Esri provides demographics data from the Census and the American Community Survey (ACS).
Census 2010 data categories offered by Esri include the following:
- Population
- Household
- Housing
- Mortgage status
- Tenure
- Family
- Age
- Race and ethnicity
- And more
Census demographics are point estimates, representing April 1 of the census year.
Esri's ACS data provides much of the information previously available through the decennial census. ACS uses a continuous measurement or "rolling" sample, in which a small percent of the population is sampled every month. The ACS is updated and released more frequently than the decennial census—every year instead of every ten years. Smaller sample sizes and variable collection times have introduced a margin of error into their estimates. ACS data categories offered by Esri include the following:
- Population—Total population, language, poverty
- School and work—School enrollment, travel time and means of transportation to work
- Households—Total households, tenure, families, poverty status, rent, vehicles available, mortgage status
- Housing—Total housing units, number of units in structure, year built
- Health Insurance, public assistance income
Read about Understanding Margin of Error.
Vintage
- Census 2010
- ACS: 2012–2016
Available geographies
Update frequency
- Census—Decennially (Plus annual updates to geographies that are updated annually such as ZIP Codes)
- ACS—Annually
Methodology
Esri uses the following methodology:
Sample reports
The following sample Census and ACS reports are available:
- 2010 Census Profile (PDF)
- ACS Housing Summary (PDF)
- ACS Population Summary (PDF)
- Puerto Rico Census 2010 Profile (PDF)
For more information about reports and the products that contain them, visit Esri's Apps for Everyone.
For information on how many credits are needed to run reports, see Credits by capability.
Variable lists
- American Community Survey (PDF)
- American Community Survey Tract levels (PDF)
- Census 2000 (PDF)
- Census 2010 (PDF)
- Census 2010 PCT (PDF)
How to get it
Esri's Census and ACS demographics data is available in various products including:
- Living Atlas of the World—Access ready-to-use maps.
- ArcGIS Business Analyst
- ArcGIS Community Analyst
- ArcGIS Maps for Office
- ArcGIS Maps for Power BI
- ArcGIS GeoEnrichment Service
- ArcGIS Online— Browse Living Atlas Layers and Enrich Layers
For information about purchasing Esri's Census and ACS demographics data as a stand-alone dataset, contact datasales@esri.com.
Understanding Margin of Error
The Census 2000 sample, with data collected using the "long form", represented approximately 1-in-6 households and one point in time, April 1, 2000. ACS represents approximately 1-in-40 households on a rolling sample basis, but the smaller sample sizes can produce larger sampling errors.
With each ACS estimate, the Census Bureau reports a Margin of Error (MOE), or measure of the variability of the estimate due to sampling error. The MOE enables data users to measure the range of uncertainty around each estimate. For example, if the ACS estimate is 100 and has a MOE of +/- 20, then you can be 90 percent certain the value for the whole population falls between 80 and 120. The larger the MOE, the lower the accuracy of the estimate-and the less confidence one should have that the estimate is close to the true value.
Esri Improves Confidence in Using ACS
Decisions about the quality of an estimate based on the MOE are difficult to make. Esri has simplified this process by adding symbols to flag reliability of data based on sample size. Symbols are based on thresholds of reliability Esri established using an estimate's Coefficient of Variation (CV).
High
Reliability: Small CVs,
less than or equal to 12 percent, are flagged green to indicate
that the sampling error is small relative to the estimate and the
estimate is reasonably reliable.
Medium
Reliability: Estimates
with CVs between 12 and 40 are flagged yellow—use with
caution.
Low
Reliability: Large CVs,
over 40 percent, are flagged red to indicate that the sampling
error is large relative to the estimate. The estimate is considered
very unreliable.
The CV is a measure of relative error in the estimate, calculated as the ratio of the standard error to the estimate itself.
Read an in-depth explanation of Margin of Error from Esri's Data Team.