state bank of pakistan · comments of the participants 88 closing session 90 closing/concluding...

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Compiled by: Dr. S. M. Husnain Bokhari Junior Joint Director Statistics Department State Bank of Pakistan Karachi. Ph: 021-2453628

2nd Users -Producers Workshop on Co l laborat ion among Data Co mpi l er s & Users

3

TTaabbllee ooff CCoonntteennttss FFOORREEWWOORRDD 0055

IINNAAUUGGUURRAALL SSEESSSSIIOONN 0077

Introductory and Welcome Address by Managing Director of NIBAF 07

Opening Remarks by Deputy Governor of SBP 08

IINNTTRROODDUUCCTTOORRYY SSEESSSSIIOONN 1111

Session Summary 11

Presentation on Statistics Produced by SBP by Director Statistics Dept. of SBP 13

TTEECCHHNNIICCAALL SSEESSSSIIOONN –– EEXXTTEERRNNAALL SSEECCTTOORR 1199

Session Summary 19

Presentation on Balance of Payments by SBP 22

Presentation on International Reserves & Foreign Currency Liquidity by SBP 29

Presentation on International Investment Position by SBP 34

Presentation on Foreign Trade by FBS 39

Presentation on External Debt by EAD 42

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Session Summary 45

Presentation on Population Statistics by NIPS 47

Presentation on Population Statistics by PCO 50

Presentation on Analytical Accounts of the Central Bank by SBP 54

TTEECCHHNNIICCAALL SSEESSSSIIOONN –– RREEAALL SSEECCTTOORR 5577 Session Summary 57

Presentation on National Accounts 59

Presentation on Price Statistics 63

Presentation on Labour Force Survey 67

Presentation on Production Index 71

TTEECCHHNNIICCAALL SSEESSSSIIOONN –– MMIISSCCEELLLLAANNEEOOUUSS SSEECCTTOORRSS 7744

Session Summary 74

Presentation on Statistics compiled by Security Exchange Commission

of Pakistan 74


4

Presentation on Statistics compiled by Bureaus of Statistics 77

PPLLEENNAARRYY GGRROOUUPP RREECCOOMMMMEENNDDAATTIIOONNSS’’ 8833

Session Summary 83

Recommendations for External Sector 83

Recommendations for Financial & Fiscal Sector 83

Recommendations for Socio-Demographic Data Sector 85

Recommendations for Real Sector 86

Recommendations for Miscellaneous Sectors 87

Comments of the Participants 88

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Closing/Concluding Remarks by Mr. Struck, Advisor, FBS 90

Note of Thanks by Director Statistics 91

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Day 1 – July 25, 2006 (Tuesday) 92

Day 2 – July 26, 2006 (Wednesday) 93

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5

FFeeww wwoorrddss aabboouutt tthhee WWoorrkksshhoopp During the recent past, the Statistical System of Pakistan has significantly evolved in response to

the increasing demand for quality statistics to manage and monitor economic developments in

the country. The statistical organizations have made good progress in adopting international

standards and dissemination practices to improve the understanding and availability of statistics

required for planning, research and decision making at various levels. However, much remains to

be done in establishing a high degree of coordination among the data compiling organizations

and users of the statistics.

The user feedback on the relevance of the statistics produced by the statistical agencies is

essential for developing a coherent statistical system. The quality of data produced by various

statistical organizations can be improved through feedback from users by holding seminars,

workshops and mutual coordination. It is very important for the data users to know the

methodology of compiling and computing data and its limitations before attempting to analyze it.

At the same time, it is also necessary for the data compilers to collect and present the data in a

comprehensive manner. Many misperceptions about the data are removed and credibility of the

compiling agencies improves with proper understanding and rapport between the users and

producers of data.

As a first step in this direction, the Statistics Department of State Bank of Pakistan organized two

2-days workshops on "collaboration among data compilers and users" to improve coordination

among data compilers and users. The main objective of conducting these workshops was to

enhance collaboration among all statistical organizations, to make efforts for effective and

efficient production and usage of the statistics, and to create harmony in the needs and

availability of statistics.

The first workshop was successfully held on May 08-09, 2006 at Learning Resource Centre of

the State Bank of Pakistan, Karachi. The 2nd 2-days users-producers workshop was held at

National Institute of Banking & Finance (NIBAF), State Bank of Pakistan, Sector H-8/1, Pitras

Bukhari Road, Islamabad on July 25-26, 2006. The workshop was attended by the speakers

from Federal Bureau of Statistics, Banks, Provincial Bureaus, Export Promotion Bureau,

Newspapers’ Economic Reporters, media, Planning & Development, Economic Affairs Division,

Population Census Organization, Central Board of Revenue, National Institute of Population

Studies, Security Exchange Commission of Pakistan, Ministry of Food Agriculture and

2nd Users -Producers Workshop on Co l labora t ion among Data Compi ler s & Users

6

Livestock, Ministry of Finance, State Bank of Pakistan, World Bank, International Monetary

Fund, academicians, and researchers.

In addition to the inaugural, introductory and concluding sessions, the workshop comprised of

four technical sessions on external, socio-demographic, real, financial and miscellaneous sectors.

Plenary sessions encompassing these sectors were arranged for collective discussions, feedback

and suggestions for further improvements in the statistics relevant to sector based on experiences

of the participants.

The honourable Deputy Governor, State Bank of Pakistan inaugurated the workshop. Mr. K. K.

Suri Executive Director, Export Promotion Bureau and Dr. Naushin Mahmood Additional

Director, Pakistan Institute of Development Economics chaired the technical sessions on external

and socio-demographic sectors on the 1st day of workshop. Dr. N. M. Larik Ex–Director

General, Federal Bureau of Statistics and Dr. Faqir Muhammad Chairman Department of

Economics, Allama Iqbal Open University chaired technical sessions on real & financial sector

and miscellaneous sectors on the 2nd day of the workshop.

The proceedings provide valuable and updated information on statistics compiled by agencies as

was delivered by the presenters/speakers in the workshop. We hope that this document would be

useful for analysts, researchers and policy makers using official statistics in providing them the

information on methodology, coverage and dissemination practices of the compilers and will

help them to identify gaps in the statistical system of the country.

We acknowledge with thanks the efforts of all those involved in organizing this workshop. Our

special thanks go to the members of steering committee, presenters, the chair persons of the

technical sessions and the closing sessions. We are also indebted to Dr. Ishrat Hussain, Ex-

Governor for his patronage and encouragement for initiating this project, continuous guidance of

Economic Adviser, and the patronage and personal interests of the Deputy Governors and

Governor State Bank of Pakistan.

The Team


7

IInnaauugguurraall SSeessssiioonn The inaugural session started with recitation from the Holy Quran. Dr. Azizullah Khattak,

Director, Statistics Department invited Mr. Kazi Abdul Muktadir, MD – NIBAF to welcome the

participants of the workshop.

WWeellccoommee AAddddrreessss bbyy MMDD –– NNIIBBAAFF Honourable Deputy Governor, Mr. Mansur-ur-Rehman Khan, distinguished guests, Ladies and

gentlemen,

At the outset, I thank Mr. Mansur-ur-Rehman Khan for sparing his valuable time to inaugurate

the “Workshop on Collaboration among Data Compilers & Users”. The patronage of Governor

and Deputy Governors of SBP, for arranging this workshop is a reflection of their vision,

involvement and support for the development of a sound, efficient and effective statistical

system of Pakistan.

Ladies and Gentlemen: I am also thankful to you all for sparing your precious time to attend this

workshop.

Initiating the Project “Collaboration among the data producers and users” Statistics Department

of SBP aims at developing a highly interactive environment among analysts, decision makers

and the information providers from all over the country leading to produce high-quality and

meaningful statistics coping with the needs of the users at national as well as at international

level.

With the purpose of achieving this goal, we conducted a similar workshop at Karachi during

May 2006. The workshop was attended by a large number of researchers and representatives

from various field of life and useful suggestions were provided for improvements in the

statistical system of Pakistan. I am sure that implementation of these recommendations will lead

towards significant improvements in the existing system. The involvement of the statistical

organizations and the users of data in the relevant areas play a pivotal role in establishing a

sound ground for accomplishment of the sublime mission. The improvement in the quality of

statistical product largely depends upon the adoption of modern technologies, innovation in the

field, transparency in the processes of collection, compilation and dissemination, and most

importantly, the users’ feedback on effectiveness of the data. Through the workshop, we are


8

trying to provide a forum for interaction and communication between the two parties for the

achievement of the common goal.

I am thankful to the representatives and coordinators of all organizations for their participation

and involvement in the process of conducting this workshop. We hope to get benefits from the

presence of the organizational Coordinators, technical committees and the presenters for success

of the workshop.

During the plenary session of the workshop in the areas of External, Real, Fiscal, Financial,

Socio-demographic Data and Other sectors, useful recommendations are expected for improving

grey areas and identifying gaps in data requirements and availability in each sector. The Steering

Committees will also devise strategies for filling the gaps, improvements in the methodologies,

eliminate duplications and provide proposals for implementation based on workshops’

recommendations. These recommendations will be communicated to the relevant organizations

for implementation through the nominated coordinators. It is hoped that the workshop will

enhance interaction among users and producers of statistics and will lead towards improvements

in the quality of data through input by the participants.

In the end, I would like to thank you again and hope your active participation in this workshop

will be rewarding and enjoyable... Thanks

Now I would like to invite the chief guest, Mr. Mansur-ur-Rehman, the Deputy Governor of

SBP. With his deep insight and in depth understanding, he now holds as a senior central banker

in Pakistan. Besides his involvement in managing affairs of the central bank, he supervises and

controls the management and development of information system in the State Bank. Very

humbly, I would now request Mr. Mansur-ur-Rehman to inaugurate the workshop and deliver his

inaugural speech.

DDeeppuuttyy GGoovveerrnnoorr’’ss IInnaauugguurraall SSppeeeecchh Kazi Abdul Muktadir, Managing Director, NIBAF, Dr. Azizullah Khattak, Director Statistics,

Heads of Research institutions, Chief Executive Officers of various organizations, Distinguished

participants, Ladies and Gentlemen !


9

I feel pleasure to be among you to inaugurate the workshop on “Collaboration among Data

Compilers & Users”. This is the second workshop, which the Statistics Department of State

Bank has organized to enhance interaction among data compiling organizations and data users.

The first workshop conducted at Karachi on May 08–09, 2006, received useful feedback from

the participants of the workshop for further improving the quality of the statistical data.

Today’s workshop is another step ahead towards a sound, effective and efficient statistical

system in the country. The workshop will strengthen interactions between statisticians, policy

makers, analysts and researchers. It will improve relevance and quality of statistics produced by

various statistical organizations, thus increasing the level of satisfaction and confidence amongst

the users. The workshop would also help the participants in enhancing their understanding on

the compilation methodologies, identifying gaps in need and availability of statistics through

mutual discussions and interaction. The quality of statistics is assured in the context of being “fit

for use” and the extent to which information serve the purpose for which it is produced. The

users’ feedback in this workshop will assist the data compilers for setting their priorities in future

and pave the way towards a coherent statistical system. I would therefore, expect the workshop

to bring together information on key statistical activities currently undertaken by the statistical

organizations and to identify what more can be done to further improve the quality and timely

availability of statistics.

Statistics produced and financed by the government not only serve the need of government for

efficient administration and management but also for long-term policy formulation. It must also

serve the need of the public to monitor the activities of government and the change in public well

being. The statistical organizations are therefore, required to pay ample attention to the

dissemination of statistical outputs, make it easier to access, and use by the public. Adequate

feedback from users of statistical products would give appropriate signals to the managers of

statistical agencies for investment in new activities.

In today’s age of information technology, the statistical information has gained enormous

importance for effective decision-making process. Timely, accurate, reliable and result oriented

decisions whether taken at an individual level or at an organization or country level are highly

dependent on the quality, reliability and timely availability of the statistical data. Therefore, we

need to adopt best practices in all dimensions of data quality including legal framework,

automation in processes, relevance, accuracy, timeliness, comparability and accessibility.


10

There has been a strong temptation for statistical agencies to undertake new data gathering

activities to satisfy the government machinery and the international organisations for monitoring

their programmes. This sometimes leads to duplication of work among these agencies. Besides

the data compiled often varies significantly which not only create doubts in mind of users but

also involve time consuming and costly reconciliation process. An open dialogue among all

organizations with a strong sense of partnership, sharing of needs and users’ feedback would be

effective in addressing these issues. Better coordination among data producers and users needed

to sustain a well-harmonized, nationally agreed set of data, which is up-to-date and easily

accessible. The National Statistical Council, as a governing body can significantly contribute to

inter-agency coordination.

The ever-increasing innovations in various sectors of the economy, rapid growth of knowledge

base and the rapid changes in the social, demographic and economic scenarios led to a strong

demand for innovation, creation and sophistication in methodologies used for compilation of

statistical data. At the same time users’ feedback is very important in adding value to the

statistical products and in helping the data compiling agencies to evolve in the face of the

changing scenarios. Notwithstanding their individual role, a high degree of cooperation and

coordination is also required among statistical agencies for creation of a coherent statistical

system, efficient use of the available databases and development of a system harmonized with

the international standards of quality and dissemination.

I hope that this workshop will educate the data users on the methodologies used in data

collection and processing and will improve confidence among the public about official statistics.

It will prove to be a milestone in increasing interaction amongst the data compilers and users.

The event will increase awareness of the importance of good statistics and will lead towards

enhanced cooperation and building trust on the statistics generated by the statistical

organizations.

In the end, I would like to congratulate the Statistics Department for taking the initiative in

organizing this workshop and I am confident that this interaction would result in generating

efficient and effective statistics.

I sincerely thank you for allowing me to share my thoughts and wish you all a fruitful and

enjoyable workshop.


11

IInnttrroodduuccttoorryy SSeessssiioonn

SSeessssiioonn SSuummmmaarryy Dr. Azizullah Khattak, Director, Statistics Department started the technical session with a

detailed presentation on the functions of Statistics Department, State Bank of Pakistan. The

objective of this session was to give an introduction of Statistics Department and to highlight the

business process of the department. The annual business plan of the regular operational

functions of the department and the developmental projects initiated during the recent past to

improve its existing compilation methodologies in line with the international practices as well as

to adopt new developments in the era were put across in the presentation. The important statistics

compiled and disseminated under the operational plan on daily, monthly, quarterly, half-yearly,

and annua basis was presented in detail.

Dr. Khattak said, the department has initiated a number of developmental projects to improve the

quality of data being compiled as well as to meet the international standards. Today’s workshop

is also a part of one the developmental projects to enhance Collaboration among Data Compilers

and Users. The 1st two-days users-producers workshop on Collaboration among Data Compilers

& Users was successfully held at Learning Resource Centre, State Bank of Pakistan, on May 08-

09, 2006 at Karachi. It was attended by a large number of users from various sectors of economy

and useful feedback received for further improving the quality and scope of the statistics

presently compiled. He hoped that these workshops will enhance interaction among users and

producers of statistics and will lead towards improvements in the quality of data through input by

the participants.

At the end of his presentation, he explained Workshop’s program and objectives of various

sessions of the workshop. The participants of the workshop were divided into five groups

according to five data categories for the plenary sessions and their specific relevance to a

particular area. He emphasized on the importance of the plenary session and requested the

participants to actively participate in this session and provide their candid feedback on the

shortcomings in scope, coverage, methodologies of the statistics to be presented by the data

compiling organisations. The user’s feedback would be very important for the data compiling

agencies to further enhance scope, coverage and quality of data to be produce in future. This

feedback will be used in preparing the final recommendations of the workshop and will be

conveyed to relevant organisations for implementation. Steering Committees of organisational

Coordinators from each data compiling agency will monitor progress and report the status of


12

implementation to the SC. He hoped that recommendations of the workshop will help to set

future direction of the compilation methodologies and dissemination processes of the Statistical

System of Pakistan. Dr. Khattak emphasized the participants for time management during the

workshop and their candid feedback.

2nd Users -Producers Workshop on Col laborat ion among Data Compi lers & Users

13

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Slide 1 Slide 2

Mission Statement

Two-Day Users-Producers Workshop

FUNCTIONS OF STATISTICS

DEPARTMENT

State Bank of Pakistan

"Our mission is to ensure timely dissemination of high quality statistics for the monetary and macro-economic policies leading to the prosperity of Pakistan"

Slide 3 Slide 4

Components of the Business Process

Operational: Compilation and dissemination of statistics

according to the specification of annual Business Plan

Developmental: Projects aimed for innovation and

improvements in methodologies to: ● bring it in line with the international standards ● cater the growing needs of the stakeholders ● improve the quality, transparency and timeliness of the statistics compiled ● adopt new developments

Operational Functions Compilation and dissemination of the following statistics:

(Monthly) • Balance of payments statistics

• Statistics on import payments and export receipts,

• Workers’ remittances

• Foreign direct & portfolio investment

• Weighted average lending & Deposit rates

• Loans & Deposits classified by borrowers – ISIC classification

• Pakistan monetary survey

• Institutional distribution of funds

• Statements of stocks and utilization of FCA

Slide 5 Slide 6

Main Functions continued…

(Quarterly)

Main Functions continued…

(Annual) • Compilation of fixed industrial investment in private sector

• Outstanding stock of external debt &

liabilities and debt servicing

(Half Yearly) • Statistics of scheduled banks – various dimensions

• Statistics of Co-operative banks – various dimensions

• Seasonal adjustment of important data series

• Survey of foreign investment & liabilities/assets • International Investment Position (IIP) • Ownership of federal government debt • Analysis of balance sheets of joint stock companies listed on KSE (non-financial) • Estimates of flow of funds accounts • Equity yield of ordinary shares quoted at KSE


14

Slide 7 Slide 8

Main Functions continued… Publications (11 +)

• Position of SCRA

(Daily) Publication

Statistical Bulletin Export Receipts

Frequency

Monthly Monthly

• Index numbers of stock exchange securities traded at KSE

Statistics on Scheduled Banks in Pakistan Export Receipts Annual Report (Statistical Annexure) Pakistan’s Balance of Payments Balance Sheet Analysis of Joint Stock Co’s listed at Karachi Stock Exchange Banking Statistics of Pakistan Equity Yields on Ordinary Shares Foreign Liabilities & Assets and Foreign Investment in Pakistan

Index Numbers of Stock Exchange Securities Handbook of statistics on Pakistan’s economy Updating statistics on SBP Website

Half Yearly Annual Annual Annual Annual Annual Annual Annual

Annual 5 years

Regularly

Slide 9 Slide 10

Key Developmental Projects

• Adoption of HS classification of commodities for trade data

• Implementation of 5th Manual for compilation of

Balance of payments

• Coordinated Portfolio Investment Survey

• Review of all publications on the basis of users’ feedback

• Adoption of ISIC for classification of private sector business

• Implementation of SNA 93 for compilation of FFA

• Compilation of IIP

Key Developmental Projects • Implementation of MFSM 2000

• Seasonal adjustment of data

• Handbook of statistics on Pakistan economy

• Preparation of Data Revision Policy

• Data Dissemination Policy

• Improve effectiveness of banking and

monetary data … in progress

• Collaboration among data compilers and users

Slide 11 Slide 12

Key Developmental Projects Collaboration among data compilers and users

Objectives • To establish interaction among data providers & users • to create awareness on the methodologies and

availability of statistics • to identify shortfalls in scope and coverage of available

data .to identify gaps in availability and needs of users

• to formulate strategies and recommendations for filling gaps

• implementation of strategies relating to SBP

Pakistan Balance of Payments • Provides an account of all economic transactions with

rest of the world • Compiled under Balance of Payments Manual BPM5 • Source: Banks, SBP, Exchange Cos, Foreign &

Pakistani, shipping/air Cos, EAD, Pak/Foreign diplomatic missions, etc


15

Slide 13 Slide 14

Pakistan external debt & debt servicing

• Stock: Public & publicly guaranteed loans by EAD

• Private non-guaranteed loans, loan IMF, Forex liabilities by SBP.

• List of all private loans agreements from EPD,

disbursement / payment reported by banks. Data on forex liabilities from SBP and banks

• Servicing Compiled on the basis of monthly

reporting by banks and reconciled with EAD on quarterly basis. Private debt servicing reported by banks reconciled with payment schedules submitted with the loan agreement

Workers’ Remittances • Scope: Remittances received from Pakistani

workers living abroad for one year or more on account of family maintenance

• Information on amount, country and currency

reported on monthly basis • Source: Banks and Exchange companies • Use BoP, Government ministries, International agencies, SBP web

Slide 15 Slide 16

Foreign Direct Investment (FDI) • Scope: 10% or more of the equity of an

enterprise held by non- resident • Portfolio investment – less than 10% Flows

compiled on monthly basis • Stock on annual basis • Components: Cash reported by banks (amount,

currency, country, company) • Re-invested earnings – through annual survey

• Capital equipments – through annual survey

• Compiled by country and economic groups • Use: BoP, Government Ministries, International agencies, SBPweb

Weighted Average Lending & Deposit Rates • Very important tool for monetary policy • To monitor the “spread” • Compiled for all

– outstanding loans & deposits – fresh disbursements & deposits

• Used by SBP, Government Ministries & disseminated through SBP web for general users

Slide 17 Slide 18

Pakistan Monetary Survey

• Provides a measure of foreign assets, domestic credit and liquidity position (broad money M2) in the market at a specific time

• Useful tool for SBP in performing its basic

functions

• Compiled under the guidelines of MFSM through reporting by banks and SBP

• Used by SBP, supplied to IMF and disseminated

through SBP web and publications

Foreign Liabilities & Asset Survey

• To compile stock position of foreign assets

and liabilities including FDI and portfolio investment

• All foreign companies, Pakistani Cos having

foreign participation and Pakistani firms operating abroad are covered (900)

• Variables covered, see table • Data used for compilation of IIP and

disseminated through a publication


16

Slide 19 Slide 20

Foreign Investment Survey Import Payments and Export Receipts Foreign Liabilities

A. Short Term Debt

a) Capital

b) Debt payable to Non- Residents on or before December,31

B. Long Term

Debt a) Capital

b) Debt payable to Non- Residents on or before December,31

C. Holding of Securities and shares as nominees, agents or custodian

Foreign Assets A Short Term

a) Deposit abroad

b) Loan and Advances to Non-

Residents

B. Long Term

a) Time Deposits

b Loan and Advances to

Non-Residents

c) Securities Shares &

Debentures

• Scope: Export receipts realized and Import payments

made through banking channel • Fob basis • Information on amount, commodity (HS), currency and country • Transactions not covered by banks (land borne trade, EPZ,

personal baggage, Imports under foreign economic assistance) are collected from the relevant sources

• Use: BoP, Government Ministries, International agencies, SBP

web through statements and publications

Slide 21 Slide 22

Flow of Funds Accounts

• Accounts provide information on sources and use of funds among various sectors of economy and the financial instrument being used

• Information on Income, expenditure, saving,

investment, lending and borrowing of each sector of economy

• Under SNA 93, data collected through

questionnaire through a survey

• Information collected through questionnaire from Financial institutions (banks, DFIs, NBFIs), corporate sector (cos listed at stock exchange), non listed having foreign participation, NPIs

Fixed Industrial Investment in Private sector • Data on banks long term investment in private

sector for capital formation • Data compiled by economic groups based on the classification of ISIC • Data can be used for studying the performance of various sectors

Slide 23 Slide 24

Credit Classified by Borrowers

• Data useful for devising credit plan, monetary policy and to study the performance of various sectors of economy

International Investment Position (IIP) IIP shows stock of an economy’s external asset and liabilities at a particular point of time

• information on borrowing by Government,

PSEs, Private sector classified by ISIC, NBFIs, Non Profit Organizations & Consumer Finance

• Used in compilation of PMS and Government Ministries

Assets Direct investment Portfolio investment

– Equity securities – Debt securities

Other investment – Trade credits – Loans

Reserve Assets

Liabilities Direct investment

Portfolio investment

Other Investment


17

Slide 25 Slide 26

Seasonal Adjustment of Data

Most of banking and economic data follow seasonal patterns and unadjusted data is usually misleading

Data series of advances, deposits, imports, exports, workers’ remittances, borrowing from SBP, currency in circulation, M1 and M2

The analysis is carried out regularly according to the frequency of the data series

Index Numbers of Stock Exchange Securities Objective To measure changes in the prices of shares traded at KSE for the 641 Cos listed at KSE. Coverage The index of share prices cover ordinary shares of all companies traded at KSE on a particular day Scope Overall and economic group wise general index, sensitive index and market capitalization on daily basis

Slide 27 Slide 28

Balance sheet analysis of joint stock companies listed at KSE

Objective

Objective

Equity yields on ordinary shares

To evaluate the performance of non-financial Cos /sectors listed at KSE

through various indicators developed from the data provided in Cos’

published annual reports

Coverage

The analysis is based on the published annual reports of non financial

sector companies listed at KSE

Scope

The performance indicators include:

• Current ratio

• Debt equity ratio

• Cash flow ratio

The term yields indicates return per hundred rupees of capital cost of investment. The objective of the study is to evaluate the performance of different investments in ordinary shares. Coverage

All listed companies

Scope

Overall, economic group-wise indicators such as

• Dividend yield

• Earning yield

• Index of dividend

• index of earning

Slide 29 Slide 30

Half yearly Statistics on Scheduled Banks

• Objective To provide comprehensive and reliable statistics

covering major aspects of banking such as. – Deposits

• By category of deposit holder • By type of account • By rate of return

– Advances • By borrower • By collateral • By rate of margin retained • By rate of return

– Bills purchased and discounted – Investment

• By institution • By securities

– Liability & Asset

Ownership classification of Federal Government Debt

Sources (2000)

• Scheduled & Cooperative banks • NBFCs • Insurance Companies • Govt sponsored institutions • Other public institutions • Local authorities • staff provident funds • Joint stock companies

Classification of debt

. Federal Govt securities/bonds • National prize bonds • National saving schemes • Treasury bills


18

Slide 31 Slide 32

Users-Producers Workshop

Special Convertible Rupee Accounts (SCRA)

Scope: Special accounts of Non-residence

for investment in stock exchange securities

Flows used as proxy for foreign portfolio investment

Flows in SCRAs compiled on daily basis to monitor foreign investment in stock exchanges

Country-wise statement disseminated daily on SBP web

Final Request • Time management

• Uses’ Feedback

Slide 33

Thanks


19

TTeecchhnniiccaall SSeessssiioonn oonn EExxtteerrnnaall SSeeccttoorr

SSeessssiioonn SSuummmmaarryy

The objective of this session was to review the scope, coverage, compilation methodologies of

the data on external sector to users for their feedback. The were presentations on the external

sector were in the area of Pakistan’s Balance of Payments, Data Template on International

Reserves and Foreign Currency Liquidity, International Investment Position, Foreign Trade

Statistics of Pakistan and External Debt. Speakers were from the State Bank of Pakistan, Federal

Bureau of Statistics and Economic Affairs Division. Mr K.K. Suri, Senior Econmist &

Consultant Export Promotion Bureau chaired the session.

Mr. Zafar, Joint Director, Statistics Department, SBP presented the compilation methodology on

Pakistan’s Balance of Payments. After introduction, he discussed the basic concepts and

importance of BOP data being used by government authorities for monitoring economic

activities, devising appropriate balance of payments mechanism and evaluating various

economic strategies. Academia, researchers, policy makers and international bodies such as IMF,

World Bank and other external stakeholders also use BOP data to assess performance of the

country’s external sector. Elaborating further, he said, BOP statistics is compiled both in Pak.

Rupees as well as in Us Dollar on monthly, quarterly and annual basis. He discussed standard

components of BOP and system of compilation under the guidelines of the 5th manual of Balance

of Payments. Regarding periodicity and timeliness of BOP data, Mr. Zafar explained, monthly

data is finalised by the time lag of 35 days, whereas quarterly data by one quarter after the

reference period. Data collection procedures from all sources will also discussed in details.

Mr. Ghulam Rabbani, Assistant Director, Accounts Department, SBP gave a detailed

presentation on Data Template on International Reserves and Foreign Currency Liquidity. He

started his presentation by explaining the background and importance for developing a data

template and its scope and coverage. He then discussed the New Data Template Framework that

captures several dimensions of country’s international reserve & related currency obligations.

The template includes information on the liquidity of country’s international reserves,

identifying encumbered assets, and its exposure to exchange rate fluctuations, he further

explained.


20

Mr. Shamsul Arifeen, Junior Joint Director, Statistics Department, SBP presented the conceptual

framework of International Investment Position (IIP), its compilation methodologies and

dissemination process and practices. He discussed in detail the concepts and definition of

International Investment Position. Explaining further he said that since information on

components of IIP are compiled by more than one agency, a strong coordination is therefore

important among all the stakeholders. Moreover data on the subsets of the IIP need to be

consistent with each other. At the end of his presentation he discussed the classification of IIP its

links with BOP and sources of the required data. It was informed that with the compilation of

IIP, the SBP has fulfilled all the requirements for SDDS of IMF. The data on IIP is disseminated

on SBP website as well as in the Annual report of SBP.

Mr. Khalid Siddiqui, Director, FBS gave a detailed presentation on foreign trade statistics of

Pakistan. He informed that Foreign Trade Statistics is essential for planning of economic

development, framing trade policies, conducting trade negotiations, making bilateral, regional

and international arrangements for promotion of trade. He explained the historical background of

foreign trade statistics and methodologies used for it compilation. He clarified that FBS records

the data on the basis of movement of goods into or from Pakistan’s Custom boundary.

Explaining further he said that imports statistics includes all merchandise coming from foreign

countries into Pakistan through lawful channels under private and government accounts via sea,

air, land routes, parcel post released by the customs either directly or form the bonds. The goods

imported and deposited into bonds are not taken into account. Goods exported and returned to

Pakistan by the importing countries without any modification or change in the original form or

shape are considered re-imported and excluded from imports. At the end of his presentation, he

also gave details for dissemination of trade data in different national and international

publication.

Malik Muhammad Afaq, Assistant Chief, Economic Affairs Division gave presentation on

external debt statistics. At the outset, he discussed the dissemination and uses of external debt

statistics. He explained in detail the classification of external debt by creditors and debtors, types

of loan and modes of disbursements. He also discussed in details the problems of data collection,

and application of DMFAS, the external debt monitoring system. The dissemination practices of

external debt data were all discussed.

At the end of the presentations, the participants were invited for questions on classification,

comments on methodologies of the statistics presented in the sessions.


21

Mr. K. K. Suri, Senior Economists and Consultant, Export Promotion Bureau concluded the

session with his remarks on the importance of statistics on external sector and various issues

presently faced by the external sector data. He suggested that data on export and import of

services should be compiled by SBP for a more clear picture of country’s exports and imports as

shown in the BOP account. He also suggested HS Code System needs further expansion for

enhancing its coverage up to 10 digits (which is currently up to 8 digits).


22

PPrreesseennttaattiioonn oonn PPaakkiissttaann‘‘ss BBaallaannccee ooff PPaayymmeennttss BByy MMrr.. ZZaaffaarr IIqqbbaall,, JJooiinntt DDiirreeccttoorr,, SSttaattiissttiiccss DDeeppaarrttmmeenntt,, SSBBPP Slide 1 Slide 2

Pakistan’s

Balance of Payments Presentation for

Workshop:

Collaboration among Data compilers & Users

On 25-26/07/2006 NIBAF, Islamabad

By Zafar Iqbal Joint Director

Statistics Department State Bank of Pakistan

Slide 3 Slide 4

INTRODUCTION

„ What is BOP ? „ Why is it important ? „ Who does Compile it ? „ Periodicity and Timeliness? „ Conceptual Framework & standard

Components of BOP „ Data Sources ? „ System of compilation. „ Dissemination

Legal Framework of Pakistan’s

Balance Of Payment Under the Foreign Exchange Regulation Act 1947, the State Bank is monitoring and regulating Foreign Exchange policies including collection, processing and dissemination of all external sector data like reserves, trade statistics, balance of payments, workers’ remittances, foreign direct and portfolio investment, debt servicing, etc.

Slide 5 Slide 6

What is BOP ?

Balance of payments is a statistical statement designed to provide for a specific period of time, a systematic record of an economy’s transactions with the rest of the world.

An “economy” is comprised of economic entities (residents) that have closer association with that specific economy than with any other. Economic entities that have closer association with other economies are nonresidents.

CONCEPTUAL FRAMEWORK OF

BOP „ BOP primary registers transactions

between residents and non-residents. „ BOP deals with flows. „ BOP uses double entry accounting system. „ BOP adopts the principal of accrual

accounting (time of recording). „ BOP are normally expressed in domestic

currency or in stable unit of account.


23

Slide 7 Slide 8

Principles and Concepts

„ Double-entry System The basic convention of a BOP statement is the DOUBLE ENTRY ACCOUNTING SYSTEM in which every transaction is represented by two entries of equal values. If for example an exporter receives foreign

Cont….

currency in payment for goods, a credit entry would be recorded in the BOP accounts for export of goods and offsetting debit entry would be recorded for exports increase in foreign currency bank balance. In BOP these entries would be recorded as:

Credit Debit

Merchandise 100 .. Foreign Currency Assets .. 100

Slide 9 Slide 10

„Why is it important ?

The balance of payments statistics are used for a number of reasons within a country and worldwide. The most frequent users are:

Domestic Economic Policy

Government authorities are constant users of balance of payments and other statistics in carrying out their responsibilities of monitoring economic activity, formulating recommendations an appropriate balance of payments and domestic economic policies and evaluating various economic strategies.

„Why is it important ? International Uses Regional balance of payments statistics are used both by the Pakistan’s authorities and by the authorities of partner countries to monitor developments in economic relations between Pakistan and those countries or specific country grouping. Pakistan’s balance of payments is used by academic and business observers as well as by policy maker around the world in monitoring developments in the worldwide payments position and in comparative studies of trends in the balance of payments of various countries. BOP data is also used by international bodies such as IMF, World Bank and other external stakeholders etc.

Slide 11 Slide 12

Who does it compile

„ Statistics Department of State Bank of Pakistan is responsible to compile Pakistan’s Balance of Payments Statistics (BOP) as per IMF format (BPM5)

Periodicity and Timeliness „ Monthly (highly provisional),

Quarterly and Annually.

„ Monthly: By the time lag of 36 days

after the reference Month.

„ Quarterly: By the time lag of one quarter after the reference period.


24

Slide 13 Slide 14

Standard Components of BPM5

„ Minimum disclosure by an economy in a coherent manner is known as Standard Components

Current Account

Exceptiona l financing

Capital

Account Financial Accounts

Errors &

Omissions Slide 15 Slide 16

Standard Components of BOP Standard Components of BOP-

Contd…

„ I. Goods FOB Credit Debit Net

„

„ General merchandise. „ Goods for processing. „ Repairs on goods. „ Goods procured in ports by carriers „ Non-monetary gold.

„ II. Services Credit Debit Net ™ Transportation.

™ Travel.

™ Communication ™ Construction

™ Insurance

™ Financial

Slide 17 Slide 18

Standard Components of BOP- Contd…

„ II. Services Credit Debit Net

™ Computer and information

™ Royalties and license fees

™ Other business services

™ Entertainment

™ Cultural and recreational ™ Government services


� III. Income Credit Debit Net

¾ Compensation of employees ¾ Investment income � ► Direct investment � ► Portfolio investment � ► Other investment � • Monetary authority � • General govt. „ • Banks „ • Others „ .


25

Slide 19 Slide 20

Standard Components of BOP- Standard Components of BOP-

Contd… Contd… V. Capital account Credit Debit Net

„ IV. Current transfers Credit Debit Net

„ General government „ Other sectors „ ► Workers’ remittance . � ► Resident FCAs . � ► Others .

� Capital transfers General government

• Debt forgiveness • Others

Other sectors • Debt forgiveness • Others

� Acquisition/disposal of non-produced non-financial assets

Slide 21 Slide 22


VI. Financial account Credit Debit Net

Direct investment

Direct investment abroad Direct investment in reporting economy

� Portfolio investment

Portfolio investment – Asset

Portfolio investment – Liability

� Financial Derivatives


¾ Other investment Credit Debit Net

Assets • Trade Creditors • Loan • Currency and Deposits • Other assets

Liabilities

• Trade Creditors • Loan • Currency and Deposits • Other assets

Slide 23 Slide 24


¾ Reserves Assets Credit Debit Net

BALANCE OF PAYMENTS INPUT

™ Monetary gold ™ SDRs ™ Reserve position in the Fund. ™ Foreign exchange ™ Other claims

VII. Errors and omissions –Net VIII. Exceptional financing.

Sector

0

Source

All Authorized Dealers

Reporting

ITRS Forms/

Summary statements & Schedules

BOP Head

Goods, services,

income. Current transfers, capital account and financial account.

Description

Exports, imports, services

(transportation, travel, Communication, Construction, Insurance, Financial, Computer & information, royalties & license fees, other business services and government) current transfers( workers’ remittances, private donation, official donation) capital transfers, Financial account (Direct investment, portfolio investment, other investment and reserves assets)


26

Slide 25 Slide 26

1 Accounts Department SBP Abstract containing

Goods, services, income. Current transfers, and financial account t

Imports, services (transportation, travel, Communication, Construction, Insurance, Financial, Computer & information, royalties & license fees, other business services and government) current transfers( workers’ remittances, official donation), Financial account (Direct investment, portfolio investment, other investment and reserves assets)

3 Pak Diplomatic Missions abroad

4 Customs/Duty Free

Shops

Statement of accounts

Statement of Non-financial transactions between residents and non-residents

Services and financial account

Goods and current transfers

Government services (Earnings –credit * expenditure – debit) and balances under financial account Imports and its contra is adjusted under current transfers ( other sectors).

5 Survey of Foreign

Invest. & Liabilities. Capital equipment

Imports, income and Financial

Imports (capital equipment), reinvested

2 Foreign Airline/Shipping Companies

Freight and passage form

Exports, transportation, Travel and Financial account

Freight on Exports, passage earnings, local disbursement and outstanding balances (other liabilities of Financial account)

brought in Re- account invested earnings,

earnings (investment income) and contra is adjusted under direct investment in Pakistan (cap.eq. + reinvested earnings)

Slide 27 Slide28

6 Economic Affairs Division

7 Economic Affairs Division

8 All Authorized Dealers &

SBP

9 Abandoned

10 FBS/SBP/ Ads /EDMD

Status Report of EAD

Status Report of EAD

F.E.Returns, SBP abstract. Repayment advises by EAD and repayment sch. of for. private enterprises

Hard copy - no specific Performa

Goods and services, current transfers and capital account

Goods, services, and Financial account

Financial account

Goods, services, investment income, current transfers and Financial account assets,

Imports, services (transportation, insurance, government) current transfers(General Govt.) and Capital transfers(General Govt.) .

Imports, services (transportation, insurance, government) and financial account( loans long-term and short- term)

Financial account (Repayment of principal long-term & short-term official and private un-guaranteed)

Adjustment of outstanding export bills in Exports ant its contra under Financial account (assets). Adjustment of land borne exports & imports and adjustment of resident FCAs under current transfer. Adjustment of principal payments of sp. $ bonds under financial account (portfolio investment – govt. securities )

11 Abandoned

12 Pakistani

Airline/Shipping Companies

13 Foreign embassies

and offices of international org. in Pakistan

14 Exchange Companies

Statement of Summary of Foreign exchange receipts/pay ments

Statement of earning and expenditures in Pakistan ITRS/ Summary & schedules

Goods, services, investment income and financial account Goods and services, General Government, Direct investment Goods, services, current transfers

Freight on export, freight & passage collection from abroad, loans receipts , imports , oil/fuel purchased from abroad interest payments under investment income , principal payments and reserves under financial account. Data on earning and expenditures in Pakistan.

Imports, travel, royalty, other business services, workers’ remittances, other current transfers

Slide 29 Slide 30

General Merchandise f.o.b. ƒ EXPORT (FOB)

a) Exports c. & f. (exchange record) b) Less freight on exports by foreign Air / Shipping cos. c) Less freight on exports by Pakistani Air / Shipping

cos. d) Timing adjustment

i) increase ii) decrease

e) Unrequited exports f) Others

i) Export of crude oil ii) Export Credits iii) Land borne exports iv) Export samples

„ IMPORT (FOB) a) Imports c.f. (exchange record )

b) Less freight on import ( 8% ) c) Imports under personal baggage/ NRI d) Unclassified imports

e) Imports under foreign economic

assistance f) Others

i) Capital equipment ii) Land borne

iii) PIA/PNSC vi) Saudi Oil Facility


27

Slide 31 Slide 32

Services

„ Export & Imports of Services „ Transportation „ Travel „ Communication Services „ Insurance Services „ Financial Services „ Computer & Information Services „ Royalties & License Fees „ Other business services „ Personal & cultural & recreation „ Govt. Services

OUTSTANDING EXPORT BILLS

„ I. Total value export bills outstanding on the last day of the proceeding month

„ II.Total value of exports i.e. documents negotiated/sent on collection basis during the reporting month

„ III.Total exports proceeds realized during the reporting month

„ IV.Total value of exports bills outstanding on last day of the reporting month (I+II- III)

Slide 33 Slide 34

Imports Under F.E.Assistance

Imports under Foreign Economic Assistance

Project loans CASH

NET Imports( 76.5% ) Freight (7.65% ) Insurance ( .85% ) Tec. Assistance ( 15.0% )

Project Grant CASH

NET Imports( 76.5% ) Freight (7.65% ) Insurance ( .85% ) Tec. Assistance ( 15.0% )

Slide 35 Slide 36

Imports Under F.E.Assistance Dissemination Formats „ Hard Copy

IDB

Imports( 90.0% ) Freight ( 9.0 % ) Insurance ( 1.0% )

„ News Release „ Publication „ Weekly „ Monthly “Statistical Bulletin” (English) „ Quarterly „ Annual “Pakistan's Balance of Payments” (English) „ Other

Private un-guaranteed loans Cash

Net Imports( 91.0% ) Freight ( 9.0 % )

„ Electronic „ Internet http://www.sbp.org.pk „ Other Online „ CD-ROM „ Diskette „ Other (specify) „ None


28

Slide 37 Slide 38

Dissemination Reports „ Monthly/Quarterly/Annual Balance of Payments (BOP) „ IMF Table-2003. Standard format, Summary BOP-BPM5

and Summary BOP-MOF format-BPM4. „ Workers’ Remittance – Country wise „ Foreign Direct Investment Country wise & Sector wise „ Portfolio Investment - Country wise „ Forget Currency Accounts & its Utilization „ Quarter wise Debt servicing „ Quarter wise Outstanding stock Foreign debt/liabilities „ Export receipts –Monthly & Annual „ Balance of Payment Booklet- Quarterly/Annual Country

wise & County groups i.e. OIC, EEC, EE & I.I etc

Dissemination Reports „ Weekly/Monthly Gold and Foreign

Exchange Reserves. „ Foreign Exchange Budget „ Quarterly Report form of IMF „ Outstanding Export Bills „ Imports payments by commodities „ Invisible & Capital Receipts /

Payments

Slide 39 Slide 40

QUESTIONS AND

ANSWERS


29

PPrreesseennttaattiioonn oonn DDaattaa TTeemmppllaattee oonn IInntteerrnnaattiioonnaall RReesseerrvveess aanndd FFoorreeiiggnn CCuurrrreennccyy LLiiqquuiiddiittyy BByy MMrr.. GGhhuullaamm RRaabbbbaannii,, AAssssiissttaanntt DDiirreeccttoorr,, AAccccoouunnttss DDeeppaarrttmmeenntt,, SSBBPP Slide 1 Slide 2

Data Template on International Reserves and Foreign Currency Liquidity

Presented By:

Ghulam Rabbani Assistant Director

Financial Accounts Division, Accounts Department, SBP, Karachi

Background ƒ International Financial crisis in the late 1990s ƒ Country experiences highlighted the importance of

accessing foreign exchange liquidity from a broader perspective

ƒ IMF and the working group of the Bank for

International Settlements (BIS) Committee on the Global Financial System, jointly developed in 1999 the new data template

ƒ On March 1999, the template was made a component

of the Special Data Dissemination Standard (SDDS) established by the IMF in 1996

Slide 3 Slide 4

Data Deficiencies Revealed by Financial Crisis in the 1990s:

• Some countries include pledged assets in reserve

assets

• foreign currency deposits held in financially weak

domestic banks

• Valuation practices could depart significantly from

market values

• Coverage of international reserve assets varied

among countries

Lack of Publicly Available Information on Official Short-term Foreign Currency

Obligations: • off-balance sheet activities • data on forward commitments of foreign

exchange under financial derivative contracts • information on options • information on principal and interest payments in

foreign currency on loans and advances • Information on government foreign exchange

guarantees and callable debt. • unused conditional lines of credit

Slide 5 Slide 6

The New Data Template Framework

• The new data template captures several dimensions of country’s international reserve and related currency obligations and addresses the inadequacies described before

• Takes account of the off-balance sheet activities • Takes note of the future schedule and potential

flows of contracts involving financial derivatives such as options, forwards and futures as well as un-drawn credit lines and loan guarantees

• The template includes information on the liquidity of country’s international reserves, identifying encumbered assets, and on its exposure to exchange rate fluctuations

Forestalling Future Crisis • strengthen the accountability of the authorities on

policy action and foreign currency exposure • correction of unsustainable policies and limit the

adverse effects of contagion in times of financial turbulence

• It allows market participants to form a more accurate view of the condition of individual countries

• Access to more transparent data may also enhance the effectiveness of the multilateral organizations.


30

Slide 7 Slide 8

Overview of the Data Template The Scope

• Reserve Assets:

“External Assets that are readily available to and controlled by monetary authorities for direct financing of payments imbalances, for indirectly regulating the magnitude of such imbalances through intervention in exchange markets to affect the currency exchange rate, and /or for other purposes.” (BPM5 para. 424)

Foreign Currency Liquidity • “Amount of foreign exchange resources that is

readily available taking into account both predetermined and contingent/potential net drains.”

• Broader concepts of reserves foreign Currency liquidity includes: A-Foreign Currency Resources: ¾ Official Reserves ¾ Other Foreign Currency Assets B-Predetermined and contingent net drains on foreign currency resources.

Slide 9 Slide 10

Foreign Currency Liquidity

Reserve Assets Foreign Currency Liquidity Foreign Currency Resources Foreign Currency drains

(Outflows net of inflows)

Reserve Assets of Monetary Authorities

Foreign Currency resources of monetary authorities and central governments (authorities) and

International Reserves (official Reserve

Other foreign currency

Predetermined drains Contingent drains

drains on these resources.

Claims on nonresidents Foreign currency claims on and obligations to residents and nonresidents.

Assets) assets Foreign currency liabilities

Financial derivative: Positions on forwards, swaps and

Continge nt foreign currency liabilities

Financial derivative: Positions on options.

Based on balance-sheet framework

Foreign currency inflows and outflows resulting from both on and off-balance sheet activities.

future.

Slide 11 Slide 12

Key Features of the Template

A) Institutions Covered:

• Monetary Authorities - It is a functional concept - Hold and manage international reserves - Encompass the central bank and certain central

banking operations carried out by government institutions or commercial banks.

• Central government (excluding social

security fund): - The political authority of the central government

extends over the entire territory of the country. - State and local governments and social security

funds at all levels are excluded.

B) Financial Activities covered: • Only instruments settled in foreign currency are to

be included in resources and drains. As these can directly add to or subtract from the liquid foreign currency resources.

• Instruments denominated in or linked to foreign

currency but settled in domestic currency will not directly affect liquid foreign exchange, but can exert substantial indirect pressure


31

Slide 13 Slide 14

C) Treatment of financial derivative activities:

• The template covers: ¾ Predetermined foreign currency flows pertaining to the authorities’ forwards, futures, and swap contracts ¾ Potential flows arising from options positions ¾ Net, marked to market value of outstanding financial derivative contracts

• The template focuses financial derivatives settled in foreign currencies. (NDF and options settled in domestic currency are reported as memo items.

• Separate information is to be reported for short and long positions.

• Stress testing is to be included to assess risk exposure to fluctuations in exchange rates.

D) Valuations Principals: • Positions are to be valued at market prices on the

reference date or at approximate market values. • Drains on foreign currency resources are to be

valued at nominal terms. (i.e cash flow value when the currency flows are to take place.)

• For financial derivatives: ¾ Inflows and outflows in nominal terms for forwards, futures, and swaps ¾ Notional values for options ¾ Net, marked to market values for outstanding financial derivative contracts.

Slide 15 Slide 16

E) Time Horizon:

• As the focus is on liquidity, the time horizon is short-term, up to one year. Further time horizon is proposed for assessing liquidity positions ¾ up to one month ¾ More than one month and up to three months ¾ More than three months and up to one year

• Residual maturity is used to determine the time

horizon.

Other Reporting and Dissemination

Considerations : • Currency:

Currency same as used to disseminate data on official reserves.

• Reference Date: End date of reporting period. (Usually month end) ¾ Positions are the outstanding stocks. ¾ Flows are anticipated amount within the reference period. ¾ Transaction dates are used for determining time of recording.

• Sign Conventions: ¾ Plus (+) for assets and inflows ¾ Minus (-) for liabilities and outflows ¾ Items not applicable are left blank

Slide 17 Slide 18

Other Reporting and Dissemination Considerations

• Country Notes to Disclose Information:

¾ Country-specific exchange rate arrangements ¾ Specific reserve management policies ¾ Accounting Practices ¾ Statistical treatment of some financial transactions

• SBP data template is disseminated on its website

http://www.sbp.org.pk/ecodata/liquidity.pdf

• Monthly frequency of dissemination

• More details on data template standards at IMF: http://www.imf.org/external/np/sta/ir/index.htm

Major Sources of Data • Accounts Department, SBP • SBP Banking Services Corporation Bank • Exchange Policy Department, SBP • Exchange and Debt Management

Department, SBP


32

Slide 19 Slide 20 International Reserv es and Foreign Currency Liquidity (Inform ation to be dis clos ed by m onetary authorities and other central governm ent, excluding s ocial s ecurity)

I.Official reserve assets and other Foreign Currency Assets (approximate market value)

(Million US $)

As on 31st January 2006

A.Official reserve assets 10,954.06

(1) Foreign currency reserves (in convertible foreign currencies) 9,561.47

II. Predetermined short-term drains on foreign currency assets (nominal value)

Maturity breakdown (residual maturity)

Up to More than 1 More than 3 1 month month and up months and

(a) Securities 3,172.55

of which: Issuer headquarted in reporting country but located aboard. 1. Foreign currency loans, securities,

Total to 3 months up to 1 year

(b) total currency and deposits with: 6,388.92 and deposits6 -2,091.47 -210.54 -316.40 -1,564.53

(i) other national central banks,BIS and IMF 304.69

(ii) banks headquartered in the reporting country

of which:located abroad 63.82

(iii) banks headquartered outside the reporting country 6,020.41

—outflows (–)

—inflows (+)

Principal -1,338.68 -153.56 -232.73 -952.39 Interest -752.79 -56.98 -83.67 -612.14 Principal Interest

of which:located in the reporting country

(2) IMF reserve position 0.17

(3) SDRs 218.00

(4) Gold (including gold deposits and,if appropriate,gold swapped) 1,174.42

— volume in millions of fine troy ounces 2.065

(5)other reserve assets (specify)

— financial derivatives

— loans to nonbank nonresidents

— other

B.Other foreign currency assets (specify)

— securities not included in official reserve assets

— deposits not included in official reserve assets

— loans not included in official reserve assets

— financial derivatives not included in official reserve assets

— gold not included in official reserve assets

— other

of which:issuer headquartered in reporting country but located abroad

2.Aggregate short and long positions in forwards and futures in foreign currencies vis-à-vis the domestic currency (including the forward leg of currency swaps)7

(a) Short positions (–)

(b) Long positions (+)

3. Other (specify)

—outflows related to repos (–)

—inflows related to reverse repos (+) —trade credit (–) —trade credit (+)

—other accounts payable (–)

—other accounts payable (+)

-245.00 -145.00 -100.00 0.00

0.00 0.00 0.00 0.00

Slide 21 Slide 22

III. Contingent short-term net drains on foreign currency assets (nominal value)

Maturity breakdown (residual maturity,

where applicable) More than

(b) with banks and other financial

institutions headquartered

in the reporting country (+)

(c) with banks and other financial

institutions headquartered Up to 1 More than 3

month outside the reporting country (+)

1. Contingent liabilities in foreign currency

(a) Collateral guarantees on debt falling

Total

1 month and up months and to 3

months up to 1 year Undrawn, unconditional credit lines

provided to:

(a) other national monetary authorities,

due within 1 year 2,700.00 * 2,700.00 (b) Other contingent liabilities 1,755.25 ** 1,755.25

2. Foreign currency securities issued with embedded options (puttable bonds)8

3. Undrawn, unconditional credit lines9 provided by:

(a) other national monetary authorities,

BIS, IMF, and other international

organizations

—other national monetary authorities (+)

—BIS (+)

—IMF (+)

BIS, IMF, and other international

organizations

—other national monetary authorities (–)

—BIS (–)

—IMF (–)

(b) banks and other financial institutions

headquartered in reporting country (–) (c) banks and other financial

institutions

headquartered outside the reporting

country (–)

Slide 23 Slide 24

(2) + 5% (depreciation of 5%)

4. Aggregate short and long positions

of options in foreign currencies

vis-à-vis the domestic currency 10

(a) Short positions

(i) Bought puts

(ii) Written calls

(b) Long positions

(i) Bought calls

(ii) Written puts

PRO MEMORIA: In-the-money options11

(1) At current exchange rate

(a) Short position

(b) Long position


(a) Short position

(b) Long position

(3) – 5% (appreciation of 5%)

(a) Short position

(b) Long position


(a) Short position

(b) Long position

(5) – 10% (appreciation of 10%)

(a) Short position

(b) Long position

(6) Other (specify)

Gua ra ntee s ha ve be en issue d on behalf of Centra l Gove rnment and bodies/authoritie s controlle d by it.

Othe r contigent liabilitie s include Lette r of cre dits issued on behalf of Ce ntral Government and bodies/a uthorities controlle d by it.


33

Slide 25 Slide 26

IV. Memo items

(1) To be reported with standard periodicity and timeliness: 12

(a) short-term domestic currency debt indexed to the exchange rate (b) financial instruments denominated in foreign currency and settled by other

means (e.g., in domestic currency) 13

—nondeliverable forwards —short positions —long positions

—other instruments

(c) pledged assets 14

—included in reserve assets —included in other foreign currency assets

(d) securities lent and on repo 15

—lent or repoed and included in Section I —lent or repoed but not included in Section I —borrowed or acquired and included in Section I —borrowed or acquired but not included in Section I

(e) financial derivative assets (net, marked to market) 16

(-) 245.00 —forwards (-) 35.00 —futures —swaps (-) 210.00 —options —other

(f) derivatives (forward, futures, or options contracts) that have a residual maturity greater than one year, which are subject to margin calls. —aggregate short and long positions in forwards and futures in foreign

leg of currency swaps) (a) short positions (–) (b) long positions (+)

—aggregate short and long positions of options in foreign currencies vis-à-vis the domestic currency

(a) short positions (i) bought puts (ii) written calls

(b) long positions (i) bought calls (ii) written puts

(2) To be disclosed less frequently: (a) currency composition of reserves (by groups of currencies)

—currencies in SDR basket 10,908.24 —currencies not in SDR basket 45.82 —by individual currencies (optional)

Slide 27

THANK YOU


34

4

PPrreesseennttaattiioonn oonn IInntteerrnnaattiioonnaall IInnvveessttmmeenntt PPoossiittiioonn BByy SShhaammssuull AArriiffeeeenn,, JJuunniioorr JJooiinntt DDiirreeccttoorr,, SSttaattiissttiiccss DDeeppaarrttmmeenntt,, SSBBPP Slide 1 Slide 2

Welcome to Users- Producers workshop

July 25 - 26, 2006

Presentation on International Investment Position By

Shamsul Arifeen Junior Joint Director

State Bank of Pakistan Karachi

1 2

Slide 3 Slide 4

International Investment Position (IIP) Definition

“ The IIP is a statistical statement that shows an economy’s stock of external financial assets and

liabilities at a particular point. This stock is the result of past external transactions measured according to current market values (current

market prices and exchange rates) and other factors (for example, write-offs or

reclassifications) at a specific point. ”

International Investment Position

Conceptual Framework

3 Slide 5 Slide 6 Conceptual framework-concepts

International Investment Position (IIP) Stock of External Financial Assets and liabilities

(Financial Claims and Liabilities) ( Equity Assets and liabilities )

(Financial derivatives) (Monetary Gold and SDRs)

Net IIP Difference between owned and owed

Conceptual framework-concepts

Changes in IIP z Stock measured at a point in time

z Changes between two time points Transactions Non-transaction changes

( price changes,exchange rate movements,other changes )

z Reconciliation of the IIP Statement 5 OP + Tx + PC + XR + OC = CP 6


35

Slide 7 Slide 8

Conceptual framework-concepts

Where : OP = Opening Position Tx = Transactions PC = Price Change XR = Exchange Rate Change OC = Other Changes CP = Closing Position

Conceptual Framework- Relationship to other Statistics National net worth – IIP is partial balance sheet of economy – IIP + non-financial assets = National net

worth

7 8

Slide 9 Slide 10

Conceptual Framework- Other terms

IIP = Stock of External financial assets and liabilities

“ Stock ” includes ‘Valuation’ and ‘Timing’ And

“ External ”requires definition of ‘Residence’

9


Valuation z Current Market Prices z Book values as proxy for illiquid assets z Nominal values for non-market items z Net present value (NPV) for non-traded securities Timing z Time when claims and liabilities arise z Based on accrual accounting

– Timing of ownership change – Proxy when recorded in books

10

Slide 11 Slide 12


z Residence is an important attribute in IIP

because the identification of transactions between residents and nonresidents underpins the system

z Identical concepts of residence are used in

BPM5 and the 1993 SNA


Three Questions: z What is the institutional unit? z What is the economic territory? z Which territory is the unit closely connected

with?

11 12


36

13

Slide 13 Slide 14


The residents of an economy comprise the following types of institutional units: 1. Households

z Includes the individuals who make up a household 2. Enterprises

z Financial and non-financial corporations z Unincorporated businesses

3. Non profit institutions serving the households 4. Government


The economic territory of a country is the relevant geographical area to which the concept of residence is applied. z A geographic territory administrated by a

Govt.within this,persons,goods,and capital circulate freely.

z Free trade zones z Usually a country, but not necessarily

– Economic and monetary unions – International organizations like IMF and UN 14

Slide 15 Slide 16


Concepts of residence: z Economic connection of a unit to an economic

territory – Not based on nationality or legal criteria – Not based on currency used

z Expressed as a economic unit’s Center of economic interest


Center of economic interest z Dwelling,place of production, or other

premises,within the economic territory of the country on,or from,which the unit engages,or intends to engage,in economic activities and transactions on a significant scale,for an indefinite or long period

15 16

Slide 17 Slide 18


z Households and Individuals – The BPM5 guidelines to be used for determining

residence: “ The presence or the intention to be present for a period

of one year or more” z Exceptions

– Diplomatic representatives – Member of the armed forces – Students – Medical patients


z Enterprises – An enterprise has a center of economic interest

and is a resident unit of a territory when the unit is engaged in a significant amount of production and plans to do so over an indefinite or long period of time.

– One year guideline by BPM5

– Crew members 17 18


37

Slide 19 Slide 20


Particular types of enterprises z Operator of mobile equipment

– The residency of airlines, railway, trucking and shipping will be based on the residence of the operating unit.

z An enterprise operating in more than one economy – Divide operations-identify “unincorporated branch” as

separate institutional unit – Criteria used:

z Separate account z Subject to income tax z Substantial physical unit

Conceptual Framework-

Classification Assets and liabilities As per balance sheet z Assets-holders are residents z Liabilities –issuers are residents z Financial claims and liabilities

z Evidenced by a contract or security z Specified payments of interest and capital

z Receive funds on its own account (not as an agen1t9) 20

Slide 21 Slide 22

Conceptual Framework- Classification

z Equity claims and liabilities z No fixed claim / liability z Financial derivatives z Monetary gold and SDRs

– Assets with no corresponding liability


Direct Investment z Obtain / sustain lasting interest in enterprise z Significant degree of influence on management z Practical definition

– At least 10 % holding of ordinary shares,voting power or equivalent

– Three Instruments – Equity – Reinvested earnings – Capital (borrowings)

21 – Reverse Investment 22

Slide 23 Slide 24


Portfolio Investment z Equity and debt usually traded in organized

markets z Investment for the purpose of portfolio

diversification instead of having influence on the management

z Two Instruments – Equity securities(Less than 10% holdings) – Debt Securities (Short-term and Long-term)

23


Other Investment z Trade Credits z Loans z Currency and Deposits z Others Reserves Assets z Monetary Gold z SDRs z Reserves position in IMF z Foreign Exchange

24 z Other


38

Slide 25 Slide 26

Summary - International Investment Position

25

Data sources - IIP Domestic Statistical Sources: z Banks' External Assets and Liabilities z Monetary Authorities’ External Assets and

Liabilities z General Government External Debt z Other sector Domestic Non-statistical Sources z Financial Statement z Foreign Investment Approval z Financial Press

26

Slide 27

Thank You

27


39

PPrreesseennttaattiioonn oonn FFoorreeiiggnn TTrraaddee SSttaattiissttiiccss ooff PPaakkiissttaann BByy MMrr.. KKhhaalliidd SSiiddddiiqquuii,, DDiirreeccttoorr,, FFeeddeerraall BBuurreeaauu ooff SSttaattiissttiiccss Slide 1 Slide 2

USER PRODUCERS WORKSHOP

Presentation on Foreign Trade Statistics

of

Pakistan

By

KHALID SIDDIQUI Director

Federal Bureau of Statistics Government of Pakistan

I- INTRODUCTION:

No country in today’s world can afford to remain in isolation. Countries have to import commodities from abroad which are either not produced in the country or are in short supply and also those which accrue some other benefits from their imports, commodities which are in surplus in the country are exported. Even if there are no surpluses, exports have to be made to pay off for the imports, which are essential for economic development of the country. Owing to competition, a country can obtain optimum advantage from its buying and selling in the world only through having adequate knowledge of trade data. Foreign Trade Statistics are also indispensable for planning of economic development, framing commercial policies, conducting trade negotiations, making bilateral, regional and international arrangements for promotion of trade.

Slide 3 Slide 4

II- HISTORICAL BACKGROUND: III- METHODOLOGY

Foreign Trade Statistics of Pakistan is being compiled regularly since 1947. Initially from 1947 to 1950 the ‘Department of Commercial Intelligence and Statistics’ of the Ministry of Commerce undertook the work of recording the trade statistics. The work of trade statistics compilation was taken over by Federal Bureau of Statistics (then Central Statistics Office) in September, 1950. In the beginning it continued to compile few series on trade statistics manually on the basis of weekly/monthly returns of imports and exports supplied by the land, sea and air customs. With the passage of time, improvements in the system of recording of trade statistics have been made gradually. A scheme for codification of trade information was introduced in early, 1952 and trade data were processed in the ‘Bureau of British tabulation unit’ and later strengthened on new IMB system in 1954, It further developed by installation of IBM Computer 260-30 by establishing a ‘Data Processing Centre’ in FBS in the 1969 and trade statistics was processed from July, 1970. The trade statistics is now being processed on Compaq Alpha Server DS20E System by ‘Data Processing Centre’ to meet the growing requirements of different users of trade statistics.

Pakistan is using methodology/guidelines contained in the U.N.Statistics Division (UNSD) manual for compilation of “International Trade Statistics, concepts and definitions in ESCAP region” which was finalized in January, 1983. Changes made by the UNSD have been taken into consideration from time to time and amendments are made in the compilation of Pakistan Foreign Trade Statistics, accordingly hence, FBS figures are recorded at the time of movement of goods into or from Pakistan’s Custom boundary.

Slide 5 Slide 6

IV- COVERAGE

a) Basic source of information: b) Harmonized Coding of Trade Data:

1 Bills of entry in case of imports and shipping bills in case of exports, which

have been modified/revised and named as “Goods Declaration” (GD) were the basic documents used in compilation of foreign trade statistics. The importers/exporters or their agents have to submit to the customs authorities ‘Goods Declaration’ (GD) for each consignment of imports or exports made by them along with copies of invoices for necessary clearance. One copy of each of these documents is being collected by the staff of FBS from each and every sea, air and land custom stations/points in the country except from Karachi Port, from where the FBS is getting G.Ds data from ‘CARE’ in computer readable form. G.Ds pertaining to IMPORT are controlled by cash number (Fresh Serial No. starts from 1st of each month) and in EXPORT by machine number (Fresh Serial No. starts from the day, when the National Budget is announced).

2. From July, 1989 to June, 2002, ‘Pakistan Statistical Trade

Classification Revision-3 (PSTC-R-3)’ was being used for compilation and dissemination of external trade statistics. In pursuance of the recommendation of United Nations Statistical Division (UNSD) for adoption of “Harmonized Commodity Description and Coding System” (HS) for compilation and dissemination of external trade statistics, the F.B.S started compilation of trade statistics through customs records on “Harmonized System” (HS) from July,2002.

3. The formation of ‘Harmonized Commodity Description and Coding

System’ (HS) and Pakistan Standard Trade Classification Revision-3 (PSTC R-3) are as under:


40

Slide 7 Slide 8

a) HS CODING SYSTEM HS Code at 2-digit level i.e. 01-97 represents “Chapters”.

Example:

Chapter 08 ‘Edible fruits & Nuts; (Peels of Citrus fruits and melons)

HS Code at 4-digit level represents “Heading Numbers”.

Example:

0804 – Dates, figs, pineapples & guavas. (Mangoes & mangoes teens fresh or dried)

HS Code at 6-digit level represents “Sub-Heading Numbers”.

Example: 0804.10 - Dates

HS Code at 8-digit level represents “National Sub-Heading Numbers”.

Example:

0804.1010 – Dates fresh

0804.1020 – Dates Dried

b) PSTC-R-3 Coding System PSTC-R-3 Code at 1 digit level 0-9 represents “Sections” Example:

Section 4 – Animal & Vegetable oils, fats & waxes. i) PSTC-R-3 Code at 2 digit level represents “Division Code Example:

Division 41 – Animal oil and fats. ii) PSTC-R-3 Code at 3 digit level represents “Group Code” Example:

411 - Animal oil and fats. = Group Code iii) PSTC-R-3 Code at 4 digit level represents “Sub-Group Code” Example:

4111 – fats and oils and their fractions of fish or marine mammals, whether or not refined, but not chemically modified = Sub Group Code. PSTC-R-3 Code at 5 digit level represents “Item Code” Example:

41111 – fish liver oil and their fractions = Item Code iv)PSTC-R-3 Code at 7 digit level represents “Sub-Item Code” Example:

4111101 – Cod liver oil = Sub Item Code. Slide 9 Slide 10

c) COMPILATION CRITERIA/COVERAGE:

4. Complete coverage is of utmost importance in compilation of foreign trade

statistics. Imports Statistics, include all merchandise coming from foreign countries into Pakistan through lawful channels under private and government accounts via sea, air land routes and by parcel post released by the customs either directly or form the bonds. Goods imported and deposited into bonds are not taken into account. Supplies and bunker fuels to ships are included in exports according to the colour of the ships. Imported goods subsequently re-exported to foreign countries without further modification are excluded from export statistics, lists are tabulated separately. Goods exported and returned to Pakistan by the importing countries without any modification or change in the original form or shape are considered re-imported and excluded from imports but tabulated separately.

d) EXPORTS/IMPORTS:

5. The following transactions of exports & imports are excluded from foreign trade statistics while compilation:

i) Articles of baggage and personal effects of passengers.

ii) Afghanistan Trade in transit through Pakistan

iii) Imports into bonds.

iv) Sale of imported goods in Duty Free Shops in Pakistan.

v) Defence Stores (If commercial value is declared on GD then the value will be included)

vi) Gold and Silver coins or Bullion and Currency Notes.

vii) Relief goods of no commercial value

Slide 11 Slide 12

e). PROCESSING OF TRADE DATA

6. Getting the G.Ds from all the customs collectorates, all over Pakistan. Transcribing them on transcription sheets and Capturing the data from these sheets. Producing the error listing and after fixing the error in the data, preparing the following reports from error free data.

i) Country by commodity. ii) Commodity by country

iii) By area and region (Direction of Trade) iv) By Economic Categories. v) By commodity group.

vi) Export by land and air. vii) Major items of imports & exports in terms of Rupees, and US

Dollars.

f) BASIS OF VALUATION:

IMPORTS: Imports are compiled on the basis of cost, insurance and freight (C.I.F) and import duty not included.

EXPORTS: Exports are compiled on the basis of free on board (F.O.B) and freight & insurance not included.

g) FOREIGN TRADE INDICES:

Foreign trade indices are being computed from the very beginning. Such indices were first computed with 1954-55 base. However, changes have been taking place from time to time in the composition and direction of trade, the base year of these indices have subsequently been changed to 1960-61, 1969-70, 1975-76 and 1980-81. As per decision of National Accounts Committee that the base of all economic indicators be shifted from 1980-81 to 1990-91, because of changes that took place during intervening period, accordingly new series of trade indices of quantum and unit values of exports, imports and terms of trade 1990-91 as base, are being computed since July,1991 on quarterly/annually basis.


41

Slide 13 Slide 14

h) COMPUTATION OF INDICES: Lspeyer’s formula is used in the computation of these indices which is as under:-

i) Unit Value Index

Σ Pn Qo IV= Χ 100

Σ Po Qo ii. Quantum Index

Σ Qn Po

IQ= Χ 100 Σ Qo Po

Where IV Stands for Index of Unit Values. IQ Stands for Quantity Index. Po Stands for Unit Value of each item in the base year. Pn Stands for Unit Value of each item in the current year. Qo Stands for Quantity data of each item in the base year. Qn Stands for Quantity of each item in the current year.

I) TERMS OF TRADE

1. The formula used in calculating the index of terms of trade as under:- Index of unit values of exports X 100 Index of unit values of imports

Example:- Terms of Trade calculation for the year 2004-2005 Index of unit values of exports X 100

Index of unit values of imports 288.84 ---------- X 100 = 73.60 392.45

J) RELEASE OF FOREIGN TRADE STATISTICS: Getting the totals figures of Imports & Export for each month from C.B.R and prepare the Summary on External Trade comprising of Import, Export and Balance of Trade for the Ministry of Commerce. An Advance monthly Release on foreign trade statistics giving quantity and value details of selected 34 items of exports and imports of the month alongwith data for the previous and corresponding months, cumulative since July and brief analysis of the trade performance is being prepared for the government functionaries and other agencies.

Slide 15 Slide 16

CUSTOM STATIONS/POINTS

PUNJAB 1 CHAKLALA DRY PORT 2 LAHORE DRY PORT 3 LAHORE AIR PORT 4 LAHORE RAILWAY STATION 5 LAHORE GPO 6 T.N.BAIG (SHAHPUR KANJRAN) DRY PORT 7 SIALKOT DRY PORT (AIR TRADE) 8 SIALKOT DRY PORT(BY SEA) 9 SIALKOT G.P.O. 10 FAISALABAD DRY PORT 11 FAISALABAD AIR PORT 12 MULTAN DRY PORT(BY SEA) 13 MULTAN DRY PORT (TRUST) 14 WARE HOUSE GUJRANWALA 15 WARE HOUSE GUJRAT 16 WARE HOUSE WAZIRABAD 17 WARE HOUSE SIALKOT 18 WARE HOUSE PINDI BHATTIAN 19 CUSTOM STATION AMANGARH 20 CHAKLALA DRY PORT (BY SEA)

BALOCHISTAN 1 QUETTA CUSTOM HOUSE 2 QUETTA AIR PORT 3 QUETTA RAILWAY STATION 4 CHAMAN CUSTOM STATION 5 GAWADAR PORT 6 ORMARA 7 TAFTAN 8 GIDIANI 9 CUSTOM HOUSE ZHOB 10 PASNI 11 N.L.C . DRY PORT QUETTA

SINDH 1 CUSTOM HOUSE, KARACHI 2 M.I.YARD 3 OIL TERMINAL, KARACHI 4 PORT MUHAMMAD BIN QASIM 5 KARACHI AIR PORT 6 KARACHI GPO 7 HYDERABAD DRY PORT 8 HYDERABAD AIR PORT 9 K.E.P.Z. (BY AIR). 10 K.E.P.Z. (BY SEA). 11 K.E.P.Z. (BY PORT QASIM). NWFP 1 PESHAWAR AIR PORT 2 PESHAWAR DRY PORT 3 CUSTOM STATION, TORKHAM 4 CUSTOM STATION, TAL (KOHAT) 5 CUSTOM STATION, BAKAKHEL (BANNU) 6 CUSTOM STATION, TANK (D.I.KHAN) 7 HATTAR (HARIPUR)

FEDERAL CAPITAL AREA 1 ISLAMABAD AIR PORT

K) DISSEMINATION OF TRADE DATA/PUBLICATIONS:

Foreign trade statistics of Pakistan are being disseminated in electronic readable form on CD/floppies. Publication and tabulation supplied to the following users:

a) International Users:

United Nations (UN) International Monetary Fund (IMF) World Bank Economic and Social Commission for Asia & Pacific (ESCAP) Asia Development Bank (ADB) World Trade Organization (WTO) South Asia Association for Regional Cooperation. (SAARC) Economic Cooperation Organization (ECO) Organization of Islamic Cooperation (OIC)

Slide 17 Slide 18

b) National Users:

i) Ministry of Commerce

ii) Ministry of Finance

iii) Planning Development Division.

iv) Export Promotion Bureau

v) State Bank of Pakistan

vi) Central Board of Revenue (CBR)

vii) Federation of Pakistan Chambers of Commerce Industry.(FPCCI)

viii)Chamber of Commerce & Industry. (CCI)

ix) National Accounts Committee.

x) Students, Researchers & Traders.

c) Foreign Trade Statistics are published in the following national publications:

1) Economic Survey of Pakistan 2) Statistical Pocket Book Punjab 3) Statistical Bulletin, State Bank of Pakistan

d) Trade Statistics are published in following International publications:

1) United Nations (UN) 2) International Monetary Fund(IMF) 3) Economic & Social Commission for Asia & Pacific.(ESCAP)

e) Foreign Trade Statistics are published by FBS in the following publications: a) Monthly Review of foreign trade (which is available on

website) b) Foreign Trade Statistics of Pakistan-Export & Import (annual) c) Monthly Bulletin of Statistics d) Pakistan Statistical Year Book e) Pakistan Statistical Pocket Book


42

PPrreesseennttaattiioonn oonn EExxtteerrnnaall DDeebbtt DDaattaa CCoommppiillaattiioonn BByy MMaalliikk MMuuhhaammmmaadd AAffaaqq,, AAssssiissttaanntt CChhiieeff,, EEccoonnoommiicc AAffffaaiirrss DDiivviissiioonn Slide 1 Slide 2

EXTERNAL DEBT DATA COMPILATION

MALIK MUHAMMAD AFAQ (ASSITANT CHIEF)

ECONOMIC AFFAIRS DIVISION

EXTERNAL DEBT External debt, at any given time, is the

outstanding amount of those actual current, and not contingent, liabilities that require payment(s) of principal and/or interest by the debtor at some point(s) in the future and that are owed to nonresidents by residents of an economy.

Slide 3 Slide 4

EXTERNAL DEBT DATA DISSEMINATION AND USES

CLASSIFICATION OF

EXTERNAL DEBT ACCOUNTING NEEDS •Disbursement

•Debt servicing

STATISTICAL COMPILATIONS •Balance of Payments

•National Accounts

MACROECONOMIC POLICY

•Sustainable Levels

•Fiscal & Monetary Policy

EXTERNAL DEBT DATA

GENERAL PUBLIC INFORMATION

•Status Report

•Economic Survey

• SBP Publications

DEBT MANAGEMENT

Maturity Debtors

Creditors

Slide 5 Slide 6

MATURITY CREDITORS

Short Term Official IMF Private Credit

Medium & Long Term


43

Slide 7 Slide 8

DEBTORS Evaluation Identification

Completion Preparation Project Cycle

Public and Publicly Guaranteed

Non-Guaranteed

Private

SBP (IMF

Credit) Implementation

Negotiation & Approval

Appraisal

Slide 9 Slide 10

TYPES OF LOANS TYPES OF DISBURSEMENTS

Project Non-Project

Commodity Advances

Direct Payments

Reimburse ments

Slide 11 Slide 12

PRIMARY SOURCES OF DISBURSEMENT

DATA

Donors

PROBLEMS OF DATA COLLECTION

• Late Provision of Disbursement Data • Inadequacy of Disbursement Data

– Difference of currencies – Difference of transactions

Executing Agencies SBP – Adjustments

Absence of Legal Backing


44

Slide 13 Slide 14

EXTERNAL DEBT MOINTORING SYSTEM

Debt Management and Financial Analysis

System (DMFAS)

FUTURE PLANS

DMFAS 5.3

Development Assistance

Database (DAD) Slide 15 Slide 16

NATIONAL PUBLICATIONS

DISSEMINATION OF EXTERNAL DEBT DATA

• Quarterly Status Report of Foreign Economic Assistance – www.ead.gov.pk

• Economic Survey – www.finance.gov.pk

• SBP Publications – www.sbp.org.pk

• Pakistan Statistical Year Book – www.statpak.gov.pk

Slide 17 Slide 18

INTERNATIONAL PUBLICATIONS

• Joint IMF-BIS-OECD & World Bank Statistics –http://www1.oecd.org/scripts/cde/members/de btauthenticate.asp

• Global Development Flows –www.worldbank.org

Thank You


45

TTeecchhnniiccaall SSeessssiioonn oonn SSoocciioo--ddeemmooggrraapphhiicc aanndd FFiinnaanncciiaall SSeeccttoorr

SSeessssiioonn SSuummmmaarryy

During the Socio-demographic Sector, Mr. Mehboob Sultan, Director, National Institute of

Population Studies (NIPS) and Mr. Ahsan-ul-Haq, Director, Pakistan Census Organisation

(PCO) made presentations on population statistics. On Financial Sector, Mr. Naseer Ahmed,

Joint Director, Statistics Department, made a presentation on Analytical Accounts of the Central

Bank and other Depository Corporation.

At the outset, Mr. Sultan, NIPS discussed the scope, coverage and periodicity of the statistics on

population compiled by National Institute of Population Studies. He discussed in detail the types

of data being collected and compiled by NIPS. Regarding collection of data, he said, all the

surveys are carried out on sample basis designed by the Federal Bureau of Statistics. Mr. Sultan

further elaborated that all questionnaires are pre-coded, carefully designed and tested. He briefed

about the characteristics of households and respondents. He also discussed the collection and

compilation procedures of population data on fertility, reproductive health, family planning,

infant, child health and mortality. He added that all the reports are discussed in the seminars

before their dissemination.

Mr. Saeed in his presentation on ‘Population Census’, discussed the scope, history and

importance of census undertaken by Pakistan Census Organisation. He pointed out that PCO, an

attached department of Statistics Division and is responsible is to organise and conduct

population and housing census in the country and disseminate its results in the form of reports,

generally at the district, provisional and national level. He further elaborated selection of topics,

census methodology, planning process, pre-census activities and enumeration activities. The data

collected through population census serves as bench mark for all types of socio-economic

development planning and evaluation. It provides basis for all administrative activities,

demographic research and various projections of population characteristics. Regarding the

census methodology, he explained two methods generally used for enumeration the canvasser

method and household method, canvasser method is being used for conducting census in

Pakistan.


46

Mr. Naseer during his presentation on Analytical Accounts of the Central Bank and other

Depository Corporations outlined the scope, coverage, periodicity and compilation

methodologies of the analytical accounts of scheduled banks and the central bank. The analytical

accounts are the analytical presentation of monetary aggregates covering the balance sheet of the

central bank, deposit money institutions, and other deposit accepting institutions. Talking about

the compilation methodologies, he said, these are compiled according to the guideline of MFSM

2000. He described various components of assets and liabilities and their consolidation and

presentation covered in these accounts. He also discussed all the sectors/sub-sectors of the

economy. At the end of his presentation, he gave the plan for improvements in the existing

compilation methodologies.

Concluding the session, Dr. Naushin Mahmood of PIDE, Chairperson of the session, praised the

SBP for holding the useful workshop on the kind of data different organization and institutions

are compiling and producing. The workshop has provided an opportunity to uses on the basic

synergies between the two (data users and producers) and where do we stand at this point.


47

PPrreesseennttaattiioonn oonn PPooppuullaattiioonn SSttaattiissttiiccss bbyy MMrr.. MMeehhbboooobb SSuullttaann,, NNIIPPSS

Slide 1 Slide 2

National Institute of Population Studies

Islamabad

Scope of Work Demographic and health surveys Evaluation of various components of Population Welfare Programme Population Projections Training

Slide 3 Slide 4

Coverage

Demographic and Health Surveys (National Level) Evaluation of FP Programme Components (National Level) Population Projections (National and Provincial levels) Training (Population programme personnel, Health programme & NGOs,

Periodicity

Demographic and Health Surveys – After every 3-4 years

Evaluative surveys/studies – On the request of MoPW

Population Projections – Periodic, on the request of Planning

Commission Training – Occasional but being made regular

Slide 5 Slide 6

Type of data collected

Characteristics of Households and Respondents

Household composition Age-sex composition of the household population Marital status Educational attainment Housing characteristics Possession of durable goods at HH level Exposure to mass media


48

Slide 7 Slide 8

Fertility

Fertility levels and trends Children ever born Birth intervals Age at first birth Teenage fertility Desire for children Sex preference for children Ideal family size Fertility planning Consanguineous marriages

Reproductive Health Antenatal, delivery and postnatal care Infertility Abortion AIDS/RTIs and STDs Health of women

Slide 9 Slide 10

Family Planning Infant, Child health and Mortality

Knowledge of family planning methods and sources Contraceptive use Knowledge of the fertile period Age at sterilisation Sources of supply and accessibility of contraception Cost of contraception Attitude of couples towards family planning Family planning messages on electronic media Acceptability of family planning messages on electronic media Intentions about future use of contraception Reasons for non-use of contraception Unmet need for family planning

Levels and trends in infant and child mortality Differentials in infant and child mortality Causes of death in early childhood High-risk fertility behaviour Immunisation of children Breastfeeding practices Nutritional status of children Indirect and direct estimation of maternal mortality Causes of maternal mortality

Slide 11 Slide 12

Collection Procedure Representative sample by FBS Household interviews (Ever married women of reproductive age-15-49 years) Pre-coded questionnaires Male / Female Interviewers (mostly post- graduates selected from respective areas) Qualitative studies (Focus group discussions, in-depth interviewers)

Compilation of Data Data entry software – (FOXPRO; PC edit; Microsoft Access;

CSPro etc)

Data analysis is done through SPSS


49

Slide 13 Slide 14

Dissemination Process Dissemination Seminars Distribution of reports through mail Soft copies of data set on request


50

PPrreesseennttaattiioonn oonn PPooppuullaattiioonn SSttaattiissttiiccss bbyy MMrr.. AAhhssaann--uull--HHaaqq,, PPCCOO Slide 1 Slide 2

POPULATION CENSUS

Population Census is the primary source of information on population size and its characteristics. The data collected through population census serves as bench mark for all types of socio-economic development planning and evaluation and provide basis for all administrative activities, demographic research and various projections of population characteristics.

Census taking is a universal practice and is undertaken in almost all countries of the world. Through population census a vast amount of data on all basic demographic and socio-economic variables is collected about each person living within country/territory. The main advantage of population census is the large amount of data it produces at one point of time and the availability of data at the lowest level.

z DEFINITION

Population census is total process of collecting, compiling, evaluating, analyzing and publishing / disseminating demographic, social and economic data of all persons in a country or a well defined territory, at a specified time.

Slide 3 Slide 4• CHARACTERISTICS OF CENSUS

i) Largeness to cover entire area / population I) AREA COVERED

SCOPE OF CENSUS

ii) Accuracy and reliability of information

iii) Time oriented activities

z ESSENTIAL FEATURES

i) INDIVIDUAL ENUMERATION-Implies that each individual is enumerated and his/her characteristics recorded separately

ii) UNIVERSALITY WITHIN A DEFINED TERRITORY-Census should cover the

entire country or well defined territory and include every person living therein

iii) SIMULTANEITY-Data collected should refer to the same well defined

reference period – generally the census day with specific time

iv) DEFINED PERIODICITY-Census should be taken at regular intervals so that comparable information is made available in a fixed sequence. A series of censuses makes it possible to appraise the past, describe the present and estimate the future

- Entire Area Of Pakistan including Tribal Areas (F A T A & P A T A) - AJK & Northern Areas covered on behalf of M/o Kashmir and Northern Affairs

II) POPULATION COVERED

- All persons living in above areas enumerated on de-jure and de-facto basis - Afghan refugees and special population groups living in camps / pockets

excluded - Foreign national living in Pakistan covered except diplomatic personnel

and their families - Seasonal migrants covered at place of residence on census date - Pakistanis living abroad not counted.

III) TOPICS OF INFORMATION COVERED

A) DEMOGRAPHIC & SOCIAL CHARACTERISTICS

- Age - Sex - Relationship to the head - Marital status - Religion - Mother tongue (language) - Nationality

Slide 5 Slide 6 B) EDUCATIONAL CHARACTERISTICS

- Literacy status - School attendance - Level of education completed - Field of education

C) GEOGRAPHICAL/MIGRATION CHARACTERISTICS

- Usual residence - District of birth - Duration of continues residence in district - District of previous residence - Reason of migration

D) ECONOMIC CHARACTERSTICS

- Type of activity - Occupation - Industry - Employment status - Reason of un-employment

E) FERTILITY MORTALITY - No. of children ever born alive by sex - No. of children still living by sex - No. of children born during last 12 months by sex - No. of children still living by sex F) MISELLENIOUS - Nature of disability if any - Immunization of children under 10 years of age - Holding of NI Card of persons 18 years plus


51

Slide 7 Slide 8

CENSUS HISTORY IMPORTANCE OF CENSUS

(SOCIO-ECONOMIC

1. First regular census in the areas now comprising Pakistan was held in 1881.

2. Since then regular censuses have been conducted after every ten years in the year ending at one.

3. After independence five censuses have been undertaken in 1951, 1961, 1972, 1981 and 1998.

4. Fifth census due in 1991 could not be conducted as scheduled due to some administrative / political reasons but was undertaken in March, 1998.

¾ Provide bench mark data for all socio-economic development plans / policies and their evaluation

¾ Provide basis for all administrative activities, demographic

research and projection of population to meet future requirements.

¾ Provide population data for smallest Admn. Units / areas. ¾ Establish sampling frame for intercensal sample surveys on

various topics and others statistical programs ¾ Provide changing patterns of urban / rural concentrations and

development of urbanized areas.

Slide 9 Slide 10 IMPORTANCE OF CENSUS

(LEGAL / CONSTITUTIONAL) SELECTION OF TOPICS

¾ Census also meets legal and political requirement:

- Provides basis for political representation to the National Assembly under article 51 (3) of the constitution.

- Population base used for distribution of funds to the federating units by the National Finance Commission formed under article 160 (2) of the constitution.

- Determines quota for recruitment to all civil posts in Federal Government.

¾ Mainly depends upon needs of data users

(planners, administrators and researchers)

¾ Continuity of census information – Traditional topics

¾ Quality of data collected in previous census

¾ Availability of qualified and dedicated field staff

¾ Ability of respondents in answering complex questions

¾ Availability of resources in term of money, men and technical capabilities

¾ International practice and UN / ESCAP recommendation

Slide 11 Slide 12 CENSUS METHODOLOGY PLANNING PROCESS

Methodology refers to methods employed for collecting data, different phases involved, use of sampling, etc.

¾ Canvasser method: information for each individual and living quarter

collected and recorded by enumerator through interaction with the respondent – generally used in illiterate population.

¾ In householder methods, the responsibility for recording information

on head / person in the housing unit however, questionnaire or usually distributed, collected and checked by census officials.

¾ Dejure verses defecto count: dejure count in all previous censuses

except 1981. Next census on dejure as well as defecto basis to provide counter check of total count.

¾ Use of sampling in enumeration to collect additional information.

ƒ Initial decisions about census taking / date

ƒ Consultation with data users

ƒ Census methodology – dejure / defacto

ƒ Determine different phases of census

ƒ Type of maps required

ƒ Determination of training procedure

ƒ Work out requirement of staff, equipment and supplies

ƒ Determine budgetary requirements and logistics.


52

Slide 13 Slide 14 PRE-CENSUS ACTIVITIES ENUMERATION ACTIVITIES

¾ Designing of questionnaires and their pre-testing

¾ Development of tabulation plan for census reports

¾ Preparation of field operation plan

¾ Delimitation of census areas to ensure complete coverage

¾ Preparation of maps to avoid omission/ duplication

¾ Development of sample design

¾ Plans for data entry / processing

¾ Preparation of training material

¾ Appointment and training of field staff

¾ Printing of census documents

¾ Logistic supplies

‰ House numbering / house listing to identify residential

and commercial etc. units and to prepare inventory of households.

‰ Census enumeration through door to door visit and interaction of enumerator with the head or responsible member of household.

‰ Supervision / monitoring to ensure accuracy in recording of information. Each supervisor to fill 20 forms of each block independently.

‰ Retrieval of filled-in documents according to delimitation of areas.

Slide 15 Slide 16

DATA PROCESSING

z Storage of documents by census areas / codes

z Manual editing of filled-in census forms for inconsistency, incompleteness and erroneous data

z Coding of open ended questions on occupation, industry,

district of migration, etc.

z Data entry for accurate and speedy transfer of data for further processing

z Computer editing and imputation of missing values

z Preliminary tabulation and consistency checking

z Final tabulation according to pre-determined tabulation plan

QUALITY CONTROL MEASURES

z Delimitation of whole country into small census areas i.e.

census blocks, circles etc. with boundary description to ensure complete coverage of area and population.

z Preparation/supply of maps of each census areas to avoid

omissions or duplication. z Proper training of all tiers of the field staff i.e. enumerators,

supervisors, superintendents. z Supervision and monitoring during all stages of census

operation. z Use of machine readable form/optical mark reader to

transfer data from census forms directly to computer to ensure accurate and speedy data entry.

Slide 17 Slide 18 DISSEMINATION OF DATA

ƒ Provisional Results

ƒ Advance tabulation on important characteristics

ƒ District Census Reports

ƒ Provincial / National Reports

ƒ Subject wise reports on important characteristics

ƒ Special area reports (Thar & Cholistan)

ƒ Analytical reports on important topics

ƒ Big city reports (population 3 lac & over)

ƒ Census Atlas giving geographical presentation of census

data

SALIENT FEATURE OF 1998 CENSUS ƒ BLOCK LEVEL MAPS PREPARED TO ENSURE COMPLETE COVERAGE

OF AREA / POPULATION AND AVOID UNDER / OVER ENUMERATION

ƒ NO MAJOR COMPLAINT ON OVER / UNDER ENUMERATION OF AREA /

POPULATION - EXPERTS ACCEPTABILITY

ƒ MOST SUPERVISED CENSUS - EVERY ENUMERATOR ACCOMPANIED

BY A PERSON FROM ARMED FORCES

ƒ COUNTER CHECK SYSTEM - THREE TYPE OF FORMS USED FOR

RECORDING POPULATION

ƒ DATA ENTRY THROUGH OMR TO ENSURE ACCURACY


53

Slide 19 Slide 20

ƒ QUICK CENSUS RESULTS

= 2 =

- PROVISIONAL RESULTS IN ABOUT 3 MONTHS TIME ( 4 MONTHS

IN 1981 CENSUS )

- ADVANCE TABULATION IN 10 MONTHS ( 21 MONTHS IN 1981

CENSUS)

- FINAL RESULTS IN 30 MONTHS ( 45 MONTHS IN 1981 CENSUS )

ƒ GROWTH RATE JUSTIFIABLE

ƒ EXTENSIVE TABULATION

- 52 STATISTICAL TABLE AGAINST 32 IN 1981 CENSUS

- 25 ANALYTICAL TABLES AT DISTRICT LEVEL AGAINST ONLY

ONE IN 1981 CENSUS

THANKS


54

2

PPrreesseennttaattiioonn oonn AAnnaallyyttiiccaall AAccccoouunnttss ooff CCeennttrraall BBaannkk aanndd OOtthheerr DDeeppoossiittoorryy CCoorrppoorraattiioonnss BByy MMrr.. NNaasseeeerr AAhhmmeedd,, JJooiinntt DDiirreeccttoo,, SSttaattiissttiiccss DDeeppaarrttmmeenntt,, SSBBPP

Slide 1 Slide 2

Analytical Accounts of Central Bank; and Other Depository Corporations

Workshop on “Collaboration Among Data Compilers & Users” July 25-26, 2006

Naseer Ahmad Joint Director State Bank of Pakistan (92 21) 921 2571 (92 21) 921 2569

1 [email protected]

Slide 3 Slide 4

Scope

Analytical presentation of monetary aggregates Meet international standards of:

Methodology Compilation and Dissemination Practices Transparency Quality Frequency and Timeliness Access to the public

Helpful in policy formulation Helpful in analysis and research

3

Coverage Covers balance sheets of:

The central bank Deposit Money Institutions Other Deposit Accepting Corporation

With details on: Sectors Financial instruments

4

Slide 5 Slide 6

Periodicity Compiled and disseminated on monthly basis

Timeliness Analytical accounts of the central bank usually NLT 15th of subsequent month

Analytical accounts for other depository corporations NLT 30th of subsequent month

Analytical accounts for depository corporations NLT 30th of subsequent month

5

Compilation Methodology Monetary Statistics in Pakistan

Month end compilation based on weekly statements

Month end compilation based on monthly reporting (Switch over) in September 2004 mostly in lines with MFSM2000

Month end compilation based on MFSM guidelines

6


55

Slide 7 Slide 8

Monetary and Financial Statistics Assets Liabilities

Financial sector Non-financial assets Financial assets Financial liabilities

Other sectors of the economy

Financial assets Financial liabilities

Non-financial assets

Monetary Statistics

Financial Statistics Flow of funds accounts

1. Currency and Deposits 2. Securities other than

shares 3. Loans 4. Shares and other equity 5. Insurance technical

reserves 6. Financial derivatives 7. Other accounts

receivable/ payable 8. Non-financial assets

1. Currency and Deposits 2. Securities other than

shares 3. Loans 4. Shares and other

equity 5. Insurance technical

reserves 6. Financial derivatives 7. Other accounts

receivable/ payable

SBP: Statistics Department 7 8

Slide 9 Slide 10

Sectors of the economy & residency criteria

Financial corporations

Non-financial corporations

Government

Non-profit institutions serving households

Household

9

Sub-sectors of financial sector Depository corporations

a) Central bank b) Other depository corporations

i) Deposit money institutions ii) Other deposit accepting institutions

Non-depository corporations c) Other financial intermediaries d) Financial auxiliaries e) Insurance corporations and pension funds

i) Life insurance corporations ii) Non-life insurance corporations iii) Pension funds 10

Slide 11 Slide 12 Stock and flows

Opening stock

Net transactions

Valuation changes

Other changes in volume

Closing stock

Analytical presentation of monetary and financial statistics

Central bank survey

Deposit money institutions survey

Other deposit accepting corporations survey

Other depository corporations survey

Depository corporations survey

Other financial corporations survey

Financial corporations survey

11 12


56

Slide 13 Slide 14

Sources of Data for Analytical Accounts

Analytical Accounts Presentation

State bank of Pakistan

Deposit money institutions

Pakistan Monetary Survey Analytical Accounts of State bank of Pakistan Analytical Accounts of Scheduled Banks

Other deposit accepting corporation

http://www.sbp.org.pk/ecodata/index.asp

13 14

Slide 15 Slide 16

Improvement Plans Most Welcome!

• Full utilizations of the initiatives under

MFSM-2000 implementation projects • Enhancement of data quality through

imparting training

Questions Comments

Ideas / Suggestions

15 16

Slide 17

17


57

TTeecchhnniiccaall SSeessssiioonn oonn RReeaall SSeeccttoorr

SSeessssiioonn SSuummmmaarryy The purpose of this session was to brief the participants on the scope, coverage, compilation

methodologies of the data on real sector for their view and suggestions for possible improvement

in statistics related to Real Sector. Presentations on National Accounts, Production index, Labour

Force Statistics and Price Statistics were given senior officials of the concerned divisions of

Federal Bureau of Statistics.

Mr. Arif Mehmood Cheema, Deputy Director General made a detailed presentation on National

Accounts compiled under system of National Accounts (SNA) by the Federal Bureau of

Statistics. The purpose and framework of Pakistan national accounts were discussed in the

presentation. FBS uses a combination of three approaches (production approach, income /cost

approach, and expenditure approach) to estimate National Accounts on annual basis. The GDP

deflator estimated under National Accounts can be used as a measure of inflation in the

economy. The estimation of Gross value added of agriculture sector, FBS is uses information on

twelve major crops and thirty seven minor crops, coverage of major crops will be enhanced in

future to cover eighteen major crops. For the Manufacturing Sector, the quantum index of

manufacturing takes about 400 industries as benchmark. Value added of other sectors were

explained in details. The presentation also distinguished the poor response from the stakeholders

for providing timely information.

Mr. Rana Ishaq, Director – Industries of FBS gave a comprehensive presentation on compilation

procedures of Industrial Statistics. After making an introduction of CMI he discussed its

objectives, scope and coverage of the statistics. The CMI is conducted through a CMI properly

designed and tested before census is conducted. Regarding Quantum Index of Large Scale

Manufacturing Industries (QIM), Mr. Rana said QIM is the indicator of real growth rate of value

added of Large Scale Manufacturing Industries. Elaborating further he pointed out estimates of

Small Scales Industries (SSI) are developed through surveys which are done after every ten

years. He also briefed about the Survey of Small Scale & Household Manufacturing Industries

(SHMI) which covers all un-registered household units & small enterprises engaged in

manufacturing activities having less than 10 employees. At the end, he described the limitations

and plans for improvement.


58

Mr. Mazhar Hussain Hashmi, DDG of FBS made a detailed presentation on Labour Force

Survey. Giving details he said Labour Force Survey has been carried out since 1963, on annual

basis. LFS is household inquiry based on stratified two-stage sample design and sample is

equally distributed through four quarters of the survey year in order to take care of seasonality.

Mr. Hashmi said the general objective of the survey is to provide an overview of labour force

general characteristics e.g. data on age, sex, marital status etc. He discussed in detail the

concepts and definitions used.

Mr. Abdul Azeem Sahito, Director – Prices of FBS presented collection and compilation

procedures of Price Statistics. After making an introduction to Consumer Price Index (CPI),

Sensitive Price Index (SPI) and Wholesale Price Index (WPI), he discussed the objectives of the

price statistics. Elaborating further, he said CPI measures Inflation rate in the country, whereas,

SPI is computed to assess the price movement of essential commodities at short interval of time

to review the price situation in the country. However, WPI measures the General Price level in

the whole sale market. Mr. Sahito explained that before changing the base year, FBS conducts a

series of meeting among members and finalise the coverage, cities related to CPI, SPI and WPI.

At the end of his presentation, he said, base year of CPI, WPI & SPI will be change from 2000-

2001 to 2006-2007. Also rural areas will be covered in CPI where rent will be computed on

survey basis. Previously, the base year was changed after every ten years but now it will be

changed after five years. He said initially SPI was computed for poor income groups but now it

will be computed on the basis of all income groups. FBS is planning to compute separate CPI for

small cities based on the items they consumed.

The chairperson of the session on real sector, Dr. Noor Muhammad Larik, Ex-DG of FBS said in

his concluding remarks that official statistician and academician differ significantly. Official

statisticians are unaware of the developments in methodologies and academicians are unaware of

the problems in official statistics. This created a gap between official statistician and academia.

He said that cooperation among these two groups is the demand of the time. He suggested that

the variation in indices is not being worked out and that is the job of Academia. Forecasting area

is not taken care off and either in universities and nor in government agencies that lacks in the

statistical organisations. He emphasized the need of developing an institute within the

government to coordinate both academicians as well as professional statisticians to work

together and conduct some more research. At the end he concluded that the workshop is very

important and had provided opportunity to discuss about statistics and its importance.


59

PPrreesseennttaattiioonn oonn NNaattiioonnaall AAccccoouunnttss BByy MMrr.. AArriiff MMeehhmmoooodd CChheeeemmaa,, DDDDGG,, FFBBSS

Slide 1 Slide 2

PURPOSE

¾ MONITORING STRUCTURAL CHANGES AND BUSINESS CYCLES

¾ ENABLING INTERNATIONAL

COMPARISON

¾ ADOPTING CONCEPTS AND FRAMES FOR THE ECONOMIC STATISTICS

Slide 3 Slide 4 FRAMEWORK

¾ Regular Activities:

9GDP/GNP (FC) by industrial origin 9Expenditure on GNP (MP) 9GDP implicit deflator – a measure of inflation 9Estimates of GFCF (MP) by industrial origin

for private & public and general government 9Composition of general government current

consumption expenditure

¾ Other Activities: 9Input-Output Tables

ESTIMATION OF GDP/GNP ¾GDP(FC): Gross Domestic Product (GDP) is

the market value of all final goods and services produced at factor cost (FC) in the economy during a particular period

¾GDP (MP) = GDP (FC) + Net Indirect Taxes ¾GNP (FC) = GDP (FC) + Net Factor Income

(NFI) from abroad. ¾GNP (MP) = GNP (FC) + Net Indirect Taxes

Slide 5 Slide 6

ESTIMATION APPROACHES

i. PRODUCTION APPROACH

ii. INCOME /COST APPROACH

iii. EXPENDITURE APPROACH

GROSS FIXED CAPITAL FORMATION (GFCF)

The GFCF comprises of expenditure incurred on the acquisition of fixed assets; rep l a c em e n t s, addit ion s and major improvement of fixed capital viz. land impro v e m en t , b u i l d i ng s , c i v i l an d engineering works, machinery, transport equipm ent and fur nitur e and f ixt ur e. These estimates are prepared separately for private and public sectors by economic activity as well as by capital assets.


60

Slide 7 Slide 8

Major crops:

Minor crops:

Intermediate Consumption:

Sources:

Gross Value Added:

CROPS Rice, Wheat, Cotton, Sugarcane, Gram, Maize, etc. Pulses, Vegetables, Fruits, Oil seeds, Condiments, etc. Seeds, Fertilizer, Pesticides, Water, Transport Charges, etc. Provincial Agriculture & Irrigation Departments, IRSA, WAPDA, Federal Directorate of Fertilizer, Pesticides Association, etc. Value of output including by-products (minus) Intermediate consumption

Composition: Intermediate Consumption: Sources: Gross Value Added:

LIVESTOCK Cattle and their products Poultry and their products Roughages (green and dry), Concentrates (Grains, Oilcakes), Grass & Grazing, salt, Medicines, etc.

Livestock Division, Agriculture Census Organization, Pakistan Poultry Association etc. Value of output including by-products (minus) Intermediate consumption

Slide 9 Slide 10

Composition: •Marine •Inland


Sources:

Gross Value Added:

FISHING Fish, Prawn, Shrimps, crabs, etc. from: Ocean, Coastal and Offshore water, Fish farms, Rivers, Canals, Lakes, Ponds, and inundated tracts, etc. Salt, Ice, Fuel & Lubricants, Medicines, Chemicals, etc. and Auction Charges. Marine Fisheries Department, Provincial Fisheries Departments & Federal Bureau of Statistics. Value of output (minus) Intermediate consumption

Composition: Intermediate Consumption: Sources: Gross Value Added:

FORESTRY Timber, Firewood, Ephedra, Grass & Grazing, Resin, Medicinal herbs, and other Minor Forest Products/Output. Seeds, plantation, fertilizer, etc.

Federal Inspectorate General of Forests. Provincial Forest Departments.

Value of output (minus) Intermediate consumption

Slide 11 Slide 12

MINING & QUARRYING LARGE-SCALE MANUFACTURING Composition:


Sources:

Crude oil, Natural Gas, Coal including other minerals, e.g. Rock Salt, Lime Stone, Dolomite, Gypsum, Fire clay, Phosphate, Marble, and Surface Minerals. Blasting Material, Fuel and Lubricants, etc.

Ministry of Petroleum and Natural Resources, OGDC, Occidental, Pirkoh, Mari Gas, Coal and other Mineral Establishments, Provincial Mineral

Composition: Sources:

Food, Beverages, Tobacco, Textile, Leather, Wood & Wood Products, Paper & Boards, Chemicals, Pharmaceutical, Petroleum, Metal, Engineering, Electrical, Automobile and other Industrial products/ groups.

Ministry of Industries, OCAC, Central Board of Revenue, Provincial Bureaux of Statistics, Federal Bureau of Statistics.

Gross Value Added:

Departments

Value of output (minus) Intermediate consumption

For calculating growth rate of value added, Quantum Index of Manufacturing (QIM) is computed based on production data of 100 items having 75.07% weight (bench-mark 1999-2000) of Large Scale Manufacturing Sector.


61

Slide 13 Slide 14

SMALL-SCALE MANUFACTURING Composition:

CONSTRUCTION All major construction activities including repairs, additions/alterations, Land

Composition:

Benchmark Estimates of Gross Value Added:

Annual Growth:

All un-registered small and household manufacturing establishments Based on special study and SHMI Surveys.

7.51 % based on Study on SSMI

Sources:

Improvement; Buildings; Roads, Bridges, Streets; Highways; Runways; Transport & Railway Tracts; Telephone, Power, Gas, Oil, Utility lines; Canals; Dams; Harbour & Barrages etc. Federal, Provincial & Local Bodies, Development Authorities, Major Public & Private Construction Establishments, Federal Bureau of Statistics.

1999-2000 Value added coefficients of Investment by kind of construction are multiplied to Investment made in that activity during the year. Value additions of all activities are summed up.

Slide 15 Slide 16

ELECTRICITY, GAS DISTRIBUTION & WATER SUPPLY

TRANSPORT, STORAGE & COMMUNICATION

Composition:


Sources: Electricity: Gas:

Water:

Gross Value Added:

Electricity, Gas distribution and Water supply Furnace Oil, Gas, Water, etc. WAPDA, KESC, KANUPP, Pak Steel, IPPs and Captive Power units. Sui Southern and Sui Northern Gas Cos., Mari Gas etc. IRSA, Provincial Irrigation Departments. Value of Electric, Gas & Water Supply (plus) Misc. Receipts (minus) Industrial cost & Electricity/Gas purchases.

Composition: Sources: Gross Value Added:

Railway, Air, Water, Road, Pipeline Transport; Communications & Storage

Pakistan Railways, PNSC, KPT, PQA, CAA, PIA & other Airlines. NTRC, Asia Petroleum, PARCO, etc. Ports, Boats, etc. Excise Departments, PTCL, PTV, Private Radio & TV, Courier Services, NLC, Town Committees (for Non-mechanized). Value of output (plus) Misc. Receipts (minus) intermediate consumption

Slide 17 Slide 18

FINANCE & INSURANCE WHOLESALE & RETAIL TRADE

Composition:

Sources:

Gross Value Added:

State Bank of Pakistan, Scheduled Banks, DFIs, Insurance Companies, Modaraba & Leasing Companies. State Bank of Pakistan, Scheduled Banks, Development Financial Institutions, Life and General Insurance Cos, Modarabas & Leasing Companies. Value of output (plus) Misc. Receipts (minus) intermediate consumption

Composition: Sources: Value Added:

All Agricultural, Industrial Produce and Imports Provincial Governments & Federal Bureau of Statistics Total value of trade margins applied on the marketed portions of Agriculture and Industrial Output as well as Imports.


62

Slide 19 Slide 20

OWNERSHIP OF DWELLINGS PUBLIC ADMN. & DEFENCE

Coverage: Housing Units (rented as well as self occupied) and in urban and rural areas

Composition: Federal, Provincial and District Governments and Cantonment Boards.

Sources:

Value Added:

Housing Census & Rent Surveys Gross Rentals (No. of Dwellings multiplied by average annual rent

(minus) Value of current repairs and maintenance.

Sources: Gross Value Added:

Budget documents of Federal, Provincial, District Governments and Cantonment Boards. Sum of the compensation of employees

(all Civil and Defence)

(Plus)

Depreciation on Govt. fixed assets

Slide 21 Slide 22

COMMUNITY, SOOCIAL & PRIVATE SERVICES

MAIN WEAKNESSES

Composition:

Sources:

Gross Value Added:

Education, Health, Business (Accounting, Auditing, Advertising, Photography etc.), Recreation, Social, Personal & Domestic Services, etc. Ministry of Education, PMDC, PNC, PBA, PEC, ACA, PAA, PHA, etc. Per Worker Value Added multiplied by Number of Workers

¾ Poor Response ¾ Extrapolations and Estimations ¾ SNA 1993 not yet fully adopted ¾ Scope is limited

Slide 23

Arif Mehmood Cheema Deputy Director General (N.A.)

Office contact: [email protected]


63

PPrreesseennttaattiioonn oonn PPrriiccee SSttaattiissttiiccss BByy AAbbdduull AAzzeeeemm SSaahhiittoo DDiirreeccttoorr

Slide 1 Slide 2

بسم اهللا الرحمن الرحيم

PRESENTATION ON PRICE STATISTICS

BY ABDUL AZEEM SAHITO

DIRECTOR PRICE STATISTICS SECTION

FEDERAL BUREAU OF STATISTICS, KARACHI

Slide 3 Slide 4

PRICE STATISTICS

• PRICE STATISTICS INCLUDES

COLLECTION OF RETAIL AND WHOLE SALE PRICES AND COMPUTATION OF FOLLOWING INDICES:-

• 1. CONSUMER PRICE INDEX (C.P.I) • 2. WHOLESALE PRICE INDEX (W.P.I) • 3. SENSITIVE PRICE INDICATOR (S.P.I)

INTRODUCTION • CPI measures changes in the cost of buying a

representative fixed basket of goods and services and is generally accepted as a measure of inflation in the country”.

• SPI measures the price changes of essential items at short intervals of time (Weekly basis). It is being used to review price situation in country.

• WPI measures the change of prices in the primary wholesale market. It measures general price level and and shows direction of prices.

Slide 5 Slide 6

Objectives • CPI measures Inflation rate in the country

• SPI is computed to assess the price movement of essential commodities at short interval of time to review the price situation in the country.

• WPI measures the General Price level in the whole sale market.

Selection of Markets/Outlets and Cities

„Markets are selected through retail and wholesale trade survey.

„Outlets are selected on transaction value basis

„Cities are selected on population basis

„Stratified sampling are used for selection of cities


64

Slide 7 Slide 8

Commodity Groups Wise Items and Weights C.P.I (2000-01)

Weights for CPI • Commodity Group Weights Items

• The results of Family Budget Survey provide the average percentage expenditure(Consumption pattern) of Households on each item/each commodity group and for each income group for the cities covered in CPI. These average percentage expenditures on item and commodity groups are called weights and are being used in computation of the CPI.

Example: 1. Total Expenditure: Rs. 3000, 2. Expenditure on Wheat Flour:- Rs. 100 3. % of Expenditure on Wheat flour = (100/3000)*100 = 3.33

Weight of Wheat flour = 3.33%

01. Food, Beverages & Tobacco 40.34 124 02. Apparel, Textile & Footwear 6.10 42 03. House Rent 23.43 01 04. Fuel & Lightening 7.29 15 05. House Hold, Furniture & Equipment etc. 3.29 44 06. Transport & Communication 7.32 42 07. Recreation & Entertainment 0.83 16 08. Education 3.45 24 09. Cleaning, Laundry & Personal Appearance 5.88 26 10. Medicines/Medicare 2.07 29 TOTAL 100.00 374

Slide 9 Slide 10COVERAGE OF CITIES AND MARKETS

YEAR FOR CPI

COVERAGE OF CITIES AND MARKETS IN BASE YEAR FOR CPI 2000-2001

Name of City

Punjab 1. Islamabad (Federal Capital Area) * 2. Rawalpindi * 3. Lahore * 4. Gujranwala * 5. Faisalabad * 6. Multan * 7. Jhelum 8. Sialkot * 9. Sargodha *

No of

Markets

04

06 07 01 02 03 01 01 01

Name of City

10. Jhang 11. Okara 12. D. G. Khan 13. Bahawalpur * 14. Bahawalnagar 15. Mianwali 16. Vehari 17. Attock 18. Samundari

No of

Markets

01

01 01 01 01 01 01 01 01

Name of City Sindh 19. Karachi * 20. Hyderabad * 21. Sukkur * 22. Nawabshah 23. Larkana * 24. Mirpurkhas 25. Shahdadpur 26. Kunri Total Cities = 35

No of Markets

13 04 02 01 01 01

01 01

Name of City N.W.F.P. 27. Peshawar * 28. Mardan 29. Abbottabad 30. D. I. Khan 31. Bannu *

Balochistan 32. Quetta * 33. Khuzdar * 34. Turbat 35. Loralai Total Markets = 71

No of Markets

03 01 01 01 01

02 01 01 01

* Cities also included in SPI cities * Cities also included in SPI cities

Slide 11 Slide 12 Time table for Collection of Prices

INCOME GROUPS OF CPI

1. Up to Rs. 3000.00 2. Rs. 3001.00 - 5000.00 3. Rs. 5001.00 – 12000.00 4. Above Rs. 12000.00

Part-I Food, Beverages Tobacco

Part-II Apparel, Textile and Foot Wear Fuel and Lighting

Part-III House Hold, Furniture & Equipment Transport & Communication Part-IV Recreation, Entertainment & Education, Cleaning, Laundry & Personal Appearance & Medicines Part- VII WHOLE SALE PRICE Part-VI S.P.I Daily Prices of 18 items

Monthly

Monthly Monthly Monthly Monthly

Weekly

Daily

11-14 of each month

01-03 of each month

04-06 of each month

07-10 of each month 13-15 of each month

Each Thursday

Daily


65

Slide 13 Slide 14

FORMULA USED FOR COMPUTATION OF CPI HISTORICAL BACKGROUND FOR VARIOUS CPI BASE YEARS

ITEMS 1948-49 = 100 1955-56 = 100 1969-70 = 100 1975-76 = 100 1980-81 = 100 1990-91 = 100

Laspeyre's formula as given below is being used for

the computation of CPI. ∑ (Pn/Po) x wi

OCCUPATIONAL CATEGORY

Industrial Indus trial Indus trial Industrial Industrial Indus trial

Clerical Commercial Commercial Commercial Commercial Government Government Government Government

Self Employer & employed

In = --------------------- x 100 NUMBER OF ITEMS 202 357 464 460 NUMBER OF

∑ wi COMMODITY GROUPS

4 4 4 4 9 9

Where In = CPI for the nth period NUMBER OF CITIES 4 4 12 12 25 25 % OF TOTAL

Pn = price of an item in the in the nth period Po = price of an item in the base period wi = weight of the ith item in the base period =

URBAN POPULATION NUMBER OF MARKETS NUMBER OF

57% 57% 63% 63.13%

28 28 65 61

Po x qo / ∑ Po x Qo ∑ wi = Total weight of all items.

QUOTATIONS 22624 39984 116928 112240

INCOME GROUPS 1. Up to Rs 68-130 1. Up to Rs. 105-130 1. Up to Rs. 300 1. Up to Rs . 600 1. Up to Rs. 1000 1. Upto Rs . 1500 2. Rs . 218-332 2. Rs . 301-500 2. Rs. 601-1500 2. Rs . 1001-2500 2. Rs. 1501 - 4000

3. Rs . 501 - 1000 3. Rs. 1501 - 2500 3. Rs . 2501-4500 3. Rs. 4001 - 7000 4. Above Rs. 1000 4. Above Rs . 2500 4. Above Rs. 4500 4. Rs. 7001 - 10000

5. Above Rs . 10000

Slide 15 Slide 16

WHOLE SALE PRICE INDEX (2000-01) Whole Sale Price Index (WPI)Historical Changes

• Coverage: Commodities: 106 Items 425 Price Quotations 1550

BASE YEAR

No of Commodities

No of Price Quotations

No. Of Cities

Commodity groups

• CITIES:- 18 Major Cities 1. Lahore 2. Faisalabad 3. Rawalpindi 4. Multan 5. Gujranwala 6. Sialkot 7. Sarghoda 8. Bahawalpur 9. Sahiwal 10. Karachi 11. Hyderabad 12. Sukkur 13. Nawabshah 14. Larkana 15. Peshawar 16. Quetta. 17. Mirpurkhas 18.Mingora

• GROUPS & WEIGHTS: Commodity Group Weight No. of Items No. of Commodities No. of Price

Quotation FOOD 42.12 106 43 693 RAW MATERIALS 7.99 25 09 104 FUEL, LIGHTING 19.29 17 11 36 & LUBRICANTS MANUFACTURES 25.87 227 32 564 BUILDING

1959-60=100 64 201 22 Food Raw Materials Fuel,lighting & lubricants manufactures

1969-70=100 72 433 22 Food Raw Materials Fuel,lighting & lubricants manufactures

1975-76=100 87 625 22 Food Raw Materials Fuel,lighting & lubricants Manufactures Building Materials

1980-81=100 91 690 22 Food Raw Materials Fuel,lighting & lubricants Manufactures Building Materials

1990-91=100 96 1210 16 Food Raw Materials Fuel,lighting & lubricants Manufactures Building Materials Food MATERIALS 4.73 50 11 153

TOTAL 100.00 425 106 1550 • PERIODICITY OF PRICE COLLECTION: 11th to 14th of Each Month (Monthly)

2000-01=100 106 1550 18 Raw Materials Fuel, Lighting& Lubricants Manufactures Building Materials

Slide 17 Slide 18

Sensitive Price Indicator (SPI) Historical Changes

SENSITIVE PRICE INDICATOR (2000-01=100)

BASE YEAR NO OF

CITIES

NO OF ITEMS

NO OF MARKETS

INCOME GROUP

OCCUPATIONAL CATEGORIES

• Coverage: • Items: 53 • Markets: 53 • Price quotations: 10812 • CITIES:- 17 MAJOR CITIES

1. Lahore 2. Faisalabad 3. Rawalpindi 4. Islamabad 5. Multan 6. Gujranwala 7.Sialkot 8. Sargodha 9. Bahawalpur 10. Karachi 11. Hyderabad 12. Sukkur

13. Larkana 14. Peshawar 15. Bannu 16.Quetta 17. Khuzdar.

• INCOME GROUP:- UPTO Rs. 3000.00 (Also for other groups) • CATEGORY OF EMPLOYEES:- ALL CATEGORIES COMBINED

• PERIODICITY OF PRICE COLLECTION: - On Every Thursday (Weekly Basis)

1969-70=100 12 28 22 upto Rs.300 Industrial employees Commercial employees Government employees

1975-76=100 12 38 22 Upto Rs.600 Industrial employees

Commercial employees Government employees





2000-01=100 17 53 53 Upto Rs.3000 All categories combined

including self employer and employeed.


66

Slide 19 Slide 20

SENSITIVE PRICE INDICATOR (SPI), CONSUMER PRICE INDEX (CPI) AND WHOLESALE PRICE INDEX (WPI) AT VARIOUS POINTS OF TIME

2000-2001=100 PERCENTAGE CHANGE OVER

Dissemination of Price Data • WPI Intercity Prices of 18 cities.(Monthly/Yearly) • CPI Intercity Prices of 35 cities(Monthly/Yearly)

PERIOD I N D I C E S PREVIOUS PERIOD/MONTHS • WPI indices for 5 commodity groups.

2000-2001 2001-2002 2002-2003 2003-2004 2004-2005

SPI CPI WPI SPI CPI WPI 100.00 100.00 100.00 -- -- --- 103.37 103.54 102.08 3.37 3.54 2.08 107.06 106.75 107.77 3.58 3.10 5.57 114.38 111.63 116.29 6.83 4.57 7.91 127.59 121.98 124.14 11.55 9.28 6.75

• CPI indices for 10 commodity groups. • CPI indices, 4 income groups,10 commodity groups

and 17 CPI cities. • Combined CPI indices for 10 commodity groups for 35

CPI cities. 2005-2006 136.56 131.64 136.68 7.02 7.92 10.10 • Intercity prices of construction items.

• SPI indices by income groups on monthly basis

Slide 21 Slide 22

FUTURE PLANNING

1. Change of base of CPI, WPI & SPI. Proposed to be changed after 5 years

2. Rent will be computed on rent survey basis. 3. COICOP classification will be used in CPI and

CPC in WPI. 4. Enhance scope of indices in terms of

cities/items and income groups.

THANK YOU


67

PPrreesseennttaattiioonn oonn LLaabboouurr FFoorrccee SSuurrvveeyy BByy MMrr.. MMuunniirr AAssllaamm,, DDiirreeccttoorr,, FFBBSS

Slide 1 Slide 2

USERS-PRODUCER WORKSHOP

25-26 July 2006 PRESENTATION

ON Labour Force Survey

Presentation on FBS – July 2006

Slide 3 Slide 4

LABOUR FORCE SURVEY Introduction

• The Federal Bureau of Statistics has been

conducting Labour Force Survey (LFS) since 1963 on annual basis .

• The last annual survey was held for 2003-04. • Quarterly LFS initiated in 2005-06 to provide

employment and unemployment rates at the National level.

• A “Panel on Labour Statistics” comprised of all stakeholders reviews LFS questionnaire/ methodology in line with international standards.

LABOUR FORCE SURVEY Improvements • The Survey’s questionnaire was revised in 1990 to add

questions on a set of activities to augment participation rates particularly of females.

• The questionnaire was further improved in 1995 to reckon with the size and composition of migration and informal sectors.

• The scope of the survey was extended in 2001-02 to include the questions on the type, causes, consequences and redressing the incidences pertaining to occupational hazards, safety and health.

• The questionnaire was further articulated in 2005 for the current LFS 2005-06.

Slide 5 Slide 6 LABOUR FORCE SURVEY

General Objectives

The survey aims to provide data on (a) age, sex, marital status, literacy, level of education

and migration of the population, (b) dimensions of country’s labour force, such as

(i) employed labour force classified by industry, formal & informal sectors, employment status hours worked, (ii) occupational safety and health information of the employed persons and (iii) characteristics of the unemployed labour i.e. age sex and level of education and pervious experience.

LABOUR FORCE SURVEY

Quarterly Enumeration • For the first time, the LFS for 2005-06 is being

undertaken on quarterly basis. • The Survey’s three-quarter year (July-March) 2005-

06 has been enumerated and • main indicators on employment and literacy are

compiled in a limited report format.


68

Slide 7 Slide 8

LABOUR FORCE SURVEY SAMPLE SIZE AND ITS ALOCATION

Methodology Province/Area

Enumeration Blocks/Villages

(PSUs)

Sample Households (SSUs)

• The LFS is household inquiry (direct personal)

based on two-stage stratified random sample design.

• The universe consists of all urban and rural areas of the four provinces of Pakistan.

• Enumeration of LFS 2005-06 is evenly distributed intra and inter quarterly through the survey’s reference year.

Punjab Sindh

NWFP Balochistan

FATA

Northern Area AJK Total

Rural

615

276

224

123

72

40

64

1414

Urban

524

330

136

102

-

28

48

1168

Total

1139

606

360

225

72

68 112

2582

Rural

9840

4416

3584

1968

1152

640 1024

22624

Urban

6288

3960

1632

1224

-

336

576

14016

Total

16128

8376

5216

3192

1152

976 1600

36640

Slide 9 Slide 10

CONCEPTS AND DEFINITIONS

Employed

• The “Employed” comprises all persons ten years of age and above who worked at least one hour during the reference period i.e. week preceding the date of enumeration, and were either

• “paid employed” or “self employed”. Persons, employed on permanent/regular footings, who have not worked for any reason during the reference period are however, treated as employed.

Unemployed

The “unemployed” comprises all persons ten years of age and above who during the reference period were: i) “With out work” i.e. were not in paid-employment or

self-employment; ii) “Currently available for work” i.e. were available for paid

paid employment or self-employment; and iii) “Seeking work” i.e. had taken specific steps in a specified

recent period to seek paid employment or self- employment.

Slide 11 Slide 12Population not Currently Active:

The “population not currently active” or “persons not in

the labour force” comprises all persons who were not employed or unemployed during the reference period and hence not currently active on account of the following reasons:-

a) Attending educational institutions, b) Engaged in household duties, c) Retired or old age, d) Too young to work e) Agricultural landlord and/or property owner (given on rent or lease).

They are owners but they do not work for their properties f) Persons who derive their income solely from royalties, dividends,etc, g) Engaged in immoral pursuits such as prostitutes, beggars,thieves and

smugglers etc. h) Voluntary social workers doing work outside the family enterprise, i) Living entirely on charity and j) Other reasons such as infirmity etc.

EMPLOYMENT STATUS

Employer A person working during the reference period,

on own-account or with one or a few partners on a “self-employment job” with one or more employees engaged on a continuous basis. Own account worker (Self employed)

An own account worker is a person who operates his or her own economic enterprise or engages independently in a profession or trade and hires no employees. However, he/she may get the assistance of unpaid family workers.


69

Slide 13 Slide 14

Employee A person who works for a public or

private employer and receives remuneration in wages, salary, commission, tips, piece rates or pay in kind.

Unpaid family worker

A person who works without pay in cash or in

kind on an enterprise operated by a member of his/her household or other related persons is termed as unpaid family workers.

INFORMAL SECTOR - All household enterprises owned and

operated by own-account workers (self- employed), irrespective of the size of the enterprise (informal own-account enterprises).

- Household enterprises owned and

operated by employers with less than 10 persons engaged, and

- Excluded are all household enterprises

engaged in agricultural activities or wholly engaged in non-market production.

Slide 15 Slide 16

PARTICIPATION RATES

Participation Rates (%)

Crude Participation Rates (%) 60 2003-04 2005-06 (Jul-Mar)

Year/Periodicity Crude Activity Rate Refined Activity Rates 50

Annual (Jul-Jun) 2003-04

Three Quarters Collectively (Jul-Mar) 2005-06

Total 30.4

32.3

Male 48.7

50.3

Female 11.2

13.5

Total 43.7

46.3

Male 70.6

72.2

Female 15.9

19.2

40 30 20 10

0 Both Sexes Male Female

Slide 17 Slide 18

Refined Participation Rates (%) Employment by Sector (%)

80 2003-04 2005-06 (Jul-Mar)

70

Sector/

Periodicity


Three Quarters

Collectively (Jul-Mar) 2005-06

60

50

40

30

20

10

0 Total Male Female

Agriculture Industry Services

Both Sexes 43.1 20.3

36.6

Male

38.1 21.4 40.5

Female

67.3

15.0

17.7

Both Sexes 44.0 20.8

35.2

Male

38.0 22.2 39.8

Female

68.9

14.8

16.3


70

Slide 19 Slide 20

Employment by Status (%) Unemployment Rate (%)

Status/ Periodicity


Three Quarters Collectively (Jul-Mar)

2005-06

Sex/Periodicity

Annual

(Jul-Jun) 2003-04

Three Quarters

Collectively

Employer

Self-employed

Unpaid family helpers

Employees

Both Sexes

0.9 37.1

24.1

37.9

Male

1.1

41.4 18.3

39.2

Female

0.1

15.9

52.8

31.2

Both Sexes

0.9 34.9

27.0

37.2

Male

1.1

39.8 19.3

39.8

Female

0.1

14.9

58.2

26.8

Both Sexes Male Female

7.7 6.6 12.8

(Jul-Mar) 2005-06

6.5

5.6

9.9

Slide 21 Slide 22

Literacy Rate (%)

Area/ Periodicity

Annual (Jul-Jun) 2003-04 Three Quarters Collectively (Jul-Mar) 2005-06 Thanks

Pakistan Both Sexes

51.6

Male 63.7

Female

39.2

Both Sexes

52.5

Male 64.5

Female

40.1

Rural 41.6 56.3 26.6 43.6 57.8 29.0

Urban 69.7 76.5 62.5 68.9 76.2 61.1


71

PPrreesseennttaattiioonn oonn IInndduussttrriiaall SSttaattiissttiiccss BByy MMrr.. MMuuhhaammmmaadd IIsshhaaqq RRaannaa,, DDiirreeccttoorr,, FFBBSS

Slide 1 Slide 2

(CMI)

Industrial Statistics Introduction CMI is conducted under the Industrial Statistics Act 1942 in collaboration with,

• Provincial Directorates of Industries & • Provincial Bureaus of Statistics

Muhammad Ishaq Rana Director

Federal Bureau of Statistics

July 26, 20061

Objectives CMI measures production and structural changes of large scale manufacturing and provides basic data on Fixed Assets, Employment & Employment Cost, Industrial Taxes, Value of Input & Output and Census Value Added etc. It also provides weights for the QIM

2

Slide 3 Slide 4 Census of Manufacturing Industries

(CMI) Scope and Coverage CMI covers establishments engaged in manufacturing activities for part or whole of the year with single or joint ownership/control and are registered under Factories Act 1934. Frequency: After every five Years. Last CMI was done in 2000-01.

Work on CMI 2005-06 has been initiated as a joint effort of Federal & Provincial Bureaus of Statistics and Provincial Directorates of Industries. The questionnaire has been finalized and is at printing stage.

Census of Manufacturing Industries (CMI)

QIM Weights

Basis is 2000-01 CMI Census value added:

Census value of production

- Industrial cost

- Indirect taxes

+ Subsidies

Weights at industry level are derived as % of Census value added of total large scale manufacturing

3 4

Slide 5 Slide 6

Weights derived from CMI Weights derived from CMI

Ind. Code 311-312

Industry Food Manufacturing

Weights 13.9963

Ind. Code 332

Furniture

Industry Weights 0.1233

313 314

320-321 322 323 324 325 331

Beverage Industry Tobacco Manufacturing Textile Manufacturing Wearing Apparel Leather and Leather Products Footwear Ginning of Fiber Wood and Wood Products

0.8245 3.0551 28.1429 3.3623 1.7599 0.5162 3.3682 0.0723

341 342 350 351 352

353, 354 355 356

Paper and Products Printing and Publishing Pharmaceuticals Industrial Chemicals Other Chemicals Petroleum Refining Rubber Products Plastic Products

1.0042 0.3439 5.2143 8.588 1.6395 5.232 0.4025 0.8653

Contd…

5

Contd…

6


72

Slide 7 Slide 8

Weights derived from CMI Weights derived from CMI

Ind. Code 361 362 369 371 372

380, 381 382 383 384

Industry Pottery, ceramics Glass Products Other non-metal Products Iron and Steel Non-Ferrous Metals Metal Products Machinery Electrical Machinery Transport Equipment

Weights 0.2155 0.3650 4.5821 4.8853 0.0598 1.2304 1.2808 3.1995 4.4560

Ind. Code

385 386 391 392

393, 394

3

Industry

Measuring Instruments Optical Goods Handicrafts Sports and Athletic Goods Other Manufacturing Industries

Large Scale Manufacturing

Weights

0.4581 0.0001 0.0288 0.4543 0.2736

100.00

Contd…

7 8

Slide 9 Slide 10

Quantum Index of Large Scale Manufacturing Industries (QIM)

QIM is the indicator of real growth rate of value added of Large Scale Manufacturing Industries

Present base: 1999-2000 Frequency: monthly/annual No. of items covered: 100 Weight covered: 75.08% of the total value added

� Qn �

Quantum Index of Large Scale Manufacturing Industries (QIM)

Sources of Data � Oil Companies Advisory Committee (OCAC),

� Ministry of Industries & Production and

� Provincial Bureaus of Statistics

Formula used: Laspeyer’s ∑ � � x Wi Sources No of Items Weight

Where In = � Qo � X 100

∑ Wi OCAC 11 5.2320

In = Index for the nth period,

Qn = Quantity of an item in the nth period (current period),

Wi = Weight of ith item value in base period, ∑ Wi = Total weights of 100 items

9

MO Ind.

BOS ALL

35

54

100

44.4457

25.3973

75.075

10

Slide 11 Slide 12

Scope

Survey of Small Scale & Household Manufacturing Industries (SHMI)

Survey of Small Scale & Household Manufacturing Industries (SHMI)

Frequency

SHMI covers all un-registered household units & small establishments engaged in manufacturing activities having less than 10 employees.

Objective SHMI measures production and structural changes in small scale manufacturing establishments and household manufacturing units. It provides data on employment and employment cost, input and output value, value added in the small scale manufacturing sector

Conducted every ten years Growth Rate Inter census growth rate of value added is worked out for the purpose of GDP which is applied constantly till next survey Survey conducted for rebasing in 1999-2000 estimated growth rate at 7.51 % which is being applied to work out gross value added for Small Scale Manufacturing sector since 1999-2000

11 12


73

Slide 13 Slide 14

Limitations

ƒ CMI data is collected by Provincial Directorates of

Industries through mail enquiry resulting in poor response and longer time in retrieval of schedules

ƒ Manpower, Transport &Computing equipment constraints being

faced by Provincial Bureaus and Directorates of Industries

ƒ Frame of the manufacturing establishments, developed by Provincial Directorates of Labour, need improvement

Plan for Improvement Need to develop a business register, which should:

™ be continuously updated ™ cover all private & public economic activities ™ classify the economic activities ™ comprise some main economic quantities like No. of

Employees, Capacity, Annual Sales, etc

Crucial point will be the provision & updation of addresses and other relevant data by public & private sector establishments on regular basis

13 14


74

TTeecchhnniiccaall SSeessssiioonn oonn MMiisscceellllaanneeoouuss SSeeccttoorr

SSeessssiioonn SSuummmmaarryy The purpose of this session was to review the scope, coverage, compilation methodologies of the

statistics produced by the Provincial Bureaus and Security Exchange Commission of Pakistan.

Mr. Ali. Rehman, Director, Security Exchange Commission of Pakistan (SECP) gave a

presentation on the statistics compiled by SECP. Mr. Shamim Rafique, Deputy Director of

Punjab Bureau of Statistics (PBS) gave a presentation on the statistics compiled by Provincial

Bureaus of Statistics.

After the introduction of SECP, Mr. Ali Rehman explained that SECP compiles data of over

48,000 companies registered with SECP. Mr. Ali explained about the characteristics and utility

of Corporate Registration and Ensures Compliance (CRCS), which is the largest database of

companies at the SECP. He said stakeholders of SECP data are mostly from government

organizations, ministries, researchers, private companies, individuals, and students.

Mr. Shamim made detailed presentation on the various statistics compiled by PBS. At the outset,

he discussed the historical background of the bureaus. He then detailed the activities currently

undertaken by the provincial bureaus. He said Provincial Bureaus of Statistics are both data users

as well as data producers. Provinces also conduct CMI on adhoc basis under the Industrial

Statistics Act 1942, census of education institutions in Punjab. The data are released by

provincial bureaus through their regular and adhoc publications. At the end, he gave details

about the publications/reports of the PBS.

Concluding the session, Dr. Faqir Muhammad, Chairman Mathematics & Statistics Department

of Allama Iqbal Open University said that the quality of data could be improved by means of

random checks and by doing pre-analysis and post-analysis. He emphasized on close

coordination between the Federal Bureau of Statistics and Provincial Bureaus of Statistics

because the functions and responsibilities taken by all the Provincial Bureaus of Statistics are

more or less the same but the compilation methodologies of the statistics of the same area may

vary significantly. At the end he suggested all the Provincial Bureaus of Statistics to work under

the umbrella / framework of FBS to avoid duplication.


75

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Slide 1 Slide 2

Securities & Exchange Commission of Pakistan

DATA COMPILATION & USAGE AT THE SECP

By

Mr. Ali Rahman (Director MIS)

Data and Information „ Use of data by companies, businesses and organizations for their

day-to-day operations and business decision making is on the rise. „ Availability of reliable, correct and updated information and data at

all times has become a necessity for companies and businesses. „ Use and availability of data/information is enabling businesses and

organizations of all sizes to effectively perform their functions and meet their underlying goals and objectives.

„ Organizations worldwide are implementing systems and databases to enable them to compile, store and retrieve data pertaining to their business and industry.

„ Companies, businesses and government organizations in Pakistan have also taken a leap in this phenomena, with many private, public and government organizations now using information technology.

„ CBR, SECP, BOI, etc.

2

Slide 3 Slide 4

Data and Information at the SECP

„ SECP holds data and information of over 50,000 companies registered with SECP. „ Nature and type of information being compiled and stored is largely inline with needs

and requirements of SECP and its major departments. „ Registration „ Enforcement „ Securities Market & Surveillance „ NBFC „ Insurance „ Finance & Administration

„ Various types of IT applications have been implemented and are under development by the SECP to capture data/information, and promote IT use.

„ Some examples of the systems in place are: „ Company Registration and Compliance System – Registration Department „ Enforcement & Monitoring System – Enforcement Department „ Regulatory and Compliance System for NBFCs - NBFC „ Regulatory System for Insurance - Insurance „ Brokers and Agents Registration and Management System – Securities Market

„ Future systems that are in the pipeline for implementation are: „ E-services project enabling online registration companies and online filing of returns

Company Registration & Compliance System „ An internet based application that facilitates corporate

registration and ensures compliance. „ Depository of information on over 50,000 corporate

entities. „ A tool for generation of customized reports for statistical

analysis, day-to-day monitoring, and strategic decision making.

„ Web based system which would be accessible from anywhere in the world using login ID and a password.

„ This is the largest database of companies at the SECP. „ CRCS is in use at CROs and Registration Department.

3 4

Slide 5 Slide 6 Features/Functions of CRCS

„ Information mostly pertains to capital, management,

mortgages, legal proceedings, change of company name, company kind, transfer, merger and cessation of companies.

„ Name availability module „ Incorporation of companies module „ Statutory returns recorded include annual returns,

Form-A, Form-29, Form-3, etc. „ Diary System maintains record of all receipts. „ User Defined reports can be generated to extract

information „ CRCS will enable online company registration and

filing of returns in the near future

CRCS and Data Compilation „ Data/information is gathered through filing of

statutory returns and documents by registered companies.

„ Information in CRCS mostly pertains to capital, management, mortgages, legal proceedings, change of company name, company kind, transfer, merger and cessation of companies.

„ This information is used by the SECP for day-today operations and decision making.

6


76

Slide 7 Slide 8 Users and Compilers of SECP Data

„ Users and stakeholders of SECP data range from

government organizations and ministries to individuals and private companies.

„ To better facilitate data use, SECP is providing specific data to various organizations upon their request. Our eight company registration offices are providing data to organizations like Board of Investment, State Bank of Pakistan and CBR on monthly basis. Similar data is also provided to other users upon their request.

„ However, apart from government organizations like CBR, SBP, BOI and Federal Bureau of Statistics, data is also given to private companies, individuals, and students.

Thank You

Questions & Comments

7


77

PPrreesseennttaattiioonn oonn DDaattaa CCoommppiillaattiioonn BByy BBuurreeaauuss ooff SSttaattiissttiiccss BByy MMrr.. SShhaammiimm RRaaffiiqquuee,, DDeeppuuttyy DDiirreeccttoorr,, PPBBSS

Slide 1 Slide 2

PRESENTATION BY

SHAMIM RAFIQUE DEPUTY DIRECTOR

BUREAU OF STATISTICS, PUNJAB, LAHORE

DATA USERS – PRODUCTERS WORKSHOP AT ISLAMABAD

Slide 3 Slide 4

HISTORICALL BACKGROUND

¾ Bureau of Statistics in its present set-up and status is an Attached Department of the Planning & Development Department

¾ The Bureau was established in Lahore in 1957 in

the then Power, Irrigation and Development Department of the Government of West Pakistan.

¾ It was made a part of the Planning & Development

Department on 31st January, 1959.

¾ It was declared an Attached Department of the Planning & Development Department on 1st July, 1973.

FUNCTIONS OF THE BUREAU OF STATISTICS PUNJAB

¾ Collection of Statistical data on various socio-economic

aspects through:- ¾Institutional Sources ¾Censuses / Surveys

¾ Tabulation and processing of the collected data and dissemination of the statistical information through various periodic publications and Govt. of Punjab website to meet the data requirements of the Provincial Government and other data users.

¾ Catering to certain data needs of the Federal Government under the provisions of General Statistics Act, 1975.

Slide 5 Slide 6

BUREAU'S ACTIVITIES BUREAU'S ACTIVITIES

9 Crop Acreage Censuses-Rabi & Kharif

9 Census of Manufacturing Industries (CMI)

9 Monthly Survey of Industrial Production & Employment in the Punjab.

9 Directory of Registered Factories in the Punjab.

9 Cotton Ginning & Pressing Industry Survey (During Cotton Ginning Season only).

9 Survey of Daily Retail Prices.

9 Census of Educational Institutions.

9 Health Statistics.

9 Adhoc Surveys assigned by the Government such as

District-Based Multiple Indicator Cluster Survey (MICS).

9 Dissemination of statistical information through various periodic publications.

9 Bureau’s Participation in various surveys conducted by other Agencies.

9 Carrying out Special Time-Limit Jobs assigned by P&D Department from time to time.

9 Data Processing Activities.

Contd... Contd…


78

Slide 7 Slide 8

COORDINATION ACTIVITIES

¾ Coordination with:-

9 Among Different Division of BOS & P&D

Department, Punjab

9 Federal & Provincial Bureaus of Statistics and other Federal Ministries / Divisions Under General Statistical Act, 1975

9 Statistical Cells Operating in Various Departments of the Provincial Government.

CROP ACREAGE & LAND USE STATISTICS RABI & KHARIF

¾ COVERAGE

Collection of Crop Acreage Statistics (Goshawara Jinswars) and Land Use Statistics for each Kharif & Rabi from 26,000 Mouzas of Punjab, through Revenew Patwaris by using the Services of Director Land Record.

Contd….

Slide 9 Slide 10 CROP ACREAGE & LAND USE STATISTICS

RABI & KHARIF

¾ OUTPUT ƒ Tabulation on Land Use Statistics mainly includes

Cultivated Area (Net Sown Area & Current Fallow), Uncultivated Area (Culturable Waste, Forest Area & Area not available for Cultivation) and Cropped Area by Tehsil.

ƒ Computer Print-out of Crop Acreage Reports (Kharif & Rabi)

ƒ Analytical Report On: ƒ Rabi Census ƒ Kharif Census

Contd…….

CROP ACREAGE & LAND USE STATISTICS RABI & KHARIF

¾ DATA USERS ƒ Revenue Department and P&D Department ƒ Ministry of Food, Agriculture & Livestock, (Economic

Wing) Islamabad. ƒ Federal Bureau of Statistics

ƒ Crop Reporting Services Agriculture Department for the preparation of Final Crop Production Estimates.

ƒ For Inclusion in Bureau’s Publications:- Punjab Development Statistics Statistical Pocket Book of Punjab

ƒ Research Institutes

Slide 11 Slide 12 CENSUS OF MANUFACTURING

INDUSTRIES (CMI)

¾ History ƒ Census of Manufacturing Industries (CMI) is

conducted in Pakistan by Provinces on adhoc basis under the Industrial Statistics Act. 1942.

¾ Coverage ƒ CMI covers all establishments which engaged in

manufacturing activities and registered under Section 2(J) of the Factories Act, 1934.

Contd…

¾ OUTPUT Computer printout of tabulated results (25 Tables) to be supplied to FBS for their Consolidation at national level

¾ DATA USERS ƒ Federal Bureau of Statistics for consolidation at

National level.

ƒ Industries Department, Government of the Punjab

ƒ Chambers of Commerce

ƒ Researchers Scholars and Students.

ƒ Various Industrial establishments and Private Enterprises.


79

Slide 13 Slide 14CENSUS OPRATIONS

¾ FEDERAL BUREAU OF STATISTICS (FBS)

Planning, Preparation of Questionnaire, Tabulation plan , Editing & Preparation of CMI Results at National Level.

¾ Provincial Directorates of Industries Printing and Mailing out of the questionnaires to the factories. Collection of CMI Returns from the factories and their supply to the Provincial Bureau of Statistics for processing of the data.

¾ Provincial Bureau of Statistics Classification, editing and coding of CMI Returns. Computer processing of CMI Returns and supplying the results to the Federal Bureau of Statistics.

¾ Provincial Directorates of Labour Welfare • Registration of factories under the factories Act, 1934 and supply

of updated list of factories to the Provincial Directorates of Industries for conduct of CMI.

MONTHLY SURVEY OF INDUSTRIAL PRODUCTION & EMPLOYMENT

¾ HISTORY

This Mail enquiry started in 1971 to cover the time lag of Census of Manufacturing Industries (CMI).

¾ COVERAGE

Collection of current information on industrial production and employment from about 2200 factories belonging to 47 important industries and 99 items that contributes 70% of the total value added of the Large- Scale Manufacturing Sector in the Punjab.

Contd….

Slide 15 Slide 16

¾ OUTPUT Monthly Report on the Survey of Industrial production & Employment containing the detailed Performance reports on the following industries:-

¾ DATA USERS

ƒ Planning & Development Department Government of the Punjab.

ƒ Industries Department, Government of the Punjab • Cotton Textiles • Vegetable Ghee • Beverages • Cement • Footwear • Paper & Paper Board • Pharmaceuticals

• Woolen Textile • Sugar • Cigarettes • Fertilizers • Leather Tanning • Light Engineering

Contd..

ƒ Federal Bureau of Statistics for measuring the

industrial growth through Quantum Index of Manufacturing (QIM).

ƒ Researchers Scholars and Students. ƒ Various Industrial establishments and Private

Enterprises.

Slide 17 Slide 18 DIRECTORY OF REGISTERED

FACTORIES The Directorate of Labour Welfare, Punjab is responsible for registration and de-registration of the factories under the Factories Act, 1934. The Bureau prepares a Directory of Registered Factories in the Punjab and keeps it updated. The Directory contains information on factories listed district/tehsil and industry-wise, arranged alphabetically under each industry. The Directory also contains the information on fixed assets size and employment size etc. This directory supplemented with the latest information available with the Directorate of Industries is used as a Frame for the CMI. Directory of Registered Factories is released annually.

CENSUS OF EDUCATIONAL INSTITUTIONS ¾ Coverage

About one thousand Inter / Degree (Arts & Science) Colleges/Higher Secondary Schools and 319 Professional Colleges, Poly Technical Institutes, Colleges of Technology, Commercial Training Institutes, Teacher’s Training Institutes, Vocational Institutes and Universities etc.

Contd….


80

Slide 19 Slide 20

¾ OUTPUT ƒ Publication on statistics of Intermediate and

Degree colleges in the Punjab.

• Name and address of Institution. • Teaching staff strength. • Class-wise enrolment

¾ DATA USERS ƒ P&D Department Government of the Punjab. ƒ Education Department, Government of the

Punjab. ƒ Researchers Scholars and Students.

ƒ For Inclusion in Bureau’s Publications:-

• Punjab Development Statistics • Statistical Pocket Book of Punjab

SURVEY OF DAILY RETAIL PRICES ¾ COVERAGE

Collection of Daily Retail Prices of 63 Consumable Kitchen Items as prevailing in selected localities of eight big cities i.e Lahore, Rawalpindi, Sargodha, Gujranwala, Faislabad, Multan, Bahawalpur & D.G. Khan.

¾ OUTPUT ƒ Daily & Fortnightly Price Situation Reports ƒ Monthly Prices Report ƒ Annual Prices Situation Report ƒ Special Briefs on Price Situation

Slide 21 Slide 22

¾ DATA USERS

ƒ Secretary, Punjab Prices and Supply Board

ƒ Secretary, Livestock and Dairy Development, Punjab

ƒ Director of Industries, Punjab

ƒ Planning & Development Department, Punjab


• Punjab Development Statistics

• Statistical Pocket Book of Punjab

ƒ Research Institutes

HEALTH STATISTICS ¾ COVERAGE

ƒ Collection of Data from Six thousand Health Institutions viz Hospitals, Dispensaries, Rural Health Centres, Basic Health Units, Sub Health Centres, T.B. Clinic & Maternity/ Child Health Centres Administrated by the Health Department, Home Department, Auqaf Department, District Governments, Pakistan Railways, WAPDA & Punjab Employees Social Security Institutions.

ƒ Medical and Para Medical Staff from Pakistan Medical and Dental Council and Pakistan Nursing Council, Islamabad.

Contd….

Slide 23 Slide 24

¾ OUTPUT

ƒ Situation on Bed Strength, Patient Treated by Tehsils/ Districts in Punjab

ƒ Total Number of Doctors in Punjab

ƒ Total Number of Nurses and LHV’s in Punjab

ƒ Indicators Regarding Number of Doctors, Nurses per thousand population in Punjab.

Contd….

¾ DATA USERS


• Punjab Development Statistics • Statistical Pocket Book of Punjab • Brochure “Punjab in Figures

ƒ Planning & Development Department ƒ Health Department, Punjab ƒ Research Institutes


81

Slide 25 Slide 26

POPULATION PROJECTION

¾ DATA SOURCE

ƒ 1998 Population / Housing Census ƒ National Institute of Population Studies (NIPS)

¾ OUTPUT

ƒ Year wise Population Projection by Tehsils and

Districts ƒ Proportion of Urban / Rural and Male / Female of

Estimated Population ƒ For the Computation of different indicators on

Social Statistics.

¾ DATA USERS


• Punjab Development Statistics • Statistical Pocket Book of Punjab • Brochure “Punjab in Figures

ƒ District Governments ƒ Education Department ƒ Health Department ƒ Industries Department ƒ Research Institutes

Contd….

Slide 27 Slide 28

SOCIO ECONOMIC INDICATORS BY DISTRICT, PUNJAB

¾ DATA SOURCE

ƒ 1998 Population / Housing Census

ƒ Different Publications of Federal Bureau of

Statistics and MINFAL

ƒ Different related Departments of Federal / Provincial Governments

Contd…

¾ OUTPUT

ƒ Eight Indicators of Population and Housing

ƒ Three Indicators of Manpower and Planning

ƒ Two Indicators of Water Supplies and Drainage

ƒ Five Indicators of Education

ƒ Two Indicators of Health

ƒ Two Indicators of Agriculture

ƒ Three Indicators of Transport and Industries

ƒ Two Indicators of Tele Communication

ƒ Five Indicators of Crimes & Road Accidents

Slide 29 Slide 30 GROSS DOMESTIC PRODUCT (GDP) REGULAR/ADHOC PUBLICATIONS

OF THE PUNJAB

¾ CONTENTS ƒ Methodology adopted for preparation of GDP

Estimates of the Punjab ƒ Gross Domestic Products of the Punjab by Sector

at Constant Factor Cost 1999-00 ƒ Sector wise Share of GDP of the Punjab towards

GDP of Pakistan ƒ Structural Changes in GDP of Pakistan and

Punjab ƒ GDP Growth Rates Pakistan and Punjab

Sr. No. 1. 2. 3. 4. 5.

6.

7. 8.

9. 10. 11.

Title

Punjab Development Statistics Statistical Pocket Book of the Punjab Punjab in Figures Crop Acreage Statistics-Kharif Crop Acreage Statistics –Rabi Monthly Survey of Industrial Production & Employment in the Punjab

Monthly survey of Cotton Ginning & Pressing Industry in the Punjab

Directory of Registered Factories in the Punjab

Statistics of Intermediate & Degree Colleges in the Punjab Daily/Fortnightly Retail Prices Report Other Survey Reports.

Frequency

Annual Annual Annual Annual Annual

Monthly Monthly (during Cotton Season)

Annual

Annual

Daily/ Fortnightly

Ad-hoc


82

Slide 31 Slide 32

WEBSITE FOR DATA USERS

www.punjab.gov.pk - Miscellaneous –

Punjab Statistics

THANKS


83

PPlleennaarryy GGrroouupp RReeccoommmmeennddaattiioonnss’’

SSeessssiioonn SSuummmmaarryy During this session, all participants of the workshop were distributed in five groups according to

the areas of their interest to review the scope, coverage, compilation methodologies of the data

presented in the workshop and to prepare recommendations for further improving the quality and

scope of data and to enhance coordination among data compilers and users. Dr. Khattak

emphasized on the importance of the users’ feedback / recommendations, which will be used for

improving both the quality of statistics and interaction among the data compiling agencies, users

and data providers. These recommendations / suggestions would also help for improvement in

the overall statistical system of the country.

Mr. Bernd Struck, Advisor to FBS suggested that FBS should constitute District Price Control

Committees for collection of price data for CPI. Mr. Struck pointed out that many countries

prepare regional GDP estimates but it is not advisable for Pakistan at this stage to compile

Regional / Provincial GDP. He rather recommended to start compiling GDP on quarterly basis.

The quarterly figures should however match with the annual figures and there should be

harmonisation between these accounts. This should be reconciled using the same methods, same

concepts and so on. Mr. Struck suggested quarterly accounts after rebasing or revision of the

national accounts.

RReeccoommmmeennddaattiioonnss ffoorr EExxtteerrnnaall SSeeccttoorr 1. Export data under the head of “others”, where a large number of products are clubbed

together, to be disaggregated at the HS 10 digit level with commodity descriptions so that

a huge amount shown into the ‘other classification’ can be extended into individual

classification. Further, for making HS adjustments in Pakistan, CBR may be asked to

involve all stakeholders like FBS, SBP and EPB to extend or merge the codes because all

stakeholders using same classification developed by CBR.

2. To improve the quality of data on Workers Remittances, differentiation should be

distinguished clearly between worker’s remittances and compensation of employees.

3. The SECP shall provide information on companies having foreign participation and keep

an updated record of them to help facilitate compilation of FDI, FPI and Other

Investments.


84

4. For compiling Pakistan’s International Investment Position, the breakdown of public and

publicly guaranteed loans as per following classification is required:

Opening Stock (FCY)

Equivalent US $

Inflows Outflows(FCY)

Other Changes

Closing Stock (FCY)

EquivalentUS $

a. Government

b. Banks

c. Others (private sector)

5. Since BOP is compiled on monthly basis therefore, FBS may be asked to supply the Land

Borne Trade data on monthly basis by 15th of the following month.

6. After fully implementation of DMFAS (latest version 3.2), the time lag of data on

quarterly disbursement of foreign economic assistance should reduce. EAD may be asked

to expedite the implementation of DMFAS.

7. The SECP shall produce data on internationally accepted standards, like sector

classification of ISIC standards.

8. Establish independent authority for production of better statistics, mostly it relates to the

autonomy of FBS so that responsibility may be balanced with equal authority.

9. Counter checking of data compilation to be assured before its dissemination to the users

mainly relating to the data compiled by two or more agencies like exports data compiled

by FBS & SBP.

10. Computerization of private sector debt data and better coordination between EAD, SBP,

MOF and other aid utilizing agencies as this area needs much attention due to

vulnerability.

11. Such types of workshops should organise at least once in a year, to keep update both the

data compilers and users with the recent developments/changes made in the scope,

coverage, methodologies of data compiled.

12. The custom’s stations / points may be sued to provide goods declaration forms by the 10

of the following month.

RReeccoommmmeennddaattiioonnss ffoorr FFiinnaanncciiaall && FFiissccaall SSeeccttoorr 1. Data should be posted on the websites with time series and with regular frequency so that

researchers could use the updated data in their analysis.

2. Weighted average rate of lending and deposits should be segregated currency wise as it

would help to look at separate effect.


85

3. Basic secondary market data such as secondary market T-bills rates, KIBOR, Forward

rates along with time series should be posted in user-friendly format on website, to make

it available for the users.

4. Explanatory notes to the Data Tables be provided to enhance the utility and

understanding of the data to the users as they are uncomfortable without notes.

5. Micro level data dealing with data on various sectors relating to financing / disbursement

against particular crops be collected and made available, since it is very helpful in

determining the macro environment for credit requirements.

6. Search engines of various organizations do not provide for the needs of the data miners

(visitors). It would facilitate the users to search related data.

7. Wholesale market prices for crops like seed cotton (phutty) and sugarcane should also be

provided so that the difference between the support price and the market (mill gate)

become significant.

8. Harmonized classification with ISIC economic activity classification should be used for

the sectors classification of the registered companies with SECP, to make useful in

integrating data compilations.

RReeccoommmmeennddaattiioonnss ffoorr SSoocciioo--ddeemmooggrraapphhiicc SSeeccttoorr The group has deliberated on the presentations made on Social and Demographic Sector. We

make the following recommendations based on our group discussion:

1. Surveys conducted by NIPS should not confine only to Mortality and Fertility but cover

issues like migration, environmental that closely relate to health and population.

2. The peculiar indicators and variables pertaining to education is another important factor

that must be considered while designing different surveys on social & demographic

issues

3. Producers should consult each other in order to avoid duplication e.g., FBS, NIPS

both collect information on fertility & mortality which confuses the researchers with

different results.

4. NADRA should just give the figures and it should not release literacy rate etc because it

is not a data producing authority and it had issued cards less than 70%. NADRA is

performing the job of registering the people, which may not cater to the needs of

researchers.

5. Panel data should be released because for researchers it could produce more meaningful

results to suggest future policies regarding these social & demographic issues.


86

6. Keeping in view the importance of PIHS / HIES being important sources of

information, the presentations on these surveys should be given to users.

7. The definitions adopted by the Labour Force Survey (LFS) being conducted by

FBS and Population and Housing Census, respectively, are different in reference to their

concept / methodology therefore giving the different labour force participation rate i.e.,

Employment/Unemployment rates. Therefore it was observed and agreed that one

definition of labour force may be used in the labour force survey and Population &

Housing Census.

8. The definition of labour is not aligned with the international accepted standards. In

Pakistan, 15 years age is considered as labour whereas internationally accepted age for

labour is 18 years and above.

RReeccoommmmeennddaattiioonnss oonn RReeaall SSeeccttoorr 1. FBS is preparing quarterly GDP estimates. The quarterly figures should match with the

annual figures, there should be some harmonisation between national accounts and

quarterly accounts and they should be reconciled using the same methods and concepts. It

is recommended to come up with quarterly accounts not before the next rebasing or

revision of national accounts.

2. The crops estimates are received from crops reporting services and there is a need to

review its compilation methodologies. In the next workshop, Crops Reporting

Directorates of Provinces may arrange a presentation. This would enlighten in detail

about the primary data collection of crops.

3. Agriculture Credit Disbursement Data should be provided by SBP on quarterly basis and

District wise so that credit disparities should be highlighted/addressed.

4. The format of quarterly reports of the companies registered with SECP should be

designed in a way that caters the requirements of National Accounts. This would help

FBS to prepare the National Accounts data and reduce the cost and time involved.

5. Quality of data especially from the manufacturing establishment is very poor. Therefore,

the provincial / local governments should legally bind / force the establishments to

provide the data adequately and timely.

6. For adequate data of manufacturing, the provincial departments of labour should ask to

make a presentation on Census of Manufacturing Industries.

7. It is observed that the Federal / Provincial Bureaus of Statistics are not adequately

manned. Therefore, these organizations must be strengthened adequately.


87

8. FBS should be representative of the District Price Control Committees to share the

information. Currently, there is not any District Price Control Committees in Pakistan.

RReeccoommmmeennddaattiioonnss oonn MMiisscceellllaanneeoouuss SSeeccttoorr 11)) DDaattaa CCoommppiilleerr SSiiddee

1. There is a need of standardization of terminology, tools and techniques used in the

compilation of data. There should be a strong coordination among the data compilers to

avoid duplication of data thus producing more reliable and quality data.

2. Timely dissemination of data to the potential users.

3. The design of the survey should base on modern sampling techniques.

4. There is an ample need for compilation of qualitative data to arrive at sensitive indicators.

5. Due to the rapid changes locally and internationally, the statistical act 1975 needs to be

review and updating.

22)) DDaattaa UUsseerr SSiiddee

1. Appropriate interaction between the compilers and users is required.

2. There is need of proper feedback from data users to the data compilers.

3. The data users and researchers must understand the fundamental purpose and objectives

based on which data collected.

4. Data users want consistency in data (while making time series analysis) which must be

ensured.

33)) WWoorrkksshhoopp SSiiddee

1. Some case studies should take up during workshop so that the real analytical problems in

the data could be identified.

2. Participation of all the stakeholders should be ensured.

3. The existing time-period for this kind of good initiative was not sufficient.

4. To enhance the interest of the potential participants, competitive remuneration should be

granted as it happens in other energetic organizations.


88

CCoommmmeennttss ooff tthhee PPaarrttiicciippaannttss 1. The basis of formula used in the publications should be given with sufficient

explanations.

2. It was a good effort to organise such type of workshop as it gave us other aspects of

statistical data. The workshop should be organised on regular basis, to give an

opportunity to different organisations to interact each other. These workshops may be

organised at all provincial capital cities to give opportunities for stakeholders of these

cities.

3. Data should be collected from all segments of population including rural population.

4. The functions of Provincial Bureaus of Statistics should be formulated to work under the

umbrella of Federal Bureau of Statistics. The coordination between the Provincial

Bureaus of Statistics and Federal Bureau Statistics should be enhanced and if there are

certain functions, which are overlapping, then they should merge. Further to improve the

quality and comprehension of data, the FBS and other data providing agencies should

also discuss the methodologies used to prepare the results/estimates so that the user may

use the results in the same context. Further, it has been seen that the guides provided with

the questionnaires for collection of data by various data collecting agencies (like FBS)

are usually not clear or these are restricted to certain examples. These guidelines should

be clear so that the source may provide accurate data.

5. Data on social sector may be included. Several other variables, which are the better

indicators of development such as health, environmental and other socio-economic

conditions, should be included.

6. Data on financial sector as well as other sectors of economy should be made available at

micro level. In recent years, regulatory reforms in various sectors have developed the

interests of both policymakers and academia to analyse the impact of these measures on

the performance of the firms. For example, data on utilities sector is not available for the

analysis of these entities’ performance to subset the future measures to enhance the

performance of these individual firms on incentive basis etc.

7. The main benefits of such workshops are that the participants get chance to share their

ideas among all the participants and as well as the interaction of different departments

working on data and the data collection agencies.

8. There is a need to review the methodology of data collection and compilation. Classical

methods should be replaced by advance methods. Capacity building programs should be

arranged for data compilers.


89

9. Socio-demographic data like population, provision of facilities to the people, provision of

drinkable water, food, cloths etc should be collected properly. Besides population census

data relating to other social sectors like health, environment, diseases, availability of

facilities to the public should also be collected and all the facilities should be provided.

10. The workshop provided a forum to collaborate data compilers & users in order to make

recommendations for achieving the prime objectives of quality statistics. It was an

excellent endeavour of SBP, which must continue.

11. IT and other new techniques should be used in collection, compilation, analysis and

dissemination of data in all sectors of the economy.

12. We should make our data compatible to that of international level (e.g. in terms of time

horizon) so that cross-country comparisons could be made.

13. Statistics on corruption, environmental activities, salaried class and real estate should be

included.

14. Data regarding all aspects are collected from cities and not from villages. Therefore, the

data collected in this way is not true and just a formality. This does not solve the purpose.

15. The participation of Data Users should increase to have maximum feedback in this

context. Private sector, government organisations and donors should also be invited at the

large scale. This type of workshop should be arranged every year.

16. Pakistan Statistical Year book 2005 covered data of 2004 – 2005. We as a researcher are

concerned with most updated data on current economic situation and this made it very

difficult to get data.

17. Frequent surveys for the services sector and more area coverage will make national

accounts more comprehensive.

18. CPI, WPI and SPI should cover most of the sectors and more income group extending

surveys to rural areas. As rural areas always are ignored for data collection etc.


90

CClloossiinngg SSeessssiioonn

CClloossiinngg//CCoonncclluuddiinngg RReemmaarrkkss bbyy MMrr.. SSttrruucckk,, FFBBSS Mr. Bernd Struck, German Agency for Technical Cooperation (GTZ), Advisor to the Federal

Bureau of Statistics, chaired the closing session of the workshop. In his concluding remarks, he

referred to the Deputy State Bank Governor who in his introductory speech had encouraged the

participants of the workshop to get into cooperation with each other. Mr. Struck took the

conclusion that nobody disagrees that it was a good idea to hold this workshop as there is a lot of

statistics and even more data than the users expect. The various presentations may have fostered

transparency and mutual exchange of ideas.

Mr. Struck emphasized that providing statistics means to be in a production chain which does not

only involve SBP, the statistical offices and the users of statistics but the respondents, also. The

civil society of Pakistan and especially the enterprises should be aware of the fact that good

governance needs a profound data base for targeting and for decision taking and that respondents

have to provide their data for that purpose. The media should assist these efforts.

Mr. Struck also referred to Dr. Larik who earlier the day had demanded that we have to close the

gap between statistical science and statistical practice and that cooperation is the demand of time.

This would include applying harmonized classification throughout Pakistan’s set-up of official

and semi-official statistics. This would also mean that the specialist undertake all efforts to use a

language that the users understand. Official statistics have to give satisfactory meta data, viz data

about the data, and to give hints where the data can be found. The internet would be a very useful

tool for providing all this information.

Mr. Struck gave his comment to demands of regional Accounts. He urgently pleaded for

conducting regional Accounts and calculating regional GDP in a harmonized way using uniform

concepts agreed between and applied by all provinces. In ideal case there would be a working

group including the FBS to outline the concepts and to share the workload of a joint calculation

of provincial GDPs.

At the end, he thanked to those who have organised this workshop. He said many thanks to Dr.

Khattak & his team from Sate Bank for organising the seminar. He thanked to those who made

the presentations.


91

NNoottee ooff TThhaannkkss bbyy DDiirreeccttoorr SSttaattiissttiiccss Mr. Kazi Abdul Muktadir, MD – INBAF, Distinguished guests, ladies and gentlemen.

First of all I would like to congratulate State Bank of Pakistan for successfully conducting this

workshop and providing this wonderful opportunity for the policy makers, planners,

professionals, researchers and generalists to benefit from the results and methodologies of data

compiling agencies. This workshop in particular has provided a forum where views were

exchanged and valuable feedback was provided to SBP/data compiling agencies to further

improve the quality and usefulness of the data.

This workshop has also provided better understanding regarding the activities and availability of

data by the data compiling agencies to the users and I hope that in future they will have a better

understanding of the data for their benefit. Data compilers should also reorient strategies and

expand the scope & coverage of their statistics in a way to make it more useful for the users.

The presentations were made on Balance of Payments, International Reserves and Foreign

Currency Liquidity, International Investment Position, Foreign Trade, External Debt, Population

Statistics, Analytical Accounts of the Banking Sector, Analytical Accounts of the Central Bank,

National Accounts, Production Index, Labour Market Employment, Labour Market

Wages/Earnings, Labour Market Unemployment, Price Index Consumer Prices, Price Index

Producer Prices, and by SECP, Bureaus of Statistics. Due to active participation of the

participants, the SBP has obtained very useful feedback. So this workshop has achieved its

objectives as per expectations.

The recommendations for further improvements in the statistics of each sector made during this

workshop by the Plenary Sessions have been very well taken and will be used by the SBP/data

compiling agencies for its future plan. I also hope that SBP will continue to conduct this type of

workshops to disseminate about their activities and provide an opportunity to the users/data

compiling agencies of their data to benefit from it and this ultimately provide feedback to SBP as

regular activity.

With this I would like to thank all the distinguished guests, presenters, learned Chairpersons and

participants, who are here with us for the whole day and have contributed to this workshop. I

thank you again.


92

AAnnnneexxuurree CCoonnffeerreennccee PPrrooggrraammmmee DDaayy 11 –– JJuullyy 2255,, 22000066 ((TTuueessddaayy)) 0830-0945 Registration of Participants

0945-0950 Recitation from Holy Quran

0950-1010 Welcome address by MD – NIBAF State Bank of Pakistan

1010-1035 Inaugural address by Deputy Governor State Bank of Pakistan

1035-1045 Tea Break

IInnttrroodduuccttoorryy SSeessssiioonn

1045-1115 Functions of Statistics Department of SBP, by Director Statistics, SBP

TTeecchhnniiccaall SSeessssiioonn -- EExxtteerrnnaall SSeeccttoorr

(Chairperson: Mr. K. K. Suri – Consultant, Exports Promotions Bureau)

1115-1130 Presentation on Balance of Payments

(Mr. Zafar Iqbal, Joint Director, Statistics Department, SBP)

1130-1200 Presentation on International Reserves & Foreign Currency Liquidity

(Mr. Ghulam Rabbani, Assistant Director, Accounts Department, SBP)

1200-1215 Presentation on International Investment Position

(Mr. Shamsul Arifeen, Junior Joint Director, Statistics Department, SBP)

1215-1230 Presentation on Foreign Trade

(Mr. Khalid Siddique, Director, Trade, Federal Bureau of Statistics)

1230-1245 Presentation on External Debt


93

(Mr. Muhammad Afaq, Assistant Chief, Economic Affair Division)

1245-1300 Q.A

1300-1315 Concluding remarks by Chairperson

1315-1400 Lunch/Prayers Break

TTeecchhnniiccaall SSeessssiioonn:: SSoocciioo--ddeemmooggrraapphhiicc DDaattaa && FFiinnaanncciiaall SSeeccttoorr

(Chairperson: Dr. Naushin Mahmood – Joint Director, PIDE, Islamabad)

1430-1445 Presentation on Population Statistics

(Mr. Mehboob Sultan, National Institute of Population Studies)

1445-1500 Presentation on Population Statistics

(Mr. Ahsan-ul-Haq, Population Census Organization)

1500-1515 Q.A


1530-1600 Tea Break

1600-1630 Analytical Accounts of Central Bank & Other Depository Corporations

(Mr. Naseer Ahmed, Joint Director, Statistics Department, SBP)

1630-1645 Q.A


DDaayy 22 –– JJuullyy 2266,, 22000066 ((WWeeddnneessddaayy))

TTeecchhnniiccaall SSeessssiioonn:: RReeaall SSeeccttoorr

(Chairperson: Dr. N. M. Larik – EX–Director General, FBS, Pakistan)

0930-0945 Presentation on National Accounts


94

(Mr. Arif Mehmood Cheema, Deputy Director General, FBS)

0945-1000 Presentation on Production Index

(Mr. Rana Ishaq, Director – Industries, FBS)

1000-1015 Presentation on Labour Force Survey

(Mr. Mazhar Hussain Hashmi, Deputy Director General, FBS)

1015-1030 Presentation on Price Index Consumer Prices, Price Index Producer Prices

(Mr. Abdul Azeem Sahito, Director – Prices, FBS)

1030-1045 Q.A

1045-1100 Concluding remarks by the Chairperson

1100- 1115 Tea Break

TTeecchhnniiccaall SSeessssiioonn:: MMiisscceellllaanneeoouuss SSeeccttoorr

(Chairperson: Dr. Faqir Muhammad, Chairman, Mathematics & Statistics Department, AIOU)

1115-1130 Presentation on Statistics compiled by SECP

(Mr. Ali Rehman, Director – MIS, SECP)

1130-1145 Statistics compiled by Provincial Bureaus of Statistics

(Mr. Shamim Rafique, Deputy Director, PBS)

1145-1200 Q.A

1200-1215 Concluding remarks by the Chairperson

1215-1300 Plenary Sessions

1300-1400 Lunch/Prayers Break

1400-1500 Plenary Sessions


95

1500-1600 Groups Presentations

CClloossiinngg SSeessssiioonn

1600-1630 Concluding remarks by Mr. Bernd Struck

1630-1645 Note of thanks

(Dr. Azizullah Khattak, Director Statistics, Statistics Department, SBP)

1645- 1700 Tea


96

LLiisstt ooff PPaarrttiicciippaannttss SSLL.. NNAAMMEE OORRGGAANNIIZZAATTIIOONN 1 Dr. Farzana Noushab Asian Development Bank.

2 Dr. Nadeem Shafiq Malik Ministry of Labour & Manpower

3 Ms. Zartashia Ghani Lahore Chamber of Commerce

4 Mr. Abdul Latif Economic Affairs Division

5 Dr. Naeem-ur-Rehman Peshawar University

6 Mr. Malik Muhammad Afaq Economic Affairs Division

7 Mr. Zafar Iqbal State Bank of Pakistan

8 Mr. Shamsul Arifeen State Bank of Pakistan

9 Mr. Ghulam Rabbani State Bank of Pakistan

10 Mr. Khalid Siddiqui Federal Bureau of Statistics

11 Mr. Khalid Mehmood Federal Bureau of Statistics

12 Mr. Abdul Sami ENERCON

13 Mr. Muzzafar Ali Pakistan Census Organisation

14 Mr. A. M. Kaisrani Ministry of Finance

15 Mr. Bernd Struck Advisor, Federal Bureau of Statistics

16 Mr. A. H. Makhdoom Federal Bureau of Statistics

17 Mr. Muhammad Saeed Ministry of Finance

18 Mr. Ali Rehman SECP

19 Mr. Aslam Shabir Baloch Bureau of Statistics, Baluchistan

20 Mr. Abdullah Soomro Bureau of Statistics, Sindh

21 Dr. Abdul Saboor University of Sargodha

22 Mr. Muhammad Tayyib NIPA, Peshawar

23 Mr. Shamim Rafiq Bureau of Statistics, Punjab

24 Mr. Attiq-ur-Rehman Ministry of Industry

25 Mr. Arshad Mehmood Bureau of Statistics, NWFP

26 Mr. Abdur Rehman SBP: BSC (Bank), Islamabad

27 Mr. Moazzim Iqbal Pakistan Micro Finance Network

28 Mr. Ayaz Mehmood COMSATS

29 Mr. Shahid Iqbal COMSATS

30 Mr. Muhammad Sardar Bhatti Statistic Division

31 Mr. Zafar ullah Khan Statistic Division

32 Mr. Asif Masood Pakistan Agriculture Research Council

33 Mr. Abdul Azeem Sahito Federal Bureau of Statistics


97

SSLL.. NNAAMMEE OORRGGAANNIIZZAATTIIOONN 34 Mr. Arif Mehmood Cheema Federal Bureau of Statistics

35 Mr. Raees-ul-Hasan Federal Bureau of Statistics

36 Mr. Rana Ishaq Federal Bureau of Statistics

37 Mr. Munir Ahmed Aslam Federal Bureau of Statistics

38 Dr. N. M. Larik Federal Bureau of Statistics

39 Mr. Shoaib Bashir Ministry of Food & Agriculture

40 Mr. M. Abdullah Soomro Economic Affairs Division

41 Ms. Farhat-ul-Ain Qureshi SBP: BSC (Bank), Islamabad

42 Malik Muhammad Suleman Punjab Provincial Cooperative Bank

43 Mr. Najeeb Qadir Central Board of Revenue

44 Dr. Muhammad Aslam Quaid-e-Azam University

45 Ms. Shaheen Malik World Ban

46 Ms. Arooj Fayyaz LCCI

47 Mr. Aamir Iqbal Al Baraka Bank

48 Dr. Muhammad Riaz Zarai Tarqiati Bank Ltd.

49 Mr. Tassaduq Hussain Punjab Provincial Cooperative Bank.

50 Mr. Tahir Iqbal Butt Punjab Provincial Cooperative Bank.

51 Mr. Zaheer Sabir SBP BSC (Bank), Rawalpindi

52 Mr. Amir Nazir Bhatti SBP BSC (Bank), Rawalpindi

53 Mr. Muhammad Tufail MINFAL

54 Mr. Amir Hameed Prime Bank Ltd.

55 Mr. Shahid Aman SME Bank Ltd.

56 Brig. Shahzad Karim Directorate Budget, GHQ, Rawalpindi.

57 Mr. Sibt-ul-Hasnain Kazmi International Monetary Fund

58 Mr. Mehboob Sultan NIPS

59 Mr. Ahsan-ul-Haq Pakistan Census Organisation

60 Mrs. Farida Agha Pakistan Medical Research Council

61 Mr. Maqsood Sadiq CPRID

62 Mr. Jamil Ahmad READ Foundation.

63 Mr. Asif Ali Federal Urdu University

64 Mr. Muhammad Asim Pakistan Medical Research Council

65 Mr. Shabbir Ahmad International Islamic University

66 Dr. Abdul Qayum PIDE

67 Mr. Saghir Pervaiz Ghauri PIDE

68 Mr. Ihsan-ul-Haq Population Census Department


98

SSLL.. NNAAMMEE OORRGGAANNIIZZAATTIIOONN 69 Mr. Sohail Mehboob NIBAF – Islamabad

70 Mr. Muhammad Latif Planning & Development Division

71 Mr. Shakir H. Shamim Board of Investment

72 Dr. Faqir Muhammad Allama Iqbal Open University

73 Mr. K. K. Suri Exports Promotion Bureau

74 Dr. Naushin Mahmood PIDE

75 Ms. Sarah Hornell Advisor, OFID

76 Dr. Arshad Ahmed Allama Iqbal Open University

77 Mr. Muhammad Zakaria Allama Iqbal Open University

78 Dr. Ahmed Nawaz Quaid-e-Azam University

79 Mr. Abdul Sattar Quaid-e-Azam University

80 Dr. Amanullah Agriculture University, Peshawar

81 Dr. Hamidullah Agriculture University, Peshawar

82 Mr. Riaz-ul-Haq Board of Investment


99

LLiisstt ooff PPaarrttiicciippaannttss –– PPlleennaarryy SSeessssiioonn WWiissee EExxtteerrnnaall SSeeccttoorr SL. # NAME ORGANIZATION

1 Dr. Farzana Noushab Asian Development Bank

2 Dr. Nadeem Shafiq Malik Ministry of Labour & Manpower.

3 Ms. Zartashia Ghani LCCI

4 Mr. Abdul Latif Economic Affairs Division.

5 Dr. Naeem-ur-Rehman Peshawar University

6 Mr. Malik Muhammad Afaq Economic Affairs Division.

7 Mr. Zafar Iqbal State Bank of Pakistan.

8 Mr. Shamsul Arifeen State Bank of Pakistan.

9 Mr. Ghulam Rabbani State Bank of Pakistan.

10 Mr. Khalid Siddiqui Federal Bureau of Statistics.

11 Mr. Abdul Sami Sheikh ENERCON.

12 Mr. Muzzafar Ali Pakistan Census Organisation.

13 Mr. A. M. Kaisrani Ministry of Finance.

14 Mr. Bernd Struck Consultant, FBS

15 Mr. A. H. Makhdoom Federal Bureau of Statistics.

16 Mr. Muhammad Saeed Ministry of Finance.

17 Mr. Shakir M. Shamim Board of Investment.

SSoocciioo DDeemmooggrraapphhiicc SSeeccttoorr SL. # NAME ORGANIZATION

1 Mr. Mehboob Sultan NIPS

2 Mr. Ahsan-ul-Haq Pakistan Census Organisation.

3 Mrs. Farida Agha Pakistan Medical Research Council.

4 Mr. Maqsood Sadiq CPRID.

5 Mr. Jamil Ahmad READ Foundation.

6 Mr. Asif Ali Federal Urdu University.

7 Mr. Muhammad Asim Pakistan Medical Research Council.

8 Mr. Shabbir Ahmad International Islamic University

9 Dr. Irshad Ahmed Allama Iqbal Open University.


100

SL. # NAME ORGANIZATION

10 Mr. M. Zakaria Allama Iqbal Open University.

FFiinnaanncciiaall && FFiissccaall SSeeccttoorr SL. # NAME ORGANIZATION

1 Mr. Naseer Ahmad State Bank of Pakistan.

2 Ms. Arooj Fayyaz LCCI

3 Mr. Aamir Iqbal Al Baraka Bank Ltd.

4 Dr. Muhammad Riaz Zarai Tarqiati Bank Ltd.

5 Mr. Tassaduq Hussain Punjab Provincial Cooperative Bank.

6 Mr. Tahir Iqbal Butt Punjab Provincial Cooperative Bank.

7 Mr. Zaheer Sabir SBP BSC (Bank), Rawalpindi.

8 Mr. Amir Nazir Bhatti SBP BSC (Bank), Rawalpindi.

9 Mr. Mohamed Tufail MINFAL.

10 Mr. Amir Hameed Prime Bank Ltd.

11 Mr. Shahid Aman SME Bank Ltd.

12 Brig. Shahzad Karim Directorate Budget GHQ RWP

13 Mr. Sibt-ul-Hasnain Kazmi International Monetary Fund.

14 Mr. Shafiq-ur-Rehman SECP

15 Mr. Habib Qadir SECP

16 Mr. Amir Ahmed Prime Commercial Bank Ltd

RReeaall SSeeccttoorr SL. # NAME ORGANIZATION

1 Mr. Muhammad Sardar Bhatti Statistic Division.

2 Mr. Zafar ullah Khan Statistic Division.

3 Mr. Asif Masood PARC

4 Mr. Abdul Azeem Sahito Federal Bureau of Statistics.

5 Mr. Arif Mehmood Cheema Federal Bureau of Statistics.

6 Mr. Raees-ul-Hasan Federal Bureau of Statistics.

7 Mr. Rana Ishaq Federal Bureau of Statistics.

8 Mr. Munir Aslam Federal Bureau of Statistics.

9 Dr. N. M. Larik Federal Bureau of Statistics.


101

SL. # NAME ORGANIZATION

10 Mr. Shoaib Bashir Ministry of Food & Agriculture.

11 Mr. Muhammad Abdullah Economic Affairs Division.

12 Ms. Farhat-ul-Ain Qureshi SBP: BSC (Bank), Islamabad.

13 Malik Muhammad Suleman Punjab Provincial Cooperative Bank.

14 Dr. Muhammad Aslam Quaid-e-Azam University.

15 Ms. Shaheen Malik World Bank.

16 Mr. Atiq-ur-Rehman Ministry of Industry.

MMiisscceellllaanneeoouuss SSeeccttoorr SL. # NAME ORGANIZATION

1 Mr. Ali Rehman SECP

2 Mr. Aslam Shabir Baloch Bureau of Statistics, Baluchistan.

3 Mr. Abdullah Soomro Bureau of Statistics, Sindh.

4 Dr. Abdul Saboor University of Sargodha.

5 Mr. Muhammad Tayyib NIPA, Peshawar.

6 Mr. Shamim Rafiq Bureau of Statistics, Punjab.

7 Mr. Arshad Mehmood Bureau of Statistics, NWFP.

8 Mr. Abdur Rehman SBP: BSC (Bank), Islamabad.

9 Mr. Moazzim Iqbal Pakistan Micro Finance Network.

10 Mr. Ayaz Mehmood COMSATS.

11 Mr. Shahid Iqbal COMSATS.

WWoorrkksshhoopp MMaannaaggeemmeenntt TTeeaamm//OOrrggaanniizzeerrss SL. # NAME DESIGNATION ORGANIZATION

1 Dr. Azizullah Khattak Director SBP

2 Dr. Ishaque Ahmed Ansari Joint Director SBP

3 Mr. Naseer Ahmed Joint Director SBP

4 Dr. S. M. Husnain Bokhari Junior Joint Director SBP

5 Mirza Kaleem ullah Statistical Officer SBP

6 Mr. Muhammad Umer Officer SBP

2nd Users-Producers Workshop on Collaboration among Data Compilers & Users

102

Evaluation 2-Day Users-Producers Workshop on Collaboration among Data Compilers & Users

At NIBAF - Islamabad (Junly 25-26, 2006)

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

Excellent 46% 32% 57% 31% 33% 27%

Very Good 35% 44% 30% 33% 42% 38%

Good 19% 21% 12% 25% 20% 24%

Satisfacroty 0% 2% 1% 10% 5% 11%

Not Satisfactoy 0% 0% 0% 1% 0% 0%

Clear Workshop Objectives Turn up to Expectations Initiative taken by SBP Workshop Duration Contents of Workshop Overall Assessment


103

AAccrroonnyymmss

AKU – The Agha Khan University

BBS – Balochistan Bureau of Statistics

BOP – Balance of Payments

BPM5 – Balance of Payments Manual 5th Edition

CBM – College of Business Management

CBR – Central Board of Revenue

CC– Census Commissioner

CERS – Currency Exchange Rate System

CMI – Census of Manufacturing Industries

CPI – Consumer Price Index

CRCS – Company Registration & Compliance System

CSO – Chief Statistical Officer

CCI – Chamber of Commerce & Industry

DCS – Depository Corporations Survey

DDG – Deputy Director General

DG – Director General

DMFAS – Debt Management & Financial Analysis System

DMIS – Deposit Money Institutions Survey

DR – Discount Rates

EAD – Economic Affairs Division

EPB – Export Promotion Bureau

FBS – Federal Bureau of Statistics

FC – Factor Cost

FDI – Foreign Direct Investment

FFAs – Flow of Funds Accounts

FIBR – Floating Interbank Exchange Rate

FMA – Financial Market Association

FSOE – Financial Statistics of the Economy

GDP – Gross Domestic Product

GDs – Goods Declaration

GFCF – Gross Fixed Capital Formation

GNP – Gross Net Product

GOB – Government of Balochistan


104

GONWFP – Government of NWFP

GOP – Government of Punjab

GOS – Government of Sindh

HS – Harmonised System

IBA – Institute of Business Administration

IBP – Institute of Bankers Pakistan

IIP – International Investment Position

KIBOR - Karachi Interbank Offered Rate

KSE – The Karachi Stock Exchange

KU – Karachi University

LFS – Labour Force Survey

LIBOR – London Interbank Offered Rate

LSM – Large Scale Manufacturing

LSS – Labour & Social Statistics

MFSM – Monetary & Financial Statistics Manual

MINFAL – Ministry of Food Agriculture and Live Stock

MIS – Management Information System

MOF – Ministry of Finance

MOFEA – Ministry of Finance & Economic Affairs

MTB – Market Treasury Bills

NA – National Accounts

NBFIs – Non-Bank Financial Institutions

NGOs – Non-Government Organisations

NIPS – National Institute of Population Studies

NWFPBS – NWFP Bureau of Statistics

NYSE – New York Stock Exchange

ODCS – Other Depository Corporations Survey

OFCS – Other Financial Corporations Survey

OMO – Open Market Operations

PuBS – Punjab Bureau of Statistics

PBS – Provincial Bureaus of Statistics

PCO – Population Census Organization

PDD – Planning & Development Division

PDI – Provincial Directorate of Industries

PIB – Pakistan Investment Bonds

PIDE – Pakistan Institute of Development Economics


105

PILER – Pakistan Institute of Labour Education & Research

PPI – Producers Price Index

PS – Price Statistics

QAU – Quaid-e-Azam University

SBP – State Bank of Pakistan

SBS – Sindh Bureau of Statistics

SCS – Financial Corporations Survey

SU – Sindh University

SECP – Security Exchange Commission of Pakistan

SEMIS – Sindh Education Management Information System

SHMI – Survey of Small Scale & Household Manufacturing Industries

SPI – Sensitive Price Index

SPDC – Social Policy and Development Centre

SSMI – Small Scale Manufacturing Industries

SZABIST – Shaheed Zulfiqar Ali Bhutto Institute of Science & Technology

TC – Technical Committee

WPI – Whole Price Index

state bank of pakistan · comments of the participants 88 closing session 90 closing/concluding...

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