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ECONOMIC STATISTICS PROGRAMME IN INDIA by S.K.Nath, INDIA. MAIN PROGRAMMES ON ECONOMIC STATISTICS. Annual Surveys of Industries (ASI) Economic Census Country-wide Large Scale Sample Surveys Census of Registered Small Scale Industries. CHALLENGES. - PowerPoint PPT Presentation




    S.K.Nath, INDIA

  • MAIN PROGRAMMES ON ECONOMIC STATISTICSAnnual Surveys of Industries (ASI) Economic Census Country-wide Large Scale Sample Surveys Census of Registered Small Scale Industries

  • CHALLENGESUnder Economic Statistics there is no Statistical Act for data collection, except for ASIThere are more than 42 million establishments / enterprises in the country. This excludes activities relating to crop plantation and productionThere are more than 211 million householdsThere are 17 National LanguagesData are collected through physical visitsSchedules require interview for 2 hours

  • Annual Survey of Industries (Manufacturing/Repair Sector)

  • General InformationData Collected under Collection of Statistics Act, 1953ASI extends to the entire country except three States and one Union Territory National Industrial Classification (based on ISIC ) is followed.ASICC (ASI Commodity Classification) is followed for input-output data collectionList frame followed for ASIMicro data available on public domain

  • ObjectiveEstimation of the contribution of manufacturing industries as a whole and of different industry groups to national incomeSystematic study of the structure of industry as a whole and of each type of industryAnalysis of various factors influencing industry in the country and Providing a comprehensive, factual and systematic basis for formulation of policies.

  • Industries CoveredFactories and industrial units registered under Sections 2m (i) & (ii) of the Factories Act, 1948 employing 10 or more workers using power or employing 20 or more workers without power

    Bidi and cigar manufacturing establishments registered under the Bidi and Cigar Workers (Conditions of Employment) Act, 1966 and employing 10 or more workers using power or employing 20 or more workersList frame is maintained and updated annually

  • Unit of EnumerationThe primary unit of enumeration in the survey is:a factory in the case of manufacturing industriesan establishment in the case of bidi and cigar industriesa workshop in the case of repair services andan undertaking or a licensee in the case of electricity, gas and water supply undertakings

  • Sampling DesignFrame of units for each Industry Group at 4 digit level of National Industrial Classification (NIC) is stratified by States at first stage and put in descending order of number of workers;Units with 100 or more workers are separated as census sector units; All units are selected if number of units within each group is less than six;If stratum size is = 6, 20% sample is selected subject to a minimum of 6, with half in each of the 2 sub-samples;

  • Data Collection StrategyList frameAs per law, Annual General Meeting of a company should be held by September Data collected from such Administrative documents by regular enumerators located though out the countryJoint return is received from some enterprisesManagement units are contacted when local units do not have balance sheets

  • INFORMATION COLLECTEDType of Organisation /OwnershipAssets and LiabilitiesEmployment and Labour CostReceiptsExpensesInput items (Indigenous)Input Items ( Imported)Products and by-productsDistributive ExpensesElectricity generated / purchased /consumed / soldExports (*)Pollution Control Degree / P & M for abatement (*)


  • Challenges for Data CollectionIndian economic census is the largest enumeration exercise in terms of Technological intricacies Volume of workInvolvement of huge manpowerImparting training to large number of field personnelMonitoring and coordination of pre-census, census period and post census operations

  • Scope and coverageAl the States/UTs All economic activities except those involved in crop production and plantation

    New features of last Economic Census-2005 Canvassing of a separate Address Slip Use of Intelligent Character Recognition (ICR) technology for scanning and data processing

  • Schedules

    (i) House List,(ii) Enterprise/Establishment Schedule (iii) Abstracts- for Rural and Urban(iv)Address Slip


  • HOUSE LISTHouse List : To list all the households and identify the enterprises in these households or any member has enterprise outside the household without fixed location.

    Enterprise Schedule : Detailed information on various characteristics relating to the enterprises viz. number of workers, social group of owner, registration code etc., for all the enterprises listed in the HL form is to be collected here.

    NOTE: House listing and filling up Enterprise schedule done simultaneously.

  • House List

  • RURAL - ID


  • Data Collection Strategy: RURALIn Rural areas, all the census villages within the geographical boundary of the country will be covered

    One enumerator is allotted the work of 1 to 3 Enumeration Blocks consisting of about 200-230 households. In hilly/terrain areas EB consists of 120 to 150 households

  • Data Collection Strategy: URBANIn Urban areas, all the cities/towns within the geographical boundary of the country will be covered with the help of Urban Frame Survey (UFS) Blocks prepared by NSSO of the Ministry of Statistics & PI.

    For identification of UFS blocks, the following materials was made available to all enumerators: maps for each Investigator unit (IV unit) boundary details of each block within an investigator unit

  • Establishment/Enterprise Schedule

  • Information Collected Location- fixed / mobile within hh or outsideNumber of workers ( hired / non-hired) according to sexEconomic Activities confirming to ISIC-4 digitSocial group of owner, Registration code Major activity and Subsidiary activityOwnership of enterpriseSources of outstanding loans

  • ABSTRACT FOR QUICK DATA RELEASE Abstract : To be filled for each enumeration unit by the enumerator by transferring entries from Total row of the ABSTRACT form.

  • POST ENUMERATION CHECKSIn order to assess the quality of data collected, post enumeration checks was conducted by in all the States/UTs after completion of the fieldwork of the Economic Census,2005Two villages and two urban blocks were selected at random from each of about 600 districts throughout the countryPEC was done by trained investigators of the Ministry of Statistics & PI (NSSO) who was not involved in the fieldwork of the census

  • DATA PROCESSINGIntelligence Character Recognition (ICR) technology or Automated Forms Processing is used for processing the dataThe technology enables the user to process documents from their images of the filled-in schedules and convert them into databaseThis permits permanent storage of copy of the original schedules in electronic form.

  • ServerController stationTiling & Completion stationsExport stationScanning stationRecognition stationsException stationsLAN SETUP - DATA CENTREsForms are fed thru SCANNER(S) batch by batch Field by field character images are automatically RECOGNISED Tile/Correction station - Un-recognised Characters are corrected by OPERATORSSupervisors Handle Exceptional cases referred by Operators Supervisor Export completed batches as ASCII file for further processing Supervisor Monitor the workflow & Balance the load at different stages of operationForm IMAGES stored in Network DISK



  • COMPLETION STATION [Field mode ]Form Image Houselist Enterprise Schedule Enterprise Abstract Extracted data


  • Basic InformationLarge scale Socio-economic sample surveys are conducted by National Sample Survey Organisation (NSSO) on regular basis. Have 5000 regular staffTopic of Surveys: Consumer Expenditure/ Labour Force on regular basis, other subjects are taken up according to 5/10 year cycle or on priority basis Coverage: Entire countrySurvey round: One year for Economic Surveys: Jul-JunFrame: Area Frame based on Economic Census used for Enterprise Surveys

  • Sampling DesignData Collection StrategyTwo Stage Stratified Sampling FSUs are Villages / Urban blocksListing of HHS or Establishments done for each selected FSUs and further stratified according to sampling strategy varies from survey to surveySSUs ( HHs / Establishments) are chosen based on Circular Systematic Sampling.Each investigator visits the selected SSUs and fills up paper schedule running into 8-10 pagesDepending on surveys, multiple activity-wise data are collected

  • INFORMATION COLLECTEDType of Organisation /OwnershipAssets and LiabilitiesEmployment and Labour CostReceiptsExpensesInput items Products and by-productsDistributive Expenses

  • Recent Surveys taken upR63- Jul 06-Jun 07: Service Sector (excl-Trade)R62- Jul05-Jun 06: Unorganised ManufacturingR57-Jul 01-Jun 02: Unorganised Services (excl- Trade & Finance)R56-Jul 00-Jun01: Unorganised ManufacturingR55-Jul 99-Jun 00: Informal Sector Enterprise (excluding Agriculture) X Aug98-Jun 99: Special Enterprise SurveyR53-Jul 97-Dec 96 : Trading (NDTE, OATE)R51-Jul 94-Jun95 : Unorganised Manufacturing


  • Definition of SSI Sector Consists of SSI and SSSBESSI Small Scale Industrial undertakings having investment in fixed Assets in Plant and Machinery, whether held on ownership terms or on lease or by hire-purchase does not exceed Rs. 10 million ( ~ $ 2,487,562)SSSBE Small Scale Service and Business (industry related) with investment in fixed assets, excluding land and building, upto Rs. 1 million.Registration: Not Compulsory

  • Survey DesignCoverage: Entire CountryCensus of all registered units ( about 2.3 million)Sample Survey of 19278 villages / urban blocks to net unregistered sectorDesign: Two stage Sampling based on EC frame, FSUs having more than 200 units chosen with prob=1 and rest based on PPS.At SSU 20 units for FSU selected with prob=1 and 10 units from rest FSUs. Method: Mostly Interview

  • INFORMATION COLLECTED Type of Organisation /OwnershipManagement by sexAssets and Net-worthPlant Machinery-original valueEmploymentGross outputDescription of Products and by-productsExports Seasonality in operationUse of computerReasons for sickness, if any