When deciding what demographic data product that you need for your analysis, there are 4 questions:
- What years of data do you want to analyze?
We have different products and packages that cover 1970, 1980, 1990, and 2000, as well as current estimates and 10 year projections.
- What sort of data do you need? Below is an overview of the different types of data sets.
Long Form (SF3) - is gathered from approximately 1 out of 6 households. This is the most comprehensive demographic data set and includes not only most of the Short Form variables (such as population, race, age, household composition) but it also has the vital SF3 specific variables such as income, housing value, language, rent paid, mortgage, employment, education, poverty, ancestry, commute to work, etc.
Short Form (SF1) - is gathered from every household and is the 100% count. It covers population, race (and Hispanic designation), age of children, presence of older relatives, family composition, household size, owning vs. renting, occupancy status, and others. In the 2000 Short Form there are several key indicators that were NOT included in the Long Form data set: country of origin for Asians and Hispanics; specific breakouts for multiracial people; and details about Group Quarters (prison, military barracks, nursing homes, etc).
Redistricting - this product has a very limited variable set (total population, race, and age breakouts). But, it contains more geographic selections than other products, i.e. school districts and state voting districts. So it is used for its geographies predominantly.
Block Products - contain Short Form or Redistricting data sets but all of the data is expressed at the BLOCK level only. As a cautionary note, there are 8.2 million blocks in 2000 so this creates very large files even when looking at small areas.
CENSUS 2000 LONG FORM (SF3)
VETERANS AS A PERCENT OF TOTAL POPULATION
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- Do you want to compare data from one time to another?
Some of the products and packages cover data from multiple time periods. If you want to look at multiple times, however, you have to deal with the changing boundary definitions. The Normalized (weighted) data sets deal with these issues by weighing all of the data so that you can run it as if the 2000 boundaries had existed in the previous censuses.
- What geographies do you want to look at the data in?
For example, do you want to look at a whole county, a whole state, compare counties, or look at the whole nation?
Our Products Have Data for the Following Geographies:
| Product Name | State | County | MCD | Place | Tract | Block Group | Zip | Congress | School | MSA | PMSA | Native Lands |
| 2000 Long Form | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | | 1 | 1 | 1 |
| 2000 Short Form | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | | | | |
| 2000 Redistricting | 1 | 1 | 1 | 1 | 1 | 1 | | 1 | 1 | 1 | 1 | 1 |
| CensusCD 1990 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | | 1 | 1 | 1 |
| CensusCD 1980 | 1 | 1 | 1 | 1 | 3 | 3 | | 2 | | | | |
| CensusCD 1970 | 1 | 1 | 2 | 2 | 3 | | | | | | | |
| NCDB 1970-2000 | | | | | 1 | | | | | | | |
| 1990 Long Form in 2000 Boundaries | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | | 1 | 1 | 1 |
| 1980 in 2000 Boundaries | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | | 1 | 1 | 1 |
| CensusCD +Maps: 1990-2000 | 1 | 1 | 1 | 1 | | | 1 | 1 | | 1 | 1 | 1 |
| Demographic Changes in America | 1 | 1 | 1 | 1 | | | 1 | 1 | | 1 | 1 | 1 |
| Current Year Estimates & 5 year Projections | 1 | 1 | | | 1 | 1 | 1 | | | | | |
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2000 Short Form Blocks, Redistricting Blocks, and 1990 Blocks present data ONLY at the BLOCK level
1 - Maps + Data available 2 - Data available only 3 - Maps + Data, Urban areas only (MSA's)
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