Skip To Content

Data in Community Analyst

The business and demographic data available through the data browser encompasses a wide variety of datasets that are updated quarterly, semiannually, annually, and decennially.

Esri Demographics provides documentation about all data included with ArcGIS Community Analyst:

Browse data by category

Variables in the data browser are grouped into categories. Select a category to view popular variables, browse subcategories, or show all the variables in the category. Not all categories are available in every country and region.

The following table provides information about data categories:

CategoryDescriptionVariable examples


Population variables provide data about people, including information about age, gender, race and Hispanic origin, households and families, class, internet service, language, and generations.

  • Total Population
  • Total Daytime Population
  • Group Quarters Population
  • Millennial Population (Born 1981 to 1998)


Income variables provide data about people's relationship to money, including information about household income, poverty status, disposable income, home value, and net worth.

  • Median Household Income
  • Average Net Worth: Householder Age 25-34
  • Disposable Income less than $15,000


Age variables provide data about individuals and age groups, including age-specific summarizations of gender, race, and income.

  • Median Age
  • American Indian/Alaska Native Females Age 35-39
  • Male Population Age 72


Households variables provide data about people living in the same living quarters, including information about household size, age of householder, household types, the race/Hispanic origin of people in households, household internet service, and disability status.

  • Total Households
  • Average Family Size
  • Households w/Hispanic Householder


Housing variables provide data about housing structures, including information about vacant housing units, rent, heating methods, home value, mortgage status, the year structures were built, and the year householders moved in.

  • Total Housing Units
  • Owner Occupied Housing Units w/Householder Age 65-74
  • Renter Occupied Housing Units w/2 People


Health variables provide data about the healthcare industry and people's relationship to it, including information about disability status, health insurance coverage, healthcare businesses, and healthcare spending.

  • Population 65+: No Health Insurance Coverage
  • Households with 1+ Persons with a Disability
  • Health Services Businesses


Education variables provide data on educational attainment and school enrollment.

  • Population 25+ with a Bachelor's Degree
  • Population 3+ Enrolled in School
  • Female Population 25+ Below Poverty: Some College


Business variables provide data about total sales, total number of employees, and number of businesses for a geographic area for specified NAICS and SIC code categories.

  • Gas Stations (NAICS447) Sales ($000)
  • Construction (NAICS23) Businesses
  • Retail Trade (SIC52-59) Employees


Race variables provide data about racial demographics, including age by sex by race, race and Hispanic origin, ancestry, and language spoken at home.

  • Diversity Index
  • Hispanic Population: Salvadoran
  • Ancestry: Ukrainian


Spending variables provide data gleaned from the latest Consumer Expenditure Surveys from the U.S. Bureau of Labor Statistics. Data is grouped by product or service and includes total expenditures, average spending per household, and a Spending Potential Index (SPI) for the current year and a five-year projection.

  • Entertainment/ Recreation Spending: Winter Sports Equipment
  • Total Expenditures: Food Away from Home
  • Education Spending: College Books & Supplies


Behaviors variables capture expected consumer demand and activities based on MRI-Simmons USA survey of consumers and Esri Tapestry Segmentation. The dataset provides an estimate of the number of consumers and an index value to compare to the U.S. as a whole. These variables are part of the Esri Market Potential portfolio.

  • Social Media: Used Instagram Last 30 Days
  • Purchased Groceries Online Last 30 Days
  • Attended Political Rally/Speech/Organized Protest Last 12 Months


Psychographic variables capture expected consumer opinions and attitudes, providing insight into consumer motivations and preferences. They are based on the MRI-Simmons USA survey of consumers and Esri Tapestry Segmentation. The dataset provides an estimate of the number of consumers and an index value to compare to the U.S. as a whole. These variables are part of the Esri Market Potential portfolio.

  • Wait Until Sale to Buy Things: 1-Disagree Completely
  • Media: Magazines Are Main Source of Entertainment
  • Buy a New Vehicle Next 12 Months: 4-Very Likely
  • Seen Video Ad in Airport Last 30 Days


Jobs variables provide data about types of occupations and industries, employment status, and work-related transportation.

  • Industry: Finance/Insurance
  • Average Commute to Work for Workers 16+
  • Employed Civilian Population Age 16+


Poverty variables provide data about individual and household income, as well as the relationships between poverty status and citizenship, educational attainment, food stamps, employment, and race.

  • Households Below the Poverty Level
  • Female 25+ Below Poverty: High School Grad
  • Male 16+ Below Poverty: Employed

Marital Status

Marital status variables provide information about people who are married, have never been married, are widowed, and divorced.

  • Population Age 15+: Married
  • Population Age 15+: Never Married
  • Population Age 15+: Divorced


Tapestry variables provide market segmentation data according to Esri Tapestry Segmentation categories.

  • Dominant Tapestry Segment

At Risk

At risk variables provide data about populations considered to be at risk, based on race or ethnicity, disability status, income, language spoken, poverty status, or access to transport.

  • Households with 1+ Persons with a Disability
  • Households Receiving Food Stamps/SNAP
  • Population 18-64 Speak Spanish & No English

Key Facts

Key facts variables represent the most popular demographic data categories. In the United States, this includes population, households, housing, home value, income, and race and Hispanic origin.

  • Population
  • Housing
  • Households

Supply and Demand

Supply and demand variables provide economic data, include retail sales of products or services, retail business information, and sales potential.

  • Total Retail Sales
  • Total Retail Sales Potential
  • Total Retail Businesses


Policy variables provide data categories that relate to public policy decisions, including population, race and Hispanic origin, age, home value, and income.

  • Population of Two or More Races
  • Total Population Age 0-4
  • Per Capita Income


Crime variables provide data about crime rates for serious crimes, as reported by U.S. law enforcement jurisdictions.

  • Total Crime Index
  • Personal Crime Index
  • Property Crime Index

Language, Immigration

Language and immigration variables provide data about country of birth, language, aboriginal identity, and minority status.

  • Males Born in India
  • English Only Speaking Females
  • Population Age 5+ Moved From Abroad in Last 5 Years


Segmentation variables provide demographic data according to PRIZM segmentation categories.

  • PRIZM segmentation categories


Ethnicity variables provide data about foreign ancestry and population count.

  • Total Foreigners
  • Foreigners by Ancestry - Eastern Europe

Retail and Centrality

Retail and centrality variables provide data about retail sectors, purchasing power, and turnover rates.

  • Purchasing Power Binding for Retail Sector
  • Retail Purchasing Power per Capita
  • Turnover Key Figures per Inhabitant

View data's source or set

In the data browser, you can view the organization that created or curated the data—this is the source. For example, data that describes consumer spending behaviors is part of the Consumer Spending database, and the source is Esri and the U.S. Bureau of Labor Statistics.

To view data's source and other metadata, use the following options:

  • In the Refine results pane of the data browser, use the check boxes in the Source section to select a data source. For example, to view all variables provided by the U.S. Census Bureau, select U.S. Census.

    The data browser filters the results to show variables available from this source.

  • In the Refine results pane of the data browser, use the check boxes in the Dataset section to select a dataset. For example, to view all variables in the Market Potential dataset, select Market Potential.

    The data browser filters the results to show variables available from this dataset.

  • Hover over Info Info for any variable.

    The Info pane displays all metadata for this variable, including the name, vintage, calculation information, data source, and variable definition.

Learn more about data sources

Some countries and regions have multiple data sources for demographic or points of interest data. See the tables below for information about data sources available.

Demographic data sources

Some countries and regions have more than one demographic data source in ArcGIS Community Analyst. These data sources include differing variables and geography levels. You can select a particular data source using the Click for data source selections button Click for data source selections in the Country/Region drop-down menu.

Some ArcGIS Community Analyst capabilities are limited based on the data source you select. Data sources are outlined below:

Points of interest (POI) data sources

Some countries and regions include data sources for points of interest (POI) in ArcGIS Community Analyst. You can use POI data within workflows, such as Points of Interest Search. If there is more than one POI data source for a country, you can select from the available options.

Data sources are outlined below:

Country or regionPoints of interest (POI) data sources

United States

Business points data sources:

Traffic points data source:



Puerto Rico



Data update notes

See the following notes related to updates to data sources:

  • ArcGIS Community Analyst uses the Esri 2022 data source, which is based on the boundaries from the 2020 US Census Bureau data. The Census PL94-171 data that was previously a separate data source is now included in the Esri 2022 data source.
  • The Esri 2021 data source is still available. To use it, expand the Country/Region drop-down menu, click on USA and select the Esri 2021 data source. This data source is based on boundaries from the 2010 US Census Bureau data. Mapping analysis and report differences between the Esri 2021 and Esri 2022 data sources are expected because the two data sources are using different geography boundaries.
  • Supply and Demand data is not available in the Esri 2022 data source. Switch to the Esri 2021 data source to access the data in the data browser and to run the Retail MarketPlace Profile report.
  • Previously created standard geography sites will not be migrated to the Esri 2022 data because the Census 2010-based geographic boundaries differ from the Census 2020-based boundaries. You will need to create new geography sites in the Esri 2022 data source.
  • Copies of existing reports and infographics will be migrated to the Esri 2022 data source by running the data update migration tool. You may need to manually replace or delete any missing variables that are not available in the Esri 2022 data source.
  • Previously saved custom variables, lists, and custom comparison reports are automatically migrated and available to use with the Esri 2022 data source. Migrated copies of a list or report available with the Esri 2022 data source may have missing variables that will need to be updated or deleted. The original custom variables, lists, and custom comparison reports will still be available with the Esri 2021 data source. For items with vintage year labels, the labels will need to be updated.
  • Business Analyst Widget (Web AppBuilder) and BA Infographic Widget (Experience Builder) custom infographics and classic reports must be updated to the 2022 data using the data update migration tool. These custom infographics and reports will be missing unless the migration process is completed. Shared infographics or reports must also be updated by the owner of those templates.