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-- annually updated demographic-economic data to the block group level September 2024 .. Essential data to assess where we are, how things have changed and how things might change in the future down to the sub-neighborhood level. The American Community Survey (ACS) is a nationwide survey designed to provide annually updated demographic-economic data for national and sub-national geography. ACS provides a wide range of important data about people and housing for every community across the nation. The results are used by everyone from planners to retailers to homebuilders and issue stakeholders like you. ACS is a primary source of local data for most of the 40 topics it covers, such as income, education, occupation, language and housing. ProximityOne uses ACS data to develop current estimates on these topics and 5-year projections. This section progressively updates as ACS 2023 data are released; ahead: • 09.12.24. this page updates with ACS 2023 1 year estimate tabulation areas interactive table with selected subject matter Topics in thie Section • Interactive Table ACS 2023 Data Access & Use .. goto top • Web Sessions - accessing, integrating, analyzing these data in context of other geography & subject matter • Demographic Economic Data Explorer (DEDE) - create your own GIS friendly datasets • VDAGIS Suite - map and geospatially analyze these data in context of other geography & subject matter • Interactive Tables - evolving, topic oriented interactive tables ACS 2023 Data Resources .. goto top • 2023 ACS 1-year estimates .. September 12, 2024 .. estimates for areas 65,000 population and over • 2023 ACS 1-year supplemental estimates .. October 17, 2024 .. estimates for areas 20,000 population and over • 2023 ACS 5-year estimates "ACS 2019-2023 5-year period" .. December 12, 2024 .. estimates for all areas down to block group level • 2023 ACS 1-year PUMS data .. October 17, 2024 .. microdata data for custom estimates and individual modeling • 2023 ACS 5-year PUMS data "ACS 2019-2023 5-year period" .. January 23, 2024 .. microdata data for custom estimates and individual modeling • 2023 ACS 1-year Data Profiles .. 119th Congressional Districts .. January 7, 2025 • 2023 ACS 5-year Data Profiles .. Congressional Communities .. March 2025 • 2023 ACS 5-year School District Special Tabulation .. June 2025 ACS 2023 Table Titles .. goto top • Table Titles XLSX • Locate/determine subject matter by searching table titles ACS 2023 Table Shells .. goto top • Table Shells FTP folder • Use to determine items in a table • Useful to set up DEDE subject matter files ACS 2023 Subject Definitions .. goto top • Subject Definitions ACS 2023 Data Profiles - Table Shells XLSX files .. goto top • DP02 - Social Characteristics 154 items • DP03 - Economic Characteristics 137 items • DP04 - Housing Characteristics 143 items • DP05 - General Demographics 94 items • Generic Itemset1 243 items ACS Areas Published by Year .. goto top • Areas published by year • Vintages of legal and statistical boundaries tabluated by ACS tabulation year 2009 forward. • For example, find out that 2020 PUMAs were first used as an ACS tabulation area in ACS 2021. 118th Congressional Districts: ACS 2022 & ACS 2023 Demographic Change Interactive table goto top Data are from the American Community Survey (ACS) 1-year estimates. Click column header to sort; again to sort other direction. Click ShowAll/Reset button between queries to refresh table. Usage notes below table. Interactive Table Usage Notes Operations • Click ShowAll between queries/filters. Items in Table - 118th Congressional District - State - StCD - Population 2022 - Population 2023 - Population 22-23 Change - Population 22-23 %Chg - Employment 2022 - Employment 2023 - Employment 22-23 Change - Employment 22-23 %Chg - Unemployment Rate 2022 - Unemployment Rate 2023 - Unemployment Rate 22-23 Chg - Unemployment Rate 22-23 %Chg • VDAGIS Map Illustrating Patterns of ACS 2023 1 year Unemployment Rate by Congressional District  Using ACS Data; ACS 1-Year versus ACS 5-Year Data .. goto top While ACS 1-year estimates are suitable for time-series analyses, the ACS 5-year estimates are not the same as annual demographic-economic estimates and may not be suitable for annual time series analyses. Advantages of using the 5-year estimates • the data are available for all census tracts and ZIP code areas. • the data are available for all cities/places, counties and school districts irrespective of size. Disadvantages of using the 5-year estimates • the data are older than the 1-year estimates. • the data are for a 5-year period rather than one year. • additional cautions in comparing estimates over time (see below). Advantages of using the 1-year estimates • the data are more recent than the 5-year estimates. • the data are generally more accurate than the 5-year estimates. Disadvantages of using the 1-year estimates • the data are not available for block groups, census tracts and ZIP code areas. • the data are available for only areas of 65,000 population and over. Areas Published .. goto top ... availability of summary statistic data by type of geography ... link in left column provide access to related interactive tables for specific geographic level.
Notes ... 1 County equivalents include Alaska boroughs, municipalities, city and boroughs, and census areas; the District of Columbia; Louisiana parishes; Puerto Rico municipios; independent cities in Maryland, Missouri, Nevada, and Virginia. 2 For 1-year estimates, qualifying Minor Civil Divisions in 20 states only. For 5-year estimates, all county subdivisions. 3 1-year estimates are not produced for this geographic level, regardless of population size. 4 All metropolitan statistical areas receive ACS 1-year estimates. A population minimum of 50,000 is applied instead of the standard 65,000. 5 Legislative session year 2022. * Counts based on geographic area boundaries as of January 1, 2023. ** ACS data are not published for blocks. About the American Community Survey 2024 .. ahead .. goto top The American Community Survey 2024 will be conducted during calendar year 2024. Data from this statistical survey will be available in the fall 2025. The number of ACS respondents is generally 3,576,000 for household respondents; 20,100 for contacts in group quarters; 170,900 people in group quarters; 22,875 households for reinterview; and 1,422 group quarters contacts for reinterview. The total estimated number of respondents is 3,791,297. The average hours per response is 40 minutes for the average household questionnaire; 15 minutes for a group quarters facility questionnaire; 25 minutes for a group quarters person questionnaire; 10 minutes for a household reinterview; 10 minutes for a group quarters-level reinterview. The estimated respondent burden hours is 2,384,000 for household respondents; 5,025 for contacts in group quarters; 71,208 for group quarters residents; 3,813 households for reinterview; and 237 group quarters contacts for reinterview. The estimate is an annual average of 2,464,283 burden hours. ACS needs and uses ... The U.S. Census Bureau requests authorization from the OMB for revisions to the American Community Survey (ACS). The ACS is one of the Department of Commerce's most valuable data products, used extensively by businesses, nongovernmental organizations (NGOs), local governments, and many federal agencies. In conducting this survey, the Census Bureau's top priority is respecting the time and privacy of the people providing information while preserving its value to the public. In 2024, the ACS plans to add internet self-response as an additional option to the group quarters data collection operation. The Census Bureau believes there is value in offering a self-response option to people living in certain types of group quarters—college/university student housing, group homes, military barracks, workers' group living quarters and Job Corps centers, and emergency and transitional shelters. The group quarters data collection operation will continue to offer paper, telephone, and in-person response options to collect data. The Census Bureau is authorized by law (Title 13, U.S. Code) to use existing information that has already been collected by other government agencies, whenever possible and consistent with the kind, timeliness, quality, and scope of the statistics required, instead of asking for such information directly from the public. The Census Bureau is allowed to use these data for statistical purposes only and may not use these records for enforcement purposes or to decide on eligibility for a benefit. Additionally, Census Bureau research has shown that using administrative data can reduce respondent burden and improve the quality of the ACS data. In 2024, the Census Bureau will supplement or replace ACS survey data for the question asking about property acreage. The Census Bureau will continue research to explore how administrative data can be used for other items on the survey, with initial efforts focusing on other housing items, such as agricultural sales and year built. In addition to using administrative records and in coordination with the Office of Management and Budget Interagency Committee for the ACS, the Census Bureau solicited proposals for question changes or additions from more than 20 federal agencies. Approved topics underwent cognitive testing to verify that proposed question wording would be understood by respondents. Based on cognitive testing results, the Census Bureau proposes to update wording in 2024 for questions on three topics: condominium fees, home heating fuel, and journey to work. The Census Bureau proposes to implement these three topics without additional testing; other topics are still undergoing testing. The condominium fees question would be extended to include homeowners association (HOA) fees. Data sources continue to show housing units that are part of HOAs outnumber housing units in condominiums. In order to provide more comprehensive and accurate costs of owning a home, the ACS needs to capture HOA fees for these homes. Adding these fees to the existing condominium fees question avoids adding a new question to the ACS and therefore minimizes respondent burden. The change to the home heating fuel question would update the natural gas and bottled gas categories. This will aid respondents in identifying the correct category more easily by using more commonly used terminology. In Puerto Rico, the question wording also changed to indicate respondents should only include fuel that heats their home. The journey to work question would be updated to include ride-sharing services as a mode of transportation to work to account for new and growing travel trends. This will reduce ambiguity in the current question about where respondents should report ride-sharing commutes and will allow the government to monitor changes in transportation patterns for planning purposes. ProximityOne User Group .. goto top Join the ProximityOne User Group to keep up-to-date with new developments relating to metros and component geography decision-making information resources. Receive updates and access to tools and resources available only to members. Use this form to join the User Group. Support Using these Resources Learn more about accessing and using demographic-economic data and related analytical tools. Join us in a Web session. There is no fee for these one-hour Web sessions. Each informal session is focused on a specific topic. The open structure also provides for Q&A and discussion of application issues of interest to participants. Additional Information ProximityOne develops geodemographic-economic data and analytical tools and helps organizations knit together and use diverse data in a decision-making and analytical framework. We develop custom demographic/economic estimates and projections, develop geographic and geocoded address files, and assist with impact and geospatial analyses. Wide-ranging organizations use our tools (software, data, methodologies) to analyze their own data integrated with other data. Contact us (888-364-7656) with questions about data covered in this section or to discuss custom estimates, projections or analyses for your areas of interest. | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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