This dataset contains model-based census tract level estimates in GIS-friendly format. PLACES covers the entire United States—50 states and the District of Columbia—at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2022 or 2021 data, Census Bureau 2010 population estimates, and American Community Survey (ACS) 2015–2019 estimates. The 2024 release uses 2022 BRFSS data for 36 measures and 2021 BRFSS data for 4 measures (high blood pressure, high cholesterol, cholesterol screening, and taking medicine for high blood pressure control among those with high blood pressure) that the survey collects data on every other year. These data can be joined with the Census tract 2022 boundary file in a GIS system to produce maps for 40 measures at the census tract level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software. https://cdcarcgis.maps.arcgis.com/home/item.html?id=3b7221d4e47740cab9235b839fa55cd7

This dataset was utilized a join from enriched tables from ESRI which was curated from the 2020 Census from the United States Census Bureau, American Community Survey (ACS) and for county boundaries created by Office of Information Technology Services Next Generation 9-1-1 team in collaboration with all 44 counties of Idaho. This layer has information for all cities within Idaho regarding the county population common behaviors for 2024.For more information on how the data is curated for the Enrich tool please go the link below. 2024/2029 Esri Updated Demographics

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/.

Key Table Information.Table Title.State and Local Government Employment and Payroll Data: U.S. and States: 2017 - 2024.Table ID.GOVSTIMESERIES.GS00EP01.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.2025-03-27.Release Schedule.The Annual Survey of Public Employment & Payroll occurs every year, except in Census years. Data are typically released yearly in the first quarter. There is approximately one year between the reference period and data release. Revisions to published data occur annually for the next two years. Census of Governments years, those ending in '2' and '7' may have slightly later releases due to extended processing time..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.Full-time and part-time employmentFull-time and part-time payrollPart-time hours worked (prior to 2019)Full-time equivalent employmentTotal full-time and part-time employmentTotal full-time and part-time payrollDefinitions 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..Unit(s) of Observation.The basic reporting unit is the governmental unit, defined as an organized entity which in addition to having governmental character, has sufficient discretion in the management of its own affairs to distinguish it as separate from the administrative structure of any other governmental unit.The reporting units for the Annual Survey of School System Finances are public school sy...

This dataset was utilized a join from enriched tables from ESRI which was curated from the 2020 Census from the United States Census Bureau, American Community Survey (ACS) and for county boundaries created by Office of Information Technology Services Next Generation 9-1-1 team in collaboration with all 44 counties of Idaho. This layer has information for all cities within Idaho regarding the county population common behaviors for 2024.For more information on how the data is curated for the Enrich tool please go the link below. 2024/2029 Esri Updated Demographics

About this dataset

Context

The dataset tabulates the Harris 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 Harris County. The dataset can be utilized to understand the population distribution of Harris County by age. For example, using this dataset, we can identify the largest age group in Harris County.

Key observations

The largest age group in Harris County, GA was for the group of age 60 to 64 years years with a population of 2,690 (7.70%), according to the ACS 2018-2022 5-Year Estimates. At the same time, the smallest age group in Harris County, GA was the 85 years and over years with a population of 352 (1.01%). 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 Harris County is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Harris 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 Harris County Population by Age. You can refer the same here

City map highlighting 2024 qualified census tracts (QCT) in Mesa. Low-Income Housing Tax Credit Qualified Census Tracts must have 50 percent of households with incomes below 60 percent of the Area Median Gross Income (AMGI) or have a poverty rate of 25 percent or more. Maps of Qualified Census Tracts are available at: https://www.huduser.gov/portal/datasets/qct.html

U.S. Census Bureau Index of Economic Activity - IDEA data was reported at -0.700 % in Apr 2025. This records a decrease from the previous number of 0.600 % for Mar 2025. U.S. Census Bureau Index of Economic Activity - IDEA data is updated monthly, averaging 0.070 % from Aug 2004 (Median) to Apr 2025, with 249 observations. The data reached an all-time high of 2.540 % in Mar 2022 and a record low of -7.710 % in Apr 2020. U.S. Census Bureau Index of Economic Activity - IDEA data remains active status in CEIC and is reported by U.S. Census Bureau. The data is categorized under Global Database’s United States – Table US.A: U.S. Census Bureau Index of Economic Activity.

This dataset was derived from federal data collected by the Census Bureau and Environmental Protection Agency and originally made available to the public on July 31, 2024. These data provide both summary and detailed information at the Census block group level for both demographic and environmental indicators.These data were selected from the Harvard Environment and Law Data (HELD) Collection to inform environmental justice in New York State. The data was uploaded to the HELD Collection on December 3rd, 2024 and downloaded by NYSDOS-OPDCI for service to the Geographic Information Gateway via this item on March 18th, 2025.This dataset is intended to act as the basis for various View Layers including:Low Income PopulationPeople of ColorPopulation with less than a High School EducationLinguistically Isolated PopulationPopulation Under 5 Years of AgePopulation Over 64 Years of AgeLead Paint Hazard RiskAir Toxics and Respiratory Hazard RiskAir Quality by Particulate MatterAir Quality by Diesel Particulate MatterOzone ConcentrationTraffic Proximity and VolumeSuperfund (CERCLA) Site ProximityRisk Management Plan Facility ProximityHazardous Waste ProximityWater Pollution Hazard RiskWastewater Discharge

Less Developed Census Tracts are a part of DCA's tax credit incentives programO.C.G.A. § 48-7-40.1(b) requires that DCA also rank the state’s census tracts by December 31 of each year. The census tract detail is applicable to a 2021 tax year beginning on or after January 1, 2021, and includes “less developed” census tracts that are statistically similar to the bottom 71 (Tier 1) counties and are contiguous to at least nine other such tracts. To rank census tracts, DCA uses American Community Survey data available specifically for the less developed census tract designations as of December 31. These “less developed” areas are eligible for benefits similar to Tier 1 counties.Less Developed Census Tracts Information

About this dataset

Context

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

Content

The dataset constitues the following three datasets

• Atglen, PA Age Group Population Dataset: A complete breakdown of Atglen age demographics from 0 to 85 years, distributed across 18 age groups
• Atglen, PA Age Cohorts Dataset: Children, Working Adults, and Seniors in Atglen - Population and Percentage Analysis
• Atglen, PA 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/.

About this dataset

Context

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

Content

The dataset constitues the following three datasets

• Indiana County, PA Age Group Population Dataset: A complete breakdown of Indiana County age demographics from 0 to 85 years, distributed across 18 age groups
• Indiana County, PA Age Cohorts Dataset: Children, Working Adults, and Seniors in Indiana County - Population and Percentage Analysis
• Indiana County, PA 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/.

About this dataset

Context

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

Content

The dataset constitues the following three datasets

• Milton, IL Age Group Population Dataset: A complete breakdown of Milton age demographics from 0 to 85 years, distributed across 18 age groups
• Milton, IL Age Cohorts Dataset: Children, Working Adults, and Seniors in Milton - Population and Percentage Analysis
• Milton, IL 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/.

Summary\r

The 2024 APS Employee Census was administered to eligible Australian Public Service (APS) employees between 6 May and 7 June 2024. Overall, 140,396 APS employees responded to the APS Employee Census in 2024, a response rate of 81%.\r \r The APS Employee Census is an annual employee perception survey of the Australian Public Service workforce. The APS Employee Census has been conducted since 2012 and collects APS employee opinions and perspectives on a range of topics, including employee engagement, wellbeing, and leadership.\r \r The APS Employee Census provides a comprehensive view of the APS and ensures no eligible respondents are omitted from the survey sample, removing sampling bias and reducing sample error. \r \r Please be aware that the very large number of respondents to the APS Employee Census means these files are over 200MB in size. \r \r Downloading and opening these files may take some time.\r \r

Technical notes\r

Three files are available for download.\r \r • 2024 APS Employee Census - Questionnaire: This contains the 2024 APS Employee Census questionnaire.\r \r • 2024 APS Employee Census - 5 point dataset with data values: This CSV file contains individual responses to the 2024 APS Employee Census as clean, tabular data as required by data.gov.au. This will need to be used in conjunction with the above document. Data in this file are presented as data values.\r \r • 2024 APS Employee Census - 5 point dataset with data labels: This CSV file contains individual responses to the 2024 APS Employee Census as clean, tabular data as required by data.gov.au. This will need to be used in conjunction with the above document. Data in this file are presented as data labels.\r \r • 2024 APS Employee Census - 5 point dataset.sav: This file contains individual responses to the 2024 APS Employee Census for use with the SPSS software package. \r \r • 2024 APS Employee Census - data dictionary: This file contains a list of variables and labels within the APS Employee Census.\r \r To protect the privacy and confidentiality of respondents to the 2024 APS Employee Census, the datasets provided on data.gov.au include responses to a limited number of demographic or other attribute questions.\r \r \r Full citation of this dataset should list the Australian Public Service Commission (APSC) as the author. \r \r A recommended short citation is: 2024 APS Employee Census, Australian Public Service Commission. \r \r Any queries can be directed to research@apsc.gov.au.\r

This dataset contains model-based place (incorporated and census designated places) estimates in GIS-friendly format. PLACES covers the entire United States—50 states and the District of Columbia —at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2022 or 2021 data, Census Bureau 2020 population estimates, and American Community Survey (ACS) 2018–2022 estimates. The 2024 release uses 2022 BRFSS data for 36 measures and 2021 BRFSS data for 4 measures (high blood pressure, high cholesterol, cholesterol screening, and taking medicine for high blood pressure control among those with high blood pressure) that the survey collects data on every other year. These data can be joined with the 2020 Census place boundary file in a GIS system to produce maps for 40 measures at the place level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software. https://cdcarcgis.maps.arcgis.com/home/item.html?id=3b7221d4e47740cab9235b839fa55cd7

This dataset contains model-based census tract estimates. PLACES covers the entire United States—50 states and the District of Columbia—at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. The dataset includes estimates for 40 measures: 12 for health outcomes, 7 for preventive services use, 4 for chronic disease-related health risk behaviors, 7 for disabilities, 3 for health status, and 7 for health-related social needs. These estimates can be used to identify emerging health problems and to help develop and carry out effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2022 or 2021 data, Census Bureau 2020 population data, and American Community Survey 2018–2022 estimates. The 2024 release uses 2022 BRFSS data for 36 measures and 2021 BRFSS data for 4 measures (high blood pressure, high cholesterol, cholesterol screening, and taking medicine for high blood pressure control among those with high blood pressure) that the survey collects data on every other year. More information about the methodology can be found at www.cdc.gov/places.

apportionments_pop_2021_pred_2024.xlsx This is a dataset containing prediction apportionments of seats for the 2024 election of the European Parliament (EP). This prediction is based on population data from the 2021 census held by Eurostat. See our paper for the standard function, configurations of parameters, and d-rounding rules we used for calculation. Note: We recommend readers who are not so well informed about apportionment problems and rounding rules see https://www.census.gov/library/video/2021/what-is-apportionment.html or https://www.census.gov/history/www/reference/apportionment/methods_of_apportionment.html.

Data interpretations for this dataset are as follows. 4 worksheets: all: prediction apportionment results of all configurations under the assumption that the membership remains unchanged and the total number of seats is between 705 (current total number of seats) and 750 (statutory threshold). no_lose: prediction apportionment results under the following assumptions: (1) the membership remains unchanged; (2) any Member State does not lose any seats from the current distribution of seats; (3) and the total number of seats is between 705 and 750. increase_no_lose: prediction apportionment results under the following assumptions: (1) the membership remains unchanged; (2) any Member State with an increasing population does not lose any seats from the current distribution of seats; (3) and the total number of seats is between 705 and 750. response: prediction apportionment results under the following assumptions: (1) the membership remains unchanged; (2) any Member State with an increasing population does not lose any seats from the current distribution of seats while any Member State with a decreasing population does not gain seats; (3) and the total number of seats is between 705 and 750. Meanings of column names: State: name of Member State of the European Union p_2011: population data from the 2011 census (data source: https://ec.europa.eu/eurostat/web/population-demography/population-housing-censuses/database) p_2021: population data from the 2021 census (data source: https://ec.europa.eu/eurostat/statistics-explained/index.php?title=Population_and_housing_census_2021_-_population_grids&stable=1#Distribution_of_European_population) stat_2020: current distribution of seats in the EP (data source: https://www.europarl.europa.eu/news/en/headlines/eu-affairs/20180126STO94114/infographic-how-many-seats-does-each-country-get-in-in-the-european-parliament) other columns: composed in the order of "a", "gamma", "d-rounding rule", and "the total number of seats (S)".

indexes_pop_2021_pred_2024.csv This is a dataset presenting the extent of the PSI-based inequality index (index based on Population Seat Index) and the conventional PSP-based index (index based on the proportion of seats to population) of all prediction apportionments of seats for the 2024 election of the European Parliament (EP). This prediction is based on population data from the 2021 census held by Eurostat. See our paper for the standard function, configurations of parameters, and d-rounding rules used for calculation and the PSI-based index and PSP-based index used for evaluation. Data interpretations for this dataset are as follows. Meanings of column names: a: configuration of the standard function gamma: configuration of the standard function rounding: d-rounding rule used for obtaining a whole number S: the total number of seats in the prediction x_min: the minimum number of seats in the prediction apportionment x_max: the maximum number of seats in the prediction apportionment inequality index: maximum of PSI divided by minimum of PSI psp_max/psp_min: maximum of PSP divided by minimum of PSP

The 2024 Census Subdivision Boundary File depicts the boundaries of all 5,028 census subdivisions, which combined, cover all of Canada. It contains the unique identifier (UID), name and type, as well as the UIDs, names and types (where applicable) of selected higher geographic levels. The 2024 Census Subdivision Boundary File is portrayed in Lambert conformal conic projection (North American Datum of 1983 [NAD83]) and is available as a national file.

Source: U.S. Census Bureau; Poverty Thresholds for 2024 by Size of Family and Number of Related Children Under 18 Years. https://www.census.gov/data/tables/time-series/demo/income-poverty/historical-poverty-thresholds.html. (Retrieved 2 April 2025).

This dataset was utilized a join from enriched tables from ESRI which was curated from the 2020 Census from the United States Census Bureau, American Community Survey (ACS) and for county boundaries created by Office of Information Technology Services Next Generation 9-1-1 team in collaboration with all 44 counties of Idaho. This layer has information for all cities within Idaho regarding the county population common behaviors for 2024.For more information on how the data is curated for the Enrich tool please go the link below. 2024/2029 Esri Updated Demographics