The Bureau of the Census has released Census 2000 Summary File 1 (SF1) 100-Percent data. The file includes the following population items: sex, age, race, Hispanic or Latino origin, household relationship, and household and family characteristics. Housing items include occupancy status and tenure (whether the unit is owner or renter occupied). SF1 does not include information on incomes, poverty status, overcrowded housing or age of housing. These topics will be covered in Summary File 3. Data are available for states, counties, county subdivisions, places, census tracts, block groups, and, where applicable, American Indian and Alaskan Native Areas and Hawaiian Home Lands. The SF1 data are available on the Bureau's web site and may be retrieved from American FactFinder as tables, lists, or maps. Users may also download a set of compressed ASCII files for each state via the Bureau's FTP server. There are over 8000 data items available for each geographic area. The full listing of these data items is available here as a downloadable compressed data base file named TABLES.ZIP. The uncompressed is in FoxPro data base file (dbf) format and may be imported to ACCESS, EXCEL, and other software formats. While all of this information is useful, the Office of Community Planning and Development has downloaded selected information for all states and areas and is making this information available on the CPD web pages. The tables and data items selected are those items used in the CDBG and HOME allocation formulas plus topics most pertinent to the Comprehensive Housing Affordability Strategy (CHAS), the Consolidated Plan, and similar overall economic and community development plans. The information is contained in five compressed (zipped) dbf tables for each state. When uncompressed the tables are ready for use with FoxPro and they can be imported into ACCESS, EXCEL, and other spreadsheet, GIS and database software. The data are at the block group summary level. The first two characters of the file name are the state abbreviation. The next two letters are BG for block group. Each record is labeled with the code and name of the city and county in which it is located so that the data can be summarized to higher-level geography. The last part of the file name describes the contents . The GEO file contains standard Census Bureau geographic identifiers for each block group, such as the metropolitan area code and congressional district code. The only data included in this table is total population and total housing units. POP1 and POP2 contain selected population variables and selected housing items are in the HU file. The MA05 table data is only for use by State CDBG grantees for the reporting of the racial composition of beneficiaries of Area Benefit activities. The complete package for a state consists of the dictionary file named TABLES, and the five data files for the state. The logical record number (LOGRECNO) links the records across tables.

Total Population of Regions, Counties, Towns, and Cities - 2010 and 2020

State estimates for these years are no longer available due to methodological concerns with combining 2019 and 2020 data. We apologize for any inconvenience or confusion this may causeBecause of the COVID-19 pandemic, most respondents answered the survey via the web in Quarter 4 of 2020, even though all responses in Quarter 1 were from in-person interviews. It is known that people may respond to the survey differently while taking it online, thus introducing what is called a mode effect.When the state estimates were released, it was assumed that the mode effect was similar for different groups of people. However, later analyses have shown that this assumption should not be made. Because of these analyses, along with concerns about the rapid societal changes in 2020, it was determined that averages across the two years could be misleading.For more detail on this decision, see the 2019-2020state data page.

California was the state with the highest resident population in the United States in 2024, with 39.43 million people. Wyoming had the lowest population with about 590,000 residents. Living the American Dream Ever since the opening of the West in the United States, California has represented the American Dream for both Americans and immigrants to the U.S. The warm weather, appeal of Hollywood and Silicon Valley, as well as cities that stick in the imagination such as San Francisco and Los Angeles, help to encourage people to move to California. Californian demographics California is an extremely diverse state, as no one ethnicity is in the majority. Additionally, it has the highest percentage of foreign-born residents in the United States. By 2040, the population of California is expected to increase by almost 10 million residents, which goes to show that its appeal, both in reality and the imagination, is going nowhere fast.

Excel spreadsheet with County, Tract, Block Group and Place level data from the 2020 Census Redistricting Data for the state of Ohio.Source of data - U.S. Census Bureau 2020 Decennial Census P.L. 94-171 Redistricting Data released August 12, 2021

This excel contains results from the 2017 State of Narragansett Bay and Its Watershed Technical Report (nbep.org), Chapter 4: "Population." The methods for analyzing population were developed by the US Environmental Protection Agency ORD Atlantic Coastal Environmental Sciences Division in collaboration with the Narragansett Bay Estuary Program and other partners. Population rasters were generated using the USGS dasymetric mapping tool (see http://geography.wr.usgs.gov/science/dasymetric/index.htm) which uses land use data to distribute population data more accurately than simply within a census mapping unit. The 1990, 2000, and 2010 10m cell population density rasters were produced using Rhode Island state land use data, Massachusetts state land use, Connecticut NLCD land use data, and U.S. Census data. To generate a population estimate (number of persons) for any given area within the boundaries of this raster, NBEP used the the Zonal Statistics as Table tool to sum the 10m cell density values within a given zone dataset (e.g., watershed polygon layer). Results presented include population estimates (1990, 2000, 2010) as well as calculation of acres of developed lands per 100 persons and percent change in estimated population (1990-2000; 2000-2010; 1990-2010).

About this dataset

Context

The dataset tabulates the Excel 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 Excel 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 2022, the population of Excel was 539, a 1.46% decrease year-by-year from 2021. Previously, in 2021, Excel population was 547, a decline of 1.08% compared to a population of 553 in 2020. Over the last 20 plus years, between 2000 and 2022, population of Excel decreased by 36. In this period, the peak population was 713 in the year 2010. 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 2022

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2022)
• Population: The population for the specific year for the Excel is shown in this column.
• Year on Year Change: This column displays the change in Excel 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 Excel Population by Year. You can refer the same here

Race Demographics in the 2010 CensusThis feature layer, utilizing data from the U.S. Census Bureau (USCB), contains demographics about race and ethnicity in the 2010 U.S. Census. The data is provided for state, county, tract, and block group geographies. These attributes cover topics such as the count of population, householder information, and family type by race/ethnicity.Per the Census, "Also known as the Population and Housing Census, the Decennial U.S. Census is designed to count every resident in the United States. It is mandated by Article I, Section 2 of the Constitution and takes place every 10 years. The data collected by the decennial census determine the number of seats each state has in the U.S. House of Representatives and is also used to distribute hundreds of billions of dollars in federal funds to local communities."There are four layers: state, county, census tract, and census block group. Each layer contains the same set of demographic attributes. Each geography level has a viewing range optimal for the geography size, and the map has increasing detail as you zoom in to smaller areas. Only one geography is in view at any time.Race Demographics in the 2010 CensusData currency: 2010For more information: Race and Ethnicity in the United States: 2010 Census and 2020 CensusFor feedback please contact: ArcGIScomNationalMaps@esri.comData Processing notes:State and county boundaries are simplified representations offered from the Census Bureau's 2010 MAF/TIGER databaseTract and block group boundaries are 2010 TIGER boundaries with select water area boundaries erased (coastlines and major water bodies)Field names and aliases are processed by Esri as created for the ArcGIS Platform.For a list of fields and alias names, access the following excel document.U.S. Census BureauPer USCB, "the Census Bureau is the federal government’s largest statistical agency. We are dedicated to providing current facts and figures about America’s people, places, and economy. Federal law protects the confidentiality of all the information the Census Bureau collects."

About this dataset

Context

The dataset tabulates the Excel township 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 Excel township 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 Excel township was 300, a 0.99% decrease year-by-year from 2022. Previously, in 2022, Excel township population was 303, a decline of 0.98% compared to a population of 306 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Excel township increased by 17. In this period, the peak population was 308 in the year 2020. 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 Excel township is shown in this column.
• Year on Year Change: This column displays the change in Excel township 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 Excel township Population by Year. You can refer the same here

Graph and download economic data for Population, Total for United States (POPTOTUSA647NWDB) from 1960 to 2024 about population and USA.

Age and Gender Demographics in the 2010 Census This feature layer, utilizing data from the U.S. Census Bureau, displays 2010 demographics about age and gender in the U.S. for state, county, tract, and block group geographies. Per USCB, "Focusing on a population’s age and sex composition is one of the most basic ways to understand population change over time." The attributes cover topics such as population counts by 5-year age ranges, male and female population counts, and median age values. A small subset of attributes from the 2000 Census are also included as reference.The U.S. Census counts every resident in the United States. It is mandated by Article I, Section 2 of the Constitution and takes place every 10 years. The data collected by the decennial census determine the number of seats each state has in the U.S. House of Representatives and is also used to distribute billions in federal funds to local communities. Four layers are available: state, county, census tract, and census block group. Each layer contains the same set of demographic attributes. Each geography level has a viewing range optimal for the geography size, and the map has increasing detail as you zoom in to smaller areas. Only one geography is in view at any time. Wisconsin Census Tract: 550791851.00Data currency: 2010Data source: Explore Census DataData modification: NoneFor more information: Population Profiles 2010State and county boundaries are simplified representations offered from the Census Bureau's 2010 MAF/TIGER databaseTract and block group boundaries are 2010 TIGER boundaries with select water area boundaries erased (coastlines and major water bodies).For a list of fields and alias names, access the following excel document.For feedback please contact: ArcGIScomNationalMaps@esri.com U.S. Census Bureau Per USCB, “the Census Bureau is the federal government’s largest statistical agency. We are dedicated to providing current facts and figures about America’s people, places, and economy. Federal law protects the confidentiality of all the information the Census Bureau collects.”

Household Demographics in the 2010 Census This feature layer contains demographics about households as reported by the U.S. Census Bureau (USCB) in the 2010 U.S. Census. These attributes cover topics such as household types, household size, nonfamily households, householder age, and households with children. A small subset of attributes from the 2000 Census are also included as reference.Per the Census, "Also known as the Population and Housing Census, the Decennial U.S. Census is designed to count every resident in the United States. It is mandated by Article I, Section 2 of the Constitution and takes place every 10 years. The data collected by the decennial census determine the number of seats each state has in the U.S. House of Representatives and is also used to distribute hundreds of billions of dollars in federal funds to local communities." Four layers are available: state, county, census tract, and census block group. Each layer contains the same set of demographic attributes. Each geography level has a viewing range optimal for the geography size, and the map detail increases when zooming to local areas. Only one geography is in view at any time. Household Demographics 2010 CensusData currency: 2010Data download: Explore Census DataFor more information: Households and Families: 2010For feedback please contact: ArcGIScomNationalMaps@esri.com Data Processing notes:State and county boundaries are simplified representations offered from the Census Bureau's 2010 MAF/TIGER databaseTract and block group boundaries are 2010 TIGER boundaries with select water area boundaries erased (coastlines and major water bodies)Field names and aliases are processed by Esri as created for the ArcGIS Platform.For a list of fields and alias names, access the following excel document. U.S. Census Bureau Per USCB, “the Census Bureau is the federal government’s largest statistical agency. We are dedicated to providing current facts and figures about America’s people, places, and economy. Federal law protects the confidentiality of all the information the Census Bureau collects.”

In 2023, Washington, D.C. had the highest population density in the United States, with 11,130.69 people per square mile. As a whole, there were about 94.83 residents per square mile in the U.S., and Alaska was the state with the lowest population density, with 1.29 residents per square mile. The problem of population density Simply put, population density is the population of a country divided by the area of the country. While this can be an interesting measure of how many people live in a country and how large the country is, it does not account for the degree of urbanization, or the share of people who live in urban centers. For example, Russia is the largest country in the world and has a comparatively low population, so its population density is very low. However, much of the country is uninhabited, so cities in Russia are much more densely populated than the rest of the country. Urbanization in the United States While the United States is not very densely populated compared to other countries, its population density has increased significantly over the past few decades. The degree of urbanization has also increased, and well over half of the population lives in urban centers.

The Census Bureau released revised delineations for urban areas on December 29, 2022. The new criteria (contained in this Federal Register Notice) is based primarily on housing unit density measured at the census block level. The minimum qualifying threshold for inclusion as an urban area is an area that contains at least 2,000 housing units or has a population of at least 5,000 persons. It also eliminates the classification of areas as “urban clusters/urbanized areas”. This represents a change from 2010, where urban areas were defined as areas consisting of 50,000 people or more and urban clusters consisted of at least 2,500 people but less than 50,000 people with at least 1,500 people living outside of group quarters. Due to the new population thresholds for urban areas, 36 urban clusters in California are no longer considered urban areas, leaving California with 193 urban areas after the new criteria was implemented.

The State of California experienced an increase of 1,885,884 in the total urban population, or 5.3%. However, the total urban area population as a percentage of the California total population went down from 95% to 94.2%. For more information about the mapped data, download the Excel spreadsheet here.

Please note that some of the 2020 urban areas have different names or additional place names as a result of the inclusion of housing unit counts as secondary naming criteria.

Please note there are four urban areas that cross state boundaries in Arizona and Nevada. For 2010, only the parts within California are displayed on the map; however, the population and housing estimates represent the entirety of the urban areas. For 2020, the population and housing unit estimates pertains to the areas within California only.

Data for this web application was derived from the 2010 and 2020 Censuses (2010 and 2020 Census Blocks, 2020 Urban Areas, and Counties) and the 2016-2020 American Community Survey (2010 -Urban Areas) and can be found at data.census.gov.

For more information about the urban area delineations, visit the Census Bureau's Urban and Rural webpage and FAQ.

To view more data from the State of California Department of Finance, visit the Demographic Research Unit Data Hub.

Bee Colony Dynamics

U.S. Survey and Census Data

By Brenda Griffith [source]

About this dataset

This dataset provides access to the rich and expansive bee colony contribution information captured by the United States Department of Agriculture National Agricultural Statistics Service Quick Stats Dataset. Here, you will find survey data by state and census data by county, which can help inform decision-making and research related to beekeeping practices.
Our dataset also covers Bee Informed Partnership's original data on bee colony loss in the U.S., including percentages of colonies exclusive to each state, total winter all loss, number of beekeepers exclusive to each state, as well as overall percentage of populations experiencing losses during a given period. With this valuable data at hand, it becomes easier for policymakers, business owners and researchers to make well informed decisions that help protect our nation's most important pollinators!

More Datasets

For more datasets, click here.

Featured Notebooks

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How to use the dataset

The first three datasets contain information on colonies and their management while BIP Bee Loss Clean contains information specifically related to bees’ losses during specific periods and years throughout all 50 states. For each dataset there is a “Search Criteria” excel file which provides more details about what data was collected from each set in order for you to better understand it when looking at query results or performing features/dimensionality reduction analyses based on these criteria one might want different levels of aggregation available for his/her use case wherein he can get helpful insights form both state-level as well as county-level granularities wrapped up together into one entity that can help one draw connections between them over time for example . The datasets include fields such as year, period, state code, agricultural district code, watershed code, region and various others related to the characteristics of colonies and their management in different states over multiple years (from 2017–2020). Depending upon your analysis task or outcome you would like perform afterwards you can carefully choose columns/parameters that best serve your purpose accordingly else it would be bear more processing resources than necessary also consequentlly reducing efficiency overall due sacrificing optimal functioning capabilities at least partiually especially regarding system resources being consumed thereby possibly resulting into noteworthy performance degradation overall , quite obviously hence needful for optimal performance & computational efficiencies unique requisites .

You may also look at other similar data collections such as EPA's official Pollutant Release Inventory or PRI dataset which provides pollutant releases(emissions & transfers) along provide additional relevant insights obtained via analysis corresponding pollutants released across varius waetedbodies & farms within US& respective impacts upon ecosystems^ eco services etc etc ..Meanwhile during Mining IT recource consideration should be given particular attention regarding any redundant preprocessing steps if possible execution done

Research Ideas

• Developing an app or device to help beekeepers track their hive health and productivity over time. This could include tracking population of bees, diseases and pests in their hives, and performance in producing honey.
• Analyzing the data to identify geographical regions with the most favorable conditions for successful bee colonies, which can then be used to better inform prospective new beekeepers as well as eager honey consumers looking for ethically sourced honey products.
• Examining how trends in pollen sources available affect beehive production by correlating census data with changes in local flora or climate over time (e.g., studying areas experiencing severe drought vs those with abundant blooming plants)

Acknowledgements

If you use this dataset in your research, please credit the original authors. Data Source

License

License: Dataset copyright by authors - You are free to: - Share - copy and redistribute the material in any medium or format for any purpose, even commercially. - Adapt - remix, transform, and build upon the material for any purpose, even commercially. - You must: - Give appropriate credit - Provide a link to the license, and indicate if changes were made. - ShareAlike - You must distribute your contributions u...

This feature layer contains demographics about age and gender as reported by the U.S. Census Bureau (USCB) in the 2010 U.S. Census. These attributes cover topics such as population counts by 5-year age ranges, male and female population counts, and median age values. A small subset of attributes from the 2000 Census are also included as reference.The U.S. Census counts every resident in the United States. It is mandated by Article I, Section 2 of the Constitution and takes place every 10 years. The data collected by the decennial census determine the number of seats each state has in the U.S. House of Representatives and is also used to distribute billions in federal funds to local communities. Four layers are available: state, county, census tract, and census block group. Each layer contains the same set of demographic attributes. Each geography level has a viewing range optimal for the geography size, and the map has increasing detail as you zoom in to smaller areas. Only one geography is in view at any time.Data currency: 2010Data Source: American Fact FinderFor more information: 2010 Census Demographic ProfileFor feedback please contact: ArcGIScomNationalMaps@esri.comData Processing notes:State and county boundaries are simplified representations offered from the Census Bureau's 2010 MAF/TIGER databaseTract and block group boundaries are 2010 TIGER boundaries with select water area boundaries erased (coastlines and major water bodies). Field names and aliases are processed by Esri as created for the ArcGIS Platform.For a list of fields and alias names, access the following excel document.Other Federal User Community federally focused content that may interest youDepartment of CommerceOpen Data: USDOC

Context

The United States Census Bureau conducts annual surveys to assess the finances of elementary and high schools. This data has been programmatically organized here in two files; one for school districts (districts.csv) and one for states (states.csv).

Also included is a summary of data from the NAEP (National Assessment of Educational Progress), contained in naep.csv.

Content

districts.csv A comma-separated spreadsheet containing revenues and expenditures for all U.S. school districts, 1992-2016.

STATE,ENROLL,NAME,YRDATA,TOTALREV,TFEDREV,TSTREV,TLOCREV,TOTALEXP,TCURINST,TCURSSVC,TCURONON,TCAPOUT
Alabama,9609,AUTAUGA COUNTY SCHOOL DISTRICT,2016,80867,7447,53842,19578,76672,43843,23941,6401,1506
Alabama,30931,BALDWIN COUNTY SCHOOL DISTRICT,2016,338236,23710,145180,169346,299880,164977,97231,19439,9749
Alabama,912,BARBOUR COUNTY SCHOOL DISTRICT,2016,10116,2342,5434,2340,10070,4907,3896,975,110

states.csv A comma-separated spreadsheet containing state summaries of revenues and expenditures, organized by year.

STATE,YEAR,ENROLL,TOTAL_REVENUE,FEDERAL_REVENUE,STATE_REVENUE,LOCAL_REVENUE,TOTAL_EXPENDITURE,INSTRUCTION_EXPENDITURE,SUPPORT_SERVICES_EXPENDITURE,OTHER_EXPENDITURE,CAPITAL_OUTLAY_EXPENDITURE
Alabama,1992,,2678885,304177,1659028,715680,2653798,1481703,735036,,174053
Alaska,1992,,1049591,106780,720711,222100,972488,498362,350902,,37451
Arizona,1992,,3258079,297888,1369815,1590376,3401580,1435908,1007732,,609114

naep.csv A comma-seperated spreadsheet containing state performance on mathematics and reading tests, for 4th and 8th grade on a selection of years.

YEAR,STATE,AVG_SCORE,TEST_SUBJECT,TEST_YEAR
2017,Alabama,232.170687741509,Mathematics,4
2017,Alaska,230.456277558902,Mathematics,4
2017,Arizona,234.435788152091,Mathematics,4

Be warned, some data will be NaN's (most notably, the 1992 records contain no data for enrollment).

Data was created from the spreadsheets in elsec.zip (taken from the U.S. Census Bureau site) using chew_data.py and state_summary.py. Column names are documented in school15doc.pdf.

Sources

https://www.census.gov/programs-surveys/school-finances/data/tables.html

https://www.nationsreportcard.gov/ndecore/landing

Changelog

[v 0.2] Added data from 1993-2001. Data is now harvested from the main spreadsheets instead of the summary spreadsheets. Data by school district is now available.

[v 0.3] Added 1992 data. Added enrollment data for all years except 1992 (unavailable).

[v 0.4] Straightening a few things out as I play with the data in my own kernel. Changed "program_other_expenditure" to "other_expenditure" and fixed chew_data.py to properly pull that information. Removed "non-elsec" funding and "program_current_expenditure" columns.

[v 0.5] Added 2016 data. My limited testing says that it worked, but I should probably keep an eye out for possible issues.

[v 0.6] Major code refactoring. Changed filenames to be a little more intuitive. Added a main function. Added NAEP data.

Free U.S. ZIP Code Database with 7 essential data fields for personal use. Includes all 42,000+ ZIP codes with city, state, latitude, longitude, classification, and 2020 Census population. Updated monthly with lifetime access. Download in CSV, Excel, Access, and SQL formats at no cost. Perfect for educational projects, address validation, basic mapping, and personal applications. No credit card required.

The Current Population Survey Civic Engagement and Volunteering (CEV) Supplement is the most robust longitudinal survey about volunteerism and other forms of civic engagement in the United States. Produced by AmeriCorps in partnership with the U.S. Census Bureau, the CEV takes the pulse of our nation’s civic health every two years. The data on this page was collected in September 2021. The CEV can generate reliable estimates at the national level, within states and the District of Columbia, and in the largest twelve Metropolitan Statistical Areas to support evidence-based decision making and efforts to understand how people make a difference in communities across the country. Click on "Export" to download and review an excerpt from the 2021 CEV Analytic Codebook that shows the variables available in the analytic CEV datasets produced by AmeriCorps. Click on "Show More" to download and review the following 2021 CEV data and resources provided as attachments: 1) 2021 CEV Dataset Fact Sheet – brief summary of technical aspects of the 2021 CEV dataset. 2) CEV FAQs – answers to frequently asked technical questions about the CEV 3) Constructs and measures in the CEV 4) 2021 CEV Analytic Data and Setup Files – analytic dataset in Stata (.dta), R (.rdata), SPSS (.sav), and Excel (.csv) formats, codebook for analytic dataset, and Stata code (.do) to convert raw dataset to analytic formatting produced by AmeriCorps. These files were updated on January 16, 2025 to correct erroneous missing values for the ssupwgt variable. 5) 2021 CEV Technical Documentation – codebook for raw dataset and full supplement documentation produced by U.S. Census Bureau 6) Nonresponse Bias Analysis produced by U.S. Census Bureau 7) 2021 CEV Raw Data and Read In Files – raw dataset in Stata (.dta) format, Stata code (.do) and dictionary file (.dct) to read ASCII dataset (.dat) into Stata using layout files (.lis)

Housing Demographics in the 2010 Census This feature layer contains demographics about housing as reported by the U.S. Census Bureau (USCB) in the 2010 U.S. Census. These attributes cover topics such as owner status of housing units (vacant, owner, renter), count of residents per housing unit, and housing unit by householder age. A small subset of attributes from the 2000 Census are also included as reference.Per the Census, “Also known as the Population and Housing Census, the Decennial U.S. Census is designed to count every resident in the United States. It is mandated by Article I, Section 2 of the Constitution and takes place every 10 years. The data collected by the decennial census determine the number of seats each state has in the U.S. House of Representatives and is also used to distribute hundreds of billions of dollars in federal funds to local communities.”Four layers are available: state, county, census tract, and census block group. Each layer contains the same set of demographic attributes. Each geography level has a viewing range optimal for the geography size, and the map has increasing detail as you zoom in to smaller areas. Only one geography is in view at any time. Housing Demographics 2010 CensusData currency: 2010Data modification: NoneData source: Explore Census DataFor more information: Households and Families: 2010For feedback, please contact: ArcGIScomNationalMaps@esri.comData Processing notes:State and county boundaries are simplified representations offered from the Census Bureau's 2010 MAF/TIGER databaseTract and block group boundaries are 2010 TIGER boundaries with select water area boundaries erased (coastlines and major water bodies)Field names and aliases are processed by Esri as created for the ArcGIS Platform.For a list of fields and alias names, access the following excel document. U.S. Census Bureau Per USCB, “the Census Bureau is the federal government’s largest statistical agency. We are dedicated to providing current facts and figures about America’s people, places, and economy. Federal law protects the confidentiality of all the information the Census Bureau collects.”