GapMaps GIS data for USA and Canada sourced from Applied Geographic Solutions (AGS) includes an extensive range of the highest quality demographic and lifestyle segmentation products. All databases are derived from superior source data and the most sophisticated, refined, and proven methodologies.

GIS Data attributes include:

1. Latest Estimates and Projections The estimates and projections database includes a wide range of core demographic data variables for the current year and 5- year projections, covering five broad topic areas: population, households, income, labor force, and dwellings.

2. Crime Risk Crime Risk is the result of an extensive analysis of a rolling seven years of FBI crime statistics. Based on detailed modeling of the relationships between crime and demographics, Crime Risk provides an accurate view of the relative risk of specific crime types (personal, property and total) at the block and block group level.

3. Panorama Segmentation AGS has created a segmentation system for the United States called Panorama. Panorama has been coded with the MRI Survey data to bring you Consumer Behavior profiles associated with this segmentation system.

4. Business Counts Business Counts is a geographic summary database of business establishments, employment, occupation and retail sales.

5. Non-Resident Population The AGS non-resident population estimates utilize a wide range of data sources to model the factors which drive tourists to particular locations, and to match that demand with the supply of available accommodations.

6. Consumer Expenditures AGS provides current year and 5-year projected expenditures for over 390 individual categories that collectively cover almost 95% of household spending.

7. Retail Potential This tabulation utilizes the Census of Retail Trade tables which cross-tabulate store type by merchandise line.

8. Environmental Risk The environmental suite of data consists of several separate database components including: -Weather Risks -Seismological Risks -Wildfire Risk -Climate -Air Quality -Elevation and terrain

Primary Use Cases for GapMaps GIS Data:

1. Retail (eg. Fast Food/ QSR, Cafe, Fitness, Supermarket/Grocery)
2. Customer Profiling: get a detailed understanding of the demographic & segmentation profile of your customers, where they work and their spending potential
3. Analyse your trade areas at a granular census block level using all the key metrics
4. Site Selection: Identify optimal locations for future expansion and benchmark performance across existing locations.
5. Target Marketing: Develop effective marketing strategies to acquire more customers.

6. Integrate AGS demographic data with your existing GIS or BI platform to generate powerful visualizations.

7. Finance / Insurance (eg. Hedge Funds, Investment Advisors, Investment Research, REITs, Private Equity, VC)

8. Network Planning

9. Customer (Risk) Profiling for insurance/loan approvals

10. Target Marketing

11. Competitive Analysis

12. Market Optimization

13. Commercial Real-Estate (Brokers, Developers, Investors, Single & Multi-tenant O/O)

14. Tenant Recruitment

15. Target Marketing

16. Market Potential / Gap Analysis

17. Marketing / Advertising (Billboards/OOH, Marketing Agencies, Indoor Screens)

18. Customer Profiling

19. Target Marketing

20. Market Share Analysis

Abstract

Introduction

The Annual Survey of Industries (ASI) is one of the large-scale sample survey conducted by Field Operation Division of National Sample Survey Office for more than three decades with the objective of collecting comprehensive information related to registered factories on annual basis. ASI is the primary source of data for facilitating systematic study of the structure of industries, analysis of various factors influencing industries in the country and creating a database for formulation of industrial policy.

The main objectives of the Annual Survey of Industries are briefly as follows:

(a) Estimation of the contribution of manufacturing industries as a whole and of each unit to national income.

(b) Systematic study of the structure of industry as a whole and of each type of industry and each unit.

(c) Casual analysis of the various factors influencing industry in the country: and

(d) Provision of comprehensive, factual and systematic basis for the formulation of policy.

The Annual Survey of Industries (ASI) is the principal source of industrial statistics in India. It provides statistical information to assess changes in the growth, composition and structure of organised manufacturing sector comprising activities related to manufacturing processes, repair services, gas and water supply and cold storage. The Survey is conducted annually under the statutory provisions of the Collection of Statistics Act 1953, and the Rules framed there-under in 1959, except in the State of Jammu & Kashmir where it is conducted under the State Collection of Statistics Act, 1961 and the rules framed there-under in 1964.

Geographic coverage

The ASI is the principal source of industrial statistics in India and extends to the entire country except Arunachal Pradesh, Mizoram & Sikkim and the Union Territory of Lakshadweep. It covers all factories registered under Sections 2m(i) and 2m(ii) of the Factories Act, 1948.

Analysis unit

The primary unit of enumeration in the survey is a factory in the case of manufacturing industries, a workshop in the case of repair services, an undertaking or a licensee in the case of electricity, gas & water supply undertakings and an establishment in the case of bidi & cigar industries. The owner of two or more establishments located in the same State and pertaining to the same industry group and belonging to census scheme is, however, permitted to furnish a single consolidated return. Such consolidated returns are common feature in the case of bidi and cigar establishments, electricity and certain public sector undertakings.

Universe

The survey cover factories registered under the Factory Act 1948.

Establishments under the control of the Defence Ministry,oil storage and distribution units, restaurants and cafes and technical training institutions not producing anything for sale or exchange were kept outside the coverage of the ASI.

Kind of data

Sample survey data [ssd]

Sampling procedure

Sampling Procedure

The sampling design followed in ASI 1998-99 is a Circular Systematic one. All the factories in the updated frame (universe) are divided into two sectors, viz., Census and Sample.

Census Sector: Census Sector is defined as follows:

a) All the complete enumeration States namely, Manipur, Meghalaya, Nagaland, Tripura and Andaman & Nicobar Islands. b) For the rest of the States/ UT's., (i) units having 200 or more workers, and (ii) all factories covered under Joint Returns.

Rest of the factories found in the frame constituted Sample sector on which sampling was done. Factories under Biri & Cigar sector were not considered uniformly under census sector. Factories under this sector were treated for inclusion in census sector as per definition above (i.e., more than 200 workers and/or joint returns). After identifying Census sector factories, rest of the factories were arranged in ascending order of States, NIC-98 (4 digit), number of workers and district and properly numbered. The Sampling was taken within each stratum (State X Sector X 4-digit NIC) with a minimum of 8 samples in each stratum in the form of 2 sub-samples. For the first time, all electricity undertakings other than captive units, Government Departmental undertakings such as Railway Workshops, P & T workshops etc. were kept out of coverage of ASI.

Sampling deviation

There was no deviation from sample design in ASI 1998-99.

Mode of data collection

Face-to-face [f2f]

Cleaning operations

Pre-data entry scrutiny was carried out on the schedules for inter and intra block consistency checks. Such editing was mostly manual, although some editing was automatic. But, for major inconsistencies, the schedules were referred back to NSSO (FOD) for clarifications/modifications.

The final unit level data of ASI 98-99 is available now in electronic media. This document describes additional information regarding ASI 98-99 data from the point of data processing. Users of ASI 98-99 data are requested to read this document carefully before they attempt to process the unit level data for their own purpose. They are also requested to refer to the schedule and the instruction manual for filling up the schedule before interpreting contents of various data fields. A. Contents The CD (or any other media) should contain the following files: ASI99.TXT This file contains unit level detail data of ASI 98-99 as per structure given in ANNEXURE- Total no. of records: 104740 XASI98.TXT (Metadata created from this .TXT file) This file contains unit level detail data of ASI 97-98 for those factories which were found not responding during the survey of ASI 98-99. The record layout is already available with the Computer Centre, New Delhi. Record Length: 135 Total no. of records: 6974 README.DOC This file.

B. Tabulation procedure The tabulation procedure by CSO(ISW) includes both the ASI 98-99 data and the extracted data from ASI 97-98 for all tabulation purpose. To make results comparable, users are requested to follow the same procedure. For calculation of various parameters, users are requested to refer instruction manual/report for the respective years. Please note that a separate inflation factor (Multiplier) is available for each factory against records belonging to Block-A ,pos:38-46 (Please refer ANNEXURE-I) for ASI 98-99 data. Since the data extracted from ASI 97-98 belong to Census Sector no such inflation (Multiplier) factor is required. Industry code as per Return(5-digit level of NIC-98) Industry code as reported by the factories in Block-A, Item 1 has been further codified because of the following two policies practiced at CSO(ISW). Tabulation policy: As per the latest tabulation policy, it has been decided to publish detail information regarding factories belonging to 01 to 37 of industry codes( 2-digit, NIC-98). Factories belonging to other industry groups would be clubbed together and to be published under 'Others'. Accordingly all industry codes other than 01 to 37 were replaced with a 5-digited code 'YYYYY'. Merging and suppression of identity: To suppress the identity of factories, less frequent industry codes were modified accordingly. Example: if a reported industry code is found as 2930Z, this is to be treated as 'other merged industry code under industry group 2930 (4-digit NIC'98)'. Similarly if the reported industry code is found as 293ZZ, the same as to be treated as 'other merged industry code under industry group 293 (3-digit NIC'98)' and so on.

FIXED ASSETS (Block-C) Columnwise relationship (please refer schedule) may not hold true for data in this block. This is because of the lack of information available from the factory owners. E. EMPLOYMENT AND LABOUR COST (Block-E) It has been found that a larger number of factory owners were unable to provide detailed break-up of information regarding provident fund (Block-E, Col.7). Instead they provide total provident fund as a whole for all employees (Block-E, Srl. No. 7, Col.7). Users are requested to use Srl.9, Col.7 for information on provident fund. The total of srl.6 to 8 for Col.7 may not tally with srl.9, col.7. F. ASICC codes in Block H, I & J Because of the proximity of various item's description, it is possible that same ASICC code may appear against multiple records in these blocks. They should not be treated as duplicates. They are clubbed together at the time of tabulation to provide information at ASICC level. G. Record Identification Key Record identification key for each factory is Despatch Serial No. (DSL, pos: 4-8) X Block code (Blk, pos: 3). Please refer ANNEXURE-I for item level identification key for each factory.

Sampling error estimates

Relative Standard Error (RSE) is calculated in terms of worker, wages to worker and GVA using the formula (Pl ease refer to Estimation Procedure document in external resources). Programs developed in Visual Faxpro are used to compute the RSE of estimates.

Data appraisal

To check for consistency and reliability of data the same are compared with the NIC-2digit level growth rate at all India Index of Production (IIP) and the growth rates obtained from the National Accounts Statistics at current and constant prices for the registered manufacturing sector.

Abstract

The Annual Survey of Industries (ASI) is the principal source of industrial statistics in India. It provides statistical information to assess changes in the growth, composition and structure of organised manufacturing sector comprising activities related to manufacturing processes, repair services, gas and water supply and cold storage. Industrial sector occupies an important position in the State economy and has a pivotal role to play in the rapid and balanced economic development. The Survey is conducted annually under the statutory provisions of the Collection of Statistics Act 1953, and the Rules framed there-under in 1959, except in the State of Jammu & Kashmir where it is conducted under the State Collection of Statistics Act, 1961 and the rules framed there-under in 1964.

Geographic coverage

Coverage of the Annual Survey of Industries extends to the entire Factory Sector, comprising industrial units (called factories) registered under section 2(m)(i) and 2(m)(ii) of the Factories Act.1948, wherein a "Factory", which is the primary statistical unit of enumeration for the ASI is defined as:- "Any premises" including the precincts thereof:- (i) wherein ten or more workers are working or were working on any day of the preceding twelve months, and in any part of which a manufacturing process is being carried on with the aid of power or is ordinarily so carried on, or (ii) wherein twenty or more workers are working or were working on any day of the preceding twelve months, and in any part of which a manufacturing process is being carried on without the aid of power. In addition to section 2(m)(i) & 2(m)(ii) of the Factories Act, 1948, electricity units registered with the Central Electricity Authority and Bidi & Cigar units, registered under the Bidi & Cigar Workers (Conditions of Employment) Act,1966 are also covered in ASI.

Analysis unit

The primary unit of enumeration in the survey is a factory in the case of manufacturing industries, a workshop in the case of repair services, an undertaking or a licensee in the case of electricity, gas & water supply undertakings and an establishment in the case of bidi & cigar industries. The owner of two or more establishments located in the same State and pertaining to the same industry group and belonging to same scheme (census or sample) is, however, permitted to furnish a single consolidated return. Such consolidated returns are common feature in the case of bidi and cigar establishments, electricity and certain public sector undertakings.

Universe

The survey cover factories registered under the Factory Act 1948. Establishments under the control of the Defence Ministry,oil storage and distribution units, restaurants and cafes and technical training institutions not producing anything for sale or exchange were kept outside the coverage of the ASI.

Kind of data

Sample survey data [ssd]

Sampling procedure

The sampling design followed in ASI 1996-97 is a circular systematic one. All the factories in the updated frame (universe) are divided into two sectors, viz., Census and Sample.

a) CENSUS : To keep pace with the enormous growth of the factory sector, definition of the census sector was changed from ASI 1987-88 to the units having 100 or more workers irrespective of their operation with or without power and all electrical undertakings. All industrial units belonging to the 12 less industrially developed states/ UT's viz. Manipur, Meghalaya, Nagaland, Tripura, Sikkim and Andaman & Nicobar Islands etc.
b) The rest of of the universe was covered on sampling basis so as to cover all the units in a span of three years. In any stratum, if the number of units was less than 20, then the entire stratum was enumearted completely along with census factories. In any stratum if no. of unit is between 21 & 60, a minimum sample of size 20 was selected by Circular Systematic Sampling. For all other units a uniform sampling fraction of 1/3 was adopted.

Sampling deviation

There was no deviation from sample design in ASI 1996-97.

Mode of data collection

Face-to-face [f2f]

Research instrument

Annual Survey of Industries Questionnaire (in External Resources) is divided into different blocks:

BLOCK1/2/16 : RECORD TYPE 011 : IDENTIFICATION PARTICULARS (Filled by CSO and Industrial Units) BLOCK 4 : RECORD TYPE 040 : SCHEDULE OF FIXED ASSETS BLOCK 4A : RECORD TYPE 040 : DETAILS OF PLANT AND MACHINERY BLOCK 5 : RECORD TYPE 051-054 : SCHEDULE OF WORKING CAPITAL AND LOANS
BLOCK 6 : RECORD TYPE 074 : WORKING DAYS AND SHIFTS BLOCK 7 : RECORD TYPE 071-74 : EMPLOYMENT BLOCK 8 : RECORD TYPE 081-82 : LABOUR COST (INCLUDING FOR CONTRACT LABOUR) BLOCK 9 : RECORD TYPE 091 : FUELS, ELECTRICITY AND WATER CONSUMED (EXCLUDING INTERMEDIATE PRODUCTS) BLOCK 10 : RECORD TYPE 101 : OTHER EXPENDITURE BLOCK 11 : RECORD TYPE 111 : OTHER OUTPUT/RECEIPTS BLOCK 12 : RECORD TYPE 121 : ELECTRICITY BLOCK 13 : RECORD TYPE 131 : MATERIALS CONSUMED BLOCK 13 A : RECORD TYPE 132 : INPUT ITEMS (indigenous items consumed) BLOCK 13 B : RECORD TYPE 133 : INPUT ITEMS – directly imported items only (consumed) BLOCK 14 : RECORD TYPE 141 : PRODUCTS AND BY-PRODUCTS (manufactured by the unit) BLOCK 14 A : RECORD TYPE 142 : DISTRIBUTIVE EXPENSES

Cleaning operations

Pre-data entry scrutiny was carried out on the schedules for inter and intra block consistency checks. Such editing was mostly manual, although some editing was automatic. But, for major inconsistencies, the schedules were referred back to NSSO (FOD) for clarifications/modifications.

Code list, State code list, NIC 87, NIC 70 and ASICC code are also may be refered in the External Resources which are used for editing and data processing as well..

Sampling error estimates

Relative Standard Error (RSE) is calculated in terms of worker, wages to worker and GVA using the formula. Programs developed in Visual Foxpro are used to compute the RSE of estimates.

Data appraisal

To check for consistency and reliability of data the same are compared with the NIC-2digit level growth rate at all India Index of Production (IIP) and the growth rates obtained from the National Accounts Statistics at current and constant prices for the registered manufacturing sector.

Abstract

Introduction

The Annual Survey of Industries (ASI) is the principal source of industrial statistics in India. It provides statistical information to assess changes in the growth, composition and structure of organised manufacturing sector comprising activities related to manufacturing processes, repair services, gas and water supply and cold storage. The Survey is conducted annually under the statutory provisions of the Collection of Statistics Act 1953, and the Rules framed there-under in 1959, except in the State of Jammu & Kashmir where it is conducted under the State Collection of Statistics Act, 1961 and the rules framed there-under in 1964.

Geographic coverage

The ASI extends its coverage to the entire country upto state level.

Analysis unit

The primary unit of enumeration in the survey is a factory in the case of manufacturing industries, a workshop in the case of repair services, an undertaking or a licensee in the case of electricity, gas & water supply undertakings and an establishment in the case of bidi & cigar industries. The owner of two or more establishments located in the same State and pertaining to the same industry group and belonging to same scheme (census or sample) is, however, permitted to furnish a single consolidated return. Such consolidated returns are common feature in the case of bidi and cigar establishments, electricity and certain public sector undertakings.

Merging of unit level data As per existing policy to merge unit level data at ultimate digit level of NIC'08 (i.e., 5 digit) for the purpose of dissemination, the data have been merged for industries having less than three units within State, District and NIC-08 (5 Digit) with the adjoining industries within district and then to adjoining districts within a state. There may be some NIC-08 (5 Digit) ending with '9' that do not figure in the book of NIC '08. These may be treated as 'Others' under the corresponding 4-digit group. To suppress the identity of factories data fields corresponding to PSL number, Industry code as per Frame (4-digit level of NIC-09) and RO/SRO code have been filled with '9' in each record.

It may please be noted that, tables generated from the merged data may not tally with the published results for few industries, since the merging for published data has been done at aggregate-level to minimise the loss of information.

Universe

The survey cover factories registered under the Factory Act 1948. Establishments under the control of the Defence Ministry,oil storage and distribution units, restaurants and cafes and technical training institutions not producing anything for sale or exchange were kept outside the coverage of the ASI. The geographical coverage of the Annual Survey of Industries, 2008-2009 has been extended to the entire country except the states of Arunachal Pradesh, Mizoram and Sikkim and Union Territory of Lakshadweep.

Kind of data

Sample survey data [ssd]

Sampling procedure

Sampling Procedure

The sampling design followed in ASI 2008-09 is a stratified circular systematic one. All the factories in the updated frame (universe) are divided into two sectors, viz., Census and Sample.

Census Sector: Census Sector is defined as follows:

a) All industrial units belonging to the six less industrially developed states/ UT's viz. Manipur, Meghalaya, Nagaland, Tripura, Sikkim and Andaman & Nicobar Islands.
b) For the rest of the twenty-six states/ UT's., (i) units having 100 or more workers, and (ii) all factories covered under Joint Returns. c) After excluding the Census Sector units as defined above, all units belonging to the strata (State by 4-digit of NIC-04) having less than or equal to 4 units are also considered as Census Sector units.

Remaining units, excluding those of Census Sector, called the sample sector, are arranged in order of their number of workers and samples are then drawn circular systematically considering sampling fraction of 20% within each stratum (State X Sector X 4-digit NIC) for all the states. An even number of units with a minimum of 4 are selected and evenly distributed in two sub-samples. The sectors considered here are Biri, Manufacturing and Electricity.

Sampling deviation

There was no deviation from sample design in ASI 2008-09.

Mode of data collection

Statutory return submitted by factories as well as Face to face

Research instrument

Annual Survey of Industries Questionnaire (in External Resources) is divided into different blocks:

BLOCK A.IDENTIFICATION PARTICULARS BLOCK B. PARTICULARS OF THE FACTORY (TO BE FILLED BY OWNER OF THE FACTORY) BLOCK C: FIXED ASSETS BLOCK D: WORKING CAPITAL & LOANS BLOCK E : EMPLOYMENT AND LABOUR COST BLOCK F : OTHER EXPENSES BLOCK G : OTHER INCOMES BLOCK H: INPUT ITEMS (indigenous items consumed) BLOCK I: INPUT ITEMS – directly imported items only (consumed) BLOCK J: PRODUCTS AND BY-PRODUCTS (manufactured by the unit)

Cleaning operations

Pre-data entry scrutiny was carried out on the schedules for inter and intra block consistency checks. Such editing was mostly manual, although some editing was automatic. But, for major inconsistencies, the schedules were referred back to NSSO (FOD) for clarifications/modifications.

A list of validation checks carried out on data files is given in External Resources "Validation checks, ASI 2008-09". Code list, State code list, Tabulation program and ASICC code are also may be refered in the External Resources which are used for editing and data processing as well..

Response rate

No. of units to be surveyed No. of units responded No. of units non-responded Response rate (in %)

  58300             52376                  5924             89.84

Sampling error estimates

Relative Standard Error (RSE) is calculated in terms of worker, wages to worker and GVA using the formula (Pl ease refer to Estimation Procedure document in external resources). Programs developed in Visual Foxpro are used to compute the RSE of estimates.

Data appraisal

To check for consistency and reliability of data the same are compared with the NIC-2digit level growth rate at all India Index of Production (IIP) and the growth rates obtained from the National Accounts Statistics at current and constant prices for the registered manufacturing sector.

Abstract

The Annual Survey of Industries (ASI) is one of the large-scale sample survey conducted by Field Operation Division of National Sample Survey Office for more than three decades with the objective of collecting comprehensive information related to registered factories on annual basis. ASI is the primary source of data for facilitating systematic study of the structure of industries, analysis of various factors influencing industries in the country and creating a database for formulation of industrial policy.

The main objectives of the Annual Survey of Industries are briefly as follows: (a) Estimation of the contribution of manufacturing industries as a whole and of each unit to national income. (b) Systematic study of the structure of industry as a whole and of each type of industry and each unit. (c) Casual analysis of the various factors influencing industry in the country: and (d) Provision of comprehensive, factual and systematic basis for the formulation of policy.

The Annual Survey of Industries (ASI) is the principal source of industrial statistics in India. It provides statistical information to assess changes in the growth, composition and structure of organised manufacturing sector comprising activities related to manufacturing processes, repair services, gas and water supply and cold storage. The Survey is conducted annually under the statutory provisions of the Collection of Statistics Act 1953, and the Rules framed there-under in 1959, except in the State of Jammu & Kashmir where it is conducted under the State Collection of Statistics Act, 1961 and the rules framed there-under in 1964.

Geographic coverage

The ASI extends its coverage to the entire country upto state level.

Analysis unit

The primary unit of enumeration in the survey is a factory in the case of manufacturing industries, a workshop in the case of repair services, an undertaking or a licensee in the case of electricity, gas & water supply undertakings and an establishment in the case of bidi & cigar industries. The owner of two or more establishments located in the same State and pertaining to the same industry group and belonging to same scheme (census or sample) is, however, permitted to furnish a single consolidated return. Such consolidated returns are common feature in the case of bidi and cigar establishments, electricity and certain public sector undertakings.

Universe

The survey cover factories registered under the Factory Act 1948. Establishments under the control of the Defence Ministry,oil storage and distribution units, restaurants and cafes and technical training institutions not producing anything for sale or exchange were kept outside the coverage of the ASI.

Kind of data

Sample survey data [ssd]

Sampling procedure

Sampling Procedure

The sampling design followed in ASI 2000-01 is a Circular Systematic one. All the factories in the updated frame (universe) are divided into two sectors, viz., Census and Sample.

Census Sector: Census Sector is defined as follows:

a) All the complete enumeration States namely, Manipur, Meghalaya, Nagaland, Tripura and Andaman & Nicobar Islands. b) For the rest of the States/ UT's., (i) units having 100 or more workers, and (ii) all factories covered under Joint Returns.

Rest of the factories found in the frame constituted Sample sector on which sampling was done. Factories under Biri & Cigar sector were not considered uniformly under census sector. Factories under this sector were treated for inclusion in census sector as per definition above (i.e., more than 100 workers and/or joint returns). After identifying Census sector factories, rest of the factories were arranged in ascending order of States, NIC-98 (4 digit), number of workers and district and properly numbered. The Sampling fraction was taken as 12% within each stratum (State X Sector X 4-digit NIC) with a minimum of 8 samples except for the State of Gujarat where 9.5% sampling fraction was used. For the States of Jammu & Kashmir, Himachal Pradesh, Daman & Diu, Dadra & Nagar Haveli, Goa and Pondicherry, a minimum of 4 samples per stratum was selected. For the States of Bihar and Jharkhand, a minimum of 6 samples per stratum was selected. The entire sample was selected in the form of two independent sub-sample using Circular Systematic Sampling method.

Sampling deviation

There was no deviation from sample design in ASI 2000-01

Mode of data collection

Statutory return submitted by factories as well as Face to face

Research instrument

Annual Survey of Industries Questionnaire (in External Resources) is divided into different blocks:

BLOCK A.IDENTIFICATION PARTICULARS BLOCK B. PARTICULARS OF THE FACTORY (TO BE FILLED BY OWNER OF THE FACTORY) BLOCK C: FIXED ASSETS BLOCK D: WORKING CAPITAL & LOANS BLOCK E : EMPLOYMENT AND LABOUR COST BLOCK F : OTHER EXPENSES BLOCK G : OTHER INCOMES BLOCK H: INPUT ITEMS (indigenous items consumed) BLOCK H1: FUELS, ELECTRICITY AND WATER CONSUMPTION BLOCK I: INPUT ITEMS – directly imported items only (consumed) BLOCK J: PRODUCTS AND BY-PRODUCTS (manufactured by the unit)

Cleaning operations

Pre-data entry scrutiny was carried out on the schedules for inter and intra block consistency checks. Such editing was mostly manual, although some editing was automatic. But, for major inconsistencies, the schedules were referred back to NSSO (FOD) for clarifications/modifications.

Validation checks are carried out on data files. Code list, State code list, Tabulation program and ASICC code are may be refered in the External Resources which are used for editing and data processing as well..

B. Tabulation procedure

The tabulation procedure by CSO(ISW) includes both the ASI 2000-01 data and the extracted data from ASI 99-00 for all tabulation purpose. For extracted returns, status of unit (Block A, Item 12) would be in the range 17 to 20. To make results comparable, users are requested to follow the same procedure. For calculation of various parameters, users are requested to refer instruction manual/report. Please note that a separate inflation factor (Multiplier) is available for each unit against records belonging to Block-A for ASI 2000-01 data. The multiplier is calculated for each stratum (i.e. State X NIC'98(4 Digit)) after adjusting for non-response cases.

.

C. Merging of unit level data

As per existing policy to merge unit level data at ultimate digit level of NIC'98 (i.e., 5 digit) for the purpose of dissemination, the data have been merged for industries having less than three units within State, District and NIC'98(5 Digit) with the adjoining industries within district and then to adjoining districts within a state. There may be some NIC'98(5 Digit) ending with '9' which do not figure in the book of NIC '98. These may be treated as 'Others' under the corresponding 4-digit group. To suppress the identity of factories data fields corresponding to PSL number, Industry code as per Frame (4-digit level of NIC-98) and RO/SRO code have been filled with '9' in each record.

It may please be noted that, tables generated from the merged data may not tally with the published results for few industries, since the merging for published data has been done at aggregate-level to minimise loss of information.

Sampling error estimates

Relative Standard Error (RSE) is calculated in terms of worker, wages to worker and GVA using the formula (Pl ease refer to Estimation Procedure document in external resources). Programs developed in Visual Faxpro are used to compute the RSE of estimates.

Data appraisal

To check for consistency and reliability of data the same are compared with the NIC-2digit level growth rate at all India Index of Production (IIP) and the growth rates obtained from the National Accounts Statistics at current and constant prices for the registered manufacturing sector.

Abstract

This research was conducted in Nepal from March 8 to June 15, 2009, as part of the Enterprise Survey initiative.

The objective of the survey is to obtain feedback from enterprises in client countries on the state of the private sector as well as to help in building a panel of enterprise data that will make it possible to track changes in the business environment over time, thus allowing, for example, impact assessments of reforms. Through interviews with firms in the manufacturing and services sectors, the survey assesses the constraints to private sector growth and creates statistically significant business environment indicators that are comparable across countries.

The standard Enterprise Survey topics include firm characteristics, gender participation, access to finance, annual sales, costs of inputs/labor, workforce composition, bribery, licensing, infrastructure, trade, crime, competition, capacity utilization, land and permits, taxation, informality, business-government relations, innovation and technology, and performance measures. Over 90% of the questions objectively ascertain characteristics of a country’s business environment. The remaining questions assess the survey respondents’ opinions on what are the obstacles to firm growth and performance. The mode of data collection is face-to-face interviews.

Geographic coverage

National

Analysis unit

The primary sampling unit of the study is the establishment. An establishment is a physical location where business is carried out and where industrial operations take place or services are provided. A firm may be composed of one or more establishments. For example, a brewery may have several bottling plants and several establishments for distribution. For the purposes of this survey an establishment must make its own financial decisions and have its own financial statements separate from those of the firm. An establishment must also have its own management and control over its payroll.

Universe

The whole population, or the universe, covered in the Enterprise Surveys is the non-agricultural economy. It comprises: all manufacturing sectors according to the ISIC Revision 3.1 group classification (group D), construction sector (group F), services sector (groups G and H), and transport, storage, and communications sector (group I). Note that this population definition excludes the following sectors: financial intermediation (group J), real estate and renting activities (group K, except sub-sector 72, IT, which was added to the population under study), and all public or utilities sectors.

Kind of data

Sample survey data [ssd]

Sampling procedure

The sample for Nepal was selected using stratified random sampling. Three levels of stratification were used in this country: industry, establishment size, and region.

Industry stratification was designed at three levels: the universe was stratified into manufacturing, retail, and other services industries. Other services were further divided into tourism and non-tourism as the World Bank wanted to oversample tourism firms. The initial sample design for the n=480 Enterprise Survey had a target of 180 interviews in manufacturing, 150 retail, 75 other services - tourism, and 75 interviews in other services - non-tourism.

Size stratification was defined following the standardized definition used for the Enterprise Surveys: small (5 to 19 employees), medium (20 to 99 employees), and large (100 or more employees). 360 interviews were targeted for the Enterprise Survey (small, medium, and large firms) with an oversampling of large firms given the high prevalence of micro and small firms in Nepal.

Regional stratification was defined in terms of the geographic regions with the main cities of economic activity in the country. Western Nepal included Butwal, Dhangadhi, Nepalgunj, and Pokhara; Central Nepal included Banepa, Bhaktapur, Bharatpur, Birgunj, Hetauda, Kathmandu, Lalitpur, and Simara; Eastern Nepal included Bhadrapur, Biratnagar, and Itahari.

Initially a sample frame was sought from the Government of Nepal and from appropriate trade associations; but the lists that were obtained were deemed incomplete and potentially out of date. In consultation with the contractor, the World Bank decided to undertake block enumeration, i.e. the contractor would physically create a list of establishments from which to sample from. In total, the contractor enumerated 6,755 establishments for the survey fieldwork.

Detailed information about block enumeration strategy can be can be found in "Description of Nepal Implementation 2009" in "Technical Documents" folder.

Mode of data collection

Face-to-face [f2f]

Research instrument

The current survey instruments are available: - Core Questionnaire + Manufacturing Module [ISIC Rev.3.1: 15-37] in English with Nepali translation - Core Questionnaire + Retail Module [ISIC Rev.3.1: 52] in English with Nepali translation - Core Questionnaire [ISIC Rev.3.1: 45, 50, 51, 55, 60-64, 72] in English with Nepali translation - Screener Questionnaire in English.

The “Core Questionnaire” is the heart of the Enterprise Survey and contains the survey questions asked of all firms across the world. There are also two other survey instruments - the “Core Questionnaire + Manufacturing Module” and the “Core Questionnaire + Retail Module.” The survey is fielded via three instruments in order to not ask questions that are irrelevant to specific types of firms, e.g. a question that relates to production and nonproduction workers should not be asked of a retail firm. In addition to questions that are asked across countries, all surveys are customized and contain country-specific questions. An example of customization would be including tourism-related questions that are asked in certain countries when tourism is an existing or potential sector of economic growth.

The standard Enterprise Survey topics include firm characteristics, gender participation, access to finance, annual sales, costs of inputs/labor, workforce composition, bribery, licensing, infrastructure, trade, crime, competition, capacity utilization, land and permits, taxation, informality, business-government relations, innovation and technology, and performance measures. Over 90% of the questions objectively ascertain characteristics of a country’s business environment. The remaining questions assess the survey respondents’ opinions on what are the obstacles to firm growth and performance.

Cleaning operations

Data entry and quality controls are implemented by the contractor and data is delivered to the World Bank in batches (typically 10%, 50% and 100%). These data deliveries are checked for logical consistency, out of range values, skip patterns, and duplicate entries. Problems are flagged by the World Bank and corrected by the implementing contractor through data checks, callbacks, and revisiting establishments.

Response rate

The overall survey response rate for the Nepal Enterprise survey was 95% (486 completed interviews / 513 attempted interviews). The response rate was very high because eligible firms were keenly aware of the survey project during the block enumeration phase where they were shown the letters of introduction from the World Bank and other stakeholders; hence they were less likely to refuse the actual survey during the fieldwork phase of the project.

The Nepal Enterprise survey response rate was quite high for establishment-level surveys and the contractor did an excellent job at encouraging respondents to respond to sensitive questions (thereby minimizing item non-response). For example the item response rate for variable d2, establishment's total annual sales in the last fiscal year, one of the most sensitive questions, had a 99% item response rate (480/486).

Complete information regarding the sampling methodology, sample frame, weights, response rates, and implementation can be found in "Description of Nepal Implementation 2009" in "Technical Documents" folder.

Abstract

This research of registered businesses with one to four employees was conducted in Nepal from March 8 to June 15, 2009, at the same time with 2009 Nepal Enterprise Survey. Data from 118 establishments was analyzed.

Micro-Enterprise Survey topics include firm characteristics, gender participation, access to finance, annual sales, costs of inputs/labor, workforce composition, bribery, licensing, infrastructure, trade, crime, competition, capacity utilization, land and permits, taxation, informality, business-government relations, innovation and technology, and performance measures. Over 90% of the questions objectively ascertain characteristics of a country's business environment. The remaining questions assess the survey respondents' opinions on what are the obstacles to firm growth and performance.

Geographic coverage

National

Analysis unit

The primary sampling unit of the study is an establishment with one to four employees.

Universe

The whole population, or the universe, covered in the Enterprise Surveys is the non-agricultural economy. It comprises: all manufacturing sectors according to the ISIC Revision 3.1 group classification (group D), construction sector (group F), services sector (groups G and H), and transport, storage, and communications sector (group I). Note that this population definition excludes the following sectors: financial intermediation (group J), real estate and renting activities (group K, except sub-sector 72, IT, which was added to the population under study), and all public or utilities sectors.

Kind of data

Sample survey data [ssd]

Sampling procedure

The sample for Nepal was selected using stratified random sampling. Two levels of stratification were used for the Micro-Enterprise Survey: industry and region.

Industry stratification was designed at three levels: the universe was stratified into manufacturing, retail, and other services industries. Other services were further divided into tourism and non-tourism as the World Bank wanted to oversample tourism firms.

Regional stratification was defined in terms of the geographic regions with the main cities of economic activity in the country. Western Nepal included Butwal, Dhangadhi, Nepalgunj, and Pokhara; Central Nepal included Banepa, Bhaktapur, Bharatpur, Birgunj, Hetauda, Kathmandu, Lalitpur, and Simara; Eastern Nepal included Bhadrapur, Biratnagar, and Itahari.

120 micro establishments were targeted for interviews.

Initially a sample frame was sought from the Government of Nepal and from appropriate trade associations; but the lists that were obtained were deemed incomplete and potentially out of date. In consultation with the contractor, the World Bank decided to undertake block enumeration, i.e. the contractor would physically create a list of establishments from which to sample from. In total, the contractor enumerated 6,755 establishments for the survey fieldwork.

Detailed information about block enumeration strategy can be can be found in "Description of Nepal Implementation 2009" in "Technical Documents" folder.

Mode of data collection

Face-to-face [f2f]

Research instrument

The current survey instruments are available: - Core Questionnaire + Manufacturing Module [ISIC Rev.3.1: 15-37] in English with Nepali translation - Core Questionnaire + Retail Module [ISIC Rev.3.1: 52] in English with Nepali translation - Core Questionnaire [ISIC Rev.3.1: 45, 50, 51, 55, 60-64, 72] in English with Nepali translation - Screener Questionnaire in English

The “Core Questionnaire” is the heart of the Enterprise Survey and contains the survey questions asked of all firms across the world. There are also two other survey instruments - the “Core Questionnaire + Manufacturing Module” and the “Core Questionnaire + Retail Module.” The survey is fielded via three instruments in order to not ask questions that are irrelevant to specific types of firms, e.g. a question that relates to production and nonproduction workers should not be asked of a retail firm. In addition to questions that are asked across countries, all surveys are customized and contain country-specific questions. An example of customization would be including tourism-related questions that are asked in certain countries when tourism is an existing or potential sector of economic growth.

Micro-Enterprise Survey topics include firm characteristics, gender participation, access to finance, annual sales, costs of inputs/labor, workforce composition, bribery, licensing, infrastructure, trade, crime, competition, capacity utilization, land and permits, taxation, informality, business-government relations, innovation and technology, and performance measures. Over 90% of the questions objectively ascertain characteristics of a country’s business environment. The remaining questions assess the survey respondents’ opinions on what are the obstacles to firm growth and performance.

Cleaning operations

Data entry and quality controls are implemented by the contractor and data is delivered to the World Bank in batches (typically 10%, 50% and 100%). These data deliveries are checked for logical consistency, out of range values, skip patterns, and duplicate entries. Problems are flagged by the World Bank and corrected by the implementing contractor through data checks, callbacks, and revisiting establishments.

Response rate

Complete information regarding the sampling methodology, sample frame, weights, response rates, and implementation can be found in "Description of Nepal Implementation 2009" in "Technical Documents" folder.

Abstract

Introduction

The Annual Survey of Industries (ASI) is the principal source of industrial statistics in India. It provides statistical information to assess and evaluate, objectively and realistically, the changes in the growth, composition and structure of organized manufacturing sector comprising activities related to manufacturing processes, repair services, gas and water supply and cold storage. The survey has so far been conducted annually under the statutory provisions of the Collection of Statistics (COS) Act, 1953 and the rules framed there-under in 1959 except in the State of Jammu & Kashmir where it is conducted under the J&K Collection of Statistics Act, 1961 and rules framed there under in 1964. From ASI 2010-11 onwards, the survey is to be conducted annually under the statutory provisions of the Collection of Statistics (COS) Act, 2008 and the rules framed there-under in 2011except in the State of Jammu & Kashmir where it is to be conducted under the J&K Collection of Statistics Act, 1961 and rules framed there under in 1964.

Geographic coverage

The ASI extends its coverage to the entire country upto state level.

Analysis unit

The primary unit of enumeration in the survey is a factory in the case of manufacturing industries, a workshop in the case of repair services, an undertaking or a licensee in the case of electricity, gas & water supply undertakings and an establishment in the case of bidi & cigar industries. The owner of two or more establishments located in the same State and pertaining to the same industry group and belonging to same scheme (census or sample) is, however, permitted to furnish a single consolidated return. Such consolidated returns are common feature in the case of bidi and cigar establishments, electricity and certain public sector undertakings.

Universe

The survey cover factories registered under the Factory Act 1948.

Kind of data

Sample survey data [ssd]

Sampling procedure

The sampling design adopted in ASI has undergone considerable changes from time to time, taking into account the technical and other requirements. The present sampling design has been adopted from ASI 2007-08. All the factories in the updated frame are divided into two sectors, viz., Census and Sample.

For ASI 2007-2008, the Census Sector has been defined as follows:
a) All industrial units belonging to the five less industrially developed states/ UT's viz. Manipur, Meghalaya, Nagaland, Tripura and Andaman & Nicobar Islands.

b) For the rest of the twenty-six states/ UT's., (i) units having 100 or more workers, and (ii) all factories covered under Joint Returns.

c) After excluding the Census Sector units as defined above, all units belonging to the strata (State by 4-digit of NIC-08) having less than or equal to 4 units are also considered as Census Sector units. Sample Sector: From the remaining units excluding those of Census Sector, called the sample sector, samples are drawn circular systematically considering sampling fraction of 20% within each stratum (State X Sector X 4-digit NIC) for all the states. An even number of units with a minimum of 4 are selected and evenly distributed in two sub-samples. The sectors considered here are Biri, Manufacturing and Electricity.

Selection of State Samples: After selecting the central sample in the way mentioned above, the remaining units in the sample sector are treated as residual frame for selection of sample units for the States/UTs. Note that for the purpose of selecting samples from the residual frame for the State/UTs, stratification is done afresh by grouping units belonging to District X 3- digit NIC for each state to form strata. The sample units are then drawn circular systematically from each stratum. The basic purpose of introducing the residual sample was to increase the sample size for the sample sector of the states so as to get more reliable estimates at district level. Validated state-wise unit-level data of the central sample are also sent to the states for pooling this data with their surveyed data to get a combined estimate at the sub-state level.

Sampling deviation

The sampling design adopted in ASI has undergone considerable changes from time to time, taking into account the technical and other requirements. The present sampling design has been adopted from ASI 2007-08. All the factories in the updated frame are divided into two sectors, viz., Census and Sample.

Mode of data collection

Statutory return submitted by factories as well as Face to Face

Research instrument

Annual Survey of Industries Questionnaire is divided into different blocks:

BLOCK A.IDENTIFICATION BLOCK - This block has been designed to collect the descriptive identification of the sample enterprise. The items are mostly self-explanatory.

BLOCK B. TO BE FILLED BY OWNER OF THE FACTORY - This block has been designed to collect the particulars of the sample enterprise. This point onwards, all the facts and figures in this return are to be filled in by owner of the factory.

BLOCK C: FIXED ASSETS - Fixed assets are of a permanent nature having a productive life of more than one year, which is meant for earning revenue directly or indirectly and not for the purpose of sale in ordinary course of business. They include assets used for production, transportation, living or recreational facilities, hospital, school, etc. Intangible fixed assets like goodwill, preliminary expenses including drawing and design etc are excluded for the purpose of ASI. The fixed assets have, at the start of their functions, a definite value, which decreases with wear and tear. The original cost less depreciation indicates that part of value of fixed assets, which has not yet been transferred to the output. This value is called the residual value. The value of a fixed asset, which has completed its theoretical working life should always be recorded as Re.1/-. The revalued value is considered now. But depreciation will be taken on original cost and not on revalued cost.

BLOCK D: WORKING CAPITAL & LOANS - Working capital represents the excess of total current assets over total current liabilities.

BLOCK E : EMPLOYMENT AND LABOUR COST - Particulars in this block should relate to all persons who work in and for the establishment including working proprietors and active business partners and unpaid family workers. However, Directors of incorporated enterprises who are paid solely for their attendance at meeting of the Board of Directors are to be excluded.

BLOCK F : OTHER EXPENSES - This block includes the cost of other inputs as both the industrial and nonindustrial service rendered by others, which are paid by the factory and most of which are reflected in the ex-factory value of its production during the accounting year.

BLOCK G : OTHER INCOMES - In this block, information on other output/receipts is to be reported.

BLOCK H: INPUT ITEMS (indigenous items consumed) - This block covers all those goods (raw materials, components, chemicals, packing material, etc.), which entered into the production process of the factory during the accounting year. Any material used in the production of fixed assets (including construction work) for the factory's own use should also be included. All intermediate products consumed during the year are to be excluded. Intermediate products are those, which are produced by the factory but are, subjected to further manufacture. For example, in a cotton textile mill, yarn is produced from raw cotton and the same yarn is again used for manufacture of cloth. An intermediate product may also be a final product in the same factory. For example, if the yarn produced by the factory is sold as yarn, it becomes a final product and not an intermediate product. If however, a part of the yarn produced by a factory is consumed by it for manufacture of cloth, that part of the yarn so used will be an intermediate product.

BLOCK I: INPUT ITEMS – directly imported items only (consumed) - Information in this block is to be reported for all imported items consumed. The items are to be imported by the factory directly or otherwise. The instructions for filling up of this block are same as those for Block H. All imported goods irrespective of whether they are imported directly by the unit or not, should be recorded in Block I. Moreover, any imported item, irrespective of whether it is a basic item for manufacturing or not, should be recorded in Block I. Hence 'consumable stores' or 'packing items', if imported, should be recorded in Block I and not in Block H.

BLOCK J: PRODUCTS AND BY-PRODUCTS (manufactured by the unit) - In this block information like quantity manufactured, quantity sold, gross sale value, excise duty, sales tax paid and other distributive expenses, per unit net sale value and ex-factory value of output will be furnished by the factory item by item. If the distributive expenses are not available product-wise, the details may be given on the basis of reasonable estimation.

Cleaning operations

Data submitted by the factories undergo manual scrutiny at different stages.

1) They are verified by field staff of NSSO from factory records.

2) Verified returns are manually scrutinized by senior level staff before sending to data processing centre.

3) At the data processing centre these are scrutinized before data entry.

4) The entered data are subjected to computer editing and corrections.

5) Tabulated data are checked for anomalies and consistency with previous results.

Sampling error estimates

Relative Standard Error (RSE) is calculated in terms of worker, wages to worker

Abstract

This research of registered businesses with one to four employees was conducted in Côte d'Ivoire between August 2008 and February 2009 at the same time with 2009 Côte d'Ivoire Enterprise Survey. Data from 92 establishments was analyzed.

Micro-Enterprise Survey topics include firm characteristics, gender participation, access to finance, annual sales, costs of inputs/labor, workforce composition, bribery, licensing, infrastructure, trade, crime, competition, capacity utilization, land and permits, taxation, informality, business-government relations, innovation and technology, and performance measures. Over 90% of the questions objectively ascertain characteristics of a country's business environment. The remaining questions assess the survey respondents' opinions on what are the obstacles to firm growth and performance.

Geographic coverage

National

Analysis unit

The primary sampling unit of the study is an establishment with one to four employees.

Universe

The whole population, or the universe, covered in the Enterprise Surveys is the non-agricultural economy. It comprises: all manufacturing sectors according to the ISIC Revision 3.1 group classification (group D), construction sector (group F), services sector (groups G and H), and transport, storage, and communications sector (group I). Note that this population definition excludes the following sectors: financial intermediation (group J), real estate and renting activities (group K, except sub-sector 72, IT, which was added to the population under study), and all public or utilities sectors.

Kind of data

Sample survey data [ssd]

Sampling procedure

The sample for registered establishments in Côte d'Ivoire was selected using stratified random sampling. Two levels of stratification were used in the Côte d'Ivoire Micro-Enterprise Survey sample: firm sector, and geographic region.

For industry stratification, the universe was divided into three manufacturing industries (food, textiles, and other), one services industry (retail) and one residual sector. The initial sample design for micro businesses targeted 120 establishments: 60 in manufacturing and 60 in services sectors.

Regional stratification was defined in terms of the geographic regions with the largest commercial presence in the country: Abidjan, San Pedro, and Yamoussoukro were the three metropolitan areas selected in Côte d'Ivoire. (Bouake was initially included, but was determined to be too unsafe to conduct survey work and Yamoussoukro was substituted before enumeration began).

Given the stratified design, sample frames containing a complete and updated list of establishments as well as information on all stratification variables (number of employees, industry, and region) are required to draw the sample for the Enterprise Surveys. It was determined that such lists were not available for Ivory Coast, and the sample frame for registered firms was created through block enumeration. The block enumeration exercise was conducted in September 2008 in the three regions selected for the stratified sample. First, detailed maps were obtained from aerial mappings projected to a usable scale for Abidjan, San Pedro, Bouake, and Yamoussoukro. The following multi-stage approach was then followed.

Using the maps each city was divided into "blocks" and using local knowledge the blocks were classified into strata defined by the predominant spatial use of each block. The classifications used for the blocks included industrial, commercial, commercial/residential (mixed), and residential. The accuracy of the classification was then tested by site visits to pilot blocks randomly selected from among all blocks for each of the classification types. Twenty pilot blocks in the selected cities and an additional 10 blocks in Bouake (the city that was dropped from the sample due to safety concerns) were enumerated in the pilot. After the classification system was determined to be accurate, another 304 blocks, stratified by classification type, were selected randomly from the list of blocks. Blocks classified as "residential" were undersampled relative to industrial and commercial blocks.

The selected blocks were then enumerated. In the enumeration process for each block, each separate unit, either a whole building or a floor or suite within a building, was identified and its use was classified. For units classified as business establishments, further details were collected on employee numbers, activity, name of business and manager, and contact phone number.

The quality of the frame was assessed at the onset of the project and was not immune from the typical problems found in establishment surveys: positive rates of non-eligibility, repetition, non-existent units, etc. Given the impact that non-eligible units included in the sample universe may have on the results, adjustments may be needed when computing the appropriate weights for individual observations. The percentage of confirmed non-eligible units as a proportion of the total number of sampled establishments contacted for the survey was 9.4% (102 out of 1,080 establishments for Enterprise Survey and micro samples).

Mode of data collection

Face-to-face [f2f]

Research instrument

The current survey instruments are available: - Africa Enterprise Survey MICRO Module (2008) - Ivory Coast - Screener Questionnaire.

The Micro-Enterprise Survey topics include firm characteristics, gender participation, access to finance, annual sales, costs of inputs/labor, workforce composition, bribery, licensing, infrastructure, trade, crime, competition, capacity utilization, land and permits, taxation, informality, business-government relations, innovation and technology, and performance measures. Over 90% of the questions objectively ascertain characteristics of a country’s business environment. The remaining questions assess the survey respondents’ opinions on what are the obstacles to firm growth and performance.

Cleaning operations

Data entry and quality controls are implemented by the contractor and data is delivered to the World Bank in batches (typically 10%, 50% and 100%). These data deliveries are checked for logical consistency, out of range values, skip patterns, and duplicate entries. Problems are flagged by the World Bank and corrected by the implementing contractor through data checks, callbacks, and revisiting establishments.

Response rate

Complete information regarding the sampling methodology, sample frame, weights, response rates, and implementation can be found in "Description of Côte d'Ivoire Implementation 2009" in "Technical Documents" folder.

Abstract

The research was conducted in Côte d'Ivoire from Oct. 26, 2008, to Feb. 20, 2009, as part of the Enterprise Survey, an initiative of the World Bank.

The objective of the survey is to obtain feedback from enterprises on the state of the private sector as well as to help in building a panel of enterprise data that will make it possible to track changes in the business environment over time, thus allowing, for example, impact assessments of reforms. Through interviews with firms in the manufacturing and services sectors, the survey assesses the constraints to private sector growth and creates statistically significant business environment indicators that are comparable across countries.

The standard Enterprise Survey topics include firm characteristics, gender participation, access to finance, annual sales, costs of inputs/labor, workforce composition, bribery, licensing, infrastructure, trade, crime, competition, capacity utilization, land and permits, taxation, informality, business-government relations, innovation and technology, and performance measures. Over 90% of the questions objectively ascertain characteristics of a country’s business environment. The remaining questions assess the survey respondents’ opinions on what are the obstacles to firm growth and performance.

Geographic coverage

National

Analysis unit

The primary sampling unit of the study is the establishment. An establishment is a physical location where business is carried out and where industrial operations take place or services are provided. A firm may be composed of one or more establishments. For example, a brewery may have several bottling plants and several establishments for distribution. For the purposes of this survey an establishment must make its own financial decisions and have its own financial statements separate from those of the firm. An establishment must also have its own management and control over its payroll.

Universe

The whole population, or the universe, covered in the Enterprise Surveys is the non-agricultural economy. It comprises: all manufacturing sectors according to the ISIC Revision 3.1 group classification (group D), construction sector (group F), services sector (groups G and H), and transport, storage, and communications sector (group I). Note that this population definition excludes the following sectors: financial intermediation (group J), real estate and renting activities (group K, except sub-sector 72, IT, which was added to the population under study), and all public or utilities sectors.

Kind of data

Sample survey data [ssd]

Sampling procedure

The sample for registered establishments in Côte d'Ivoire was selected using stratified random sampling. Three levels of stratification were used in the Côte d'Ivoire sample: firm sector, firm size, and geographic region.

Industry stratification was designed as follows: the universe was stratified into three manufacturing industries (food, textiles, and other), one services industry (retail) and one residual sector as defined in the sampling manual. The initial sample design had a target of 240 interviews in manufacturing and 120 interviews each in the services and residual categories, though this sample design was later adjusted to reflect the low prevalence of manufacturing establishments in Ivory Coast.

Size stratification was defined following the standardized definition used for the Enterprise Surveys: small (5 to 19 employees), medium (20 to 99 employees), and large (more than 99 employees). For stratification purposes, the number of employees was defined on the basis of reported permanent full-time workers.

Regional stratification was defined in terms of the geographic regions with the largest commercial presence in the country: Abidjan, San Pedro, and Yamoussoukro were the three metropolitan areas selected in Côte d'Ivoire. (Bouake was initially included, but was determined to be too unsafe to conduct survey work and Yamoussoukro was substituted before enumeration began).

Given the stratified design, sample frames containing a complete and updated list of establishments as well as information on all stratification variables (number of employees, industry, and region) are required to draw the sample for the Enterprise Surveys. It was determined that such lists were not available for Ivory Coast, and the sample frame for registered firms was created through block enumeration. The block enumeration exercise was conducted in September 2008 in the three regions selected for the stratified sample. First, detailed maps were obtained from aerial mappings projected to a usable scale for Abidjan, San Pedro, Bouake, and Yamoussoukro. The following multi-stage approach was then followed.

Using the maps each city was divided into "blocks" and using local knowledge the blocks were classified into strata defined by the predominant spatial use of each block. The classifications used for the blocks included industrial, commercial, commercial/residential (mixed), and residential. The accuracy of the classification was then tested by site visits to pilot blocks randomly selected from among all blocks for each of the classification types. Twenty pilot blocks in the selected cities and an additional 10 blocks in Bouake (the city that was dropped from the sample due to safety concerns) were enumerated in the pilot. After the classification system was determined to be accurate, another 304 blocks, stratified by classification type, were selected randomly from the list of blocks. Blocks classified as "residential" were undersampled relative to industrial and commercial blocks.

The selected blocks were then enumerated. In the enumeration process for each block, each separate unit-either a whole building or a floor or suite within a building-was identified and its use was classified. For units classified as business establishments, further details were collected on employee numbers, activity, name of business and manager, and contact phone number.

The quality of the frame was assessed at the onset of the project and was not immune from the typical problems found in establishment surveys: positive rates of non-eligibility, repetition, non-existent units, etc. Given the impact that non-eligible units included in the sample universe may have on the results, adjustments may be needed when computing the appropriate weights for individual observations. The percentage of confirmed non-eligible units as a proportion of the total number of sampled establishments contacted for the survey was 9.4% (102 out of 1,080 establishments for the ES and micro samples).

Mode of data collection

Face-to-face [f2f]

Research instrument

The current survey instruments are available: - Core Questionnaire + Manufacturing Module [ISIC Rev.3.1: 15-37] - Core Questionnaire + Retail Module [ISIC Rev.3.1: 52] - Core Questionnaire [ISIC Rev.3.1: 45, 50, 51, 55, 60-64, 72] - Screener Questionnaire.

The “Core Questionnaire” is the heart of the Enterprise Survey and contains the survey questions asked of all firms across the world. There are also two other survey instruments - the “Core Questionnaire + Manufacturing Module” and the “Core Questionnaire + Retail Module.” The survey is fielded via three instruments in order to not ask questions that are irrelevant to specific types of firms, e.g. a question that relates to production and nonproduction workers should not be asked of a retail firm. In addition to questions that are asked across countries, all surveys are customized and contain country-specific questions. An example of customization would be including tourism-related questions that are asked in certain countries when tourism is an existing or potential sector of economic growth.

The standard Enterprise Survey topics include firm characteristics, gender participation, access to finance, annual sales, costs of inputs/labor, workforce composition, bribery, licensing, infrastructure, trade, crime, competition, capacity utilization, land and permits, taxation, informality, business-government relations, innovation and technology, and performance measures. Over 90% of the questions objectively ascertain characteristics of a country’s business environment. The remaining questions assess the survey respondents’ opinions on what are the obstacles to firm growth and performance.

Cleaning operations

Data entry and quality controls are implemented by the contractor and data is delivered to the World Bank in batches (typically 10%, 50% and 100%). These data deliveries are checked for logical consistency, out of range values, skip patterns, and duplicate entries. Problems are flagged by the World Bank and corrected by the implementing contractor through data checks, callbacks, and revisiting establishments.

Response rate

Complete information regarding the sampling methodology, sample frame, weights, response rates, and implementation can be found in "Description of Côte d'Ivoire Implementation 2009" in "Technical Documents" folder.

Abstract

The Annual Survey of Industries (ASI) is the principal source of industrial statistics in India. It provides statistical information to assess changes in the growth, composition and structure of organised manufacturing sector comprising activities related to manufacturing processes, repair services, gas and water supply and cold storage. Industrial sector occupies an important position in the State economy and has a pivotal role to play in the rapid and balanced economic development. The Survey is conducted annually under the statutory provisions of the Collection of Statistics Act 1953, and the Rules framed there-under in 1959, except in the State of Jammu & Kashmir where it is conducted under the State Collection of Statistics Act, 1961 and the rules framed there-under in 1964.

Geographic coverage

The ASI extends its coverage to the entire country upto state level.

Analysis unit

The primary unit of enumeration in the survey is a factory in the case of manufacturing industries, a workshop in the case of repair services, an undertaking or a licensee in the case of electricity, gas & water supply undertakings and an establishment in the case of bidi & cigar industries. The owner of two or more establishments located in the same State and pertaining to the same industry group and belonging to same scheme (census or sample) is, however, permitted to furnish a single consolidated return. Such consolidated returns are common feature in the case of bidi and cigar establishments, electricity and certain public sector undertakings.

Universe

The survey cover factories registered under the Factory Act 1948. Establishments under the control of the Defence Ministry,oil storage and distribution units, restaurants and cafes and technical training institutions not producing anything for sale or exchange were kept outside the coverage of the ASI. The geographical coverage of the Annual Survey of Industries, 2001-2002 has been extended to the entire country except the states of Arunachal Pradesh, Mizoram and Sikkim and Union Territory of Lakshadweep.

Kind of data

Sample survey data [ssd]

Sampling procedure

Sampling Procedure

The sampling design followed in ASI 2001-02 is a Circular Systematic one. All the factories in the updated frame (universe) are divided into two sectors, viz., Census and Sample.

Census Sector: Census Sector is defined as follows:

a) All the complete enumeration States namely, Manipur, Meghalaya, Nagaland, Tripura and Andaman & Nicobar Islands. b) For the rest of the States/ UT's., (i) units having 100 or more workers, and (ii) all factories covered under Joint Returns.

Rest of the factories found in the frame constituted Sample sector on which sampling was done. Factories under Biri & Cigar sector were not considered uniformly under census sector. Factories under this sector were treated for inclusion in census sector as per definition above (i.e., more than 100 workers and/or joint returns). After identifying Census sector factories, rest of the factories were arranged in ascending order of States, NIC-98 (4 digit), number of workers and district and properly numbered. The Sampling fraction was taken as 12% within each stratum (State X Sector X 4-digit NIC) with a minimum of 8 samples except for the State of Gujarat where 9.5% sampling fraction was used. For the States of Jammu & Kashmir, Himachal Pradesh, Daman & Diu, Dadra & Nagar Haveli, Goa and Pondicherry, a minimum of 4 samples per stratum was selected. For the States of Bihar and Jharkhand, a minimum of 6 samples per stratum was selected. The entire sample was selected in the form of two independent sub-sample using Circular Systematic Sampling method.

Sampling deviation

There was no deviation from sample design in ASI 2001-02

Mode of data collection

Statutory return submitted by factories as well as Face to face

Research instrument

Annual Survey of Industries Questionnaire (in External Resources) is divided into different blocks:

BLOCK A.IDENTIFICATION PARTICULARS BLOCK B. PARTICULARS OF THE FACTORY (TO BE FILLED BY OWNER OF THE FACTORY) BLOCK C: FIXED ASSETS BLOCK D: WORKING CAPITAL & LOANS BLOCK E : EMPLOYMENT AND LABOUR COST BLOCK F : OTHER EXPENSES BLOCK G : OTHER INCOMES BLOCK H: INPUT ITEMS (indigenous items consumed) BLOCK I: INPUT ITEMS – directly imported items only (consumed) BLOCK J: PRODUCTS AND BY-PRODUCTS (manufactured by the unit)

Cleaning operations

Pre-data entry scrutiny was carried out on the schedules for inter and intra block consistency checks. Such editing was mostly manual, although some editing was automatic. But, for major inconsistencies, the schedules were referred back to NSSO (FOD) for clarifications/modifications.

Code list, State code list, Tabulation program and ASICC code are available in the External Resources which are used for editing and data processing as well..

Tabulation procedure:

The tabulation procedure by CSO (ISW) includes both the ASI 2001-02 data and the extracted data from ASI 00-01 for all tabulation purpose. For extracted returns, status of unit (Block A, Item 12) would be in the range 17 to 20. To make results comparable, users are requested to follow the same procedure. For calculation of various parameters, users are requested to refer instruction manual/report. Please note that a separate inflation factor (Multiplier) is available for each unit against records belonging to Block-A. The multiplier is calculated for each stratum (i.e. State X NIC'98 (4 Digit)) after adjusting for non-response cases.

Please note that Status of unit code 17-20 extrcted from ASI 2000-01 has been recoded as 99. This may always be included in all processing.

Please note that for all processing Status of unit code to be taken as 1,2 and 17 to 20. Primary Key for Block A, B, F and G is DSL. For all other Blocks C, D, E, H, I and J Primary key is DSL and Item Serial Number.

Merging of unit level data :

As per existing policy to merge unit level data at ultimate digit level of NIC'98 (i.e., 5 digit) for the purpose of dissemination, the data have been merged for industries having less than three units within State, District and NIC'98 (5 Digit) with the adjoining industries within district and then to adjoining districts within a state. There may be some NIC'98 (5 Digit) ending with '9' that do not figure in the book of NIC '98. These may be treated as 'Others' under the corresponding 4-digit group. To suppress the identity of factories data fields corresponding to PSL number, Industry code as per Frame (4-digit level of NIC-98) and RO/SRO code have been filled with '9' in each record. It may please be noted that tables generated from the merged data may not tally with the published results for few industries, since the merging for published data has been done at aggregate-level to minimise loss of information.

Sampling error estimates

Relative Standard Error (RSE) is calculated in terms of worker, wages to worker and GVA using the formula. Programs developed in Visual Foxpro are used to compute the RSE of estimates.

Data appraisal

To check for consistency and reliability of data the same are compared with the NIC-2digit level growth rate at all India Index of Production (IIP) and the growth rates obtained from the National Accounts Statistics at current and constant prices for the registered manufacturing sector.

Abstract

The Annual Survey of Industries (ASI) is the principal source of industrial statistics in India. It provides statistical information to assess changes in the growth, composition and structure of organised manufacturing sector comprising activities related to manufacturing processes, repair services, gas and water supply and cold storage. Industrial sector occupies an important position in the State economy and has a pivotal role to play in the rapid and balanced economic development. The Survey is conducted annually under the statutory provisions of the Collection of Statistics Act 1953, and the Rules framed there-under in 1959, except in the State of Jammu & Kashmir where it is conducted under the State Collection of Statistics Act, 1961 and the rules framed there-under in 1964.

Geographic coverage

Coverage of the Annual Survey of Industries extends to the entire Factory Sector, comprising industrial units (called factories) registered under section 2(m)(i) and 2(m)(ii) of the Factories Act.1948, wherein a "Factory", which is the primary statistical unit of enumeration for the ASI is defined as:-"Any premises" including the precincts thereof:- (i) wherein ten or more workers are working or were working on any day of the preceding twelve months, and in any part of which a manufacturing process is being carried on with the aid of power or is ordinarily so carried on, or (ii) wherein twenty or more workers are working or were working on any day of the preceding twelve months, and in any part of which a manufacturing process is being carried on without the aid of power. In addition to section 2(m)(i) & 2(m)(ii) of the Factories Act, 1948, electricity units registered with the Central Electricity Authority and Bidi & Cigar units, registered under the Bidi & Cigar Workers (Conditions of Employment) Act,1966 are also covered in ASI.

Analysis unit

The primary unit of enumeration in the survey is a factory in the case of manufacturing industries, a workshop in the case of repair services, an undertaking or a licensee in the case of electricity, gas & water supply undertakings and an establishment in the case of bidi & cigar industries. The owner of two or more establishments located in the same State and pertaining to the same industry group and belonging to same scheme (census or sample) is, however, permitted to furnish a single consolidated return. Such consolidated returns are common feature in the case of bidi and cigar establishments, electricity and certain public sector undertakings.

Universe

The survey cover factories registered under the Factory Act 1948. Establishments under the control of the Defence Ministry,oil storage and distribution units, restaurants and cafes and technical training institutions not producing anything for sale or exchange were kept outside the coverage of the ASI.

Kind of data

Sample survey data [ssd]

Sampling procedure

The sampling design followed in ASI 1984-85 is a circular systematic one. All the factories in the updated frame (universe) are divided into two sectors, viz., Census and Sample.

a) CENSUS : To keep pace with the enormous growth of the factory sector, definition of the census sector was changed from ASI 1987-88 to the units having 100 or more workers irrespective of their operation with or without power and all electrical undertakings. All industrial units belonging to the 12 less industrially developed states/ UT's like Goa, Himachal Pradesh, J & K, Chandigarh, Manipur, Meghalaya, Nagaland, Tripura, Daman & diu, Pondicherry Dadra & Nagar Haveli, and Andaman & Nicobar Islands etc.

b) The rest of of the universe was covered on sampling design adopting State X 3 digit industry group as stratum so as to cover all the units in a span of three years. In any stratum, if the number of units was less than 20, then the entire stratum was enumearted completely along with census factories. In any stratum if no. of unit is between 21 & 60, a minimum sample of size 20 was selected by Circular Systematic Sampling. For all other units a uniform sampling fraction of 1/3 was adopted.

*****Multiplier : How to apply the Multiplier :

      (i)  If Scheme Code = 1 then  Multiplier = 1
          If Scheme Code = 2 then  Multiplier = 2

(ii) During Processing/Tabulating apply the multiplier to each characteristics.

Sampling deviation

There was no deviation from sample design in ASI 1984-95

Mode of data collection

Face-to-face [f2f]

Research instrument

Annual Survey of Industries Questionnaire (in External Resources) is divided into different blocks:

BLOCK1/2/16 : RECORD TYPE 011 : IDENTIFICATION PARTICULARS (Filled by CSO and Industrial Units) BLOCK 4 : RECORD TYPE 011 : SCHEDULE OF FIXED ASSETS BLOCK 4A : RECORD TYPE 011 : EMPLOYMENT AND LABOUR COST BLOCK 5 : RECORD TYPE 011 : SCHEDULE OF WORKING CAPITAL AND LOANS
BLOCK 6 : RECORD TYPE 011 : WORKING DAYS AND SHIFTS BLOCK 7 : RECORD TYPE 011 : EMPLOYMENT BLOCK 8 : RECORD TYPE 011 : LABOUR COST (INCLUDING FOR CONTRACT LABOUR) BLOCK 9 : RECORD TYPE 011 : FUELS, ELECTRICITY AND WATER CONSUMED (EXCLUDING INTERMEDIATE PRODUCTS) BLOCK 10 : RECORD TYPE 011 : OTHER EXPENDITURE BLOCK 11 : RECORD TYPE 011 : OTHER OUTPUT/RECEIPTS BLOCK 12 : RECORD TYPE 011 : ELECTRICITY BLOCK 13 : RECORD TYPE 011 : MATERIALS CONSUMED BLOCK 13 A : RECORD TYPE 011 : INPUT ITEMS (indigenous items consumed) BLOCK 13 B : RECORD TYPE 011 : INPUT ITEMS – directly imported items only (consumed) BLOCK 14 : RECORD TYPE 011 : PRODUCTS AND BY-PRODUCTS (manufactured by the unit) BLOCK 14 A : RECORD TYPE 011 : DISTRIBUTIVE EXPENSES

Cleaning operations

Pre-data entry scrutiny was carried out on the schedules for inter and intra block consistency checks. Such editing was mostly manual, although some editing was automatic. But, for major inconsistencies, the schedules were referred back to NSSO (FOD) for clarifications/modifications.

Code list, State code list, Tabulation program and ASICC code are also may be refered in the External Resources which are used for editing and data processing as well..

Sampling error estimates

Relative Standard Error (RSE) is calculated in terms of worker, wages to worker and GVA using the formula. Programs developed in Visual Foxpro are used to compute the RSE of estimates.

Data appraisal

To check for consistency and reliability of data the same are compared with the NIC-2digit level growth rate at all India Index of Production (IIP) and the growth rates obtained from the National Accounts Statistics at current and constant prices for the registered manufacturing sector.

Abstract

Introduction: This is the 64th round of NSS conducted from 1.7.2007 to 30.6.2008 The National Sample Survey (NSS), set up by the Government of India in 1950 to collect socio-economic data employing scientific sampling methods, will start its sixty-fourth round from 1st July 2007. The survey will continue up to 30th June 2008.

Subject Coverage: The 64th round (July 2007-June 2008) of NSS covered the subjects of 'Employment-Unemployment and Migration', 'Participation and expenditure in Education' and 'Household Consumer Expenditure'. NSS 55th round (July 1999 - June 2000) and 49th round (January - June 1993) were the two latest rounds where migration was taken up as one of the subjects. Detailed information on education was collected in NSS 52nd round (July 1995 - June 1996), prior to which such information were collected during the 47th round of NSS (July - December 1991).

Geographical coverage: The survey covered the whole of the Indian Union except (i) Leh (Ladakh) and Kargil districts of Jammu & Kashmir (for central sample), (ii) interior villages of Nagaland situated beyond five kilometres of the bus route and (iii) villages in Andaman and Nicobar Islands which remain inaccessible throughout the year.

Period of survey and work programme: The period of survey is from 1st July 2007 to 30th June 2008. The survey period is divided into four sub-rounds of three months' duration each as follows:

sub-round 1 : July - September 2007
sub-round 2 : October - December 2007 sub-round 3 : January - March 2008
sub-round 4 : April - June 2008

In each of these four sub-rounds equal number of sample villages/ blocks (FSUs) was covered to ensuring uniform spread of sample FSUs over the entire survey period.

Geographic coverage

The survey covered the whole of the Indian Union except (i) Leh (Ladakh) and Kargil districts of Jammu & Kashmir (for central sample), (ii) interior villages of Nagaland situated beyond five kilometres of the bus route and (iii) villages in Andaman and Nicobar Islands which remain inaccessible throughout the year.

Analysis unit

Households and persons

Universe

Households and members of the household

Kind of data

Sample survey data [ssd]

Sampling procedure

Sample Design

Outline of sample design: A stratified multi-stage design has been adopted for the 64th round survey. The first stage units (FSU) will be the 2001 census villages (Panchayat wards in case of Kerala) in the rural sector and Urban Frame Survey (UFS) blocks in the urban sector. However, for the newly declared towns and out growths (OGs) in census 2001 for which UFS has not yet been done, each individual town/ OG will be considered as an FSU. The ultimate stage units (USU) will be households in both the sectors. In case of large FSUs i.e. villages/ towns/ blocks requiring hamlet-group (hg)/ sub-block (sb) formation, one intermediate stage will be the selection of two hgs/ sbs from each FSU.

Sampling Frame for First Stage Units: For the rural sector, the list of 2001 census villages (Panchayat wards for Kerala) will constitute the sampling frame. For the urban sector, the list of latest available Urban Frame Survey (UFS) blocks and for non-UFS towns list of such towns/ OGs will be considered as the sampling frame.

Stratification: Within each district of a State/ UT, generally speaking, two basic strata will be formed: i) rural stratum comprising of all rural areas of the district and (ii) urban stratum comprising of all the urban areas of the district. However, within the urban areas of a district, if there are one or more towns with population 10 lakhs or more as per population census 2001 in a district, each of them will form a separate basic stratum and the remaining urban areas of the district will be considered as another basic stratum. For a few districts, particularly in case of Tamil Nadu, if total number of towns in the district for which UFS is not yet done exceeds certain number, all such towns taken together will form another basic stratum. Otherwise, they will be merged with the UFS towns for stratification.

Sub-stratification:

Rural sector: If 'r' be the sample size allocated for a rural stratum, the number of sub-strata formed will be 'r/4'. The villages within a district as per frame will be first arranged in ascending order of population. Then sub-strata 1 to 'r/4' will be demarcated in such a way that each sub-stratum will comprise a group of villages of the arranged frame and have more or less equal population.

Urban sector: If 'u' be the sample size for a urban stratum, 'u/4' number of sub-strata will be formed. The towns within a district, except those with population 10 lakhs or more and also the non-UFS towns, will be first arranged in ascending order of population. Next, UFS blocks of each town will be arranged by IV unit no. × block no. in ascending order. From this arranged frame of UFS blocks of all the towns, 'u/4' number of sub-strata will be formed in such a way that each sub-stratum will have more or less equal number of FSUs.

For towns with population 10 lakhs or more, the urban blocks will be first arranged by IV unit no. × block no. in ascending order. Then 'u/4' number of sub-strata will be formed in such a way that each sub-stratum will have more or less equal number of blocks.

All non-UFS towns taken together within the district will form one sub-stratum.

Total sample size (FSUs): 12688 FSUs for central sample and 13624 FSUs for state sample have been allocated at all-India level.

Allocation of total sample to States and UTs:
The total number of sample FSUs is allocated to the States and UTs in proportion to population as per census 2001 subject to a minimum sample allocation to each State/ UT. While doing so, the resource availability in terms of number of field investigators has been kept in view.

Allocation of State/ UT level sample to rural and urban sectors: State/ UT level sample is allocated between two sectors in proportion to population as per census 2001 with 1.5 weightage to urban sector subject to the restriction that urban sample size for bigger states like Maharashtra, Tamil Nadu etc. should not exceed the rural sample size. A minimum of 8 FSUs is allocated to each state/ UT separately for rural and urban areas. Further the State level allocation for both rural and urban have been adjusted marginally in a few cases to ensure that each stratum gets a minimum allocation of 4 FSUs.

Allocation to strata: Within each sector of a State/ UT, the respective sample size will be allocated to the different strata in proportion to the stratum population as per census 2001. Allocations at stratum level will be adjusted to a multiple of 4 with a minimum sample size of 4.

Selection of FSUs: From each sub-stratum of a district of rural sector, four FSUs are selected with Probability Proportional to Size With Replacement (PPSWR), size being the population as per census 2001. For urban sector, from each sub-stratum four FSUs are selected by using Simple Random Sampling Without Replacement (SRSWOR) for UFS towns and by PPSWR in case of non-UFS towns with size being the population as per Census 2001. Within each sub-stratum, samples are drawn in the form of two independent sub-samples in both the rural and urban sectors.

Formation and selection of hamlet-groups/ sub-blocks: In case hamlet-groups/ sub-blocks are to be formed in the sample FSU, the same done by more or less equalizing population. It is ensured that the hamlet-groups/ sub-blocks formed are clearly identifiable in terms of physical landmarks.

Two hamlet-groups (hg)/ sub-blocks (sb) are selected from a large FSU wherever hamlet-groups/ sub-blocks have been formed, by SRSWOR. Listing and selection of the households are done independently in the two selected hamlet-groups/ sub-blocks to be described as sample hg/ sb 1 and 2. The FSUs without hg/ sb formation will be treated as sample hg/ sb number 1.

Schedule 25.2 (participation and expenditure in education)

The listed households will be stratified into two SSS as under:

SSS 1: households having any member of age 5 - 29 years enrolled at primary and above level
SSS 2: other households

Mode of data collection

Face-to-face [f2f]

Research instrument

In the present round, Schedule 25.2 on participation and expenditure in education consists of 10 blocks. The first three blocks, viz., Block 0, Block 1 and Block 2 were used for recording identification of sample households and particulars of field operations, as practiced in previous rounds. The last three blocks, viz., Block 8, Block 9 and Block 10 were used to record the remarks of investigator/senior investigator, superintendent/senior superintendent and other supervisory officer respectively. Block 3 was for recording the household characteristics like household size, principal industry, principal occupation, household type, religion, social group, land possessed, details of household expenditure for dependants studying away from home, distance from nearest school having primary/upper primary/secondary level classes and five questions for capturing household consumption expenditure etc. Block 4 was used for recording the demographic and other particulars of all the household members. Particulars of current educational attendance and current enrolment status for household member aged 5-29 years was also collected in Block 4. The education particulars of the household members, aged 5 years to 29 years, who were currently attending educational institutions at primary level and above were recorded in Block 5. In this block, information on course, level, class/grade/year, type of institution,

Geographic coverage

The survey covered the whole of the Indian Union except (i) Leh (Ladakh) and Kargil districts of Jammu & Kashmir, (ii) interior villages of Nagaland situated beyond five kilometres of the bus route and (iii) villages in Andaman and Nicobar Islands which remain inaccessible throughout the year.

Analysis unit

Household, individual

Kind of data

Sample survey data [ssd]

Sampling procedure

Sample Design Outline of sample design: A stratified multi-stage design has been adopted for the 61st round survey. The first stage units (FSU) are the 2001 census villages in the rural sector and Urban Frame Survey (UFS) blocks in the urban sector. The ultimate stage units (USU) are households in both the sectors. In the case of large villages/blocks requiring hamlet-group (hg)/sub-block (sb) formation, one intermediate stage is the selection of two hgs/sbs from each FSU.

Sampling Frame for First Stage Units: For the rural sector, the list of 2001 census villages (panchayat wards for Kerala) constitutes the sampling frame. For the urban sector, the list of latest available Urban Frame Survey (UFS) blocks has been considered as the sampling frame.

Stratification: Within each district of a State/UT, two basic strata have been formed: i) rural stratum comprising of all rural areas of the district and (ii) urban stratum comprising of all the urban areas of the district. However, if there are one or more towns with population 10 lakhs or more as per population census 2001 in a district, each of them will also form a separate basic stratum and the remaining urban areas of the district will be considered as another basic stratum. There are 27 towns with population 10 lakhs or more at all-India level as per census 2001.

Sub-stratification:
Rural sector: If 'r' be the sample size allocated for a rural stratum, the number of sub-strata formed is 'r/2'. The villages within a district as per frame have been first arranged in ascending order of population. Then sub-strata 1 to 'r/2' have been demarcated in such a way that each sub-stratum comprises a group of villages of the arranged frame and has more or less equal population.

Urban sector: If 'u' be the sample size for a urban stratum, 'u/2' number of sub-strata have been formed. The towns within a district, except those with population 10 lakhs or more, have been first arranged in ascending order of population. Next, UFS blocks of each town have been arranged by IV unit no. × block no. in ascending order. From this arranged frame of UFS blocks of all the towns, 'u/2' number of sub-strata has been formed in such a way that each sub-stratum has more or less equal number of UFS blocks.

For towns with population 10 lakhs or more, the urban blocks have been first arranged by IV unit no. × block no. in ascending order. Then 'u/2' number of sub-strata has been formed in such a way that each sub-stratum has more or less equal number of blocks.

Total sample size (FSUs): 12784 FSUs have been allocated at all-India level on the basis of investigator strength in different States/UTs for central sample and 14992 for state sample.

Allocation of total sample to States and UTs: The total number of sample FSUs is allocated to the States and UTs in proportion to population as per census 2001 subject to the availability of investigators ensuring more or less uniform work-load.

Allocation of State/UT level sample to rural and urban sectors: State/UT level sample size is allocated between two sectors in proportion to population as per census 2001 with 1.5 weightage to urban sector subject to the restriction that urban sample size for bigger states like Maharashtra, Tamil Nadu etc. should not exceed the rural sample size. A minimum of 8 FSUs has been allocated to each state/UT separately for rural and urban areas.

Allocation to strata: Within each sector of a State/UT, the respective sample size is allocated to the different strata in proportion to the stratum population as per census 2001. Allocations at stratum level have been adjusted to a multiple of 4 with a minimum sample size of four.

Selection of FSUs: Two FSUs have been selected from each sub-stratum of a district of rural sector with Probability Proportional to Size With Replacement (PPSWR), size being the population as per Population Census 2001. For urban sector, two FSUs have been selected from each sub-stratum by using Simple Random Sampling Without Replacement (SRSWOR). Within each sub-stratum, samples have been drawn in the form of two independent sub-samples in both the rural and urban sectors.

Note: Detail sampling procedure is provided as external resource.

Mode of data collection

Face-to-face [f2f]

Research instrument

Schedule 1.0 - Consumer Expenditure

Block 0- Descriptive identification of sample household: This block is meant for recording descriptive identification particulars of a sample household. Block 1- Identification of sample households Block 2- Particulars of field operations: The identity of the Investigator, the Assistant Superintendent and the Superintendent associated with the work, date of survey/inspection/scrutiny of schedules, date of despatch, etc., have been recorded in this block against the appropriate items in the relevant columns. Block 3- Household characteristics: The characteristics to be recorded in this block are mainly intended to be used to classify the households for tabulation.

Block 4- Demographic and other particulars of household members: All members of the sample household have been listed in this block. Demographic particulars (relation to head, sex, age, marital status and general education) and number of meals taken recorded for each member using one line for one member.

Blocks 5 to 11- Blocks on Consumer Expenditure: Consumption of different broad groups of items recorded in different blocks (5 to 11) according to the appropriate "approach". There have been two different reference periods for data collection in case of certain groups of items and only one reference period for other groups.

• Block 5- Consumption of food, pan, tobacco and intoxicants during the last 30 days: In this block information on consumption of each item of food, pan, tobacco and intoxicants by the household have been collected for a reference period of 30 days preceding the date of survey
• Block 6- Consumption of fuel and light during the last 30 days: In this block, information on consumption of fuel and light collected for the household during the 30 days prior to the date of survey.
• Block 7- Consumption of clothing, bedding, etc.: In this block, information on quantity and value of consumption of all items of clothing collected for two reference periods; last 30 days and last 365 days.
• Block 8- Consumption of footwear: In this block, information on quantity and value of consumption of footwear have been collected for two reference periods; last 30 days and last 365 days.
• Block 9- Expenditure on education and medical (institutional) goods and services: In this block, information on education and institutional medical expenses incurred during the last 30 days and last 365 days have been collected.
• Block 10- Expenditure on miscellaneous goods and services including medical (non-institutional), rents and taxes during the last 30 days: In this block, relating to miscellaneous goods and services, information have been collected on the expenditure for purchase of these items during the reference period.
• Block 11- Expenditure for purchase and construction (including repair and maintenance) of durable goods for domestic use: Information on expenditure incurred for purchase and cost of raw materials and services for construction and repairs of durable goods for domestic use have been collected in this block for both last 30 days and last 365 days.

Block 12- Perception of household regarding sufficiency of food

Block 13- Summary of consumer expenditure Block 14- Remarks by investigator Block 15- Comments by supervisory officer(s)

Geographic coverage

The ASI extends to the entire country except the States of Arunachal Pradesh, Mizoram, and Sikkim and Union Territory of Lakshadweep.

Analysis unit

The primary unit of enumeration in the survey is a factory in the case of manufacturing industries, a workshop in the case of repair services, an undertaking or a licensee in the case of electricity, gas & water supply undertakings and an establishment in the case of bidi & cigar industries. The owner of two or more establishments located in the same State and pertaining to the same industry group and belonging to same scheme (census or sample) is, however, permitted to furnish a single consolidated return. Such consolidated returns are common feature in the case of bidi and cigar establishments, electricity and certain public sector undertakings.

Merging of unit level data

As per existing policy to merge unit level data at ultimate digit level of NIC'08 (i.e., 5 digit) for the purpose of dissemination, the data have been merged for industries having less than three units within State, District and NIC-08 (5 Digit) with the adjoining industries within district and then to adjoining districts within a state. There may be some NIC-08 (5 Digit) ending with '9' that do not figure in the book of NIC '08. These may be treated as 'Others' under the corresponding 4-digit group. To suppress the identity of factories data fields corresponding to PSL number, Industry code as per Frame (4-digit level of NIC-09) and RO/SRO code have been filled with '9' in each record.

It may please be noted that, tables generated from the merged data may not tally with the published results for few industries, since the merging for published data has been done at aggregate-level to minimise the loss of information.

Universe

It covers all factories registered under Sections 2m(i) and 2m(ii) of the Factories Act, 1948 i.e. those factories employing 10 or more workers using power; and those employing 20 or more workers without using power. The survey also covers bidi and cigar manufacturing establishments registered under the Bidi & Cigar Workers (Conditions of Employment) Act, 1966 with coverage as above. All electricity undertakings engaged in generation, transmission and distribution of electricity registered with the Central Electricity Authority (CEA) were covered under ASI irrespective of their employment size. Certain servicing units and activities like water supply, cold storage, repairing of motor vehicles and other consumer durables like watches etc. are covered under the Survey. Though servicing industries like motion picture production, personal services like laundry services, job dyeing, etc. are covered under the Survey but data are not tabulated, as these industries do not fall under the scope of industrial sector defined by the United Nations.

Kind of data

Sample survey data [ssd]

Sampling procedure

Sample Design and Sample Allocation

There has not been any major change in the sampling strategy of ASI 2009-10 from that of ASI 2008-2009. The Census Sector has been defined as follows:

a) All industrial units belonging to the six less industrially developed states/ UT's viz. Manipur, Meghalaya, Nagaland, Sikkim, Tripura and Andaman & Nicobar Islands. b) For the rest of the twenty-six states/ UT's., (i) units having 100 or more workers, and (ii) all factories covered under Joint Returns.

Strata (State by 4-digit of NIC-04) having less than or equal to four units after selecting the Census Sector units as defined above are also selected as census sector.

From the remaining frame, samples were drawn considering a uniform sampling fraction of 19% for the states within a State X 4-digit NIC with a minimum of 4 units evenly distributed in two sub-samples. The size of the live frame containing units with status 'open', 'close' or 'non-operating' was 2, 08, 417. 23,782 of these units belonged to the census sector, while the remaining 1, 84,635 units were from sample sector. Total sample size for ASI 2009-10 was 61,080 (23,782 census and 37,298 sample).

Sampling deviation

There was no deviation from sample design in ASI 2009-10.

Mode of data collection

Statutory return submitted by factories as well as Face to face

Research instrument

Annual Survey of Industries Questionnaire (in External Resources) is divided into different blocks:

BLOCK A.IDENTIFICATION PARTICULARS BLOCK B. PARTICULARS OF THE FACTORY (TO BE FILLED BY OWNER OF THE FACTORY) BLOCK C: FIXED ASSETS BLOCK D: WORKING CAPITAL & LOANS BLOCK E : EMPLOYMENT AND LABOUR COST BLOCK F : OTHER EXPENSES BLOCK G : OTHER INCOMES BLOCK H: INPUT ITEMS (indigenous items consumed) BLOCK I: INPUT ITEMS – directly imported items only (consumed) BLOCK J: PRODUCTS AND BY-PRODUCTS (manufactured by the unit)

Cleaning operations

Pre-data entry scrutiny was carried out on the schedules for inter and intra block consistency checks. Such editing was mostly manual, although some editing was automatic. But, for major inconsistencies, the schedules were referred back to NSSO (FOD) for clarifications/modifications.

Code list, State code list, Tabulation program and ASICC code are available in the External Resources..

Sampling error estimates

Relative Standard Error (RSE) is calculated in terms of worker, wages to worker and GVA using the formula (Pl ease refer to Estimation Procedure document in external resources). Programs developed in Visual Foxpro are used to compute the RSE of estimates.

Data appraisal

To check for consistency and reliability of data the same are compared with the NIC-2digit level growth rate at all India Index of Production (IIP) and the growth rates obtained from the National Accounts Statistics at current and constant prices for the registered manufacturing sector.

Abstract

The National Sample Survey Office (NSSO) conducts regular consumer expenditure surveys as part of its "rounds", each round being normally of a year's duration and covering more than one subject of study. The surveys are conducted through household interviews, using a random sample of households covering practically the entire geographical area of the country. Surveys on consumer expenditure are being conducted quinquennially on a large sample of households from the 27th round (October 1972 - September 1973) onwards. Apart from these quinquennial surveys, the NSSO collected information on consumer expenditure from a smaller sample of households since 42nd round (July 1986 - June 1987). Nowadays every round of NSS includes a consumer expenditure survey (CES), giving rise to an annual series of consumption data. The National Sample Survey (NSS) started its fifty-ninth round from 1st January 2003. Fifty-ninth round of NSS is earmarked for collection of data on land and livestock holdings, debt and investment and situation assessment for Indian farmers, besides that on household consumer expenditure and employment-unemployment. The field operations of the survey commenced on 1st January 2003 and continued up to 31st December 2003. In order to reduce the recall error, the total information relating to each sample household was collected in two visits. The first visit (January to August) broadly covered the Kharif season of the agricultural year 2002 - 2003 and the second (September to December) the corresponding Rabi season. The household consumer expenditure schedule used for the survey collected information on quantity and value of household consumption with a reference period of "last 30 days" for some items of consumption and "last 365 days" for some less frequently purchased items. To minimise recall errors, a very detailed item classification was, as usual, adopted to collect information. The schedule also collected some other household particulars including age, sex and educational level etc. of each household member.

Geographic coverage

The survey covered the whole of the Indian Union except (i) Leh (Ladakh) and Kargil districts of Jammu & Kashmir, (ii) interior villages of Nagaland situated beyond five kilometres of the bus route and (iii) villages in Andaman and Nicobar Islands which remain inaccessible throughout the year.

Analysis unit

Randomly selected households based on sampling procedure and members of the household

Universe

The survey used the interview method of data collection from a sample of randomly selected households and members of the household.

Kind of data

Sample survey data [ssd]

Sampling procedure

Broad Sample Design: A stratified multi-stage design has been adopted for the 59th round survey. The first stage unit (FSU) is the census village in the rural sector and UFS block in the urban sector. The ultimate stage units (USUs) are households in both the sectors. Hamlet-groups / sub-blocks constitute the intermediate stage whenever these are formed in the selected FSU.

Sampling Frame for First Stage Units: For rural areas, the list of villages (panchayat wards for Kerala) as per Population Census 1991 and for urban areas the latest UFS frame have been used as sampling frame. For stratification of towns by size class, provisional population of towns as per Census 2001 have been used.

Stratification:

Rural Sector: Two special strata have been formed at the State/ UT level, viz., Stratum 1: all FSUs with population between 0 to 50 and Stratum 2: FSUs with population more than 15,000.

Special stratum 1 was formed whenever at least 50 such FSUs were found in a State/UT. Similarly, special stratum 2 was formed if at least 4 such FSUs were found in a State/UT. Otherwise, such FSUs were merged with the general strata.

Urban Sector: In the urban sector, strata have been formed within each NSS region on the basis of size class of towns as per Population Census 2001. The stratum numbers and their composition (within each region) are given below.

stratum 1 : all towns with population less than 50,000 stratum 2 : all towns with population 50,000 or more but less than 2 lakhs
stratum 3 : all towns with population 2 lakhs or more but less than 10 lakhs
stratum 4, 5, 6,... : each city with population 10 lakhs or more

The stratum numbers remained as above even if, in some regions, some of the strata did not exist.

Formation of Second Stage Strata and allocation of households for schedule 1.0: Schedule 1.0: Consumer Expenditure Survey: Two SSS are formed:

Rural:
SSS 1: households possessing land < Y
SSS 2: households possessing land = Y

Urban:
SSS 1: households belonging to MPCE classes 1, 2 and 3 SSS 2: households belonging to MPCE class 4

Out of the four households selected for sch. 1.0, two households are covered in visit 1 and two in visit 2. Sample households for each type of schedule are selected by SRSWOR in each SSS of each hg/sb.

Sampling deviation

There was no deviation from the original sampling design.

Mode of data collection

Face-to-face [f2f]

Research instrument

Summary description of the schedule 1.0 on consumer expenditure is given below.

Blocks 0, 1 and 2 - are similar to the ones used in usual NSS rounds. These are used to record identification of sample households and particulars of field operations.

Block-3: Household characteristics like, household size, principal industry-occupation, social group, land possessed and cultivated, type of dwelling etc. are recorded in this block.

Block-4: In this Block the detailed demographic particulars including age, sex, educational level, marital status, number of meals usually taken in a day etc. are recorded.

Block-5: In this block cash purchase and consumption of food, pan, tobacco and intoxicants during the last 30 days are recorded.

Block-5.1: In this block consumption of fuel & light during the last 30 days is recorded.

Block-6: Consumption of clothing, bedding, etc. during the last 365 days is recorded in this block.

Block-7 : Consumption of footwear during the last 365 days is recorded in this block.

Block-8.1 : Expenditure on education and medical (institutional) goods and services during the last 365 days is recorded in Block 9.

Block-8.2 : Expenditure on miscellaneous goods and services including medical (non-institutional), rents and taxes during the last 30 days has been recorded in this block.

Block-9 : Expenditure for purchase and construction (including repair and maintenance) of durable goods for domestic use during the last 365 days has been recorded in this block.

Geographic coverage

The survey covers the whole of the Indian Union except (i) interior villages of Nagaland situated beyond five kilometres of the bus route and (ii) villages in Andaman and Nicobar Islands which remain inaccessible throughout the year.

For Leh (Ladakh) and Kargil districts of Jammu & Kashmir there is no separate sample first-stage units (FSUs) for "central sample". For these two districts, sample FSUs drawn as "state sample" will also be treated as central sample. The state directorate of economics and statistics (DES) will provide a copy of the filled-in schedules to Data Processing Division of NSSO for processing.

Analysis unit

Household, Individual

Kind of data

Sample survey data [ssd]

Sampling procedure

SAMPLE DESIGN

Outline of sample design: A stratified multi-stage design has been adopted for the 66th round survey. The first stage units (FSU) are the 2001 census villages (Panchayat wards in case of Kerala) in the rural sector and Urban Frame Survey (UFS) blocks in the urban sector. In addition, two non-UFS towns of Leh and Kargil of Jammu & Kashmir are also treated as FSUs in the urban sector. The ultimate stage units (USU) are households in both the sectors. In case of large FSUs, one intermediate stage of sampling is the selection of two hamlet-groups (hgs)/ sub-blocks (sbs) from each rural/ urban FSU.

Sampling Frame for First Stage Units: For the rural sector, the list of 2001 census villages (henceforth the term "village" would mean Panchayat wards for Kerala) constitutes the sampling frame. For the urban sector, the list of latest available UFS blocks is considered as the sampling frame. For non-UFS towns, frame consists of the individual towns (only two towns, viz., Leh & Kargil constitute this frame).

Stratification: Within each district of a State/ UT, generally speaking, two basic strata have been formed: i) rural stratum comprising of all rural areas of the district and (ii) urban stratum comprising of all the urban areas of the district. However, within the urban areas of a district, wherever there are one or more towns with population 10 lakhs or more as per population census 2001 in a district, each of them forms a separate basic stratum and the remaining urban areas of the district are considered as another basic stratum.

Sub-stratification: There is no sub-stratification in the urban sector. However, to net adequate number of child workers, for all rural strata, each stratum has been divided into 2 sub-strata as follows: sub-stratum 1: all villages with proportion of child workers (p) >2P (where P is the average proportion of child workers for the sate/ UT as per Census 2001) sub-stratum 2: remaining villages

Total sample size (FSUs): 12784 FSUs for central sample and 15132 FSUs for state sample have been allocated at all-India level. Further, data of 24 state sample FSUs of Leh and Kargil districts of J & K surveyed by DES, J & K will be included in the central sample

Allocation of total sample to States and UTs: The total number of sample FSUs is allocated to the States and UTs in proportion to population as per census 2001 subject to a minimum sample allocation to each State/ UT. While doing so, the resource availability in terms of number of field investigators has been kept in view.

Allocation of State/ UT level sample to rural and urban sectors: State/ UT level sample size is allocated between two sectors in proportion to population as per census 2001 with double weightage to urban sector subject to the restriction that urban sample size for bigger states like Maharashtra, Tamil Nadu etc. should not exceed the rural sample size. A minimum of 16 FSUs (to the extent possible) is allocated to each state/ UT separately for rural and urban areas. Further the State level allocations for both rural and urban have been adjusted marginally in a few cases to ensure that each stratum/ sub-stratum gets a minimum allocation of 4 FSUs.

Allocation to strata/ sub-strata: Within each sector of a State/ UT, the respective sample size is allocated to the different strata/ sub-strata in proportion to the population as per census 2001. Allocations at stratum/ sub-stratum level are adjusted to multiples of 4 with a minimum sample size of 4 and equal number of samples has been allocated among the four sub rounds.

Selection of FSUs: For the rural sector, from each stratum/ sub-stratum, required number of sample villages has been selected by probability proportional to size with replacement (PPSWR), size being the population of the village as per Census 2001. For urban sector, from each stratum FSUs have been selected by using Simple Random Sampling Without Replacement (SRSWOR). Both rural and urban samples have been drawn in the form of two independent sub-samples.

More information on sampling and estimation procedure is available in the document " Note on Sample Design and Estimation Procedure of NSS 66th Round". including information on: - Formation and selection of hamlet-groups/ sub-blocks - Listing of households - Formation of second stage strata and allocation of households - Selection of households - Estimation Procedure

Mode of data collection

Face-to-face [f2f]

Research instrument

During this round, the following schedules of enquiry were canvassed: - Schedule 0.0 : list of households
- Schedule 1.0 : consumer expenditure (Type 1 and Type 2) - Schedule 10 : employment and unemployment

In the present round, Schedule 10 on employment-unemployment consists of 16 blocks.

The first three blocks, viz. Blocks 0, 1 and 2, are used to record identification of sample households and particulars of field operations, as is the common practice in usual NSS rounds. The last two blocks, viz., Blocks 10 and 11 are to record the remarks of investigator and comments by supervisory officer(s), respectively.

Block 3 will be used for recording the household characteristics, like household size, religion, social group, land possessed, land cultivated, etc. For the rural households information will also be collected, in Block 3, on whether the household has NREG job card, whether got work in NREG works during the last 365 days, number of days got work in NREG works and mode of payment of the wages earned in NREG works. Besides, some particulars about holding of specified Post Office accounts and use of specified Postal services will also be collected in this block.

Block 3.1 is for recording particulars of indebtedness of rural labour households.

Block 4 will be used for recording the demographic particulars and attendance in educational institutions of the household members. Particulars of vocational training being received/received by the household members will also be collected in this block.

In Block 5.1, particulars of usual principal activity of all the household members will be recorded along with some particulars of the enterprises in which the usual status workers (excluding those in crop and plantation activities) are engaged. In this block information for all the workers about the location of workplace will also be collected. For the self-employed persons who are working under specifications (wholly or mainly), information will also be collected about "who provided credit/raw materials/equipments", "basis of payment" and "number of outlets of disposal". Information on informal employment will also be collected in Block 5.1. Similarly, the particulars of one subsidiary economic activity of the household members along with some particulars of the enterprises, informal employment and details of the self-employed persons in their subsidiary activity will be recorded in Block 5.2. The daily time disposition for the seven days preceding the date of survey along with the corresponding activity particulars will be recorded for each household member in Block 5.3. Besides this, the current weekly status (CWS) will be derived from the daily time disposition data and will be recorded in this block. As in the past, wage and salary earnings and mode of payment will also be collected for regular salaried/wage employees and for the casual labourers in this block. Block 6 will be used to record the responses to the probing questions to the persons who were unemployed on all the seven days of the reference week.

Blocks 7.1 and 7.2 contain the probing questions which are related to the under-utilisation of labour time and labour mobility, respectively.

For the members of the household classified as engaged in 'domestic duties' as per their usual principal status, some follow-up questions have been framed and listed in Block 8, with a view to collecting some additional information which might explain as to whether their usual attachment to domestic duties was voluntary or involuntary and also to throw light on their participation in some specified activities for family gain.

A worksheet to obtain the total monthly household consumer expenditure has been provided in Block 9.

Abstract

The National Sample Survey Organisation (NSSO) has been carrying out All-India surveys on consumer expenditure. While some of these smaller-scale surveys are spread over a full year and others over six months only, the quinquennial (full-scale) surveys have all been of a full year's duration. Household consumer expenditure is measured as the expenditure incurred by a household on domestic account during a specified period, called reference period. It includes the imputed values of goods and services, which are not purchased but procured otherwise for consumption. In other words, it is the sum total of monetary values of all the items (i.e. goods and services) consumed by the household on domestic account during the reference period. Any expenditure incurred towards the productive enterprises of the households is also excluded from household consumer expenditure. To minimise recall errors, a very detailed item classification is adopted to collect information, including items of food, items of fuel, items of clothing, bedding and footwear, items of educational and medical expenses, items of durable goods and other items. The schedule has also collected some other household particulars including age, sex and educational level etc. of each household member.

Geographic coverage

The survey covered the whole of the Indian Union except (i) Leh (Ladakh) and Kargil districts of Jammu & Kashmir, (ii) interior villages of Nagaland situated beyond five kilometres of the bus route and (iii) villages in Andaman and Nicobar Islands which remain inaccessible throughout the year.

Analysis unit

Randomly selected households based on sampling procedure and members of the household

Universe

The survey used the interview method of data collection from a sample of randomly selected households and members of the household.

Kind of data

Sample survey data [ssd]

Sampling procedure

Sample Design

Outline of sample design: A stratified multi-stage design has been adopted for the 61st round survey. The first stage units (FSU) were the 2001 census villages in the rural sector and Urban Frame Survey (UFS) blocks in the urban sector. The ultimate stage units (USU) were households in both the sectors. In case of large villages/blocks requiring hamlet-group (hg)/sub-block (sb) formation, one intermediate stage was the selection of two hgs/sbs from each FSU.

Sampling Frame for First Stage Units: For the rural sector, the list of 2001 census villages (panchayat wards for Kerala) constituted the sampling frame. For the urban sector, the list of latest available Urban Frame Survey (UFS) blocks were considered as the sampling frame.

Stratification: Within each district of a State/UT, two basic strata were formed: i) rural stratum comprising of all rural areas of the district and (ii) urban stratum comprising of all the urban areas of the district. However, if there are one or more towns with population 10 lakhs or more as per population census 2001 in a district, each of them also formed a separate basic stratum and the remaining urban areas of the district were considered as another basic stratum. There were 27 towns with population 10 lakhs or more at all-India level as per census 2001.

Sub-stratification:

Rural sector: If ‘r’ be the sample size allocated for a rural stratum, the number of sub-strata formed were ‘r/2’. The villages within a district as per frame were first arranged in ascending order of population. Then sub-strata 1 to ‘r/2’ were demarcated in such a way that each sub-stratum comprised a group of villages of the arranged frame and had more or less equal population.

Urban sector: If ‘u’ be the sample size for a urban stratum, ‘u/2’ number of sub-strata were formed. The towns within a district, except those with population 10 lakhs or more, were first arranged in ascending order of population. Next, UFS blocks of each town were arranged by IV unit no. × block no. in ascending order. From this arranged frame of UFS blocks of all the towns, ‘u/2’ number of sub-strata were formed in such a way that each sub-stratum had more or less equal number of UFS blocks.

For towns with population 10 lakhs or more, the urban blocks were first arranged by IV unit no. × block no. in ascending order. Then ‘u/2’ number of sub-strata were formed in such a way that each sub-stratum had more or less equal number of blocks.

Total sample size (FSUs): 12984 FSUs have been allocated at all-India level on the basis of investigator strength in different States/UTs for central sample and 14104 for state sample.

Sampling deviation

There was no deviation from the original sampling design.

Mode of data collection

Face-to-face [f2f]

Research instrument

Schedule 1.0 of the 61st NSS round consists of the following blocks:

Block 0: Descriptive identification of sample household: This block is meant for recording descriptive identification particulars of a sample household.

Block 1: Identification of sample household

Block 2: Particulars of field operation: The identity of the Investigator, Assistant Superintendent and Superintendent associated, date of survey/inspection/scrutiny of schedules, despatch, etc., has been recorded in this block against the appropriate items in the relevant columns.

Block 3: Household characteristics:
Characteristics which are mainly intended to be used to classify the households for tabulation has been recorded in this block.

Block 4: Demographic and other particulars of household members: All members of the sample household have been listed in this block. Demographic particulars (viz., relation to head, sex, age, marital status and general education) and number of meals taken have been recorded for each member using one line for one member.

Block 5: Consumption of food, pan, tobacco and intoxicants during the last 30 days. Information on an item has been recorded only if it is consumed.

Block 6: Consumption of fuel & light during the last 30 days.

Block 7: Consumption of clothing, bedding, etc. during the last 30 days and the last 365 days.

Block 8: Consumption of footwear during the last 30 days and the last 365 days.

Block 9: Expenditure on education and medical (institutional) goods and services during the last 30 days and the last 365 days.

Block 10: Expenditure on miscellaneous goods and services including medical (non-institutional), rents and taxes during the last 30 days.

Block 11: expenditure for purchase and construction (including repair and maintenance) of durable goods for domestic use during last 30 days and last 365 days.

Block 12: Perception of household regarding sufficiency of food

Abstract

The Annual Survey of Industries (ASI) is the principal source of industrial statistics in India. It provides statistical information to assess and evaluate, objectively and realistically, the changes in the growth, composition and structure of organized manufacturing sector comprising activities related to manufacturing processes, repair services, gas and water supply and cold storage. The survey has so far been conducted annually under the statutory provisions of the Collection of Statistics (COS) Act, 1953 and the rules framed there-under in 1959 except in the State of Jammu & Kashmir where it is conducted under the J&K Collection of Statistics Act, 1961 and rules framed there under in 1964. From ASI 2010-11 onwards, the survey is to be conducted annually under the statutory provisions of the Collection of Statistics (COS) Act, 2008 and the rules framed there-under in 2011 except in the State of Jammu & Kashmir where it is to be conducted under the J&K Collection of Statistics Act, 1961 and rules framed there under in 1964.

ASI schedule is the basic tool to collect required data for the factories registered under Sections 2(m)(i) and 2(m)(ii) of the Factories Act, 1948. The schedule for ASI, at present, has two parts. Part-I of ASI schedule, processed at the CSO (IS Wing), Kolkata, aims to collect data on assets and liabilities, employment and labour cost, receipts, expenses, input items: indigenous and imported, products and by-Products, distributive expenses, etc. Part-II of ASI schedule is processed by the Labour Bureau. It aims to collect data on different aspects of labour statistics, namely, working days, man-days worked, absenteeism, labour turnover, man-hours worked etc.

Geographic coverage

The ASI extends its coverage to the entire country upto state level.

Analysis unit

The primary unit of enumeration in the survey is a factory in the case of manufacturing industries, a workshop in the case of repair services, an undertaking or a licensee in the case of electricity, gas & water supply undertakings and an establishment in the case of bidi & cigar industries. The owner of two or more establishments located in the same State and pertaining to the same industry group and belonging to same scheme (census or sample) is, however, permitted to furnish a single consolidated return. Such consolidated returns are common feature in the case of bidi and cigar establishments, electricity and certain public sector undertakings.

Universe

The survey cover factories registered under the Factory Act 1948.

Kind of data

Sample survey data [ssd]

Sampling procedure

The sampling design adopted in ASI has undergone considerable changes from time to time, taking into account the technical and other requirements. The earlier sampling design had been adopted from ASI 2007-08 to ASI 2011-12. From ASI 2012-13, a new sampling design has been adopted following the recommendation of Dr. S. L.Shetty Committee and approved by the SCIS subsequently. According to the new sampling design, all the factories in the updated frame are divided into two sectors, viz., Census and Sample.

Census Sector: Census Sector consists of the following units: a) All industrial units belonging to the six less industrially developed states/ UT's viz.Manipur, Meghalaya, Nagaland, Sikkim, Tripura and Andaman & Nicobar Islands. b) For the rest of the twenty-six states/ UT's., (i) units having 100 or more employees, and (ii) all factories covered under Joint Returns. c) After excluding the Census scheme units, as defined above, all units belonging to the strata (District x 4 digit NIC 2008) having less than or equal to 4 units are also considered under Census Scheme.

Sample Sector Remaining units, excluding those of Census Sector, called the sample sector, are arranged in order of their number of employees and samples are then drawn circular systematically considering sampling fraction, say 20%, within each stratum (District X Sector X 4-digit NIC) in the form of 4 independent subsamples. This will be done for each district and thus, for each State/UT. An even number of units with a minimum of 4 are selected from each stratum and evenly distributed in four subsamples. The sectors considered here are 'Bidi', 'Manufacturing' and 'Electricity'.

Allocation of Samples: All the units belonging to the Census Sector together with selected units of 2 sub-samples, say, of sub-samples 1 and 3 will form the central sample and information for these units will be collected and processed by the Central Agency (i.e., NSSO and CSO(ISW)). After selecting the central sample in the way mentioned above, the units selected for the remaining 2 sub-samples, say, of sub-samples 2 and 4 will be allocated for each State/UT separately. Validated state-wise unit-level data of the central sample will also be sent to the states for pooling this data with their surveyed data to get a combined estimate at the sub-state level

Mode of data collection

Statutory return submitted by factories as well as Face to Face.

Research instrument

Annual Survey of Industries Questionnaire is divided into different blocks:

BLOCK A.IDENTIFICATION BLOCK - This block has been designed to collect the descriptive identification of the sample enterprise. The items are mostly self-explanatory.

BLOCK B. TO BE FILLED BY OWNER OF THE FACTORY - This block has been designed to collect the particulars of the sample enterprise. This point onwards, all the facts and figures in this return are to be filled in by owner of the factory.

BLOCK C: FIXED ASSETS - Fixed assets are of a permanent nature having a productive life of more than one year, which is meant for earning revenue directly or indirectly and not for the purpose of sale in ordinary course of business. They include assets used for production, transportation, living or recreational facilities, hospital, school, etc. Intangible fixed assets like goodwill, preliminary expenses including drawing and design etc are excluded for the purpose of ASI. The fixed assets have, at the start of their functions, a definite value, which decreases with wear and tear. The original cost less depreciation indicates that part of value of fixed assets, which has not yet been transferred to the output. This value is called the residual value. The value of a fixed asset, which has completed its theoretical working life should always be recorded as Re.1/-. The revalued value is considered now. But depreciation will be taken on original cost and not on revalued cost.

BLOCK D: WORKING CAPITAL & LOANS - Working capital represents the excess of total current assets over total current liabilities.

BLOCK E : EMPLOYMENT AND LABOUR COST - Particulars in this block should relate to all persons who work in and for the establishment including working proprietors and active business partners and unpaid family workers. However, Directors of incorporated enterprises who are paid solely for their attendance at meeting of the Board of Directors are to be excluded.

BLOCK F : OTHER EXPENSES - This block includes the cost of other inputs as both the industrial and nonindustrial service rendered by others, which are paid by the factory and most of which are reflected in the ex-factory value of its production during the accounting year.

BLOCK G : OTHER INCOMES - In this block, information on other output/receipts is to be reported.

BLOCK H: INPUT ITEMS (indigenous items consumed) - This block covers all those goods (raw materials, components, chemicals, packing material, etc.), which entered into the production process of the factory during the accounting year. Any material used in the production of fixed assets (including construction work) for the factory's own use should also be included. All intermediate products consumed during the year are to be excluded. Intermediate products are those, which are produced by the factory but are, subjected to further manufacture. For example, in a cotton textile mill, yarn is produced from raw cotton and the same yarn is again used for manufacture of cloth. An intermediate product may also be a final product in the same factory. For example, if the yarn produced by the factory is sold as yarn, it becomes a final product and not an intermediate product. If however, a part of the yarn produced by a factory is consumed by it for manufacture of cloth, that part of the yarn so used will be an intermediate product.

BLOCK I: INPUT ITEMS - directly imported items only (consumed) - Information in this block is to be reported for all imported items consumed. The items are to be imported by the factory directly or otherwise. The instructions for filling up of this block are same as those for Block H. All imported goods irrespective of whether they are imported directly by the unit or not, should be recorded in Block I. Moreover, any imported item, irrespective of whether it is a basic item for manufacturing or not, should be recorded in Block I. Hence 'consumable stores' or 'packing items', if imported, should be recorded in Block I and not in Block H.

BLOCK J: PRODUCTS AND BY-PRODUCTS (manufactured by the unit) - In this block information like quantity manufactured, quantity sold, gross sale value, excise duty, sales tax paid and other distributive expenses, per unit net sale value and ex-factory value of output will be furnished by the factory item by item. If the distributive expenses are not available product-wise, the details may be given on the basis of reasonable estimation.

Cleaning operations

Data submitted by the factories undergo manual scrutiny at different stages.

1) They are verified by field staff of NSSO from factory

Geographic coverage

The survey covered the whole of the Indian Union except (i) Leh (Ladakh) and Kargil districts of Jammu & Kashmir, (ii) interior villages of Nagaland situated beyond five kilometres of the bus route and (iii) villages in Andaman and Nicobar Islands which remain inaccessible throughout the year.

Analysis unit

Household, Individual

Kind of data

Sample survey data [ssd]

Sampling procedure

Sample Design Outline of sample design: A stratified multi-stage design has been adopted for the 60th round survey. The first stage units (FSU) will be the 1991 census villages in the rural sector and Urban Frame Survey (UFS) blocks in the urban sector. The ultimate stage units (USU) will be households in both the sectors. In case of large villages/blocks requiring hamlet-group (hg)/sub-block (sb) formation, one intermediate stage will be the selection of two hgs/sbs from each FSU.

Sampling Frame for First Stage Units: For the rural sector, the list of Census 1991 villages (panchayat wards for Kerala) and Census 1981 villages for J & K will constitute the sampling frame. For the urban sector, the list of latest available Urban Frame Survey (UFS) blocks will be considered as the sampling frame.

Stratification Rural sector: Two special strata will be formed at the State/ UT level, viz.

Stratum 1: all FSUs with population between 0 to 50 and Stratum 2: FSUs with population more than 15,000.

Special stratum 1 will be formed if at least 50 such FSUs are found in a State/UT. Similarly, special stratum 2 will be formed if at least 4 such FSUs are found in a State/UT. Otherwise, such FSUs will be merged with the general strata.

From FSUs other than those covered under special strata 1 and 2, general strata will be formed and its numbering will start from 3. Each district of a State/UT will normally be treated as a separate stratum. However, if the census rural population of the district is greater than or equal to 2.5 million as per population census 2001 or 2 million as per population census 1991, the district will be split into two or more strata, by grouping contiguous tehsils to form strata. However, in Gujarat, some districts are not wholly included in an NSS region. In such cases, the part of the district falling in an NSS region will constitute a separate stratum.

Urban sector: In the urban sector, strata will be formed within each NSS region on the basis of size class of towns as per Population Census 2001. The stratum numbers and their composition (within each region) are given below.

stratum 1: all towns with population less than 50,000 stratum 2: all towns with population 50,000 or more but less than 2 lakhs stratum 3: all towns with population 2 lakhs or more but less than 10 lakhs stratum 4, 5, 6,...: each town with population 10 lakhs or more

The stratum numbers will remain as above even if, in some regions, some of the strata are not formed.

Total sample size (FSUs): 7612 FSUs have been allocated at all-India level on the basis of investigator strength in different States/UTs for central sample and 8260 for state sample.

Allocation of total sample to States and UTs: The total number of sample FSUs is allocated to the States and UTs in proportion to provisional population as per Census 2001 subject to the availability of investigators ensuring more or less uniform work-load.

Allocation of State/UT level sample to rural and urban sectors: State/UT level sample is allocated between two sectors in proportion to provisional population as per Census 2001 with 1.5 weightage to urban sector subject to the restriction that urban sample size for bigger states like Maharashtra, Tamil Nadu etc. should not exceed the rural sample size. Earlier practice of giving double weightage to urban sector has been modified considering the fact that there has been considerable growth in urban population. A minimum of 8 FSUs will be allocated to each state/UT separately for rural and urban areas.

Allocation to strata: Within each sector of a State/UT, the respective sample size will be allocated to the different strata in proportion to the stratum population as per census 2001. Allocations at stratum level will be adjusted to a multiple of 4 with a minimum sample size of 4.

Selection of FSUs: FSUs will be selected with Probability Proportional to Size With Replacement (PPSWR), size being the population as per Population Census 1991 in all the strata for rural sector except for stratum 1. In stratum 1 of rural sector and in all the strata of urban sector, selection will be done using Simple Random Sampling Without Replacement (SRSWOR). Within each stratum, samples will be drawn in the form of two independent sub-samples in both the rural and urban sectors.

Note: Detail sampling procedure is provided as external resource.

Mode of data collection

Face-to-face [f2f]

Research instrument

Schedule 10: Employment and Unemployment

Block 0- Descriptive identification of sample household: This block is meant for recording descriptive identification particulars of the sample household and the sample village/block to which the sample household belongs.

Block 1- Identification of sample household: The identification particulars of the sample household are to be recorded against items 1, 5 to 15.

Block 2- Particulars of field operation: The identity of the Investigator, Assistant Superintendent and Superintendent associated, date of survey/inspection/scrutiny of Schedules, despatch, etc., will be recorded in this block against the appropriate items in the relevant columns.

Block 3- Household characteristics: Certain household characteristics, such as, household size, household type, religion, social-group, household industry, household occupation, monthly household consumer expenditure, land possessed as on the date of survey (code) etc., will be recorded in this block.

Block 4- Demographic and usual activity particulars of household members: This block is meant to record the demographic particulars like sex, age, marital status, educational level etc. and usual principal activity and usual subsidiary activity particulars of all the household members.

Block 5- Time disposition of members during the week: This block is meant for recording the time disposition for all the 7 days preceding the date of survey, the current weekly status based on the 7 days time disposition, wage and salary earnings during the week, etc.

Block 6- Follow-up questions for persons unemployed on all the seven days of the week: This block is meant for collecting information on persons who are found to be unemployed on all the seven days of the week preceding the date of survey.

Block 7- Particulars of vocational training received by household members: Particulars of formal vocational training received will be collected in respect of all the household members who are in the age group 15-29 with minimum general education level middle and above but below graduate (i.e with codes 05 to 08 in column 7, block 4) and for those who are graduate in vocational courses within the age group 15-29.

Block 8- Household consumer expenditure: This block is meant for collecting household consumer expenditure information which is the sum total of monetary values of all goods and services consumed (out of purchase or procured otherwise) by the household on domestic account during a specific reference period.

Block 9- Remarks by investigator: Any remark which is considered necessary for explaining any peculiarity in the consumption pattern of the household or any other item-specific unusual feature of the household or of any member thereof will be noted here.

Block 10- Comments by supervisory officer(s): The supervisory officers should note their views on any aspect pertaining to the characteristics under enquiry in this schedule relating to the household or any member thereof.