A number of other variables are also projected within the series. In large part, these are derived by using available current estimates and projections at the lowest possible level of geography as the base for the estimation procedures. The CPS is used extensively to track changes using available cross-reference information related to age, race, sex, and income. Where possible, these CPS statistics are supplemented by INSOURCE estimates.

For example, current marital status estimates are available at the state level from the Census Bureau as “control targets”. The CPS surveys (both historical and current) are used to track the changes in marital status dependent upon other symptomatic variables such as age, sex, race, and income levels. These “micro-models” are then applied to the block group level changes between the census and the current period. This results in block group level data which is consistent with higher order levels but also reflects changes in marital status owing to shifting local demography.

On the other hand, vacant housing is tracked using state and regional indicators, then adjusted for seasonally vacant dwellings which are a significant component of the marketing landscape in many areas of the country.