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POPGROUP Slide 1 The Derived Forecasts module of the POPGROUP software Ludi Simpson, University of Manchester BSPS day meeting on household projection models, 16 th July 2012, LSE

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The Derived Forecasts module of the POPGROUP software Ludi Simpson, University of Manchester BSPS day meeting on household projection models, 16 th July 2012, LSE. UK industry standard for sub-national areas. An integrated demographic model for planning and research - PowerPoint PPT Presentation

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Page 1: UK industry standard for sub-national areas

POPGROUP

Slide 1

The Derived Forecasts module of the POPGROUP

software

Ludi Simpson, University of ManchesterBSPS day meeting on household

projection models, 16th July 2012, LSE

Page 2: UK industry standard for sub-national areas

POPGROUP

Slide 2

UK industry standard for sub-national areas

• An integrated demographic model for planning and research– population, households, labour force, disability, …– local and central government information– small area and District,– District, County/Region/National– a demographic framework, data to fill it, and an

analysis tool– historical series and new census data– estimates and forecasts– official projections and user’s own scenarios• Excel platform

Page 3: UK industry standard for sub-national areas

POPGROUP

Slide 3

POPGROUP users 2012

90+ organisations• Mainly UK public sector• Welsh Assembly for LA

projections• Scottish User Group

supported by NRS• Educational license: free

for teaching• Commercial sector use

growing: the industry standard for UK local planning

Local authorities

Page 4: UK industry standard for sub-national areas

POPGROUP

Slide 4

Popgroup management

• Developed collaboratively– Origins: 6 local authorities co-funded in 1999– Ownership: Local Government Association since 2009– £1500 POPGROUP, £1500 Derived Forecasts, one-off price

• Data Modules £450 a year, replicate official projections– Programming and technical support

[email protected]• Ludi Simpson technical specification / support

– Steering Committee – users, and Wales/Scotland reps, • Andrew Rudd [email protected]

– Independent user group• Charlotte Devereux [email protected]

– Web site and email discussion list, http://www.ccsr.ac.uk/popgroup/ – Training – online, 2-day annual course, manuals

Page 5: UK industry standard for sub-national areas

POPGROUP

Slide 5

POPGROUP & policy scenarios

Population Households

Labour force

- Not in households

x Headship rates

x Activity rates Revised migration Compare with

housing supply

Sharing, Vacancy rates, Second homes, Housing land

Compare with jobs supply

Unemployment, Commuting, Jobs creation

Page 6: UK industry standard for sub-national areas

POPGROUP

Slide 6

Presentation

Demographic framework• POPGROUP population forecasts framework• Derived Forecasts framework

– UK household projections frameworks• Demonstration of Derived Forecasts model setupData and analysis• Demonstration of a household projections Data Module• Demonstration of reports from a household projection• Demonstration of a housing-led population forecast

Page 7: UK industry standard for sub-national areas

POPGROUP

Slide 7

POPGROUP population forecasts framework

• Standard cohort component methodology– Single year of age, to 90+– Gross migration with two external areas– Schedules of births, deaths, migration may change over time– Special populations can be separate, eg Armed Forces

• Projection of multiple ‘Groups’, named by user– Districts in a Region, national areas, small areas within a

district, ethnic groups within a district

• Accepts counts and rates, estimating the missing items– Counts take precedence: initial rates are re-estimated: – Time series of past data and forecasts– ‘Forecasts’ with past population provide estimated rates and

migration flows

Page 8: UK industry standard for sub-national areas

POPGROUP

Slide 8

Derived Forecasts framework

Households = Population (adjusted to deduct those not in households) * age-sex-specific headship rate (for each household type)

In defence of the ‘headship rates’ approach• Household types can include size of household (Scotland, Wales)• ‘Head’ can be a reference person, independent of changing

cultural norms (England, Wales, Scotland)• The same approach can use ‘membership rates’ in which non-

heads are included in the output (Wales)– The number of households is derived by dividing by the

number of people in a household type by its household size

Page 9: UK industry standard for sub-national areas

POPGROUP

Slide 9

Derived Forecasts framework

Derived unit Adjustment to population

Categories Rate Factor

Household (England)

Communal establishments

17 household types

Household representative

-

Household (Wales)

Communal establishments

12, HH size included to 5+

Household membership

Household size

Household (Scotland)

Communal establishments

7, HH size included to 3+

Household representative

-

Labour force None Economically active

Economic activity

-

Disability None Motor, sight, … Disability rate -

Page 10: UK industry standard for sub-national areas

POPGROUP

Slide 10

Derived Forecasts framework

D =Derived Category Forecast

P =Population ‘at risk’ Forecast

R =Derived Category Rates

a = age-groups = sexu = Sub-populationy = yeard = derived categoryg = group (usually an area, but can be an ethnic

group or social group)

D a,s,u,y,d,g = P a,s,u,y,g * R a,s,u,y,d,g / 100

Population ForecastPopulation forecast by age and sex

Population Forecastby age and sex

Derived Category RatesBy age and sex

(e.g. headship rates, disability rates)

Derived Category ForecastForecast for Derived Categories

(e.g. Households, disability)

Page 11: UK industry standard for sub-national areas

POPGROUP

Slide 11

Derived Forecasts – Model SetupPOPGROUP Derived ForecastsModel Selections

Model Type Base Year

CLG 2008 Household

Choose a set of Age / Sex groups Choose type of Derived Unit rates

Label for Age / Sex groups is… Label for Derived Unit rates is…CLG 2008 Household CLG 2008 Household representatives

Choose Derived Units

Choose a name for the Final Derived Units

Make Population Adjustment . . . . . Label for Derived Units is…

Label for Population Adjustment Households

Not in Households

Adjustment using . . . . .

Adjustment method . . . .

Label for size factor

Use Sub-Populations . . . . . . . . . .

Label for the Sub-Populations Label for Final Derived Units after factors

2001

Validation

Calculations on Derived Units

Age / Sex groups Derived Units

Sub-Populations

Population Adjustment

Value of each rate

Sum across categories

Modif y Age / Sex groups

Modif y categories

Back Run Setup

0 or +ve From 0 - 1 No Limit

Sum to 1

Yes No

Yes No

1 or Less No Limit

View View

Divide Multiply None

Households

CLG 2008 Household CLG 2008 Household representatives

Add Subtract

% Number Mix

Mix

Modif y

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POPGROUP

Slide 12

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POPGROUP

Slide 13

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POPGROUP

Slide 14

Page 15: UK industry standard for sub-national areas

POPGROUP

Slide 15

Derived Forecasts Summary Report 2010-based household projections

Households - All Persons - All Ages

Glasgow and Clyde ValleyCategory of Households 2010 2011 2012 2013 2014 2015 2016 2017 2018 20191 adult male 139,250 141,758 145,385 148,998 152,457 155,783 159,076 162,438 165,651 168,7411 adult female 171,075 172,910 176,259 179,571 182,776 185,750 188,737 191,934 194,977 197,9202 adults 213,238 214,177 216,708 219,212 221,609 223,808 226,002 228,305 230,375 232,3471 adult, 1 child 42,404 43,210 44,344 45,428 46,418 47,341 48,248 49,174 50,054 50,9371 adult, 2+ children 27,144 27,314 27,656 28,028 28,408 28,831 29,258 29,727 30,195 30,6232+ adults, 1+ children 139,321 136,278 133,740 131,318 128,862 126,707 124,560 122,252 120,094 117,9503+ adults 67,996 67,067 66,539 65,931 65,267 64,510 63,635 62,646 61,584 60,469

Total 800,428 802,715 810,631 818,485 825,797 832,730 839,517 846,476 852,930 858,988

Private household population 1,739,793 1,744,311 1,749,414 1,754,388 1,758,951 1,762,841 1,766,494 1,770,079 1,773,552 1,776,778Population / Households 2.17 2.17 2.16 2.14 2.13 2.12 2.10 2.09 2.08 2.07

East Dunbartonshire Category of Households 2010 2011 2012 2013 2014 2015 2016 2017 2018 20191 adult male 4,491 4,584 4,680 4,776 4,871 4,967 5,062 5,150 5,241 5,3351 adult female 8,160 8,286 8,434 8,575 8,721 8,859 8,985 9,143 9,287 9,4232 adults 13,891 14,073 14,272 14,480 14,678 14,873 15,060 15,245 15,421 15,5871 adult, 1 child 1,267 1,297 1,323 1,348 1,373 1,397 1,425 1,451 1,479 1,5071 adult, 2+ children 933 940 944 950 956 964 975 983 994 1,0092+ adults, 1+ children 9,783 9,550 9,301 9,044 8,799 8,576 8,358 8,122 7,899 7,7003+ adults 4,486 4,440 4,401 4,349 4,290 4,229 4,151 4,066 3,969 3,861

Decomposition of Change

2010 - 2025Population

EffectRate Effect Change

Glasgow and Clyde Valley 52,284 38,467 90,751

East Dunbartonshire 1,252 680 1,932East Renfrewshire 1,845 214 2,060Glasgow City 29,492 19,702 49,194Inverclyde -1,788 1,236 -552North Lanarkshire 7,836 6,860 14,696Renfrewshire 2,532 2,804 5,336South Lanarkshire 11,139 5,378 16,517West Dunbartonshire -24 1,592 1,568

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POPGROUP

Slide 16

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POPGROUP

Slide 17

Using DF within POPGROUP

cons.xls

DFSupply.xls

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POPGROUP

Slide 18

The impact on population of a housing plan

Page 19: UK industry standard for sub-national areas

POPGROUP

Slide 19

DF - comparison of scenarios

Example: LeedsHousehold impact of alternative population forecasts

DFCompare.xls

Hou

seho

lds

300,000

320,000

340,000

360,000

380,000

400,000

420,000

440,000

460,000

480,000

2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024 2025 2026

Migration-ledMigration-led revisedNatural ChangeSNPP 2008

PopGroup All

Category: Total

Year

Proj_ID

Page 21: UK industry standard for sub-national areas

POPGROUP

Slide 21

Observations

• POPGROUP – aims to satisfy local planning needs– replicates official ‘trend’ projections– is not restricted to any time or place– does not (yet) support projection of rates from a past time series

• Relies on work external to model– encourages users’ own policy-led scenarios and alternative

demographic assumptions