ESRI MapData

Demographic Data

ESRI's demographic data provides you with information about people, households, populations, and their lifestyles. Combined with geographic analysis, demographic data provides insights about changes in population patterns and trends that can affect your planning and the decisions you make about your business.

The following demographic databases are available:

• Updated Demographics: ESRI's current-year updates and five-year projections of U.S. demographic data


• Tapestry Segmentation: ESRI's market segmentation system that describes lifestyles, lifestages, and affluence across U.S. neighborhoods

• Census Demographics: Based on Census 2000

• 1990 Data in 2000 Geography: Reconciles geographic and political changes from the 1990 Census versus Census 2000

---

Updated Demographics

Do you need the most accurate demographic data for the United States? ESRI's Updated Demographics is your answer.

Updated Demographics includes more than 2,000 data variables, at current-year estimates and 5-year projections. Here is a sample of the broad categories and variables:

• Population Age
• Households
• Income
• Housing

You Can Use Updated Demographics to

• Study changes in your population segments.
• Evaluate how senior populations impact community services.
• Determine if area housing options fits your population.
• Discover the services you need for seniors, children, and non-English speakers.

Tapestry Segmentation

LifeMode Summary Groups by ZIP Code in Greater Los Angeles, California
(click to view full-size)

ESRI Data—Tapestry Segmentation, ESRI's market segmentation system, classifies U.S. neighborhoods into 65 segments [PDF] based on their socioeconomic and demographic composition [PDF].

For a broader view of markets, segments are divided into

• 12 LifeMode Summary Groups that reflect lifestyles/life stages and
• 11 Urbanization Summary Groups that show levels of affluence and population density. This database is updated annually.

To get more details, read the Tapestry Segmentation methodology statement [PDF].

Request a quote for the variables, format, and geography you need.

You Can Use Tapestry Segmentation to

• Define your most profitable consumers and find more of them.
• Raise your response rates with promotions that resonate with unique customer segments.
• Understand customer lifestage changes to help redefine your merchandise mix and discover new products markets.

What You Get

This database is delivered via CD-ROM, DVD, or FTP with your requested format listed below:

• Formats: ASCII fixed (TXT), ASCII comma delimited (CSV), dBASE IV (DBF), Microsoft Excel (XLS, where applicable), ESRI shapefile (SHP), ESRI Smart Data Compression (SDC), or ESRI file geodatabase (GDB)
• Geographies: United States, state, county, census tract, block group, place, ZIP Code, ZIP+4, CSD, CBSA, DMA, congressional district

This data is also bundled with ArcGIS Business Analyst (desktop) at the census tract level, and ArcGIS Business Analyst Segmentation Module.

This data is used in Business Analyst Online to generate the following reports:

• Market Profile [PDF]
• Tapestry Segmentation Area Profile [PDF]

Census Demographics

Population Growth in Maricopa County, Arizona, 2000–2008
(click to view full-size)

ESRI Data—Census Demographics provides information about U.S. population counts, distribution, and characteristics as they appeared in 2000. Updated decennially, the database contains more than 4,700 variables from Census 2000 including

• Age
• Sex
• Population
• Households
• Race
• Income
• Journey to work
• Marital status
• Home value

With Demographics data, you can

• Conduct population growth and decline studies for specific areas by demographic attributes.
• Analyze area changes in annual housing demands for single-family homes, apartments, condos, and townhouses according to variables such as owner, renter, occupied, or vacant.
• Understand population trends and growth patterns to select areas for development of commercial and residential construction.
• Track changes in commuting distances to plan transportation projects, or redesign public transportation routes to serve the maximum number of riders.
• Study issues such as poverty, language isolation, and use of public transportation to determine the best use and location of government services.
• Get this database delivered to you via CD-ROM, DVD, or FTP. The following formats and levels of geography are available:
• Formats: ASCII fixed (TXT), ASCII comma delimited (CSV), dBASE IV (DBF), Microsoft Excel (XLS, where applicable), ESRI shapefile (SHP), ESRI Smart Data Compression (SDC), or ESRI file geodatabase (GDB)
• Geographies: United States, state, county, census tract, block group, place, ZIP Code, CSD, CBSA, DMA, congressional district

1990 Data in 2000 Geography

1990 Data in 2000 Geography reconciles geographic and political changes such as boundary changes and changes in the block numbering system from the 1990 Census versus those in Census 2000. This reconciliation simplifies the comparison of 1990 statistical data with corresponding data for 2000 and provides a consistent 1990 database in 2000 geography. Updated decennially, it includes more than 1,000 variables such as

• Population by age
• Population by sex
• Population by race
• Population by income
• Journey to work
• Marital status
• Home value

With this data, you can analyze up to six race categories, resulting in 63 possible race combinations as well as population by Hispanic origin and race.

Read ESRI's 1990–2000 race analysis in Trends in the U.S. Multiracial Population 1990–2000 [PDF].

Request a quote for the variables, format, and geography you need.

With 1990 Data 2000 Geography, you can

• Perform time-series analyses to determine demographic changes by geographic area.
• Identify patterns of population growth and decline, and the emergence of new population segments such as multigenerational households and nontraditional families.
• Analyze the assimilation rates of racial and ethnic groups in terms of income, housing, employment, and education.
• Study differences in housing patterns by neighborhood and population segment.