after during the year who have been looked after continuously for 6 months. These are the pupils eligible for the pupil premium.

“The rest” is defined as all children who are not looked after according to the specific criteria above.

At Key Stage 2, comparisons are made for the percentage of pupils at the end of Key Stage 2 achieving the expected level (level 4 or above) in both English and Mathematics.

At Key Stage 4, comparisons are made for the percentage of pupils at the end of Key Stage 4 achieving the “Basics”, the current Basics indicator shows the proportion of pupils achieving good GCSE grades (A*-C) in both English and Maths. Our intention is to include science in this 'Basics indicator’ from next year. Work is continuing on defining the “Basics” in detail.

The results for children at school are included; this includes all maintained schools, independent schools, special schools, Pupil Referral Units, alternative provision and FE colleges.

This impact indicator is defined at national level. The intent is that this calculation and the coverage will work at national and local authority level. Information on the attainment gaps may also be published at school level for Key Stage 2 and Key Stage 4, however at school level this will be presented as a ‘deprivation gap’ overall which will combine the LAC with the FSM group rather than presenting the LAC information separately.

The proportion of young people in England of academic age 16/17 who are participating in education or work based learning.

Young people are deemed to be in education if they are enrolled in a course at a school, further education college, sixth form college, or higher education institution. Work Based Learning for young people comprises Apprenticeships, Advanced Apprenticeships and Entry to Employment.

The number of schools judged to be performing below the floor standard for the phase of schooling.

The percentage of overall absence in primary, secondary and special schools. The overall absence rate is defined as the total number of absences (authorised and unauthorised) as the percentage of the total number of possible sessions, for the first two and a half terms of the academic year.

Percentage of pupils educated in alternative provision achieving (1) Level 1 (GCSE A* to G or equivalent qualifications) and (2) Level 2 (GCSE A*-C or equivalent qualifications) in English and Maths skills.

i) Number of academies and free schools opened nationally ii) Number of academies and free schools opened by LA as a % of all schools.

In accordance with international reporting protocols each of the gases is weighted by its global warming potential relative to that of carbon dioxide and presented in terms of the equivalent amount of carbon dioxide. Total transport greenhouse gas emissions include those from domestic transport as well as international shipping and aviation.

The Public Performance Measure (PPM) combines figures for punctuality and reliability into a single performance record. It covers all scheduled franchised passenger services, seven days a week and measures the arrival punctuality of individual trains against their planned timetable. These plans, technically called “plan of the day”, are usually the same as the published timetable with amendments reflecting pre-published engineering amendments; however, they may differ from their originally published timetable. The reliability figure records the percentage of services that are cancelled.

Trips under 5 miles by residents living in an urban area (settlement of over 3,000 population) where the main mode of transport was walking or cycling and public transport.

There are two elements to this indicator, one for non-frequent service and one for frequent services -

Proportion of bus services running on time on non-frequent services (5 or fewer services per hour). “On time” is defined as being between 60 seconds early and 5 minutes, 59 seconds late.

The average excess waiting time of frequent buses (more than 5 services per hour).

The reliability of journeys on Highways Agency’s motorway and A road network is measured by the percentage of ‘journeys’ that are ‘on time’. For this measure, a ‘journey’ represents travel between adjacent junctions on the network. An ‘on time journey’ is defined as one which is completed within a set reference time, drawn from historic data on that particular section of road.

Deaths in road traffic accidents on the public highway reported to the police where the casualty sustained injuries which caused death less than 30 days after the accident. Confirmed suicides are excluded. [See Notes and Definitions in Reported Road Casualties Great Britain: Annual Report 2011

http://assets.dft.gov.uk/statistics/series/road accidents and safety/reported road casualties gb notes definitions.pdf] ‐ ‐ ‐ ‐ ‐ ‐ ‐ ‐

The number of new vehicles with pure electric engines, plug in hybrid engines or cars with CO2 emissions below 75 ‐g/km at tailpipe registered in the United Kingdom each year.

Seasonally-adjusted numbers of housing starts and completions

Numbers of new build completions plus net conversions plus net change of use less demolitions

This indicator relates the car ownership rate to the average public transport time to seven key services. The indicator is indexed (as a score of 100) to the England average for 2010.

Number of affordable housing starts and completions delivered through the Homes and Communities Agency. Likely to include delivery through the Greater London Authority from 2012, when it is due to take on HCA's role in London.

Average Standard Assessment Procedure (SAP) energy rating score for new homes. The SAP rating for a home is based on the energy costs associated with space heating, water heating, ventilation and lighting, less cost savings from energy generation technologies. It is expressed on a scale of 1 to 100 - the higher the number, the lower the running costs.

Number of households in temporary accommodation

The number of planning permissions granted as a percentage of all applications for major and minor schemes

Including fatalities and 'first aid' cases but excluding precautionary checks (where no obvious injury, but a check-up recommended); expressed per 100,000 resident population

The percentage of revenue grants that central government pays to local government (excluding schools grants) that are not ring-fenced. Does not include police services.

The private sector share of the potential workforce will be defined as:

100*(Private sector employment[Aged 16+])/ (Private sector employment[Aged 16+] +Unemployment[Aged 16+] + Inactivity[Aged 16-64])

Success will be a statistically signficiant annual or four quarter increase in the indicator.

The indicator would be assessed in two groups London, East and South East (GSE) (due to high commutting flows between these regions) and then the remaining regions of England (NMW).

The OECD provides unrounded percentage data for each country. BIS presents ranks based on this, although the actual percentages are presented rounded to nearest integer (as in the OECD publications).

The ranks are derived from the set of full OECD member countries which have returned data for the qualification level under consideration at the time of publication by OECD. Some countries are unable to report against some parts of the international standard; in recent years more countries have been included in comparisons of performance at upper secondary level than are included at tertiary level.

Percentage = 100 * estimated number of people aged 25-64 with relevant education / estimated population aged 25-64

The percentage of the academic age 18-24 year old population engaged in education or training activity, either full-time or part-time.

Indicator under development

Free School Meals is a proxy for low income

The indicator takes the following form:(i) The percentage of 15 year olds with FSM progressing to HE by age 19(ii) The percentage of 15 year olds eligible without FSM progressing to HE by age 19(iii) The overall percentage of 15 year olds progressing to HE by age 19(iv) The percentage point gap between (i) and (ii)

The population of school children relates to those 15 years olds educated in English maintained schools only.

Young People eligible for FSM come from families who receive Income Support or Jobseekers allowance. Typically, where the Head of the Household is long term jobless. Around 13-14 per cent of maintained secondary school children claim free school meals. This does not include those who are eligible for FSM by Income criteria but don’t register.

Data is provided by Thomsan Healthcare and Science. The Healthcare and Science Indexes over 8,000 journals in 35 languages, which is agreed to represent most or all of the material likely to be recognised as having significant value to others for most science fields.

Citations are the formal references made in a journal paper or other publicaiton to earlier work. These citations usually indicate that the earlier work supports the publication's methods, data or claims in some way. Negative citations may also occur.

Highly cited papers are top 1% of papers which have received the most citations over the last 10 years.


The proportion of adults (18-64) of working age in the process of starting or running a business less than 42 months old.

An innovation-active firm is one that has had innovation activities during theperiod under review, including those with ongoing and abandoned activities. In other words, firms that have had innovation activities during the period under review, regardless of whether the activity resulted in the implementation of an innovation, are innovation-active

Innovation: an innovation is a new or significantly improved product (good or service) introduced to the market or the introduction within an enterprise of a new or significantly improved process. Innovations are based on the results of new technological developments, new combinations of existing technology or the utilisation of other knowledge acquired by the enterprise. Innovations may be developed by the innovating enterprise or by another enterprise. However, purely selling innovations wholly produced and developed by other enterprises is not included as an innovation activity. Innovations should be new to the enterprise concerned. For product innovations they do not necessarily have to be new to the market and for process innovations the enterprise does not necessarily have to be the first one to have introduced the process.

The ease of doing business index ranks economies from 1to 183. The index is calculated as the ranking on the simple average of country percentile rankings on each of the 10 topics covered in Doing Business in 2006. The ranking on each topic is the simple average of the percentile rankings on its component indicators.

Government calculates the impact on business of new legislation in Impact Assessments before the legislation becomes law. Where the new BIS legislation relates to the regulation of employment the burden that this imposes. The impact of regulations added and removed during the course of a year are summed to show whether the total impact of employment regulation has increased or decreased and by what amount.

Government calculates the impact on business of new legislation in Impact Assessments before the legislation becomes law. Where the new BIS legislation relates to the regulation of employment the burden that this imposes. The impact of regulations added and removed during the course of a year are summed to show whether the total impact of employment regulation has increased or decreased and by what amount.

The average of imports and exports (of both goods and services) at current prices as a percentage of GDP. The data are taken from national accounts statistics compiled according to the 1993 System of National Accounts. Goods consist of merchandise imports and exports. Services cover transport, travel, communications, construction, IT, financial, other business, personal and government services, as well as royalties and license fees.

The consumer benefits of the work of both the Competition Commission (CC) and the Office of Fair Trading (OFT) are calculated by the bodies and published in or alongside their annual reports. In particular, the consumer benefits of their competition work can be calculated primarily using OFT Positive impact report which takes account of the overlap of work between the two bodies and explicitly outlines the consumer benefits by each competition tool and for each body.

Results are annual estimates averaged over the three-year period 2007/08 to 2009/10 and include the work done by both the OFT and the CC.

Those coming into the UK to stay for 12 months minus those leaving for more than 12 months.

Crimes against an identified victim (including organisations) involving personal harm or loss/damage to property, which are brought to the attention of the police and constitute a notifiable offence (see Annex A).

1. Scale - The number of known organised criminals and the number of known organised crime groups as identified by law enforcement agencies and recorded on the Organised Crime Group Mapping database (at a particular date). 2. Coverage - The percentage of known organised crime groups (OCGs) subject to substantial law enforcement action, according to the Tiered Operating Response (TOR). This will be calculated based on the number of known OCGs subject to activity under tiers 1 - 3 of the TOR, as a percentage of all known OCGs during the past 12 months. 3. Assessed impact - The number of 'substantial disruptions' undertaken by law enforcement against OCGs in the past 12 months, as assessed by law enforcement 'Disruption Panels'.

The value of the excise tax payable on tobacco goods (cigarettes and hand-rolling tobacco) detected and alcohol products detected at the border and referred to HM Revenue & Customs (HMRC). The UK Border Agency contribution is also included in the figures for the HMRC Revenue Protected indicator.

International European Economic Area (EEA) and non-EEA passenger arrivals by air, rail and sea at ports where queues are monitored. Domestic passengers and all departures are excluded. Ports and airports involved in the sampling aim to take one queue measurement for every hour during passenger arrival times, where is it practical to do so. A queue is defined from when a passenger / vehicle joins a static body of people / line of vehicles to when they arrive at the UK Border control desk. To ensure consistency of approach, ports are advised to use one of two recommended methods - either a passenger or vehicle is picked out as they join a queue and then visually traced (by an officer on location or by CCTV) until they reach the border control desk or the passenger will be handed a card with the time of joining the queue noted and they are asked hand the card to the UK Border Agency officer on the desk as soon as they reach that point.

To process 99.5% of all straightforward Passport applications target (excludes delivery to customers)

Includes Visa, Family, Employment, Study, Visit, Sponsor, Accession, Permanent Residence, British Citizenship and Euro applications and withdrawn applications. Excludes asylum applications, absconders and those in-country application cases that have been deferred pending the outcome of an investigation or legal challenge. Dependants of the main applicant are excluded from the data unless they are required to make an application in their own right.The data represents initial decisions.

An asylum application is deemed to be concluded when an asylum seeker has either: been granted asylum, humanitarian protection or discretionary leave; withdrawn their claim; or, if refused, has left the UK (voluntarily or by enforced removal)Excludes unsubstantiated claims i.e. when an individual claims asylum but then does not turn up for their interview to substantiate the grounds of their claim. Data represents the number of main applicants.

The number of private and voluntary sector organisations who voluntarily report on gender equality, by size of workforce

The proportion of offenders who commit at least one further offence within a 12 month period which is proven by either a caution, reprimand or warning, or court conviction within that 12 month period. Offences only include those recorded on the Police National Computer in England and Wales, and exclude breach offences where there is no specific criminal offence.

Cohort - All offenders who received a caution, reprimand or warning; a court conviction other than immediate custody; were discharged from custody; or who tested positive for Class A drug use on arrest. Based on an offenders first such entry in a year.

The proportion of offenders who commit at least one further offence within a 12 month period of release from custody which is proven by either a caution, reprimand or warning, or court conviction.

Offences only include those recorded on the Police National Computer in England and Wales, and exclude breach offences where there is no specific criminal offence.

Rate per head of population (of 10-17 year olds) that receive a reprimand, warning or conviction, and who at that time have no previous reprimands, warnings or convictions.

Counting rules still being defined

Courts - the average length of time (in weeks) between the start and the conclusion of the case.

Crown and magistrates' courts - the start date is the date the offence was committed. The conclusion is the date the case is completed (each defendant counted separately).

Civil Proceedings (for those cases which reach hearing/trial stage) - the start is the date a civil claim is issued. The conclusion is the date of a small claims hearing or fast/multi track trial occurs.

Care Proceedings (for those cases where a care or supervision order is applied for) - the start is the date an application is received by a family court. The conclusion is the date the first substantive order is made (each child counted separately).

Tribunals - the start is the date of the receipt of appeal. The end is the date of disposal or outcome of appeal. Indicators are the durations of the 25th, 50th and 75th percentiles in the four largest tribunals.

The number of civil (non-family) claims dealt with in the county courts which reach 2 key stages of the courts process during a particular time period.

In chronological order these are the number of proceedings started, and the number of cases where a small claims hearing or fast/multi track trial took place.

The calculation gives a proxy estimate for the proportions of cases lodged with the court initially which are subsequently resolved without requiring a full hearing/trial.

The MOD's primary contribution is to contribute towards the ISAF-led operational campaign in Afghanistan where the UK provides the second largest contingent of forces (after the US). Indicators could be measured by the numbers of Afghan National Security Forices (ANSF) trained by the international ISAF coalition (against agreed targets) to seek to achieve the Governments national security objective of establishing a stable and secure Afghanistan. Working closely with FCO, DFID and the international community, the MOD is engaged in building the Afghan capability for security, in particular through the provision of UK troops for training, partnering and mentoring of Afghan National Security Forces. Detailed descriptions of progress, supported by a range of qualitative and quantitative assessments, will be provided in monthly reports to Parliament.

Percentage of Service Personnel (split by Officers and Other Ranks) who are satisfied with Service life in general

Overall public favourability of the UK Armed Forces

Total number of personnel deployed e.g. 250 deployed on several tasks throughout the year e.g. floods, foot and mouth etc.

Total number of attaches and advisors deployed and number of locations covered e.g. 250 deployed covering 22 countries

Number of Service and MOD Civilian Personnel deployed on all operations in a year - Weekly total for year divided by 52 to provide the average for the year.

Number of Force Elements against the total number showing weakness. Force elements reported are Frigates and Destroyers; Brigades; Fast Jets (Tornados and Typhoon) and Military Helicopters

Net Slippage across all Category A-C Equipment projects (in months), that have passed Main Gate Approval. Category A-C projects are defined as those with a capital value greater than £20M that have passed their main investment decision ("Main Gate")

Number of SP who are classed as 'Medically Fully Deployable' or 'Medically Limited Deployable' as a proportion of Trainied Strength

Percentage change in Operational Pinch points (OPPs); - a branch sepcialisation, sub-specialisation or area of expertise, where the shortfall in Trained Strength (Officers or ratings/Other Ranks) is such that it has a detrimental impact on operational effectiveness.

Criteria defining an involved inward investment success were set out by the International Business Development Forum (IBDF) and agreed by IBDF members including the Regional Development Agencies, Devolved Administrations, and UKTI. The IBDF was formerly known as the Committee on Overseas Promotion (COP).

Businesses are counted against the target only once in the year, even if they have received support relating to more than one overseas market during the year. A business is defined as a separate legal entity. Businesses are only counted against the target for whom details of support have been provided to the independent market research specialist for inclusion in Performance and Impact Monitoring Survey (PIMS). All such businesses are eligible for interview, and are selected for interview at random.

More effective, joined-up international system to prevent conflict and build capacity in fragile states.

Trend in the gap between current low carbon investment, and the low carbon investment required to meet the 2C target

It is important to note that the FCO is working towards a stable and secure Afghanistan, working in partnership with other UK Government partners, Afghan partners and as part of a 48-nation coalition. The FCO's primary contribution, working closely with MoD, DFID and the international community, is to work in partnership with the Afghan government to build the Afghan capability for good governance, including the effective rule of law. Detailed descriptions of progress, supported by a range of qualitative and quantitative assessments, will be provided in monthly reports to Parliament [insert link] and informed by the following quantitative metric (Government Effectiveness, Worldwide Governance Indicator). [Please note that FCO indicators for our role in Afghanistan should be considered in conjunction with MoD's indicator [insert link]:

The Worldwide Governance Indicator Country Data Report for Afghanistan displays Afghanistan's performance in the following six governance dimensions: Voice and Accountability; Political Stability and Lack of Violence/Terrorism; Government Effectiveness; Regulatory Quality, Rule of Law and Control of Corruption.

In order to create a single numerical indicator, the FCO will focus on the Government Effectiveness dimension, although the other 5 dimensions will also be taken into account in our wider analysis.

World Bank definion of Government effectiveness: Government effectiveness captures perceptions of the quality of public services, the quality of the civil service and the degree of its independence from political pressures, the quality of policy formulation and implementation, and the credibility of the government's commitment to such policies.

The % customer satisfaction is collected directly from the FCO consular satisfaction survey question "Overall, what did you think about the service provided by our staff?" This mandatory question is asked in the following three surveys – Assistance, Services and Detainees. The response options are Very Good, Good, Satisfactory and Unsatisfactory (Please comment).

Multiplies primary enrolment (ISCED definition) by the estimated DFID share of total public education expenditure (all sectors). Includes bilateral spending through government systems for both country and donor, therefore non- govt spending is excluded from both numerator and denominator. Does not include an estimate for DFID’s bilateral spend outside Govt (24% in 09/10). However for these projects and programmes estimates of numbers of children supported could be built up from outputs: ie how many children are expected to benefit from stipends and using classroom pupil and pupil teacher ratios how many children will benefit from classrooms built, new teachers trained, etc. There is a risk of double counting eg teachers could be benefiting the same children as the classrooms that should be avoided. Need to make clear that support to the pupils is partial, not total as in the bilateral calculation.DFID’s multilateral spend is also excluded: a different methodology would have to be used.

The term ‘insecticide treated bed-nets’ (ITNs) includes long-lasting ITNs, which are considered to have a useful lifespan of 3 years and other insecticide treated bednets which are considered to have an average lifespan of 1 year. Re-treatment of bednets is not included.

The term ‘distributed’ refers to physical distribution of an ITN to an individual through routine channels like antenatal care or to households through mass distribution campaigns.

The UK supports the distribution of ITNs through a variety of bilateral channels, including through direct project support, through pooled, sector and general budget support, and through UK multilateral support to UNITAID, UNICEF, Global Fund to fight AIDS, Tuberculosis and Malaria (GFATM) and World Bank.

An improved sanitation facility is one that hygienically separates human excreta from human contact. The bilateral results attributable to DFID will be those from direct investment in sanitation facilities and also those where DFID investment in hygiene promotion has motivated households and communities to invest in financing the construction of their own facilities. In some cases DFID hygiene promotion may result in facilities financed by others (such as national government schemes) being brought into active use. In these cases where hygiene promotion is the critical factor that leads to improved sanitation practices being adopted then it will be possible to also include these numbers in the total results. This indicator corresponds to the indicator for the MDG target to halve the number of people without sustainable access to basic sanitation by 2015. Basic sanitation facilities are considered the lowest-cost options for safe, hygienic and convenient facilities that prevent the user and his or her immediate environment from coming into contact with human excreta.For consistency with widely accepted indicators such as the Joint Monitoring Programme (JMP), access is defined as when a household has a private facility.Improved facilities include flush/pour flush toilets or latrines connected to a sewer, -septic tank, or -pit, ventilated improved pit latrines, pit latrines with a slab or platform of any material which covers the pit entirely, except for the drop hole and composting toilets/latrines. An improved facility is defined as a facility that is not shared. Where data is only available on the number of facilities provided this will need to be converted to “numbers of people served” by multiplying by the average household size.

A number of multilaterals are delivering significant results in water and sanitation. Results attributable to DFID will normally be assessed at the global level with the results attributable to DFID proportioned according to the overall allocation to the organisations. Where specific support is provided to multilaterals at country level to support water and sanitation programmes, it may be possible to attribute results to DFID but care will be needed to avoid double-counting with global programmes. Key organisations delivering results in this area will be World Bank (including Water and Sanitation Program), Asian Development Bank, African Development Bank and UNICEF.

This is a widely accepted indicator on financial access is focused on outreach. It includes Number of individuals reached with financial services (e.g. credit, savings/deposits, insurance, leasing, and transfer payments etc.).

The data should cover access across the type of products (deposits, credit, insurance etc) and type of institutions delivering the products (formal and informal, commercial banks, specialised state financial institutions, microfinance institutions, cooperatives and credit unions etc). Access to financial services = access made possible directly under DFID supported programme (e.g. micro credit to small borrowers from MFIs and banks supported by DFID programme) + nationwide expansion in access to financial services resulting from the policy changes and improvements in the enabling environment made possible through DFID support.Data will focus on bilateral activities. In the case multi-donor funded programme, data attributable to DFID should be calculated on the basis of DFID’s share in the total programme cost, including DFID staff time. Bilateral 3rd party activities (e.g. NGO projects funded by DFID) should be integrated only if they use a robust and compatible method for monitoring their impacts.

Measurement :- Direct results will be measured through monitoring and evaluations at the project level. - DFID programmes supporting policy changes and wider enabling environment (e.g. credit bureau, asset registry), data can be obtained from national and international sources. However, most central banks and national sources provide financial services access data in terms of volume or number of loan accounts and/or volume and number deposit accounts, but not in terms of individuals who own them and not give a clear picture of what proportion of the adult population use financial services. In such cases, country offices will commission, wherever possible based on size of programme and staff resources, periodic financial access surveys such as FinScope to collect data at the household and individual levels. - There may be a possibility of attributing results delivered through our core funding to multilateral organisations. We are currently developing methodologies to capture this.

This indicator is not attributable to DFID. It refers to the number of people who vote in National Assembly elections in DFID partner countries, i.e. Number of people who vote in National Assembly (sometimes called Parliamentary) elections in those countries where DFID is supporting electoral processes.

i) DFID attribution rateAttribution of results to DFID will be country specific, and should be informed by the primary aid modality used by the programme spend. For maternal and newborn health-specific programmes which would otherwise not have been implemented without DFID support, results can be fully attributed to DFID. The logframes of maternal and newborn health-specific programmes should include indicators and annual reviews should monitor progress. Total DFID spend on MNH will be the direct programme spend. In countries where DFID is investing in maternal and newborn health (MNH) indirectly through financial aid/pooled funds etc, total DFID MNH spend (including direct MNH spend and indirect spend through DFID spend on health systems strengthening) will be calculated. The share of health system spend that is defined as indirect DFID MNH spend is assumed to be 25% - in line with the G8 Muskoka methodology. Total DFID spend on MNH (numerator) by total government health spend (denominator) to get the pro-rata DFID spend on MNH - the attribution rate of MNH results for DFID; multiply this by total number of births assisted by SBA. ii) Total number of births attended by skilled birth attendant (SBA). SBA definition (WHO): ‘An accredited health professional – such as a midwife, doctor or nurse – who has been educated and trained to proficiency in the skills needed to manage normal (uncomplicated) pregnancies, childbirth and the immediate postnatal period, and in the identification, management and referral of complications in women and newborns’.Number of births attended by skilled birth attendants will be obtained by multiplying the percent of birth attended by SBA with number of live births. Percentage of SBA attended birth will be obtained as appropriate from country-level data and where possible by RHR/WHO on annual basis. The number of live births can be obtained by UN Population Division World Population Prospects Database.

The indicator will be measured through the monitoring and evaluation of DFID bilateral climate adaptation programmes and multilateral programmes financed by the UK. Identifying a target number of beneficiaries is now an essential step in the business planning process, and will therefore be a key outcome indicator for any programme we support. Therefore we expect the routine M&E of these programmes to be able to easily generate this information. The proposed definition of ‘support’ is relatively narrow: access to social protection (if the programme is defined as an ‘adaptation’ intervention), access to microfinance or microinsurance, support with construction of small-scale infrastructure at household or community level (eg community managed flood defences, plinths, watershed management), support to any community disaster risk reduction activities (eg early warning mechanisms, training). The definition does not include: households within the catchment area of a major infrastructure investment, or households falling within an administrative area where that local government entity is receiving capacity support. In this regard, we recognise that this indicator does not comprehensively cover the range of adaptation spend. As we develop more sophisticated impact evaluation methodologies for more ‘upstream’ and potentially transformative investments, we may pursue the option of including these demonstrated impacts in this measure.‘Adaptation support’ will be defined as that which is financed from the International Climate Fund. It will cover both bilateral, and multilateral spend, as well as any spend channelled through Policy Division, for example through NGOs. The data will include the DFID component of all ICF (International Climate Finance) spending on adaptation, approximately 50% of the total £2.9bn allocation. This will be spent through a mix of bilateral and multilateral channels, the precise mix as yet to be determined. It is unlikely that budget support will constitute a significant proportion of spend.

Assessment of the number of homes in Great Britain with a) cavity wall insulation and b) loft insulation to a depth of at least 125mm

UK emissions of the Kyoto Protocol basket of greenhouse gases as reported to the UNFCCC

Measures the number of households in England that need to spend more than 10% of their income (after income tax and national insurance) on domestic energy to maintain adequately warm in their home. Adequately warm is defined as achieving 21 degrees Celsius in the main living area, and 18 degrees in other rooms lived in.

The indicator uses data that reports the UK results of the Renewable Energy Directive. The UK target us to obtain 15 per cent of its energy from renewable sources by 2020. The target includes the use of electricity and heat (and other fuels used for heating) by final consumers, and the use of energy for transport purposes. Gross final energy consumption (which is calculated on a net calorific value basis) also includes consumption of electricity by electricity generators, consumption of heat by heat generators, transmission and distribution losses for electricity, and transmission and distribution losses for distributed heat. Additionally, the Directive includes a cap on the proportion that air transport can contribute to the total; this cap is currently 6.18 percent; certain fuels also receive a higher weighting in the calculation. Full details are set out in the Directive, which is available at the link shown in the Rationale section.

Electricity: The difference between the transmission entry capacity of UK power stations owned by major power producers and the simultaneous maximum load met in the UK. Gas: Difference between the peak forecast of supply and the actual maximum daily demand

The difference between what 2020 global emissions current national climate change targets compared with 2020 emissions consistent with a trajectory to 2 degrees C

The NDA accounts for the future cost of the decommissioning and clean-up of its estate by way of the Nuclear Provision (previously called the Nuclear Liability Estimate). The Nuclear Provision represents the total estimated cost of the rolled up plans for carrying out the NDA’s core mission of decommissioning and cleaning up its 19 sites. It includes waste management, maintaining safety and security at the sites and the NDA’s share of the costs of the Geological Disposal Facility. It does not include the costs of commercial operations and the associated income.

The sum of primary demand for non-fossil fuels (nuclear, wind, hydro, biomass and other renewables) divided by the sum of the primary demand for all fuels. Primary demand is defined as the sum of energy final consumption, transformation, transfers, energy industry use, and losses less non-energy use.

The soil nitrogen balance is a measure of the total loading of nitrogen on agricultural soils over the crop year, expressed in kilograms of nitrogen (N) per hectare of managed agricultural land. The surplus N is generally lost to the environment either to the air or to water causing significant environmental impacts. The soil nitrogen balance provides the single best measure of the widest range of impacts on ecosystems health.

Farmland bird numbers provide a good indication of the overall level of biodiversity and the extent and quality of habitats so represent the most suitable single measure of public goods. The farmland birds index is based on population trends for 19 farmland bird species. Short-term change may be only assessed reliably over a five year period.As of January 2011, the smooth (rather than unsmoothed) index will be used, to match the convention in the National Statistics of using smoothed data for short-term comparisons.

The measure used is total factor productivity (or TFP) which shows the volume of output leaving the industry per unit of all inputs including fixed capital and labour. It is the trend in this indicator that is important rather then individual changes in particular years.As of January 2011, Defra have improved our method of pricing fertilisers, which feeds into the Total Farm Productivity indicator. We have therefore recalculated this indicator. Results from Jan 2011 QDS onwards will not match previous editions.

National indicator capturing area of land covered by Higher Level Stewardship, as a proportion of the total Utilised Agricultural Area.

The Environment Agency monitors a wide range of chemical and biological 'Quality Elements' in bodies of river, lake, estuarial and coastal water (termed 'Water Bodies'), including oxygen balance, diversity and abundance of populations of aquatic plants and animals, and chemical and organic pollutants. The indicator reports the year-on-year improvement in quality of these measured elements, taking into account any deteriorations.

The indicator will record the proportion of waste from households that is recycled. This will include materials collected by both local authorities and private/voluntary organisations working on behalf of local authorities. It will exclude material which is collected for recycling, but actually rejected at collection, during sorting or at the gate of a recycling reprocessor. It will include material diverted from residual household waste („black bag‟ waste) for recycling through sorting or further treatment.

Data on the percentage of herds in England that are OTF (where non-OTF herds are defined as being issued with a TB2 restrictions form) will be presented. This indicator only reports on non-OFT herds because of a TB incident (and not those restricted because of an overdue test or for any other reason).

Proportion of children who have participated in competitive sport at least once in the last 12 months

The indicator measures cumulatively the number of households that have had their risk of damage from flooding reduced through both government investment in flood defence schemes and property level measures.As of the Jan 2011 QDS, this indicator measures the cumulative number of households within a financial year.

Charitable giving for Regularly Funded Organisations is defined in ACE's RFO annual submission as "Contributed income, which includes sponsorship, trusts and donations".

Charitable giving for National Museums and Galleries is defined in their performance indicator guidance note as" Fundraising income (gross income) – i.e. activities which involve seeking financial support from, e.g. sponsors, private benefactors, charitable trusts."

Cultural Institutions include, Arts Council England, English Heritage, National Museums and Galleries, British Library and the British Film Institute.

Number of people employed in tourism industries and, separately, the number of people directly employed in tourism (i.e. those supported by tourism consumption)

The percentage of UK adults within household with access to any, fixed and mobile broadbandSurvey-based results.

Monthly cohorts of on-flows to benefit are tracked to see how long it takes them to off-flow from benefits, and into work. The percentage of each cohorts on-flows that have off-flowed after certain lengths of time (for example 52 weeks) is then calculated. This will be produced for the out of work benefits of JSA, ESA and ISIt will be expressed publicly as "x% of customers left benefit by y weeks. z% of these customers moved directly into known employment"

The non-seasonally adjusted number of people aged 16 to State Pension age claiming:Jobseeker’s Allowance (from Claimant Count);Employment and Support Allowance; Incapacity Benefit;Severe Disablement Allowance;Income Support (as a lone parent or in the “other” category)Pension Credit

The equalisation of State Pension age between 2010 and 2020 will change the composition of this group by including women between 60 and 64. Further rises to age 66, 67 and 68 for men and women will follow.

The ”Others on Income Related Benefit” category : • The majority are Pension Credit claims for men aged under State Pension ageThe remainder are on Income Support:• Some are disablement-related, with either the claimant, their partner or their child receiving a disability premium, but without falling in to the “Employment & Support Allowance and incapacity benefits” group.• And there are some remaining cases in other small groups

The groups that comprise the key-out-of-work benefits are based on the concept of Statistical Groups presenting each person by the main reason they are in contact with the Department.

A workless household is a household that includes at least one person aged 16 to 64 where no-one aged 16 or over is in employment.Children refers to all children under 16.

The indicator is the proportion of 18-24 year olds not in full time education who are not in employment.

The difference in the employment rates between the employment rate for disabled people, as defined the Equality Act (EA), and the overall population. This uses the ONS Headline Rate definition of the employment rate, i.e. between the ages of 16 and 64 for both males and females.(1) Calculate the employment rate for disabled people, as defined by the Equality Act ( EA) between ages 16 and 64. This is done by dividing number of EA disabled people in the age range who are in employment by the total number of EA disabled people in this age range.(2) Calulate the employment rate for all people between the ages of 16 and 64, by dividing the number of people in this age range who are in employment by the total number of people in this age range(3) Take the difference, in percentage points between the above calculations

Estimates of the levels of overpayment and underpayment due to fraud and error across the benefit system

Percentage of individuals in families containing someone who is disabled with incomes below 60 per cent of contemporary equivalised median income, Before Housing Costs

Percentage of pensioners with incomes below 60 per cent of contemporary equivalised median income, after Housing Costs

Employee jobs where the individual is aged at least 22 and under State Pension age (SPA) and earning above the earnings threshold for automatic enrolment who are participating in a pension scheme sponsored by their employer. An individual may have more than one job.

The average age of withdrawal measures the ages at which older people withdraw from the labour market and become inactive. This indicator is measured using the "average age of withdrawal from the labour market" statistic which has been previously published by the ONS, specifically using the 'static' methodology, which provides more up to date data.

The average age of withdrawal is based on multiplying each age by the probability of exiting the labour market at that age.

The indicator is the percentage of people who have had contact with the Department in the previous 6 months through Jobcentre Plus (JCP) and the Pensions Disability and Carers Service (PDCS) who are either fairly or very satisfied.

There will be a score for overall satisfaction, with sub-indicator scores for satisfaction against each of the 4 Key Drivers of Customer Satisfaction (On Time, Right Treatment, Right Result, Easy Access). These Key Drivers were identified via extensive research with customers, staff and intermediaries and form the basis of DWP’s Customer Charter.

We are committed to working with the Department for Business, Innovation and Skills and others to develop new measures of progress in improving social mobility looking at access to the professions, progression in the labour market and the availability of ‘second chances’ to succeed in the labour market.

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RBS

Lloyds Banking Group

Northern Rock Asset Management

Northern Rock Plc

Dunfirmline

Icelandic banks

Bradford & Bingley

Credit Guarantee Scheme

Asset Protection Scheme

Government indemnities of Bank of England Speciat Liquidity Scheme & Asset Purchase Facility

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Payments received in respect of additional liabilities that have been raised as a result of compliance interventions. These payments are paid at the close of an intervention, on account or are achieved after taking the appropriate debt management activities.

Revenue protected covers a variety of activities that either prevent non-compliance from happening, or prevent attempted non-compliance leading to loss of revenue. This includes the value of tax revenue protected as a result of UK Border Agency activities.

The roll rate metric measures the percentage of new debt not cleared 90 calendar days after it became overdue, passed on to be collected and collectible (i.e. HMRC is able to collect the debt because it is not under appeal for example). The measure covers PAYE (Pay As You Earn), CT (Corporation Tax) and SA (Self Assessment). This will be extended to include VAT when the data is available.

The tax gap is defined as the difference between tax collected and the tax that should be collected. The tax gap estimate is net of HMRC’s compliance activities.

Measure of the level of error and fraud in the tax credits system as a percentage of overall tax credit entitlement. Organised fraud cases are removed before the error and fraud calculations.

To measure the proportion of post completed within 15 days that required an HMRC employee to do something or an HMRC action that has an actual or a potential impact on the customer.

To measure the proportion of post completed within 40 days that required an HMRC employee to do something or an HMRC action that has an actual or a potential impact on the customer.

The volume of post that meets quality standards over the total amount of post cleared.

The volume of post that meets quality standards over the total amount of post cleared.

To measure the proportion of call attempts that are handled by HMRC's contact centres.

To measure the proportion of transactions carried out online.

To measure the change to overall ongoing costs (£million) to compliant business and individual customers of new or revised customer journeys, resulting from changes to HMRC’s products and processes. These costs are measured in terms of time and money necessary to comply with HMRC obligations.

To measure the customer experience of dealing with HMRC. The measure covers HMRC customers who have had a recent dealing with HMRC - including Individuals, Small and Medium Enterprises and Agents. The measure does not include large businesses. This is measured through the HMRC Customer Survey 2011-15.

Rationale Health Inequalities exist in all parts of England, and are a focus for activity in all areas. The attached health inequalities indicators are interim measures for 2011/12 only. The indicators of inequalities in life expectancy and disability-free life expectancy described in this document reflect inequalities in mortality and morbidity based on data for small areas. We intend to continue to develop appropriate measures of inequalities, in the light of the consultation on the PH Outcomes Framework, which will best support local activity and needs. The intention is to reflect inequalities in mortality and morbidity within areas aligning with local incentives to narrow inequalities.

This measure has been chosen within the context of DH’s other impact indicators to reflect the broader ambitions of the three outcomes frameworks proposed or now in place covering public health, adult social care and the NHS. We are currently developing headline indicator(s) of health inequalities as part of the public health outcomes framework. Our aim is to identify robust indicators that can be used to monitor inequalities within local areas as well as between local areas, and morbidity as well as mortality, subject to data availability.

This indicator has been included in the Public Health Outcome Framework, and has been chosen within the context of addressing issues of premature mortality, avoidable ill health, and inequalities in health. The underlying reasons for low birth weight babies born at term (fetal growth restriction) are better understood than premature births, so the measure focuses on term babies. Additionally, the risks for term babies can be reduced through public health interventions such as less exposure to direct (maternal) smoking, environmental tobacco smoke within the household, improvements in maternal nutrition, and socio-economic factors. Low birth weight is a well-established measure of increased risk to life and health in the early days and weeks of life, but has also been associated with a greater risk to cognitive and physical development throughout childhood. This indicator therefore It also reflects the well-being of mothers – a critical factor for virtually all aspects of child well-being. Therefore this measure complements the linked measure on health inequalities. We are currently consulting on the public health outcomes framework, and on headline indicator(s) of health inequalities as part of that. Our aim is to identify robust indicators that can be used to monitor inequalities within local areas as well as between local areas, and morbidity as well as mortality, subject to data availability.

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Low birth weight is a well established indicator of the increased risks to a newborn's chances for survival, growth, long-term health, and cognitive and physical development throughout childhood. Disaggregation by a socio-economic factor addresses the Social Mobility Strategy to narrow socio-economic gradients for all low birth weight births.

Low birth weight is a well established indicator of the increased risks to a newborn's chances for survival, growth, long-term health, and cognitive and physical development throughout childhood. Disaggregation by a socio-economic factor addresses the Social Mobility Strategy to narrow socio-economic gradients for all low birth weight births.

This indicator is part of the NHS Outcomes Framework, which will be used by the Department to hold the NHS Commissioning Board to account for delivering better outcomes for patients. This indicator has been chosen to capture, at a high level, how successfully the NHS is meeting its objective in preventing people from dying prematurely where it can make a difference. It tracks progress across a range of conditions considered amenable to healthcare to reduce the risk of commissioners focusing on specific conditions at the expense of others

This indicator is part of the NHS Outcomes Framework, which will be used by the Department to hold the NHS Commissioning Board to account for delivering better outcomes for patients. It seeks to capture how successfully the NHS is helping people with long-term illnesses to live as normal a life as possible

The indicator provides a high-level, overarching perspective of the reported quality of life based on outcomes relevant to social care identified through research. It does not, however, in its current form measure social services’ contribution to the achievement of these outcomes. The focus on outcomes is crucial to the Government’s approach to accountability, in which local organisations are judged by citizens based on the results achieved, rather than the processes undertaken. This indicator is exemplary of that direction, and is proposed as one of the central overarching measures for the Outcome Framework for adult social care in the consultation document Transparency in outcomes: a framework for adult social care.This indicator gives the best overview of reported social care outcomes available, and asks the widest group of those who use services, including people with learning disabilities and in residential care. The different outcome areas contained within the indicator support the principles of the Government’s Vision for Adult Social Care: Capable Communities and Active Citizens.The measure is based on the ASCOT tool developed by PSSRU (www.pssru.ac.uk/ascot). The body of work developing the underlying outcome measure has involved consultation with stakeholders and has drawn upon the substantial literature reporting social care service users’ definitions of social care outcomes and their quality of life to develop the domains of outcome assessed in the measure (footnotes i, ii, iii & iv).

This indicator is part of the NHS Outcomes Framework, which will be used by the Department to hold the NHS Commissioning Board to account for delivering better outcomes for patients. It is intended to measure progress in preventing conditions from becoming serious and resulting unnecessarily in hospital admission. This measure therefore relates to delivering better outcomes for patients and reducing the costs associated with a hospital admission where a condition should be successfully managed in other care settings.

This indicator is part of the NHS Outcomes Framework, which will be used by the Department to hold the NHS Commissioning Board to account for delivering better outcomes for patients. It captures how effective the NHS is at improving outcomes for hospital patients in terms of recovering as effectively as possible and avoiding subsequent unnecessary hospital stays, including saving the additional costs associated with this.

This indicator is part of the NHS Outcomes Framework, which will be used by the Department to hold the NHS Commissioning Board to account for delivering better outcomes for patients. Data will be gathered fro the GP Patient Survey, which is a survey of people registered with GP Practices, but gives an opportunity to feedback about not only GP services but also NHS Dental Services and Out of Hours services.Often, people’s experience of primary care determines their overall view of the NHS.

This indicator is part of the NHS Outcomes Framework, which will be used by the Department to hold the NHS Commissioning Board to account for delivering better outcomes for patients. This indicator will capture the experience of the millions of people who are admitted as an inpatient to NHS hospitals.

The indicator provides an overarching perspective of the reported satisfaction of individuals receiving adult social care. The focus on outcomes is crucial to the Government’s approach to accountability, in which local organisations are judged by citizens based on the results achieved, rather than the processes undertaken. Satisfaction is a subjective outcome for the individual, indicative of the overall quality of care in relation to the expectations and experience of the individual. This indicator balances the focus on more objective, closely defined ‘outcomes’ in other areas, and supports the overall approach. It is proposed as one of the central overarching measures for the Outcome Framework for adult social care in the consultation document Transparency in outcomes: a framework for adult social care.The questions on overall satisfaction of social services has been developed and used for a number of years in surveys of social services clients which focussed on particular clients groups. Analysis of these surveys suggests that this question is a good predictor of the overall experience of services users and quality (Performance and quality: user experiences of home care services, Netten et al, http://www.pssru.ac.uk/pdf/dp2104_3.pdf).

This indicator is part of the NHS Outcomes Framework, which will be used by the Department to hold the NHS Commissioning Board to account for delivering better outcomes for patients. It is intended to embed patient safety more systematically in the NHS by providing the basis for staff to learn from safety incidents and avoid them in future, while reflecting an improved outcome of reducing the number of incidents resulting in serious harm.

This indicator is part of the NHS Outcomes Framework, which will be used by the Department to hold the NHS Commissioning Board to account for delivering better outcomes for patients. It is intended to embed patient safety more systematically in the NHS by providing the basis for staff to learn from safety incidents and avoid them in future.

Increasing the number of high quality schools is one of the key priorities set out in the Department for Education Business Plan. Over time this indicator will be relevant to assessing the impact of the government’s whole change programme for primary schools including: the introduction of primary academies and Free Schools; measures to promote the teaching of synthetic phonics in schools; and the reform of the National Curriculum.

Increasing the number of high quality schools is one of the key priorities set out in the Department for Education Business Plan. Over time this indicator will be relevant to assessing the impact of the government’s whole change programme for secondary schools including: the introduction of secondary academies, Free Schools and University Technical Colleges; improving the quality of the workforce; and the reform of the National Curriculum.

Ensuring young people are prepared for adult life through the reform of the school and qualifications system is a key priority of the government outlined in the Department for Education Business Plan. This indicator will be relevant to assessing the impact of these reforms as attainment of Level 3 is seen as the minimum requirement for entry into higher education, and has demonstrable returns in the labour market.

Ensuring young people are prepared for adult life through the reform of the school and qualifications system is a key priority of the government. This indicator will be relevant to assessing the impact of these reforms as attainment of Level 2 in English and Maths is seen as the minimum level for employability and progression to further study at higher levels.

Ensuring young people are prepared for adult life through the reform of the school and qualifications system is a key priority of the government outlined in the Department for Education Business Plan and Schools White Paper The Importance of Teaching. This indicator will be relevant to assessing the impact of those reforms.

Improving the attainment of pupils from the most disadvantaged backgrounds and closing the attainment gap with their peers is a key priority for the government. This indicator will be relevant to assessing the government’s success in this regard and in particular the impact of the Pupil Premium.

Improving the attainment of pupils from the most disadvantaged backgrounds and closing the attainment gap with their peers is a key priority for the government. This indicator will be relevant to assessing the government’s success in this regard and in particular the impact of the Pupil Premium.

Improving the attainment of young people from the most disadvantaged backgrounds and closing the attainment gap with their peers is a key priority for the government. This indicator will be relevant to assessing the government’s success in this regard.

The Government is committed to improving outcomes for looked after children. This indicator links directly to the priority in the DfE Business plan to improve support for children, young people and families, focusing on the most disadvantaged. This indicator will be relevant to assessing the government’s success in this regard and in particular the impact of the Pupil Premium for which looked after children are eligible.

Ensuring young people are prepared for adult life is a key priority of the government outlined in the Department for Education Business Plan. In the Schools White Paper The Importance of Teaching, the Government also made clear its continued commitment to raising the participation age to 17 in 2013 and to 18 by 2015. This indicator will be relevant to assessing progress against these aims.

Increasing the number of high quality schools and addressing underperformance in schools are key priorities for the government. In this regard, it is important to set expectations of minimum standards of performance below which no school should fall. This is more carefully calibrated than in the past, so schools which help children to make above average progress will not be below the floor. This indicator will be relevant to assessing the government’s performance on a number of areas in the DfE business plan around improving educational standards including the development of more sponsored academies for underperforming schools

Tackling absenteeism in schools is a crucial part of the Government’s commitment to increasing social mobility and to ensuring every child can meet their potential.

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Helping all children to fulfil their potential, in particular by focusing support on the most vulnerable is a key priority set out in the DfE Business Plan. The attainment of pupils in alternative provision (AP) is well below that of pupils in mainstream. This indicator will be relevant to assessing the success of the government in narrowing that gap by raising standards in AP through a range measures including: diversification of the sector, making Academy/Free School status open to AP providers; improving or closing inadequate provision; and (in the longer term) making schools responsible for the provision for, and attainment of, the pupils they exclude.

Increasing the number of high quality schools is a priority in the DfE Business Plan. A key element of this will be improving standards by encouraging more diverse provision through the opening of Free Schools and increasing the number of academies. This indicator will be relevant to assessing the government’s success in this regard.

This indicator allows the public to compare the performance of train operating companies against one another, better enabling them to hold to account operators and the Department on rail performance.

Part of the Coalition priority to support sustainable local travel by making public transport, walking and cycling more attractive.

Bus users name punctuality as one of the most important factors they would like improved with their services. Further information on this can be found in Public experiences of and attitudes towards bus travel, here-

http://www.dft.gov.uk/statistics/releases/public-attitudes-towards-buses-march-2011/

One of the Department’s five structural reform priorities is to ‘tackle carbon and congestion on our roads’. This indicator measures the extent to which this has been achieved, monitoring what studies have repeatedly shown to be the biggest problem caused by congestion – unreliable journey times.

The measure been selected as an indicator of safer roads. It is one of the key outcome indicators set out in the Strategic Framework for Road Safety.

The Government is committed to supporting the early market for electric and other ultra low emission vehicles. This will deliver important economic and environmental ‐benefits; helping to promote green manufacturing and jobs; as well as reducing emissions arising from the road transport sector.

Lead indicators of a key component of housing delivery

Lead indicators of a key component of housing delivery

A key housing measure for which DCLG has policy responsibility

The measure has been selected as it incorporates information on car availability alongside walking, cycling, and public transport options to give an overall measure of how the Department’s policies encourage economic growth and reduce social exclusion.

The measure will have a rural focus, given distances travelled to access key services tend to be longer in rural areas.

These figures measure the increase in the total housing stock (including but not only through new build) to give the overall increase in the supply of housing. Changes over time will help to assess the impact, among other factors, of government policies to increase housing supply.

This demonstrates the number of homeless households in temporary accommodation awaiting a settled home and will indicate whether that goes up or down over time.

Change in the number of fire-related casualties demonstrates the net effect of activity relating to fire safety and of other factors affecting the incidence and seriousness of fires.

This demonstrates the percentage of government grants to local authorities which are unringfenced as a proxy to show the level of power being decentralised and devolved to local authorities; and whether this goes up or down over time.

This provides a proxy for the impact of the planning measures in the Growth Review. It covers the types of development that are most closely associated with growth.

Provides a measure for the Growth Ambition: An increase in private sector employment, especially outside London, East and the South East.

The indicator is based on the preferred source of information on public/ private sector employment in the UK.

The indicator addressing private sector employment growth relative to the potential workforce is inline with the specific policy objectives.

A comparison of qualification levels of 25-64 year olds showing UK performance against that in other OECD countries. BIS presents the OECD data as a two part indicator which shows the percentage of the population in each country with ‘at least upper secondary education’ (broadly equivalent to NQF Level 2 and above) and ‘tertiary education’ (broadly equivalent to NQF Level 4 and above).

This indicator provides a success measure for the Social Mobility Strategy for the 'Transition Years'. It provides a measure of whether the department has been sucessful at encouraging and enabling young people to take part in education.

Provides a measure for the Growth Ambition: An increase in the participation of 16-24 year olds in employment or learning

The indicator provides a measure of what percentage of this age group are engaged with learning that leads to a qualification or develops skills for a current or future job. It complements DWP's measure of worklessness amongst those not in Full-time education and effectively forms part of the Official Statistics measure of 18-24 year olds NEET.

Provides a measure for the Growth Ambition: Narrowing the educational attainment gap, allowing everyone to meet their potential

This indicator reflects the extent to which young people from low income backgrounds (measured by Free School Meal status) are progressing to Higher Education. Promoting widening participation and raising educational aspirations for disadvantaged youngsters are key aims of the BIS strategy to support Social Mobility

Improvements in positive HE outcomes for deprived youngsters will reflect he efforts made by HEIs to raise the aspirations of deprived youngsters either at the point of entry or at school age

Provides a measure for the Growth Ambition: Narrowing the educational attainment gap, allowing everyone to meet their potential

Indicator also included in the Social Mobiity Strategy.

Provides a measure for the Growth Ambition: Home to more of the world’s top universities than any other country except the USA

Provides a measure on the quality of the research generated by the Higher Education system.

Follows innovation activity in the UK

Indicator also included in the Social Mobiity Strategy.

BIS Priority is to boost enterprise and make this the decade of the entrepreneur. This indicator was chosen to reflect changes in those who are starting out in business, and was preferable to the official statistal series of business births which only captures activity once VAT and/or PAYE registration has occured.

Provides a measure for the Growth Ambition: Improving the UK’s ranking in major international indices of competitiveness

BIS has a priority to help small and medium-sized businesses start and thrive. The indicators presented and analyzed in Doing Business measure business regulation and the protection of property rights—and their effect on businesses, especially small and medium-size domestic firms. First, the indicators document the degree of regulation, such as the number of procedures to start a business or to register and transfer commercial property. Second, they gauge regulatory outcomes, such as the time and cost to enforce a contract, go through bankruptcy or trade across borders. Third, they measure the extent of legal protections of property, for example, the protections of investors against looting by company directors or the range of assets that can be used as collateral according to secured transactions laws. Fourth, a set of indicators documents the tax burden on businesses. Finally, a set of indicators measures different aspects of employment regulation.

The Plan for Growth sets out the ambition that the UK has the lowest burdens from employment regulation in the EU. A European wide measure of employment regulation is provided by the OECD indicators of employment protection is a scale 0-6 (least to most strict). The indicator draws on 21 items relating to three areas of employment protection legislation (individual dismissal of workers with regular contracts, additional costs for collective dismissals and regulation of temporary contracts). The OECD rankings are only updated every 4-5 years. On an ongoing basis the change in the regulatory burden imposed on business from BIS employment regulation will be reported. The latest OECD ranking took place in 2008 and the UK was ranked 3rd out of 30 OECD and selected non-OECD countries

The Plan for Growth sets out the ambition that the UK has the lowest burdens from employment regulation in the EU. A European wide measure of employment regulation is provided by the OECD indicators of employment protection. The indicator draws on 21 items relating to three areas of employment protection legislation (individual dismissal of workers with regular contracts, additional costs for collective dismissals and regulation of temporary contracts). The OECD rankings are only updated every 4-5 years. On an ongoing basis the change in the regulatory burden imposed on business from BIS employment regulation will be reported. The latest OECD ranking took place in 2008 and the UK was ranked 3rd out of 30 OECD and selected non-OECD countries

BIS has an objective to promote open and fair global markets. The measure of trade (export plus import) as a percentage of GDP provides a proxy measure of the degree to which the UK is open to trade. It measure the proportion of the traded sector in relation to total production.

The priority in the business plan is to protect and empower consumers. A major tool in this is the operation of the competition bodies which are set up to make markets work well (for consumers). This indicator was chosen following a consultation where it was suggested that this provides a clear link between the competition regime and benefits that are achieved for consumers.We would expect that the competition regime will continue to protect and deliver benefits to consumers and this will be demonstrated in the maintenance of significant consumer benefits being delivered by the OFT and CC.

What contribution the UK Border Agency is making to the protection of tax revenue

Links to Home Office Crime and Policing Groups' high level objectives. Broad, victim-focussed measure of offences primarily dealt with by the police and not directly influenced by the level of police activity, and is consistent with the wider Home Office priorities.

What impact the response to organised crime is having on reducing the threat from organised crime and dislocating their markets

What progress is being made in achieving the government aim of reducing net migration to tens of thousands

What level of customer service we are providing at the border - assessing achievement against our passenger clearance times

How well we are dealing with the volumes of asylum applications received

To ensure that IPS processes Passports in a timely manner

What level of customer service we are providing on the processing of migration applications - assessing overall achievement against our customer service standards

Section 7 of the Business Plan aims to promote transparency in public, private and voluntary sector on gender equality, including equal pay and, in that respect, to assess the take-up of voluntary gender equality reporting. The indicator is therefore strongly associated with an action point of the Business Plan.

To assess progress in reducing re-offending nationally and locally, as part of monitoring of Strutural reform plan - Rehabilitation revolution

To assess progress in reducing re-offending nationally and locally, as part of monitoring of Strutural reform plan - Rehabilitation revolution

To show the efficiency of the courts in processing cases, through measuring the length of time taken to process cases from the start to substantive end point. Structural reform plan - Reform courts

Promote wider use of alternative dispute resolution in the civil courts and have more cases resolved outside of court. This proxy measure will indicate the number of civil (non-family) cases coming to court and the number requiring a substantive hearing/trial to resolve. Structural reform plan - Reform courts

To show progress in Development of Better Law as part of Structural Reform Plan - to allow the public to monitor the number of new criminal offences, and the number of unused offences being repealed

Afghanistan is MOD's Main Effort as set out in the Departmental Business Plan. It should be noted, however, that UK activity in Afghanistan is part of the wider ISAF contribution and therefore should not be seen as having sole responsibility for delivering this objective.

Military aid to civil agencies is an important task for the Department.

Defence Diplomacy is a priority as defined in the Departmental Business Plan.

Overall commitment of Armed Forces and civilian personnel.

Overview of Readiness to meet contignet tasks.

Effectiveness of MOD equipment acquisition process.

Ability of Armed Forces to meet contigent commitment.

Ability of Armed Forces to meet critical tasks.

Armed Forces Covenant.

Public Support for military is key to operational success.

This provides a straightforward and transparent indicator of UKTI's impact, especially when taken in conjunction with its associated Input Indicator. It is supported by extensive evidence, via Performance and Impact Monitoring Survey (PIMS). It contributes directly to protecting and promoting the UK's National Interest by stimulating Inward Investment. It is intrinsically linked with the embedding of a commercial culture within the FCO.

This provides a straightforward and transparent indicator of UKTI's impact, especially when taken in conjunction with its associated Input Indicator. It is supported by extensive evidence, via Performance and Impact Monitoring Survey (PIMS). It contributes directly to protecting and promoting the UK's National Interest by stimulating Exports. It is intrinsically linked with the embedding of a commercial culture within the FCO.

The indicator has been chosen as a way of tracking whether we are on course to meet a 2C target. It links to the Business Plan objectives of accelerating the global shift to a low carbon economy, inclusive of the EU.

For validity, a measure was selected which is associated with the FCO's role in progressing a stable and secure Afghanistan (a metric relevant to Governance and Rule of Law). It is important to note that the FCO is working towards a stable and secure Afghanistan working in partnership with other UK government partners, Afghan partners and as part of a 48-nation coalition. Progress in Afghanistan should be considered as an Afghan-led process, supported by the international community. It is therefore not possible to empirically isolate and measure the sole impact of the FCO, however, it is valid to use Governance Indicators, as objective indicators of progress, for which the FCO is an active contributor.

The tracking of the Worldwide Governance Indicator will be supplemented by written reports to parliament, which will qualitatively describe progress, based on a range of supporting quantitative statistics.

The indicator links to the Business Plan priority "Use 'soft power' to promote British values, advance development and prevent conflict."

A stated major responsibility of the FCO is to support British nationals around the world through modern and efficient consular services. The purpose of the FCO Consular Service is to provide high quality support to British nationals abroad, in normal times and in crises. One measure of a better consular service, from the perspective of the British nations we assist, is a measure of customer satisfaction.To obtain a single numerical indicator, we have chosen a measure of customer satisfaction which is based on one survey question in our consular satisfaction survey. It is noted that the measurement of customer satisfaction can be derived from a range of contributing factors e.g. capable staff (polite, knowledgeable and trained), efficiency in terms of speed of service and number of cases successfully closed. The Consular Directorate of the FCO is currently improving its ability to capture customer feedback from a range of different tools, which, when combined into a single overall measure, will ensure a holistic look at the factors which contribute to customer satisfaction. Until these tools have been developed, we will use the existing measure of customer satisfaction as derived from a single question asked in the current survey we administer, as an interim measure. Note that a new consular customer satisfaction survey (online and paper) is currently being developed, which will provide the information we require to continually improve our service.

Estimates the number of children supported by DFID in the primary school system in any one academic year to enable DFID to attribute what its education aid investment buys in terms of access to primary education - a key policy priority in line with the MDG2. Increasing DFID financial support and increasing access to primary education both result in an increased number supported. The International Standard Classification (ISCED 1997) ‘facilitates the international compilation and comparison of education statistics’. ISCED education levels are based on national education systems and adapt them where necessary for international comparability. This is the mechanism used by UIS.

The distribution of ITNS is an internationally recognised output indicator monitored by National Malaria Control Programmes, the World Health Organisation, UNICEF, the World Bank, GFATM, UNITAID, G8 countries and for MDG 6c progress reviews.

Sanitation is one of the most off-track MDG indicators. Lack of sanitation has negative impacts on child health, nutritional outcomes and, for toilets in schools, education attendance. Ensuring everyone has access to sanitation is a high priority for the coalition government. Defining DFID objectives in sanitation is a key SRP commitment in support of actions to achieve the MDGs.

The rise of financial inclusion as an important policy goal. access to financial services can make a positive difference in the lives of the poor. Broad-based wealth and asset creation is a priority for DFID. Given that access to finance is a cross-cutting instrument, data on progress on financial inclusion is important to monitor our direct and indirect impact on MDG1. The inclusion of gender disaggregated statistics reflects DFID’s focus on women empowerment and indirectly monitors our impact on MDG3.

Supporting electoral processes is an important element of DFID's governance activity, and undertaken in most of the countries DFID works in. It is not possible to aggregate across all areas of DFID's governance support, so providing information about electoral process support was chosen as an area to report on of interest to the UK public. This particular element of governance activity gives a sense of the scale of reach of DFID’s electoral support.

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It is important to collect this information because it will give us a good indication of direct impact on poor people’s lives, from an area of programming that is relatively new. It is also flexible enough to capture outcomes at the household level that are not comparable across sub-regions, which is important as adaptation to climate impacts varies according to the risks in question. It links to international discussions and agreements on Adaptation in the context of the UNFCCC. There is no internationally agreed definition of successful outcomes in adaptation, so the UK will be breaking new ground in this area.

Supporting measure for Structural Reform priority ‘Save energy with the Green Deal and other policies and support vulnerable consumers’ and action to reduce energy use by households, businesses and the public sector, and help to protect the fuel poor.

Supports ‘investment in low carbon technologies’ included in the ‘Plan for Growth’

Supporting measure for Structural Reform priority ‘Save energy with the Green Deal and other policies and support vulnerable consumers’ and action to reduce energy use by households, businesses and the public sector, and help to protect the fuel poor.

http://eur-lex.europa.eu/LexUriServ/LexUriServ.do?uri=OJ:L:2009:140:0016:0062:EN:PDF

Acts as a supporting measure for Structural Reform priority to ‘deliver secure energy on the way to a low carbon energy future’ and reform the energy market to ensure that the UK has a diverse, safe, secure and affordable energy system and incentivise low carbon investment and deployment .

Supports Structural Reform priority to ‘Drive ambitious action on climate change at home and abroad’.

Supports Structural Reform priority to ‘Drive ambitious action on climate change at home and abroad’ seek international action to tackle climate change, and work with other government departments to ensure that we meet UK carbon budgets efficiently and effectively.

Supporting measure for Structural Reform priority to ‘manage our energy legacy responsibly and cost effectively’ – ensure public safety and value for money in the way we manage our nuclear, coal and other energy liabilities.

Nitrogen is a key input from farming mainly from mineral fertilisers and animal feeds. Excessive use of nitrogen leads to surplus levels in agricultural soils, measured by the nitrogen balance. This surplus is likely to be lost to rivers or air, posing a significant environmental risk. Any reduction in this surplus will reduce the environmental risks.

Bird populations are considered to be a good indicator of the broad state of wildlife because birds occupy a wide range of habitats, they tend to be near or at the top of food chains and there are considerable long-term data on changes in bird populations which helps in the interpretation of shorter term fluctuations.

This indicator is a key measure of agriculture‟s economic performance and a key component of its competitiveness. It measures how efficiently the industry uses resources available to turn inputs into outputs. It is based on the ratio of the volume of outputs to the volume of inputs.

Securing farmland under Higher Level Stewardship agreements is the best way of ensuring the most effective environmental management of farmland to conserve wildlife and maintain biodiversity; enhancing landscape quality and character; protecting the historic environment and natural resources and promoting public access and understanding of the countryside. Agri-environment schemes represent a major area of spend. Delivery of high-value environmental benefits under HLS will continue to be a priority area for Defra during the Spending Review period.

Water is essential for life. Protecting and improving the water environment is key to maintaining viable, productive ecosystems on which human life depends. A good quality, well managed water environment reduces the cost of treating water for human consumption and food production and contributes to reducing the impact of flooding as well as providing leisure opportunities that everyone can enjoy freely. We need to monitor change in the environment to check that we are doing the right things to protect and improve it where necessary. The indicator provides a means to track improvements whilst taking into account any deteriorations that may occur.

This indicator was chosen as it relates to an established EU target (50% recycling rate by 2020 in Waste Framework Directive), and is a readily recognised and easily understandable measure that reflects the efforts made by Local Authorities to drive management of waste up the waste hierarchy.

This indicator will represent a measure of success in reducing the general herd incidence of bovine TB. When combined with the input indicator, this indicator is a good outcome measure of the success of Government policy in containing and ultimately eradicating bovine TB in animals in the long term.

Flood and coastal erosion risk in England is increasing due to climate change and development in areas at risk. It is not possible to prevent all flooding or coastal erosion but there are actions that can be taken to manage these risks and reduce the impacts that they may have on communities. The benefits of managing the risk of flooding and coastal erosion typically outweigh investment costs many times over. By avoiding future damage to property, safeguarding insurance terms, and preventing the serious trauma and health impacts that flooding and erosion can cause Defra delivers on average £8 in long-term benefits to society for every £1 of capital investment - amongst the best value for money in the public sector.

This indicator will in part measure the SRP to 'create a sporting legacy from the Olympic and Paralympic Games.

It also helps with DCMS commitment to ensure accountability to Parliament for our policies and the money we spend

This measurement supports the 'Boost the Big Society SRP.

This measurement reflects proposals to incentivise more social investment, philanthropy and giving, including a strategy to boost giving from private individuals to cultural institutions.

This will help measure part of the 'Create the conditions for growth SRP'.

Facilitate sustainable growth in the tourism, media, leisure, creative and cultural industries, including by reforming the media regulatory regime

This helps measure the 'Facilitate the delivery of universal broadband SRP'. The BiE scorecard is a direct measurement towards the priority to 'facilitate the introduction of super-fast broadband in remote areas at the same time as in more populated areas'.

Supports DCMS commitment to ensure accountability to Parliament for our policies and the money we spend

Jobcentre Plus adds value by reducing the time it takes for a customer to move off benefit and into work. This is exactly what will be being measured. The measure directly impacts on the employment rate and will provide useful information to inform whether the department's spending review settlement is being implemented Strategic Reform Priority (SRP) 2 - Get Britain working

Reflects the Government’s economic and social objective of helping more people into employment and not dependent on the state.

Linked to Welfare Reform policy objectives and the development and delivery of the Universal Credit, And,- The policy objectives of the Work Programme to help more people off benefit into employment, And, - To the policy objectives of Jobcentre Plus to help more people off benefit and into employment. SRPs 1& 2 - Reform the welfare system & Get Britain working

DWP's core aims are around employment and hence preventing worklessness, and so this indicator ties in well with DWP's aims for employment.SRP3 - Help tackle the cause of poverty

The indicator demonstartes the government's success in improving the proportion of young people engaged in a positive activity - employment, education or training. It recognises the importance of raising participation in education and improving labour market outcomes for those not in full time education.

Transparency - This data allows DWP to monitor progress towards employment equality for disabled people and allows the public to assess how well the government is performing against the stated commitmentsFairness - Forms part of the coalition's government vision for DWP to promote high levels of employment by helping people who are out of work including those in disadvantaged groups to move into workEconomic Impact - Economical benefits to having people off benefits and into work. Important in terms of equality that disabled people benefit equally from an improving economy and not dispropotionally from an economic downturnSRP5 - Achieve disability equality

Tackling disability poverty is important in terms of fairness, as families with disability have a higher rate of low-income poverty than average. Using 60 per cent of contemporary equivalised median as a poverty threshold is what has been done historically and internationally.SRP3 & 5 - Help tackle the causes of poverty & Achieve disability equality

It is the primary DWP indicator for levels of Fraud and Error in the benefit systemIt is on the DWP business plan and Jobcentre Plus and PDCS respectively.It is the measure used for the DWP resource accounts.Important for DWP assurance on the impact of anti-Fraud and Error activity across the businesses. It has been used as the benchmark measure for the Fraud and Error StrategySRPs 1& 6 - Reform the welfare system & Improve our service to the public

There are a key set of government policies to provide support to people in old age to enable them to live with dignity and respect. These include the ‘triple guarantee’ that pensions are raised by the highest of earnings, prices or 2.5% as well as protecting key benefits for older people such as keeping the winter fuel payment exactly as budgeted for by the previous Government. Alongside this, rules and regulations relating to pensions are being simplified to help reinvigorate occupational pensions and prevent people from falling into poverty in later life. Each of these policies will have a positive impact on pensioner incomes.Using 60 per cent of contemporary equivalised median as a poverty threshold is what has been done historically and internationally. SRP4 - Pensions reform

It is estimated that around 7 million people are not saving enough for their retirement. A key element of the Government’s pensions reform outlined in the DWP Business Plan is the introduction of automatic enrolment whereby employers will be required to automatically enrol all eligible workers into a workplace pension. Automatic enrolment is intended to overcome the barriers to saving by harnessing inertia – ie rather having to decide to save in a workplace pension, an employee has to make an active decision not to save (opt-out). The incentive to save is reinforced by a mandatory minimum employer contribution. The Coalition Agreement set out the Government’s commitment to go ahead with the implementation of automatic enrolment.SRP4 - Pensions reform

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Extending Working life is one of the main responses to the 2006 Turner report and is an important part of response to demographic ageing and ensuring pensions sustainability.Tracking changes in average age of withdrawal will provide an indication of how government policies to encourage longer working as well as track wider cultural shifts in working later in life. SRP4 - Pensions reform

The indicator demonstrates DWP’s performance against SRP6 -Improve our service to the public. It is a critical element of our performance management - particularly given the scale of the resource DWP invests in serving 20m people per year (90% of our staff work in our front-line agencies with agency operating costs of over £4.7bn in 09/10). The indicator is generated from the JCP and PDCS surveys which feed into agency Performance Management Frameworks and provide the only robust, national assessment of customer service in each agency, allowing the agencies to review performance and improve services accordingly.Both surveys have Ministerial approval

Public sector surplus on current budget (SOCB) is the difference between public sector current receipts (including capital taxes) and public sector current expenditure (including depreciation). The cyclically-adjusted surplus on current budget is an estimated level of the surplus on current budget adjusted for the economic cycle. It is an estimate of the level of surplus on current budget that is expected to apply on average over the course of an economic cycle, in the absence of any discretionary changes to the existing fiscal stance

Public sector net debt as a % of GDP refers to the sum of money owed to the private sector by central government, local authorities, and public corporations; expressed as a percentage of Gross Domestic Product. The Government uses a measure of PSND excluding the temporary effects of financial interventions but including the permanent ones (PSND ex). This PSND ex measure is intended to show the underlying state of the public sector finances without temporary distortions caused by financial interventions, but including any permanent effects from these interventions.

Departmental Expenditure Limits (DEL) are firm departmental budgets. DEL plans for the years 2011-12 to 2014-15 were set out in the 2010 Spending Review. This indicator measures the difference between original Total DEL plans set out at the start of the year in the Budget and Total DEL reported in outturn.

The chained volume measure of Gross Domestic Product (GDP) measures the level of total economic activity in the UK, adjusted for the effect of inflation. To express real GDP in per capita (or 'per head') terms, it is divided by the resident population of the UK.

Listed, or jointly listed in the UK.

The LFS employment rate is the proportion of people in employment* aged 16 to 64 in the total population aged 16 to 64. Regional employment rates are computed by region of residence.* In employment: people who did paid work (as an employee or self-employed), those who had a job that they were temporarily away from, those on government-supported training and employment programmes, and those doing unpaid family work.

Combined corporate income tax rate: the basic combined central and sub-central (statutory) corporate income tax rate given by the adjusted central government rate plus the sub-central rate.

Gross committed lending to UK businesses by Barclays, HSBC, Lloyds Banking Group, RBS and Santander

0

As part of the Government Recapitalisation Scheme in December 2008, HM Treasury acquired approximately £15 billion of ordinary shares plus £5 billion of preference shares in RBS.On 19 January 2009 the Government announced its agreement with RBS to convert HM Treasury’s £5 billion preference share investment into new ordinary shares.On 26 November 2009, the Government and RBS signed binding agreements under which the Government injected £25.5 billion of capital in the form of B shares.In addition, the Government agreed to provide up to £8 billion of additional capital in return for B shares in the event that the bank’s Core Tier 1 capital ratio deteriorates sufficiently, breaching a threshold of 5 per cent. This constitutes a contingent Liability.On 13 October 2008, HM Treasury acquired ordinary shares of £8.5 billion in HBOS and £4.5 billion in Lloyds TSB. It also acquired preference shares of £3 billion in HBOS and £1 billion in Lloyds TSB.On 7 March 2009 the Government announced its agreement with LBG to redeem HM Treasury’s £4 billion preference share investment. In order to fund the redemption of HM Treasury’s preference share holding, LBG conducted a placing and open offer of ordinary shares to all its existing shareholders. As a result of this, HMT received £4.2bn from the preference shares redemption and against this took up £1.7bn ordinary shares.On 8 and 11 June 2009 HM Treasury redeemed its preference shareholding and subscribed to its pro rata entitlement of ordinary shares under the open offer.In December 2009, LBG raised additional capital through a combination of a £13.5 billion rights issue, and swapping £9 billion of existing debt for contingent capital, equity or cash. HM Treasury took up its rights as a shareholder in LBG to participate in the planned capital raising, investing £5.8 billion net of an underwriting fee.

NRAM is wholly owned by HMT, and is in wind down. HMT has exposure through:Loan Balance: £22.97bn as at 31/03/2010£15.8bn Wholesale Deposit GuaranteedA committment to invest up £1.6bn in capital if required to meet regulatory threshold.

NR PLC is wholly owned by HMT. Currently UKFI, NR PLC and external advisors are reviewing options for a return to the private sector. HMT has made investment of £1.4bn in equity.HMT also guarantees £7.2bn retail and wholesale deposits (as at 31/3/2010)

Retail and Wholesale deposits transferred to Nationwide Building Society on 30/03/2009. The remainder of the business was placed into administration. HMT made a payment of £1.6bn to fund the deposit transfer. HMT has a claim in the administration process for this payment. Any shortfall could be recovered from FSCS subject to a cap to be determined by an independent valuer

Heritable, KSF and Icesave banks have entered administration. In the case of Heritable and KSF, certain retail deposits were transferred to ING, with the remainder compensated on an individual depositor basis by FSCS. These were funded by a loan from HMT to FSCS. HMT also compensated deposit balances above the then FSCS limit of £50,000. (known as HMT "Top Up" payment) For Icesave FSCS compensated individual depositors, funded by a loan from HMT. HMT also compensated retail deposits above the FSCS limit of £50,000. Of the loan to FSCS, The Icelandic authorities (DIGF) are liable for the first £16,500 of deposit balances, with FSCS responsible for balances between £16,500 and £50,000. As well as the loans to FSCS HMT has a claim in the administrations for all banks for the deposits balances above £50,000.

Retail deposits totalling £18.4bn were transferred to Abbey on 29th September 2008. This payment was made by FSCS funded by a loan from HMT. HMT also funded the transfer of deposit balances above the then FSCS limit of £35,000. The remainder of B&B was placed in public ownership and is in wind down. HMT also made a working capital facility of £11.5bn to B&B, of which £8.55bn had been drawn as at 31/12/2010. HMT also guarantees wholesale deposits of £5.3bn as at 31/12/2010. HMT has also made a committment to invest further capital if reuired to meet regulatory thresholds.Proceeds from the wind down will be used to pay down the Working Capital Facility, HMT Top Up Payment and FSCS compensation payment. The FSCS will use their receipts from the wind down to pay down the HMT Loan

The Credit Guarantee Scheme made available, to eligible institutions, a government guarantee of new debt issuance of up to three years' maturity for a fee. The Scheme closed to new issuance in February 2010, but institutions remain able to renew expiring debt provided it matures before April 2014.

In January 2009 the Government announced a package of measures, including the Asset Protection Scheme (APS) to tackle toxic assets on bank balance sheets. In November 2009 the Government announced that the conclusion of its discussions with RBS.

This is a collateral swap scheme where the Bank swaps Treasury Bills for high quality mortgage backed securities and other assets with banks and building societies. HMT provides an indeminty to the Bank for the scheme.

Formula LE is calculated by constructing life tables using the Chiang methodology based on mortality data and mid-year population estimates. DFLE is calculated using the Sullivan method, combining information from the life tables used for LE with survey data on the prevalence of limiting-longstanding illness or disability. Details of the methods used for calculating LE, DFLE, and the SII are available in:

Inequalities in disability-free life expectancy by area deprivation, England 2001-04 and 2005-08. Olugbenga Olatunde, Michael Smith, Chris White, in Health Statistics Quarterly, vol 48, pp 36-57 (ONS)http://www.statistics.gov.uk/CCI/article.asp?ID=2611

Life table templates illustrating method used by ONS to calculate life expectancy and disability-free life expectancy:http://www.statistics.gov.uk/statbase/ssdataset.asp?vlnk=6949http://www.statistics.gov.uk/downloads/theme_health/Health-Expectancies-2000-2007_submitted.xls

Health Expectancy Calculation by the Sullivan Method: A Practical Guide. Carol Jagger, Bianca Cox, Sophie Le Roy and the EHEMU team (2007)http://www.ehemu.eu/pdf/Sullivan_guide_final_jun2007.pdf

Numerator = Number of live births where gestation is ≥37 weeks and birth weight is <2500 gramsDenominator = Number of live births where gestation is ≥37 weeksCalculation = (Numerator/Denominator) x 100

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Numerator = Number of live births where birthweight is <2,500 grams & socio-economic classification of father's occupation is NS-SEC=1,2,3,4 Denominator = Number of live births where socio-economic classification of father's occupation is NS-SEC=1,2,3,4 Indicator calculation = (Numerator/Denominator) x 100

Numerator = Number of live births where birthweight is <2,500 grams & socio-economic classification of father's occupation is NS-SEC=5,6,7,8 Denominator = Number of live births where socio-economic classification of father's occupation is NS-SEC=5,6,7,8 Indicator calculation = (Numerator/Denominator) x 100

Numerator – Number of deaths (under 75 or other relevant age) from causes considered amenable healthcareDenominator – The resident population (rate given per 100,000)Indicator – (numerator/denominator)*100,000Rate to be standardised to the European Standard Population

It is proposed that a indicator be developed that measures the change in casemixadjusted average EQ-5D* score for individuals reporting that they have along-standing illness (a proxy for long-term condition), between years.

The indicator is specified as a summary score across all the eight outcome items reported through the survey: control over daily life, dignity, personal cleanliness and comfort, safety, food and nutrition, occupation, social participation and accommodation. Each response in relation to the eight outcome items identifies a different level of need, on a four-point scale from high needs to no needs. For the purposes of calculating this indicator, each level takes a different value, from zero for high-level needs to three for the ‘ideal’ state. This is based in psychometric theory, where multiple items representing a single concept are frequently summed together to produce a single score, provided the items meet the required psychometric criteria. Each response has equal weight. For each individual, the total Social Care-Related Quality of Life (SCRQoL) score is calculated by adding the scores for the specific questions. The scale constructed this way takes values from 0 to 24, where someone who scores zero has high-level needs across all domains and someone scoring 24 has no needs across all domains and has their needs met in an ideal way.The indicator is calculated as the average SCRQoL score for all individuals in that area.Worked exampleAssume that an individual responding to the questionnaire reports moderate needs in two of the seven outcome domains (‘less than adequate’ experience of the outcome), low needs in four of the domains (‘adequate’ experience) and no needs in two of the domains (‘as much as I want’).The scores across the seven domains for that individual would be 2 x 1 (moderate needs), 4 x 2 (low needs) and 2 x 4 (no needs) = a total SCRQoL score of 18.This repeated for all individuals completing the questionnaire. The indicator is calculated as average of all individuals’ SCRQoL scores in the local authority area.National average is also possible, based on reported results from all local authority areas in England.

The indicator is indirectly standardised by age and sex. The person-based rate is standardised by age and sex using England age and sex rates as standards. The gender-specific rates are standardised by age using person based standards, in order to highlight differences across gender. Indirect standardisation involves the calculation of the ratio of an organisation’s observed number of events and the number of events that would be expected if it had experienced the same event rates as those of patients in England, given the mix of age and sex of its patients. This standardised ratio is then converted into a rate by multiplying it by the overall event rate of patients in England.

The percentage change in admission rate from a previous year, plus the statistical significance of this change, have also been calculated. A positive percentage represents improvement and a negative percentage represents deterioration.

Annex 3 ‘Explanation of statistical methods’ (Methods section of the Clinical and Health Outcomes Knowledge Base www.nchod.nhs.uk ) describes the methods used for indirect standardisation, calculation of improvement, estimation of confidence intervals, and banding of significance of improvement.

The indicator is indirectly standardised by age, sex, method of admission and diagnosis / procedure. Indirect standardisation involves the calculation of the ratio of an organisation’s observed number of events and the number of events that would be expected if it had experienced the same event rates as those of patients in England, given the mix of age, sex, method of admission and diagnosis / procedure of its patients. This standardised ratio is then converted into a rate by multiplying it by the overall event rate of patients in England.

The percentage change in rates from a previous year, plus the statistical significance of this change, have also been calculated. A positive percentage represents improvement and a negative percentage represents deterioration.

Annex 3 ‘Explanation of statistical methods’ (Methods section of the Clinical and Health Outcomes Knowledge Base www.nchod.nhs.uk ) describes the methods used for indirect standardisation, calculation of improvement, estimation of confidence intervals, and banding of significance of improvement.

See 'Download paper explaining methods...' at www.dh.gov.uk/en/Publicationsandstatistics/PublishedSurvey/NationalsurveyofNHSpatients/DH_126973

Up to 2009-10 the indicator is based on a composite score of patient experience questions in the GP patient survey (GPPS) and was calculated by the CQC on GP Services only and used at PCT level. In 2011/12 the survey will use a re-designed set of questions and the scoring system will be based on the new questions.

This indicator will now be based on three separate questions in the redesigned survey asking patients about their overall experience of the three separate services. The results of these questions will not be combinded into an overall indicator as the services are both commissioned and provided in very different ways, therefore a combined indicator would not be meaningful. Therefore this indicator will actually be in three separate parts, on for GP services, one for NHS Dental services and one for Out of Hours services.

At this stage a decision has not been made on whether the data used to calculate the indicator will have any form of weighting applied to account for bias in the sample. The decision on this will be made in the next few months.

The indicator is specified as a proportion of all respondents who report their satisfaction with social care services in the highest two levels in the question below, drawn from the Adult Social Care Survey: 1. Overall, how satisfied are you with the care and support services you receive?

By ‘care and support services’ we mean any care provided by staff who are paid to help you. The staff could be from [Social Services], an agency, a care home or bought by you using money from [Social Services] through a Direct Payment. Please tick one box I am extremely satisfied I am very satisfied I am quite satisfied I am neither satisfied nor dissatisfied I am quite dissatisfied I am very dissatisfied I am extremely dissatisfied

The indicator is calculated based on a proportion where the numerator is the number of individuals who report themselves to the ‘extremely’ or ‘very’ satisfied with services, and the denominator is the total number of individuals completing the question.Worked exampleAssume that out of 1,000 individuals completing the question in a local authority area, 150 report they are ‘extremely satisfied’ with care and support services, and 400 report they are ‘very satisfied’.The indicator would be calculated as (150 + 400) / 1,000 = 55%National average is also possible, based on reported results from all local authority areas in England.

Numerator – number of reported incidents resulting in severe harm or death by provider organisationsDenominator – Provider bed daysIndicator – (numerator/denominator)*1000

Numerator – number of reported incidents by provider organisationsDenominator – Provider bed daysIndicator – (numerator/denominator)*1000

Where:X = The number of pupils who completed KS2 in a given year who achieved level 4 or above in both English and Maths tests. Y = The total number of pupils in maintained schools who completed KS2.

Where:X = The number of pupils who have achieved the Basics (as defined above) Y = The total number of pupils who completed KS4.

Where:X = The number of young people in the relevant cohort that have passed the level 3 threshold (i.e. achieved 100% of a Level three by the definitions above) by the end of the academic year in which they turn 19. Y = The size of the cohort at academic age 14, taken from the January term School Census count for the relevant year.

Where:X = The number of young people in maintained schools who did not attain at least Level 2 in English and Maths by the end of the academic year in which they turned 16 who have attained both English and Maths at Level 2 or higher by the end of the academic year in which they turn 19. Y = The number of young people in maintained schools in the relevant cohort that did not attain at least Level 2 in English and Maths by the end of the academic year in which they turned 16.

Where:X = The number of pupils who have achieved the English Baccalaureate (as defined above) Y = The total number of pupils who have completed KS4

The attainment gap is calculated as follows:

NonFSMattain = number of non FSM pupils attaining the expected level NonFSMpupils = number of non FSM pupilsFSMattain = number of FSM pupils attaining the expected level FSMpupils = number of FSM pupils


NonFSMattain = number of non-FSM pupils attaining the "Basics"NonFSMpupils = number of non-FSM pupilsFSMattain = number of FSM pupils attaining the "Basics"FSMpupils = number of FSM pupils

Where


NonFSMattain = number of non-FSM pupils achieving a level 3 qualificationNonFSMpupils = number of non-FSM pupilsFSMattain = number of pupils who were known to be eligible for Free School Meals at academic age 15 achieving a level 3 qualificationFSMpupils = number of pupils who were known to be eligible for Free School Meals at academic age 15In all cases information on known eligibility for FSM is taken from the January termly School Census count for the relevant year (includes only pupils in maintained schools).


NonLACattain = number of non-looked after children attaining the expected level / the "basics"NonLAC = number of non-looked after children

LAC attain = number of looked after children attaining the expected level / the "basics"LAC = number of looked after children

"a. Primary schools with:• Less than 60 per cent of pupils at the end of Key Stage 2 (KS2) achieving level 4 or above in English and Maths; and• Below average percentage of pupils at the end of KS2 making expected progress in English; and• Below average percentage of pupils at the end of KS2 making expected progress in Maths

The standard excludes special schools, schools with fewer than 11 pupils, closed schools, schools with missing data for one or more performance measure"

"b. Secondary schools with:• Less than 35 per cent of pupils at the end of Key Stage 4 (KS4) achieving 5 or more GCSEs A*-C (or equivalents) including English and Maths GCSE or iGCSE; and"• Below average percentage of pupils at the end of KS4 making expected progress in English; and• Below average percentage of pupils at the end of KS4 making expected progress in Maths

The standard excludes special schools, independent schools, schools with fewer than 11 pupils, closed schools, schools with missing data for one or more performance measure.

The average for progress against which schools will be assessed is likely to change each year, and as we expect the system to improve year on year, the minimum expected level of attainment is also likely to be increased.

The measure of attainment may be changed to reflect the Department’s preferred measure of attainment.

WhereX = the total number of absent sessions (authorised and unauthorised)Y = the total number of possible sessions

0

Alternative provision is defined as the provision for pupils of compulsory school age who are out of school. There are three main groups of pupils:1. Pupils who have been permanently excluded from school;2. Pupils without a school place for other reasons, for example if they are new to the area, school phobic, or victims of bullying who cannot face mainstream school3. Pupils who have a school place, but whose school has temporarily placed them in AP, for example to address behavioural problems. This may be on a full-time basis, or part-time with the rest of the time spent in school

Percentage of pupils achieving English and Mathematics skills at Level 1

This shows the proportion of pupils educated in alternative provision achieving Level 1 English and Mathematics, literacy and numeracy. To be counted in the indicator the student must have achieved Level 1 qualifications equivalent to achieving grades A* to G at GCSE or the GCSEs at grades A* to G. These include:

English - Level 1 Functional Skill English; or Level 1 Key Skill in Communication; or Level 1 Basic Skills in Literacy; And Mathematics - Level 1 Functional Skill mathematics; or Level 1 Key Skill in Application of Number; or Level 1 Basic Skill in NumeracyLevel 1 qualifications are equivalent to achieving grades A* to G at GCSE.

Percentage of pupils achieving English and Mathematics Skills at Level 2

The percentage of pupils educated in alternative provision who achieve good grades in English, Mathematics, literacy and numeracy. To be counted in the indicator pupils must have achieved Level 2 qualifications equivalent to achieving grades A* to C at GCSE or the GCSEs at grades A* to C. These include:English - Level 2 Functional Skill in English; or Level 2 Key Skill in Communication; or Level 2 Basic Skill in Literacy; And Mathematics - Level 2 Functional Skill in Mathematics; or Level 2 Key Skill in Application of Number; or Level 2 Basic Skill in NumeracyLevel 2 qualifications are equivalent to achieving grades A* to C at GCSE.

This indicator is provisional as the use of equivalent qualifications is under review.

i) A count of the number of academies and free schools opened nationally (to include all institutions with academy status – mainstream schools, special schools, technical academies (University Technical Colleges and all other potential types of technical academies), alternative provision with academy status such as Pupil Referral Units, post 16 institutions and all independent schools that have converted to academy status). It will only include studio schools if they are established as a school with academy or free school governance in their own right.

ii) There will be two versions of this:-

x/y x100

[1] where x = the number of mainstream state funded academies and mainstream free schools for pupils of compulsory school age (including mainstream technical academies and studio schools with academy or free school status) in the LA and y = the number of all mainstream state funded schools in the LA for pupils of compulsory school age.

[2] where x = indicator (i) (i.e. the total number of academies and free schools opened in the LA) and y = the total number of all state funded schools and post 16 education establishments in the LA (excluding FE colleges).

The Office of Rail Regulation (ORR) publishes a range of performance data by train operators and by operating sector (long distance, regional and London & South East). These are available for rail industry periods, quarterly, annually and as a moving annual average (an average for the most recent 13 four-week reporting periods).

PPM represents the percentage of trains which are ‘on time’ compared to the total number of trains planned. A train is defined as on time if it arrives at its destination within five minutes of the scheduled destination arrival time for London and South East and regional operators; or within ten minutes for long-distance operators.

The proportion of urban trips under 5 miles taken by (i) walking or cycling; (ii) public transport are base don (weighted) National Travel Survey diary data. The table below shows 2011 trip data by main model and region and the calculated proportions. The methodology has been revised so that all walks are included; therefore data from day 7 only of the travel diary are now used for analysis.

[TABLE OMITTED SEE PDF]

Non-frequent

Number of non-frequent services running on time (between 60 seconds early and 5 minutes, 59 seconds late) divided by Number of non-frequent services scheduled.

Frequent

Excess Waiting Time = Average Waiting Time - Scheduled Waiting Time.

The full derivation of this measure is shown below. Conceptually, it represents the excess waiting time arising from irregular gaps between services, as opposed to services arriving at consistent timetabled intervals.

[TABLE OMITTED SEE PDF DOCUMENT]

Full details on the formulae can be found here- http://www.clip.local.gov.uk/lgv/core/page.do?pageId=36703

National Calculation

National figures are calculated by weighting the Local Authority data we receive. This weighting is based on the number of services in a particular Local Authority from the National Public Transport Data Repository (NPTDR), here – table bus1001.

The number of road deaths per annum.

The measure is calculated as follows: 1. Observed ‘journey’ times are calculated for each junction to junction road link in both carriageway directions for each 15 minute period. 2. Pre determined reference times are set for each of approximately 2,500 links, each 15 minute period of the day and for each of 13 day types (e.g. first ‐working day of week). Reference times are based on historical averages specific to the link, time period and day type. 3. The observed ‘journey’ times are compared to the pre determined references. Where observed times are equal to or less than the reference times, these ‐‘journeys’ are deemed to be ‘on time’. 4. Where links are affected by roadworks, the observed ‘journey’ times are compared to alternative reference values, based on the temporary speed limit in place on that link. 5. Performance for individual links and 15 minute time periods is aggregated based on respective traffic levels (flow * link length). This ensures those with higher numbers of vehicles travelling on them and/ or longer links have a larger contribution to the overall statistics.

The following worked example shows how ‘on time’ performance is calculated for specific links/time periods and how link level performance is aggregated.

[TABLE OMITTED, SEE PDF]

The figures are the sum of all new vehicle registrations on the Driver and Vehicle Licensing Agency (DVLA) and Driver & Vehicle Agency (DVA) vehicles registers (covering GB and Northern Ireland respectively), based on the criteria found in the technical definition.

The full details and formula are provided in section D of the methodology note at http://assets.dft.gov.uk/statistics/series/accessibility/accessibility statistics‐ ‐methodology.pdf

Total reported numbers of starts and completions during the reporting period, as reported in the two data sources used. The total number of each for all housing authority areas is to be reported for each quarter - e.g. 23,000 starts and 23,190 completions between 1 October and 31 December 2010.

Numbers of new build completions plus net conversions plus net change of use plus net other gains less demolitions taking place within the reporting period - e.g. for 2009-10: 124,200 new build conversions, plus 6,230 net conversions,plus 13,600 net change of use, plus 970 net other gains less 16,330 demolitions equals 128,680.

Total reported numbers of starts and completions under the relevant programmes within the reporting period. The number of each is to be reported for each period - e.g. 13,402 starts and 19,533 completions between 1 April and 30 September 2010.

The sum of SAP energy rating scores for each new home for which an energy performance certificate has been issued in the reporting period, divided by the number of new homes for which a certificate has been issued e.g. the 81.7 average score for 1 October to 31 December 2010 is the arithmetic mean of the large number of scores calculated for new dwellings during that period.

Number of households in temporary accommodation, total for all housing authorities in England. The total number for all housing authorities is to be reported for each quarter - e.g. 48,010 as at 31 December 2010.

Number of fire-related casualties in England in the reporting period divided by latest ONS mid-year population estimate x 100,000 - e.g. for 1 July to 30 September 2010: (52 fatalities plus 2,170 non-fatal casualties) divided by population estimate of 51,809,700, multiplied by 100,000 equals 4.29.

Total amount of revenue grants (excluding schools grants) paid to local authorities (other than police authorities) that are unringfenced divided by the total amount of such grants paid multiplied by 100%. Worked provisional example for 2009-10: total amount of unringfenced revenue grants reported on RS and RG returns divided by the total amount of revenue grants reported on RS and RS returns, excluding schools grants, police grants and 'Other grants within AEF' (RG line 698), multiplied by 100%.This equals £27,710,376,000 divided by £29,722,971,000 multiplied by 100%, equals 93.2%. DCLG officials hold the information used on which grants are ring-fenced.

The number of planning applications for major or minor schemes granted within the reporting period; divided by the total number of planning applications or major or minor schemes on which a decision was made within the same period; multiplied by 100. - e.g. in twelve months to December 2010, 111,654 planning permissions granted for major and minor schemes divided by 135.450 applications decided, equals 82 per cent. [Note: figures for the financial year 2010-11 will be published at the end of June.]

Change (ppts) =100*((Private sector employment)/ (Private sector employment + Unemployment + Inactivity) at time t+1) - 100*((Private sector employment)/ (Private sector employment + Unemployment + Inactivity) at time t) The calculation will be done for London/ East/ SE and then for the rest of English regions as a wholeSee good performance comment below.

The OECD provides unrounded percentage data for each country. Based on this, BIS presents ranks based on the first decimal place, although the actual percentages are presented rounded to nearest integer (as in the OECD publications).

The ranks are derived from the set of full OECD member countries which have returned data for the qualification level under consideration at the time of publication by OECD. Some countries are unable to report against some parts of the international standard; in recent years more countries have been included in comparisons of performance at upper secondary level than are included at tertiary level.

Percentage = 100 * estimated number of people aged 25-64 with relevant education / estimated population aged 25-64

Percentage = 100 * estimated number of people aged 18-24 reporting being engaged in relevant education or training activity / estimated population aged 18-24


N/A -

FSM rate X1 / Y1 *100Non-FSM rateX2 / Y2 * 100Overall rate(X1 + X2) / (Y1 + Y2) * 100The gap(X2 / Y2 * 100) - (X1 / Y1 *100)

X1 = number of young people eligible for FSM at age 15 who are in HE at age 18 or 19.Y1 = number of young people eligible for FSM at age 15.X2 = number of young people not eligible for FSM at age 15 who are in HE at age 18 or 19.Y2 = number of young people not eligible for FSM at age 15.

Worked exampleSuppose that there are 4,000 young people in a local authority aged 15 at the start of the academic year. 82,800 are claiming free school meals and 508,400 are not. 12,600 (or 15 per cent) of those on free school meals and 169,500 (or 33 per cent) of those not on free school meals are found to have progressed to HE aged 18 or 19. THE OVERALL RATE IS 31 per centTHE GAP is 18 percentage points

No formula - survey based measure.


See Technical Definition

Indicator is produced by GEM UK team. Based on responses to a telephone household survey which asks individuals questions about entrepreneurial activity. Adult population is then used for the denominator. Data is published for UK but England only data is possible. As the survey is a sample survey, results are weighted to be representative of the population

(Exports + Imports)/GDP * 100

It is a simple sum of the net cost or benefit to business of new legislation entering at a common commencement date or over a year. The data is available in Impact Assessments and collated by the BRE in the Forward Statement.

As with indicator 9, the supplementary indicator here is a simple sum of the net cost or benefit to business of new employment legislation coming from BIS and entering at a common commencement date or over a year. The data is available in Impact Assessments.

Total consumer benefits from competition policy =Benefits from:-Competition enforcement + Merger Control +Markets workIn 2009/10, this wasCompetition Enforcement (£84m)+ Merger Control (£310m)+ Markets work (£345m)= Total consumer benefits (£739m)

Number of offences recorded by the police (see Annex A) divided by resident population (ONS mid-year estimate).

For each commodity type, the amount of commodity detected or referred multiplied by the appropriate duty rate

(i) The number of organised crime nominals and groups identified by law enforcement and included on the organised crime group mapping database. ii) (The number of organised crime groups acted against under tiers 1 - 3 of the Tiered Operating Response over the most recent 12 months / the total number of organised crime groups listed on the OCGM at the present date) *100. iii)The number of 'substantial disruptions' undertaken by law enforcemement over the past 12 months, as assessed by the relevant disruption panel applying an agreed 'Disruption Assessment Tool'.

Long Term International Migration: Based mainly on International Passenger Survey (IPS) data. Includes adjustments for those whose intended length of stay changes so their migration status changes (migrant/visitor switches), asylum seekers and their dependants not identified by the IPS and international migration to and from Northern Ireland.International migrant: someone who changes their country of usual residence for at least a year, so that the country of destination effectively becomes the country of usual residence.

(Number of sampled passengers cleared within service standard divided by total number of sampled passengers) x 100 = %

Service Standards95% of European Economic Area (EEA) passengers within 25 minutes 95% non-EEA passengers within 45 minutes

(Number of applications decided within service standards divided by total number of decisions made) x 100 = %

Service standards are specified levels of performance that we aim to meet in deciding cases. They are phrased as: We will decide X percentage of applications within X timeframe. There are different service standards for different types of application. In order to calculate the percentage of decided cases for each application type (e.g. family, employment, British Citizenship), we take the number cases where a decision has been made and the response despatched within the agreed timeframe and divide it by the total number of decisions made within that time frame. We will use the same approach to calculate an overall measure of performance against this indicator.

For cases where applicants are required to apply for a biometric immigration document the clock starts on the date that the applicant’s biometrics are captured and ends on the date that the decision response is posted to the applicant. For all cases where biometrics are not required the clock begins on the date that the application is entered onto our IT system and ends on the date that the decision response is posted to the applicant.

The indicator tracks the progress of asylum claims received in each calendar month (all the applications received in a given month form that month's "cohort"). For a month’s cohort of asylum claims (number of conclusions achieved within 1 year divided by the number of asylum applications received for the same period) x 100 = %

Worked example (all numbers are fictional):

In month X, there were 1,500 applications for asylum.

One year later, 1,200 of those applications were concluded (granted asylum or removed)

Therefore, for the month X cohort 1,200/1,500 x 100% of applications were concluded in one year = 80%

IPS Passport Application Support System (PASS) automatically logs receipt of the application and the passport production date. The Management Information team monitor throughput by calculating the number of working days taken to produce passports.

The indicator will measure the number of organisations (in the private and voluntary sectors) who voluntary decide to publish information on gender equality in their organisations. The indicator includes the number of organisations who report on the gender diversity of their workforce and the number who report on their gender pay gap.

The percentage re-offending is the number of offenders in the cohort re-offending at least once during the one-year follow up period, where the offence resulted in a conviction at court, caution, reprimand or warning as a percentage of the total number of offenders in the cohort.

The percentage re-offending is the number of offenders in the cohort re-offending at least once during the one-year follow up period, where the offence resulted in a conviction at court, caution, reprimand or warning as a percentage of the total number of offenders in the cohort.

This is calculated by counting all 10-17 year olds who have a record on the Police National Computer for a reprimand, warning or conviction and have no previous reprimands, warnings or convictions at that time. Then dividing this number by the mid year population estimates for 10-17 year olds, and multiplying this by 100000 to give a rate per 100000 of population.

Counting rules still being defined

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For each of the court types, the indicator is calculated by considering all those relevant cases reaching the conclusion point during a given time period, and calculating the average start-to-conclusion time, based on the start and conclusion points described in the "Technical definition" row above. Example: A civil claim is issued in a county court on 1st April, small claims hearing in the case takes place on 1st July; so length of time is 13 weeks; then calculate the times similarly for all cases with a hearing/trial occuring during a given time period, and take the average.

The number of civil (non-family) claims dealt with in the county courts which reach 2 key stages of the courts process during a particular time period: in chronological order these are (i) the number of proceedings started, (ii) the number of cases where a small claims hearing or fast/multi track trial took place. The calculation: 1 - [(ii)/(i)] gives a proxy estimate for the proportions of cases lodged with the court initially which are subsequently resolved without requiring a full hearing/trial (some may be resolved by the court through default judgements rather than being resolved outside of court). Example: in a quarter, 450,000 civil (non-family) cases begin proceedings, while 15,000 hearings/trials take place; proxy estimate for proportion of cases lodged with court without requiring hearing/trial is 1-[15,000/450,000] = 0.97 or (97%).

Total number of personnel deployed.

Total numbers of Attaches and Advisors deployed and number of locations covered.

Number of Service and MOD Civilian Personnel deployed on all operations in a year- Weekly total for year, divided by 52 to provide average for the year.

Medically Fully Deployable (MFD) + Medically Limited Deployable (MLD) divided by Total Service Personnel.

Percentage change in top three OPPs for each Service.

From External Polling Survey.

Number of Force Elements against total number showing weakness. Worked Example: Defence attributes 27 Force Elements against Strategy for Defence priorities. Out of these, 8 are reporting critical or seriouis weakness which represents 29.6%.

Net Slippage across all Category A-C Equipment projects (in months). DE&S KPIs Worked Example: Total net slippage of 13 months, reported in-year against 43 projects. This equates to average in-year slippage of 0.33 months per project.

The Armed Forces Continuous Attitude Survey (AFCAS) is a tri-Service attitude Survey distributed annually to Service Personnel. It captures data related to Terms and Conditions of Service to facilitate personnel policy decision-making.

This is calculated from the WEO. The WEO tracks current low carbon investment using Bloomberg New Energy Finance data. They also project the required investment. The difference between the two is the indicator we are tracking.

The aggregate indicators combine the views of a large number of enterprise, citizen and expert survey respondents in industrial and developing countries. The individual data sources underlying the aggregate indicators are drawn from a diverse variety of survey institutes, think tanks, non-governmental organizations, and international organizations.

Each dimension (Voice and Accountability, political stability, government effectiveness, regulatory quality, rule of law, control of corruption) is aggregated based on percentile ranks, provided by a range of individual indicators. Please refer to the World Bank website for a full overview of the methodology and the range of sources upon which each aggregate indicator is based.

Measurement will be taken from the Conflict Prevention Performance Index (CPPI) being undertaken by the University of Bradford and Saferworld (UK NGO). The CPPI will assess States’ performance in supporting conflict prevention including building capacity in fragile states. University of Bradford/Saferworld will hold consultations with government officials and review documentation relating to the UK government's conflict prevention policies, programmes and activities. FCO performance will be drawn from the UK results and will be measured using a numerical scoring system of 0-5.

There is a mandatory question in the separate Assistance, Services and Detainees surveys which asks, 'Overall, what did you think about the service provided by our staff?' The response options are Very Good, Good, Satisfactory and Unsatisfactory (Please comment). The % of staff per Post, who responded Very Good, Good and Satisfactory, within the 3 surveys is compiled to produce a % Customer Satisfied per Post. The average % satisfaction is then calculated across Posts.We will collate and report statistics publically on a quarterly basis.

Divide DFID spend on education in a country (numerator) by total Govt. expenditure on education (denominator) to get the proportion of DFID spend on education in country (converted to same currency); multiply this by number of children enrolling primary school.The years selected for enrolment and expenditure data should be matched as well as possible where academic and financial years differ (there is no need to pro-rate across years) and should be the latest in which both series are available.DFID’s expenditure should include all sector budget support in education and the share of general budget support according to the proportion of public spend going to education. Other DFID financial aid given to governments should be included similarly in the numerator.Other development partners’ general and education-specific expenditure should be included in the Governments’ expenditure denominator wherever possible, even if off-budget.

The UK supports the distribution of ITNs through a variety of bilateral channels, including direct project support and through pooled, sector and general budget support, and through UK multilateral support to UNITAID, UNICEF, GFATM and World Bank. Three stages will be used to collect and verify data. 1. Data will be collected on insecticide bednets distributed through our bilateral country support. Routine distribution, through for example antenatal care and social marketing, is monitored through National Health Information Management Systems. The UK share will be pro-rated based on the % UK contribution to health sector/general budget support. In some countries the UK will support the purchase and distribution of ITNs through direct project spend. Data will be collected through project and campaign reports by a) the MoH and % share attributed to UK funding or b) by DFID supported NGOs. This will be done by country offices using MoH and DFID funded programme reports.2. Data on the distribution of ITNs through Multilateral is collated by GFATM, UNICEF, UNITAID and World Bank. They monitor and report on this internationally recognised indicator and provide a breakdown of ITNs procured and distributed. % share of bednets attributed to UK funding will be calculated centrally by DFID. 3. The UN Special Envoy for Malaria Office collect data on bednets from source (the manufacturers) to the distribution point and are able to cross reference by donor and by country. They have agreed to review and verify our data, and are able to justify our data to remove the risk of double counting.

DFID provides n% of the cost of a national programme that has constructed m latrines. Subsequent surveys show only p% are in use but that each serves a household of average size 6. Indicator equals m x n x p x 6 . For the purposes of the international definition shared facilites are not included as "improved" and are therefore to be excluded from this calculation. In some cases data will only be available on the number of facilities. This will need to be converted to numbers of persons by multiplying the number of facilities by the average household size.

For each multilateral the share of the water and sanitation sector results attributable to DFID will be imputed according to the proportion of the total agency budget provided by DFID. A similar approach is to be adopted where budget or sector support is being provided.

n/a

A widely accepted formula of financial access is one where the entire adult population is broken in to three groups: (A) those who have access to and use financial services; (B) those who have access but do not use it and; (C) those who do not have access. Financial access is defined as A+B.

In calculating the number of people reached with financial services, focus would be on number of credit accounts or number of savings accounts or insurance etc held by individuals. Adding up the numbers across all services will be erroneous as the same person may be holding a deposit account, insurance and credit account. It is possible for a person to hold more than one deposit or credit account. Therefore, data would be disaggregated by product type and would be collected in terms of individuals firms holding the accounts. Access beyond any one particular financial service is a good indicator of the depth of the financial markets.

Counts (reported levels from 2008 survey + delivery reported since 2008)

i) DFID attribution rateAttribution of results to DFID will be country specific, and should be informed by the primary aid modality used by the programme spend. For maternal and newborn health-specific programmes which would otherwise not have been implemented without DFID support, results can be fully attributed to DFID. The logframes of maternal and newborn health-specific programmes should include indicators and annual reviews should monitor progress. Total DFID spend on MNH will be the direct programme spend. In countries where DFID is investing in maternal and newborn health (MNH) indirectly through financial aid/pooled funds etc, total DFID MNH spend (including direct MNH spend and indirect spend through DFID spend on health systems strengthening) will be calculated. The share of health system spend that is defined as indirect DFID MNH spend is assumed to be 25% - in line with the G8 Muskoka methodology. Total DFID spend on MNH (numerator) by total government health spend (denominator) to get the pro-rata DFID spend on MNH - the attribution rate of MNH results for DFID; multiply this by total number of births assisted by SBA. ii) Total number of births attended by skilled birth attendant (SBA). SBA definition (WHO): ‘An accredited health professional – such as a midwife, doctor or nurse – who has been educated and trained to proficiency in the skills needed to manage normal (uncomplicated) pregnancies, childbirth and the immediate postnatal period, and in the identification, management and referral of complications in women and newborns’.Number of births attended by skilled birth attendants will be obtained by multiplying the percent of birth attended by SBA with number of live births. Percentage of SBA attended birth will be obtained as appropriate from country-level data and where possible by RHR/WHO on annual basis. The number of live births can be obtained by UN Population Division World Population Prospects Database.

For bilateral investments, these calculations will be done at country level. For programmes that DFID alone supports (and that would not have happened otherwise, eg Bangladesh Chars programme), there is 100% attribution. Where DFID funding is blended with others, we will calculate DFID attribution according to the proportion of the overall direct support components DFID is supporting (not the propotion of overall spend of the programme, where it contains significant upstream policy/analysis/capacity work). For multilateral programmes, we will calculate DFID attribution rate using the same proportion methodology, but aggregated across countries.

Greenhouse gas emissions are measured by the UK greenhouse gas inventory, based on a range of different sectoral approaches

The indicator is calculated as = 1- annual fossil fuel dependency % as published in DECC's Energy Trends table 1.3a.

Fuel poverty ratio = ( modelled energy bill ) / income. Any household for which the Fuel poverty ratio exceeds 0.1 is defined as fuel poor. So a household that is required to spend £1,000 on fuel and has an income of £18,000 will be defined as NOT fuel poor

The data required for the calculation are set out in table 7.7 of the Digest of UK Energy Statistics, available at: http://www.decc.gov.uk/media/viewfile.ashx?filepath=statistics/source/renewables/dukes7_7.xls&filetype=4&minwidth=true. For 2009 the 3.0% value for this indicator is calculated by dividing the total final consumption of renewable energy (4,018 thousand tonnes of oil equivalent) by the capped cross final energy consumption figure (135,690 thousand tonnes of oil equivalent).

Electricity: (UK Transmission entry capacity - simultaneous maximum load met)/ simultaneous maximum load met*100. Gas: (GB peak forecast supply - GB actual maximum daily demand)/GB actual maximum daily demand *100

Projected emissions (currently 50Gt in high ambition strict accounting rules scenario) - 2020 emissions consistent with a trajectory to 2 degrees C (currently 44Gt)

The indicator shows the total value of work completed in the year to reduce the Nuclear Provision. We will also publish the impact of any change in the Nuclear Provision as a result of financing costs (unwind of discount and effect of inflation) and any change in scope.

(a) Total area of agricultural land within HLS agreements. (b) Total utilisable agricultural area of all farms in England for the base year (2010) Indicator = (a)/(b)

Soil nitrogen balance calculates the net surplus of nitrogen in agricultural soils based on total inputs minus total removals.Two main changes have come into effect, which will improve the data in the October 11 QDS relative to previous editions of the QDS.Results for 2009 only have been adjusted retrospectively to ensure comparability with 2010. These take account of register improvements following the full Agricultural Census in 2010 and the introduction of a survey threshold in line with requirements for the EU Farm Structure Surveys, below which farms are no longer surveyed.

Farmland bird index is made up from (a) generalist species and (b) farm specialist species. There are 7 species in the Generalist index and 12 species in the Specialists. The index provides a robust method of aggregating the numbers of each of the 19 species to give a single overall figure. The indices portray the annual changes in abundance. Within the indices, each species is given equal weighting, and the overall index is the geometric mean of the species indices. Individual species populations within the index may be increasing or decreasing, irrespective of the overall trends. Species indices are derived by modelling count data and estimates are revised when new data or improved methodologies are developed and applied retrospectively to earlier years. A smoothed index is also calculated, which enables short-term assessments of change over five year period.

Total factor productivity (TFP) index = (volume index of final output at market prices)*100/(volume index of all inputs). When aggregating indices, the particular formula used is the Fisher one; the geometric mean of the Laspeyres and Paasche indices. For the Laspeyres index a „volume relative‟ is calculated for each output component as: (volume in year n)/(volume in year n-1). The total output index is then calculated by taking a simple weighted average of all the volume relatives, where the weights are the values of the components in the year n-1. For the Paasche index a „volume relative‟ is calculated for each output component as: (volume in year n-1)/(volume in year n).The total output index is then calculated as the reciprocal of a simple weighted average of all the volume relatives, where the weights are the values of the components in the year n. The Fisher index is calculated as the square root of the product of the Laspeyres and Paasche indices. The above method is repeated for the inputs and Total Factor Productivity calculated as: (index of final output at market prices)*100/(index of all inputs).

HH recycling rate (%) = total HH waste recycled / total HH waste generated

The percentage of OTF herds is calculated as: 100 - ((the number of non-OTF herds / the number of herds in England) * 100)

Indicator: Per cent net improvement = (improvements - deteriorations)/(improvements + deteriorations + unchanged) Variables: Improvements = (magnitude of improvement in assessment A) + (magnitude of improvement in assessment B) .... for all assessments. Deteriorations = (magnitude of deterioration in assessment A) + (magnitude of deterioration in assessment B) .... for all assessments. Unchanged = Sum of unchanged assessments(Magnitude of improvement or deterioration refers to the number of status classes the measurement improved or deteriorated by, for example an improvement from poor (class 2) to good (class 4) is an improvement of 2 status classes).

Number of households where the risk of damage from flooding and coastal erosion has been markedly reduced = (OM2 Households built before January 2009 moved from one category of flood risk to a lower category in comparison with the do nothing case) + (OM 4 (Households at very significant risk built or converted before January 2009 provided with appropriate property-level measures such as resistance and resilience ).

None - percentage directly from survey output.

E.g. 24.5 per cent of children participated in competitive sport at least once in the last 12 months

None - totals directly from statutory accounts.

E.g. For ACE' RFOs contributed income, which includes sponsorship, trusts and donations,made up 9 per cent of the portfolio’s total income (£104m).

TSA tourism industry ratios are applied to employment totals calculated for those industries to give a measure of direct tourism employment

A series of different calculations, presented as a scorecard.

Indicator results calculated as follows:"x% of customers left benefit by y weeks. z% of these customers moved directly into known employment"

For each monthly cohort of on-flows, the x% is calculated as following:number of benefit claims that ended after y weeks ÷ number of on-flows

For each monthly cohort of on-flows, the z% is calculated as following:number of ended claims that moved directly into known employment after y weeks ÷ number of ended claims after y weeks Worked ExampleJanuary 2010 on-flows = 100. By the end of December 2010, 90 of the 100 have signed off benefit, 27 of which were known to have been to work.

Therefore "90% of customers left benefit by 52 weeks. Of these, 30% of these customers moved directly into known employment"

Where:90 ÷ 100 = 90% and 27 ÷ 90 = 30%

Jobseekers Allowance (JSA) (claimant count) - The table includes both UK figures (seasonally adjusted) and GB figures (not seasonally adjusted) published by ONS. Employment Support Allowance (ESA), Incapacity Benefit, Lone Parents on Income Support (IS), Others ( IS others and Pension Credit) are GB figures, not seasonally adjusted It should be remembered when using this data that the coverage of the Jobseeker’s Allowance UK seasonally adjusted figure is slightly different to that for the other key out-of-work benefits. Whereas figures for Jobseekers allowance UK cover the entirety of the United Kingdom, the coverage of all other figures is all cases in Great Britain and overseas. These statistics exclude cases in Northern Ireland. Please see the Northern Ireland Department for Social Development website for information about benefits in Northern Ireland. The key out-of-work benefits shown in this table are chosen to best represent a count of all those benefit recipients who cannot be in full-time employment as part of their condition of entitlement. Those claiming solely Bereavement Benefits or Disability Living Allowance (DLA) are not included as these are not out-of-work or income based benefits. DLA is paid to those needing help with personal care. These people can, and some will, be in full-time employment. If DLA claimants are also in receipt of JSA, IS or ESA/incapacity benefits in addition to DLA they will be counted under the relevant statistical group. In addition, we exclude those claiming solely carer’s benefits or claiming carer’s benefits alongside Income Support, as the Department does not pursue active labour market policies for this group. Carer’s benefits are paid to those with full time caring responsibilities.

Worked Example:Jobseeker's Allowance (claimant count) (UK Seasonally adjusted) = 1,480.90Jobseeker's Allowance (claimant count) (GB not seasonally adjusted) = 1,447.04 Employment & Support Allowance and incapacity benefits = 2,613.10 Lone Parents on Income Support (IS) = 679.15 Other (IS others and Pension Credit) = 192.19

Number of children living in workless households / number of children living in all households = proportion of children living in workless households

Worked Example:Using latest Quarter 2 2010 data:1,857,000 / 11,532,000 = 16.1%

The indicator is the number of 18-24 who are not in either full time education or employment divided by the total number of 18-24 year olds.

Overall employment rate:(number of people in employment between 16 and 64 / number of people between 16 and 64) MINUS…..Employment rate for DDA disabled people:(number of DDA disabled people in employment between 16 and 64 / number of DDA people between 16 and 64)

Worked Example:Overall employment rate:27.686 million / 38.886 million = 71.2%

Employment rate for DDA disabled:3.242 million / 7.026 million = 46.1%

Gap between the employment rates for disabled people and the overall population:71.2% - 46.1% = 25.1 percentage points

We will produce a Before Housing Costs equivalised income for all individuals, calculate the median and then look at how many people in families containing someone who is disabled fall below a threshold of 60 per cent of the median.

Worked Example:The median income Before Housing Costs in 2008/09 was £407 per week for a couple with no children and £273 per week for a single person with no children. Thus the 60 percent of median income threshold was £244 for a couple with no children and £164 for a single person with no children. A member of a couple with no children that contains someone who is disabled with a household income of £200 would therefore be in poverty, whereas a single disabled person with no children with an income of £175 would not

The indictor is calculated from sample data, adjustments are made and data is grossed up to the benefit population. The methodology is audited by the NAO every year.

Worked Example:The latest data is:The preliminary estimate of total overpayments due to fraud and error across all benefits is £3.1bn, which is 2.1% of 2009/10 total benefit expenditure, which is forecast to be £148bn in 2009/10. The preliminary estimate for underpayments is that £1.3bn or 0.9% of total benefit expenditure was underpaid.

Produce an After Housing Costs equivalised income for all individuals, calculate the median and then look at how many pensioners fall below a threshold of 60 per cent of the median.

Worked Example:The median income After Housing Costs in 2008/09 was £343 per week for a couple with no children and £199 per week for a single person with no children. Thus the 60 per cent of median income threshold was £206 for a couple person with no children and £119 for a single person with no children. A pensioner couple with no children with an income of £200 would therefore be in poverty, whereas a single pensioner with no children with an income of £150 would not.

Using the Annual Survey of Hours and Earnings (ASHE); all employee jobs (including those affected by absence) with an employer sponsored pension (Defined Benefit, Defined Contribution, Group Personal Pension, Stakeholder Pension and unknown pension type) and age=>22 and age<SPA (currently 65 for men and 60 for women) and annual gross earnings>earnings threshold (£7,475 in 2011/12 earnings terms).

Worked Example:2009 ASHE12.6m employees with a pension, of which11.5m are aged at least 22 and under SPA and earn above the earnings threshold £7,475 per annum in 2011/12 earnings terms (£7,196 in 2009 terms)

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The method used for calculating the average age of withdrawal from the labour force is referred to as ‘the static variant’ method. It calculates the conditional probability of an age group remaining economically active in the next period. For example, the conditional probability of a person of age 51 remaining active by the time they reach the age 52, is taken to be the activity rate of a 52 year old divided by the activity rate of a 51 year old. The cumulative probability of remaining active is then calculated for all ages between 50 and 76, from which the proportion of all labour market withdrawals is established for each age. These proportions are then weighted by their respective age values and then summed to provide estimates of the average age of withdrawal from the labour force.

The indicator is based on a combination of the satisfaction scores from the PDCS and JCP customer satisfaction surveys. This will involve using a standard set of questions and measurement scale across the two surveys to assess overall customer satisfaction and satisfaction against each of the Key Drivers. The scores from both surveys are combined to give a single Departmental measure of overall customer satisfaction with DWP services. When combining the data the organisations scores will be weighted to the propotion of contacting custmers

Worked Example:PDCS satisfaction = 90%JCP sattisfaction = 70%If the ratio of contacting customers between JCP and PDCS was a perfect match 1:1 then the combined measure would be 80% satisfactionIf there are twice as many JCP contacting cusotmers as PDCS, a ratio of 2:1, then the combined measure would be 77% satisfactionIf there were half as many JCP contacting customers as PDCS, a ratio of 1:2, then the combined measure would be 83% satisfaction

GDP per capita is a better measure of well-being than GDP alone, as it reflects economic output per person.

Provides a measure of fiscal sustainability, removing the element of cyclicality and the effect of automatic stabilisers, to leave the underlying structural deficit. This measure of the deficit illustrates the Government’s fiscal policy stance.This measure is consistent with one of the Treasury’s key objectives, to reduce the structural deficit in a fair and responsible way.The Government’s fiscal mandate, designed to guide fiscal policy decisions over the medium term, is based on this cyclically-adjusted aggregate.The Government’s forward-looking fiscal mandate is to achieve cyclically-adjusted current balance by the end of the rolling, five year forecast, which at the June 2010 Budget was 2015-16. The new independent Office for Budget Responsibility assessed at the June Budget, and more recently in their November economic and fiscal outlook, whether the policies set out by the Government are consistent with a greater than 50 per cent chance of achieving the fiscal mandate.

Public sector net debt is a stock measure of the total indebtedness of a country and shows the sustainability of public finances. The Government’s target for debt, which supplements the fiscal mandate, is based on this measure of public sector net debt. The target requires public sector net debt as a percentage of GDP to be falling at a fixed date of 2015-16. The new independent Office for Budget Responsibility assessed at the June Budget, and more recently in their November economic and fiscal outlook, whether the policies set out by the Government are consistent with a greater than 50 per cent chance of achieving the target for debt.

One of the Treasury's core functions is the control of public expenditure. Departmental Expenditure Limits (DELs) are the firm budgets within which Departments must manage their expenditure. Therefore, it is the Treasury's objective to ensure that overall DEL in outturn in any given year – including the DEL Reserve set aside for contingency – comes in at or below the level of Total DEL plans.

LFS employment rates are used as an indicator of whether the "economy is more resilient and balanced (...) between different regions."

Growth Review announced benchmark of "the lowest corporate tax rate in the G7 and among the lowest in the G20". Supports ambition to create the most competitive tax system in the G20.

Growth Review announced benchmark of "the best location for corporate headquarters in Europe". Supports ambition "to create the most competitive tax system" in the G20. This is a close proxy with high quality data.

Growth review announced benchmark of "more finance for start-ups and business expansion". This measure is consistent with measurement of progress against the Project Merlin commitment.

Measurement of exposure to financial institutions

0

Measurement of exposure to financial institution




0

An explanation of the calculations is available here - http://www.hmrc.gov.uk/transparency/hmrc-measure-temp.pdf

An explanation of the calculations is available here - http://www.hmrc.gov.uk/stats/measuring-tax-gaps.htm.

Post cleared within 15 days / total post cleared.

Post cleared within 40 days / total post cleared.

We calculate Cash Collected from interventions using HMRC operational and intelligence data. For certain type of interventions (see below), the entirety of the cash will be collected. For the remaining interventions we will estimate the amount of debt (as a result of a compliance intervention) that is collected after debt management activities. In its simplest form Cash Collected = Collectible cash * Rates of collectionWhere we have a 100% collection rate for:• Payments on account• Security deposits• Cash Seizures• Voluntary payments• All other Payments made prior to debt management activitiesAll other “Rates of collection” are split by individual types of tax and are obtained by using information available from either internal reports or data systems.

Revenue Protection uses HMRC operational, intelligence data and estimates fromevaluation reports or directly from impact assessment exercises and models.Examples of which include the following:• Future Revenue Benefit, Repayments stopped, Revenue loss Prevention, Criminal activities and EU mandatory work will be reported on HMRC Data systems• Legislative and process changes - Based on the actual value of fully evaluated changes plus a discounted value for changes not yet evaluated. The discounted value being informed directly from the business area involved.• Targeted education and Deterrence – Based on data from internal HMRC models• Improvements to how we work – Based on the findings of internal research

A stratified random sample of finalised tax credits awards are reviewed by compliance officers. Compliance officers record the monetary value of error and fraud, and the reason for the error. The results from the sample are grossed up to be representative of the tax credit population, with the levels of error and fraud expressed in monetary terms, and as a percentage of entitlement as recorded on the tax credits administrative system.Please see the publication for more details, particularly the methodology in annex A.http://www.hmrc.gov.uk/stats/personal-tax-credits/cwtcredits-error1011.pdf

Post cleared within 15 working days that meets HMRC quality standards / All post cleared within 15 days.

Post cleared within 40 working days that meets HMRC quality standards / All post cleared within 40 days.

Call attempts handled / Total call attempts

Total of SA, PAYE, VAT, CT and Stamps online transactions / Total of SA, PAYE, VAT, CT and Stamps transactions

Change in burden = Number of Transactions * (Current cost per transaction – Future cost per transaction )

Scores are calculated for four customer groups (Personal Tax customers, Benefits and Credits customers, Small and Medium Enterprises (SME) and Agents) by taking an average of positive responses to three survey questions. Two of these questions are common to all four customer groups: 'How easy was it to complete the processes?' and 'How easy was it to get in touch?'. The third question is 'How easy was it to understand what you had to do?' for Personal Tax, Benefits and Credits and SME customers or 'How good were HMRC at getting things right?' for Agents only. The overall measure takes an average of scores for these four customer groups to produce an HMRC score. The HMRC Customer Survey 2011-15 is run quarterly. The score is a rolling annual measure. The HMRC Customer Survey 2011-15 started in Q2 2011/12 and replaced the HMRC Customer Survey 2007-11. A number of changes were made to the methodology between the surveys, particularly around sample coverage. The impact on results of these changes has been modelled and the data from the 2007-11 survey has been back-calculated to make the results consistent across the surveys. Measures before Q112/13 included back-calculated results based on the 2007-11 survey in order to produce a rolling annual measure. Further details on the back-calculation methodology and more technical information about the survey and the calculation of the measure is available in a paper published on the HMRC website (http://www.hmrc.gov.uk/research/cust-exp-2010.pdf).

Start date Latest data Good performance (optional)

2007 0

Data for 2001-04 and 2005-08 were published by the Office for National Statistics (ONS) in November 2010

Latest data published by ONS are for 2005-08: http://www.statistics.gov.uk/CCI/article.asp?ID=2611

SII in LE at birth, England: Males - 9.7 years (compared with 9.4 years in 2001-04)Females - 6.7 years (compared with 6.3 years in 2001-04)

SII in DFLE at birth, England: Males - 16.2 years (compared with 16.5 years in 2001-04)Females - 14.6 years (compared with 13.7 years in 2001-04)

A decrease in the SII represents a reduction in inequality

Confidence intervals for the SII in LE at birth and DFLE at birth should be available when ONS publish next data update, and can be used to assess the minimum movement required for a statistically significant change in the SII. Figures for overlapping four-year periods can give an indication of change, but for a robust assessment of change over time, comparison of data for non-overlapping four-year periods is required.

2007-08 data for England and Wales [http://www.statistics.gov.uk/downloads/theme_health/gestation-spec-infant-mort-tables-07-08.xls#Table3!A1]

2009 0

2009 0

- - -

N/A This should increase over time

Data for 1999-2009 are available from the Office for National Statistics (ONS) website

Data for 1999-2009 are available from the Office for National Statistics (ONS) website

April 2011. Some data based on one existing definition are currently published annually on the National Centre for Health Outcomes Development (NCHOD) website (final version of definition with appropriate causes to be determined by Office for National Statistics (ONS) by Autumn 2011).

Data using the NCHOD definition for 2009 were published in March 2011

The indicator value should reduce over time to demonstrate progress. On several existing definitions performance is improving by 4-5% per year currently.

2012 - details under development

This should decrease over time.

This should decrease over time

Sept 2011 (in relation to 2010/11 year)

First data will be published in Sept 2011, then annually from August 2012

Care should be taken in using this indicator to make judgments about the performance of a local council. Analysis of performance should take into account a number of factors and evidence, and not be based on a single measure in isolation. This measure does not identify social services contribution to the achievement of the outcomes identified. Development work is being undertaken to establish whether it is feasible to calculate a value added measure which would do this.The data used for this measure are survey-based so there will be confidence intervals surrounding estimates. This may mean that when there have been small changes in the level of the indicator over time these will not be detected as being statistically significantly. This will also affect the extent to which measures can be compared between councils. Guidance for the survey sets a minimum level of accuracy that councils should achieve (+/-5% CI).

Exists - updated version to be ready in September 2011

Latest data published under the current definition are for 2008/09 http://www.hesonline.nhs.uk/Ease/servlet/ContentServer?siteID=1937

Exists - updated version to be ready in September 2011

Latest data published under the current definition are for 2008/09 http://www.hesonline.nhs.uk/Ease/servlet/ContentServer?siteID=1937

June 2012.

Already available The indicator should increase over time

N/A – The 2010/11 survey published in June 2011 is based on the old survey and differs from the questions to be used in 2011/12. The CQC patient experience indicator was last published in 2009/10 and was not calculated for 2010/11.

% patients rating their experience of services as Very Good or Fairly Good on each element of service.

Latest data covering 2010 was published on 26 May 2011 at www.dh.gov.uk/en/Publicationsandstatistics/Publications/PublicationsStatistics/DH_126772

September 2011 (in relation to 2010/11 year)

First data will be published in September 2011.

Care should be taken in using this indicator to make judgments about the performance of a local council. Analysis of performance should take into account a number of factors and evidence, and not be based on a single measure in isolation.The data used for this measure are survey-based so there will be confidence intervals surrounding estimates. This may mean that when there have been small changes in the level of the indicator over time these will not be detected as being statistically significantly. This will also affect the extent to which measures can be compared between councils. Guidance for the survey sets a minimum level of accuracy that councils should achieve (+/-5% CI).

Source data available but indicator under development

The raw data are available but the indicator has not yet been published in its final form

Requires further investigation - ideally decreasing numbers of incidents to reflect improved quality of patient safety over time.

2009/10 academic year.

12th January 2011

Source data available but indicator under development

The raw data are available but the indicator has not yet been published in its final form

Requires further investigation – increasing in the first instance to reflect better reporting but eventually levelling off and even decreasing.

Published in December following the academic year

An increase in this figure signifies an improvement in performance.

2009/10 academic year. These figures used a provisional definition.

An increase in the percentage signifies an improvement in performance.

The data are already published.

Data for the cohort who were aged 19 in 2009/10 were published in March 2011.

An increase in the percentage of 19 year olds at Level 3 indicates an improvement in performance.

12th January 2011 2009/10 academic year.

Data are available, but not published at present. If published alongside the overall measures of attainment at 19, data would be published in March 2012.

Data relating to the cohort who were 19 in 2009/10

An increase in the progression rate would indicate improving performance.

An increase in the percentage will mean more pupils achieving a good pass at GCSE in the a core selection of academic subjects included in the English Baccalaureate.

December 2011

December 2011

The percentage of FSM pupils achieving the expected level was published at national and LA level for 2009/10 at:

http://www.education.gov.uk/rsgateway/DB/SFR/s000972/index.shtml.

However, this indicator has never been published in this format.

A decrease in the attainment gap will demonstrate improved performance. This must be coupled with increases in attainment by the non FSM and FSM groups separately.

The attainment of FSM pupils was last published at national and LA level for 2009/10 at:

http://www.education.gov.uk/rsgateway/DB/SFR/s000977/index.shtml.

However, this indicator has never been published in this format.

A decrease in the attainment gaps will demonstrate improved performance. This must be coupled with increases in attainment by the non FSM and FSM groups separately.

-

December 2011 2009/10 academic year

The data are already published.

Data for the cohort who were aged 19 in 2009/10 were published in March 2011.

A decrease in the attainment gaps together with an increase in the attainment for looked after children will demonstrate improved performance.

The data is already published

Data relating to participation at the end of 2010, published here: http://www.education.gov.uk/rsgateway/DB/SFR/s001011/index.shtml

An increase in the percentage participating will demonstrate improved performance

The data required to calculate the floor standard are contained in:a) Primary school Performance Tables, published in December each year. b) Secondary school Performance Tables, published in January each year.

From the 2010 Performance Tables:a) 962 primary schools were below the floor standard. b) 216 secondary schools were below the floor standard.

A reduction in the numbers of schools below the floor standards demonstrates an improvement in performance.

Data are available from academic year 2006/07 in a series of Pupil Absence SFRs.

Data for academic year 2009/10 were published in March 2011.

A decrease in the Overall Absence figure would signify an improvement in performance.

40695

-

0 0 0

Data for academic year 2009/10 published in June 2011.

An increase in the percentage signifies improved performance.

Publish at end of July 2011 data for the quarter April to June 2011

Some data previously published relating to particular types of Academy (e.g. Outstanding schools converting). These data have been published on an ad-hoc basis.

40664

Financial year 2004-05 [not provided]

Data are available every 4 weeks, publishing 4 to 6 weeks after the rail period ends.

PPM fluctuates widely period-by-period for many reasons, many of which are not within the control of the train operators. For example poor PPM performance can also be caused by other train operators or Network Rail. However, adding this breakdown would make the data and its interpretation considerably more complex. More information is available from the Office of Rail Regulation and on Network Rail and individual operators’ websites.

Data is available from 202 at around the current sample size. Data is available for earlier years but the proporitons would be based on 3 years of survey data combined because of the smaller sample size.

2011 National Travel Survey

The public should be looking for the proportions to increase todemonstrate whether improvement have been achieved.

As the main mode of transport proportions for the populationm, referred to as the standard error. Estimates based on a smaller sample size are subject ot a larger standard error.

An improved performance will see the on-time figures for non-frequent services increase and the Excess Waiting Time for frequent services decrease.

July-September 2012

01/05/2011

Note

The publication of data for this impact indicator was delayed while further quality checks were carried out on the raw datasets underpinning the measure. Publication will commence in November 2011, showing monthly performance from April 2010 to September 2011 and rolling year ‐performance for the years ending March 2011 to September 2011.

This is a new measure so none currently available

Changes in performance will be reflected through changes in ‘on time’ levels.

Publication from May 2011. Annual figures are available on the current definition from 1954.

1,901 deaths in 2011 calendar year. Figures for 2011 will be published end June 2012.

Performance will have been judged to improved or deteriorated if the total number of fatalities decreases or increases for three consecutive years.

Data for 2010 were published in May 2011.

The number of new ultra low emission vehicle registrations should increase as performance against this indicator improves. However, comparisons should only be made between corresponding quarters in each year, or between whole years, as the underlying pattern of new vehicle registrations varies greatly through the year.

2011

1 April to 30 June 2011 -

2009-10: 128,680 -

-


Data are available for the period from 2007, though 2010 is the base year. Comparisons between pre 2010 data should ‐be carried out with caution as the data are not directly comparable.

The index should increase to demonstrate an improvement has been achieved.

1 October to 31 December 2010: 23,000 starts and 23,190 completions (seasonally adjusted)

1 April 2011 to 31 March 2012 (i.e. 2011-12)

1 April to 30 September 2011

1 April to 30 September 2010: 13,402 starts and 19,533 completions

1 October to 31 December 2010: 81.7



-

-

Quarter 4 2010

At 31 December 2010: 48,010

1 July to 30 September 2010: 4.29

1 April 2011 to 31 March 2012 (i.e. 2011-12)

2009-10: provisional figure is 93.2%

1 April 2011 to 31 March 2012 (i.e. 2011-12)

Percentage granted between 1 January and 31 December 2010: 82%

Comparable data exists from Quarter 1 2008, annual data exists from 2000 although there is a discontinuity in 2008 due to a change in the definition of Public sector employment.

Good performance will be an increase in the private sector share of the potential workforce (so a positive change (ppts)). However, we will obtain from ONS (the data owners) quality measures to indicate what constitutes a significant increase given the methodology used to compile the data and the time period considered.

Quarter 4 2010.

OECD data published in Education at a Glance from 2001

Our most recent performance is based on OECD data published in September 2010, and re-presented in the BIS Statistical First Release on Post-16 Further Education and Skills. In this, the UK ranking is1) 19 / 30 OECD countries for the percentage of 25-64 year olds with at least upper secondary education and2) 12 / 31 OECD countries for the percentage of 25-64 year olds with tertiary education

Good performance would be to see the UK position in the ranking stable or go up over time. UK rankings will depend not only on the domestic performance, but also on both the number of countries who are official OECD members and changes in other countries including migration between countries.

It will therefore also be important to monitor domestic performance using the more timely England Labour Force Survey results (which are available within t + 6 months rather than t + 2 years).

Consistent data exist from Q1 2000, and further data with discontinuity back to 1997.

This shows the percentage positively engaged in some sort of education or training activity to improve their skills, regardless of their employment status.


Rates have been calculated since 2005/06 showing the proportion of a single cohort of young people aged 15 in 2001/02 who progressed to HE by age 19 in 2005/06

The latest data reflects the percentage of young people aged 15 from English state schools who progressed to HE by age 19 by 2007/08.

FSM% Non-FSM% Overall % Gap (pp) 2007/8 15 33 31 18

Generally the expectation would be for more young people from FSM backgrounds progress to Higher Education. HEFCE estimate that the improvements in the rate of progression for disadvantaged young people will eclipse that for Non-FSM young people. Hence, a year on year decrease in the gap. As the FSM population is influenced by the economic cycle, it may be difficult to distinguish between improvements that are attributable to the HE reforms and those that reflect general economic conditions.As these are estimates, improving outcomes are reflected by integer reductions in the percentage point gap. Conversely, improving overall rates of progression are demonstrated by integer increases in the percentage rate.



Not a time series - see further guidance

1999-2008: The UK has 14.4% of the top 1% of most highly-cited papers.

Maintaining or improving the UK's current share of highly cited papers would indicate good performance.

1998 0


A (statistically significant) increase in the rate

2003

2010: 46% of firms are innovation active



GEM UK survey has been running since 2000

GEM 2010 headline results published in GEM global report. GEM 2010 UK report due shortly. Latest data shows 6.4% of adults were involved in starting up or running a new business

2010: Ranked 2nd in the OECD

Maintaining position in ranking and mantaining or improving ranking on the sub-indicators.

2011

1959 2009: 58.04%

2008

The latest data will be published in the Forward Statement of Regulation which is expected to be published in March (TBC).

The change in the net burden should be a slow positive increase or reduction if Government is successful in its aim to reduce the cost of the red tape of new regulations.

Baseline data 1999, 2004, 2008

2008 OECD figures: ranked lowest burdens in EU, third lowest across the OECD. Supplementary data from Impact Assessments at the time of the Forward Statement of Regulation

Position relative to EU and OECD stays the same or improves, reduction in net burden of UK employment regulation.

Increase trade as a proportion of trade or increase in the UK's ranking on trade within OECD.

In 2009/10, this wasCompetition Enforcement (£84m)+ Merger Control (£310m)+ Markets work (£345m)= Total consumer benefits (£739m)

The indicator will vary depending on casework of the competition bodies and may also vary if a better way of measuring consumer benefits is found, although the OFT is currently considered to be a world leader in this field.However, with other things equal, increases in the indicator would indicate that the competition regime is protecting and empowering consumers

40661 Decrease.

October 2011 Increase (measure 3 only)

33390 40238 Decrease

40725 Start date as above Maintain


Data to the end of December 2010; not available until 28 April 2011.

Start date as above (data strand 1 & 2)


0 40725 Start date as above

40269 40513 0

Start date as above 0The baseline report was published on 14th September 2011

Decreasing re-offending rates

Decreasing re-offending rates

Reduction in the rate of Juvenile First Time Entrants

27 October 2011 (first publication on a new measurement basis). Statistics have been produced since 2000, but on a different measurement basis

Published 24 July 2012, covering cohort for 12 months ending Sept 2010

27 October 2011 (first publication on a new measurement basis). Statistics have been produced since 2000, but on a different measurement basis

Published 24 July 2012, covering cohort for 12 months ending Sept 2010

Data has been published for a number of years (originally by Department of Education, now by Ministry of Justice). Coverage of published statistics will widen to cover England and Wales, rather than just England, and will also include offences dealt with by the British Transport Police which had previously not been counted [back data will be revised accordingly]. Data is available from 2000 onwards.

Published May 2011, covering 2010 calendar year

0

December 2011 (TBC) 0

- - -

At a national level: (a) Criminal Courts data based on the conclusion of the case in EITHER mags or Crown Court have not previously been published but due to be published in September 2011; MoJ have published statistics on timeliness of cases in mags and Crown courts separately for many years; (b) Civil Proceedings data have been published by MoJ for a number of years, (c) Care Proceedings data first published by MoJ related to Q2 (Apr-Jun) of 2010; (d) Tribunals timeliness data have been published by MoJ for many years but are not currently published in the planned 'percentiles' format - will be September 2011. Data at regional level have been published either annually in official statistics reports or made available on request.

Published 28 June 2012, covering Q1 2012

Statistics on civil (non-family) cases reaching the 2 stages mentioned above has been published by MoJ for a number of years.

Published 27 September 2012, covering Q2 2012

Volumes of cases reaching the 2 stages will fall. Note that if more civil (non-family) disputes are resolved without a claim being issued in the courts, then the proxy estimate of the proportion of proceedings started which reach hearing/trial could increase if generally it is the more intractable cases which reach the civil courts at all.

March 2011/Financial Year (TBC)

- - -

- - -

- - -

- - -

- - -

- - -

- - -

- - -

- - -

FY 2007-8 0

FY 2007-8 0

759 Inward Investment decisions (2009-10)

23,600 Business Assists (2009-10)

Annual WEO’s are available online from 1993.http://www.worldenergyoutlook.org/older.aspAnd have covered climate change since 2003.

2010: $18 tr (2010 – 2035)

The public should expect this number to increase. A controlled increase, or a levelling off of the figure would be a major success.The WEO expect the figure to rise by at least $500m annually.

The first country data report for Afghanistan is in 1996

2009 Percentile Ranks with Standard Error (SE) scores in brackets:Voice and Accountability: 10.0 (SE 0.13)Political stability: 0.9 (SE 0.26)Government effectiveness: 3.3 (SE 0.22)Regulatory quality: 2.9 (SE 0.19)Rule of Law: 0.5 (SE 0.18)Control of Corruption: 1.4 (SE 0.20)

We are seeking increases in the percentile rank for the Government Effectiveness dimension on a yearly basis.The monthly parliamentary reports will provide descriptions of progress in government effectiveness.

The data series is due to start reporting in July 2011.

Not yet available. This is a new approach; the first data is expected to be available by July 2011.

To be confirmed, but it is likely that the public should expect an increase in number to demonstrate whether improvement has been achieved.

40725

Current consular, historical survey data is collated from April 2008 (not including any archived consular survey data).It is an aspiration that the new consular satisfaction measure will be developed from summer 2011.

The current % customer satisfaction from January 2011 is 88%. As an interim measure, we will use this statistic as our single numerical indicator.Other appropriate metrics to measure our impact are as follows:The % of consular staff who received Consular training in the last 4 years (January 11) is 88%Total number of complaints (January 11) = 3

We are seeking to improve the % of customer satisfaction.It is noted that when the new survey measure of customer satisfaction is developed, then the new measure may not be able to be accurately tracked to the current measure.

will be available in July 2011

It will be useful to clarify the underlying causes for changes, especially decreases. A decrease in the number of children supported may result from: a decline in DFID budget support, an increase in host government / development partner expenditure – or a decrease in the proportion of it spent on education, a decline in primary enrolment, a re-alignment of grades to ISCED levels or some combination of these factors.

40725 available from July 2011 0

40725 available from July 2011 Good performance will be if there is a well coordinated approach by development partner supporting a national strategy. The intention is that this would lead to a rate of increase in coverage sufficient to mean that the country would be on track to meet the MDG target. National government leadership will be critical, particularly to achieve the rapid increases in coverage necessary in many LDCs.

40725 available from July 2011

40725 available from July 2011

Increased access to financial services helps poor people reduce vulnerability due to unforeseen events such as illness of the family’s main bread-earner and natural disaster (floods, drought), seasonal fluctuations in income etc. It also helps poor households to build savings to be able to afford assets or higher education for children etc.

Different countries hold different elections in different years. An increase or decrease in annual reporting figures is no reflection on DFID performance.

40725 available from July 2011 0

40725 will be available July 2011

41091

The public should be looking for an increase in the absolute numbers receiving support. In the very long terms, assuming our interventions are successful, and people are more resilient to the effects of climate change, we should see direct support reducing, but unlikely in the current CSR period. A fall in the numbers receiving support in the meantime could mean government partners have decided to prioritise capacity building and analytical actions before determining long term adaptation actions. Particularly in contexts where capacity is especially weak (eg many countries in Sub-Saharan Africa) such a course of action would be entirely reasonable.

First published in November 2010. Quarterly data are available since April 2008 with Annual data available back to 2003 on a comparable basis.

To make sufficient reduction to household carbon emissions to meet the Carbon Emissions Reduction Target (CERT) by end of 2012

1996 2010

2011

winter 2011/12

2010 2011 <5Gt

1990 2011 provisional

2005-06 2011-12

2000 2011

The indicator doesn't explicitly measure "performance" as it depends on things outside control of Government. Reducing fuel poverty is the aim. But difficult when energy prices rise (often a result of high crude oil prices)

Data are available from 2004

Shown by an increase in the percentage and progress made towards obtaining a value of 15.0% by 2020

Data are available back to 1993/94

Electricity: transmission entry capacity of UK power stations owned by major power producers is greater than the simultaneous maximum load met in the UK. Gas: peak forecast of supply is greater than the actual maximum daily demand.

Greenhouse gas emissions should decrease over time, and we have both international and domestic targets covering the 5-year period 2008-12.

Because the mission is long term and because the challenge inherited by the NDA was poorly understood, the Nuclear Provision has risen significantly in recent years as the NDA has increased its understanding of the task and related costs. Over time, the Nuclear Provision should fall as the work-off rate and the impact of efficiency and innovation in reducing the expected cost of work start to exceed increases in scope or financing costs.

Shown by an increase in the percentage and progress made towards an increase in UK energy generation from low carbon sources

2000 Decrease

1973 Increase at a rate of 2% or more

2008/09

Refer to Quarterly Data Summary for latest data

Base year for the index is 1970


An overall increase represents improvement. Ideally, increases will be observed in the farmland specialists and in particular in the priority species.



Increase. Note however that an increase resulting from a fall in the utilised agricultural area might be a cause for concern.

2009/10 Increase

2005


FY 1995/6 (Quarterly figures were first produced since FY 2006/07)


An increase in recycling rates demonstrates improvement.


An increase in the number of OTF herds should be regarded as improved performance. However, it should also be recognised that an increase in the amount of testing that is undertaken at this stage of the epidemic, would mean it likely that more disease was found, and consequently a greater proportion of herds might be non-OTF.

2008 Increase

-

-


January 2011, released in June 2011

Data collected continuously from January 2011 with results from Jan-March 2011 available from June 2011. Regular annual data available from September 2012 onwards.

As an impact indicator from 2009/10 financial year, released in July 2011

2009/10 financial year onwards

-

From 2011 -

New data collection series to be published in March/April 2011 (using TIU methodology)

2008 onwards for tourism direct employment.

Measures being finalised currently - responsibility is now with Ofcom to publish from late 2012 onwards.

Data which goes into constructing the indicator exists but the indicator is currently in development

The first data will be available for Q1 2011/2012 with a suitable back series, in July 2011

Currently in development therefore data not yet available. First data will be available for Q1 2001/12

Generally the public should be looking for an increase in the indicator to demonstrate whether improvement has been achieved Economic conditions need to be taken into account. For example, in a recession, even if Jobcentre Plus is performing well, the off-flow rate to employment is likely to fall.

Data already published since February 1997

Jobseeker's Allowance (claimant count) (UK Seasonally adjusted) = 1,480.90Jobseeker's Allowance (claimant count) (GB not seasonally adjusted) = 1,447.04 Employment & Support Allowance and incapacity benefits = 2,613.10 Lone Parents on Income Support (IS) = 679.15 Other (IS others and Pension Credit) = 192.19 Latest data available is to May 2010 (will change to August next month) because this is currently the latest period from which we have national statistics data on all the out of work benefits. However national statistics for JSA are available up to January 2011 and early estimates for ESA / IB and LPs on IS for December 2010 . Data covers SR10 with historical comparisons available http://research.dwp.gov.uk/asd/index.php?page=early_ests).

A decrease would demonstrate whether improvement has been achieved. As this series is based upon 100% administrative data , year on year movement of any magnitude can be considered as a change in this indicator. Seasonal movements in benefit claiming patterns affect the quarterly series, hence, year on year comparsions are needed

Already published in public domain

Data published every 6 months for QTR2 and QTR4

As at Quarter 2(April-June) 2010, 16.1% (1.86m) of children in the UK live in workless households.

Published at http://www.statistics.gov.uk/statbase/Product.asp?vlnk=14977

An improvement would be indicated by a fall in the indicator (such a change would imply a rise in the proportion of children living in working households).

The data is already published and is available on a comparable basis back to 1992.

Latest data is Nov 2010 - Jan 2011. Published at: http://www.statistics.gov.uk/pdfdir/lmsuk0311.pdf (Table 14)

A lower score indicates an improvement in outcomes for young people

This data is taken from the Labour Force Survey though this specific data is not routinely published. It is circulated internally to monitor performance and released ad hoc into the public domain as part of ministerial briefings, PQ's etc

71.2% - 46.1% = 25.1 percentage points, based on latest data (QTR 3 November 2010). Raw data for 2010 Quarter4 is now available and the analysis to produce the updated employment rates for Quarter 4 will be available

A decrease would show an improvement

Yes – Data published in the Households Below Average Income series first published in 1988, sourced from the Family Resources Survey since 1994/95.

Latest data is for 2008/09 when there were 23% of individuals in families where at least one member is disabled with incomes below 60 per cent of contemporary equivalised median income, Before Housing Costs. ( 2009/10 results will be published in April / May 2011)

http://research.dwp.gov.uk/asd/index.php?page=hbai

A decrease would show good performance.

Already published twice a year (May & November)

The latest data is:The preliminary estimate of total overpayments due to fraud and error across all benefits is £3.1bn, which is 2.1% of 2009/10 total benefit expenditure, which is forecast to be £148bn in 2009/10. The preliminary estimate for underpayments is that £1.3bn or 0.9% of total benefit expenditure was underpaid. Period of report is 12 months. Latest report published covering period Oct 2008 to September 2009

Published at http://statistics.dwp.gov.uk/asd/asd2/ index.php?page=fraud_error_arc

The percentage of overpayments and underpayments should decrease

Data published in the Households Below Average Income series first published in 1988, sourced from the Family Resources Survey since 1994/95.

Latest data is for 2008/09 when there were 16% of pensioners with incomes below 60 per cent of contemporary equivalised median income, after Housing Costs, or 1.8 million. (2009/10 results will be published in April / May 2011)


A decrease would show good performance

Data available in a consistent format from 2005

2009 ASHE12.6m employees with a pension, of which11.5m are aged at least 22 and under SPA and earn above the earnings threshold £7,475 per annum in 2011/12 earnings terms (£7,196 in 2009 terms)Latest data available is 2009 (2010 available Spring 2011)

An increase would demonstrate whether improvement has been achieved

- - -

Already published annually by ONS in Pensions Trends (Chapter 4) and is a national statistic.

Latest data available 2010 QTR2

www.statistics.gov.uk/pensiontrends

Should see an increase in the average age of withdrawal

Data is already published, however comparisons longitudinally are limited due to changes in sample design, questionnaire and business structures.

Data available from 2003. In 2009/10 PDCS moved to a combined survey to include both pensions and disability carers

From 2010 -11 will be combining and analysing data from PDCS and JCP surveys to generate a pan-departmental score which will be available from Autumn 2011

Latest data is Spring 2009

http://research.dwp.gov.uk/asd/asd5/rrs-index.asp

A higher score indicates improved customer satisfaction

As this will be a new combined measured for JCP and PDCS from 2011 it is difficult to say how much the data would have to move to assess an improvement / deterioration. As an example using the PDCS survey sample (over 4,000), it would depend on what the previous score was, overall satisfaction score extremely high at 92% would take a smaller increase of just over 1% to be a statistically significant change. However measures where satisfaction scores are lower (75 - 80%) a shift of at least 2% would be required to be significant

N/A

1948 2009

Surplus on current budget: SOCB = PSCR – PSCE.Cyclically-adjusted surplus on current budget (CA SOCB) = surplus on current budget (SOCB) – 0.50 * output gap in the current fiscal year – 0.20 * output gap in previous fiscal year.

Outturn data for cyclically adjusted current budget is available from 1973-74 to 2009-10.

The latest outturn figure for cyclically adjusted current deficit is -5.3 % of GDP for 2009-10. This figure, and forecast figures to 2015-16 were published by the OBR in their November (2010) Economic and Fiscal Outlook. The cyclically adjusted current budget is forecast to be -4.7% of GDP in 2010-11, -3.3% of GDP in 2011-12, -1.8% of GDP in 2012-13, -0.5% of GDP in 2013-14, 0.5% of GDP in 2014-15, and; 0.9% of GDP in 2015-16

Outturn data for public sector net debt (as a percentage of GDP and in cash terms) is available from 1974-75 to 2009-10

The latest outturn figure for PSND is 53.6% of GDP for 2009-10. Forecast figures to 2015-16 were published by the OBR in their November (2010) Economic and Fiscal Outlook. PSND is forecast to be 60.8% of GDP in 2010-11, 66.3% of GDP in 2011-12, 69.1% of GDP in 2012-13, 69.7% of GDP in 2013-14, 68.8% of GDP in 2014-15, and; 67.2% of GDP in 2015-16.

Original Total DEL plans minus Total DEL outturn

Data for the financial year 2010-11 will be available in July 2011.

Data for the financial year 2010-11 will be available in July 2011.

GDP per capita (adjusted for inflation) = GDP at market prices (chained volume measure) / UK home population

3 months to November 2010

0 Ongoing 26% (28% in OECD data, before latest tax changes)

Ongoing To be published quarterly from mid-May

0 Ongoing 0

Employment rate in region A = Number of people aged 16 to 64 and living in region A who are in employment / Total population aged 16 to 64 living in region A

3 months to May 1992 (regional breakdown); 3 months to March 1971 (UK aggregate)

Gross committed (not the amounts drawndown by businesses) of loans and overdrafts; asset, trade and finance invoicing.

40633

0 0 0

40268

40268

40268 £1.4bn

40268

Value Invested or pledged by HMT in RBS and Lloyds - net of redemptions or share sales

£45.5bn in RBS: £15bn Ordinary Shares£5bn Preference Shares (subsequently converted into ordinary shares)£25.5bn B sharesThe Government has invested £20.3bn in LBG:£13bn Shares (HBOS and Lloyds TSB)£4bn Preference Shares (HBOS and Lloyds TSB)(£4.2bn) redemption of preference shares£1.7bn take up of ordinary shares£5.8bn investment in rights issue.

Total value of HMT Exposures

As at 31 March 2010 exposures are : Loan - £22.97bn, Contingent capital - £1.6bn, £15.8bn wholesale deposits guaranteed

Value Invested or pledge by HMT in Northern Rock PLC net of redemptions or share sales

£1.4bn equity investment + £7.2bn deposits Guaranteed

Total payment less recoveries from administration

Total loan balances plus HMT top up payments. Less recoveries from administrations

Heritable: FSCS Loan £0.3bn, Top Up Payment £0.06bnKSF: FSCS Loan £1.8bnHMT Top Up: 0.3bnIcesave:FSCS Loan: £1.4bnHMT Top Up: £0.8bnDIGF: £2.2bn

40543

40633 As at 01 December 2010, £115 bn

40633

40633

Total value of all exposures

£15.7bn loan to FSCS£2.7bn Top Up Payment£8.55bn Working Capital Facility£6.8bn Wholesale deposits guaranteed

Contingent liability (reported by DMO) of outstanding debt. Reported in HMT's accounts, information provided by DMO.

APS exposure = ((APS asset pool) – £60bn firstloss)X 0.9 HMT exposure on remaining pool),

Since the scheme opened the covered amount has reduced from £282bn to £205bn due asset sales and maturities - reducing HMTs maximum exposure to £131bn.

Contingent liabiltiy (BoE) of outstanding amount in the Scheme

End-Feb 2011 Bank reported total outstanding in the SLS £91bn

Behavioural impact Comparability Collection frequency

None

None (collection of underlying data - death registrations and household survey data on limiting long-standing illness has no impact on the behaviour of NHS/public health organisations)

LE is a widely recognised measure used for international comparisons. DFLE is used for international comparisons (it is an EU Structural Indicator), however international comparisons should be treated with caution due to cultural differences affecting self-reporting of health status. The SII cannot be used for international comparisons of inequalities, due to issues with the comparability of the geographical unit used and the definition of deprivation.

The SII indicators can be used to make an assessment of change in inequalities over time (based on non-overlapping four-year time periods).

Updated annually on a four-year rolling average basis.

Collection of this indicator is not likely to have any direct impact on behaviour as this is based on nationally collected data.

Source data on births produced annually

None

None

- - -

None None

International comparisons can be made on low birth weight of live births for OECD countries and globally (Source: World Health Statistics), but comparibility at socio-economic level is not possible.

Source data on births and deaths produced annually

International comparisons can be made on low birth weight of live births for OECD countries and globally (Source: World Health Statistics), but comparibility at socio-economic level is not possible.

Source data on births and deaths produced annually

Possibly if taken in isolation, as amenable mortality by definition only includes deaths under 75 years of age. However the risk of perverse incentives was considered in the development of the NHS Outcomes Framework and this indicator forms part of a balanced set of indicators which also includes Life Expectancy at 75 to mitigate the risk.

No. There are various definitions in existence and the definition will anyway change over time as new causes of death become amenable to health care. Both ONS and the OECD are working towards standard definitions for delivery in 2011. These will be updated on a regular basis.

Source data on deaths and population produced annually

Bi-annually from the GP patient survey (GPPS). Annually from the Health Survey for England (HSE)

Annual.

None Quarterly

None None Quarterly

Collection of the data through a survey process has been extensively tested and subject to research. No behavioural impacts have been identified which would impact on the robustness of the information. However, the survey is being conducted for the first time in 2010-11.Following the first year of data collection, it is envisaged that the survey process is reviewed and results analysed to investigate whether further improvements to the methodology can be made. The indicator is not known to create any perverse incentives. The methodology is based on random sampling and a postal survey, hence if the guidance is followed the potential for ‘gaming’ via selection of certain individuals, or for influencing the reported outcomes, is very small.

There are no readily comparable international indicators for the social care quality of life measure.The Adult Social Care Outcomes Toolkit (ASCOT), on which the survey questions are based, is a model in use locally in a number of councils, so will be comparable to local information derived in those places. A similar measure is proposed to be developed in relation to the quality of life for carers (using data from the Carers Survey and a similar methodology), but this will not be directly comparable.

Yet to be determined – requires further investigation

+ None Annually from 2011/12

None None Annually

Annual.

None Quarterly

Collection of the data through a survey process has been extensively tested and subject to research. No behavioural impacts have been identified which would impact on the robustness of the information. However, the survey is being conducted for the first time in 2010-11.Following the first year of data collection, it is envisaged that the survey process is reviewed and results analysed to investigate whether further improvements to the methodology can be made. The indicator is not known to create any perverse incentives. The methodology is based on random sampling and a postal survey, hence if the guidance is followed the potential for ‘gaming’ via selection of certain individuals, or for influencing the reported outcomes, is very small.

There are no readily comparable international indicators for the satisfaction measure.Data are available at a national level for specific client groups, and councils may have more information available locally. For example, in 2008/09 58 per cent of older people receiving publicly funded home care service reported they were extremely or very satisfied with the service that they received.

On-going work is required to understand the effects of including this indicator in the NHS Outcomes Framework as increasing numbers are liable to reflect better reporting.

None Quarterly

Annual

Annual

Annual

On-going work is required to understand the effects of including this indicator in the NHS Outcomes Framework as increasing numbers are liable to reflect better reporting.

The data have been collected and published for many years so there should be no new changes in behaviour.

No – tests are run in England only and are based on the National Curriculum not used in other countries (except Wales)

Although this Basics indicator is new, maths and English performance has been a key element of the broader indicator of 5 A*-C GCSE including maths and English that has been collected and published for many years. As such, it is not thought likely a new indicator focused on just maths and English will lead to significant behaviour change. If Science is included, this is likely to encourage a greater focus on Science by schools, in particular the qualifications included in the indicator.

Comparable with Wales but not otherwise comparable internationally.

The data have been collected and published nationally for a number of years so no new behaviour change as a result of data collection is expected.


Annual

Annual

At present the indicator will not be reported at institutional level so is not expected to lead to behavioural change


Schools are more likely to offer (and pupils more likely to take) the subjects included in the English Baccalaureate


Not comparable internationally Annual


The data have been collected and published nationally for a number of years so no new behaviour change as a result of data collection is expected. However the indicator should provide a continuing focus on improving the performance of FSM pupils.

The KPI is provided as three figures showing:

(i) the gap(ii) the attainment figure for the non FSM pupils(iii) the attainment figure for the FSM pupils. This is to mitigate the risk of a closing gap being achieved through a reduction in attainment in either the non FSM group or in both groups

The data have been collected and published nationally for a number of years so no new behaviour change as a result of data collection is expected. However the indicator should provide a continuing focus on improving the performance of FSM pupils.The KPI is provided as three figures showing:(i) the gap(ii) the attainment figure for the non FSM pupils(iii) the attainment figure for the FSM pupils. This is to mitigate the risk of a closing gap being achieved through a reduction in attainment in either the non FSM group or in both groups

Not comparable internationally Annually

Not comparable internationally.


The data have been collected and published nationally for a number of years so no new behaviour change as a result of data collection is expected. However the indicator should provide a continuing focus on improving the performance of young people from more disadvantaged backgrounds.The KPI is provided as three figures showing:(i) the gap(ii) the attainment figure for the non FSM pupils(iii) the attainment figure for the FSM pupils. This is to mitigate the risk of a closing gap being achieved through a reduction in attainment in either the non FSM group or in both groups

The data have been collected and published nationally for a number of years so no new behaviour change as a result of data collection is expected. However, the indicator will continue to provide a focus on the attainment of looked after children at the end of primary and secondary school and should lead to a raising of aspirations

The data are collected and published on an annual basis

The data have been collected and published nationally for a number of years so no new behaviour change as a result of data collection is expected.

Not comparable internationally AnnualThe introduction of the floor standards further incentivises schools to improve their performance to meet the new bench marks.

This indicator will provide a continuing focus on the reduction of absenteeism in schools. The Government is committed to reducing all forms of absence not just a small subset. Absence should only be authorised where it is necessary and unauthorised absence needs to be tackled and reduced. By measuring Overall Absence in this Indicator we are removing the perverse incentive where - if we were to monitor unauthorised absence only – schools may just feel obliged to authorise pupil absence rather than tackling the cause behind it.

Data on school absence rates are published in Scotland, Wales, Northern Ireland and Republic of Ireland. There is very little data readily available on absence or school-attendance rates for countries outside the UK, with the exception of Ireland. Caution should be taken when making comparisons between countries, as data collected may be based on different definitions. Although, this is less likely to be an issue when comparing data from countries within the UK.

Data are collected on a termly basis and collated annually to provide results for the academic year.

No comparable internationally. Annual

Not Applicable Quarterly

0 Calendar year

An improved focus on the attainment of pupils in alternative provision should encourage better pupil attainment.

The publication of these data could generate further interest amongst schools to become academies and encourage more applications to establish Free Schools.

The data are compiled by DECC and its contractors on a calendar year basis due to the reporting timetable of the United Nations Framework Convention on Climate Change (UNFCCC) and the EU.

No behavioural impact is expected. 4-weekly

No obvious impact. This measure is only used in England. Annual

A variety of performance measures are applied in different countries. These typically depend on the nature of individual rail operations; for instance, whether services are predominantly for short commuter trips or whether there is a mix of longer distance and commuter journeys.

Comparisons can be made between GB train operators, but consideration should be given to the sectors operated within.

Data is collected independently of monitoring the business plan so there should be no behavioural impact or perverse incentives.

Comparisons can be made between regions and countries in Great Britain.

Data is collected continuously throughout the year/

No perverse incentives are anticipated Reliability is highly complex to measure. As such, there are currently no internationally recognised standards to enable comparison between countries.

Data are collected continuously via monitoring equipment, but collated and processed to produce ‘on time’ performance on a monthly basis. Data will also be published on a monthly basis.

Collecting the data is unlikely to have any behavioural impact or create perverse incentives.

This is the commonly agreed international definition; most countries define a fatality as one being due to a road accident where death occurs within 30 days of the accident. Comparisons are usually made on the basis of road deaths per million population.

Data are collected continuously but processed and analysed quarterly by DfT. Final annual figures are published at the end of June each year. Currently estimated numbers of fatalities for the year ending March, June and September are published in August, November and February respectively. More detailed breakdowns of the data are published in the Annual Report in September each year.

http://www.dft.gov.uk/pgr/statistics/datatablespublications/accidents/

No substantive behavioural impact is expected to result from collection of this data. The indicator does not create any perverse incentives.

Data concerning fuel type, body type and emission standards from which this indicator is derived are standard measures across European member states.

Underlying data are collected and published at a high level on a monthly basis. The specific figures for the indicators are published annually.

Annual

Quarterly

Annually

Quarterly

The indicator does not create any perverse incentives.

No international comparisons are available.

Data are already collected and so continuing with collection is unlikely to have any behavioural impact. No perverse incentives have been identified.

Consistent across English housing authorities and over time




Consistent over time and across regions.

Ongoing monitoring information, published every six months



Quarterly

Quarterly

Annually

Quarterly




Recorded as per detailed national guidance. Discontinuity before implementation of Incident Recording System (1 April 2009).

No new data are needed and so there should be no behavioural impact. No perverse incentives have been identified.

Consistent across the local authorities included within the definition and over time

No new data are needed and so there should be no behavioural impact. No perverse incentives have been identified.

Consistent across the local authorities included within the definition and over time

Quarterly to June 2011; then annually, as proposed in the DCLG Statistical Plan

Data for the PSE and the LFS is already collected so using this information as an indicator is unlikely to have a behavioural impact.

Data is Not Seasonally Adjusted therefore each quarter should only be compared with the same quarter of the previous year, or an annual average produced.

OECD Annual

Quarterly

Changes to the mixture of the FE provision that government funds may have a direct impact on this measure.

None directly, as levels of participation in any given area will depend more directly on prevailing economic conditions and changes to the mixture of the FE provision that government funds.

OECD's participation statistics are for a different age range and focus on a narrower definition requiring courses to have a duration of 6 months or more.

Annual

Indicator under development Indicator under development Indicator under development

None anticipated. Biannual

Data is already collected and published, so not likely to have any behavioural impact over and above any it already has – ie. encouraging HEIs to widen access within their undergraduate population and/or state schools to raise the attainment and aspirations of their pupils

Not an international standard, nor does it facilitate comparisons between the four home countries of the UK. The based school population reflects English domiciled pupils aged 15 only

UK share can be compared with other countries

0 Biennial

Indicator under development Indicator under development Indicator under development

None expected

None expected Annual

International comparability using with EU-wide Community Innovation Survey

Yes- GEM is an international consortium with teams in 59 countries (in 2010 survey). Whilst the size of the survey varies by country, all results are published with confidence intervals to allow international comparisons.

Data collected and published annually

Doing Business project covers 183 economies. Preferred measure is performance in comparison with other OECD members.

NA

N/A

None expected Across OECD member states Annual

The Impact Assessment process is common across many OECD countries but we are not aware of aggregated annual or similar data in other countries.

Once a year. Also possibly at each common commencement date.

OECD indicators are a comparative measure. Supplementary UK data from impact assessments does not have cross-country comparability (see indicator 13)

OECD indicators every 4-5 years, supplementary information annual

There is a possibility that this could affect the behaviour of the competition bodies, but as this data has been published by the bodies themselves, any behavioural impact will already be accounted for.

There is no comparable indicator with other countries as UK is a world leader in the calculation of consumer benefits. However, there are comparisons of the competition bodies internationally, which is published by the Global Competition Review

Data is published annually after the end of the financial year.

Yes

No Quarterly

No Quarterly

Yes, potential impact on recording practices, especially of low level crime.HMIC QA methodology.

National crime data are governed by the National Crime Recording Standard which aims to ensure consistency in the recording of crime between police forces in England and Wales.The indicator is not comparable internationally.

Rolling 12-month crime rates are collected monthly and published quarterly.

Yes, potential impact on case adoption criteria by agencies to increase number of disruptions at the expense of longer term, complex cases. Agencies have existing QA processes to check against this, external QA/ peer review will be provided by multi agency Threat Reduction Boards. Incentive for recording of large groups as more than one group - distorting impact on data. QA in place.

No international comparisons as no other country has assessment indicators on organised crime

Quarterly provisional data - outturn annually

No behavioural impacts have been identified.

Quarterly provisional data - outturn annually



No Quarterly

Increase No

There is a potential impact that cases decided outside service standard could be de-prioritised. This is mitigated by secondary service standards i.e. 95% within 6 months for all work streams (with the exception of those with a primary turnaround of 6 months). We also use a range of quality measures, as detailed in the UK Border Agency business plan, to assure quality as well as timeliness


No behavioural impact on the basis that the customer base is satisfied with delivery timescales.

Yes, depending on completion rates and timescales used by other countries

Collated weekly, reported monthly

The collection and publication of these data are likely to have an important behavioural impact. The publication of gender equality data by companies will likely change their practices, encouraging organisations to analyse the problems affecting gender equality within their workforce; develop strategies to address issues of women’s participation at every level and closing the gender pay gap; and over time, improving the quantity and quality of reporting from the private and voluntary sectors.

It will be difficult to compare results on this indicator internationally, but the kind of data reported by companies (e.g. gender pay gaps etc) is standard.

The data will be collected and published annually.

n/a Quarterly

Quarterly

n/a No

Consistent measure used over time but raw re-offending rates between countries should not be directly compared – there are a range of underlying differences in the justice systems and the methods of calculation. An example of these differences is addressed in the Compendium of reoffending statistics and analysis published in November 2010.

Movement of prisoners could lower re-offending rates for individual prisons. Mitigated by monitoring movements data at the prison level.

Consistent measure used over time but raw re-offending rates between countries should not be directly compared – there are a range of underlying differences in the justice systems and the methods of calculation. An example of these differences is addressed in the Compendium of reoffending statistics and analysis published in November 2010.

Data collected on ongoing basis on administrative systems, published quarterly.

n/a No

n/a No

No N/A Annually

- - Quarterly



- - Annual

- - Annual

- - Annual

- - Annual

- - Quarterly

- - Annual

- - Annual

- - Annual

- - Annual

No Annual

No Annual

This quantitative measure is balanced by others that assess the Quality and Impact of UKTI support. UKTI constantly monitor for evidence of perverse behaviours and mitigate against this by means of management messages and staff training.

This quantitative measure is balanced by others that assess the Quality and Impact of UKTI support. UKTI constantly monitor for evidence of perverse behaviours and mitigate against this by means of management messages and staff training

None This is an international indicator. Yearly, in November.

Negligible as the indicator is based on a collation of a range of existing data sources.

The indicator is a recognised standard which allows us to compare the data year on year and potentially allows us to compare Afghanistan with 213 other world countries as comparative benchmarks.

The World Governance Indicators is updated yearly.Progress will be updated on a monthly basis from written updates to Parliament. These progress reports include a range of quantitative data, which is supplied on a more regular basis.

No. This approach will provide an over-arching view and as a result would not drive perverse incentives.

The result in July 2011 will reflect the FCO's performance. Later in 2011, University of Bradford/Saferworld plan to extend the CPPI methodology to a number of additional countries, at which stage the UK’s performance will be ranked against that of other participating countries.

To be confirmed. Expected to be annually.

0

FCO Consular frequently assists British nationals in times of crisis. Owing to the sensitivities of the cases and the distress of those involved, the FCO currently only administers surveys where the Post feels it is appropriate to do so. This means that surveys are not administered to all cases handled.

The consular survey allows comparisons between case types, locations and time. There is potential scope to compare survey findings with other countries, however the survey questions would need to be similar to make an accurate comparison.

The statistics are currently compiled monthly to inform a Balanced scorecard measure. To inform HMTs requirements, the survey data will be collated on a quarterly basis. Analysing the survey data on a quarterly basis will increase the sample size of the responses.

Business Plan indicators are a small subset of data gathered by the DFID to measure inputs, outputs and outcomes. They are not mandatory at the project level or Operational Planning level and funding decisions are not based on what we can measure through these indicators. But we will mitigate against this by using complementary indicators and tracking other qualitative indicators simultaneously.

DFID will collate and eport annually. UIS data and expenditure data should be available annually.


The distribution of ITNS is an internationally recognised output indicator monitored by National Malaria Control Programmes, the World Health Organisation, UNICEF, the World Bank, GFATM, UNITAID, G8 countries and for MDG 6c progress reviews.

DFID will collate and report annually. All sources report annually.

0Business Plan indicators are a small subset of data gathered by the DFID to measure inputs, outputs and outcomes. They are not mandatory at the project level or Operational Planning level and funding decisions are not based on what we can measure through these indicators. But we will mitigate against this by using complementary indicators and tracking other qualitative indicators simultaneously.

DFID will collate and report annually. JMP report every 2 years. National surveys are collected every 3 to 5 years.

n/a n/a


A similar indicator is monitored by some multilateral organisations - we are investigating whether this can be included with this indicator.

DFID will collate and report annually.


0

n/a

None Quarterly


DFID will collate and report annually. UN WPP is updated less than annually and RHR/WHO is based on country level data, some is available every 3-5 years.

There is a risk that collecting this data on numbers creates incentives among project/ Govt partners to purely focus on numbers, and therefore neglect extending adaptation actions to harder-to-reach (but more vulnerable) communities, who may be fewer in number. We will mitigate against this by using complementary indices for vulnerability and tracking other qualitative indicators simultaneously, which should reveal anomalies in the data for this indicator.


There is no recognised international comparison for this indicator. A consistent methodology is used for estimates from England, Wales and Scotland

None Annual

None Annual

None Annual

Already a global indicator so N/A Annual

None Annual

None n/a Annual

Annual

Figures are calculated by each country separately and compared in the annual report on fuel poverty statistics that DECC produce (alongside figures for England). Comparisons of the methodology for each country (which are slightly different) are published online.

Whilst all members states have their own individual targets, the methodology used to calculate progress is the same for all 27 EU member states.

The data required to calculate the electricity figure is provided to the EU and IEA so comparable data will be available for other member countries

Data in the public domain but highlighting it provides further incentives for countries to address the gap between long-term ambition and near-term actions

Greenhouse gas emissions are reported in accordance with international reporting guidelines, and are consistent with equivalent data for other countries.

Focusing on a measure of final outcome such as proportion of low carbon energy investment means there is a substantial time lag between policy intervention and changes to the indicator and it is hard to attribute cause and effect to a particular policy

Energy statistics for other countries are available on the IEA and Eurostat web site, so comparable data are available for other member states

Annually

Annually

Reducing levels of nitrogen use reduces the environmental risks but also reduces inputs (fertilisers and animal feeds) thereby improving economic performance.

Indicator is based on recognised and standard methodologies and allows comparisons with other countries.Results for 2009 only have been adjusted retrospectively to ensure comparability with 2010. These take account of the methodological changes outlined above. Results prior to 2009 are not comparable with later data.

The indicator covers the provision of public goods from landscapes and biodiversity. This indicator is balanced by the input indicator which measures the economic performance of farming. There is a risk that farmland bird populations become an outcome rather than being used as a measure of the extent and quality of habitats.

Indicators are based on recognised and standard methodologies and allow comparisons with other countries.

Collected and published annually.

The indicator is a measure of economic performance and does not explicitly account for environmental performance. This risk is mitigated with the publication of other types of environmental measures such as the Business Plan indicators 'Farmland Birds Index' and 'Agricultural soils nitrogen balance'.

Compiled from set of Economic Account for Agriculture which are complied in accordance with internationally agreed methodology.

The collection and measuring of the data is carried out already. There could be an incentive to manage larger schemes covering more utilisable area in detriment of smaller ones that may have a bigger impact on the environment. This risk is partly mitigated by the assurance that all of the options in HLS are capable of delivering a certain level of environmental benefits and partly by the choice of unit cost (which could favour smaller high impact agreements).

Possible European comparison (Agri-environment uptake under Pillar 2), but availability of data unknown and schemes in other Member States are in themselves not directly comparable.

Quarterly - more frequent possible (data updated daily)

No risk of perverse incentives. AnnualData are collected by a single organisation, so there are no cross-organisational comparability issues.

No risk of perverse incentives for this indicator

Possible to obtain some EU comparators

Quarterly collection, annual comparison. Indicator compares Q2 of each year

There is some risk of perverse incentives by doing more testing in those areas that are at lower risk from bovine TB, and proportionally less testing in those areas at high risk from bovine TB. This would artificially produce an improvement in the performance measure. However, bovine TB policies are developed in conjunction with the TB Eradication Group (a group containing Departmental, AHVLA, industry and veterinary experts) which mitigates this risk to a great extent.

It may be possible to compare with Wales and Scotland.

TB statistics are published on a monthly basis. The frequency of reporting will be on an annual basis. Reporting more frequently can be misleading due to the variability and seasonality of the data.

Quarterly

Annual

Measuring the number of homes where flood and coastal erosion risk has been reduced is not, on its own, an indication of a high performing programme. This indicator needs to be considered alongside the input indicator to provide a robust view on the value for money of the outcomes being delivered. As there is only one pair of Business Plan indicators to cover flood and coastal erosion risk management, the focus has been on monitoring the headline statistic of value for money in the programme of investment in improved defences. However other activities within the programme are a crucial part of a sustainable approach. These include delivering environmental outcomes, routine maintenance of existing defences, mapping, forecasting and warnings, incident response, adaptive approaches, especially to manage coastal change and the development and implementation of innovative approaches. These activities will be monitored through indicators in the Environment Agency Corporate Plan and outcome measures (OMs) reported quarterly to Defra.

Because of different geographical risk profiles, legal and policy frameworks it is not possible to establish meaningful international or private sector comparators at a programme level. However, specific activities within the programme are benchmarked and compared as part of the value for money and efficiency exercises. Similarly internal regional comparisons are not feasible at the programme level.

No behavioural impacts and no perverse incentives.

There is no recognised standard for measuring participation in competitive sport, so international comparisons are difficult

First estimates reported from August 2011. Possible to report rolling annual estimates on a quarterly basis from June 2012.

No behavioural impacts. The only possible perverse incentive would be for cultural institutions to minimise other income streams so that contributed income makes up a higher percentage of total income. However this would not be in their interest.

There are concerns regarding increases in the number of Foundations/Trusts, who will be attaining charitable giving funds to our funded cultural institutions. These are outside of the DCMS remit and therefore this indicator will not show the total amount of charitable giving in the cultural bodies we fund.

Reliant on comparability of statutory accounts between cultural institutions we fund.

0 Annual

Annual



Comparable with other European states by definition.

No - Not currently aware of any perverse incentives created

It is unlikely the indicator can be used as a recognised standard due to the HMRC data constraints., and we are unaware of other countries having a similar measure

Quarterly. The data is subject to seasonal labour market factors that cannot be removed until the series has been established for some time. Quarterly data will still be subject to this but will be less open to misinterpretation (data is not currently published) .

Focusing on reducing pure benefit numbers may reduce DWP’s concern with job entry and employment outcomes.

Benefits data isn't generally compared across countries because of differences in the structure / coverage of the welfare system

Quarterly in February, May, August and November

Focusing on children living in workless households may reduce DWP’s concern with what their parents are doing, just whether they are workless. Other indicators will capture DWP's progress in moving their parents off benefits and into work.

Eurostat publishes data on the proportion of children living in jobless households for many EU countries (including the UK). The data is not directly comparable with the ONS published figures as it is published annually and uses a different definition for children (defined as aged 0-17).

Published every 6 months for QTR 2 and QTR4 (not directly comparable as the data is not seasonally adjusted)

Published at:http://www.statistics.gov.uk/statbase/Product.asp?vlnk=14977

Minimal - indicator is not a target. Monthly.Data is seasonally adjusted and available monthly on a rolling quarter basis. So comparable quarterly data is available each month. It is based on Labour Force Survey data which uses internationally agreed concepts and definitions, so is internationally comparable.

Unlikely to have an impact. This is a high level measure and as such relatively small scale activities such as cherry-picking or parking of customers on employment programmes would be unlikely to have a demonstrable impact on the measure.

The indicator is derived from the Labour Force Survey (LFS). The LFS is used to produce the UK Government’s official statistics on employment and unemployment, as per the International Labour Organisation (ILO) definitions and as such would be comparable internationally. Impact indicator 8 is produced using the same methodology. The disability indicator used in the LFS aligns with the Equality Act definition of disability, which in turns closely aligns with, although may not be strictly identical to, the UN Convention on the Rights of Persons with Disabilities. On the less positive side, there may be issues of comparability in that the definition of Working Age will vary between countries which in turn will lead to variability in the coverage of different countries’ employment rate measures. The definition of Working Age used for indicator 8 is 16-64 for men and women.

Quarterly QTR 4 2010 will be available Mid February 2011

Perhaps – there could be an incentive to move those just below the threshold to just above the threshold. This allows maximum progress to be shown with minimum effort. However, it is quite difficult to target efforts so specifically, and other indicators of progress published in the Households Below Average Income series would show whether this had happened. If, for instance the proportion of individuals in disabled families below 60 per cent of median equivalised income fell, while child / pensioner material deprivation and the proportion of pensioners in households with below 50 per cent of median income rose for individuals in disabled families, this would be evidence of aiming at those just below the poverty line. Current policies do not do this.

Measuring poverty using a 60 per cent of equivalised median income threshold is widely used internationally as a way of measuring relative poverty.

Annually


MVFE should not lead to perverse incentives as it is a random sample of the live caseload, independently reviewed for fraud and error.

The indicator is a recognised standard. It is recognised by the National Audit Office and the National Fraud Authority.

Published twice a year (May & November)

Published at http://statistics.dwp.gov.uk/asd/asd2/ index.php?page=fraud_error_arc

No behavioural impact Annually

Perhaps – there could be an incentive to move those just below the threshold to just above the threshold. This allows maximum progress to be shown with minimum effort. However, if it quite difficult to target efforts so specifically, and other indicators of progress published in the Households Below Average Income series would show whether this was what had happened. If, for instance the proportion of pensioners below 60 per cent of median equivalised income fell, while pensioner material deprivation and the proportion of pensioners in households with below 50 per cent of median income rose, this would be evidence of aiming at those just below the poverty line. Current policies do not do this.

Measuring poverty using a 60 per cent of equivalised median income is widely used internationally as a way of measuring relative poverty. This measure differs from the most commonly used international measures, as it takes incomes after housing costs have been deducted. This, however is appropriate in the UK context as most pensioners own their own home.

Annually


Not an internationally recognised indicator that can be used to make comparisons

- - -

No Eurostat publishes conparable statistics across the EU. However, the detailed methodology used is slightly different from that used in the Business Plan indicator, so the exact numbers will differ.

Data will be published quarterly from April 2011 for period Jan to March 2011(data will not be comparable quarter on quarter due to seasonal affects

No for both JCP and PDCSAs the data is only reporting at a regional (JCP) and business (PDCS) level and will include a random sample of customers, it is not possible to manipulate results.

For both JCP and PDCS it can only compared to other countries if the question is asked using the same wording and has the same scale. PDCS and JCP results can be compared as they use the same wording. The questions in other countries' surveys would need to be looked at before comparisons can be made

For 2010/11 this will be done bi-annually. From April 2011 annually

0 No behavioural impact.

A reduction in the cyclically-adjusted current deficit represents an improvement in the state of public finances. The fiscal mandate requires cyclically adjusted current balance to be reached by 2015-16, i.e. a cyclically-adjusted current deficit/surplus of zero (as a % of GDP). According to the latest forecast published by the OBR, the Government’s fiscal mandate is set to be met one year earlier than required, running a structural current surplus, equal to 0.5% of GDP, in 2014-15.

There is no behavioural impact in collecting this data.

This aggregate is an internationally comparable measure.

A reduction in public sector net debt represents an improvement in the state of public finances. The Government’s target for debt requires PSND as a percentage of GDP to be falling at a fixed date of 2015-16. According to the latest forecast published by the OBR, the Government’s target for debt is set to be met one year earlier than required, peaking at 69.7% of GDP in 2013-14, before falling to 68.8% of GDP in 2014-15.

There is no behavioural impact in the collection of this data.

This aggregate is an internationally comparable measure.

This is a key indicator of whether the Treasury is effectively controlling public expenditure. An overspend will show as a negative number. There is no formal target, but good financial management would imply a small annual underspend.

There is no behavioural impact in the collection of this data.

The definition of DEL is unique to the UK and is not comparable across countries.

Since international standards are used in the production of National Accounts data, data should be directly comparable across countries.

0

Most in Europe None

0

No behavioural impact (part of existing Labour Force Suvey).

Definitions of the LFS employment rate are broadly similar across countries, hence comparable.

In line with announced plans.Lowest in G7 and one of lowest in G20

May constrain tax policy to respond to other countries

Internationally comparable, although definition and application of "main rate" differs across countries

Not comparable to Bank of England Trends in Lending data: Merlin includes a wider range of lending facilities

£190bn in 2011 (if there is demand). £76bn of which to SMEs.

Could constrain finance policy to maintain Merlin-type framework

none 0

0 0 0

none none

none No Comparator

n/a none No comparator

n/a none No comparator

As the amount outstanding under declines, so does the HMT exposure. Indicating stability has allowed exit from government interventions.



none No comparator

0 0

0 0

0 0




As the amount outstanding under the SLS declines, so does the equivalent HMT guarantee to the Bank. As the amount outstanding declines it indicates firms exiting the Scheme.

Time lag Data source Type of dataOfficial statistics

National statistics

Data for 2006-09 should be available in autumn 2011, with subsequent annual updates available in April each year (eg data for 2007-10 in April 2012).

Figures calculated by ONS using data from the following sources:

Death registrations (ONS)Experimental mid-year population estimates for LSOAs (ONS)Prevalence of limiting long-standing illness or disability from the General Lifestyle Survey (ONS)Index of Multiple Deprivation 2007 (CLG)

Currently 18 months for ONS to carry out linkage of birth notification and birth registration records and run analysis. Currently exploring ways in which to reduce time lag.

Linked birth notification and birth registration records (ONS)

15 months National Statistics


- - -

Official statistics

Linked birth and death registration records

Linked birth and death registration records

Raw calendar year data on mortality and population for a given calendar year are usually available around the following July or August

ONS population and mortality data.http://www.statistics.gov.uk/statbase/Product.asp?vlnk=15106http://www.statistics.gov.uk/statbase/product.asp?vlnk=15096Current version of the indicator is published at http://www.nchod.nhs.uk

The raw data on mortality and population statistics are national statistics. The indicator would be official statistics.

GPPS data should be available approximately 3 months after the end of the collection period. HSE data is normally available between 12-15 months after the end of each calendar year of the survey.

GP Patient Survey (GPPS) and Health Survey for England (HSE)

5-8 months. Survey data is collected during the period January-March in the given year, and is published in provisional form, usually in August of the same year.

Adult Social Care Survey (part of the adult social care data collections managed by the Information Centre – see http://www.ic.nhs.uk/services/social-care/social-care-collections/user-surveys/user-survey-guidance-2010-11)

Survey-based data. Official statistic – status as National Statistic is to be reviewed.

Around 2 months after the end of the collection period

Hospital Episode Statistics. Data under current definition are published by NCHOD at http://www.nchod.nhs.uk

HES data are National Statistics

Around 2 months after the end of the collection period

Hospital Episode Statistics (http://www.hesonline.nhs.uk). Data for indicator under the current definition are published by NCHOD (http://www.nchod.nhs.uk)

HES data are National Statistics

National Statistics

National Reporting and Learning Service Official statistic

Around 3 months after the end of the financial year

GP Patient Survey. Current results are published at http://www.gp-patient.co.uk/surveyresults

Survey - official statisics not designated as a national statistics

Around 5 months after the end of the calendar year

Care Quality Commission’s (CQC) Adult Inpatient Survey

5-8 months. Survey data is collected during the period January-March in the given year, and is published in provisional form, usually in August of the same year.

Adult Social Care Survey (part of the adult social care data collections managed by the Information Centre – see http://www.ic.nhs.uk/services/social-care/social-care-collections/user-surveys/user-survey-guidance-2010-11)

Survey-based data. Official statistic – status as National Statistic is to be reviewed.

Around 6 months from occurrence of incidents

National Reporting and Learning Service Official statistic

National Curriculum test marking.

Performance Tables

National Statistic.

Around 6 months from occurrence of incidents

Published in December following the academic year

National Statistic – local authority and national levelOfficial Statistics – school level

The provisional data are published down to local authority level in the October following the academic year. The data are then checked by schools and the amended data are available in the following January and are published down to school level.

National and Local Authority data – National StatisticsSchool level data – Official Statistics.

Data published in March relate to performance up to the end of the previous academic year.

DfE Young Person’s Matched Administrative Dataset, an extract of the National Pupil Database created by matching data from the School Census, the Individualised Learner Record, and awarding body achievement data. More information is contained in the SFR here:

Official StatisticData published in March relate to performance up to the end of the previous academic year.



The provisional data are published down to local authority level in the October following the academic year. The data are then checked by schools and the amended data are available in the following January and are published down to school level.

Performance Tables

www.education.gov.uk/performancetables/schools_10.shtml

National and Local Authority data – National StatisticsSchool level data – Official Statistics

National Pupil Database National Statistic


December following the end of the academic year

December following the end of the academic year

National Statistic


National Statistic

Data published in March relate to performance up to the end of the previous academic year.



December following the academic year.

Data is published in June relating to participation at the end of the previous calendar year.

Administrative data, compiled by DfE, from schools (PLASC), and from colleges and work based learning providers (via Individualised Learner Record [ILR]), and population figures from the Office for National Statistics

Official Statisticsa) The data are published in the December after the academic yearb) The data are published in the January after the academic year

Performance Tables:

www.education.gov.uk/performancetables/

Data for an academic year are usually released in the following March.

Data are collected as part of the School Census, details can be found at the following link:

http://www.education.gov.uk/schools/adminandfinance/schooladmin/ims/datacollections/schoolcensus/a0064400/school-census-2011

Pupil absence data are published as National Statistics

To be confirmed

1 month Official Statistic

0 0

Performance Tables

www.education.gov.uk/performancetables/schools_10.shtml

These data have not yet been published - it is envisaged they will be official statistics.

Department for Education. Edubase (for total school and institution numbers). Edubase extracts to be taken on the last day of each quarter (30 June 2011, 30 September 2011, 31 December 2011 and 31 March 2011).

The methodology behind the compilation from all sources, also agreed with the UNFCCC, takes some time to work through and final results for the calendar year 2010 were published in February 2012. Results for 2011 will be published in early 2013.

Official Statistics

Data are published typically 4 to 6 weeks after the end of the period

Office of Rail Regulation Data Portal: http://dataportal.orr.gov.uk/

Rail periodic data are management information, the quarterly and annual data are official statistics.

Annual results are published on a calendar year basis approximately 7 months after the year end.

National Travel Survey https://www.gov.uk/government/organisations/department-for-transport/series/national-travel-survey-statistics

The figures in this impact indicator are National Statistics

Approximately 5 months. The data are published in the September after the end of the financial year.

The data are supplied by local authorities and published by the Department for Transport. The data collection is included on the Single Data List, a central list of all data required by central government from local authorities, which is held by CLG.

National Statistic.

Four months. National Statistics.

Publication of performance will take place around 5 6 weeks ‐after the end of each month. This period allows for the collation, processing and validation of the statistics to take place. Publications will be pre announced in line with ‐National Statistics requirements.

Data is sourced from the Highways Agency’s Highways Agency Traffic Information System (HATRIS) database. This contains journey time data from Automatic Number Plate Recognition (ANPR) cameras, Motorway Incident Detection Automatic Signalling (MIDAS) inductive loops and in vehicle Global ‐Positioning System (GPS). HATRIS also contains traffic flow data from automatic count points.

Aggregated data for complete network – National Statistic

Disaggregated data for individual sections of the network – Management Information

6 months after the end of the period concerned.

Police reported road accident statistics – see http://www.dft.gov.uk/pgr/statistics/datatablespublications/accidents/casualtiesgbar/ for STATS19 report form and STATS20 instructions for completion.

DVLA and DVA Vehicle Databases. The official statistics derived from these databases are published here: https://www.gov.uk/government/organisations/department-for-transport/series/vehicle-licensing-statistics

Official statistics.

National Statistics

Official statistics

Official statistics

Official statistics

About 7 months from the end of the calendar year

DfT Accessibility Statistics. The latest publication, including guidance on all data sources, is available at: http://www.dft.gov.uk/statistics/series/accessibility/

Published within two months of the end of the reporting period

P2 quarterly house building returns by local authority building control departments; and monthly information from the National House Building Council (NHBC) on the volume of building control inspections. Published figures are at http://www.communities.gov.uk/housing/housingresearch/housingstatistics/housingstatisticsby/housebuilding/publicationsonhousebuilding/.

Published within seven months of the end of the reporting period

Housing Flows Reconciliation returns from housing authorities outside London; London boroughs data from the Greater London Authority. Published figures are at http://www.communities.gov.uk/housing/housingresearch/housingstatistics/housingstatisticsby/netsupplyhousing/.


Homes and Communities Agency - Investment Management System and other programme information. Published figures are at http://www.homesandcommunities.co.uk/six-monthly-housing-statistics.


National Energy Performance Certificate Register. Published figures are at http://www.communities.gov.uk/housing/housingresearch/housingstatistics/housingstatisticsby/environmentalperformance/.

National Statistics

National Statistics

National Statistics

National Statistics

Published within three months of the end of the reporting period

P1E returns from housing authorities. Published figures are at http://www.communities.gov.uk/housing/housingresearch/housingstatistics/housingstatisticsby/homelessnessstatistics/publicationshomelessness/.

Published around three months of the end of the reporting period

Fire and Rescue Incident Recording System. Published figures are at http://www.communities.gov.uk/fire/researchandstatistics/firestatistics/firestatisticsmonitors/.

Provisional figures published within five months of end of the reporting period, with final figures being published within eight months of end of the reporting period.

Revenue Summary and Revenue Grant returns to DCLG (part of the Revenue ouuturn suite). Published figures are at http://www.communities.gov.uk/localgovernment/localregional/localgovernmentfinance/statistics/revenueexpenditure/.

Published within three months of the end of the reporting period.

PSF returns from planning authorities. Published figures are at http://www.communities.gov.uk/planningandbuilding/planningbuilding/planningstatistics/statisticsplanning/.

Data required to complile this measure are available approximately 11 weeks after the period to which they refer.

ONS Public Sector Employment and ONS Labour Force Survey (LFS) (see 'further guidance' and 'geographical coverage' below).

Mix of Administrative and Survey data (see Further guidance below)

Labour Force Survey Official Statistics

2 years – as the OECD collects data across its member countries, there is a significant time lag – so the 2010 OECD publication related to 2008 data. However this is the most robust international comparison that is made and there is historical data which allows us to determine trends.

A useful interim measure is to look at the England statistics showing the percentages of the population aged 19-59/64 qualified to each of Level 2 and above, Level 3 and above, Level 4 and above. We propose also including this information in the indicator.

OECD – Education at a Glance (from Labour Force Survey in each country)

Data relating to England are National Statistics.

Published within 3 months of the end of the period to which they refer

Indicator under development Indicator under development

Database

1 year as data records have to be matched

The matched National Pupil Database, HE Student Record and the Individual Learning Records (includes key stage attainment records and learning aims data)

Official Statistic (Widening Participation Statistic)


Not a time series - see further guidance

BIS report on the International Comparative Performance of the UK Research Base

2 year UK Innovation Survey Survey


c.6 months Survey


Survey conducted each summer from June onwards, global results (including headline UK TEA) follow in January, UK detailed results (including England breakdown) in March.

The Global Entrepreneurship Monitor (GEM) is a not-for-profit academic research consortium that has as its goal making high quality information on global entrepreneurial activity readily available to as wide an audience as possible. GEM is the largest single study of entrepreneurial activity in the world. Weblink - http://www.gemconsortium.org/

Survey - not national statistic. GEM UK is managed by Dr Jonathan Levie (Univ. of Strathclyde) and Prof. Mark Hart (Aston University). Survey relies on external sponsorship and BIS Enterprise Directorate contributes each year (and previously RDAs).

World Bankhttp://www.doingbusiness.org/rankings

Government Impact Assessments.

0

2 years National Accounts

4 months

As the data may summarise a large number of Government legislation entering into law it may not be clear the exact time lag although it should be only a few months.

Government estimates of cost and benefit on business.

OECD Indicators of Employment Protection: http://www.oecd.org/document/11/0,3746,en_2649_37457_42695243_1_1_1_37457,00.html#latest_update and supplementary information from BIS Labour Market impact assessments.

OECD Indicators are compilation of employment protection implications across countries presented in a 0-6 scale. Supplementary information represent BIS estimates of costs and benefits to business of employment legislation.

OECD (2010), "Macro trade indicators", OECD Statistics on Measuring Globalisation (database).doi: 10.1787/data-00357-en

www.oft.gov.ukwww.competition-commission.org.uk

The data is as a result of evaluation of the work of OFT and CC

National statistic

2 months

8 months National Statistic

2 months

2 months Sample Survey

4-month lag between the period the data relate to and when quality assured data are published as National Statistics

Police recorded crime data come from police forces.

Organised Crime Group Mapping database (compiled by law enforcement partners e.g. SOCA, ACPO, HMRC and UKBA); Threat Reduction Boards to supply data on the number of assessed disruptions.

Intelligence and management information

http://www.statistics.gov.uk/pdfdir/mig1110.pdf

http://www.ukba.homeoffice.gov.uk/aboutus/our-performance/

Management Information


2 months

Quarterly 2 months

Maximum of 6 weeks Finance

Survey.




Data automatically derived from PASS - a bespoke IPS system

As the data will be collected through surveys on an annual basis, the time lag between publication and the period the data relates to is minimal, certainly less than a year and likely to be around 6 months. (The baseline position is from data collected between 2009 and 2011)

The data will come from ad-hoc surveys commissioned by Home Office/Government Equalities Office

1 year and 9 months National Statistic

1 year and 9 months Police National Computer, Prison data National Statistic

Official Statistics

Police National Computer, prison data, probation data, Home Office data on Drug Misusing Offenders and Priority and Prolific Offenders

Statistics published approx 4-5 months after the end of the period the data relate to.

MoJ extract of the Police National Computer

CaseMan administrative system. National Statistics

Criminal Offence Gateway database

- - -

Statistics published approx 3 months after the end of the period the data relate to.

Crown Court data from CREST-MIS administrative system. Magistrates' courts data from Libra administrative system. Civil Proceedings data from CaseMan administrative system. Care Proceedings data primarily from FamilyMan administrative system, plus summary returns from some Family Proceedings Courts. Tribunals data from Tribunals case management system.

National Statistics for Crown/Magistrate/Civil and Care proceedings, Officials Statistics for Tribunals

Statistics published approx 3 months after the end of the period the data relate to.

Initially 9 months. As new output improvements will be made over time


- - -

- - -

- - -

- - -

- - -

- - -

- - -

- - -

- - -

3 - 6 months, after the end of the Financial Year

Project records on UKTI’s Customer Relationship Management system (CRM).

Survey: Via independent survey of a random sample of the reported involved successes. The survey collects data on project characteristics which are used to classify the projects as “high value”, or “good quality”, or other. The fraction of projects classified in each category is then grossed up to provide estimates of the total number of involved successes which are “high value” and “good quality”.

3 - 6 months, after the end of the Financial Year

Service Delivery records on UKTI’s Customer Relationship Management system (CRM).

Survey: Via independent analysis of data from UKTI’s CRM and from the administrative records of businesses who have paid for trade development support under the Overseas Market Introduction Service (OMIS). The analysis is carried out by an independent market research specialist.

To be confirmed.

BNEF data is collected quarterly. The WEO collects this data for a year and uses it to project the gap over a number of years.

Bloomberg New Energy Finance / World Economic Outlook

International organisation estimate.

12 months between World Governance Indicators updates.One month between Parliamentary updates.

World Bankhttp://info.worldbank.org/governance/wgi/index.asp

Official, published statistical data in addition to expert opinion on progress.

University of Bradford, in partnership with Saferworld.

UK organisation estimate.

Currently a two week lag in reporting last months statistics.

FCO Consular satisfaction surveys covering Assistance, Services and Detainees.

FCO survey managed internally by the FCO.

International data has a 2-3 year time lag i.e. 2010 publication has 2007 data. Data from Govt systems are likely to be more up-to-date.

DFID spend data are from ARIES and spending through government will be broken down by general budget support/sector budget support or any other financial aids. Partner country expenditure data can be sourced from Govt systems (Ministry of Education or Ministry of Finance) which are fed through to UNESCO Institute for Statistics (UIS) that are then made available in percentage share terms via its Data Centre. For some countries World Development Indicators may have data not available elsewhere. Data for the number of children enrolled in the primary system will be available from country EMISs and are fed through to UIS and presented using ISCED. It is preferable for the most recent data to be used which is likely to come direct from national rather than international systems, though ISCED classifications should be used.

UIS data = international data. Partner Government data = management/ admin data from education ministries or national statistics offices. DFID expenditure data = National Statistic.

Approximately 6-12 months Through bilateral support:1. Routine distribution- through a variety of channels, for example antenatal care and social marketing supported by the Ministry of Health. This is monitored through National Health Information Management Systems.2. Distribution campaigns- through campaign reports by a) the MoH or b) by DFID supported NGOs including annual reports by NGOs. This will be done by country offices using MoH and DFID funded programme reports and will then be recorded.

Through multilateral support:UK contributes funds to WHO, UNITAID, UNICEF, Global Fund (GF) and World Bank – who support bednet distribution programmes and projects. They monitor and report on this internationally recognised indicator and provide a breakdown of ITNs procured and distributed.

Partner government data = management/ admin data. Distribution campaigns = campaign reports. Multilateral data = reports on ITNs distributed.

The time lag between project data and published data such as the JMP may be up to 2.5 years since JP data is only collected bi-annually.

Provision should be included in projects and programmes for the collection of data on increased sanitation directly attributable to the intervention. This will normally be the primary source of project and programme data. Where water and sanitation results are delivered through health and education programmes, particular attention will be needed since such programmes would not normally collect these types of data.

Data on household size, where needed, should be determined from recent national census data.

In the case of sector and budget support it may be preferable to utilise national statistical data. Sanitation coverage is a key indicator that we would expect to be included in partner countries national statistical record and which would provide the basic data required. We would therefore encourage this data to be collected at a frequency of less than 5 years.

The Joint Monitoring Programme of WHO/UNICEF collates country data every 2 years to provide a consistent and reliable international database of coverage. This provides a useful reference to assess the validity of country data. ( http://www.wssinfo.org/ )

Results frameworks of multilateral organisations such as World Bank (including Water and Sanitation Program), Asian Development Bank, African Development Bank and UNICEF.

DFID = Project monitoring and evalutions. UNICEF/WHO JMP = International data. Partner government data = Survey/ census data. DFID expenditure data = National Statistic.

I year

1 financial year

Data will come from:• DFID project monitoring and evaluations• National statistics such as data published by the country’s central bank, national survey organisation, ministry of finance, industry associations etc. • International datasets such as Financial Access dataset from CGAP, World Bank Working Group on International Remittances, International Monetary Fund, CGAP Microfinance Information Exchange etc.• Government systems• Official agency surveys• FinScope or financial access surveys

DFID direct results = projects monitoring & evaluations Partner government data = national statistics / surveys

Relevant country Election Commission data, if available. Otherwise, DFID will rely on next best source. This can vary according to context – final figures may be approximations from, for example, electoral observation groups, or domestic NGOs. Official data may not be available, depending on the context, Worst case scenario is estimates from DFID Governance Advisers. National Assembly elections are normally held every few years, typically every 4 or 5 years, according to a country’s constitution.

Developing countries Election Commission data

Up to/more than 1 year Monitoring and Evaluation of DFID projects, ARIES for DFID spend and partner governments for national spend. Percentage of SBA attended births will be obtained by RHR/WHO on an annual basis and approved by countries in line with normal World Health Statistics publication guidelines. This will be based on country level data and reporting or, where this is not available, modelling by WHO.The number of live births will be obtained by UN Population Division World Population Prospects Database. Annual estimates are available direct from WHO. If WPP is updated less than annually, the trend for this indicator may need to be updated when new WPP data is available.

DFID direct results = projects monitoring & evaluations. RHR/ WHO data = Interntational data. UN Population Divison data = international data. DFID expenditure data = National Statistic. Partner government data = management/ admin data.

More than 1 year. In July we may only be reporting on a small amount of Fast Start Finance, which falls outwith International Climate Fund resources currently being programmed.

Monitoring and evaluations of DFID projects. In some cases (eg programmes in Bangladesh) the data will be generated through project-specific surveys. Where DFID programmes are operated through government (e.g. the Ethiopia PSNP), the data will come from separate commissions. It may be also possible to obtain further information from the UN system, especially on disaster-risk reduction programmes in operation.

DFID direct results = projects monitoring & evaluations

2 months (i.e. data for position at beginning of Jan published in Mar)

http://www.decc.gov.uk/en/content/cms/statistics/energy_stats/en_effic_stats/home_ins_est/home_ins_est.aspx

Experimental Official Statistics

National Statistics



National Statistics

NDA Annual Report and Accounts

National Statistics

17 months, 2010 data published in May 2012

http://www.decc.gov.uk/en/content/cms/statistics/fuelpov_stats/fuelpov_stats.aspx

http://www.decc.gov.uk/en/content/cms/statistics/source/renewables/renewables.aspx

http://www.decc.gov.uk/en/content/cms/statistics/publications/brief/brief.aspx

Addressing projected emissions (2020) with an annual appraisal based on estimates up to that point.

UNEP: http://www.unep.org/publications/ebooks/bridgingemissionsgap/

Statistic generated from public source

14 months, final 2010 data published in February 2012 with provisional 2011 data published in March 2012

http://www.decc.gov.uk/en/content/cms/statistics/climate_stats/gg_emissions/uk_emissions/uk_emissions.aspx

4 months, prior financial year data published in NDA Annual report and Accounts in July

NDA Annual Report and Accounts

7 months, provisional 2011 data published in March 2012 with final 2011 data published in July 2012

http://www.decc.gov.uk/en/content/cms/statistics/publications/dukes/dukes.aspx

Official Statistic - OS



Data published by July of the year following the reference year (6 months).

Main data sources are the Annual June Survey of Agriculture, Cereal Production Survey, British Survey of Fertiliser Practice and Cattle Tracing Scheme.

The index is published a year following the reference year.

The farmland birds index is based on data collected through the BTO/JNCC/RSPB Breeding Birds Survey, combined with data from other birds surveys. The index is compiled by RSPB/BTO under contract with Defra.

National Statistic - NS

Published four months after the year to which the latest data relate and one month after receipt of final data items.

Defra (plus supporting boards and agencies)

Virtually no lag due to use of live administrative data from the Genesis database.

Natural England Genesis database. This is the administrative system for recording details of agreements under Stewardship schemes. Utilised agricultural area figure is based on the 2010 estimate from the June survey of Agriculture.


6-7 months Local Authorities

3 months Official Statistic - OS

Three years' monitoring data are used in compiling each year's figures in order to reduce the uncertainty inherent in environmental monitoring. 2009 results are an exception, covering data from 2004 - 2008 to ensure sufficient coverage of Quality Elements. The results are available in the Autumn of each year - about 9 months after the most recent set of samples are taken to allow for analysis and assessment of the data. For example, 2010 results cover data collected from 2007 - 2009.

Existing data from the Environment Agency's Water Framework Directive monitoring program.

National Statistic - NS

TB statistics are published on the Defra internet site.

Defra website Official Statistic - OS

Financial data.

Finalised and validated quarterly figures on numbers of homes protected in a quarter are usually available around two months after the end of each quarter.

Approximately 3 months from end of fieldwork period.

Taking Part Survey (http://www.culture.gov.uk/what_we_do/research_and_statistics/4828.aspx)

Social Survey - National Statistic

Three to four months after the end of the financial year for statutory accounts, around 3-6 months for RFO annual submission, and around 8 months for sponsored Museums and Galleries performance indicators.

For EH, British Library and BFI their Individual organisation's statutory accounts, for and the National M&G their annual performance indicator on fundraising; for ACE the RFO Annual Submission

Various An official statistic

Best-in-Europe scorecard An official statistic

Two years but more up to date estimation is possible

Different lags for different data sources, but ~1 year on average

Data is available approximately 6 months after the event. For example the 52 week off flow rate to employment for the January 2010 on-flow cohort will not be available for publication until June / July 2011

Data collected as follows:Raw HMRC P45 data collected by HMRC and sent to IFD in DWP monthly.Raw benefits data collected internally by IFD in DWP

Data not currently published. Measure is constructed using a combination of DWP benefits admin data and HMRC P45 admin data

National Statistics

Household Labour Force survey (HLFS) National Statistics

The table is published approximately 5.5 months after the reporting point.

However, the Department also produce early estimates of the “Employment & Support Allowance and incapacity benefits” and the “Lone Parents on IS” groups (see: http://research.dwp.gov.uk/asd/index.php?page=early_ests). Whilst these estimates are missing the “Others” group and are estimates rather than final National Statistics, they can provide a useful early view.

Administrative data from benefit processing computer systems

Around 2/3 months after end of reference quarter i.e QRT2 / QTR4

Six weeks Labour Force Survey (collected by ONS) Survey data

Survey - Labour Force Survey Available approximately 6 weeks after the end of the quarterly period

Survey / Management Information

National Statistics

Published one year after the end of the survey period

Survey - source is Family Resources survey

Survey – source Family Resources Survey

8 month time lag to publications

Sample survey of approximately 35,000 cases. 95% confidence level

Survey data

Data available around a financial year and published within 2 months of the financial year ending

Survey data - source Family Resources Survey

Survey data - source Family Resources Survey

Impact indicator results available 14 months after period of data

Survey – Annual Survey of Hours and Earnings (ASHE). This is an Office for National Statistics (ONS) Survey

Uses ONS Labour Force Survey data (UK)

Survey data

- - -

Published within one month after the end of the quarterly period

Existing data is a National Statistic based on the ONS Labour Force Survey data UK

Six months from the end of the survey period

JCP - survey data from 2800 telephone interviews PDCS - survey data from a minimum of 5000 telephone interviews

Around six months.

Cyclically adjusted fiscal balances are published twice a year at major fiscal events including at the Budget, and now, at forecasts by the Office for Budget Responsibility.

Outturn data for surplus on current budget is updated monthly in the Public Sector Finance release, jointly produced by the HM Treasury and ONS. Whilst, cyclically-adjusted current balance is produced by the OBR twice a year.

Cyclically-adjusted current budget is produced by the OBR, based on HM Treasury estimates of the output gap.

This data is collected and published on a monthly basis by the Office for National Statistics

The Office for National Statistics produces outturn figures for this measure on a monthly basis. The Office for Budget Responsibility produces forecasts of PSND twice a year, for five years ahead

The Office for National Statistics and HM Treasury. Data published monthly in the Public Sector Finance Release, produced jointly by ONS and HMT, available at http://hm-treasury.gov.uk/national_statistics.htm

DEL outturn data will be published every July.

Outturn data is available approximately 3-4 months after the end of the financial year.

DEL plans will be taken from the Budget. DEL outturn will be published in the Public Expenditure Outturn White Paper (PEOWP)

GDP per capita (adjusted for inflation) is published in the annual ONS Blue Book.

See Table 1.5 of the Blue Book 2010, available online at: http://www.statistics.gov.uk/downloads/theme_economy/bluebook2010.pdf.

2 months

n/a

Quarterly n/a

Quarterly n/a Bank of England

Data are collected quarterly and published monthly as a three-month moving average.

Labour Force Survey It is a random household survey of approximately 53,000 households every three months conducted by the Office for National Statistics. As well as privatehouseholds, the survey includes people living in student residence halls and National Health Service accommodation.http://www.statistics.gov.uk/StatBase/Product.asp?vlnk=15084

Ongoing (comparisons Annually)

1. HMRC/HMT management information2. Comparisons from OECD Tax Database based on national tax systemswww.oecd.org/ctp/taxdatabase

FT Global 500 http://www.ft.com/reports/ft500-2010

On request from UKFI none UKFI

0 0 0

On request from UKFI None UKFI

On request from UKFI None UKFI

On request from administrator None Administrator

noneon request from administrator and FSCS

Administrator and FSCS

On request from UKFI none UKFI

0 none DMO

0 RBS/APA

Bank's discretion Bank of England

Quarterly - Published in RBS's results

No public commitment by Bank to reporting on a frequent basis

Robustness and data limitations Collecting organisation Office for National Statistics (ONS)

ONS collects the raw data

Confidence intervals for the SII indicators should be available when ONS publish the next data update.

General Lifestyle Survey data used for disability component of DFLE at birth is based on proxy interviewing for children.

We will review the indicators in the light of discussion on the most appropriate health inequality indicators as part of the public health outcomes framework consultation.

Linked birth notification and birth registration are robust. However, quality of data for tabulations on birthweight by gestational age, disaggregrated by socio-economic classification of father/mother at sub-national level are currently unknown. ONS will be publishing a quality report on this in October 2011.



- -

To be determined as collection is developed.

Linked birth and death registration datasets are robust. However, disaggregration by socio-economic classification of father does raise issues around limitations of the data as the indicator excludes 16.2% (2009 figures) of all low birth weight live births. This figure comprises low birth weight births for all sole registered births (used as a proxy for lone parenthood as many of the mothers who register a birth where the father is not present on the birth certificate are lone mothers) and where the socio-economic classification is unknown for father of joint registration births (inside/outside marriage).

Linked birth and death registration datasets are robust. However, disaggregration by socio-economic classification of father does raise issues around limitations of the data as the indicator excludes 16.2% (2009 figures) of all low birth weight live births. This figure comprises low birth weight births for all sole registered births (used as a proxy for lone parenthood as many of the mothers who register a birth where the father is not present on the birth certificate are lone mothers) and where the socio-economic classification is unknown for father of joint registration births (inside/outside marriage).

The indicator is constructed from well-known robust data sources – ONS mortality and population statistics.

ONS collects the raw data. We expect the Information Centre for Health and Social Care (NHSIC) to calculate the measure, but this has not yet been confirmed.

GPPS – Ipsos Mori; HSE – NHS Information Centre

N/A NHS Information Centre

N/A NHS Information Centre

Guidance for the survey sets a minimum level of accuracy that councils should achieve (+/-5% CI).

The survey is conducted by local authorities with adult social services responsibilities. Data is collected by the Information Centre, who calculate the indicator.

Ipsos MORI

N/A CQC

National Patient Safety Agency

There had been some concerns that the survey at practice level is too small for the results to be statistically valid. The sampling methodology for the survey for 2011/12 onwards has been designed to achieve the best possible number of returns to the survey per practice. Results as practice level will only be published based on 2 collections of data and from June 2012 will be published on a rolling six monthly basis to ensure sufficient responses to be valid at practice level. Given the current sampling methodology an average practice can expect to see 95% confidence intervals in the range of 8-9% based on a 50% positive response to any particular question. Therefore calculation of the indicator will be on an annual basis to prevent data overlapping each time.

Guidance for the survey sets a minimum level of accuracy that councils should achieve (+/-5% CI).

The survey is conducted by local authorities with adult social services responsibilities. Data is collected by the Information Centre, who calculate the indicator.

Increasing numbers are likely to reflect better reporting at the moment. On-going work is required to appropriately interpret the value of this indicator.

National Patient Safety Agency

Department for Education

Increasing numbers are likely to reflect better reporting at the moment. On-going work is required to appropriately interpret the value of this indicator.

Link to the statement of administrative sources which outlines the data available, its limitations and robustness.

http://www.education.gov.uk/rsgateway/datasources.shtml

Curerntly Qualification and Curriculum Development Agency (QCDA)

Link to the statement of administrative sources which outlines the data available, its limitation and robustness.

www.education.gov.uk/rsgateway/ns-sp-adminsourcesv5.xls

Link to the statement of administrative sources which outlines the data available, its limitations and robustness

(www.education.gov.uk/rsgateway/ns-sp-adminsourcesv4.xls).

Department for Education collects the data from schools (School Census), awarding bodies, and the FE Data Service (ILR). These are then matched together by contractors. DfE calculate the outturns


Link to the statement of administrative sources which outlines the data available, its limitations and robustness


Department for Education collects the data from schools (School Census), awarding bodies, and the FE Data Service (ILR). These are then matched together by contractors. DfE calculates the outturns.





Link to the statement of administrative sources which outlines the data available, its limitation and robustness







Department for Education collect the data from schools (School Census), awarding bodies, and the FE Data Service (ILR). These are then matched together by contractors. DfE calculate the outturns





DfE collect the data from schools (PLASC), awarding bodies, and the FE Data Service (ILR).






http://www.education.gov.uk/rsgateway/datasources.shtml



0 DECC



Given it is a straightforward measure of numbers of schools in particular categories there unlikely to be any issues around the robustness of the data.

DfT

See notes published by ORR to accompany the statistics.

Moving Annual Average (MAA) figures have been included in the indicator table to smooth out short-term fluctuations and highlight the annual background performance.

Network Rail’s data are collated and published by ORR.

As the results are forma sample survey there is a standard error assoiciated with each estimate. Standard errors and confidence intervals for some of the key NTS variables are published at

Local authorities are given guidance to ensure consistency across the country. However, as with many collections of this type there are likely to be inconsistencies between individual returns, as the measurement process is managed locally.

The data are supplied by local authorities and published by the Department for Transport.

As a National Statistic, the measure will be produced and validated by Government statisticians.

The data for individual sections of the network are not sufficiently robust to be presented as official statistics so are currently released instead as ‘Management Information’. This is due to the data being drawn from a number of different sources, making comparisons between different sections of the network difficult. These disaggregated data should therefore be treated with caution.

The Department is working with the Highways Agency to address the issues around comparing reliability for different sections of the network. It is likely that any actions to address these issues will also require some historic adjustment to the national series although the trends reported in national reliability to date are unlikely to change.

Highways Agency/Department for Transport

Police data provide information about the accident circumstances (including location), vehicles involved and the resulting casualties. Comparisons with death registrations show that very few, if any, fatal accidents do not become known to the police. Further information can be found in an article in Reported Road Casualties Great Britain Annual Report: 2008, Article 5, pages 59 79. ‐http://www.dft.gov.uk/pgr/statistics/datatablespublications/accidents/casualtiesgbar/rrcgb2008

The numbers will be relatively small for more detailed breakdowns of the total and may therefore fluctuate from year to year making assessment of trends difficult.

The data are collected by police at the scene of an accident or in some cases reported by a member of the public at a police station. Initial processing is by police or local authorities and the data are then aggregated, validated, analysed and published quarterly by DfT

The data come from the DVLA Vehicle Registration Database so although there are some inaccuracies, these are only for a very small proportion of the vehicles.

DVLA and DVA collect the underlying data. The Department for Transport aggregates the data and produces the output statistics.

DCLG

DCLG

Homes and Communities Agency

Data from 2007 onwards have been compiled using consistent methods. However, there have been improvements in data quality and coverage during these years, so changes in reported accessibility may not be attributable entirely to local transport interventions. Only registered public transport services are included in the Accessibility calculations. This means Demand Responsive Transport, other flexibly routed services, and school transport services are usually not included. Therefore, especially in rural areas, Accessibility Indicators are likely to be an underestimate of actual accessibility. Further details are published with the statistics (see Data source field).

Department for Transport aggregates the data and produce the output statistics

The P2 figures include imputation for a small number of missing returns: in the March quarter 2010, a 93 per cent local authority response rate was achieved. DCLG has been working closely with the NHBC to review the mechanism for reporting and incorporating its data alongside the P2 data. As a result, several improvements have been made to the way in which the data are processed. Headline data do not currently include the approximately 4% of completions inspected by other independent Approved Building Control inspectors, but DCLG is working to rectify this.

The HFR figures include imputation using data from P2 returns for a small number of missing or non-finalised returns. In 2009-10, a 96 per cent response rate was achieved. In addition to the data included in the quartely completions figures, the new build completions element include dwellings inspected by Independent Approved Inspectors as well as by the National House-Building Council and local authority building control.

Does not include all affordable housing starts and completions because some will be delivered outside the HCA role.

Average figures are volatile due to a number of factors including the small number of new homes being assessed, the mix of dwelling types, the mix of heating systems used in new developments and the location of those developments.

Landmark Information Group, for DCLG

DCLG

DCLG

DCLG

DCLG

100% returns have been consistently achieved on this indicator in recent years. All returns undergo thorough validation and anomolous data are highlighted and verified by contacting the local authority.

Scope is all casualties at fire incidents attended by Fire and Rescue Services.

The figures are subjected to rigorous pre-defined validation tests both within the relevant form itself, while the form is being completed by the authority, and also as the data are received and stored.

The returns submitted by local planning authorities undergo thorough validation and checks. Inconsistent data highlighted during validation and checks are verified by contacting the local authority. Late returns are pursued to ensure the overall response rate is as high as possible. Where a response rate of 100% is not achieved estimates are imputed for non-responding authorities.

The PSE data and the unemployment and inactivity estimates from the LFS are National Statistics. The PSE data is used with total employment from the LFS (which is not published by region on a workplace basis but will be supplied to BIS for publication) to provide an estimate for private sector employment by region (of workplace). Unemployment and Inactivity data come from the LFS on a residence basis. Due to the different basis (workplace/residence) a loss of jobs in one region may lead to an increase in unemployment/ inactivity in another.

PSE statistics are compiled from a range of sources. The primary source is the Quarterly Public Sector Employment Survey (QPSES) which comprises three separate data collections. QPSES is a census of relevant public sector organisations so is not subject to sampling error but there is potential for small amount of non-response error). The Labour Force Survey is a household survey and so survey sampling errors will exist. Discussions are ongoing with the ONS to ensure we fully understand the data and its limitations and to obtain confidence intervals.

ONS (Contact for LFS is Mark Chandler - 01633 455995 and contact for PSE estimates is David Matthews - 01633 456756)

ONS

These are OECD statistics and not produced within the UK statistical system.

But BIS do re-present the key statistics, alongside the more up to date England indicators, within the National Statistics First Release on Post-16 Further Education and Skills.

ONS (for UK data); OECD for international comparison

The established official statistics series being used includes all relevant activities, regardless of duration, as reported by respondents to the LFS. The series is well-established and stable. Revisions to LFS weighting from time to time will result in (usually) relatively minor revisions to the series.


Commisioned by BIS

The data is an official statistic. Due to the nature of the ‘fuzzy matching’ deployed, these are estimates as there is a small degree of statistical error. Rounding Limitations are:• A raw statistic that does not reflect levels of prior attainment or other relevant benchmarking characteristics of the young person• As an income-based statistic, numbers may be affected by wider economic conditions as much as HE policy• Coverage, the NPD does not cover independent school pupils as individual level pupil data is not available• Those who were in receipt of FSM represent the poorest group of pupils (around 14% of pupils in our dataset were eligible for FSM). This measure does not allow us to separate out those whose families are between the poorest level and the ‘average’ level. This is clearly also a group which would benefit from widening participation policies• The FSM variable only tells us whether or not a pupil was actually in receipt of FSM. There could potentially be more pupils who would be eligible for FSM but who did not make any claim• The coverage of this measure is currently limited to young entrants. However, as more data is linked, we will be able to track students entering HE in later years, i.e. age 20, 21 etc− A degree of “churn” in the number of 15 year olds who may eligible for FSM one year but not the next

Schools, HEIs and FE Colleges collect the data. BIS collates, calculates and publishes the FSM measure

Widely accepted indicator of comparative research performance. Caveats on journal and regional cover are less important at the aggregate national level than when comparing HEIs or Researchers.

Sample Survey ONS on behalf of BIS


World Bank

BIS Enterprise Directorate, as part of the sponsorship/contract with GEM UK) have access to the raw survey data and could produce analysis to check results. Fieldwork is conducted by an independent research company (IFF Research in 2010) who adhere to industry quality standards. Data is subject to confidence intervals. UK TEA rate in the 2010 survey was 6.4% and had a 95% confidence interval of around 1% point

Currently University of Strathclyde and Aston University in collaroration with IFF research ltd (interviews)

See metholodly note:http://doingbusiness.org/methodology/methodology-note

BRE

Drawn from National Accounts of OECD member states

OFT and CC

Impact Assessments are assessed by the RPC. If the robustness of the IA is not sufficient it is rejected and must be reconsidered by the Government Department.

Methodology note for OECD indicators can be found at http://www.oecd.org/dataoecd/24/40/42740190.pdf . Impact assessment data is quality checked by internal peer review processes and the Regulatory Policy Committee

OECD, supplementary information: BIS

OECD ANA, OECD ITCS, OECD ALFS databases

The estimation methodology has been assessed independently (available here : http://www.oft.gov.uk/shared_oft/reports/Evaluating-OFTs-work/oft1164.pdf)For markets work, there is not a fully robust methodology for calculating benefits of intervention, but the benefits presented relate to the scope of harm in the market that is being investigated. The department will continue to look at this area and ensure that the most appropriate methodology is used to assess the consumer benefits of competition work

Home Office Statistics

n/a ONS

UK Border Agency

This indicator covers only those crimes that are reported to and recorded by the police - it is not a full measure of crime. All recorded crimes must comply with the Home Office Counting Rules and the National Crime Recording Standard. From March 2011, HMIC will begin quality assuring police incident and crime data to ensure that the national standards are complied with across the police service. Furthermore, the National Statistician is currently reviewing crime statistics with a view to making further recommendations in April 2011 to improve their robustness

Much of Organised Crime is hidden and hence is difficult to quantify. The Organised Crime Group Mapping database is based on intelligence data, i.e. law enforcement agencies' knowledge of individuals and groups. It may include individuals who have not been convicted of a criminal offence. The assessment of 'disruption' will be subject to the quantity and quality of the information available to and provided by law enforcement partners, it is likely that this information will often be incomplete and occasionally inaccurate. Disruption panels will be required to adhere to a consistent 'disruption assessment tool', with appropriate QA provided by the Threat Reduction Boards.

SOCA, ACPO, HMRC, UKBA data compiled by the Multi-agency team hosted by SOCA

Data obtained and quality assured using robust internal processes. In the UK Border Agency, data quality is assessed via a Quality Assurance Framework. This is an annual assessment against seven criteria. It is conducted by the operational unit and is independently validated by a team outside the operational area.In addition, all data published must meet supplementary assurance standards prior to the publishing being authorised.

UK Border Agency and HM Revenue & Customs

Data quality is assessed via a Quality Assurance Framework. This is an annual assessment against seven criteria. It is conducted by the operational unit and is independently validated by a team outside the operational area.In addition, all data published must meet supplementary assurance standards prior to the publishing being authorised.

UK Border Agency


MI services

Government Equalities Office

Data quality is assessed via a Quality Assurance Framework. This is an annual assessment against seven criteria. It is conducted by the operational unit and is independently validated by a team outside the operational area.In addition, all data published must meet supplementary assurance standards prior to publication being authorised.

Data quality is assessed via a Quality Assurance Framework. This is an annual assessment against seven criteria. It is conducted by the operational unit and is independently validated by a team outside the operational area.In addition, all data published must meet supplementary assurance standards prior to publication being authorised.

This metric assesses all applications with the exception of premium and fast track services and is derived directly from the IPS PASS system. This data is distributed to the IPS Management Team, HO, the minister and the IPS web site on a monthly basis. This data currently reports on UK passports; IPS will in future become responsible for Overseas Passports issued by FCO and these will be assessed using the same criteria of a 10 day turnaround.

The data is not an official or national statistics. The collection of data will be commissioned externally and, as such, we will ensure that it respects standard statistical requirements of validity and robustness, in order to be statistically reliable and avoid arbitrary adjustments and be validated with reference to other evidence. Data for the number of organisation who report on gender diversity is taken from a sample of private sector organisations with 250 or more employees and therefore does not include charity/voluntary sector organisations or organisations with 150-249 employees (data was not available for these organisations). We assume that the proportion of organisations with 150-249 employees who report gender diversity is the same as those with 250+ employees. The number of organisations who report their gender pay gap is based on private and voluntary sector organisations with 250 or more employees. Figures for employers with 150-249 employees were not statistically significantly different from those with 250+ employees. These data limitations will be addressed in the 2012 survey and publication.

National Statistics

National Statistics

Official Statistics Ministry of Justice

PNC: Police forces in England and Wales and managed by the National Policing Improvement Agency. MOJ carry out the analysis

PNC: Police forces in England and Wales and managed by the National Policing Improvement Agency. MOJ carry out the analysis

National Statistics

National Statistics Ministry of Justice

Ministry of Justice

- -

Ministry of Justice, via HM Courts and Tribunals Service

Counting rules are still be established to ensure consistency of interpretation across departmental returns.

- -

- -

- -

- -

- -

- -

- -

- -

- -

NAO have approved the methodology used. UKTI

UKTINAO have approved the methodology used. The analysis is carried out by an independent market research specialist.

WEOData is provided by the BNEF and the IEA, which are both internationally respected organisations. However, there remain risks:The renewables calcuation does not include any of the other types of low carbon investment that are required for the 2C. However this sector is much harder to define. There is also a risk as we are not able to directly alter this figure through our activities, which is affected by a range of different factors.Moreover, the comprehensiveness of BNEF data may be a limiting factor in the accuracy of current investment, although it remains a very good proxy.Finally, there is always a risk in scenario modelling of the type used here. The science, projections and assumptions can always be wrong. Nonetheless, the WEO is well respected as an objective and authorative publication, which forecasts to the best known situation. Since it is the trend over time that we are particularly interested in, the actual numerical accuracy of the figures may be lessened.

The aggregate indicators are based on several hundred individual underlying variables, taken from a wide variety of existing data sources. The data reflect the views on governance of survey respondents and public, private, and NGO sector experts worldwide. The Worldwide Government Indicator also explicitly report margins of error accompanying each country estimate. These reflect the inherent difficulties in measuring governance using any kind of data. Even after taking these margins of error into account, the Worldwide Government Index permits meaningful cross-country and over-time comparisons.Please refer to the Latest Data box for Standard Error statistics. The methodology uses an Unobserved Components Model (UCM) to combine the individual indicators into six composite measures of governance. The composite measures of governance generated by the UCM are in units of a standard normal distribution, with mean zero, standard deviation of one, and running from approximately -2.5 to 2.5, with higher values corresponding to better governance. The data is also reported in percentile rank terms, ranging from 0 (lowest rank) to 100 (highest rank).

World Bankhttp://info.worldbank.org/governance/wgi/index.asp

The indicator's results will be calculated by the University of Bradford and Saferworld, both of which are highly regarded and respected in the field of conflict prevention. The results will provide an independent third-party assessment of the FCO’s contribution to the UK's performance in conflict prevention, including performance in contributing to effective international institutions and capacities.

University of Bradford, in partnership with Saferworld.

DFID

The current measure is valid in terms of the customer satisfaction statistic being derived from British nationals which the FCO Consular service has assisted. The data has a representative geographical spread and covers the wide range of consular cases. The FCO also has historical trend data to help interpret increases and decreases in satisfaction. The data appears to be relatively reliable across timelines, with no extreme spikes of data.The data limitations are as follows: At present, we do not have response rate data for the consular survey. The current reporting process summarises % customer satisfaction per Post, but not the number of completed surveys nor the number of surveys administered.Due to the sensitivities of administering a survey, the number of completed surveys will always be from a smaller sample size of where it has been appropriate to administer the survey.The % customer satisfaction is currently based on one survey question. The new customer satisfaction measure will incorporate a range of factors.Although there is monthly trend data from April 2008, the new measure which will be developed will mean that forthcoming data will not be able to be tracked to the current historical data.

FCO Consular Management Information Team

The number of grades in a primary school system varies from country to country; UIS have a standardised taxonomy (6 years for primary) to enable between country comparisons. However this taxonomy is not used when collecting financial data which are collected for the entire primary system. In order to avoid an overestimate of costs for those countries with systems of more than 6 grades then the number of children enrolled in the entire primary system should be used to get a more accurate estimate of cost per child. Estimates based on results from direct outputs are not fully consistent and may suffer from double-counting.The expenditure figures do not include spending outside of government systems (Civil Society, NGOs, Private Sector and other Multilaterals) and difficult to tell what this is as a proportion of all expenditure in education for a partner country. In 2009/10 this calculation would exclude 24% (£95m) of DFID bilateral aid to education. The expenditure data includes spend on all levels of education i.e. primary and secondary education

DFIDIt does not provide information on usage i.e. whether a child is sleeping under an ITN. With support from the Office of the UN Special Envoy for malaria efforts will be made to ensure that there is no double counting of ITNs purchased through multilateral channels when distributed at country level.

DFIDThe Joint Monitoring Programme (JMP) of UNICEF/WHO collates and analyses data from a range of developing countries every 2 years. JMP uses national sources of data and a common indicator definition to estimate progress in the sector. This provides an independent assessment of country’s own estimates of progress. National programmes frequently count the number of facilities constructed. It is important to verify using other means that such facilities are brought into use for their intended purpose. When results attributable to DFID are determined by factoring overall results according to the proportion of funding provided and where this is related to identified facilities directly provided through a programme intervention there should be little risk of double counting results between bilateral and mulitlateral support. Greater care will need to be taken when policy influencing work is included when there could be a risk of double counting. Similarly where there are both budget support and programmatic suppport taking place in a country it will be important to avoid double counting.

DFID

DFID

Double counting is a problem as here as people may have more than one product and/or people may have more than one account with one provider (e.g. bank) and/or have different accounts with different providers. Disaggregating the data by product types can solve the issue of double counting across products but double counting of individuals having more than account. Data at the programme level would therefore be collected on the individuals and businesses with loans and/or deposit accounts. Project-level survey data should be robust.Calculations based on national-level survey data will contain a larger margin of error, and need to be appropriately adjusted based on local contexts and judgements. Macro data in some countries may be generally scarce, and not very reliable. G20 has set a special task force on resolving some of the methodological issues and to provide technical support to some LICs to improve collection and management of financial inclusion data. IFT will consult CGAP on the methodology they use to address this issue and adapt this methodology in refining the aggregate data.

• This indicator is not – and cannot be - fully attributable to DFID but gives a sense of impact of one area of governance support activity undertaken by DFID.• Note that annual figures will vary according to how many DFID partner countries are holding elections in any given year.• Given variability of data availability by country, reportees should state whether data are from official partner government figures or a DFID estimate.• Country offices must ensure that no duplication of voters is made, i.e. that numbers of voters in different electoral processes are counted. data may not always be up to international standards, depending on context.

DFID

DFID

SBA % and number is quality assured by WHO and partner governments.DFID attribution is quality assured internally by Health Services Team to ensure no doubling counting of results. Data on MNH results (including SBA) is weak due to weak reporting systems, especially across developing countries. However, the RMNH Business Plan coincides with renewed international attention and commitment to support countries to report on key data. DFID will support capacity building of M&E systems through country and regional support, and through the new Commission on Accountability and Information, convened by WHO.

There may be varying degrees of quality of data, from data generated by large DFID projects with good quality, to that produced by multilateral partners with their origin in government partners’ data systems, which is likely to be lower quality.

Over the coming weeks, CED will work with country offices to define a calendar for gathering information. A further technical note will elaborate in due course.We will identify mechanisms for data QA with multilateral partners (possibly using the OECD as an independent arbitrer?) by March 2011. In DFID, we anticipate that there will be 3 layers of QA: country offices, CED, and EvD.

Indicator is experimental, based on national and official statistics data. Methodology published alongside data, review currently underway.

DECC estinates based on data from Ofgem, CLG and Devolved Administrations

Not applicable - data are national statistics

UNEP

AEA

DECC

The data are National Statistics. DECC periodically publish analysis of uncertainty around the data.

Source data is collected by DCLG and DECC. Modelling is undertaken by a contractor (BRE) on behalf of DECC.

The data used for this indicator are all National Statistics. The document referred to in Further Guidance gives more information on the surveys and data collection methods.

Data used for the indicator are collected by DECC and by AEA under contract to DECC. The indicator measure is produced and verified by DECC statisticians.

National Grid and DECC collect the data. The calculation is carried out by DECC

Not a straightforward assessment but the UNEP work, by aggregating other sources is seen as the global authority on this issue. UNEP plan to update but may have a smaller sample size this year, can be affected by things not related to national ambition (e.g. economic growth). Number of policy scenario and the lower ambition options (low ambition pledges and/or looser accounting rules) could be the outcome.

The greenhouse gas inventory has well established QA/QC processes, details of which can be found on the DECC website.

Financial statements of the NDA audited by the Comptroller and Auditor General to the Houses of Parliament under the Energy Act 2004.

Shareholder Executive, working for DECC, based on data in NDA Annual Report and Accounts

The data show substantial seasonal effects which would need to be taken into account if looking at the data on a quarterly basis

Defra

Natural England, Defra.

Meets quality criteria of OECD and Eurostat. Methodology has been reviewed by external contractors (ADAS).

Farmland bird index is published as a National Statistic. To do this it must meet a number of relevant quality criteria. It is a well-established indicator with a long time series dating back to the base year of 1970. Because of annual fluctuations in bird populations, year-on-year comparisons are not statistically valid. The shortest time for valid comparison is 5 years (e.g. comparing 2003 with 2008). Any biodiversity response to policy intervention is likely to be gradual and only observable over several years, so annual change is not meaningful.

Royal Society for Protection of Birds (RSPB), British Trust for Ornithology (BTO), Joint Nature Conservation Committee (JNCC)

Regular quality assurance is provided by the quality assurance of the UK production and income accounts; by industry representatives and the NFU. The methodology was reviewed in an economic report in 2003 "Productivity of UK Agriculture - causes and constraints" http://www.defra.gov.uk/evidence/economics/foodfarm/reports/documents/ProdRep.pdf

Defra (plus supporting boards and agencies)

Both data sources are subject to quality checks. The data in the Genesis database is used to form the basis of payments to farmers so can be considered reliable and accurate. The total utilised agricultural area figure is based on the June survey of agriculture and is a National Statistic, meeting the associated quality criteria.

Environment Agency

Local Authorities

AHVLA

The data provided is indicative of surface water quality in England. The assessments are derived from summaries of the Environment Agency's monitoring programmes. The Environment Agency confirm that the data is being used in an appropriate manner and the data provided is fit for this purpose. Appropriate quality controls and risk assessment are in place to ensure the quality of the data provided. There are quality assurance checks and procedures carried out by the EA and its analytical laboratories are UKAS accredited. Derived data is sense checked by Defra.

Statistics are National Statistics, validated by the contractor as system administrator, and verified by the Environment Agency through their QA processes, which include a programme of visits to LAs.

Data is evaluated by Defra statisticians, Defra veterinary advisors, and TB policy experts. Bovine TB policy, and how the statistics are presented are also open to scrutiny by the TB Eradication Group - an England group on eradication of TB in cattle set up to make recommendations to the Secretary of State.

Environment Agency

DCMS

Audited financial data/official statistics

The aims and objectives and key performance measures are established in the Environment Agency‟s Corporate Plan, published annually, and subject to policy and public scrutiny. Progress is reported quarterly through the Corporate Scorecard, as well as Defra/EA official level quarterly review meeting and reviewed through bi-annual Ministerial Performance Reviews and the Defra Supervisory Board. Appropriateness of measures may also be subject to scrutiny by the NAO and EA Internal Audit reviews.

The sampling frame of the survey and weighting means the sample is representative of the population.

Confidence intervals are usually around +/-1% for the overall measure, and greater for demographic breakdowns

ACEEHNational Museums and GalleriesBritish LibraryBritish Film Institute

-

- OFCOM

Office for National Statistics- Tourism Intelligence Unit

DWP internal benefit data is known to be very accurate. There are some well documented minor issues regarding clerical claims, but these are small.HMRC P45 data is known to not cover all moves into employment, (e.g. people earning under the tax threshold, and self employment). Overall, it has been estimated that the HMRC data only covers around half of the movements into employment of those off-flowing from benefit.Therefore, the published off-flow rate to employment is likely to under-report by around half. This will have to be clearly noted and caveated within any documentation relating to the indicators publication.

Raw HMRC P45 data collected by HMRC and sent to IFD in DWP monthly.Raw benefits data collected internally and produced by IFD and PMAD in DWP

ONS

Data is produced in line with 'quality and methods' outlined in the DWPs Statistical Summary Quality Statement http://research.dwp.gov.uk/asd/quality_and_methods.pdf

Dependent on which objective it relates to. Get Britain Working (reducing numbers on benefit is proxy for more people in work) Welfare Reform (where overall reduction in number and spend on benefit is key measure)

The raw data is collected by Jobcentre Plus as part of the process for assessing and paying benefits.The Claimant Count is published by the Office for National Statistics; the other benefit data are published by DWP

The data is constrained by the relatively small number of workless households with children identified in the HLFS, which can limit analysts’ ability to identify statistically significant trends.

Confidence interval for the data is 95%

Confirmed that because the data is published as part of research report series it is covered from the independent verification angle

ONS

The Office for National Statistics

The survey data is based on a random sample of 60,000 households, and is considered to be provide robust estimates of labour market outcomes.

The definition of ‘working age’ recently changed to reflect the equalisation of state pension age. The new impact indicator will be based on the ONS New Headline Rate, which includes all people aged 16 to 64. The issue here is that we cannot produce historical time series on this basis because some of the LFS survey question guidance changed slightly from 2010 quarter 2 to obtain more universal coverage of women aged 60 to 64.The measure has a confidence interval of around +/- 1 percentage point.The fit between the data and the indicator is very good. The LFS is used by ONS to produce National Statistics on GB employment and unemployment rates that conform to International Labour Organisation (ILO) standards. The LFS also contains disability data that very closely aligns with the Disability Discrimination Act definition of disability.

Measure covers private households only. Data source is known to under-record receipt of state support. Confidence intervals can be calculated for the headline statistics. Low income is one amongst a group of poverty measures. There are a variety of other measures of poverty that might be used.

The latest available figures indicated that 23 per cent of individuals in disabled families were in low income households. Confidence intervals suggest the true figure is between 21.6 and 23.6 per cent.

A consortium of the Office for National Statistics and the National Centre for Social Research under contract to DWP.

It does work as a suitable indicator measure of the level of underpayment and overpayment in the benefit system.

Data is robust for statistical purposes but coverage cannot currently be used at regional or local level

Confidence intervals for the data is 95%

DWP Risk Assurance Division Performance Measurement collect the data and Information Directorate Fraud & Error Measurement analyse the data to produce the MVFE figures

Office for National Statistics

Measure covers private households only. Data source is known to under-record receipt of state support. Confidence intervals can be calculated for the headline statistics. Low income is one amongst a group of poverty measures. There are a variety of other measures of poverty that might be used.

The latest available figures indicated that 16 per cent of pensioners were in low income households. Confidence intervals suggest the true figure is between 15.3 and 16.8 per cent.

A consortium of the Office for National Statistics and the National Centre for Social Research under contract to DWP.

No known quality issues. Analyses are National Statistics produced to high professional standards

Good fit between data and indicator being measured.

An indication of the quality of estimates is included as part of tables provided by ONS. This is measured by its coefficient of variation (CV), which is the ratio of the standard error of an estimate to the estimate. See: http://www.statistics.gov.uk/downloads/theme_labour/ashe-2009/tabP1.1a.xls"

Office for National Statistics

External contractor TNS-BMRB

- -

Provides a measure of tracking change in average age of withdrawal over time. The 'static' measure we intend to use is the most up to date method, and gives the potential for more regular data.

There are issues in relation to the methodology which uses a static age indicator which assumes that factors affecting economic activity of one cohort are the same as those affecting the activity of the next. It may not be able to capture significant policy shifts such as SP age changes. In particular the 'static' methodology can overestimate the average exit age of women (by about half a year).

We therefore plan to also publish alongside this the Duration of Working life measure – though this is only available on an annual basis and data is two years lagged e.g. 2011 Pensions Trends Report reports the 2009 Duration of Working Life figure

The survey items were developed through cognitive testing and a large scale pilot accurately capturing customer opinions. Significant differences will be reported at the 95% confidence interval.

0

National Statistic N/A

National statistics 0

Statistics produced by the OBR (based on HM Treasury estimates of the output gap previous to 2009-10).

DEL plans contained in the Budget are management information. DEL outturn data is a national statistic.

PEOWP data is classified as provisional. However it is close enough to final to be the best measure, considering that final outturn data is unlikely to be available until the following calendar year.

National statistics

market value

Aggregate gross committed lending for all participating banks

These data are based on statistical samples and, as such, are subject to sampling variability. Tables giving ‘95 per cent confidence intervals’ for each region can be found in each of the latest Regional First Releases, published once per quarter at:http://www.statistics.gov.uk/onlineproducts/lms_regional.asp

1. UK tax policy2. Compiled by OECD, using OECD definitions, from national tax legislation

Subject to OECD interpretation. Given the headline nature of the data, annually-reported data may become obviously out-of-date (HMT may need to gather up-to-date comparisons direct from countries)OECD data doesn't regularly cover non-OECD countries

Not strictly the same as tax base. Unlisted companies not included.

Measure may need to be adapted when term of Project Merlin expires (end-2011)

Management Information 0

0 0

Management Information Received directly from company




Received directly from administrator

Received directly from administrator and FSCS. HMT also hold records


0 0

0 0

0 Uncertainty around timing of reporting - Can ask Bank to report as at 31st March 2011.

Return format Geographical coverage How indicator can be broken down Number of years

England

Inequalities by area deprivation across England

The indicators are national-level measures of inequality by area deprivation across England. Health inequalities measures for use at national and local level are being further developed following the consultation on the Public Health Outcomes Framework.

The following associated data at local level have been published:- life expectancy at birth at local authority level (published by ONS)- life expectancy at birth by deprivation decile within each local authority (published by the Association of Public Health Observatories)- DFLE at age 16 at local authority level (not inequalities within local authorities) (published by ONS).

Percentage of term babies

National, sub-national (PCT, LA), socio-economic classification of father (for joint registrations)/mother (for sole registrations), mother's age, ethnicity of baby as defined by the mother.

Percentage England -

Percentage England -

Rate per 100,000 England

- - -

England

Possible disaggregations include: subnational (regional, PCT/LA), age, gender and deprivation

Likely to be percentage of people falling within index score bands

Possible disaggregations likely to include: sub-national (regional, PCT/LA, provider), age, ethnicity, gender, disability, sexual orientation, deprivation

England



The indicator will be expressed as a numerical score, based on responses to individual questions in the survey.

Geographic area: by region and by local authority area.Equalities group: by age, gender and ethnicity. Sexual identity and religion are also being collected from council administrative systems, but the pilot survey showed that the majority of councils do not routinely collect this information and therefore it may be a few years before robust estimates can be produced.

Client group: by physical disability, learning disability, mental health, substance misuse and vulnerable people.

Available disaggregations include: sub-national (regional, PCT/LA, Provider), age, gender, deprivation

Available disaggregations include: sub-national (regional, PCT/LA, provider), age, gender, deprivation

Percentage England

Score out of 100 England

England

Rate per 100,000 England Available disaggregations include: provider, age

Available disaggregations include: age, ethnicity, religion/belief, sexual orientation, GP Practice, PCT

Available disaggregations include: age, ethnicity, gender

The indicator will be expressed as a numerical score, based on responses to individual questions in the survey.

Geographic area: by region and by local authority area.Equalities group: by age, gender, and ethnicity. Sexual identity and religion are also being collected from council administrative systems, but the pilot survey showed that the majority of councils do not routinely collect this information and therefore it may be a few years before robust estimates can be produced.

Client group: by physical disability, learning disability, mental health, substance misuse and vulnerable people.

Rate per 100,000 England Available disaggregations include: provider, age

Percentage England

Percentage England National, Local Authority, School

Percentage England

Local Authority and school figures are calculated and published, but based on a slightly different methodology to this national key performance indicator.

Local Authority and regional figures are calculated and published, but based on a slightly different methodology to this national key performance indicator.

Percentage England Region and Local Authority

Percentage England National, Local Authority, School

Percentage England

Percentage England

Data can be broken down by region and local authority (LA). Departmental standards on the protection of confidentiality will be followed such that some figures may be suppressed.

Data can be broken down by region and local authority (LA). Departmental standards on the protection of confidentiality will be followed such that some figures may be suppressed.

England Region and Local Authority

Percentage England By region and local authority.

England

Percentage, to one decimal place

Percentage, to one decimal place

Data is also presented for Local Authorities and Regions, but based on a slightly different methodology. See notes to editors of SFR for more information.

Number England 0

EnglandPercentage (An overall absence rate ie the number of absent sessions expressed as a percentage of all possible sessions).

Data are collected at pupil level and can be analysed at school level or at other geographical levels.

Percentage England National, and where possible Local Authority

England Local Authority

0 0 0

i) count ii) count and percentage

Percentage By train operator

Percentage. Great Britain.

England

By DfT franchise (Great Britain)

In addition the headline figure covers all GB operators; including operators franchised by devolved administrations (Arriva Trains Wales, First Scotrail, London Overground and Merseyrail), and non-franchised operators (Grand Central, Heathrow Express and Hull Trains).

Results can be broken down into countries and regions

Non-frequent – percentage (of buses on time)

Frequent – minutes (of Excess Waiting Time)

The full breakdown is available from the Excel or CSV table on the Business Plan Indicator web page.

England By route and junction to junction road links.

Number/Percentages Great Britain.

Number of vehicles United Kingdom Country, region and local authority.

Percentage of ‘journeys’ that are ‘on time’

The indicator can be broken down by any geographical area required (e.g. country, region, local authority) since the OS grid reference is collected for each accident. Information is also available by age, gender and type of road user.

Index (2010=100) England

England To housing authority level, and by tenure

England To housing authority level

England

England To housing authority level, and by dwelling type

Geographically by local authority, urban and rural areas, and region

Units: numbers of starts and completions. Format of return: Interform for P2 data; the NHBC monthly house building data are stored on a file transfer protocol (FTP) site from which they are lifted by DCLG officials.

Units: numbers of dwellings. Format of return: Interform (except the London data which are provided in Excel)

Units: numbers of starts and completions. Format of return: depending upon the particular programme, in programme information submitted to the Investment Management System or the project control system

To region level; by type (social rent, intermediate rent, Low Cost Home Ownership); by local authority area

Units: SAP scores (scale of 1 to 100)

England

England

England By local authority

England By local planning authority

Units: number of households. Format of return: Interform

To housing authority level and by type of accommodation, household type and ethnicity

Units: number of casualties. Format of return: record level data

i) a) Fatalities, b) Non-fatal, hospital, severe, c) Non-fatal, hosptial, slight, d) first aid. ii) To any geographical level, subject to limitations of data accuracy and data protection considerations

Units: grant figures are rounded to the nearest £1,000. Format of return: Excel spreadsheet

Units: numbers of applications. Format of return: Interform – DCLG's housing and planning electronic data collection system.

Share will be a percentage, the change will be percentage point.

Data will be presented for two groups: London/ South East/ East and the remaining English regions (based on place of work). Currently ONS publish the share of public sector employment for each region individually.

Some data are not published but can be estimated from published information or will be supplied by ONS from LFS microdata. Data are available for the UK, England, Scotland, Wales, Northern Ireland and each English region. No data from PSE (and therefore the private sector) for lower spatial areas. PSE estimates and hence Private sector employment are based on where the people are employed rather than where they live.

National

England

The return will show the percentage for both upper secondary and tertiary education; a position within the total number of countries reporting, e.g. 19 / 30, 12 / 31, etc; and the current percentages of the current population in England aged 19-59/64 qualified to each of Level 2 and above, Level 3 and above, Level 4 and above.

OECD provide similar statistics relating to 10-year age bands within 25-64.

The return will show the percentage participating.

We will present this broken down into those in full time education or training and those in other types of education or training.


% UK By UK region and by discipline.

Percentage for FSM/NonFSM rates. The progression gap is presented as a percentage point

It covers the HE progression rates for English domiciled State School children to UK Higher Education Institutions and FE Colleges

By:• Local education authorities in England (location of school that the 15 year old attended)• main (JACS1) subject group of study• HEI (though for some, small numbers do not permit reporting)• Subject of study• male/female• ethnic group• SEN status• Attainment (key stages)


% UK Across regions, across sectors, across business size


England or UK possible

Ranking UK only NA


A rate, as a proportion of adults (18-64)

Breakdowns currently available by region, gender, age, ethnic group etc

£ millions England By piece of legislation, Govt Dept

UK only

Percentage UK only N/A

£m’s UK

OECD Indicator = 0-6 scale. Supplementary information £ millions

OECD indicators by three different aspects of employment protection. Supplementary information by piece of legislation.

The indicator can be broken down by competition tool (Mergers, Markets, Competition Enforcement) and by body (OFT and CC)

Raw numbers England and Wales

UK (except ACPO - E&W only)

Thousands of people UK

£ millions UK

Percentage UK

Country, region, local authority, police force, CSP, type of crime (aggregated property crime or violent crime).

i) number of individuals and groupsii) percentage of known organised crime groupsiii) number of disruptions

Capable of being broken down by agency, crime type, region

Emigrants from and immigrants to the UK by citizenship (British, Non-British, European Union, Commonwealth and other foreign)

By cigarettes, hand rolling tobacco, beer, wine and spirits. Also, from 2011-12, by cider and alco-pops.

No further breakdown available

Percentage UK

UK Border Agency Percentage UK

% Currently Nationwide

By product type i.e. Visa, Family, Employment, Study, Visit, Sponsor, Accession, Permanent Residence, British Citizenship and Euro applications

Can be broken down into seven regions but this will not highlight smoothing of workload across regional offices

The indicator will be absolute numbers of organisations. (Figures as a percentage are also available in the published Baseline Report)

Great Britain (England, Scotland and Wales)

The indicator will be broken down by size of the workforce; e.g. organisation with 150-249, 250-499, and 500+ employees. (We will not be collecting information on employers of less than 150 employees in size)

England and Wales

England and Wales Individual Prison level

Rate per 100000 England and Wales By region, police force area and local authority

Percentage of offenders re-offending

Region, Police Force Area, Probation Trust level, Local Authority

Percentage of offenders re-offending

Weeks

Proportion of cases England and Wales

Count of new offences England and Wales/UK Organisation (potentially)

Percentage % - -

England and Wales for Criminal, Care and Civil courts, UK and GB for Tribunals data

By region, by court, by case type, by offence type (criminal courts). By region, area and individual Tribunals for Tribunals data

By small claim / fast&multi-track cases, by region, by court.

Number - -

Number - -

Number - -

Number - -

Number - -

Percentage % - -

Percentage % - -

Percentage % - -

Percentage % - -

UK By customer company profile

UK

Integer - number of Projects

Integer - number of Businesses Assisted

By customer company profile; by UKTI Product or Service

Value in $ Global

Percentile ranks 213 countries worldwide

Number, from 0-5. UK initially, global thereafter.

The indicator is difficult to disaggregate. However, there is a potential for splitting the difference between current investment and investment required for 2C to: 1. The difference between current investment and investment consistent with policy and, 2. The difference between investment consistent with policy and investment consistent with 2C target.

The indicator can be broken down by country, year, aggregate indicators and individual indicators (sources).

To be confirmed. The indicator may be difficult to disaggregate, in numerical form.

Percentage (%)

Number children By developing country and by sex

Across all of the FCO Global Network.

The percentage can be broken down by month, case type, location.

Developing countries where DFID has a bilateral education programme

Number of ITN s distributed

Developing countries in which DFID is delivering bilateral malaria programmes plus ITNs distributed in countries through multilateral support .

By country or by multilateral organisation.

Number of people Developing countries where DFID has a relevant bilateral programme or where DFID's core contributions have been used by multilateral organisations to support sanitation.

Bilateral data will be broken down by developing country (and by sex where possible) . Multilateral data will be broken down by organisation. Bilateral and multilateral data should not be presented as an aggegate.

Number of people

Number of people

Developing countries where DFID has a relevant bilateral programme

By country, by sex and disaggregated by individuals.


By developing country for bilateral data or by organisation for multilateral data. Disaggregated by sex where possible.

Number of births By Country.

Number of people

Number of households GB none



By developing country for bilateral data or by organisation for multilateral data (e.g. CGIAR, GEF). Disaggregated by sex where possible.

Number of households UK

Percentage UK UK only

Electricity - UK, gas - GB

Global

By source of emissions

£billion UK n/a

Percentage UK n/a

Headline data for England can be broken down by Government Office Region. In addition, DECC publish sub-regional splits as low as census output area.

Gigawatts (electricity), Terawatt hours per day (gas). Both measures can also be expressed as a percentage

Electricity can be broken down to provide a GB figure

Gigatonnes (billion tonees) of CO2e (carbon dioxide equivalents - all Kyoto basket greenhouse gases)

Split into countries or regional groupings and global sectors (international aviation and maritime)

Tonnes of carbon dioxide equivalent

UK, Crown Dependencies, and Overseas Territories which are signatories to the Kyoto Protocol

Kg of nitrogen per year England

Smoothed Index England

UK Available only at UK level

England

Currently reliable estimates only available at UK and England level. Reliable regional breakdowns are being developed.

Some regional information is available, but it is not a direct disaggregation of the national index.

Volume index, 2005=100

Measured by the area of land covered by HLS as a proportion of total utilised agricultural area.

Regional level. Data can be geo-referenced allowing other breakdowns to be carried out.

England England only

%

% England County level

% net improvement in water quality elements

England (waste is a devolved issue)

Data is collected at LA level. Rates can be calculated at national, regional (NUTS2) or local (LA) level.

Number of households England

Percentage England

£m England

National level data will be provided. OM2 can be broken down to show the number of households protected in deprived communities.

By Government Office region but not local authority. Available by several other demographic and area level variables e.g. age (5-10 & 11-15), sex, ethnic group, rural/urban, index of multiple deprivation, whether competitive sport has taken place in or out of school.

ACE can break this down by artform (breakdown to sponsorship, trusts, donations and lottery revenue partnership funding).

Number of people UK

Scorecard

Future work may allow for disaggregation to nations of UK

UK (including Northern Ireland but not CI or IoM)

Coverage and price split by standard, superfast and mobile broadband coverage.Speed split by average fixed download, upload and mobile speeds.Choice of broadband service by market concentration in fixed and mobile broadband market.

Unit and format of measurement is:Percentage

UK coverage -by Jobcentre Plus district

Indicator can be broken down by Jobcentre Plus district

The table is published as an Excel spreadsheet showing numbers in thousands to two decimal places (i.e. to the nearest 10)

The UK seasonally adjusted Claimant Count can be broken down to Government Office Region level at https://www.nomisweb.co.uk/query/11.1/advanced.aspx

All other series can be broken down to Lower Super Output Area (LSOA). However, this must be done separately for the two series:

GB non-seasonally adjusted claimant count: https://www.nomisweb.co.uk/query/1.1/advanced.aspx Other benefit series:http://83.244.183.180/100pc/wa/tabtool_wa.html

The claimant count can be broken down by gender. Breakdowns by age and duration can be added by opting to remove clerical (non-computerised) claims. https://www.nomisweb.co.uk

Benefit data can be broken down by:• Partner flag• Gender of claimant• Age of claimant• Benefit combination• Duration of oldest current claim• Number of children• Age of youngest child dependantSee http://83.244.183.180/100pc/wa/tabtool_wa.html

Unit and format of measurement is:Volumes (1000's) and percentage terms

National - UKGreat BritainEngland (including regional breakdown)Scotland WalesNorthern Ireland

The headline data can be broken down by whether all members of the household are unemployed, all are inactive, or a combination of the two. The data can be compared with households where all members are working, and with households containing both working and workless members.The headline data can also be broken down by:Household type – ie whether children are growing up in a couple, lone parent, or other type of household;Government Office Region; and Ethnic origin of the child.These further breakdowns are published by ONS and are in the public domain.

Percentage Only national data is published. Data is published by gender

Unit and format of measurement:Volumes (millions) and expressed in percentage terms

National (GB).

Government office region breakdown has been considered but analysis showed that, due to relatively small sample sizes, confidence intervals were too wide to enable robust time series analysis or comparisons between regions.

The viability of additional breakdowns would have to be assessed on a case-by-case basis. Sample sizes are too small to enable regional analysis but there may be scope for breakdowns such as gender and broad age groups.

Unit and format of measurement is:Percentage

Regional – using three-years of data. Various smaller area proxies are available, but these are not all consistent with the headline estimates.

Any material collected on the Family Resources Survey can be broken down by low income, subject to sample size constraints.There are a wide range of additional breakdowns available including disaggregate data by age, ethnicity (using a three-year average), disability, maternity, gender and religion (Northern Ireland only). There is no current coverage of maternity, sexual identity and religion for Great Britain. Planning on adding sexual identity and religion to the survey for all respondents from April 2011

Data is shown in monetary value terms (£) and as a percentage

National level - England Scotland & Wales

The indicator can be broken down to benefit level for the main benefits and it can be broken down for Customer Fraud / Customer Error / Official Error

National

Unit and format of measurement is:Volumes (millions) and expressed in perecentage terms

Regional – using three-years of data.

Various smaller area proxies are available, but these are not all consistent with the headline estimates.

There are a wide range of additional breakdowns available. Any material collected on the family Resource Survey can be broken down by low income, subject to sample size constratints

Unit and format of measurement:Volumes (millions)

By age and gender

Additional breakdowns for gross earnings, employment sector can be provided

Natonal - UK level

Percentage

- - -

Unit and format of measurement is:Average age in years

Can be broken down by age and gender

Breakdown by other equality group, e.g ethnicity, disability, will be dependant on sample sizes and robustness of results and will not be available quarterly

JCP - Seven Customer Service groups are covered

PDCS - By business level for the Pension Service and Disability Carers Service and then by benefit ( SP,PC,DLA,AA,CA)

JCP - The following customer demographics available nationally, gender,age ethnicity,work status,disability,sexual orientation,marital status,religion, highest qualification and whether they have children

PDCS - The following customer demographics available nationally, gender,age ethnicity,work, disability status,sexual orientation,marital status, English as a second language

UK

UK

HM Treasury £ billion and as a percentage UK

Office for National Stastistics

HM Treasury and the Office for Budget Responsibility

The cyclically adjusted budget balance is always expressed as a percentage of Gross Domestic Product (GDP).

Office for Natonal Statistics

Public Sector Net Debt is expressed in cash terms (£billion) and as a percentage of GDP.

Office for National Stastistics

The unit of measurement is pounds sterling, as valued in the base year.

Percentage Government Office Regions

HMT National

HMT National

Bank of England £ billion National

Office for National Statistics (ONS)

a) %b) Rank relative to i) G7 and ii) G20 countries

i) Numberii) Rank relative to European countries

UKFI/HMT £ 0

0 0 0

UKFI/HMT £ n/a

UKFI/HMT £ n/a

HMT/KPMG £ n/a

£ n/aHMT/FSCS/Administrators

UKFI/HMT £ n/a

DMO/HMT 0 0

0 £ 0

Bank of England 0 0

Further guidance Lead Official Analytical Contact Jazz Bhogal -

- -

Inequalities in disability-free life expectancy by area deprivation, England 2001-04 and 2005-08, Olugbenga Olatunde, Michael Smith, Chris White, in Health Statistics Quarterly, vol 48, pp 36-57 (ONS)http://www.statistics.gov.uk/CCI/article.asp?ID=2611

Further guidance on interpretation of the SII (although focussed on the SII in LE at local authority level) is available in Health Inequality Indicators for Local Authorities - Guide to interpretation of the indicator (APHO)http://www.apho.org.uk/RESOURCE/VIEW.ASPX?RID=96930

Heather GwynnDirector of Children, Families and Maternity Division

- -

- -

- None assigned yet -

- - -

- -

Ray Earwicker: [email protected]

Ray Earwicker: [email protected]

Stephen Johnson – [email protected]

-

- -

- -

See http://www.ic.nhs.uk/services/social-care/social-care-collections/user-surveys/user-survey-guidance-2010-11 for latest collection guidance.

Richard CampbellDeputy Director, Dignity and [email protected](020) 7972 4027

James Adedeji – [email protected]

Dawn Fagence – [email protected] – to handle

- -

- -

-

- -

Gill Littlehales – [email protected]

Jason Cox – [email protected]

See http://www.ic.nhs.uk/services/social-care/social-care-collections/user-surveys/user-survey-guidance-2010-11 for latest collection guidance.

Richard CampbellDeputy Director, Dignity and [email protected](020) 7972 4027

Matthew Fogarty: [email protected]

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Matthew Fogarty: [email protected]

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- -For summer term, data are only collected up until the end of the first half of the term, therefore data for the academic year relate to two and a half terms only.

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0 0 Dorothy A Anderson

For further guidance on Academies and Free Schools:

http://www.education.gov.uk/schools/leadership/typesofschools/academies

[not provided] 0 0

[not provided] 0

0 0

Lyndsey Melbourne (Statistician), DfT

The full guidance on how to compile the indicators can be found here- http://www.clip.local.gov.uk/lgv/core/page.do?pageId=36703 Related bus statistics are available here- http://www.dft.gov.uk/statistics/series/buses/ Research on attitudes to bus travel can be found here http://www.dft.gov.uk/statistics/releases/public-attitudes-towards-buses-march-2011/

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0 0

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A full methodology document is available at: http://assets.dft.gov.uk/statistics/series/congestion and reliability/haontimemethodology.pdf ‐ ‐

Detailed breakdowns are published in Reported Road Casualties Great Britain Annual Report and Road Casualties Online (which includes an accident level dataset), all available through: http://www.dft.gov.uk/pgr/statistics/datatablespublications/accidents/

These figures are a subset of the monthly, quarterly and annual vehicle licensing statistics releases available at https://www.gov.uk/government/organisations/department-for-transport/series/vehicle-licensing-statistics

Any other relevant information.

Richard Field

Richard Field

Emma Fraser (DCLG) Jane Hinton (DCLG)

Bob Ledsome Rosie Cornelius

Nigel Dotchin, Head of Equalities Policy, Dft.

[email protected] / 020 7944 4912. This field will not be published.

Rachel Moyce, Vehicle and Administrative Data, Statistics Travel and Safety Division, DfT. [email protected] / 0207944 4139. This field will not be published.

http://www.communities.gov.uk/housing/housingresearch/housingstatistics/housingstatisticsby/housebuilding/publicationsonhousebuilding/

Daniel Greaves/Mario Wolf

http://www.communities.gov.uk/housing/housingresearch/housingstatistics/housingstatisticsby/netsupplyhousing/

Daniel Greaves/Mario Wolf

http://www.homesandcommunities.co.uk/statistics. Note: this indicator is not defined in a way that can be used to assess delivery of the Government's ambition of 150,000 new affordable homes.

http://www.communities.gov.uk/housing/housingresearch/housingstatistics/housingstatisticsby/environmentalperformance/

Gary Messenger Laurie Thompson

Gavin Sayer Gavin Sayer

Paul Andrews Steve Melbourne

Michael Bingham Bob Garland/Grant Kelly

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http://www.communities.gov.uk/housing/housingresearch/housingstatistics/housingstatisticsby/homelessnessstatistics/publicationshomelessness/

http://www.communities.gov.uk/fire/researchandstatistics/firestatistics/firestatisticsmonitors/

http://www.communities.gov.uk/publications/fire/irsquestionslists

http://www.statistics.gov.uk/hub/people-places/fire-and-rescue/fire-and-rescue-services/index.html

Figures are not yet published on this particular basis. DCLG officials hold information on which grants are ring-fenced.

http://www.communities.gov.uk/planningandbuilding/planningbuilding/planningstatistics/statisticsplanning/

PSE data defines the public sector to be central government, local government and public corporations (as defined for the UK National Accounts). Company, Sole Proprietor, Partnership and Non Profit Body or Mutual Association are classified as the Private sector. Private sector employment is estimated from the difference between total employment (from the Labour Force Survey) and the public sector employment estimates. Unemployment and Inactity follow ILO definitions.

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Further information on original OECD data and methodology can be obtained form the OECD Education at a Glance web-site http://www.oecd.org/document/52/0,3343,en_2649_39263238_45897844_1_1_1_1,00.html

The ranking is published as a supplementary table to the Statistical First Release at http://www.thedataservice.org.uk/statistics/statisticalfirstrelease/sfr_supplementary_tables/international_comparisons_supplementary_tables/

The most recent statistics for England are published in Table 10.1 of the Post-16 Further Education & Skills SFR, which is available at http://www.thedataservice.org.uk/statistics/statisticalfirstrelease/sfr_current/. Note however that the OECD indicator is for the UK rather than England, and is based on a different sub-population from the National Statistic.

The data required are currently included in the DfE Official Statistics publication " NEET Statistics - quartlery brief". The specific series will be added to the parallel NEET supplementary tables BIS publish alongside the Statistical First Release on Post-16 Education and Skills. These are available at: http://www.thedataservice.org.uk/statistics/statisticalfirstrelease/sfr_supplementary_tables/neet/

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For more information see Annex A: http://stats.bis.gov.uk/he/FYPSEC_2010_final.pdf

The share of highly cited papers counts how many of the top 1% cited papers in "the past decade" were written or co-written by UK researchers. It is not a time series because "the past decade" and the papers that fall into the top 1% category change year-on-year. It is collected on a biennial basis because rankings change little over time.

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Full details on the http://epp.eurostat.ec.europa.eu/cache/ITY_PUBLIC/OSLO/EN/OSLO-EN.PDF

The GEM global website containsall global and UK reports since the GEM project started in 2000. Due to slight differences in methodology, the UK figure in the global report and in the GEM UK report may differ slightly (e.g. 0.1 % points). If a UK indicator is preferred, then we propose to use the GEM global figure as an early estimate (as data is published sooner) and then replace with the GEM UK figure once available. If an England only indicator is preferred, then this will only be possible once the GEM UK report is published.

Details on the methodology are available from:http://doingbusiness.org/methodology/methodology-note

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http://www.oecd.org/document/11/0,3746,en_2649_37457_42695243_1_1_1_37457,00.html#latest_update

OECD Trade Indicators database: http://stats.oecd.org/Index.aspx?DatasetCode=TRADEINDMACRO

A guide to OFT’s impact estimation policy is available here (http://www.oft.gov.uk/shared_oft/reports/Evaluating-OFTs-work/oft1250.pdf)

The last report from OFT is available here (July 2010):http://www.oft.gov.uk/shared_oft/reports/Evaluating-OFTs-work/oft1251.pdf

0

0

0

0

Might refer to Home Office Counting Rules (http://rds.homeoffice.gov.uk/rds/countrules.html) and RDS Crime Statistics page, including user guide (http://rds.homeoffice.gov.uk/rds/crimestats.html)

CPG Director General (Stephen Rimmer)

Dalbir [email protected]

Richard Riley Richard.Riley@homeoffice .gsi.gov.uk

Sara [email protected] CPAU: Sara Skodbo / Kirsty GillanMulti-agency Team in SOCA / OCCC in the NCA

Anthony [email protected]


Enver [email protected]




0

By gender

None





Susan [email protected]

Susan [email protected]

Voluntary Gender Equality Reporting: Baseline Report 2011 is available here: http://www.homeoffice.gov.uk/publications/equalities/womens-equality/gender-equality-reporting/baseline-report/

Jonny [email protected]

Jonny Richards [email protected]

http://www.justice.gov.uk/consultations/statistics-cp171110.htm

John Marais (Ministry of Justice),[email protected],020 3334 4960

Jo Peacock (Ministry of Justice,[email protected],020 3334 5066

http://www.justice.gov.uk/consultations/statistics-cp171110.htm


Jo Peacock (Ministry of Justice,[email protected],020 3334 5066

http://www.justice.gov.uk/publications/statistics-and-data/criminal-justice/criminal-justice-statistics.htm


Ben Coleman (Ministry of Justice, [email protected], 020 3334 4984

To be issued when counting rules established

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http://www.justice.gov.uk/publications/statistics.htm

Fiona Weller (HM Courts Service), [email protected], 020 3334 6898

Miguel Goncalves (Ministry of Justice), [email protected], 020 3334 5091

http://www.justice.gov.uk/publications/statistics.htm

Fiona Weller (HM Courts Service), [email protected], 020 3334 6898

Miguel Goncalves (Ministry of Justice), [email protected], 020 3334 5091



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0 0

0 0

UK Inward Investment report 2009/10 is available on the UKTI website: http://www.ukti.gov.uk/fr_fr/investintheuk/whytheuk/news/114034.html?null

Performance Impact Monitoring Survey (PIMS) data is published on the UKTI website: http://www.ukti.gov.uk/fr_fr/uktihome/aboutukti/ourperformance/performanceimpactandmonitoringsurvey/quarterlysurveys.html?null

0 0 0

0 0

To be confirmed. 0 0

The Foreign Secretary lays monthly written reports in Parliament on progress in Afghanistan on behalf also of the Secretaries of State for Defence and International Development [MOD and DFID]. The Secretaries of State [Defence, Foreign and Development Secretaries also] take it in turns to give quarterly oral statements to Parliament on Afghanistan. Also refer to the World Bank website

0

[email protected]

Please refer to the consular information provided on the FCO website http://www.fco.gov.uk/en/about-us/what-we-do/services-we-deliver/consular/

Work on developing meaningful and robust consular impact and input indicators has been temporarily suspended due to the need to respond to various ongoing consular crises. We aim to complete and publish the work on indicators in the coming months.

Assumes share of pupils supported in line with DFID’s financial input, though where DFID’s influence results in greater efficiency this will understate DFID’s true contribution.This indicator is one of a set of DFID Education Portfolio indicators and needs to be considered alongside these other measures of effective education performance including particularly the completion of primary education and the transition of girls (and boys) to secondary education. DFID is also supporting better national and international measures to assess student attainment and learning outcomes.

[email protected]

0 [email protected]@dfid.gov.uk

0 [email protected]

[email protected] & [email protected]

[email protected]

[email protected]

[email protected] & [email protected]

[email protected]

[email protected]

[email protected]

Ian Knowles, Mary Gregory

The share of health system spend that is defined as indirect MNH spend is assumed to be 25% - in line with the G8 Muskoka methodology . This may be revised in the future, with new evidence from country studies informing the attribution rate. Attribution of results to DFID will be country specific, and should be informed by the principle aid modality of the spend. HDD health-specific guidance note on the attribution of results.

[email protected]

CED also plans to undertake more work to identify a basket of resilience outcome indicators. These indicators can be used in conjunction with the indicator above to strengthen its impact focus. Indicators will be proposed for presentation to the ICF Cross-Whitehall Board by March 2011. Once agreed, these will be used by all ICF partners to track impacts. One area which will require continued statistical support will be how to capture inherent uncertainty of climate change adaptation in our tracking systems, and how to make good use of statistical probability measures in tracking non-linear outcomes.

[email protected]

This indicator will be subject to revisions as new data is released (e.g. from housing surveys)

Tracy Vegro, Nick Taylor

n/a Daron Walker Liz Whiting

Alison Bowman

James Hemingway

n/a James Hardy Chris Taylor

N/A Ben Golding John Mackintosh

n/a

n/a Duncan Millard Iain Macleay

Further information about the process used to collect the renewable energy data are available in the following data sources and methodology guidance note. http://www.decc.gov.uk/media/viewfile.ashx?filetype=4&filepath=Statistics/source/renewables/60-renewable-statistics-methodology.pdf&minwidth=true

Julian Prime, James Hemingway

Chapter 5 in DUKES, http://www.decc.gov.uk/en/content/cms/statistics/publications/dukes/dukes.aspx

Rosemary Love, Daniel Kapadia

BIS Shareholder Executive (Mark Russell)

BIS Shareholder Executive (Nigel Leese)

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Soil nitrogen balance will be published as an official statistic within a Statistics Notice in March 2011.

National Statistic published on the Defra biodiversity statistics website: http://www.defra.gov.uk/statistics/environment/biodiversity/

Number of Higher Level Stewardship agreements and total utilised agricultural area (http://www.defra.gov.uk/evidence/statistics/foodfarm/landuselivestock/junesurvey/documents/Jun2010-Eng.pdf)

N/A - -

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WasteDataFlow - LA waste management statistics (http://www.defra.gov.uk/evidence/statistics/environment/wastats/index.htm OR www.wastedataflow.org)

Incidence of TB in Cattle including the absolute number of OTF herds (http://defraweb/foodfarm/farmanimal/diseases/atoz/tb/stats/index.htm)

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- Tom Knight DCMS Tom Knight DCMS

- Josh Atkinson DCMS

Flood and Coastal Erosion risk management quarterly reports: http://www.environment-agency.gov.uk/research/planning/122070.aspx

Steven Edwards DCMS

- Sean White ONS

- Matt Agar BDUK Henry Bottomley BDUK

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Sean White ONS/ Josh Atkinson DCMS

Any other relevant informationLikely to be in Excel format but can save as CSV

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Any other relevant informationThe main table is in Excel format. The further breakdowns are available as HTML and Excel downloads

Any other relevant informationPublished in Excel and PDF format

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Published in the monthly Labour Market Statistics Statistical Bulletin on the ONS website. Is available in excel format.

Any other relevant informationIt is widely accepted there is a strong connection between the state of the economy and employment rates and this would be expected to have an effect on both of the employment rates used to measure this gap. There are many other factors that can also affect employment rates including the policies of DWP, other government departments, the wider public sector and the third sector. It would not be possible to disentangle the numerous effects and accurately quantify the precise impact any given factor has on employment rates. For this reason we cannot make the direct , provable casual link between the wide range of specific policies included in the DWP Spending Review settlement and a high level economic measure such as the employment rate.Currently published in Excel

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Any other relevant informationCurrently published in Excel

Any other relevant informationSource data: SQL databaseAnalysis data:SASResults data: Excel

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Any other relevant informationData is a SAS data file. Results are published in Excel

Any other relevant informationhttp://www.statistics.gov.uk/downloads/theme_labour/ashe-2009/tabP1.1a.xls

However these tables do not provide summary results for the eligible group or all employees. Further analysis is therefore required. This will be undertaken by DWP. Results will also be published as part of evaluation of workplace pension reforms

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Any other relevant informationCurrently published in Excel

Any other relevant informationPublished in PDF format

N/A Sam Beckett

0 Sam Beckett

0 James Richardson

By region 0 Dave Ramsden

Any other relevant information.

Public sector net debt refers to the sum of money owed to the private sector by central government, local authorities, and public corporations; expressed as a percentage of Gross Domestic Product.

This indicator will be broken down by Department in the Public Expenditure Outturn White Paper (PEOWP)

Angus Armstrong

By country Peter Schofield

By country Peter Schofield

n/a Peter Schofield

By unitary and local authority (12 month moving average, longer time lag): table 6.02 in Chapter 6 of the Economic & Labour Market Review: http://www.statistics.gov.uk/elmr/downloads/elmr6.pdf

Data for Northern Ireland are similar, but collected and published by the Department of Enterprise, Trade and Investment (DETI).They can be found here:http://www.detini.gov.uk/deti-stats-index.htm

Publish latest HMRC data as % value. For international comparisons use OECD data, supplemented by data from non-OECD governments within G20 (updated as necessary).

Need to first identify top-50 European companies from global list. Data can also be gathered real-time from other sources (stock exchanges, Bloomberg etc.) as appropriate

Additional net lending data will be collected from RBS and Lloyds Banking Group

by institution Elizabeth Dymond

0 0 0

n/a Elizabeth Dymond




HMT resource accounts






Indicator is not broken down by institutions 0 Donna Leong

By institution 0 Elizabeth Dymond

Indicator is not broken down by institutions 0 Donna Leong


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