100+ datasets found
  1. o

    Nigeria Census Data - Dataset - openAFRICA

    • open.africa
    Updated Dec 4, 2017
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    (2017). Nigeria Census Data - Dataset - openAFRICA [Dataset]. https://open.africa/dataset/nigeria-census-data
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    Dataset updated
    Dec 4, 2017
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Nigeria
    Description

    This dataset shows census data for Nigeria from government data sources and the World Bank data portal.

  2. d

    Global Demographic data | Census Data for Marketing & Retail Analytics |...

    • datarade.ai
    .csv
    Updated Oct 17, 2024
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    GeoPostcodes (2024). Global Demographic data | Census Data for Marketing & Retail Analytics | Consumer Demographic Data [Dataset]. https://datarade.ai/data-products/geopostcodes-population-data-demographic-data-55-year-spa-geopostcodes
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    .csvAvailable download formats
    Dataset updated
    Oct 17, 2024
    Dataset authored and provided by
    GeoPostcodes
    Area covered
    Romania, Luxembourg, Tokelau, Sint Maarten (Dutch part), Ecuador, Rwanda, South Georgia and the South Sandwich Islands, Kosovo, Saint Martin (French part), Western Sahara
    Description

    A global database of Census Data that provides an understanding of population distribution at administrative and zip code levels over 55 years, past, present, and future.

    Leverage up-to-date census data with population trends for real estate, market research, audience targeting, and sales territory mapping.

    Self-hosted commercial demographic dataset curated based on trusted sources such as the United Nations or the European Commission, with a 99% match accuracy. The global Census Data is standardized, unified, and ready to use.

    Use cases for the Global Census Database (Consumer Demographic Data)

    • Ad targeting

    • B2B Market Intelligence

    • Customer analytics

    • Real Estate Data Estimations

    • Marketing campaign analysis

    • Demand forecasting

    • Sales territory mapping

    • Retail site selection

    • Reporting

    • Audience targeting

    Census data export methodology

    Our consumer demographic data packages are offered in CSV format. All Demographic data are optimized for seamless integration with popular systems like Esri ArcGIS, Snowflake, QGIS, and more.

    Product Features

    • Historical population data (55 years)

    • Changes in population density

    • Urbanization Patterns

    • Accurate at zip code and administrative level

    • Optimized for easy integration

    • Easy customization

    • Global coverage

    • Updated yearly

    • Standardized and reliable

    • Self-hosted delivery

    • Fully aggregated (ready to use)

    • Rich attributes

    Why do companies choose our demographic databases

    • Standardized and unified demographic data structure

    • Seamless integration in your system

    • Dedicated location data expert

    Note: Custom population data packages are available. Please submit a request via the above contact button for more details.

  3. i

    National Population Housing Census 1971 - IPUMS Subset - Greece

    • catalog.ihsn.org
    • datacatalog.ihsn.org
    • +1more
    Updated Mar 29, 2019
    + more versions
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    National Statistical Service of Greece (2019). National Population Housing Census 1971 - IPUMS Subset - Greece [Dataset]. http://catalog.ihsn.org/index.php/catalog/5353
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    Dataset updated
    Mar 29, 2019
    Dataset provided by
    Minnesota Population Center
    National Statistical Service of Greece
    Time period covered
    1971
    Area covered
    Greece
    Description

    Abstract

    IPUMS-International is an effort to inventory, preserve, harmonize, and disseminate census microdata from around the world. The project has collected the world's largest archive of publicly available census samples. The data are coded and documented consistently across countries and over time to facillitate comparative research. IPUMS-International makes these data available to qualified researchers free of charge through a web dissemination system.

    The IPUMS project is a collaboration of the Minnesota Population Center, National Statistical Offices, and international data archives. Major funding is provided by the U.S. National Science Foundation and the Demographic and Behavioral Sciences Branch of the National Institute of Child Health and Human Development. Additional support is provided by the University of Minnesota Office of the Vice President for Research, the Minnesota Population Center, and Sun Microsystems.

    Geographic coverage

    National coverage

    Analysis unit

    UNITS IDENTIFIED: - Dwellings: Yes - Vacant units: No - Households: Yes - Individuals: Yes - Group quarters: Not available in microdata sample - Special populations: No

    UNIT DESCRIPTIONS: - Dwellings: Separated space with independent access that serves as a human lodging - Households: Individuals living in the same dwelling and sharing at least one meal. - Group quarters: Group of persons who share a common roof and food because of work, health, religion, etc.

    Universe

    The entire population of the country, including all households and dwellings.

    Kind of data

    Census/enumeration data [cen]

    Sampling procedure

    MICRODATA SOURCE: National Statistical Service of Greece

    SAMPLE DESIGN: Systematic Sampling (random start, then 1 out of every 2.5 private households from the processed 25% households) by MPC.

    SAMPLE UNIT: Household

    SAMPLE FRACTION: 10%

    SAMPLE UNIVERSE: Microdata are available for 25% of the population.

    SAMPLE SIZE (person records): 845,473

    Mode of data collection

    Face-to-face [f2f]

    Research instrument

    P1 for private households

    Response rate

    COVERAGE: 100%

  4. International Census Data

    • console.cloud.google.com
    Updated Nov 19, 2019
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    https://console.cloud.google.com/marketplace/browse?filter=partner:United%20States%20Census%20Bureau&inv=1&invt=Ab1B8Q (2019). International Census Data [Dataset]. https://console.cloud.google.com/marketplace/product/united-states-census-bureau/international-census-data
    Explore at:
    Dataset updated
    Nov 19, 2019
    Dataset provided by
    Googlehttp://google.com/
    Description

    The United States Census Bureau’s international dataset provides estimates of country populations since 1950 and projections through 2050. Specifically, the dataset includes midyear population figures broken down by age and gender assignment at birth. Additionally, time-series data is provided for attributes including fertility rates, birth rates, death rates, and migration rates. Note: The U.S. Census Bureau provides estimates and projections for countries and areas that are recognized by the U.S. Department of State that have a population of at least 5,000. This public dataset is hosted in Google BigQuery and is included in BigQuery's 1TB/mo of free tier processing. This means that each user receives 1TB of free BigQuery processing every month, which can be used to run queries on this public dataset. Watch this short video to learn how to get started quickly using BigQuery to access public datasets. What is BigQuery .

  5. N

    Free Soil, MI Census Bureau Gender Demographics and Population Distribution...

    • neilsberg.com
    Updated Feb 19, 2024
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    Neilsberg Research (2024). Free Soil, MI Census Bureau Gender Demographics and Population Distribution Across Age Datasets [Dataset]. https://www.neilsberg.com/research/datasets/e183f584-52cf-11ee-804b-3860777c1fe6/
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    Dataset updated
    Feb 19, 2024
    Dataset authored and provided by
    Neilsberg Research
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Free Soil, Michigan
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset tabulates the Free Soil population by gender and age. The dataset can be utilized to understand the gender distribution and demographics of Free Soil.

    Content

    The dataset constitues the following two datasets across these two themes

    • Free Soil, MI Population Breakdown by Gender
    • Free Soil, MI Population Breakdown by Gender and Age

    Good to know

    Margin of Error

    Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

    Custom data

    If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

    Inspiration

    Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

  6. N

    Dataset for Franklin, MI Census Bureau Demographics and Population...

    • neilsberg.com
    Updated Jul 24, 2024
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    Neilsberg Research (2024). Dataset for Franklin, MI Census Bureau Demographics and Population Distribution Across Age // 2024 Edition [Dataset]. https://www.neilsberg.com/research/datasets/b791e478-5460-11ee-804b-3860777c1fe6/
    Explore at:
    Dataset updated
    Jul 24, 2024
    Dataset authored and provided by
    Neilsberg Research
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Franklin, Michigan
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset tabulates the Franklin population by age. The dataset can be utilized to understand the age distribution and demographics of Franklin.

    Content

    The dataset constitues the following three datasets

    • Franklin, MI Age Group Population Dataset: A complete breakdown of Franklin age demographics from 0 to 85 years, distributed across 18 age groups
    • Franklin, MI Age Cohorts Dataset: Children, Working Adults, and Seniors in Franklin - Population and Percentage Analysis
    • Franklin, MI Population Pyramid Dataset: Age Groups, Male and Female Population, and Total Population for Demographics Analysis

    Good to know

    Margin of Error

    Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

    Custom data

    If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

    Inspiration

    Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

  7. r

    NRS-1282 | 1841 Census: Abstracts of Returns

    • researchdata.edu.au
    Updated Nov 8, 2024
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    AGY-16 | Colonial Secretary and Registrar of the Records of New South Wales (1821-1824) Colonial Secretary (1824-1856) Colonial Secretary or Principal Secretary to the Government (1856-1859) Chief Secretary [I]; AGY-16 | Colonial Secretary and Registrar of the Records of New South Wales (1821-1824) Colonial Secretary (1824-1856) Colonial Secretary or Principal Secretary to the Government (1856-1859) Chief Secretary [I]; AGY-10 | Premier's Office [II] (1988) / Premier's Department [II] (1988-2007) / Department of Premier and Cabinet (2007-2023) / Premier's Department [III] (2023- ) (2024). NRS-1282 | 1841 Census: Abstracts of Returns [Dataset]. https://researchdata.edu.au/1841-census-abstracts-returns/168639
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    Dataset updated
    Nov 8, 2024
    Dataset provided by
    NSW State Archives Collection
    Premier's Office [II] (1988) / Premier's Department [II] (1988-2007) / Department of Premier and Cabinet (2007-2023) / Premier's Department [III] (2023- )
    Authors
    AGY-16 | Colonial Secretary and Registrar of the Records of New South Wales (1821-1824) Colonial Secretary (1824-1856) Colonial Secretary or Principal Secretary to the Government (1856-1859) Chief Secretary [I]; AGY-16 | Colonial Secretary and Registrar of the Records of New South Wales (1821-1824) Colonial Secretary (1824-1856) Colonial Secretary or Principal Secretary to the Government (1856-1859) Chief Secretary [I]; AGY-10 | Premier's Office [II] (1988) / Premier's Department [II] (1988-2007) / Department of Premier and Cabinet (2007-2023) / Premier's Department [III] (2023- )
    Time period covered
    Mar 2, 1841 - Dec 31, 1841
    Description

    An Act for ascertaining the Number of the Inhabitants of the Colony of New South Wales in the Year One thousand eight hundred and forty-one, 1840 (4 Victoria Act No. 26) required every householder, employer of servants and proprietor and occupier of land to complete the census schedule on the second day ('or on the days immediately subsequent thereto') of March 1841.

    The 1841 Census was more complete than its predecessors, as the population was recorded in police districts, counties and towns. There was a broader tabulation of results which included age groups, conjugal condition (married or unmarried), religious denomination and civil condition. Civil condition provided statistical information on the number of bond (convict) or free males and females in a household, whether they were born in the colony, arrived free, held a ticket of leave, and whether they were in government employment or private assignment.

    The Census was taken by specially appointed collectors generally responsible to a Commissioner or a Bench of Magistrates, the collector completed printed forms, known as Form ‘A’ for each household in the allotted territory. After the Census magistrates were instructed to check the returns and send abstracts to the Colonial Secretary, designated Form ‘C’. The returns were then gathered together, statistics extracted and the final returns made.

    This series comprises bound volumes of Form C . (NRS 1281).

    The Form C records: number of return, name of establishment (usually head of household), number of each age group for males, and then for females (the age divisions are under two, two and under seven, seven and under 14, 14 and under 21, 21 and under 45, 45 and under 60, 60 and upwards); married or single; civil condition: free (born in colony, arrived free, other free persons), bond (ticket of leave, in government employment, in private assignment); then religion divided into Church of England, Church of Scotland, Wesleyan Methodists, other Protestant dissenters, Roman Catholics, Jews, Mohammedans and Pagans; occupation divided into land proprietors, merchants, bankers, and professional men; shopkeepers and other retail dealers; mechanics and artificers; shepherds and others in the care of sheep; gardeners, stockmen and persons employed in agriculture; domestic servants; all other persons not included in the foregoing classes; totals for males, for females, and for both; houses - further divided into stone or brick, wood, total; finished or unfinished; inhabited or uninhabited. The columns are totalled at the bottom of each sheet.

    As well as these Abstracts of returns, there are also a number of "condensed" abstracts of returns, filled in on Form C. These enumerate the running numbers covered by each sheet of abstracts eg. one-20, 21-40 and give sums for each group as well as grand total.

    Form C abstracts are arranged by district following the order in the Returns of the Colony for 1841. 'Condensed' Abstracts are filed with the district abstracts to which they pertain.

    Berrima-Port Phillip (X946-49)
    Queanbeyan-Yass (X950-51)

    References
    1) State Records New South Wales Website, "Concise Guide to the State Archives (Ca - Commissioners): Colonial Secretary, later Chief Secretary, later Services; s. Population and Statistics, a. Musters and Census Records, ii. Census,23. 1841 Census: Abstracts of returns, CGS 1282."
    2) State Records New South Wales Website, "Introduction to the 1841 Census: Index to the 1841 Census, Background".
    3) State Records New South Wales Website, "Short Guide 12 - Muster and Census Records, 1788 - 1901".

  8. d

    TIGER/Line Shapefile, 2019, 2010 nation, U.S., 2010 Census 5-Digit ZIP Code...

    • catalog.data.gov
    • res1catalogd-o-tdatad-o-tgov.vcapture.xyz
    Updated Nov 1, 2022
    + more versions
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    (2022). TIGER/Line Shapefile, 2019, 2010 nation, U.S., 2010 Census 5-Digit ZIP Code Tabulation Area (ZCTA5) National [Dataset]. https://catalog.data.gov/dataset/tiger-line-shapefile-2019-2010-nation-u-s-2010-census-5-digit-zip-code-tabulation-area-zcta5-na
    Explore at:
    Dataset updated
    Nov 1, 2022
    Description

    The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. 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 ZCTA boundaries in this release are those delineated following the 2010 Census.

  9. American Community Survey (ACS)

    • console.cloud.google.com
    Updated Jul 16, 2018
    + more versions
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    https://console.cloud.google.com/marketplace/browse?filter=partner:United%20States%20Census%20Bureau&inv=1&invt=Abyneg (2018). American Community Survey (ACS) [Dataset]. https://console.cloud.google.com/marketplace/product/united-states-census-bureau/acs
    Explore at:
    Dataset updated
    Jul 16, 2018
    Dataset provided by
    Googlehttp://google.com/
    Description

    The American Community Survey (ACS) is an ongoing survey that provides vital information on a yearly basis about our nation and its people by contacting over 3.5 million households across the country. The resulting data provides incredibly detailed demographic information across the US aggregated at various geographic levels which helps determine how more than $675 billion in federal and state funding are distributed each year. Businesses use ACS data to inform strategic decision-making. ACS data can be used as a component of market research, provide information about concentrations of potential employees with a specific education or occupation, and which communities could be good places to build offices or facilities. For example, someone scouting a new location for an assisted-living center might look for an area with a large proportion of seniors and a large proportion of people employed in nursing occupations. Through the ACS, we know more about jobs and occupations, educational attainment, veterans, whether people own or rent their homes, and other topics. Public officials, planners, and entrepreneurs use this information to assess the past and plan the future. For more information, see the Census Bureau's ACS Information Guide . This public dataset is hosted in Google BigQuery as part of the Google Cloud Public Datasets Program , with Carto providing cleaning and onboarding support. It is included in BigQuery's 1TB/mo of free tier processing. This means that each user receives 1TB of free BigQuery processing every month, which can be used to run queries on this public dataset. Watch this short video to learn how to get started quickly using BigQuery to access public datasets. What is BigQuery .

  10. N

    Excel, AL Age Group Population Dataset: A Complete Breakdown of Excel Age...

    • neilsberg.com
    csv, json
    Updated Jul 24, 2024
    + more versions
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    Neilsberg Research (2024). Excel, AL Age Group Population Dataset: A Complete Breakdown of Excel Age Demographics from 0 to 85 Years and Over, Distributed Across 18 Age Groups // 2024 Edition [Dataset]. https://www.neilsberg.com/research/datasets/aa8c95e0-4983-11ef-ae5d-3860777c1fe6/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Jul 24, 2024
    Dataset authored and provided by
    Neilsberg Research
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Excel
    Variables measured
    Population Under 5 Years, Population over 85 years, Population Between 5 and 9 years, Population Between 10 and 14 years, Population Between 15 and 19 years, Population Between 20 and 24 years, Population Between 25 and 29 years, Population Between 30 and 34 years, Population Between 35 and 39 years, Population Between 40 and 44 years, and 9 more
    Measurement technique
    The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates. To measure the two variables, namely (a) population and (b) population as a percentage of the total population, we initially analyzed and categorized the data for each of the age groups. For age groups we divided it into roughly a 5 year bucket for ages between 0 and 85. For over 85, we aggregated data into a single group for all ages. For further information regarding these estimates, please feel free to reach out to us via email at research@neilsberg.com.
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset tabulates the Excel population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Excel. The dataset can be utilized to understand the population distribution of Excel by age. For example, using this dataset, we can identify the largest age group in Excel.

    Key observations

    The largest age group in Excel, AL was for the group of age 45 to 49 years years with a population of 74 (15.64%), according to the ACS 2018-2022 5-Year Estimates. At the same time, the smallest age group in Excel, AL was the 85 years and over years with a population of 2 (0.42%). Source: U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates

    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates

    Age groups:

    • Under 5 years
    • 5 to 9 years
    • 10 to 14 years
    • 15 to 19 years
    • 20 to 24 years
    • 25 to 29 years
    • 30 to 34 years
    • 35 to 39 years
    • 40 to 44 years
    • 45 to 49 years
    • 50 to 54 years
    • 55 to 59 years
    • 60 to 64 years
    • 65 to 69 years
    • 70 to 74 years
    • 75 to 79 years
    • 80 to 84 years
    • 85 years and over

    Variables / Data Columns

    • Age Group: This column displays the age group in consideration
    • Population: The population for the specific age group in the Excel is shown in this column.
    • % of Total Population: This column displays the population of each age group as a proportion of Excel total population. Please note that the sum of all percentages may not equal one due to rounding of values.

    Good to know

    Margin of Error

    Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

    Custom data

    If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

    Inspiration

    Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

    Recommended for further research

    This dataset is a part of the main dataset for Excel Population by Age. You can refer the same here

  11. N

    Rusk County, TX Age Group Population Dataset: A Complete Breakdown of Rusk...

    • neilsberg.com
    csv, json
    Updated Jul 24, 2024
    + more versions
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    Neilsberg Research (2024). Rusk County, TX Age Group Population Dataset: A Complete Breakdown of Rusk County Age Demographics from 0 to 85 Years and Over, Distributed Across 18 Age Groups // 2024 Edition [Dataset]. https://www.neilsberg.com/research/datasets/aab5afb0-4983-11ef-ae5d-3860777c1fe6/
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Jul 24, 2024
    Dataset authored and provided by
    Neilsberg Research
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Texas, Rusk County
    Variables measured
    Population Under 5 Years, Population over 85 years, Population Between 5 and 9 years, Population Between 10 and 14 years, Population Between 15 and 19 years, Population Between 20 and 24 years, Population Between 25 and 29 years, Population Between 30 and 34 years, Population Between 35 and 39 years, Population Between 40 and 44 years, and 9 more
    Measurement technique
    The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates. To measure the two variables, namely (a) population and (b) population as a percentage of the total population, we initially analyzed and categorized the data for each of the age groups. For age groups we divided it into roughly a 5 year bucket for ages between 0 and 85. For over 85, we aggregated data into a single group for all ages. For further information regarding these estimates, please feel free to reach out to us via email at research@neilsberg.com.
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset tabulates the Rusk County population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Rusk County. The dataset can be utilized to understand the population distribution of Rusk County by age. For example, using this dataset, we can identify the largest age group in Rusk County.

    Key observations

    The largest age group in Rusk County, TX was for the group of age 35 to 39 years years with a population of 3,746 (7.10%), according to the ACS 2018-2022 5-Year Estimates. At the same time, the smallest age group in Rusk County, TX was the 80 to 84 years years with a population of 907 (1.72%). Source: U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates

    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates

    Age groups:

    • Under 5 years
    • 5 to 9 years
    • 10 to 14 years
    • 15 to 19 years
    • 20 to 24 years
    • 25 to 29 years
    • 30 to 34 years
    • 35 to 39 years
    • 40 to 44 years
    • 45 to 49 years
    • 50 to 54 years
    • 55 to 59 years
    • 60 to 64 years
    • 65 to 69 years
    • 70 to 74 years
    • 75 to 79 years
    • 80 to 84 years
    • 85 years and over

    Variables / Data Columns

    • Age Group: This column displays the age group in consideration
    • Population: The population for the specific age group in the Rusk County is shown in this column.
    • % of Total Population: This column displays the population of each age group as a proportion of Rusk County total population. Please note that the sum of all percentages may not equal one due to rounding of values.

    Good to know

    Margin of Error

    Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

    Custom data

    If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

    Inspiration

    Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

    Recommended for further research

    This dataset is a part of the main dataset for Rusk County Population by Age. You can refer the same here

  12. p

    Population and Housing Census 2005 - Palau

    • microdata.pacificdata.org
    Updated Aug 18, 2013
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    Office of Planning and Statistics (2013). Population and Housing Census 2005 - Palau [Dataset]. https://microdata.pacificdata.org/index.php/catalog/27
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    Dataset updated
    Aug 18, 2013
    Dataset authored and provided by
    Office of Planning and Statistics
    Time period covered
    2005
    Area covered
    Palau
    Description

    Abstract

    The 2005 Republic of Palau Census of Population and Housing will be used to give a snapshot of Republic of Palau's population and housing at the mid-point of the decade. This Census is also important because it measures the population at the beginning of the implementation of the Compact of Free Association. The information collected in the census is needed to plan for the needs of the population. The government uses the census figures to allocate funds for public services in a wide variety of areas, such as education, housing, and job training. The figures also are used by private businesses, academic institutions, local organizations, and the public in general to understand who we are and what our situation is, in order to prepare better for our future needs.

    The fundamental purpose of a census is to provide information on the size, distribution and characteristics of a country's population. The census data are used for policymaking, planning and administration, as well as in management and evaluation of programmes in education, labour force, family planning, housing, health, transportation and rural development. A basic administrative use is in the demarcation of constituencies and allocation of representation to governing bodies. The census is also an invaluable resource for research, providing data for scientific analysis of the composition and distribution of the population and for statistical models to forecast its future growth. The census provides business and industry with the basic data they need to appraise the demand for housing, schools, furnishings, food, clothing, recreational facilities, medical supplies and other goods and services.

    Geographic coverage

    A hierarchical geographic presentation shows the geographic entities in a superior/subordinate structure in census products. This structure is derived from the legal, administrative, or areal relationships of the entities. The hierarchical structure is depicted in report tables by means of indentation. The following structure is used for the 2005 Census of the Republic of Palau:

    Republic of Palau State Hamlet/Village Enumeration District Block

    Analysis unit

    Individuals Families Households General Population

    Universe

    The Census covered all the households and respective residents in the entire country.

    Kind of data

    Census/enumeration data [cen]

    Sampling procedure

    Not applicable to a full enumeration census.

    Mode of data collection

    Face-to-face [f2f]

    Research instrument

    The 2005 Palau Census of Population and Housing comprises three parts: 1. Housing - one form for each household 2. Population - one for for each member of the household 3. People who have left home - one form for each household.

    Cleaning operations

    Full scale processing and editing activiities comprised eight separate sessions either with or separately but with remote guidance of the U.S. Census Bureau experts to finalize all datasets for publishing stage.

    Processing operation was handled with care to produce a set of data that describes the population as clearly and accurately as possible. To meet this objective, questionnaires were reviewed and edited during field data collection operations by crew leaders for consistency, completeness, and acceptability. Questionnaires were also reviewed by census clerks in the census office for omissions, certain inconsistencies, and population coverage. For example, write-in entries such as "Don't know" or "NA" were considered unacceptable in certain quantities and/or in conjunction with other data omissions.

    As a result of this review operation, a telephone or personal visit follow-up was made to obtain missing information. Potential coverage errors were included in the follow-up, as well as questionnaires with omissions or inconsistencies beyond the completeness and quality tolerances specified in the review procedures.

    Subsequent to field operations, remaining incomplete or inconsistent information on the questionnaires was assigned using imputation procedures during the final automated edit of the collected data. Allocations, or computer assignments of acceptable data in place of unacceptable entries or blanks, were needed most often when an entry for a given item was lacking or when the information reported for a person or housing unit on that item was inconsistent with other information for that same person or housing unit. As in previous censuses, the general procedure for changing unacceptable entries was to assign an entry for a person or housing unit that was consistent with entries for persons or housing units with similar characteristics. The assignment of acceptable data in lace of blanks or unacceptable entries enhanced the usefulness of the data.

    Another way to make corrections during the computer editing process is substitution. Substitution is the assignment of a full set of characteristics for a person or housing unit. Because of the detailed field operations, substitution was not needed for the 2005 Census.

    Sampling error estimates

    Sampling Error is not applicable to full enumeration censuses.

    Data appraisal

    In any large-scale statistical operation, such as the 2005 Census of the Republic of Palau, human- and machine-related errors were anticipated. These errors are commonly referred to as nonsampling errors. Such errors include not enumerating every household or every person in the population, not obtaining all required information form the respondents, obtaining incorrect or inconsistent information, and recording information incorrectly. In addition, errors can occur during the field review of the enumerators' work, during clerical handling of the census questionnaires, or during the electronic processing of the questionnaires.

    To reduce various types of nonsampling errors, a number of techniques were implemented during the planning, data collection, and data processing activities. Quality assurance methods were used throughout the data collection and processing phases of the census to improve the quality of the data.

  13. N

    Primrose, NE Age Group Population Dataset: A Complete Breakdown of Primrose...

    • neilsberg.com
    csv, json
    Updated Feb 22, 2025
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    Neilsberg Research (2025). Primrose, NE Age Group Population Dataset: A Complete Breakdown of Primrose Age Demographics from 0 to 85 Years and Over, Distributed Across 18 Age Groups // 2025 Edition [Dataset]. https://www.neilsberg.com/insights/primrose-ne-population-by-age/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Feb 22, 2025
    Dataset authored and provided by
    Neilsberg Research
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Nebraska, Primrose
    Variables measured
    Population Under 5 Years, Population over 85 years, Population Between 5 and 9 years, Population Between 10 and 14 years, Population Between 15 and 19 years, Population Between 20 and 24 years, Population Between 25 and 29 years, Population Between 30 and 34 years, Population Between 35 and 39 years, Population Between 40 and 44 years, and 9 more
    Measurement technique
    The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. To measure the two variables, namely (a) population and (b) population as a percentage of the total population, we initially analyzed and categorized the data for each of the age groups. For age groups we divided it into roughly a 5 year bucket for ages between 0 and 85. For over 85, we aggregated data into a single group for all ages. For further information regarding these estimates, please feel free to reach out to us via email at research@neilsberg.com.
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset tabulates the Primrose population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Primrose. The dataset can be utilized to understand the population distribution of Primrose by age. For example, using this dataset, we can identify the largest age group in Primrose.

    Key observations

    The largest age group in Primrose, NE was for the group of age 50 to 54 years years with a population of 19 (27.14%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Primrose, NE was the 20 to 24 years years with a population of 0 (0%). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

    Age groups:

    • Under 5 years
    • 5 to 9 years
    • 10 to 14 years
    • 15 to 19 years
    • 20 to 24 years
    • 25 to 29 years
    • 30 to 34 years
    • 35 to 39 years
    • 40 to 44 years
    • 45 to 49 years
    • 50 to 54 years
    • 55 to 59 years
    • 60 to 64 years
    • 65 to 69 years
    • 70 to 74 years
    • 75 to 79 years
    • 80 to 84 years
    • 85 years and over

    Variables / Data Columns

    • Age Group: This column displays the age group in consideration
    • Population: The population for the specific age group in the Primrose is shown in this column.
    • % of Total Population: This column displays the population of each age group as a proportion of Primrose total population. Please note that the sum of all percentages may not equal one due to rounding of values.

    Good to know

    Margin of Error

    Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

    Custom data

    If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

    Inspiration

    Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

    Recommended for further research

    This dataset is a part of the main dataset for Primrose Population by Age. You can refer the same here

  14. General Population Census of 1962 - IPUMS Subset - France

    • catalog.ihsn.org
    • datacatalog.ihsn.org
    • +1more
    Updated Mar 29, 2019
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    INSEE (Institut National de la Statisque et des Etudes Economiques) (2019). General Population Census of 1962 - IPUMS Subset - France [Dataset]. https://catalog.ihsn.org/catalog/5334
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    Dataset updated
    Mar 29, 2019
    Dataset provided by
    The National Institute of Statistics and Economic Studieshttp://insee.fr/
    Minnesota Population Center
    Time period covered
    1962
    Area covered
    France
    Description

    Abstract

    IPUMS-International is an effort to inventory, preserve, harmonize, and disseminate census microdata from around the world. The project has collected the world's largest archive of publicly available census samples. The data are coded and documented consistently across countries and over time to facillitate comparative research. IPUMS-International makes these data available to qualified researchers free of charge through a web dissemination system.

    The IPUMS project is a collaboration of the Minnesota Population Center, National Statistical Offices, and international data archives. Major funding is provided by the U.S. National Science Foundation and the Demographic and Behavioral Sciences Branch of the National Institute of Child Health and Human Development. Additional support is provided by the University of Minnesota Office of the Vice President for Research, the Minnesota Population Center, and Sun Microsystems.

    Geographic coverage

    National coverage

    Analysis unit

    Dwelling

    UNITS IDENTIFIED: - Dwellings: No - Households: Yes - Individuals: Yes - Group quarters: Yes

    UNIT DESCRIPTIONS: - Group quarters: A collective household is a group of persons that does not live in an ordinary household, but lives in a collective establishment, sharing meal times.

    Kind of data

    Census/enumeration data [cen]

    Sampling procedure

    SAMPLE DESIGN: Systematic manual sorting into lots with different sample units, according to target population.

    SAMPLE UNIT: Private dwellings and individuals for group quarters and compte a part

    SAMPLE FRACTION: 5%

    SAMPLE UNIVERSE: The microdata sample includes mainland France and Corsica.

    SAMPLE SIZE (person records): 2,320,901

    Mode of data collection

    Face-to-face [f2f]

    Research instrument

    Separate forms for buildings, group quarters (collective households), group quarters (compte a part), private households, and boats. Four forms for individuals (living in group quarters and private dwellings; two different forms for people compte a part; living in boats).

  15. N

    Dataset for Springfield, OH Census Bureau Demographics and Population...

    • neilsberg.com
    Updated Jul 24, 2024
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    Neilsberg Research (2024). Dataset for Springfield, OH Census Bureau Demographics and Population Distribution Across Age // 2024 Edition [Dataset]. https://www.neilsberg.com/research/datasets/b7b62083-5460-11ee-804b-3860777c1fe6/
    Explore at:
    Dataset updated
    Jul 24, 2024
    Dataset authored and provided by
    Neilsberg Research
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Ohio, Springfield
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset tabulates the Springfield population by age. The dataset can be utilized to understand the age distribution and demographics of Springfield.

    Content

    The dataset constitues the following three datasets

    • Springfield, OH Age Group Population Dataset: A complete breakdown of Springfield age demographics from 0 to 85 years, distributed across 18 age groups
    • Springfield, OH Age Cohorts Dataset: Children, Working Adults, and Seniors in Springfield - Population and Percentage Analysis
    • Springfield, OH Population Pyramid Dataset: Age Groups, Male and Female Population, and Total Population for Demographics Analysis

    Good to know

    Margin of Error

    Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

    Custom data

    If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

    Inspiration

    Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

  16. Population Census 1980 - South Africa

    • microdata.worldbank.org
    • catalog.ihsn.org
    • +2more
    Updated May 1, 2014
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    Statistics South Africa (2014). Population Census 1980 - South Africa [Dataset]. https://microdata.worldbank.org/index.php/catalog/909
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    Dataset updated
    May 1, 2014
    Dataset authored and provided by
    Statistics South Africahttp://www.statssa.gov.za/
    Time period covered
    1980
    Area covered
    South Africa
    Description

    Abstract

    The 1980 South African Population Census was a count of all persons present on Republic of South African territory during census night (i.e. at midnight between 6 and 7 May 1980). The purpose of the population census was to collect, process and disseminate detailed statistics on population size, composition and distribution at small area level. The 1980 South African Population Census contains data collected on HOUSEHOLDS: household goods and dwelling characteristics as well as employment of domestic workers; INDIVIDUALS: population group, citizenship/nationality, marital status, fertility and infant mortality, education, employment, religion, language and disabilities, as well as mode of transport used and participation in sport and other recreational activities

    Geographic coverage

    The 1980 census covered the so-called white areas of South Africa, i.e. the areas in the former four provinces of the Cape, the Orange Free State, Transvaal, and Natal. It also covered areas in the following so-called National States of Ciskei, KwaZulu, Gazankulu, Lebowa, Qwaqwa, Kangwane, and Kwandebele. The 1980 South African census excluded the areas of the Transkei and Bophuthatswana. A census data file for Bophuthatswana was released with the final South African Census 1980 dataset.

    Analysis unit

    The units of analysis of the 1980 census includes households, individuals and institutions

    Universe

    The 1980 South African census covered all household members (usual residents).

    The 1980 South African Population Census was enumerated on a de facto basis, that is, according to the place where persons were located during the census. All persons who were present on Republic of South African territory during census night (i.e. at midnight between 6 and 7 May 1980) were enumerated and included in the data. Visitors from abroad who were present in the RSA on holiday or business on the night of the census, as well as foreigners (and their families) who were studying or economically active, were not enumerated and included in the figures. Likewise, members of the Diplomatic and Consular Corps of foreign countries were not included. However, the South African personnel linked to the foreign missions including domestic workers were enumerated. Crews and passengers of ships were also not enumerated, unless they were normally resident in the Republic of South Africa. Residents of the RSA who were absent from the night were as far as possible enumerated on their return and included in the region where they normally resided. Personnel of the South African Government stationed abroad and their families were, however enumerated. Such persons were included in the Transvaal (Pretoria).

    Kind of data

    Census/enumeration data [cen]

    Mode of data collection

    Face-to-face [f2f]

    Research instrument

    The 1980 Population Census questionnaire was administered to all household members and covered household goods and dwelling characteristics, and employment of domestic workers. Questions concerning individuals included those on citizenship/nationality, marital status, fertility and infant mortality, education, employment, religion, language and disabilities, as well as mode of transport used and participation in sport and other recreational activities.

    The following questions appear in the questionnaire but the corresponding data has not been included in the data set: PART C: PARTICULARS OF DWELLING: 2. How many separate families (i) Number of families (ii) Number of non-family persons (iii) total number of occupants [i.e. persons in families shown against (i) plus persons shown against 3. Persons employed by household Full-time, Part-time (a) How many persons are employed as domestics by you? (Include garden workers) (b) Total cash wages paid to above –mentioned persons for April 1980 4. Ownership – Do not answer this question if your dwelling is on a farm. (i) Own dwelling – (Including hire-purchase, sectional title property or property of wife): (a) Is the dwelling Fully paid Partly paid-off (b) If partly paid-off, state monthly repayment (include housing subsidy, but exclude insurance. (ii) Rented or occupied free dwelling : (a) Is the dwelling occupied free, rented furnished, rented unfurnished (b) If rented, state monthly rent (c) Is the dwelling owned by the employer? (d) Does it belong to the state, SA Railways, a provincial administration, a divisional council, or a municipality or other local authority? PART D: PARTICULARS OF THE FAMILY 1. Number of members in the family 2. Occupation. (Nature of work done) (a) Head of family (b) Wife 3. Annual income of head of family and wife. Annual income of: Head, Wife (if applicable)

  17. w

    Cameroon - Second General Census of Population and Housing 1987 - IPUMS...

    • wbwaterdata.org
    Updated Mar 16, 2020
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    (2020). Cameroon - Second General Census of Population and Housing 1987 - IPUMS Subset - Dataset - waterdata [Dataset]. https://wbwaterdata.org/dataset/cameroon-second-general-census-population-and-housing-1987-ipums-subset
    Explore at:
    Dataset updated
    Mar 16, 2020
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Cameroon
    Description

    IPUMS-International is an effort to inventory, preserve, harmonize, and disseminate census microdata from around the world. The project has collected the world's largest archive of publicly available census samples. The data are coded and documented consistently across countries and over time to facillitate comparative research. IPUMS-International makes these data available to qualified researchers free of charge through a web dissemination system. The IPUMS project is a collaboration of the Minnesota Population Center, National Statistical Offices, and international data archives. Major funding is provided by the U.S. National Science Foundation and the Demographic and Behavioral Sciences Branch of the National Institute of Child Health and Human Development. Additional support is provided by the University of Minnesota Office of the Vice President for Research, the Minnesota Population Center, and Sun Microsystems.

  18. N

    Dataset for North Versailles Township, Pennsylvania Census Bureau...

    • neilsberg.com
    Updated Jul 24, 2024
    + more versions
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    Neilsberg Research (2024). Dataset for North Versailles Township, Pennsylvania Census Bureau Demographics and Population Distribution Across Age // 2024 Edition [Dataset]. https://www.neilsberg.com/research/datasets/b7a8e6de-5460-11ee-804b-3860777c1fe6/
    Explore at:
    Dataset updated
    Jul 24, 2024
    Dataset authored and provided by
    Neilsberg Research
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    North Versailles Township, Pennsylvania
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset tabulates the North Versailles township population by age. The dataset can be utilized to understand the age distribution and demographics of North Versailles township.

    Content

    The dataset constitues the following three datasets

    • North Versailles Township, Pennsylvania Age Group Population Dataset: A complete breakdown of North Versailles township age demographics from 0 to 85 years, distributed across 18 age groups
    • North Versailles Township, Pennsylvania Age Cohorts Dataset: Children, Working Adults, and Seniors in North Versailles township - Population and Percentage Analysis
    • North Versailles Township, Pennsylvania Population Pyramid Dataset: Age Groups, Male and Female Population, and Total Population for Demographics Analysis

    Good to know

    Margin of Error

    Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

    Custom data

    If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

    Inspiration

    Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

  19. TIGER/Line Shapefile, 2022, State, New Jersey, NJ, 2020 Census Block

    • catalog.data.gov
    • datasets.ai
    Updated Jan 27, 2024
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    U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Spatial Data Collection and Products Branch (Point of Contact) (2024). TIGER/Line Shapefile, 2022, State, New Jersey, NJ, 2020 Census Block [Dataset]. https://catalog.data.gov/dataset/tiger-line-shapefile-2022-state-new-jersey-nj-2020-census-block
    Explore at:
    Dataset updated
    Jan 27, 2024
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Area covered
    New Jersey
    Description

    The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. Census Blocks are statistical areas bounded on all sides by visible features, such as streets, roads, streams, and railroad tracks, and/or by nonvisible boundaries such as city, town, township, and county limits, and short line-of-sight extensions of streets and roads. Census blocks are relatively small in area; for example, a block in a city bounded by streets. However, census blocks in remote areas are often large and irregular and may even be many square miles in area. A common misunderstanding is that data users think census blocks are used geographically to build all other census geographic areas, rather all other census geographic areas are updated and then used as the primary constraints, along with roads and water features, to delineate the tabulation blocks. As a result, all 2020 Census blocks nest within every other 2020 Census geographic area, so that Census Bureau statistical data can be tabulated at the block level and aggregated up to the appropriate geographic areas. Census blocks cover all territory in the United States, Puerto Rico, and the Island Areas (American Samoa, Guam, the Commonwealth of the Northern Mariana Islands, and the U.S. Virgin Islands). Blocks are the smallest geographic areas for which the Census Bureau publishes data from the decennial census. A block may consist of one or more faces.

  20. Pew Survey on Israel's Religiously Divided Society Data Set

    • thearda.com
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    Pew Forum on Religion and Public Life, Pew Survey on Israel's Religiously Divided Society Data Set [Dataset]. http://doi.org/10.17605/OSF.IO/GSQVJ
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    Dataset provided by
    Association of Religion Data Archives
    Authors
    Pew Forum on Religion and Public Life
    Dataset funded by
    The Pew Charitable Trusts
    The Neubauer Family Foundation
    Pew Research Centerhttp://pewresearch.org/
    Description

    Between Oct. 14, 2014, and May 21, 2015, Pew Research Center, with generous funding from The Pew Charitable Trusts and the Neubauer Family Foundation, completed 5,601 face-to-face interviews with non-institutionalized adults ages 18 and older living in Israel.

    The survey sampling plan was based on six districts defined in the 2008 Israeli census. In addition, Jewish residents of West Bank (Judea and Samaria) were included.

    The sample includes interviews with 3,789 respondents defined as Jews, 871 Muslims, 468 Christians and 439 Druze. An additional 34 respondents belong to other religions or are religiously unaffiliated. Five groups were oversampled as part of the survey design: Jews living in the West Bank, Haredim, Christian Arabs, Arabs living in East Jerusalem and Druze.

    Interviews were conducted under the direction of Public Opinion and Marketing Research of Israel (PORI). Surveys were administered through face-to-face, paper and pencil interviews conducted at the respondent's place of residence. Sampling was conducted through a multi-stage stratified area probability sampling design based on national population data available through the Israel's Central Bureau of Statistics' 2008 census.

    The questionnaire was designed by Pew Research Center staff in consultation with subject matter experts and advisers to the project. The questionnaire was translated into Hebrew, Russian and Arabic, independently verified by professional linguists conversant in regional dialects and pretested prior to fieldwork.

    The questionnaire was divided into four sections. All respondents who took the survey in Russian or Hebrew were branched into the Jewish questionnaire (Questionnaire A). Arabic-speaking respondents were branched into the Muslim (Questionnaire B), Christian (Questionnaire C) or Druze questionnaire (D) based on their response to the religious identification question. For the full question wording and exact order of questions, please see the questionnaire.

    Note that not all respondents who took the questionnaire in Hebrew or Russian are classified as Jews in this study. For further details on how respondents were classified as Jews, Muslims, Christians and Druze in the study, please see sidebar in the report titled "http://www.pewforum.org/2016/03/08/israels-religiously-divided-society/" Target="_blank">"How Religious are Defined".

    Following fieldwork, survey performance was assessed by comparing the results for key demographic variables with population statistics available through the census. Data were weighted to account for different probabilities of selection among respondents. Where appropriate, data also were weighted through an iterative procedure to more closely align the samples with official population figures for gender, age and education. The reported margins of sampling error and the statistical tests of significance used in the analysis take into account the design effects due to weighting and sample design.

    In addition to sampling error and other practical difficulties, one should bear in mind that question wording also can have an impact on the findings of opinion polls.

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(2017). Nigeria Census Data - Dataset - openAFRICA [Dataset]. https://open.africa/dataset/nigeria-census-data

Nigeria Census Data - Dataset - openAFRICA

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Dataset updated
Dec 4, 2017
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Area covered
Nigeria
Description

This dataset shows census data for Nigeria from government data sources and the World Bank data portal.

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