1 / 26

CENSUS DATA ANALYSIS TOOLS, AREAS, ISSUES & NEEDS

CENSUS DATA ANALYSIS TOOLS, AREAS, ISSUES & NEEDS. Neena Sharma, IAS Director of Census Operations, Uttar Pradesh Office of the Registrar General & Census Commissioner, India. Stages in Census Operations-2011. DATA COLLECTION. Census of India 2011-Data Collection.

meira
Télécharger la présentation

CENSUS DATA ANALYSIS TOOLS, AREAS, ISSUES & NEEDS

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. CENSUS DATA ANALYSIS TOOLS, AREAS, ISSUES & NEEDS Neena Sharma, IAS Director of Census Operations, Uttar Pradesh Office of the Registrar General & Census Commissioner, India

  2. Stages in Census Operations-2011

  3. DATA COLLECTION

  4. Census of India 2011-Data Collection • Census 2011 is the 15th Census of India since 1872 • Census 2011 was held in two phases: • Houselisting & Housing Census (April to September 2010) • Population Enumeration (9th to 28th February 2011) • Reference Date: 0:00 Hours of 1st March 2011 • In Snow Bound areas the Population Enumeration was conducted from 11th to 30th September 2010 • Reference Date: 0:00 Hours of 1st October 2010

  5. Yes. We have been counted !!!!!!

  6. DATA PROCESSING

  7. Capturing Information and Processing huge volume of Census Data • Indian Census - Always been in the forefront of using latest technology • 1961 Census – Unit Record machines used • 1971 Census – Key-punching (electrical cum mechanical) machines used – An IBM 1401 computer with IBM card Reader used • 1981 Census – Data Entry made using Key to Disk machines. Processing by HP 1000 CD-Cyber 730 & NEC - 1000 Computer System at NIC

  8. Capturing Information and Processing huge volume of Census Data • 1991 Census - Medha 930 Main Frame Computer System used for Data processing. Unix based dumb terminals used for data entry • 2001 Census – First large country to use image based Automatic Form Processing Technology, High Speed Duplex Scanners used for image capturing • 2011 Census – Using more developed ICR Technology with advanced features.

  9. Census Data Processing-17 locations ASCII FILE Export/Archival Exception Completion Tiling Recognition Scanning Prepare Batch

  10. Tile • The unique TILE module optimize data accuracy with a systemized display of characters grouped together to allow easy identification • Possible to identify which characters are correct and which are not and allows to mark as reject. • Makes the completion more accurate

  11. IMAGE BASED FORMSPROCESSING TILING STATION

  12. DATA ANALYSIS

  13. Data Analysis • Provisional Population Totals for India and States compiled from Enumerator’s Abstract manually declared within about four weeks • Population, 0-6 population, No. of literates • Filled-in Schedules are collected, scanned and processed in two phases – Houselisting & Housing Census and Population Enumeration • Extensive quality check and data validation undertaken • CSPro software used for tabulation • More than 300 tables to be published on Census 2011 at National, State, District levels including Primary Census Abstracts

  14. Administrative Units in India Country State District Sub-district C D Block Panchayat Village Town Village Ward

  15. Number of Administrative Units in India

  16. Census - Not merely a head count Biggest source of comprehensive data with information on • Literacy & Educational Status • Economic activity • Migration & Urbanization • Fertility & Mortality • Disability • Housing • Availability of amenities. • Population • Age • Marital Status • Scheduled Castes • Scheduled Tribes • Mother Tongue & Language • Religion • Village Directory and Town Directory

  17. Issues in Data Analysis • Census creates two separate databases • Houselisting & Housing Census Data (at Household level) (April to September 2010) • Population Enumeration Data (at individual member of the Household level) (February 2011) • In Census 2011, attempt is being made to link these two databases to cross-tabulate information (an issue in the past to be tested now) • Possible to tabulate cross tabs on Condition of Housing with Economic Condition, etc

  18. To use Abridged Houselist

  19. Issues in Data Analysis • Boundary of the Enumeration Areas (EA) kept unchanged during the two phases of operation • Provision made in the Household Questionnaire (Phase 2 Operation) to record the Household Number marked in the Phase 1 Operation • The EA and HH Numbers to serve as link fields in the two databases

  20. Issues in Data Analysis • Generating time series tables from the previous censuses • As boundary of Enumeration Areas (EAs) are not permanent – it is not possible to link the EA from one census to the next • EAs are carved out on the basis of population size and therefore if the population changes the number of EAs carved out also varies • Consequently, every Census has generated stand-alone databases

  21. Issues in Data Analysis • New districts, sub-districts, towns and villages have been created and has impeded time series analysis • Number of these administrative units have changes significantly over the last three Censuses • An attempt is underway to link the databases available since 1991 Census on jurisdictional changes up to Town and Village levels.

  22. Issues in Data Analysis • In Census 2001, 1%/5% micro-data files on housing census released • India and States (1% data) • States and Districts (5% for large states and 10% for smaller states) • Sample micro-data files from census on population enumeration not released in public domain • Planning to make available micro-data files for research in institutions/universities through work-stations

  23. Needs Linking of files pilot-tested Enhancing capacity of staff members in data processing and analysis unit in SPSS, SAS etc. at national and state levels Organizing jurisdictional changes (redistricting) for trend analysis

  24. Needs • Developing architecture for data warehousing and mining to enable trend and in-depth analysis • Feasibility study to be undertaken • Supportin setting up work-stations for research in micro-data (anonymized) - good practices from other countries

  25. Thank you

More Related