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-- 2013-17 5-Year Estimates January 2019. This section is focused on American Community Survey (ACS) 2017 5-year estimates access, integration and use of these data with other data. Census 2010 and ACS 2017 provide the most current Census-sourced demographics for wide-ranging geography. The release date for data described in this section was December 6, 2018. See updates & applications below. Patterns of Median Household Income %Change by ZIP Code Area .. an example of one application .. the graphic below shows patterns of economic prosperity using ACS 2017 $MHI by ZIP code area. The view is focused on Houston/Harris County, TX area; counties shown with bold black boundary. Click graphic for larger view and details; expand to full screen for best view.  - View developed using CV XE GIS and related GIS project. - see related section with interactive table using ACS 2017 5-year estimates. Topics • Updates & Applications .. interactive tables; GIS resources; studies/briefs • Release Dates and Data Resource Overview • Reference -- table shells, etc. • Using ACS Data; ACS 1-Year versus ACS 5-Year Data • Areas Published • API Access -- accessing these data via API calls (opens new page) This section is updated periodically. Register to receive updates. See related sections: • ACS 2017 1-year estimates section • ACS 2016 5-year estimates section Updates & Applications -- Interactive Tables; GIS Resources; Studies/Briefs .. go top This sub-section is progressively updated with links to access ACS 2017 data via interactive tables, datasets, analytical reports, and through use of GIS & analytical tools.
• U.S. by ZIP Code Area: Demographic Change since 2010 - 12/11/18
.. examine ACS2012, ACS 2017 and 5-year change change • School District Demographic Economic Interactive Tables - 01/17/19 .. 4 sections/files .. General Demographics .. Social .. Economic .. Housing • Census Tract Demographic-Economic Characteristics - 01/25/19 .. 4 sections/files .. General Demographics .. Social .. Economic .. Housing ACS Data Release Dates • 2017 ACS 1-year estimates .. September 13, 2018 .. estimates for areas 65,000 population and over • 2017 ACS 1-year PUMS data .. October 18, 2018 .. microdata data for custom estimates and individual modeling • 2017 ACS 1-year supplemental estimates .. October 18, 2018 .. selected 1 year estimates for areas 20,000 population and over • 2017 ACS 5-year estimates .. this section .. December 6, 2018 .. estimates for all areas down to block group level • 2017 ACS 5-year PUMS data .. January 17, 2019 .. microdata data for custom estimates and individual modeling Importance of ACS: Assessing Demographic-Economic Change Oil prices plummeted in late 2014. How has this affected people and households in areas hardest hit? Find out for wide-ranging geographies using the ACS 1-year estimates. Compare to earlier 1-year estimates. Demographic-economic conditions change for many reasons; oil price changes are just one.
Reference .. go top • ACS 2017 Questionnaire • Summary File Technical Documentation • ACS 2017 Tables Shells • ACS 2017 5-year Sequence Table Lookup • ACS 2017 5-Year Appendices Using ACS Data; ACS 1-Year versus ACS 5-Year Data .. top The American Community Survey (ACS) provides data 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 to develop current estimates on these topics and 5-year projections. 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 5-year estimates • the data are not available for census tracts and ZIP code areas. • the data are available for only areas of 65,000 population and over. • the margin of error (MOE) of the estimate is normally larger that for the 5-year estimates. Additional cautions in comparing estimates over time • ACS 2012 5 year estimates are based on survey respondent data for the years 2008 through 2012. • ACS 2013 5 year estimates are based on survey respondent data for the years 2009 through 2013. • ACS 2014 5 year estimates are based on survey respondent data for the years 2010 through 2014. • ACS 2015 5 year estimates are based on survey respondent data for the years 2011 through 2015. • ACS 2016 5 year estimates are based on survey respondent data for the years 2012 through 2016. • ACS 2017 5 year estimates are based on survey respondent data for the years 2013 through 2017. • The ACS 2012 5 year data & ACS 2013 5 year data are based on the same respondent data for the four years 2009 through 2012. • The ACS 2013 5 year estimates drop 2008 respondents and add 2013 respondents. • The ACS 2014 5 year estimates drop 2009 respondents and add 2014 respondents. • The ACS 2015 5 year estimates drop 2010 respondents and add 2015 respondents. • The ACS 2016 5 year estimates drop 2011 respondents and add 2016 respondents. • The ACS 2017 5 year estimates drop 2012 respondents and add 2017 respondents. • While 5-year estimates are independently developed annually, they include demographic-economic characteristics for some of the same respondents. Other considerations • Are the needed subject matter available from Census 2010? - ACS more detailed demographic-economic data (like income) may not be a plus. • Census 2010 provides more accurate data than ACS estimates. • Often there are more detailed age (and other) breakouts for subject matter in Census 2010 compared to ACS. • The most recent ACS-sourced small area data are from ACS 2017 (December 2018) 5-year estimates; - ACS 2017 5-year estimates are centric to 2015. 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; 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 2016. * Counts based on geographic area boundaries as of January 1, 2017. ** ACS data are not available for census blocks. ProximityOne User Group 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 Data Analytics Lab 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. Follow ProximityOne on Twitter at www.twitter.com/proximityone. 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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