Data in Business 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 Business Analyst Web App:

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

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

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

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

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

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

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

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

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

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

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

Behaviors variables capture expected consumer demand, attitudes, and activities based on MRI-Simmons Survey of the American Consumer and Esri Tapestry Segmentation. The database provides the expected number of consumers and a Market Potential Index (MPI) to compare to the U.S. as a whole.

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

Jobs

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

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

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

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

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

Segmentation variables provide demographic data according to PRIZM segmentation categories.

  • PRIZM segmentation categories

Ethnicity

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

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, do any of the following:

  • 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.

  • 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 Business Analyst Web App. 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 Business 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 Business Analyst Web App. You can use POI data within workflows, such as Business and Facilities 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:

Canada

Mexico

Puerto Rico

Thailand