100+ datasets found
  1. 2012 Economic Census - Economic Census Exported Services Data

    • catalog.data.gov
    Updated Jul 19, 2023
    + more versions
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    U.S. Census Bureau (2023). 2012 Economic Census - Economic Census Exported Services Data [Dataset]. https://catalog.data.gov/dataset/2012-economic-census-economic-census-exported-services-data
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    Dataset updated
    Jul 19, 2023
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Description

    The Economic Census is the U.S. Government's official five-year measure of American business and the economy. It is conducted by the U.S. Census Bureau, and response is required by law. In October through December of the census year, forms are sent out to nearly 4 million businesses, including large, medium and small companies representing all U.S. locations and industries. Respondents were asked to provide a range of operational and performance data for their companies.This dataset presents data for exported services for selected industries.

  2. i

    Population Census 2012 - Zimbabwe

    • catalog.ihsn.org
    • dev.ihsn.org
    • +1more
    Updated Mar 29, 2019
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    Zimbabwe National Statistics Agency (2019). Population Census 2012 - Zimbabwe [Dataset]. https://catalog.ihsn.org/index.php/catalog/2986
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    Dataset updated
    Mar 29, 2019
    Dataset authored and provided by
    Zimbabwe National Statistics Agencyhttp://www.zimstat.co.zw/
    Time period covered
    2012
    Area covered
    Zimbabwe
    Description

    Abstract

    The main objectives of a census are: - to provide current information on demographic and related socio-economic characteristics of the population at national and sub-national levels. Such information facilitates effective planning and evaluation of development programmes; - to provide and maintain a time series of demographic data at national and sub-national levels. These data enhance appraisal of the past, assessment of the present and estimation of future trends; - to develop the national capabilities to produce, coordinate and disseminate relevant, accurate and timely statistics to meet the information needs of various users; - to improve the capability to advise other users and producers of statistics; and - to develop and maintain an efficient sampling frame for surveys.

    Geographic coverage

    The geographical frame for the 2012 Census followed the spatially defined structure of provinces, administrative districts and wards. In an effort to ensure that the whole country was covered during the enumeration period, the whole country was demarcated into small areas known as enumeration areas (EAs). Each one of these EAs was covered by one enumerator. The identified boundaries of the EAs were such that they did not cut across existing provincial, district, or ward boundaries.

    There were also special population categories which, by definition, did not belong to any defined area, or for some reason, required special arrangements in order to be enumerated. The special population categories included among others, the homeless, vagrants, persons who were travelling on trains or buses on the census night, persons in camping sites, prisons, hotels and in other unstable population situations.

    Universe

    A population census can be taken either on a de facto or de jure basis. The latter involves enumerating people at their place of usual residence. The 2012 census however, was conducted on a de facto basis, relating to the night of the17th of August. This means that all those people who spent the night of the 17th /18th of August in Zimbabwe were counted, irrespective of their citizenship, nationality or residence status. Consequently, Zimbabweans who were out of the country on t

    It should be noted that the main objects of the enumeration are i) the individual and ii) the household. A household, as defined for the 2012 Population census, is a person or group of persons who stayed the census night i.e. Friday night of the 17-18th of August, 2012, together in a dwelling unit, whether or not they were related by blood or marriage. he census night were not counted.

    Kind of data

    Census/enumeration data [cen]

    Mode of data collection

    Face-to-face [f2f]

    Research instrument

    Census information was collected using a pre-coded questionnaire (see copy in Appendix 1a). The questionnaire was made up of the following sections: A. Identification of enumeration area and household B. Socio-economic and demographic characteristics of household members. Disability was included here. C. School attendance and level of education attained by all household members age 3 years and above. Current attendance for those age 3 - 24 years. D. Labour force characteristics for those age 10 years and above E. Fertility questions for women age 15-49 years F. Living conditions G. Deaths in the household in the past 12 months H. Total number of people in the household by sex

    A simplified version of the questionnaire was used for some special population categories, e.g. the vagrants and those in prison.

  3. o

    US Economic Census 2012

    • userclub.opendatasoft.com
    csv, excel, json
    Updated Jun 30, 2025
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    (2025). US Economic Census 2012 [Dataset]. https://userclub.opendatasoft.com/explore/dataset/economic-census-2012/
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    excel, csv, jsonAvailable download formats
    Dataset updated
    Jun 30, 2025
    License

    Open Database License (ODbL) v1.0https://www.opendatacommons.org/licenses/odbl/1.0/
    License information was derived automatically

    Description

    Dataset built using the US Census Bureau data API.Calculation methodology for the annual payroll field.

  4. Census Data - Selected socioeconomic indicators in Chicago, 2008 – 2012

    • data.cityofchicago.org
    • healthdata.gov
    • +2more
    application/rdfxml +5
    Updated Sep 12, 2014
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    U.S. Census Bureau (2014). Census Data - Selected socioeconomic indicators in Chicago, 2008 – 2012 [Dataset]. https://data.cityofchicago.org/Health-Human-Services/Census-Data-Selected-socioeconomic-indicators-in-C/kn9c-c2s2
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    csv, json, application/rssxml, tsv, xml, application/rdfxmlAvailable download formats
    Dataset updated
    Sep 12, 2014
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    U.S. Census Bureau
    Area covered
    Chicago
    Description

    This dataset contains a selection of six socioeconomic indicators of public health significance and a “hardship index,” by Chicago community area, for the years 2008 – 2012. The indicators are the percent of occupied housing units with more than one person per room (i.e., crowded housing); the percent of households living below the federal poverty level; the percent of persons in the labor force over the age of 16 years that are unemployed; the percent of persons over the age of 25 years without a high school diploma; the percent of the population under 18 or over 64 years of age (i.e., dependency); and per capita income. Indicators for Chicago as a whole are provided in the final row of the table. See the full dataset description for more information at: https://data.cityofchicago.org/api/views/fwb8-6aw5/files/A5KBlegGR2nWI1jgP6pjJl32CTPwPbkl9KU3FxlZk-A?download=true&filename=P:\EPI\OEPHI\MATERIALS\REFERENCES\ECONOMIC_INDICATORS\Dataset_Description_socioeconomic_indicators_2012_FOR_PORTAL_ONLY.pdf

  5. P

    Palau 2012 Mini Census Report

    • pacificdata.org
    pdf
    Updated Jul 24, 2020
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    SPC Statistics for Development Division (SDD) (2020). Palau 2012 Mini Census Report [Dataset]. https://pacificdata.org/data/dataset/groups/oai-www-spc-int-124d7613-87d9-412a-8090-0be7753a789a
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    pdfAvailable download formats
    Dataset updated
    Jul 24, 2020
    Dataset provided by
    SPC Statistics for Development Division (SDD)
    Area covered
    Palau
    Description

    Palau 2012 Mini Census Report.

  6. 2012 Census of Agriculture - Web Maps

    • catalog.data.gov
    • datadiscoverystudio.org
    • +2more
    Updated Apr 21, 2025
    + more versions
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    National Agricultural Statistics Service, Department of Agriculture (2025). 2012 Census of Agriculture - Web Maps [Dataset]. https://catalog.data.gov/dataset/2012-census-of-agriculture-web-maps
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    Dataset updated
    Apr 21, 2025
    Dataset provided by
    United States Department of Agriculturehttp://usda.gov/
    National Agricultural Statistics Servicehttp://www.nass.usda.gov/
    Description

    The Census of Agriculture provides a detailed picture every five years of U.S. farms and ranches and the people who operate them. Conducted by USDA’s National Agricultural Statistics Service, the 2012 Census of Agriculture collected more than six million data items directly from farmers. The Ag Census Web Maps application makes this information available at the county level through a few clicks. The maps and accompanying data help users visualize, download, and analyze Census of Agriculture data in a geospatial context.

  7. Census of Agriculture, 2012 - United States of America

    • microdata.fao.org
    Updated Nov 16, 2020
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    National Agricultural Statistics Service (2020). Census of Agriculture, 2012 - United States of America [Dataset]. https://microdata.fao.org/index.php/catalog/1606
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    Dataset updated
    Nov 16, 2020
    Dataset authored and provided by
    National Agricultural Statistics Servicehttp://www.nass.usda.gov/
    Time period covered
    2012 - 2013
    Area covered
    United States
    Description

    Abstract

    For 156 years (1840 - 1996), the U.S. Department of Commerce, Bureau of the Census was responsible for collecting census of agriculture data. The 1997 Appropriations Act contained a provision that transferred the responsibility for the census of agriculture from the Bureau of the Census to the U.S. Department of Agriculture (USDA), National Agricultural Statistics Service (NASS). The 2007 Census of Agriculture is the 27th Federal census of agriculture and the third conducted by NASS. The first agriculture census was taken in 1840 as part of the sixth decennial census of population. The agriculture census continued to be taken as part of the decennial census through 1950. A separate middecade census of agriculture was conducted in 1925, 1935, and 1945. From 1954 to 1974, the census was taken for the years ending in 4 and 9. In 1976, Congress authorized the census of agriculture to be taken for 1978 and 1982 to adjust the data reference year so that it coincided with other economic censuses. This adjustment in timing established the agriculture census on a 5-year cycle collecting data for years ending in 2 and 7. Agriculture census data are used to:

    • Evaluate, change, promote, and formulate farm and rural policies and programs that help agricultural producers; • Study historical trends, assess current conditions, and plan for the future; • Formulate market strategies, provide more efficient production and distribution systems, and locate facilities for agricultural communities; • Make energy projections and forecast needs for agricultural producers and their communities; • Develop new and improved methods to increase agricultural production and profitability; • Allocate local and national funds for farm programs, e.g. extension service projects, agricultural research, soil conservation programs, and land-grant colleges and universities; • Plan for operations during drought and emergency outbreaks of diseases or infestations of pests. • Analyze and report on the current state of food, fuel, feed, and fiber production in the United States.

    Geographic coverage

    National coverage

    Analysis unit

    Households

    Universe

    The statistical unit for the CA 2012 was the farm, an operating unit defined as any place from which USD 1 000 or more of agricultural products were produced and sold, or normally would have been sold, during the census year.

    Kind of data

    Census/enumeration data [cen]

    Sampling procedure

    i. Methodological modality for conducting the census The classical approach was used in the CA 2012.

    ii. Frame NASS maintains a list of farmers and ranchers from which the CML is compiled.

    iii. Complete and/or sample enumeration methods The CA 2012 was an enumeration of all known agricultural holdings meeting the USDA definition of a farm.

    Mode of data collection

    Mail Questionnaire [mail]

    Research instrument

    Seven regionalized versions of the main report form (questionnaire) were used for the CA 2012. The report form versions were designed to facilitate reporting on the crops most commonly grown within each report form region. Additionally, an American Indian report form was developed to facilitate reporting for operations on reservations in Arizona, New Mexico and Utah. All of the forms allowed respondents to write in specific commodities that were not listed on their form.

    • Land owned
    • Land use
    • Irrigation
    • Conservation programs and crop insurance
    • Field crops
    • Bananas, coffee, pineapples and plantain crops
    • Hay and forage crops
    • Nursery, Greenhouse, Floriculture, Sod and tree seedlings
    • Vegetables and melons
    • Hydroponic crops
    • Fruit
    • Root crops
    • Cattle and calves
    • Poultry
    • Hogs and pigs
    • Aquaculture
    • Other animals and livestock products
    • Value of sales
    • Organic agriculture
    • Federal and commonwealth agricultural program payments
    • Income from farm-related sources
    • Production expenses
    • Farm labour
    • Fertilizer and chemicals applied
    • Market value of land and buildings
    • Machinery, equipment and buildings
    • Practices
    • Type of organization
    • Operator characteristics

    The CA 2012 covered all 16 core items recommended to be collected in the WCA 2010. See questionnaire in external materials.

    Cleaning operations

    1. DATA PROCESSING AND ARCHIVING The completed forms were scanned and Optical Mark Recognition (OMR) was used to retrieve categorical responses and to identify the other answer zones in which some type of mark was present. The edit system determined the best value to impute for reported responses that were deemed unreasonable and for required responses that were absent. The complex edit ensured the full internal consistency of the record. After tabulation and review of the aggregates, a comprehensive disclosure review was conducted. Cell suppression was used to protect the cells that were determined to be sensitive to a disclosure of information.

    2. CENSUS DATA QUALITY NASS conducted an extensive program to follow-up all non-response. NASS also used capture-recapture methodology to adjust for under-coverage, non-response, and misclassification. To implement capture-recapture methods, two independent surveys were required --the 2012 Census of Agriculture (based on the Census Mail List) and the 2012 June Agricultural Survey (based on the area frame). Historically, NASS has been careful to maintain the independence of these two surveys.

    Data appraisal

    The complete data series from the 2012 Census of Agriculture is available from the NASS website free of charge in multiple formats, including Quick Stats 2.0 - an online database to retrieve customized tables with Census data at the national, state and county levels. The 2012 Census of Agriculture provides information on a range of topics, including agricultural practices, conservation, organic production, as well as traditional and specialty crops.

  8. Census Data by Zip Code 2012-2016 Data Package

    • johnsnowlabs.com
    csv
    Updated Jan 20, 2021
    + more versions
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    John Snow Labs (2021). Census Data by Zip Code 2012-2016 Data Package [Dataset]. https://www.johnsnowlabs.com/marketplace/census-data-by-zip-code-2012-2016-data-package/
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    csvAvailable download formats
    Dataset updated
    Jan 20, 2021
    Dataset authored and provided by
    John Snow Labs
    Description

    This data package has the purpose to offer data for demographic indicators, part of 5-years American Community Census, that could be needed in the analysis made along with health-related data or as stand-alone. The American Community Survey based on 5-years estimates is, according to U.S Census Bureau, the most reliable, because the samples used are the largest and the data collected cover all country areas, regardless of the population number.

  9. P

    Tuvalu 2012 Census Vol 1_Analytical Report

    • pacificdata.org
    pdf
    Updated Sep 22, 2022
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    SPC Statistics for Development Division (SDD) (2022). Tuvalu 2012 Census Vol 1_Analytical Report [Dataset]. https://pacificdata.org/data/dataset/activity/oai-www-spc-int-d37445da-2ea3-44d9-8dcd-cecd2e68fae5
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    pdfAvailable download formats
    Dataset updated
    Sep 22, 2022
    Dataset provided by
    SPC Statistics for Development Division (SDD)
    Area covered
    Tuvalu
    Description
    1. Tuvalu 2012 Census Vol 1 Analytical Report. Noumea, New Caledonia: Secretariat of the Pacific Community. 106 p.
  10. p

    Population and Housing Census 2012 - Tuvalu

    • microdata.pacificdata.org
    Updated Oct 17, 2018
    + more versions
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    Central Statistics Division (2018). Population and Housing Census 2012 - Tuvalu [Dataset]. https://microdata.pacificdata.org/index.php/catalog/50
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    Dataset updated
    Oct 17, 2018
    Dataset authored and provided by
    Central Statistics Division
    Time period covered
    2012
    Area covered
    Tuvalu
    Description

    Abstract

    The 2012 Population and Housing census of Tuvalu is the third census conducted by the Central Statistics Division since Tuvalu gained political independence in 1978. This document provides the population and housing information on areas covering general health, education, labour force, employment, disability, children, youth, aging-population, gender, communication, technology, urbanization, home appliances and many others.

    Geographic coverage

    National Coverage

    Analysis unit

    Individuals and Household-levels

    Universe

    The Census covered the whole population of Tuvalu

    Kind of data

    Census/enumeration data [cen]

    Sampling procedure

    This is a Census of the Population which covers 100% of the Tuvalu population which does not have any sampling procedures.

    Mode of data collection

    Face-to-face [f2f]

    Research instrument

    The 2012 Tuvalu Census questionnaires is divided into 2 sections:

    1) A household questionnaire which was used to collect information on all household characteristics (dwelling). 2) A personal questionnaire administered in each household to all household members currently residing or away on temporary basis during census night.

    The Household section of the questionnaire covers areas of household characteristics such as the type of living quaters, house ownership, construction of the house, source of drinking water, source of cooking energy, source of lighting, electrical appliances, etc.

    The second section of the Questionnaire module or the Personal (Individual) section covers all household members demographic characteristics, social and economical backgrounds.

    The Census Questionnaires has questions both in English and also in the local Tuvaluan language.

  11. a

    Data from: Internet Census 2012

    • academictorrents.com
    bittorrent
    Updated Aug 17, 2014
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    Carna Botnet (2014). Internet Census 2012 [Dataset]. https://academictorrents.com/details/7e138693170629fa7835d52798be18ab2fb847fe
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    bittorrent(611420520537)Available download formats
    Dataset updated
    Aug 17, 2014
    Dataset authored and provided by
    Carna Botnet
    License

    https://academictorrents.com/nolicensespecifiedhttps://academictorrents.com/nolicensespecified

    Description

    All data collected during the Internet Census 2012 is available for download via BitTorrent. It is released into public domain so everybody can use it for any purpose. For an explanation of what this data is and how it was obtained, see Paper. The full download is 568GB large. The data is segmented and organized into folders and subfolders, so you may just choose the files you need and don t have to download everything. The data is tab separated, ordered by IP and timestamp. The torrent also contains an offline version of this website and tab separated lists of the data which can be browsed in the service probe overview section, in the Hilbert Browser and in the reverse DNS overview. The data is compressed using ZPAQ 1.10, which is default in Debian and Ubuntu. It was found to have the smallest filesize, although it comes at the cost of very high cpu usage. Python code to distribute decompression workload across LAN computers is part of the code pack. Decompressing all data results in

  12. 2012 Economic Census: EC1261SLLS1 | Educational Services: Subject Series -...

    • data.census.gov
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    ECN, 2012 Economic Census: EC1261SLLS1 | Educational Services: Subject Series - Product Lines: Product Lines Statistics by Industry for the U.S. and States: 2012 (ECN Core Statistics Economic Census US Lines Data) [Dataset]. https://data.census.gov/table/ECNLINES2012.EC1261SLLS1?q=BARBER%20BOB%20JR
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    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    ECN
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Time period covered
    2012
    Area covered
    United States
    Description

    Table NameEducational Services: Subject Series: Product Lines: Product Lines Statistics by Industry for the U.S. and States: 2012ReleaseScheduleThe data in this file are scheduled for release in March 2016.Key TableInformationThese data supersede preliminary data released in the Industry Series Product Lines file for Educational Services (Sector 61) from the 2012 Economic Census. See Methodology. for additional information on data limitations.UniverseThe universe of this file is all establishments of firms with payroll in business at any time during 2012 and classified in Educational Services (Sector 61).GeographyCoverageThe data are shown at the United States and State levels.IndustryCoverageThe data are shown for 2- through 7-digit 2012 NAICS codes.Data ItemsandOtherIdentifyingRecordsThis file contains data on:. Number and total receipts/revenue of establishments with the product line. Product line receipts/revenue. Product line receipts/revenue as a percent of total receipts/revenue of establishments with the product line and of all establishments. Receipts/Revenue of establishments reporting product line receipts/revenue as a percent of total receipts/revenueEach record includes a PSCODE code which represents a specific product line.FTP DownloadDownload the entire table athttps://www2.census.gov/econ2012/EC/sector61/EC1261SLLS1.zip. ContactInformation. U.S. Census Bureau, Economy Wide Statistics Division. Data User Outreach and Education Staff. Washington, DC 20233-6900. Tel: (800) 242-2184. Tel: (301) 763-5154. ewd.outreach@census.gov. . .For information on economic census geographies, including changes for 2012, see the economic census Help Center..These data are final; they supersede data released in earlier data files. Includes only establishments of firms with payroll. See Table Notes for more information. Data based on the 2012 Economic Census. For information on confidentiality protection, sampling error, nonsampling error, and definitions, see Methodology..Symbols:D - Withheld to avoid disclosing data for individual companies; data are included in higher level totalsN - Not available or not comparableFor a complete list of all economic programs symbols, see the Symbols Glossary.Note: Statistics other than industry totals are based on a sample and, therefore, are subject to sampling error. No measure of that sampling error is provided..Source: U.S. Census Bureau, 2012 Economic Census.Note: The data in this file are based on the 2012 Economic Census. To maintain confidentiality, the U.S. Census Bureau suppresses data to protect the identity of any business or individual. The census results in this file contain sampling and nonsampling error. Data users who create their own estimates using data from this file should cite the U.S. Census Bureau as the source of the original data only. For the full technical documentation, see Methodology link in above headnote.

  13. 2012 Economic Census: EC1271SLLS1 | Arts, Entertainment, and Recreation:...

    • data.census.gov
    Updated Jan 21, 2004
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    ECN (2004). 2012 Economic Census: EC1271SLLS1 | Arts, Entertainment, and Recreation: Subject Series - Product Lines: Product Lines Statistics by Industry for the U.S. and States: 2012 (ECN Core Statistics Economic Census US Lines Data) [Dataset]. https://data.census.gov/table/ECNLINES2012.EC1271SLLS1?q=N+C+Products+Inc
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    Dataset updated
    Jan 21, 2004
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    ECN
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Time period covered
    2012
    Area covered
    United States
    Description

    Table NameArts, Entertainment, and Recreation: Subject Series: Product Lines: Product Lines Statistics by Industry for the U.S. and States: 2012ReleaseScheduleThe data in this file are scheduled for release in March 2016.Key TableInformationThese data supersede preliminary data released in the Industry Series Product Lines file for Arts, Entertainment, and Recreation (Sector 71) from the 2012 Economic Census. See Methodology. for additional information on data limitations.UniverseThe universe of this file is all establishments of firms with payroll in business at any time during 2012 and classified in Arts, Entertainment, and Recreation (Sector 71).GeographyCoverageThe data are shown at the United States and State levels.IndustryCoverageThe data are shown for 2- through 7-digit 2012 NAICS codes.Data ItemsandOtherIdentifyingRecordsThis file contains data on:. Number and total receipts/revenue of establishments with the product line. Product line receipts/revenue. Product line receipts/revenue as a percent of total receipts/revenue of establishments with the product line and of all establishments. Receipts/Revenue of establishments reporting product line receipts/revenue as a percent of total receipts/revenueEach record includes a PSCODE code which represents a specific product line.FTP DownloadDownload the entire table athttps://www2.census.gov/econ2012/EC/sector71/EC1271SLLS1.zip. ContactInformation. U.S. Census Bureau, Economy Wide Statistics Division. Data User Outreach and Education Staff. Washington, DC 20233-6900. Tel: (800) 242-2184. Tel: (301) 763-5154. ewd.outreach@census.gov. . .For information on economic census geographies, including changes for 2012, see the economic census Help Center..These data are final; they supersede data released in earlier data files. Includes only establishments of firms with payroll. See Table Notes for more information. Data based on the 2012 Economic Census. For information on confidentiality protection, sampling error, nonsampling error, and definitions, see Methodology..Symbols:D - Withheld to avoid disclosing data for individual companies; data are included in higher level totalsN - Not available or not comparableFor a complete list of all economic programs symbols, see the Symbols Glossary.Note: Statistics other than industry totals are based on a sample and, therefore, are subject to sampling error. No measure of that sampling error is provided..Source: U.S. Census Bureau, 2012 Economic Census.Note: The data in this file are based on the 2012 Economic Census. To maintain confidentiality, the U.S. Census Bureau suppresses data to protect the identity of any business or individual. The census results in this file contain sampling and nonsampling error. Data users who create their own estimates using data from this file should cite the U.S. Census Bureau as the source of the original data only. For the full technical documentation, see Methodology link in above headnote.

  14. Nov 2012 Current Population Survey: Basic Monthly

    • catalog.data.gov
    • datasets.ai
    • +1more
    Updated Sep 7, 2023
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    U.S. Census Bureau (2023). Nov 2012 Current Population Survey: Basic Monthly [Dataset]. https://catalog.data.gov/dataset/nov-2012-current-population-survey-basic-monthly
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    Dataset updated
    Sep 7, 2023
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Description

    To provide estimates of employment, unemployment, and other characteristics of the general labor force, of the population as a whole, and of various subgroups of the population. Monthly labor force data for the country are used by the Bureau of Labor Statistics (BLS) to determine the distribution of funds under the Job Training Partnership Act. These data are collected through combined computer-assisted personal interviewing (CAPI) and computer-assisted telephone interviewing (CATI). In addition to the labor force data, the CPS basic funding provides annual data on work experience, income, and migration from the March Annual Demographic Supplement and on school enrollment of the population from the October Supplement. Other supplements, some of which are sponsored by other agencies, are conducted biennially or intermittently.

  15. e

    2012 Census

    • data.europa.eu
    zip
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    Jean-Philippe Gautier, 2012 Census [Dataset]. https://data.europa.eu/data/datasets/55b0ee7ec751df609910ccb6
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    zip(1870655)Available download formats
    Dataset authored and provided by
    Jean-Philippe Gautier
    Description

    Main census indicators for 2012 (figures published online on 25 June 2015 by INSEE) covering the population (age, training, activity, unemployment, etc.) and housing.

  16. i

    National Census of Population and Housing 2012 - Paraguay

    • webapps.ilo.org
    Updated Jun 21, 2017
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    Dirección General de Estadística, Encuestas Y Censos (DGEEC) (2017). National Census of Population and Housing 2012 - Paraguay [Dataset]. https://webapps.ilo.org/surveyLib/index.php/catalog/962
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    Dataset updated
    Jun 21, 2017
    Dataset authored and provided by
    Dirección General de Estadística, Encuestas Y Censos (DGEEC)
    Time period covered
    2012
    Area covered
    Paraguay
    Description

    Abstract

    Objectives: The Census 2002 collected information on severe disabilities such as blindness, paralysis or deafness. The census of 2012 investigated the different degrees of physical difficulties affecting the Paraguayan population. The main objective of the census was to identify persons with disabilities, including children and youth with disabilities, and determine their characteristics.

    Reference Period: Na

    Periodicity of Data Collection: Every 10 years

    Geographic coverage

    Na

    Analysis unit

    Individuals

    Universe

    Population groups: Na

    Total population covered: Na

    Economic activities: Na

    Sectors covered: Na

    Labor force status: Na

    Status in Employment: Na

    Establishments:

    Other limitations: Na

    Classifications: Sex, age, area, level of education, type of disability

    Cross-classification: Na

    Kind of data

    Census/enumeration data [cen]

    Frequency of data collection

    Periodicity of Data collection: Every 10 years

  17. i

    Population and Housing Census 2012 - Rwanda

    • datacatalog.ihsn.org
    • catalog.ihsn.org
    Updated Mar 29, 2019
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    National Institute of Statistics of Rwanda (2019). Population and Housing Census 2012 - Rwanda [Dataset]. https://datacatalog.ihsn.org/catalog/6719
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    Dataset updated
    Mar 29, 2019
    Dataset authored and provided by
    National Institute of Statistics of Rwanda
    Time period covered
    2012
    Area covered
    Rwanda
    Description

    Abstract

    The fourth Population and Housing Census (PHC4) was based on the characteristics of persons with disabilities under the following three broad headings: (i) The number, prevalence, types, and causes of disability, (ii) The demographic, social and economic characteristics of persons with disabilities, (iii) The characteristics of household heads with disabilities and the living standards of their households. The disability measure used in the 2012 Census was based on the International Classification of Functioning, Disability and Health (ICF) and used the concept of activity limitations e.g. difficulty seeing, hearing, speaking, walking/climbing and learning/concentrating to identify persons with disabilities.

    The 2012 PHC was carried out by the National Institute of Statistics of Rwanda (NISR). Field work was conducted from August 16th to August 30th 2012, financial support was provided by the Government of Rwanda, The World Bank (WBG), UKAID, the European Union (EU), One UN, United Nations Population Fund (UNFPA), United Nations Development Programme (UNDP), United Nations Children's Fund (UNICEF) and UN Women.

    The specific objectives of the PHC include: 1. The number of persons with disabilities and the prevalence of the different types of disability. 2. The causes of these disabilities. 3. The background characteristics (profile) of persons with disabilities. 4. The household headship rate among people with disabilities. 5. The characteristics of heads of household with disabilities. 6. The household characteristics and the living conditions of households headed by persons with disabilities compared to those headed by persons without a disability.

    Geographic coverage

    National

    Analysis unit

    Individuals

    Kind of data

    Census/enumeration data [cen]

    Sampling procedure

    As disability affects only a rather small percentage of the population, Census data were particularly valuable in providing detailed evidence on the demographic and socio-economic characteristics of this population group. Sample surveys, unless specifically targeting the population with disabilities, tend to have insufficient sample sizes to examine types and causes of disabilities as well as detailed cross-tabulations of characteristics of the population with disabilities.

    Overall, 446,453 persons with disabilities aged 5 and above live in Rwanda according to the 2012 Census, out of which 221,150 are male and 225,303 are female. The count of persons with disabilities by province reflects the geographical distribution of the population in general, with the largest number being found in the Southern Province (122,319) and the lowest in Kigali City (32,170). For the same reason, the number of persons with disabilities is higher in rural areas than in urban areas.

    Mode of data collection

    Face-to-face [f2f]

    Research instrument

    Two different types of questionnaires were administered. One for private households and one for institutional households. The questionnaire for private households contained a person record, a household record and a mortality record. The questionnaire for institutional households contained only a person record.

  18. w

    2012 Census - Population By School Residency (Citywide) - Chart View

    • data.wu.ac.at
    Updated Sep 13, 2016
    + more versions
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    Elections Office (2016). 2012 Census - Population By School Residency (Citywide) - Chart View [Dataset]. https://data.wu.ac.at/schema/data_edmonton_ca/aTVtYi15enJu
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    Dataset updated
    Sep 13, 2016
    Dataset provided by
    Elections Office
    Description

    All Census information is as of April 1, 2012. No data on any individual residence will be released. To protect the privacy of individuals, data is compiled and presented at the city, ward and neighbourhood level only. Neighbourhood results with a population under 49 are not posted to protect the information collected. The designation of “No Response” includes households from which no census data could be collected or only partial data was available. “Other Residential” includes dwelling units not covered by the other categories, such as a unit attached to a non-residential structure (e.g. an apartment in a store or church) or a movable structure (e.g. recreational vehicle, tent, etc.).

  19. w

    2012 Census - Population By Dwelling Unit Ownership (Citywide) - Chart View

    • data.wu.ac.at
    Updated Sep 13, 2016
    + more versions
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    Elections Office (2016). 2012 Census - Population By Dwelling Unit Ownership (Citywide) - Chart View [Dataset]. https://data.wu.ac.at/schema/data_edmonton_ca/aGNkbS1ramdu
    Explore at:
    Dataset updated
    Sep 13, 2016
    Dataset provided by
    Elections Office
    Description

    All Census information is as of April 1, 2012. Ages of residents are effective April 1, 2012. No data on any individual residence will be released. To protect the privacy of individuals, data is compiled and presented at the city, ward and neighbourhood level only. Neighbourhood results with a population under 49 are not posted to protect the information collected. The designation of “No Response” includes households from which no census data could be collected or only partial data was available. Bulk-count data from multiple-resident facilities (such as group homes, transient drop-in centres, residential hotels or criminal detention centres) may be limited when personal information cannot be obtained (i.e. information is not available or cannot be released by the facility administration).

  20. E

    2012 Census - Population By Structure Type (Citywide)

    • data.edmonton.ca
    application/rdfxml +5
    Updated Aug 3, 2012
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    City of Edmonton (2012). 2012 Census - Population By Structure Type (Citywide) [Dataset]. https://data.edmonton.ca/Census/2012-Census-Population-By-Structure-Type-Citywide-/vtgf-yvms
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    application/rssxml, csv, json, xml, tsv, application/rdfxmlAvailable download formats
    Dataset updated
    Aug 3, 2012
    Dataset authored and provided by
    City of Edmonton
    Description

    All Census information is as of April 1, 2012. No data on any individual residence will be released. To protect the privacy of individuals, data is compiled and presented at the city, ward and neighbourhood level only. Neighbourhood results with a population under 49 are not posted to protect the information collected. The designation of “No Response” includes households from which no census data could be collected or only partial data was available. “Other Residential” includes dwelling units not covered by the other categories, such as a unit attached to a non-residential structure (e.g. an apartment in a store or church) or a movable structure (e.g. recreational vehicle, tent, etc.).

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U.S. Census Bureau (2023). 2012 Economic Census - Economic Census Exported Services Data [Dataset]. https://catalog.data.gov/dataset/2012-economic-census-economic-census-exported-services-data
Organization logo

2012 Economic Census - Economic Census Exported Services Data

Explore at:
Dataset updated
Jul 19, 2023
Dataset provided by
United States Census Bureauhttp://census.gov/
Description

The Economic Census is the U.S. Government's official five-year measure of American business and the economy. It is conducted by the U.S. Census Bureau, and response is required by law. In October through December of the census year, forms are sent out to nearly 4 million businesses, including large, medium and small companies representing all U.S. locations and industries. Respondents were asked to provide a range of operational and performance data for their companies.This dataset presents data for exported services for selected industries.

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