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Small Area Health Insurance Estimates (SAHIE)

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SAHIE Methodology

SAHIE continually evaluates its methods and investigates other potential data sources for each release. For these reasons, we revise and improve our methodology with each successive release, as time and resources allow. For a description of the methodology used to create each year of data, refer to the information below. Note that caution should be used when making comparisons across geographies or from year to year. See this FAQ for more guidance.

Demographic and Income Model Methodology (2008 - 2012)

For 2008-2012, SAHIE publishes STATE and COUNTY estimates of population with and without health insurance coverage, along with measures of uncertainty, for the full cross-classification of:

  • 4 age categories: 0-64, 18-64, 40-64, and 50-64
  • 3 sex categories: both sexes, male, and female
  • 6 income categories: all incomes, as well as income-to-poverty ratio (IPR) categories 0-138%, 0-200%, 0-250%, 0-400%, and 138-400% of the poverty threshold
  • 4 races/ethnicities (for states only): all races/ethnicities, White not Hispanic, Black not Hispanic, and Hispanic (any race).

In addition, estimates for age category 0-18 by the income categories listed above are published.

Each year’s estimates are adjusted so that before rounding the county estimates sum to their respective state totals and for key demographics the state estimates sum to the national ACS numbers insured and uninsured.

Demographic and Income Model Methodology (2005 - 2007)

For 2005-2007, SAHIE publishes STATE and COUNTY estimates of population with and without health insurance coverage, along with measures of uncertainty, for the full cross-classification of:

  • 3 age categories: 0-64, 18-64, 40-64, and 50-64
  • 3 sex categories: both sexes, male, and female
  • 3 income categories: all incomes, as well as income-to-poverty ratio (IPR) categories 0-200% and 0-250% of the poverty threshold
  • 4 races/ethnicities (for states only): all races/ethnicities, White not Hispanic, Black not Hispanic, and Hispanic (any race).

In addition, estimates for age category 0-18 in the 0-200% IPR income category are published.

Each year's estimates are benchmarked to the national CPS ASEC corresponding to the income year of the estimates. For example, the 2007 SAHIE estimates are adjusted so that before rounding the county estimates sum to their respective state totals and for key demographics the state estimates sum to the national 2008 CPS ASEC (which contains questions about income during calendar year 2007) numbers insured and uninsured.

Demographic and Income Model Methodology (2001)

For 2001, SAHIE publishes experimental STATE estimates of the female population with and without health insurance coverage, along with measures of uncertainty, for the full cross-classification of:

  • 3 age categories: 18-64, 40-64, and 50-64
  • 2 income categories: 0-200% and 0-250% of the poverty threshold.
  • 4 races/ethnicities: all races/ethnicities, White not Hispanic, Black not Hispanic, and Hispanic (any race).

Estimates are adjusted so that, before rounding, state numbers sum to the national 2002 CPS ASEC (which contains questions about income during calendar year 2001) poverty universe.

Age Model Methodology (2000)

Our age model creates state and county estimates of population with and without health insurance coverage by age. Modeling is done at the county level and state estimates are created as aggregates of the county ones. The estimates are adjusted so that, before rounding, county estimates sum to their respective state estimates and ,for key demographics, state estimates sum to the national 2001 CPS ASEC (which contains questions about income during calendar year 2000) civilian, non-institutional estimates. For 2000, SAHIE publishes state and county estimates of the number of people with and without health insurance coverage, along with measures of uncertainty, for children under 18 and the total population.

Data Inputs

This section describes the data used to produce SAHIE estimates. It discusses the sources of each dataset, key concepts, and any adjustments made to the data.

Source and Accuracy

The data provided are indirect estimates produced by statistical model-based methods using sample survey, decennial census, and administrative data sources. To maintain confidentiality, the Census Bureau uses procedures to assure that the estimates and related information that are released cannot be used to disclose individual data or violate other confidentiality restrictions applicable to the source data.

Methodological Review

The Small Area Health Insurance Estimates (SAHIE) program's methodology and experimental estimates have undergone internal U.S. Census Bureau review as well as external review.


Source: U.S. Census Bureau | Small Area Health Insurance Estimates |  Last Revised: March 13, 2014