Estimates and Projections-(1998, 2003, 2008)
The Estimates and Projections database is the most extensive and
accurate update available. The database covers a broad range of demographic
variables for the current year, 5 year, and 10 year projections.
The primary variables included in the database are:
By Household Type (Family, Non-Family, Group Quarters)
By Age (19 categories)
By Age and Sex (38 categories)
By Hispanic Origin
Hispanic Origin by Nationality
By Race and Hispanic Origin (e.g. White Non-Hispanic)
By Race and Hispanic Origin By Age and Sex
By Marital Status
By Educational Attainment
Employment Status (employed, unemployed, not in labor force, in armed forces)
Employment by Industry
Employment by Occupation
Total Dwelling Units
Vacant and Occupied
By Tenure (owned, rented)
Aggregate Income by Household Type
Per Capita Income
Household and Family Income Distributions
Income Distributions By Age of Head of Householder
Income Distributions by Race and Hispanic Origin
By Age of Head of Householder
By Vehicles Available
Census Data-(1990, 1980, 1970) IDI offers an extensive list of 2500 plus '1990' Census Data Variables. In addition, approximately 80 variables are maintained from the 1970 and 1980 Censuses. Data values for 1970 and 1980 Census have been updated to 1990 block group boundaries using the 1990 age of housing series.Choose one variable or any combination of variables to reach the solution you need.
The primary variables in the database are:
Age and Sex
Race and Hispanic Origin
Age and Sex by Race
Age and Sex by Hispanic Origin
Group Quarters Population by Type
Period of Military Service
Foreign born by year of entry
Age of group quarters population
Labor force status
Employment by industry and occupation
Means of transportation to work
Time leaving for work
Employment status by race and Hispanic origin
Class of worker (e.g. private for profit, local government)
Females in labor force by presence of children
Type (Family/Non Family)
Household structure (e.g. married couple with children)
Household structure by race and hispanic origin
Children in households
Elderly persons in households
Age of Householder
Household income distributions
Family and non family income distributions
Income by age of head of householder
Income by race and Hispanic origin
Business Counts The Business Counts database is a geographic summary database of business establishments, employees, payroll, and retail sales for nearly ten million businesses and one hundred and thirty million employees.
The database is available for all standard levels of geography including block group. Business Counts is a geographic compilation of the Acxiom InfoBase business list,
supplemented by payroll, occupational,
and retail sales data from the Bureau of Labor Statistics and the County Business Patterns
The primary variables in the database include:
Total Establishments, Employees, Payroll, Retail Sales
Establishments by size (11 Categories)
Employment by occupation (13 categories)
Establishments, Employees, Aggregate and Average Payroll by Major Industry
Service Establishments, Employees, Aggregate and Average Payroll (23 Categories)
Consumer Expenditures The Consumer Expenditure database covers most major household expenditures in a multi-level hierarchical classification. Expenditures can be expressed either as aggregate expenditure or per household expenditure.
The primary variables in the database are:
Food and Beverages
A total of 340 individual expenditure variables are available for the current year and
5- and 10- year projections. The database is derived from an extensive modeling effort using the 1992-1995 Consumer
Expenditure Survey from the Bureau of Labor Statistics.
Risk Data WeatherRisk is a new database which provides risk sensitive companies with actionable risk assessments at the block group and higher levels of geography.
Unlike other products which simply present the locations of weather incidents (either as points or storm tracks), WeatherRisk has compiled these same statistics using spatial filtering
and analysis techniques to produce indexes of relative risk. This provides risk analysts with useful data for analysis rather than simply presenting the raw data.
CrimeRisk is a block group and higher level geographic database consisting of a series
of standardized indexes for a range of serious crimes against both persons and property.
It is derived from an extensive analysis of several years of crime reports from the vast
majority of law enforcement jurisdictions nationwide. The crimes included in the database
are the "Part 1" crimes and include murder, rape, robbery, assault, burglary,
theft, and motor vehicle theft. These categories are the primary reporting categories used
by the FBI in its Uniform Crime Report (UCR), with the exception of Arson, for which data
is very inconsistently reported at the jurisdictional level. Part II crimes are not
reported in the detail databases and are generally available only for selected areas or at
high levels of geography.
In accordance with the reporting procedures used in the UCR reports, aggregate indexes
have been prepared for personal and property crimes separately, as well as a total index.
While this provides a useful measure of the relative "overall" crime rate in an
area, it must be recognized that these are unweighted indexes, in that a murder is
weighted no more heavily than a purse snatching in the computation. For this reason,
caution is advised when using any of the aggregate index values.
The primary source of CrimeRisk was a careful compilation and analysis of the FBI
Uniform Crime Report databases. On an annual basis, the FBI collects data from each of
about 16,000 separate law enforcement jurisdictions at the city, county, and state levels
and compiles these into its annual Uniform Crime Report (UCR). The latest national crime
report can be obtained either from the FBI web site in Adobe Portable Document (PDF)
format or can be ordered directly from the FBI. While useful, the UCR provides detailed
data only for the largest cities, counties, and metropolitan areas.
Each of the seven crime types was modeled separately, using an initial range of about
65 socio-economic characteristics taken from the 1990 Census and AGS 1998 estimates.
Separate models were constructed for each of the nine Census regions (e.g. New England,
East North Central, Pacific) in order to account for regional differences in crime rates
and the demographic characteristics which underlay them. The models constructed typically
accounted for over 85% of the variance in crime rates at this "jurisdiction"
level, although it should be noted that the results for property crimes were generally
more reliable than for personal crimes.
The results of these models were then applied to the block group level using the same
demographic attributes compiled at the block group level. The resulting estimates were
then scaled to match the master database of 8,500 jurisdictions. For cities, the block
groups within each city were scaled to match the city total. For areas outside of these
cities (or for smaller centers), results were scaled to match the county total after
adjusting for those cities scaled separately.
The final crime rate estimates were then weighted by population and aggregated to the
national totals. The results were then scaled to match the 1998 preliminary estimates (at
a state level) and converted to indexes relative to the national total.
The climate database consists of block-group modeled average temperature, precipitation, and air quality measures derived using detailed meteorological data, EPA data, and elevation data.
The result is a database which is suitable for automated merchandising models, on-line real estate applications, and demand estimation for weather sensitive products.
The variables included in this database are:
average annual daily temperature (maximum, minimum, average)
average July and January temperatures (maximum, minimum, average)