10 datasets found
  1. Decennial Census: Summary File 3 Demographic Profile

    • res1catalogd-o-tdatad-o-tgov.vcapture.xyz
    • catalog.data.gov
    Updated Jul 19, 2023
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    U.S. Census Bureau (2023). Decennial Census: Summary File 3 Demographic Profile [Dataset]. https://res1catalogd-o-tdatad-o-tgov.vcapture.xyz/dataset/decennial-census-summary-file-3-demographic-profile
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    Dataset updated
    Jul 19, 2023
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Description

    The census of population and housing, taken by the Census Bureau in years ending in 0 (zero). Article I of the Constitution requires that a census be taken every ten years for the purpose of reapportioning the U.S. House of Representatives. Title 13 of the U. S. Code provides the authorization for conducting the census in Puerto Rico and the Island Areas. After each decennial census, the results are released to the public in a variety of ways, including publishing multiple series of reports titled Census of Population and Housing. The abbreviation for these reports was CPH for some decades (including 1990 and 2010) and PHC for some decades (including 1970 and 2000).

  2. Decennial Census of Island Areas: American Samoa Demographic Profile

    • res1catalogd-o-tdatad-o-tgov.vcapture.xyz
    • datasets.ai
    • +1more
    Updated Jul 19, 2023
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    U.S. Census Bureau (2023). Decennial Census of Island Areas: American Samoa Demographic Profile [Dataset]. https://res1catalogd-o-tdatad-o-tgov.vcapture.xyz/dataset/decennial-census-of-island-areas-american-samoa-demographic-profile
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    Dataset updated
    Jul 19, 2023
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Area covered
    American Samoa
    Description

    The U.S. Census Bureau conducts the Island Areas Censuses in partnership with the governments of American Samoa, the Commonwealth of the Northern Mariana Islands, Guam, and the U.S. Virgin Islands to comply with the legal requirements set forth in Title 13 of the United States Code and to meet the specific data needs of the Island Areas. The 2020 Island Areas Censuses counted people living in the U.S. Island Areas using a long-form questionnaire to meet the Island Areas' data needs for demographic, social, economic, and housing unit information. This long-form questionnaire was similar to the American Community Survey questionnaire used in the 50 states, the District of Columbia, and Puerto Rico. With the release of the 2020 IAC Demographic Profile, the Census Bureau provides summary statistics for the Island Areas, including selected demographic and housing characteristics for places and minor civil divisions (MCDs).

  3. 2020 Commonwealth of the Northern Mariana Islands Demographic Profile

    • datasets.ai
    • catalog.data.gov
    2
    Updated Sep 19, 2024
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    Department of Commerce (2024). 2020 Commonwealth of the Northern Mariana Islands Demographic Profile [Dataset]. https://datasets.ai/datasets/decennial-census-of-island-areas-northern-mariana-islands-demographic-profile
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    2Available download formats
    Dataset updated
    Sep 19, 2024
    Dataset provided by
    United States Department of Commercehttp://commerce.gov/
    Authors
    Department of Commerce
    Area covered
    Northern Mariana Islands
    Description

    The U.S. Census Bureau conducts the Island Areas Censuses in partnership with the governments of American Samoa, the Commonwealth of the Northern Mariana Islands, Guam, and the U.S. Virgin Islands to comply with the legal requirements set forth in Title 13 of the United States Code and to meet the specific data needs of the Island Areas. The 2020 Island Areas Censuses counted people living in the U.S. Island Areas using a long-form questionnaire to meet the Island Areas' data needs for demographic, social, economic, and housing unit information. This long-form questionnaire was similar to the American Community Survey questionnaire used in the 50 states, the District of Columbia, and Puerto Rico. With the release of the 2020 IAC Demographic Profile, the Census Bureau provides summary statistics for the Island Areas, including selected demographic and housing characteristics for places and minor civil divisions (MCDs).

  4. 2024 Public Sector: GS00SS13 | Expenditure of Public Elementary-Secondary...

    • data.census.gov
    • test.data.census.gov
    Updated Mar 28, 2025
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    ECN (2025). 2024 Public Sector: GS00SS13 | Expenditure of Public Elementary-Secondary School Systems in the United States: Fiscal Year 2012 - 2023 (PUB Public Sector Annual Surveys and Census of Governments) [Dataset]. https://data.census.gov/table/GOVSTIMESERIES.GS00SS13?g=9500000US0404530
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    Dataset updated
    Mar 28, 2025
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    ECN
    License

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

    Time period covered
    2024
    Area covered
    United States
    Description

    Key Table Information.Table Title.Expenditure of Public Elementary-Secondary School Systems in the United States: Fiscal Year 2012 - 2023.Table ID.GOVSTIMESERIES.GS00SS13.Survey/Program.Public Sector.Year.2024.Dataset.PUB Public Sector Annual Surveys and Census of Governments.Source.U.S. Census Bureau, Public Sector.Release Date.2025-05-01.Release Schedule.The Annual Survey of School System Finances occurs every year. Data are typically released in early May. There are approximately two years between the reference period and data release..Dataset Universe.Census of Governments - Organization (CG):The universe of this file is all federal, state, and local government units in the United States. In addition to the federal government and the 50 state governments, the Census Bureau recognizes five basic types of local governments. The government types are: County, Municipal, Township, Special District, and School District. Of these five types, three are categorized as General Purpose governments: County, municipal, and township governments are readily recognized and generally present no serious problem of classification. However, legislative provisions for school district and special district governments are diverse. These two types are categorized as Special Purpose governments. Numerous single-function and multiple-function districts, authorities, commissions, boards, and other entities, which have varying degrees of autonomy, exist in the United States. The basic pattern of these entities varies widely from state to state. Moreover, various classes of local governments within a particular state also differ in their characteristics. Refer to the Individual State Descriptions report for an overview of all government entities authorized by state.The Public Use File provides a listing of all independent government units, and dependent school districts active as of fiscal year ending June 30, 2024. The Annual Surveys of Public Employment & Payroll (EP) and State and Local Government Finances (LF):The target population consists of all 50 state governments, the District of Columbia, and a sample of local governmental units (counties, cities, townships, special districts, school districts). In years ending in '2' and '7' the entire universe is canvassed. In intervening years, a sample of the target population is surveyed. Additional details on sampling are available in the survey methodology descriptions for those years.The Annual Survey of Public Pensions (PP):The target population consists of state- and locally-administered defined benefit funds and systems of all 50 state governments, the District of Columbia, and a sample of local governmental units (counties, cities, townships, special districts, school districts). In years ending in '2' and '7' the entire universe is canvassed. In intervening years, a sample of the target population is surveyed. Additional details on sampling are available in the survey methodology descriptions for those years.The Annual Surveys of State Government Finance (SG) and State Government Tax Collections (TC):The target population consists of all 50 state governments. No local governments are included. For the purpose of Census Bureau statistics, the term "state government" refers not only to the executive, legislative, and judicial branches of a given state, but it also includes agencies, institutions, commissions, and public authorities that operate separately or somewhat autonomously from the central state government but where the state government maintains administrative or fiscal control over their activities as defined by the Census Bureau. Additional details are available in the survey methodology description.The Annual Survey of School System Finances (SS):The Annual Survey of School System Finances targets all public school systems providing elementary and/or secondary education in all 50 states and the District of Columbia..Methodology.Data Items and Other Identifying Records.Fall enrollmentTotal expenditureTotal current spendingCurrent spending - All functions - Salaries and wagesCurrent spending - All functions - Employee benefitsCurrent spending - Instruction - TotalCurrent spending - Instruction - Salaries and wagesCurrent spending - Instruction - Employee benefitsCurrent spending - Support services - TotalCurrent spending - Support services - Pupil support servicesCurrent spending - Support services - Instructional staff support servicesCurrent spending - Support services - General administrationCurrent spending - Support services - School administrationCurrent spending - Support services - Other and nonspecified support servicesCurrent spending - Other current spendingTotal capital outlay expenditureOther expenditure - Payments to other governmentsOther expenditure - Interest on debtDefinitions can be found by clicking on the column header in the table or by accessing the Glossary.For detailed information, see Government Finance and Employment Classification Manual...

  5. g

    1992 Census of Agriculture, Geographic Area Series 1C

    • search.gesis.org
    • dataverse-staging.rdmc.unc.edu
    Updated May 6, 2021
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    UNC Dataverse (2021). 1992 Census of Agriculture, Geographic Area Series 1C [Dataset]. https://search.gesis.org/research_data/datasearch-httpsdataverse-unc-eduoai--hdl1902-29CD-0047
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    Dataset updated
    May 6, 2021
    Dataset provided by
    GESIS search
    UNC Dataverse
    License

    https://search.gesis.org/research_data/datasearch-httpsdataverse-unc-eduoai--hdl1902-29CD-0047https://search.gesis.org/research_data/datasearch-httpsdataverse-unc-eduoai--hdl1902-29CD-0047

    Description

    The 1992 Census of Agriculture presents statistics for States and the United States. The census has taken a census every fifth year after 1983 covering the prior year. This adjustment in timing established the agriculture census on a 5-year cycle collecting data for years ending in 2 and 7. In keeping with the provisions of Title 13, United States Code, no data are published that would disclose the operations of an individual farm. However, the number of farms in a given size category or othe r classification, such as size of farm, is not considered a release of confidential information and is provided even though other information is withheld. The census of agriculture is the leading source of statistics about the Nation's agricultural production and the only source of consistent, comparable data at the county, State, and national levels. Census statistics are used by Congress in developing and changing farm programs and for determining the effects of these programs. Many national and State programs are designed or allocated on the basis of census data, such as funds for extension services, research, and soil conservation projects. The current CD contains US Summary, State Data File, and Cross-Tab Data File.

    Note to Users: This CD is part of a collection located in the Data Archive of the Odum Institute for Research in Social Science, at the University of North Carolina at Chapel Hill. The collection is located in Room 10, Manning Hall. Users may check the CDs out subscribing to the honor system. Items can be checked out for a period of two weeks. Loan forms are located adjacent to the collection.

  6. i

    Iowa Census ZIP Code Tabulation Areas

    • geodata.iowa.gov
    • hub.arcgis.com
    Updated Feb 1, 2024
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    State of Iowa (2024). Iowa Census ZIP Code Tabulation Areas [Dataset]. https://geodata.iowa.gov/datasets/iowa-census-zip-code-tabulation-areas
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    Dataset updated
    Feb 1, 2024
    Dataset authored and provided by
    State of Iowa
    License

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

    Area covered
    Description

    Description taken from the US Census ZCTA Website.First introduced in 1963, ZIP Code is a trademark of the USPS created to coordinate mail handling and delivery. The USPS assigns ZIP Code ranges to regional post offices, which in turn assign ZIP Codes to delivery routes. Each delivery route is composed of street networks, and/or individual units with high mail volumes, such as high-rise buildings or individual business locations. Within the Census Bureau’s MAF/TIGER System, ZIP Codes are stored as one component of discrete addresses tied to delivery points, including specific housing unit locations. The result is a point-based dataset unsuitable for mapping and many analysis applications.ZCTAs are generalized areal representations of the geographic extent and distribution of the point-based ZIP Codes built using 2020 Census tabulation blocks. The Census Bureau is restricted by Title 13 from releasing individual housing unit addresses or location information to the public, so point-based ZIP Code data are unsuitable for distribution and publication. However, by aggregating the points and extrapolating them to a polygonal-based unit (census tabulation blocks), disclosure concerns can be addressed and “geographic subtraction*” is prevented.

  7. 2022 Economic Census of Island Areas: IA2200SUBJ13 | Island Areas: Race...

    • data.census.gov
    Updated Dec 19, 2024
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    ECN (2024). 2022 Economic Census of Island Areas: IA2200SUBJ13 | Island Areas: Race Status of Ownership for American Samoa, Commonwealth of the Northern Mariana Islands, Guam, Puerto Rico, and U.S. Virgin Islands: 2022 (ECNIA Economic Census of Island Areas) [Dataset]. https://data.census.gov/table/ISLANDAREAS2022.IA2200SUBJ13?q=AM+CONSTRUCTION
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    Dataset updated
    Dec 19, 2024
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    ECN
    License

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

    Time period covered
    2022
    Area covered
    Guam, Northern Mariana Islands
    Description

    Key Table Information.Table Title.Island Areas: Race Status of Ownership for American Samoa, Commonwealth of the Northern Mariana Islands, Guam, Puerto Rico, and U.S. Virgin Islands: 2022.Table ID.ISLANDAREAS2022.IA2200SUBJ13.Survey/Program.Economic Census of Island Areas.Year.2022.Dataset.ECNIA Economic Census of Island Areas.Release Date.2024-12-19.Release Schedule.The Economic Census occurs every five years, in years ending in 2 and 7.2022 Economic Census of Island Areas tables are released on a flow basis from June through December 2024.For more information about economic census planned data product releases, see 2022 Economic Census Release Schedule..Dataset Universe.The dataset universe consists of all establishments that are in operation for at least some part of 2022, are located in Puerto Rico, the U.S. Virgin Islands, Guam, the Commonwealth of the Northern Mariana Islands, or America Samoa, have paid employees, and are classified in one of eighteen in-scope sectors defined by the 2022 North American Industry Classification System (NAICS)..Methodology.Data Items and Other Identifying Records.Number of establishmentsSales, value of shipments, or revenue ($1,000)Annual payroll ($1,000)First-quarter payroll ($1,000)Number of employeesRange indicating imputed percentage of total sales, value of shipments, or revenueRange indicating imputed percentage of total annual payrollRange indicating imputed percentage of total employeesEach record includes a RACE_GROUP code, which represents a specific race status of ownership category.The data are shown for race status of ownership.Definitions can be found by clicking on the column header in the table or by accessing the Economic Census Glossary..Unit(s) of Observation.The reporting units for the Economic Census of Island Areas are employer establishments. An establishment is generally a single physical location where business is conducted or where services or industrial operations are performed..Geography Coverage.The data are shown for employer establishments and firms that vary by industry:the Territory level for American Samoathe Territory level for Guamthe Territory level for the Commonwealth of the Northern Mariana Islandsthe Territory level for Puerto Ricothe Territory level for US Virgin IslandsFor information about economic census geographies, including changes for 2022, see Geographies..Industry Coverage.The data are shown at the 2-digit 2022 NAICS code levels for selected economic census sectors and geographies.For information about NAICS, see Economic Census Code Lists..Sampling.The Economic Census of Island Areas is a complete enumeration of establishments located in the islands (i.e., all establishments on the sampling frame are included in the sample). Therefore, the accuracy of tabulations is not affected by sampling error..Confidentiality.The Census Bureau has reviewed this data product to ensure appropriate access, use, and disclosure avoidance protection of the confidential source data (Project No. 7504609, Disclosure Review Board (DRB) approval number: CBDRB-FY24-0044).The primary method of disclosure avoidance protection is noise infusion. Under this method, the quantitative data values such as sales or payroll for each establishment are perturbed prior to tabulation by applying a random noise multiplier (i.e., factor). Each establishment is assigned a single noise factor, which is applied to all its quantitative data value. Using this method, most published cell totals are perturbed by at most a few percentage points.To comply with disclosure avoidance guidelines, data rows with fewer than three contributing establishments are not presented. For more information on disclosure avoidance, see Methodology for the 2022 Economic Census- Island Areas..Technical Documentation/Methodology.For detailed information about the methods used to collect data and produce statistics, see Methodology for the 2022 Economic Census- Island Areas.For more information about survey questionnaires, Primary Business Activity/NAICS codes, and NAPCS codes, see Economic Census Technical Documentation..Weights.Because the Economic Census of Island Areas is a complete enumeration, there is no sample weighting..Table Information.FTP Download.https://www2.census.gov/programs-surveys/economic-census/data/2022/sector00.API Information.Economic census data are housed in the Census Bureau Application Programming Interface (API)..Symbols.D - Withheld to avoid disclosing data for individual companies; data are included in higher level totalsN - Not available or not comparableS - Estimate does not meet publication standards because of high sampling variability, poor response quality, or other concerns about the estimate quality. Unpublished estimates derived from this table by subtraction are subject to these same limitations and should not be attributed to the U.S. Census Bureau. For a description of publication standards and the total quantity response rate, see link to pro...

  8. C

    Educational Attainment

    • data.ccrpc.org
    csv
    Updated Oct 16, 2024
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    Champaign County Regional Planning Commission (2024). Educational Attainment [Dataset]. https://data.ccrpc.org/dataset/educational-attainment
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    csvAvailable download formats
    Dataset updated
    Oct 16, 2024
    Dataset authored and provided by
    Champaign County Regional Planning Commission
    License

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

    Description

    Overall educational attainment measures the highest level of education attained by a given individual: for example, an individual counted in the percentage of the measured population with a master’s or professional degree can be assumed to also have a bachelor’s degree and a high school diploma, but they are not counted in the population percentages for those two categories. Overall educational attainment is the broadest education indicator available, providing information about the measured county population as a whole.

    Only members of the population aged 25 and older are included in these educational attainment estimates, sourced from the U.S. Census Bureau American Community Survey (ACS).

    Champaign County has high educational attainment: over 48 percent of the county's population aged 25 or older has a bachelor's degree or graduate or professional degree as their highest level of education. In comparison, the percentage of the population aged 25 or older in the United States and Illinois with a bachelor's degree in 2023 was 21.8% (+/-0.1) and 22.8% (+/-0.2), respectively. The population aged 25 or older in the U.S. and Illinois with a graduate or professional degree in 2022, respectively, was 14.3% (+/-0.1) and 15.5% (+/-0.2).

    Educational attainment data was sourced from the U.S. Census Bureau’s American Community Survey 1-Year Estimates, which are released annually.

    As with any datasets that are estimates rather than exact counts, it is important to take into account the margins of error (listed in the column beside each figure) when drawing conclusions from the data.

    Due to the impact of the COVID-19 pandemic, instead of providing the standard 1-year data products, the Census Bureau released experimental estimates from the 1-year data in 2020. This includes a limited number of data tables for the nation, states, and the District of Columbia. The Census Bureau states that the 2020 ACS 1-year experimental tables use an experimental estimation methodology and should not be compared with other ACS data. For these reasons, and because data is not available for Champaign County, no data for 2020 is included in this Indicator.

    For interested data users, the 2020 ACS 1-Year Experimental data release includes a dataset on Educational Attainment for the Population 25 Years and Over.

    Sources: U.S. Census Bureau; American Community Survey, 2023 American Community Survey 1-Year Estimates, Table S1501; generated by CCRPC staff; using data.census.gov; (16 October 2024).; U.S. Census Bureau; American Community Survey, 2022 American Community Survey 1-Year Estimates, Table S1501; generated by CCRPC staff; using data.census.gov; (29 September 2023).; U.S. Census Bureau; American Community Survey, 2021 American Community Survey 1-Year Estimates, Table S1501; generated by CCRPC staff; using data.census.gov; (6 October 2022).; U.S. Census Bureau; American Community Survey, 2019 American Community Survey 1-Year Estimates, Table S1501; generated by CCRPC staff; using data.census.gov; (4 June 2021).; U.S. Census Bureau; American Community Survey, 2018 American Community Survey 1-Year Estimates, Table S1501; generated by CCRPC staff; using data.census.gov; (4 June 2021).; U.S. Census Bureau; American Community Survey, 2017 American Community Survey 1-Year Estimates, Table S1501; generated by CCRPC staff; using American FactFinder; (13 September 2018).; U.S. Census Bureau; American Community Survey, 2016 American Community Survey 1-Year Estimates, Table S1501; generated by CCRPC staff; using American FactFinder; (13 September 2018). U.S. Census Bureau; American Community Survey, 2015 American Community Survey 1-Year Estimates, Table S1501; generated by CCRPC staff; using American FactFinder; (19 September 2016).; U.S. Census Bureau; American Community Survey, 2014 American Community Survey 1-Year Estimates, Table S1501; generated by CCRPC staff; using American FactFinder; (16 March 2016).; U.S. Census Bureau; American Community Survey, 2013 American Community Survey 1-Year Estimates, Table S1501; generated by CCRPC staff; using American FactFinder; (16 March 2016).; U.S. Census Bureau; American Community Survey, 2012 American Community Survey 1-Year Estimates, Table S1501; generated by CCRPC staff; using American FactFinder; (16 March 2016).; U.S. Census Bureau; American Community Survey, 2011 American Community Survey 1-Year Estimates, Table S1501; generated by CCRPC staff; using American FactFinder; (16 March 2016).; U.S. Census Bureau; American Community Survey, 2010 American Community Survey 1-Year Estimates, Table S1501; generated by CCRPC staff; using American FactFinder; (16 March 2016).; U.S. Census Bureau; American Community Survey, 2009 American Community Survey 1-Year Estimates, Table S1501; generated by CCRPC staff; using American FactFinder; (16 March 2016).; U.S. Census Bureau; American Community Survey, 2008 American Community Survey 1-Year Estimates, Table S1501; generated by CCRPC staff; using American FactFinder; (16 March 2016).; U.S. Census Bureau; American Community Survey, 2007 American Community Survey 1-Year Estimates, Table S1501; generated by CCRPC staff; using American FactFinder; (16 March 2016).; U.S. Census Bureau; American Community Survey, 2006 American Community Survey 1-Year Estimates, Table S1501; generated by CCRPC staff; using American FactFinder; (16 March 2016).; U.S. Census Bureau; American Community Survey, 2005 American Community Survey 1-Year Estimates, Table S1501; generated by CCRPC staff; using American FactFinder; (16 March 2016).

  9. 2017 Economic Census of Island Areas: IA1700SUBJ13 | Island Areas: Race...

    • data.census.gov
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    ECN, 2017 Economic Census of Island Areas: IA1700SUBJ13 | Island Areas: Race Status of Ownership for American Samoa, Commonwealth of the Northern Mariana Islands, Guam, Puerto Rico, and U.S. Virgin Islands: 2017 (ECNIA Economic Census of Island Areas) [Dataset]. https://data.census.gov/table/ISLANDAREAS2017.IA1700SUBJ13
    Explore at:
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    ECN
    License

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

    Time period covered
    2017
    Area covered
    Guam, American Samoa, Northern Mariana Islands
    Description

    Release Date: 2020-12-17.Release Schedule:.The data in this file come from the 2017 Economic Census of Island Areas data files released on a flow basis from October 2019 through December 2020. For more information about economic census planned data product releases, see Economic Census: About: 2017 Release Schedules...Key Table Information:.Includes only establishments and firms with payroll..Data may be subject to employment- and/or sales-size minimums that vary by industry..The level of geographic detail covered varies by island. Refer to geographic area definitions for a detailed list of the geographies. Note that some tables include geography levels that only pertain to Puerto Rico..Some noise range columns are hidden..Totals may not sum due to rounding...Data Items and Other Identifying Records: .Number of establishments.Sales, value of shipments, or revenue ($1,000).Annual payroll ($1,000).First-quarter payroll ($1,000).Number of employees.Range indicating percent of total sales, value of shipments, or revenue imputed.Range indicating percent of total annual payroll imputed.Range indicating percent of total employees imputed..Each record includes a RACE_GROUP code, which represents a specific race status of ownership category...The data are shown for race status of ownership...Geography Coverage:.The data are shown for employer establishments and firms that vary by industry: . At the Territory level for American Samoa. At the Territory level for Guam. At the Territory level for the Commonwealth of the Northern Mariana Islands . At the Territory level for Puerto Rico. At the Territory level for US Virgin Islands.For information about economic census geographies, including changes for 2017, see Economic Census: Economic Geographies...Industry Coverage:.The data are shown at the 2- through 4-digit NAICS code levels for selected economic census sectors and geographies. For information about NAICS, see Economic Census: Technical Documentation: Economic Census Code Lists...Footnotes:.Not applicable...FTP Download:.Download the entire table at: https://www2.census.gov/programs-surveys/economic-census/data/2017/sector00/IA1700SUBJ13.zip..API Information:.Economic census data are housed in the Census Bureau API. For more information, see Explore Data: Developers: Available APIs: Economic Census..Methodology:.To maintain confidentiality, the U.S. Census Bureau suppresses data to protect the identity of any business or individual. The census results in this file contain sampling and/or 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...To comply with disclosure avoidance guidelines, data rows with fewer than three contributing establishments are not presented. Additionally, establishment counts are suppressed when other select statistics in the same row are suppressed. For detailed information about the methods used to collect and produce statistics, including sampling, eligibility, questions, data collection and processing, data quality, review, weighting, estimation, coding operations, confidentiality protection, sampling error, nonsampling error, and more, see Economic Census: Technical Documentation: Methodology...Symbols:.D - Withheld to avoid disclosing data for individual companies; data are included in higher level totals.N - Not available or not comparable.S - Estimate does not meet publication standards because of high sampling variability, poor response quality, or other concerns about the estimate quality. Unpublished estimates derived from this table by subtraction are subject to these same limitations and should not be attributed to the U.S. Census Bureau. For a description of publication standards and the total quantity response rate, see link to program methodology page..X - Not applicable.A - Relative standard error of 100% or more.r - Revised.s - Relative standard error exceeds 40%.For a complete list of symbols, see Economic Census: Technical Documentation: Data Dictionary.. .Source:.U.S. Census Bureau, 2017 Economic Census.For information about the economic census, see Business and Economy: Economic Census...Contact Information:.U.S. Census Bureau.For general inquiries:. (800) 242-2184/ (301) 763-5154. ewd.outreach@census.gov.For specific data questions:. (800) 541-8345.For additional contacts, see Economic Census: About: Contact Us.

  10. N

    Chevy Chase Section Three, MD Annual Population and Growth Analysis Dataset:...

    • neilsberg.com
    csv, json
    Updated Jul 30, 2024
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    Neilsberg Research (2024). Chevy Chase Section Three, MD Annual Population and Growth Analysis Dataset: A Comprehensive Overview of Population Changes and Yearly Growth Rates in Chevy Chase Section Three from 2000 to 2023 // 2024 Edition [Dataset]. https://www.neilsberg.com/research/datasets/bf29a0fd-4dd0-11ef-a154-3860777c1fe6/
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    json, csvAvailable download formats
    Dataset updated
    Jul 30, 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
    Chevy Chase Section Three, Maryland
    Variables measured
    Annual Population Growth Rate, Population Between 2000 and 2023, Annual Population Growth Rate Percent
    Measurement technique
    The data presented in this dataset is derived from the 20 years data of U.S. Census Bureau Population Estimates Program (PEP) 2000 - 2023. To measure the variables, namely (a) population and (b) population change in ( absolute and as a percentage ), we initially analyzed and tabulated the data for each of the years between 2000 and 2023. 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 Chevy Chase Section Three population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Chevy Chase Section Three across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

    Key observations

    In 2023, the population of Chevy Chase Section Three was 791, a 0.13% increase year-by-year from 2022. Previously, in 2022, Chevy Chase Section Three population was 790, a decline of 0.50% compared to a population of 794 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Chevy Chase Section Three increased by 13. In this period, the peak population was 813 in the year 2009. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).

    Content

    When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

    Data Coverage:

    • From 2000 to 2023

    Variables / Data Columns

    • Year: This column displays the data year (Measured annually and for years 2000 to 2023)
    • Population: The population for the specific year for the Chevy Chase Section Three is shown in this column.
    • Year on Year Change: This column displays the change in Chevy Chase Section Three population for each year compared to the previous year.
    • Change in Percent: This column displays the year on year change as a percentage. 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 Chevy Chase Section Three Population by Year. You can refer the same here

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U.S. Census Bureau (2023). Decennial Census: Summary File 3 Demographic Profile [Dataset]. https://res1catalogd-o-tdatad-o-tgov.vcapture.xyz/dataset/decennial-census-summary-file-3-demographic-profile
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Decennial Census: Summary File 3 Demographic Profile

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

The census of population and housing, taken by the Census Bureau in years ending in 0 (zero). Article I of the Constitution requires that a census be taken every ten years for the purpose of reapportioning the U.S. House of Representatives. Title 13 of the U. S. Code provides the authorization for conducting the census in Puerto Rico and the Island Areas. After each decennial census, the results are released to the public in a variety of ways, including publishing multiple series of reports titled Census of Population and Housing. The abbreviation for these reports was CPH for some decades (including 1990 and 2010) and PHC for some decades (including 1970 and 2000).

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