Release Date: 2017-07-13.[NOTE: Includes firms with payroll at any time during 2015. Employment reflects the number of paid employees during the March 12 pay period. Data are based on Census administrative records, and the estimates of business ownership by gender, ethnicity, race, and veteran status are from the 2015 Annual Survey of Entrepreneurs. Detail may not add to total due to rounding or because a Hispanic firm may be of any race. Moreover, each owner had the option of selecting more than one race and therefore is included in each race selected. Firms with more than one domestic establishment are counted in each geographic area and industry in which they operate, but only once in the U.S. and state totals for all sectors. For information on confidentiality protection, sampling error, nonsampling error, and definitions, see Survey Methodology.]..Table Name. . Statistics for U.S. Employer Firms by Sector, Gender, Ethnicity, Race, and Veteran Status for the U.S., States, and Top 50 MSAs: 2015. ..Release Schedule. . This file was released in July 2017.. ..Key Table Information. . These data are related to all other 2015 ASE files.. Refer to the Methodology section of the Annual Survey of Entrepreneurs website for additional information.. ..Universe. . The universe for the 2015 Annual Survey of Entrepreneurs (ASE) includes all U.S. firms with paid employees operating during 2015 with receipts of $1,000 or more which are classified in the North American Industry Classification System (NAICS) sectors 11 through 99, except for NAICS 111, 112, 482, 491, 521, 525, 813, 814, and 92 which are not covered. Firms with more than one domestic establishment are counted in each geographic area and industry in which they operate, but only once in the U.S. total.. ..Geographic Coverage. . The data are shown for:. . United States. States and the District of Columbia. The fifty most populous metropolitan areas. . ..Industry Coverage. . The data are shown for the total of all sectors (00) and the 2-digit NAICS code level.. ..Data Items and Other Identifying Records. . Statistics for U.S. Employer Firms by Sector, Gender, Ethnicity, Race, and Veteran Status for the U.S., States, and Top 50 MSAs: 2015 contains data on:. . Number of firms with paid employees. Sales and receipts for firms with paid employees. Number of employees for firms with paid employees. Annual payroll for firms with paid employees. . The data are shown for:. . All firms classifiable by gender, ethnicity, race, and veteran status. . Gender. . Female-owned. Male-owned. Equally male-/female-owned. . . Ethnicity. . Hispanic. Equally Hispanic/non-Hispanic. Non-Hispanic. . . Race. . White. Black or African American. American Indian and Alaska Native. Asian. Native Hawaiian and Other Pacific Islander. Some other race. Minority. Equally minority/nonminority. Nonminority. . . Veteran Status. . Veteran-owned. Equally veteran-/nonveteran-owned. Nonveteran-owned. . . . . Publicly held and other firms not classifiable by gender, ethnicity, race, and veteran status. . ..Sort Order. . Data are presented in ascending levels by:. . Geography (GEO_ID). NAICS code (NAICS2012). Gender (SEX). Ethnicity (ETH_GROUP). Race (RACE_GROUP). Veteran Status (VET_GROUP). . The data are sorted on underlying control field values, so control fields may not appear in alphabetical order.. ..FTP Download. . Download the entire SE1500CSA01 table at: https://www2.census.gov/programs-surveys/ase/data/2015/SE1500CSA01.zip. ..Contact Information. . To contact the Annual Survey of Entrepreneurs staff:. . Visit the website at http://www.census.gov/programs-surveys/ase.html.. Email general, nonsecure, and unencrypted messages to ewd.annual.survey.of.entrepreneurs@census.gov.. Call 301.763.1546 between 7 a.m. and 5 p.m. (EST), Monday through Friday.. Write to:. U.S. Census Bureau. Annual Survey of Entrepreneurs. 4600 Silver Hill Road. Washington, DC 20233. . . ...Source: U.S. Census Bureau, 2015 Annual Survey of EntrepreneursNote: The data in this file are based on Census administrative records and the Annual Survey of Entrepreneurs (ASE). To maintain confidentiality, the Census Bureau suppresses data to protect the identity of any business or i...

Release Date: 2017-07-13.[NOTE: Includes firms with payroll at any time during 2015. Employment reflects the number of paid employees during the March 12 pay period. Data are based on Census administrative records, and the estimates of business ownership by gender, ethnicity, race, and veteran status are from the 2015 Annual Survey of Entrepreneurs. Detail may not add to total due to rounding or because a Hispanic firm may be of any race. Moreover, each owner had the option of selecting more than one race and therefore is included in each race selected. Firms with more than one domestic establishment are counted in each geographic area and industry in which they operate, but only once in the U.S. and state totals for all sectors. For information on confidentiality protection, sampling error, nonsampling error, and definitions, see Survey Methodology.]..Table Name. . Statistics for U.S. Employer Firms by Sector, Gender, Ethnicity, Race, Veteran Status, and Employment Size of Firm for the U.S., States, and Top 50 MSAs: 2015. ..Release Schedule. . This file was released in July 2017.. ..Key Table Information. . These data are related to all other 2015 ASE files.. Refer to the Methodology section of the Annual Survey of Entrepreneurs website for additional information.. ..Universe. . The universe for the 2015 Annual Survey of Entrepreneurs (ASE) includes all U.S. firms with paid employees operating during 2015 with receipts of $1,000 or more which are classified in the North American Industry Classification System (NAICS) sectors 11 through 99, except for NAICS 111, 112, 482, 491, 521, 525, 813, 814, and 92 which are not covered. Firms with more than one domestic establishment are counted in each geographic area and industry in which they operate, but only once in the U.S. total.. ..Geographic Coverage. . The data are shown for:. . United States. States and the District of Columbia. The fifty most populous metropolitan areas. . ..Industry Coverage. . The data are shown for the total of all sectors (00) and the 2-digit NAICS code level.. ..Data Items and Other Identifying Records. . Statistics for U.S. Employer Firms by Sector, Gender, Ethnicity, Race, Veteran Status, and Employment Size of Firm for the U.S., States, and Top 50 MSAs: 2015 contains data on:. . Number of firms with paid employees. Sales and receipts for firms with paid employees. Number of employees for firms with paid employees. Annual payroll for firms with paid employees. . The data are shown for:. . All firms classifiable by gender, ethnicity, race, and veteran status. . Gender. . Female-owned. Male-owned. Equally male-/female-owned. . . Ethnicity. . Hispanic. Equally Hispanic/non-Hispanic. Non-Hispanic. . . Race. . White. Black or African American. American Indian and Alaska Native. Asian. Native Hawaiian and Other Pacific Islander. Some other race. Minority. Equally minority/nonminority. Nonminority. . . Veteran Status. . Veteran-owned. Equally veteran-/nonveteran-owned. Nonveteran-owned. . . . . Publicly held and other firms not classifiable by gender, ethnicity, race, and veteran status. Employment size of firm during the March 12 pay period for firms with paid employees at any time during 2015. . All firms. Firms with no employees. Firms with 1 to 4 employees. Firms with 5 to 9 employees. Firms with 10 to 19 employees. Firms with 20 to 49 employees. Firms with 50 to 99 employees. Firms with 100 to 249 employees. Firms with 250 to 499 employees. Firms with 500 employees or more. . . . ..Sort Order. . Data are presented in ascending levels by:. . Geography (GEO_ID). NAICS code (NAICS2012). Gender (SEX). Ethnicity (ETH_GROUP). Race (RACE_GROUP). Veteran Status (VET_GROUP). Employment size of firm (EMPSZFI). . The data are sorted on underlying control field values, so control fields may not appear in alphabetical order.. ..FTP Download. . Download the entire SE1500CSA04 table at: https://www2.census.gov/programs-surveys/ase/data/2015/SE1500CSA04.zip. ..Contact Information. . To contact the Annual Survey of Entrepreneurs staff:. . Visit the website at http://www.census.gov/programs-surveys/ase.html.. Em...

description: The 2015 cartographic boundary KMLs are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). These boundary files are specifically designed for small-scale thematic mapping. When possible, generalization is performed with the intent to maintain the hierarchical relationships among geographies and to maintain the alignment of geographies within a file set for a given year. Geographic areas may not align with the same areas from another year. Some geographies are available as nation-based files while others are available only as state-based files. Metropolitan and Micropolitan Statistical Areas are together termed Core Based Statistical Areas (CBSAs) and are defined by the Office of Management and Budget (OMB) and consist of the county or counties or equivalent entities associated with at least one urban core (urbanized area or urban cluster) of at least 10,000 population, plus adjacent counties having a high degree of social and economic integration with the core as measured through commuting ties with the counties containing the core. Categories of CBSAs are: Metropolitan Statistical Areas, based on urbanized areas of 50,000 or more population; and Micropolitan Statistical Areas, based on urban clusters of at least 10,000 population but less than 50,000 population. The CBSAs boundaries are those defined by OMB based on the 2010 Census and published in 2013.; abstract: The 2015 cartographic boundary KMLs are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). These boundary files are specifically designed for small-scale thematic mapping. When possible, generalization is performed with the intent to maintain the hierarchical relationships among geographies and to maintain the alignment of geographies within a file set for a given year. Geographic areas may not align with the same areas from another year. Some geographies are available as nation-based files while others are available only as state-based files. Metropolitan and Micropolitan Statistical Areas are together termed Core Based Statistical Areas (CBSAs) and are defined by the Office of Management and Budget (OMB) and consist of the county or counties or equivalent entities associated with at least one urban core (urbanized area or urban cluster) of at least 10,000 population, plus adjacent counties having a high degree of social and economic integration with the core as measured through commuting ties with the counties containing the core. Categories of CBSAs are: Metropolitan Statistical Areas, based on urbanized areas of 50,000 or more population; and Micropolitan Statistical Areas, based on urban clusters of at least 10,000 population but less than 50,000 population. The CBSAs boundaries are those defined by OMB based on the 2010 Census and published in 2013.

Table NameInformation: Geographic Area Series: Summary Statistics for the U.S., States, Metro Areas, Counties, and Places: 2012ReleaseScheduleThe data in this file are scheduled for release on a flow basis starting in May 2015 and ending in December 2015.Key TableInformationThese data supersede preliminary data released in the Industry Series files for Information (Sector 51) 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 Information (Sector 51).GeographyCoverageThe data are shown at the United States, State, Combined Statistical Area, Metropolitan and Micropolitan Statistical Area, Metropolitan Division, Consolidated City, County (and equivalent), and Economic Place (and equivalent; incorporated and unincorporated) levels. New for 2012: The Economic Place criteria has changed from 5,000 population or jobs for the 2007 Economic Census to 2,500 population or jobs for 2012. Also, data for Non-Metro Areas is now published using Geographic Component Codes. See New for 2012 for more information about these changes. IndustryCoverageThe data shown vary by geography for 2- through 7-digit 2012 NAICS codes.Data ItemsandOtherIdentifyingRecordsThis file contains data on:EstablishmentsSalesAnnual payrollFirst-quarter payrollPaid employeesPercent of sales from administrative recordsPercent of sales estimatedFTP DownloadDownload the entire table athttps://www2.census.gov/econ2012/EC/sector51/EC1251A1.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.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 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.

New Upload:

Added +32,000 more locations. For information on data calculations please refer to the methodology pdf document. Information on how to calculate the data your self is also provided as well as how to buy data for $1.29 dollars.

What you get:

The database contains 32,000 records on US Household Income Statistics & Geo Locations. The field description of the database is documented in the attached pdf file. To access, all 348,893 records on a scale roughly equivalent to a neighborhood (census tract) see link below and make sure to up vote. Up vote right now, please. Enjoy!

Household & Geographic Statistics:

• Mean Household Income (double)
• Median Household Income (double)
• Standard Deviation of Household Income (double)
• Number of Households (double)
• Square area of land at location (double)
• Square area of water at location (double)

Geographic Location:

• Longitude (double)
• Latitude (double)
• State Name (character)
• State abbreviated (character)
• State_Code (character)
• County Name (character)
• City Name (character)
• Name of city, town, village or CPD (character)
• Primary, Defines if the location is a track and block group.
• Zip Code (character)
• Area Code (character)

Abstract

The dataset originally developed for real estate and business investment research. Income is a vital element when determining both quality and socioeconomic features of a given geographic location. The following data was derived from over +36,000 files and covers 348,893 location records.

License

Only proper citing is required please see the documentation for details. Have Fun!!!

Golden Oak Research Group, LLC. “U.S. Income Database Kaggle”. Publication: 5, August 2017. Accessed, day, month year.

Sources, don't have 2 dollars? Get the full information yourself!

2011-2015 ACS 5-Year Documentation was provided by the U.S. Census Reports. Retrieved August 2, 2017, from https://www2.census.gov/programs-surveys/acs/summary_file/2015/data/5_year_by_state/

Found Errors?

Please tell us so we may provide you the most accurate data possible. You may reach us at: research_development@goldenoakresearch.com

for any questions you can reach me on at 585-626-2965

please note: it is my personal number and email is preferred

Check our data's accuracy: Census Fact Checker

Access all 348,893 location records and more:

Don't settle. Go big and win big. Optimize your potential. Overcome limitation and outperform expectation. Access all household income records on a scale roughly equivalent to a neighborhood, see link below:

Website: Golden Oak Research Kaggle Deals all databases $1.29 Limited time only

A small startup with big dreams, giving the every day, up and coming data scientist professional grade data at affordable prices It's what we do.

Abstract (en): The Current Population Survey Tobacco Use Supplement data collection from January 2015 is comprised of responses from two sets of survey questionnaires, the basic Current Population Survey (CPS) and a Tobacco Use Supplement (TUS) survey. The TUS 2014-2015 Wave consists of three collections: July 2014, January 2015, and May 2015. The CPS, administered monthly, is the source of the official government statistics on employment and unemployment. From time to time, additional questions are included on health, education, and previous work experience. The Tobacco Use Supplement to the CPS is a National Cancer Institute sponsored survey of tobacco use that has been administered as part of the US Census Bureau's CPS approximately every 3-4 years since 1992-1993. Similar to other CPS supplements, the Tobacco Use Supplement was designed for both proxy and self-respondents. All CPS household members age 18 and older who completed CPS core items in January 2015 were eligible for the supplement items. A new feature for the 2014-2015 cycle included random selection of self-interviewed respondents in larger households to reduce respondent burden. If the household had only 1 supplement eligible member then that person was selected for self-interview. If the household had only 2 supplement eligible members, then both of them were selected for self-interview. If the household had 3 or 4 supplement eligible members, then 2 of them were randomly selected for self-interview and the remaining were interviewed by proxy. If the household had more than 4 supplement eligible members, then 3 of them were randomly selected for self-interview and the rest of the eligible respondents were interviewed by proxy. Those selected for self-interview were eligible for the entire supplement, whereas proxy respondents were only eligible for an abbreviated interview. Occasionally, those persons to be interviewed by proxy, if available for self- interview, were interviewed directly but asked the abbreviated proxy path questions. Both proxy and self-respondents were asked about their smoking status and the use of other tobacco products. For self-respondents only, different questions were asked depending on their tobacco use status: for former/current smokers, questions were asked about type of cigarettes smoked, measures of addiction, attempts to quit smoking, methods and treatments used to quit smoking, and if they were planning to quit in the future. All self-respondents were asked about smoking policy at their work place and their attitudes towards smoking in different locations. Demographic information within this collection includes age, sex, race, Hispanic origin, marital status, veteran status, immigration status, educational background, employment status, occupation, and income. The Tobacco use supplements were created for researchers to monitor tobacco control progress, conduct tobacco-related research including health disparities, and to evaluate tobacco control programs. The 2014-2015 wave of the tobacco use supplements serve to gather detailed information on non-cigarette tobacco products, including emerging ones, information about use of flavored non-cigarette tobacco products, and attitudes towards smoking in multi-unit housing. The purpose of the Current Population Survey is to collection information on the employment situation, and to collect information on demographic characteristics that will serve as update to similar information collected in the decennial census for policymakers and legislators. The Tobacco Use questions making up the Supplement for the CPS were asked of any person age 18 years or older in the household in January 2015. A new feature of the 2014-2015 wave included random selection of self interviewed respondents in larger households to reduce respondent burden. If the household had only 1 supplement eligible member then that person was selected for self interview. If the household had only 2 supplement eligible members, then both of them were selected for self interview. If the household had 3 or 4 supplement eligible members, then 2 of them were randomly selected for self interview and the remaining were interviewed by proxy. If the household had more than 4 supplement eligible members, then 3 of them were randomly selected for self- interview and the rest of the eligible respondents were interviewed by proxy. Those selected for self-interview were eligible for the entire supplement, whereas proxy res...

description: The 2015 cartographic boundary shapefiles are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). These boundary files are specifically designed for small-scale thematic mapping. When possible, generalization is performed with the intent to maintain the hierarchical relationships among geographies and to maintain the alignment of geographies within a file set for a given year. Geographic areas may not align with the same areas from another year. Some geographies are available as nation-based files while others are available only as state-based files. ZIP Code Tabulation Areas (ZCTAs) are approximate area representations of U.S. Postal Service (USPS) ZIP Code service areas that the Census Bureau creates to present statistical data for each decennial census. The Census Bureau delineates ZCTA boundaries for the United States, Puerto Rico, American Samoa, Guam, the Commonwealth of the Northern Mariana Islands, and the U.S. Virgin Islands once each decade following the decennial census. Data users should not use ZCTAs to identify the official USPS ZIP Code for mail delivery. The USPS makes periodic changes to ZIP Codes to support more efficient mail delivery. The Census Bureau uses tabulation blocks as the basis for defining each ZCTA. Tabulation blocks are assigned to a ZCTA based on the most frequently occurring ZIP Code for the addresses contained within that block. The most frequently occurring ZIP Code also becomes the five-digit numeric code of the ZCTA. These codes may contain leading zeros. Blocks that do not contain addresses but are surrounded by a single ZCTA (enclaves) are assigned to the surrounding ZCTA. Because the Census Bureau only uses the most frequently occurring ZIP Code to assign blocks, a ZCTA may not exist for every USPS ZIP Code. Some ZIP Codes may not have a matching ZCTA because too few addresses were associated with the specific ZIP Code or the ZIP Code was not the most frequently occurring ZIP Code within any of the blocks where it exists. The generalized ZCTA boundaries in this file are based on those delineated following the 2010 Census.; abstract: The 2015 cartographic boundary shapefiles are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). These boundary files are specifically designed for small-scale thematic mapping. When possible, generalization is performed with the intent to maintain the hierarchical relationships among geographies and to maintain the alignment of geographies within a file set for a given year. Geographic areas may not align with the same areas from another year. Some geographies are available as nation-based files while others are available only as state-based files. ZIP Code Tabulation Areas (ZCTAs) are approximate area representations of U.S. Postal Service (USPS) ZIP Code service areas that the Census Bureau creates to present statistical data for each decennial census. The Census Bureau delineates ZCTA boundaries for the United States, Puerto Rico, American Samoa, Guam, the Commonwealth of the Northern Mariana Islands, and the U.S. Virgin Islands once each decade following the decennial census. Data users should not use ZCTAs to identify the official USPS ZIP Code for mail delivery. The USPS makes periodic changes to ZIP Codes to support more efficient mail delivery. The Census Bureau uses tabulation blocks as the basis for defining each ZCTA. Tabulation blocks are assigned to a ZCTA based on the most frequently occurring ZIP Code for the addresses contained within that block. The most frequently occurring ZIP Code also becomes the five-digit numeric code of the ZCTA. These codes may contain leading zeros. Blocks that do not contain addresses but are surrounded by a single ZCTA (enclaves) are assigned to the surrounding ZCTA. Because the Census Bureau only uses the most frequently occurring ZIP Code to assign blocks, a ZCTA may not exist for every USPS ZIP Code. Some ZIP Codes may not have a matching ZCTA because too few addresses were associated with the specific ZIP Code or the ZIP Code was not the most frequently occurring ZIP Code within any of the blocks where it exists. The generalized ZCTA boundaries in this file are based on those delineated following the 2010 Census.

Abstract (en): The data contain records of arrests and bookings for federal offenses in the United States during fiscal year 1998. The data were constructed from the United States Marshals Service (USMS) Prisoner Tracking System database. Records include arrests made by federal law enforcement agencies (including the USMS), state and local agencies, and self-surrenders. Offenders arrested for federal offenses are transferred to the custody of the USMS for processing, transportation, and detention. The Prisoner Tracking System contains data on all offenders within the custody of the USMS. The data file contains variables from the original USMS files as well as additional analysis variables, or "SAF" variables, that denote subsets of the data. These SAF variables are related to statistics reported in the Compendium of Federal Justice Statistics, Tables 1.1-1.3. Variables containing identifying information (e.g., name, Social Security Number) were replaced with blanks, and the day portions of date fields were also sanitized in order to protect the identities of individuals. These data are part of a series designed by the Urban Institute (Washington, DC) and the Bureau of Justice Statistics. Data and documentation were prepared by the Urban Institute. ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection: Created variable labels and/or value labels.. Federal offenders in the custody of the United States Marshals Service during fiscal year 1998. 2015-06-15 The data and documentation have been made available again.2013-10-30 DESC (Description of Offense) is blanked.2011-03-08 All parts are being moved to restricted access and will be available only using the restricted access procedures. Funding insitution(s): United States Department of Justice. Office of Justice Programs. Bureau of Justice Statistics. 08-27-20014 This study has been deaccessioned and is no longer available from ICPSR or NACJD.

description: The 2016 cartographic boundary KMLs are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). These boundary files are specifically designed for small-scale thematic mapping. When possible, generalization is performed with the intent to maintain the hierarchical relationships among geographies and to maintain the alignment of geographies within a file set for a given year. Geographic areas may not align with the same areas from another year. Some geographies are available as nation-based files while others are available only as state-based files. Metropolitan and Micropolitan Statistical Areas are together termed Core Based Statistical Areas (CBSAs) and are defined by the Office of Management and Budget (OMB) and consist of the county or counties or equivalent entities associated with at least one urban core (urbanized area or urban cluster) of at least 10,000 population, plus adjacent counties having a high degree of social and economic integration with the core as measured through commuting ties with the counties containing the core. Categories of CBSAs are: Metropolitan Statistical Areas, based on urbanized areas of 50,000 or more population; and Micropolitan Statistical Areas, based on urban clusters of at least 10,000 population but less than 50,000 population. The generalized boundaries in this file are based on those defined by OMB based on the 2010 Census, published in 2013, and updated in 2015.; abstract: The 2016 cartographic boundary KMLs are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). These boundary files are specifically designed for small-scale thematic mapping. When possible, generalization is performed with the intent to maintain the hierarchical relationships among geographies and to maintain the alignment of geographies within a file set for a given year. Geographic areas may not align with the same areas from another year. Some geographies are available as nation-based files while others are available only as state-based files. Metropolitan and Micropolitan Statistical Areas are together termed Core Based Statistical Areas (CBSAs) and are defined by the Office of Management and Budget (OMB) and consist of the county or counties or equivalent entities associated with at least one urban core (urbanized area or urban cluster) of at least 10,000 population, plus adjacent counties having a high degree of social and economic integration with the core as measured through commuting ties with the counties containing the core. Categories of CBSAs are: Metropolitan Statistical Areas, based on urbanized areas of 50,000 or more population; and Micropolitan Statistical Areas, based on urban clusters of at least 10,000 population but less than 50,000 population. The generalized boundaries in this file are based on those defined by OMB based on the 2010 Census, published in 2013, and updated in 2015.

Sources: U.S. Census Bureau; 2020 Census (P.L. 94-171) Redistricting Data Summary Files; (17 August 2021). U.S. Census Bureau; Census 2000, Summary File 1, Table DP-1; generated by CCRPC staff; using American FactFinder; http://factfinder2.census.gov; (30 December 2015). U.S. Census Bureau; Census 2010, Summary File 1, Table P1; generated by CCRPC staff; using American FactFinder; http://factfinder2.census.gov; (30 December 2015). U.S. Census Bureau; 1980 Census of Population, Volume 1: Characteristics of the Population, Chapter A: Number of Inhabitants, Part 15: Illinois, PC80-1-A15, Table 4, Population of County Subdivisions: 1960-1980. Department of Commerce and Labor Bureau of the Census; Thirteenth Census of the United States Taken in the Year 1910, Statistics for Illinois, Table 1. - Population of Minor Civil Divisions: 1910, 1900, and 1890.; https://www.census.gov/programs-surveys/decennial-census/decade/decennial-publications.1910.html; (23 August 2018). Department of Commerce Bureau of the Census; Fourteenth Census of the United States, State Compendium Illinois, Table 3. - Population of Incorporated Places: 1920, 1910, and 1900. https://www.census.gov/library/publications/1924/dec/state-compendium.html; (23 August 2018). U.S. Department of Commerce Bureau of the Census; Fifteenth Census of the United States: 1930, Population: Volume III, Reports by States, Illinois and Idaho, Tables 12, 22; https://www.census.gov/library/publications/1932/dec/1930a-vol-03-population.html; (23 August 2018). United States Department of Commerce Bureau of the Census, Sixteenth Census of the United States: 1940, Population: Volume 1, Number of Inhabitants, Total Population for States, Counties, and Minor Civil Divisions; for Urban and Rural Areas; for Incorporated Places; for Metropolitan Districts; and for Census Tracts; Tables 2, 5; https://www.census.gov/library/publications/1942/dec/population-vol-1.html.; (23 August 2018), U.S Department of Commerce Bureau of the Census; Census of Population: 1950, Volume I Number of Inhabitants, Table 7; https://www.census.gov/library/publications/1952/dec/population-vol-01.html; (23 August 2018).

Table NameAdministrative and Support and Waste Management and Remediation Services: Geographic Area Series: Summary Statistics for the U.S., States, Metro Areas, Counties, and Places: 2012ReleaseScheduleThe data in this file are scheduled for release on a flow basis starting in May 2015 and ending in December 2015.Key TableInformationThese data supersede preliminary data released in the Industry Series files for Administrative and Support and Waste Management and Remediation Services (Sector 56) 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 Administrative and Support and Waste Management and Remediation Services (Sector 56).GeographyCoverageThe data are shown at the United States, State, Combined Statistical Area, Metropolitan and Micropolitan Statistical Area, Metropolitan Division, Consolidated City, County (and equivalent), and Economic Place (and equivalent; incorporated and unincorporated) levels. New for 2012: The Economic Place criteria has changed from 5,000 population or jobs for the 2007 Economic Census to 2,500 population or jobs for 2012. Also, data for Non-Metro Areas is now published using Geographic Component Codes. See New for 2012 for more information about these changes. IndustryCoverageThe data shown vary by geography for 2- through 7-digit 2012 NAICS codes.Data ItemsandOtherIdentifyingRecordsThis file contains data on:EstablishmentsSalesAnnual payrollFirst-quarter payrollPaid employeesPercent of sales from administrative recordsPercent of sales estimatedFTP DownloadDownload the entire table athttps://www2.census.gov/econ2012/EC/sector56/EC1256A1.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.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 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.

Abstract

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 being 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 being conducted under the J&K Collection of Statistics Act, 2010 and rules framed there under in 2012.

ASI schedule is the basic tool to collect required data from the units selected for the survey. 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 manufactured, distributive expenses, 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 and water supply undertakings and an establishment in the case of bidi and cigar industries. The owner of two or more establishments located in the same state, same sector (bidi, factory or electricity) and pertaining to the same industry group (3-digit industry code) falling under the census scheme is, however, permitted to furnish a single consolidated return, termed as 'Joint Return (JR)'. Such consolidated returns are a common feature in the case of bidi and cigar establishments & electricity undertakings.

Universe

The Survey cover factories registered under the Factory Act 1948.

Sampling procedure

The sampling design adopted in ASI has undergone considerable changes from time to time, taking into account the technical and other requirements. From ASI 2015-16, a new sampling design is adopted following the recommendations of the Sub-Group of the SCIS under the Chairmanship of Dr. G.C. Manna and approved by the SCIS and the National Statistical Commission (NSC) subsequently. According to the new sampling design, all the units in the updated frame are divided into two parts - Central Sample and State Sample. The Central Sample consists of two schemes: Census and Sample. Under Census scheme, all the units are surveyed.

(1) Census Scheme: (i) All industrial units belonging to the seven less industrially developed States/ UTs viz. Arunachal Pradesh, Manipur, Meghalaya, Nagaland, Sikkim, Tripura and Andaman & Nicobar Islands. (ii) For the States/ UTs other than those mentioned in (i), (a) units having 75 or more employees from six States, namely, Jammu & Kashmir, Himachal Pradesh, Rajasthan, Bihar, Chhattisgarh and Kerala; (b) units having 50 or more employees from three States/UTs, namely, Chandigarh, Delhi and Puducherry; (c) units having 100 or more employees for rest of the States/UTs, not mentioned in (a) and (b) above and; (d) all factories covered under 'Joint Return' (JR), where JR should be allowed when the two or more units located in the same State/UT, same sector and belongto the same industry (3-digit level of NIC-2008) under the same management. (iii) After excluding the Census Scheme units in the above manner, all units belonging to the strata (State x District x Sector x 3 digit NIC-2008) having less than or equal to 4 units are also considered under Census Scheme. It may be noted that strata are separately formed under three sectors considered as Bidi, Manufacturing and Electricity. (2) All the remaining units in the frame are considered under Sample Scheme. For all the states, each stratum is formed on the basis of State x District x Sector x 3-digit NIC-2008. The units are arranged in descending order of their total number of employees. Samples are drawn using Circular Systematic Sampling technique for this scheme. An even number of units with a minimum of 4 units are selected and distributed in four sub-samples. It may be noted that in certain cases each of 4 sub-samples from a particular stratum may not have equal number of units. (3) Out of these 4 sub-samples, two pre-assigned sub-samples (1 & 3) are given to NSSO (FOD) and the other two-subsamples (2 & 4) are given to concerned State/UT for data collection. (4) Allcensus units plus all the units belonging to the two sub-samples given to NSSO (FOD) are treated as the Central Sample. (5) All census units plus all the units belonging to the two sub-samples given to State/UT are treated as the State Sample. Hence, State/UT has to use Census Units (collected by NSSO (FOD) and processed by CSO (IS Wing)) along with their sub-samples while deriving the state level estimates for their respective State/UT based on State Sample. (6) All census units plus all the units belonging to the two sub-samples given to NSSO (FOD) plus all the units belonging to the two sub-samples given to State/UT are required for obtaining pooled estimates based on Central Sample and State Sample with increased sample size.

Mode of data collection

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

description: County subdivisions are the primary divisions of counties and their equivalent entities for the reporting of Census Bureau data. They include legally-recognized minor civil divisions (MCDs) and statistical census county divisions (CCDs), and unorganized territories. For the 2010 Census, the MCDs are the primary governmental and/or administrative divisions of counties in 29 States and Puerto Rico; Tennessee changed from having CCDs for Census 2000 to having MCDs for the 2010 Census. In MCD States where no MCD exists or is not defined, the Census Bureau creates statistical unorganized territories to complete coverage. The entire area of the United States, Puerto Rico, and the Island Areas are covered by county subdivisions. The boundaries of most legal MCDs are as of January 1, 2015, as reported through the Census Bureau's Boundary and Annexation Survey (BAS). The boundaries of all CCDs, delineated in 20 states, are those as reported as part of the Census Bureau's Participant Statistical Areas Program (PSAP) for the 2010 Census.; abstract: County subdivisions are the primary divisions of counties and their equivalent entities for the reporting of Census Bureau data. They include legally-recognized minor civil divisions (MCDs) and statistical census county divisions (CCDs), and unorganized territories. For the 2010 Census, the MCDs are the primary governmental and/or administrative divisions of counties in 29 States and Puerto Rico; Tennessee changed from having CCDs for Census 2000 to having MCDs for the 2010 Census. In MCD States where no MCD exists or is not defined, the Census Bureau creates statistical unorganized territories to complete coverage. The entire area of the United States, Puerto Rico, and the Island Areas are covered by county subdivisions. The boundaries of most legal MCDs are as of January 1, 2015, as reported through the Census Bureau's Boundary and Annexation Survey (BAS). The boundaries of all CCDs, delineated in 20 states, are those as reported as part of the Census Bureau's Participant Statistical Areas Program (PSAP) for the 2010 Census.

description: The TRI National Analysis is EPA's annual interpretation of TRI data at various summary levels. It highlights how toxic chemical wastes were managed, where toxic chemicals were released and how the 2015 TRI data compare to data from previous years. This dataset reports US state, county, large aquatic ecosystem, metro/micropolitan statistical area, and facility level statistics from 2015 TRI releases, including information on: number of 2015 TRI facilities in the geographic area and their releases (total, water, air, land); population information, including populations living within 1 mile of TRI facilities (total, minority, in poverty); and Risk Screening Environmental Indicators (RSEI) model related pounds, toxicity-weighted pounds, and RSEI score. The source of administrative boundary data is the 2013 cartographic boundary shapefiles. Location of facilities is provided by EPA's Facility Registry Service (FRS). Large Aquatic Ecosystems boundaries were dissolved from the hydrologic unit boundaries and codes for the United States, Puerto Rico, and the U.S. Virgin Islands. It was revised for inclusion in the National Atlas of the United States of America (November 2002), and updated to match the streams file created by the USGS National Mapping Division (NMD) for the National Atlas of the United States of America.; abstract: The TRI National Analysis is EPA's annual interpretation of TRI data at various summary levels. It highlights how toxic chemical wastes were managed, where toxic chemicals were released and how the 2015 TRI data compare to data from previous years. This dataset reports US state, county, large aquatic ecosystem, metro/micropolitan statistical area, and facility level statistics from 2015 TRI releases, including information on: number of 2015 TRI facilities in the geographic area and their releases (total, water, air, land); population information, including populations living within 1 mile of TRI facilities (total, minority, in poverty); and Risk Screening Environmental Indicators (RSEI) model related pounds, toxicity-weighted pounds, and RSEI score. The source of administrative boundary data is the 2013 cartographic boundary shapefiles. Location of facilities is provided by EPA's Facility Registry Service (FRS). Large Aquatic Ecosystems boundaries were dissolved from the hydrologic unit boundaries and codes for the United States, Puerto Rico, and the U.S. Virgin Islands. It was revised for inclusion in the National Atlas of the United States of America (November 2002), and updated to match the streams file created by the USGS National Mapping Division (NMD) for the National Atlas of the United States of America.

This study contains an assortment of data files relating to the electoral and demographic history of New York State. Part 1, Mortality Statistics of the Seventh Census, 1850: Place of Birth for United States Cities, contains counts of persons by place of birth for United States cities as reported in the 1850 United States Census. Place of birth is coded for states and for selected foreign countries, and percentages are also included. Part 2, Selected Tables of New York State and United States Censuses of 1835-1875: New York State Counties, contains data from the New York State Censuses of 1835, 1845, 1855, 1865, and 1875, and includes data from the United States Censuses of 1840 and 1850. The bulk of the tables concern church and synagogue membership. The tables for 1835 and 1845 include counts of persons by sex, legal male voters, alien males, not taxed Colored, taxed Colored, and taxed Colored can vote. The 1840 tables include total population, employment by industry, and military pensioners. The 1855 tables provide counts of persons by place of birth. Part 3, New York State Negro Suffrage Referenda Returns, 1846, 1860, and 1869, by Election District, contains returns for 28 election districts on the issue of Negro suffrage, with information on number of votes for, against, and total votes. Also provided are percentages of votes for and against Negro suffrage. Part 4, New York State Liquor License Referendum Returns, 1846, Town Level, contains returns from the Liquor License Referendum held in May 1846. For each town the file provides total number of votes cast, votes for, votes against, and percentage of votes for and against. The source of the data are New York State Assembly Documents, 70 Session, 1847, Document 40. Part 5, New York State Censuses of 1845, 1855, 1865, and 1875: Counts of Churches and Church Membership by Denomination, contains counts of churches, total value of church property, church seating capacity, usual number of persons attending church, and number of church members from the New York State Censuses of 1845, 1855, 1865, and 1875. Counts are by denomination at the state summary level. Part 6, New York State Election Returns, Censuses, and Religious Censuses: Merged Tables, 1830-1875, Town Level, presents town-level data for the elections of 1830, 1834, 1838, 1840, and 1842. The file also includes various summary statistics from the New York State Censuses of 1835, 1845, 1855, and 1865 with limited data from the 1840 United States Census. The data for 1835 and 1845 include male eligible voters, aliens not naturalized, non-white persons not taxed, and non-white persons taxed. The data for 1840 include population, employment by industry, and military service pensioners. The data for 1845 cover total population and number of males, place of birth, and churches. The data for 1855 and 1865 provide counts of persons by place of birth, number of dwellings, total value of dwellings, counts of persons by race and sex, number of voters by native and foreign born, and number of families. The data for 1865 also include counts of Colored not taxed and data for churches and synagogues such as number, value, seating capacity, and attendance. The data for 1875 include population, native and foreign born, counts of persons by race, by place of birth, by native, by naturalized citizens, and by alien males aged 21 and over. Part 7, New York State Election Returns, Censuses, and Religious Censuses: Merged Tables, 1844-1865, Town Level, contains town-level data for the state of New York for the elections of 1844 and 1860. It also contains data for 1850 such as counts of persons by sex and race. Data for 1855 includes counts of churches, value of churches and real estate, seating capacity, and church membership. Data for 1860 include date church was founded and source of that information. Also provided are total population counts for the years 1790, 1800, 1814, 1820, 1825, 1830, 1835, 1845, 1856, 1850, 1855, 1860, and 1865. (ICPSR 3/16/2015)

Abstract

PCBS allocates particular attention to the Youth Survey because of the different definition of youth age group in studies. Some define youth as the age group (10-24 years) whereas others define them as the age group (15-29 years). In both definitions, youth constitute the largest segment of the Palestinian society. In addition to being the bulk of the society, youth are a vital strength with non-ignorable potential. They are the tenets of the future and the wealth of the nation that overweighs any other sources. Youth are the agent of change in the society. At this state, planning begins to fulfill societal needs in future skills and competences.

Geographic coverage

Palestine

Analysis unit

individual/ Household

Universe

It consists all the individuals in the age group 15-29 years old and living with their households normally in the State of Palestine in 2015.

Kind of data

Sample survey data [ssd]

Sampling procedure

The sampling frame consists of all enumeration areas which were enumerated in 2007, each numeration area consists of buildings and housing units with average of about 124 households in it. These enumeration areas are used as primary sampling units( PSUs) in the first stage of the sampling selection. The sample is three stage stratified cluster (pps) sample:

First stage: selection a stratified sample of 321 EA with (pps) method.

Second stage: selection a random area sample of 25 households from each enumeration area selected in the first stage, the selection starts from a random point in the enumeration area (building number), Where include cases of non-responding households, and the responsive households where the age group 15-29 years is not available, and the responsive households where the age group 15-29 years is available.

Third stage: we selected one person in the household of the( 15-29) age group in a random method by using Kish tables, so that the sex of the person chosen by the serial questionnaire number in the EA sample, if an odd number we select male person and if even number we select female person.

Sample strata: The population was divided by: 1- Governorate (17 governorates) 2- Type of Locality (urban, rural, refugee camps)

Mode of data collection

Face-to-face [f2f]

Research instrument

he Survey comprised two questionnaires: Family questionnaire: The questionnaire included detailed questions on the demographic, social, educational, professional and matrimonial characteristics of family members in addition to data on housing and identification of youth eligible for the interviews.

Youth Survey (15-29 years), which including the following sections: · Education (educational experience in different stages, assessment of educational stages, characteristics of youth enrolled in education, level of satisfaction with the learning experience) · Work and pay (employment status, characteristics of employed people, characteristics of unemployed people, entrepreneurship, financial status and savings) · Emigration (trends of emigration to other countries, emigration of friends and relatives, emigration experience) · Matrimonial and health status (spouses relation, matters related to housing, gender roles, public health, nutrition, mental health, social communication, sports and exercising, HIV awareness, life satisfaction, sexual and reproductive health) · Social participation (volunteer activities, community outreach, friends, family support, social values, political participation and future aspirations, Internet and social media)

Cleaning operations

· During this phase, a data-entry program was prepared using Oracle. Amendments were introduced to the entry screens to set entry bases in a manner that guarantees proper entry of all questionnaires and queries for data cleansing after entry. The queries test variables at questionnaire level. · At this stage, questionnaires were received from fieldwork coordinator using the template prepared for this purpose. The officer in charge controls the questionnaires to ensure they are all received using the template prepared for this purpose. · Entry and cleansing of data took place in the period from 31 August 2015 to 29 November 2015.

Response rate

The response rate in the West Bank reached 94.9 % while in Gaza Strip it reached 97.2%. The response rate in Palestine reached 95.7 %

Sampling error estimates

Data of this survey affected by sampling errors due to use of the sample and not a complete enumeration. Therefore, certain differences are expected in comparison with the real values obtained through censuses. Variance were calculated for the most important indicators, the variance table is attached with the final report. There is no problem to disseminate results at the national level and governorate level.

Data appraisal

Non-sampling errors are probable in all stages of the project, during data collection or processing. This is referred to as non-response errors, response errors, interviewing errors, and data entry errors. To avoid errors and reduce their effects, great efforts were made to train the fieldworkers intensively. They were trained in how to carry out the interview, what to discuss and what to avoid, carrying out a pilot survey and practical and theoretical training during the training course. Also data entry staff was trained on the entry program that was examined before starting the data entry process. Continuous contacts with the fieldwork team were maintained through regular visits to the field and regular meetings during the different field visits. Problems faced by fieldworkers were discussed to clarify issues and provide relevant instructions.

The implementation of the survey encountered non-response where the case (Refused to cooperate) during the fieldwork visit become the high percentage of the non response cases which reached 1.6% which is low percentage compared to the household surveys conducted by PCBS, and the reason is the clear questionnaire and the experience of the fieldwork. The lowest value of response rate reached 92.7% in the middle of west bank, and The highest value of response rate reached 98.5% in the south of west bank.

Abstract

Geostat conducted Census of Agriculture 2014 in accordance with the World Programme of Agricultural Censuses 2006-2015 recommended by the Food and Agriculture Organization (FAO). The census was based on the FAO methodology. Statistics experts of FAO and the United States Department of Agriculture (USDA) were actively engaged at every stage of the census process. At the first stage, in November 2014, together with Population Census there was conducted Census of Agriculture for households. In addition to this, in spring 2015 there was conducted Census of Agriculture for legal entities. As a result, the census covered all agricultural holdings in the country (on the territory controlled by the Government of Georgia) – all households and legal entities, who, as of October 1, 2014, were owning or temporarily operating agricultural land, livestock, poultry, beehive or permanent crop (agricultural), regardless the fact whether there was produced any kind of agricultural product or not during the reference year. The census provided diverse information about agriculture of Georgia such is structure and use of land operated by holdings, livestock, poultry and beehive numbers.

Geographic coverage

National coverage

Analysis unit

Households

Universe

The main statistical unit was the agricultural holding, defined as an economic unit engaged in agricultural production under single management without regard to size and legal status. An economic unit that operates agricultural land or permanent crop trees, but that during the reference year has no agricultural production, is also considered an agricultural holding. As the AC 2014 data collection for the agricultural holdings in the household sector was carried out jointly with the GPC, the common statistical unit was the agricultural production household. Two types of agricultural holdings were distinguished: family holdings and agricultural enterprises.

Kind of data

Census/enumeration data [cen]

Sampling procedure

(a) Frame In 2013, Geostat conducted preliminary fieldwork to establish the list of dwellings and households existing in Georgia. The information received from the preliminary fieldwork was used to update and finalize the census frame for data collection. For agricultural enterprises, to ensure full coverage of the list of potential agricultural enterprises, all existing reliable sources in the country were used.

Mode of data collection

Face-to-face [f2f]

Research instrument

One questionnaire was used for the AC 2014 data collection, in both paper and electronic format covering:

• Household roster
• Number of Holdings
• Structure of the Land Operated by Holdings
• Agricultural Land and Its Use
• Arable Land
• Permanent Crops
• Orchards
• Vineyards
• Livestock and Poultry

The AC 2014 questionnaire covered 15 of the 16 core items recommended for the WCA 2010 round. The following item was not covered: "Other economic production activities of the holding's enterprise".

Cleaning operations

(a) DATA PROCESSING AND ARCHIVING For several months after the census enumeration, approximately 300 people worked on the digitalization of census data. They were permanently supervised by IT and other technical staff. In parallel, digitized questionnaires were compared with paper questionnaires by editors. Finally, data were cleaned by the appropriate division at the central office of Geostat. The data cleaning process used several methods. Data relating to large holdings were verified by telephone calls. In addition, different reliable sources (registers) were used to fill in missing data. Furthermore, donor imputation was used to fill in the missing values. For tabulation, a special software was prepared by Geostat. Geostat implemented a microdata archiving system to save the census data.

(b) CENSUS DATA QUALITY Geostat conducted a PES to assess the quality of the AC. During the fieldwork, Geostat used a six-level control system, which involved the following categories of census staff: field work coordinator, regional coordinator, municipal supervisor, sector supervisor, instructor-coordinator and enumerator.

Abstract

The Namibia Household Income and Expenditure Survey (NHIES) 2015/2016 edition is the fourth of its kind to be executed in Namibia and the first to be carried out by the Namibia Statistics Agency (NSA) as per its first Strategic plan for the period of 2012/2013 to 2016/2017.

The NHIES is a household based survey, designed to collect data on income and expenditure patterns of households and the sole source of information on income and expenditure in the country. Therefore, institutions did not form part of this survey. Data from the NHIES is used to compute poverty indicators at household and individual levels. The survey also serves as a statistical framework for compiling the national basket items for the compilation of price indices used in the calculation of inflation. It also forms the basis for updating prices or rebasing of national accounts.

The implementation of NHIES 2015/16 was financed by the Government of the Republic of Namibia through the Ministry of Economic Planning sectoral budget. Technical support in the area of data processing, for example, the development of data entry and listing applications was provided by experts from the United States Census Bureau through funding by USAID. In addition, experts from the World Bank (WB) provided technical expertise for during data analysis and sampling.

The main objective of the Namibia Household Income and Expenditure Survey (NHIES 2015/2016) is to provide data to measure the levels of living of the population of Namibian, for example, using actual patterns of consumption and income, as well as a range of other socio-economic indicators. Statistical information from this survey will inform planning and policy making processes at national, regional and international levels in particular the implementation of Fifth National Development Plan, SADC agenda, AU Agenda 2063 and Sustainable Development Goals (SDGs). The NHIES was designed to provide policy makers with reliable, up to date and quality statistics at national, regional levels as well as rural urban disaggregated statistics for planning and decision making purposes. A representative sample of 10368 households from 864 primary sampling units (PSUs) was selected for the survey. Data was collected over a twelve months period consisting of twenty two survey rounds.

After data processing, 10090 out of 10368 sampled households were used for analysis..

Geographic coverage

The survey was national and covered representative samples from all 14 regions to allow for regional, and urban and rural disaggregation at regional and national levels.

Due to financial constraints the survey was not able to collect data at levels lower than regions, although it was desirable to do so.

The NHIES is a household based exercise which excludes institutional population such as those living in army barracks, prisons, hospitals, hostels and the likes. However, private households in those institutions if selected were covered in the survey.

Analysis unit

Unit of analysis in the survey is private households and individuals.

Universe

The survey was national and covered representative samples from all 14 regions to allow for regional, and urban and rural disaggregation at regional and national levels.

Due to financial constraints the survey was not able to collect data at levels lower than regions, although it was desirable to do so.

The NHIES is a household based exercise which excludes institutional population such as those living in army barracks, prisons, hospitals, hostels and the like. However, private households in those institutions if selected were covered in the survey.

Kind of data

Sample survey data [ssd]

Sampling procedure

The design of the NHIES 2015/2016 differs in comparison to previous NHIES undertakings. One such variation appears in the reduction of the number of households selected from the sampled primary sampling units (PSUs). This was done to increase the geographical coverage and by so doing increase the precision level of survey estimates. 16 Namibia Household Income and Expenditure Survey (NHIES) 2015/2016 Report

Survey Methodology The number of households to be covered in each PSU have been reduced from 20 in previous NHIES to 12. This procedure increased the total number of PSUs sampled, from 500 in previous NHIES to 864 while keeping the overall sample households fixed. Similarly, the collection period of food transactions such as tobacco, beverage and food items in the households has also been reduced from 28 days in previous NHIES to 7 days. This new survey methodology was adopted to increase the precision of indicators without significant impact on costs as well as to reduce the time interviewers spend in households thereby reducing the burden of response fatigue.

Target population and the survey population The target population for the NHIES 2015/2016 was the non-institutional population residing in private households in Namibia. The Institutional population were out of scope for NHIES 2015/2016, however private households found within institutions were included in the target population. In addition, people who were homeless or those who usually reside in those private households, but were in hospital, prison and school hostels during the time of data collection were not eligible for NHIES 2015/2016. Table 2.1 below presents the list of institutional population, which were excluded, from the NHIES 2015/2016.

Sampling frame The primary sampling frame used for this survey is a list of Primary sampling Units (PSUs) based on the 2011 Population and Housing Census Enumeration Areas (EAs). A PSU can be one EA, part of an EA or more than one EA. A secondary sampling frame for each of the selected PSUs was created for the purpose of selecting the sample households through a listing procedure.

The sampling design The sample design for the survey was a stratified two-stage cluster sample, where the first stage units were geographical areas designated as the Primary Sampling Units (PSUs) and the second stage units were the households. The up-to-date list of households in the selected PSU were prepared during the listing stage of fieldwork, and 12 households were systematically selected in each PSUs.

The primary sample frame was stratified first by region followed by urban and rural areas within region. The Urban/rural strata were further stratified implicitly by constituencies. The rural strata were also further stratified implicitly taking into consideration the proclaimed villages, settlements within the rural strata. Once this step was carried out the remaining PSUs in rural strata were implicitly stratified into communal and commercial farming areas. The PSUs within each of these areas were also geographically arranged.

The households in the secondary frame constitute a list of all households for each selected PSU were listed generally following a geographic order. Additional information was collected from the PSUs in the commercial farming areas for the purpose of carrying out further stratification before selecting sample households.

Sample selection The first stage sample of PSUs was selected from the sampling frame using the probability proportional to size (PPS) sampling together with systematic sampling procedure. Once the PSUs were selected a listing operation was carried out to prepare a fresh list of households then 12 households were selected from the list of households (implicitly stratified) using a systematic sampling procedure. Selection of the sample households were carried out using a CSPro based sampling application.

Substitution of non-responding households The survey was divided into four quarters and each quarter was further divided into survey rounds. During each survey round, some selected households did not respond to the survey as a result of non-contacts and/or refusals. If one household did not respond in a PSU this case was accepted as non-response. On the other hand if two or more non-responding households were encountered, then such households were replaced with households from a fresh selection in the same PSU. The replacement households were randomly selected using the CSPro based sampling application, designed to consider households with similar characteristics to the original selected households.

The NHIES sample distribution The overall sample size was calculated to give reliable estimates of different characteristics at regional level as the lowest domain of estimation. The estimates of the characteristics for all other domains above the regional level will have better precision than the regions. The total sample size was 10368 households. A sample of 12 households were selected within each selected PSU from a freshly prepared list of households just before the interview. The total number of sampled PSUs was 864.

The survey needed to cover seasonal variations in different characteristics and therefore was carried out throughout the year. The survey year consists of four quarters, divided into survey rounds, which were 24 in total. Each survey round was made up of 15 days that a household was required to participate in the survey. The 864 PSUs were randomly allocated to the 24 survey rounds so that the sample selected for each round yield a representative sample at national level. Some adjustments were done when the allocated PSUs were drawn from the same stratum. Hence each survey round covered 36 PSUs that consisted of 432 households.

Sample Realization The data collection process was followed by the verification of the number of households and PSUs received against the actual sample. This was then followed by structural editing process to ensure completeness of information and once this exercise was

Abstract

The Kazakhstan Multiple Indicator Cluster Survey (MICS) was conducted in 2015 by the Statistics Committee of the Ministry of National Economy of the Republic of Kazakhstan (herein MNE RK).

This is the third MICS Survey in Kazakhstan. The findings from these surveys were used in development and implementation of state programmes in the areas of mother and child health, as well as country programmes of the United Nation Children’s Fund (UNICEF) in Kazakhstan, highlighting the need to improve the statistical data management system with regard to children. Such surveys are crucially important in terms of assessing the state of children and women in Kazakhstan as they provide unique information for development of the national child-centred policy and for international positioning of Kazakhstan. The survey provides statistically sound and internationally comparable data essential for development of evidence base and programmes, and for monitoring country progress towards national goals and global (international) commitments. Among these global commitments are those emanating from international agreements - the World Fit for Children Declaration and its Plan of Action, the goals of the United Nations General Assembly Special Session on HIV/AIDS, the Education for All Declaration and the Millennium Development Goals (MDGs). In addition, the 2015 Kazakhstan MICS results will contribute to establishing a baseline for monitoring the state of women and children in the context of the Sustainable Development Goals (SDGs).

OBJECTIVES

• To provide up-to-date information for assessing the situation of children and women in the Republic of Kazakhstan;

• To collect information that will help to improve national policies in the area of childhood and motherhood protection;

• To generate data for the critical assessment of the progress made in various areas, and to put additional efforts in areas that require more attention;

• To collect disaggregated data for the identification of disparities, to allow for evidence based policy-making aimed at social inclusion of the most vulnerable;

• To validate data from other sources and the results of focused interventions;

• To contribute to the generation of baseline data for the post-2015 agenda;

• To contribute to the improvement of data and monitoring systems in the Republic of Kazakhstan and to strengthen technical expertise in the design and implementation of such systems as well as in a better analysis of available data.

Geographic coverage

National level, for urban and rural areas, and for 16 administrative districts (14 regions and 2 cities) of the country: Akmola, Aktobe, Almaty oblast, Atyrau, West Kazakhstan, Zhambyl, Karaganda, Kostanai, Kyzylorda, Mangistau, South Kazakhstan, Pavlodar, North Kazakhstan and East Kazakhstan regions, and two large cities Astana and Almaty. Urban and rural areas in each of the 14 regions and 2 large cities of republican significance - Astana and Almaty - were defined as the sampling strata.

Analysis unit

• Individuals

• Households

Universe

All de jure household members (usual residents), all women aged 15-49 years and all children under 5.

Kind of data

Sample survey data [ssd]

Sampling procedure

The database and cartographic materials of the 2009 National Population Census (2009 Census) in the Republic of Kazakhstan were used in the process forming the sampling frame. The census enumeration areas (EAs) formed for the Census were used as the primary sampling units (PSUs).

The urban and rural areas within each region were identified as the main sampling strata and the sample was selected in two stages. In total, 30 strata were formed - 16 urban including two large cities and 14 rural. At the first sampling stage within each stratum, 840 census enumeration areas were selected systematically with probability proportional to size. At the second sampling stage, upon conducting a household listing within the selected enumeration areas, a random systematic sample of 20 households was drawn in each sample enumeration area, for a total sample size of 16,800 households.

Out of 840 clusters, which were liable for verification, cluster #338, located in the Karaganda region, was inaccessible due to the fact that this territory is under a long-term lease to the Russian Federation and thus under its jurisdiction.

The sample was stratified by region, urban and rural areas, and is not self-weighted. The sample weights are used for reporting nationally representative results. A more detailed description of the sample design can be found in the Final Report (Appendix A, Sample Design) attached as Related Material.

Mode of data collection

Face-to-face [f2f]

Research instrument

Three sets of questionnaires were used in the survey: 1) a household questionnaire which was used to collect basic demographic information on all de jure household members (usual residents), the household, and the dwelling; 2) a questionnaire for individual women administered in each household to all women aged 15-49 years; and 3) an under-5 questionnaire, administered to mothers (or primary caretakers) of all children under 5 living in the household that included a form for collecting vaccination records at Health Facilities for children under 3.

The Fertility module was included in order to be able to calculate indicators concerning total fertility rate and adolescent birth rate. From the onset, it was decided that childhood mortality indicators will not be calculated on the basis of this survey. Following the 2013 UN Inter-agency Group for Child Mortality Estimation (IGME) mission to Kazakhstan, which assessed that the official registration of births and deaths of children aged 0 to 5 years in the country was in line with international standards, the government made a decision to use infant and child mortality data generated by the official statistics, taking into account the adjustments of the IGME.

The Questionnaire for Children Under Five was administered to mothers (or primary caretakers) of children under 5 years of age living in the households. Normally, the questionnaire was administered to mothers of under-5 children; in cases when the mother was not listed in the household roster, a primary caretaker for the child was identified and interviewed.

An additional form was used for all children aged 0-2 years with a completed Questionnaire for Children Under Five, the Appendix for Data Collection at Health Facility About Immunization, to record vaccinations from the registries at health facilities.

The questionnaires are based on the MICS5 model questionnaires. From the MICS5 model English and Russian versions, the questionnaires were customised for 2015 Kazakhstan MICS and translated into the Kazakh language. The questionnaires in the Kazakh and Russian languages were pre-tested in Astana city and in the urban and rural settlements of Karaganda region in May 2015. Based on the results of the pre-test, modifications were made to the wording and translation of the questionnaires. A copy of the 2015 Kazakhstan MICS questionnaires is provided as Related Material.

In addition to the administration of questionnaires, fieldwork teams tested salt used for cooking in the households for iodine content, observed the place for handwashing, and measured the weight and height of children under 5 years of age.

Cleaning operations

Data entry was done using the CSPro software, Version 5.0. The data entry was done on 10 desktop computers by 10 data entry operators and overseen by 2 office editors (questionnaire administrator and data entry editor), as well as by one data entry supervisor. For quality assurance purposes, all questionnaires were entered twice and internal consistency checks were performed. Procedures and standard programmes developed under the global MICS programme and adapted to the 2015 Kazakhstan MICS questionnaires were used throughout. Data processing began in parallel with data collection on 15 September and was completed in December 2015. Data was analysed using the Statistical Package for Social Sciences (SPSS) software, Version 21. Model syntaxes and tabulation plans developed by UNICEF were customized and used for this purpose.

Response rate

Of the 16,791 households in the sample, 16,605 households were inhabited. Of these, 16,500 households were successfully interviewed: the proportion of interviewed households amounted to 99.4 percent. 12,910 women aged 15-49 years were identified in the interviewed households, of which 12,670 women were successfully interviewed: the proportion of female respondents in interviewed households was 98.1 percent. The list of household members in the household Questionnaire identified 5,561 children under 5. Questionnaires were completed for 5,510 children, which corresponds to 99.1 percent response rate for the interviewed households.

The household response rates in urban and rural areas were more than 99 percent, and by regions - more than 98 percent.

Sampling error estimates

The sample of respondents selected in the Multiple Indicator Cluster Survey - 2015 Kazakhstan MICS - is only one of the samples that could have been selected from the same population, using the same design and size. Each of these samples would yield results that differ somewhat from the results of the actual sample selected. Sampling errors are a measure of the variability between the estimates from all possible samples. The extent of variation or variability is not known exactly, but can be estimated statistically from the survey data.

The following sampling

The “ALFS Summary tables” dataset is a subset of the Annual Labour Force Statistics database which presents annual labour force statistics for OECD member countries, Brazil and 4 geographical areas (Major Seven, Euro zone, European Union and OECD-Total).

Data are presented in thousands of persons, in percentage or as indices with base year 2015=100.

Annual data in this dataset are typically calculated as averages of infra-annual estimates. This can lead to differences with annual data published by National Statistics Institutes.

This dataset contains estimates from the OECD for the latest years when countries did not provide data. These estimates are necessary to compile aggregated statistics for the geographical areas for a complete span of time.

Since 2003, employment data by sector for the United States are compiled following the North American Industrial Classification System (NAICS); therefore they are not strictly comparable with other countries’ data.