Others titles
- US Census Bureau Small Area Health Insurance Estimates Starting 2008
- US State And County Level Health Insured Among Demographic Groups
Keywords
- Health Insurance Statistics
- Health Insured
- Health Uninsured
- State Level Insurance
- County Level Insurance
- Small Area Estimates
- Age Groups Insurance Estimates
- Gender Groups Insurance Estimates
- Race Groups Insurance Estimates
- Income Groups Insurance Estimates
US Census Bureau States And Counties Health Insurance Estimates
This dataset contains estimates of health insured and uninsured population for 2020 at county and state level based on US Census Bureau program, The Small Area Health Insurance Estimates (SAHIE) program. For every state and county for each demographic group, defined by age, gender, race/ethnicity and income relative to poverty, the estimated number of persons insured and uninsured is given along with the margin of error.
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Description
The Small Area Health Insurance Estimates (SAHIE) program at the U.S. Census Bureau produces estimates of numbers and proportions of those with and without health insurance coverage for demographic groups within states and counties. The demographic groups are defined by age, sex, and income, and in addition, for states by race and ethnicity. Income groups are defined in terms of income-to-poverty ratio (IPR), which is the family income divided by the appropriate federal poverty level.
The estimates are for groups that some of them overlap or are contained in one or another domain. However, actual modeling is done at a “base” level at which domains are disjoint, and are chosen so that the estimates needed for publication can be obtained as needed by aggregation. For example, for states, was done the actual modeling for the full cross-classification of:
– Four age categories: 0-64, 18-64, 40-64, 50-64; a fifth age category, 21-64.
– Five race/ethnicity categories: all races, Hispanic, White not Hispanic, Black not Hispanic and Hispanic (any race)
– Three sex categories: all sexes, male, female
– Five income groups: all incomes, and IPR categories 0-138%, 0-200%, 0-250%, and 0-400%; a sixth IPR category, 138-400%, was added in release year 2012.
The 2013 SAHIE were updated in order to provide a basis of comparison for the 2014 SAHIE which, for the first time, used more up-to-date Medicaid and Children’s Health Insurance Program (CHIP) source data. Both data, original and updated is contained in this dataset.
The SAHIE model is an “area level” model (Rao 2003) in that it uses survey estimates for areas or domains of interest rather than individual responses, and it uses other data that are aggregates rather than for individuals. Each part of the SAHIE model is similar to a well-known small area-level model, the Fay-Herriot model. The Fay-Herriot model is a hierarchical model in which the variables of interest occupy a “middle” level, between high-level parameters such as regression coefficients, and observed data.
The following primary data sources were used for states and counties:
– Census 2010
– Single-year ACS (American Community Survey) direct estimates
– 5-year ACS direct estimates
– Federal Tax Returns data
– Supplementary Nutrition Assistance Program data
– Medicaid/Children’s Health Insurance Program participation data
– Demographic population estimates
– County Business Patterns
About this Dataset
Data Info
Date Created | 2011-11-28 |
---|---|
Last Modified | 2022-08-10 |
Version | 2022-08-10 |
Update Frequency |
Annual |
Temporal Coverage |
2020 |
Spatial Coverage |
United States |
Source | John Snow Labs; United States Census Bureau; |
Source License URL | |
Source License Requirements |
N/A |
Source Citation |
N/A |
Keywords | Health Insurance Statistics, Health Insured, Health Uninsured, State Level Insurance, County Level Insurance, Small Area Estimates, Age Groups Insurance Estimates, Gender Groups Insurance Estimates, Race Groups Insurance Estimates, Income Groups Insurance Estimates |
Other Titles | US Census Bureau Small Area Health Insurance Estimates Starting 2008, US State And County Level Health Insured Among Demographic Groups |
Data Fields
Name | Description | Type | Constraints |
---|---|---|---|
Year | The year to which the estimates are corresponding | date | - |
Version | The version of 2013 estimates | string | enum : Array ( [0] => Original [1] => Updated ) |
State | The name of the state where the demographic group is living | string | level : Required |
County | The name of the county or equivalent area where the demographic group is living | string | - |
State_County_FIPS_Code | The 5 digits state Federal Information Processing Standard (FIPS) code | integer | level : Nominal |
Age_Group | The age group of the demographic group | integer | level : Nominal |
Income_To_Poverty_Ratio | The ratio of family income to the federal poverty threshold of the demographic group | string | - |
Population | The number of persons in the demographic group | integer | level : Ratio |
Margin_Of_Error_Population | The margin of error of the estimated number of persons in the demographic group; it is the difference between an estimate and its upper or lower confidence bounds (based on a 90 percent confidence level); values of 0 should be assumed to be <1 | integer | level : Ratio |
Count_of_Health_Uninsured_Population | The estimated number of health uninsured persons in the demographic group | integer | level : Ratio |
Margin_Of_Error_Uninsured | The margin of error of the estimated number of health uninsured persons in demographic group; it is the difference between an estimate and its upper or lower confidence bounds; values of 0 should be assumed to be <1 | integer | level : Ratio |
Count_of_Health_Insured_Population | The estimated number of health insured persons in the demographic group | integer | level : Ratio |
Margin_Of_Error_Insured | The margin of error of the estimated number of health insured persons in demographic group; it is the difference between an estimate and its upper or lower confidence bounds; values of 0 should be assumed to be <1 | integer | level : Ratio |
Percent_Of_Uninsured | The estimated percent of health uninsured persons in the demographic group | number | level : Ratio |
Margin_Of_Error_Percent_Of_Uninsured | The margin of error of the estimated percent of health uninsured persons in demographic group; it is the difference between an estimate and its upper or lower confidence bounds; values of 0 should be assumed to be <0.1 | number | level : Ratio |
Percent_Of_Insured | The estimated percent of health insured persons in the demographic group | number | level : Ratio |
Margin_Of_Error_Percent_Of_Insured | The margin of error of the estimated percent of health insured persons in demographic group; it is the difference between an estimate and its upper or lower confidence bounds; values of 0 should be assumed to be <0.1 | number | level : Ratio |
Percent_Of_Uninsured_All_Income | The estimated percent of health uninsured persons in the demographic group, regardless of the income level | number | level : Ratio |
Margin_Of_Error_Percent_Of_Uninsured_All_Income | The margin of error of the estimated percent of health uninsured persons in demographic group, regardless of the income level; it is the difference between an estimate and its upper or lower confidence bounds; values of 0 should be assumed to be <0.1 | number | level : Ratio |
Percent_Of_Insured_All_Income | The estimated percent of health insured persons in the demographic group, regardless of the income level | number | level : Ratio |
Margin_Of_Error_Percent_Of_Insured_All_Income | The margin of error of the estimated percent of health insured persons in demographic group, regardless of the income level; it is the difference between an estimate and its upper or lower confidence bounds; values of 0 should be assumed to be <0.1 | number | level : Ratio |
Data Preview
Year | Version | State | County | State County FIPS Code | Age Group | Income To Poverty Ratio | Margin Of Error Population | Count of Health Uninsured Population | Margin Of Error Uninsured | Count of Health Insured Population | Margin Of Error Insured | Percent Of Uninsured | Margin Of Error Percent Of Uninsured | Percent Of Insured | Margin Of Error Percent Of Insured | Percent Of Uninsured All Income | Margin Of Error Percent Of Uninsured All Income | Percent Of Insured All Income | Margin Of Error Percent Of Insured All Income |
2020 | Alabama | 1 | 0 | 3898732 | 0 | 460936 | 15207 | 3437796 | 15207 | 11.8 | 0.4 | 88.2 | 0.4 | 11.8 | 0.4 | 88.2 | 0.4 | ||
2020 | Alabama | 1 | 0 | 1324268 | 14145 | 252012 | 9847 | 1072256 | 14910 | 19.0 | 0.7 | 81.0 | 0.7 | 6.5 | 0.3 | 27.5 | 0.4 | ||
2020 | Alabama | 1 | 0 | 1660206 | 14766 | 300943 | 10987 | 1359263 | 16136 | 18.1 | 0.6 | 81.9 | 0.6 | 7.7 | 0.3 | 34.9 | 0.4 | ||
2020 | Alabama | 1 | 0 | 879058 | 13031 | 176230 | 8224 | 702828 | 13238 | 20.0 | 0.9 | 80.0 | 0.9 | 4.5 | 0.2 | 18.0 | 0.3 | ||
2020 | Alabama | 1 | 0 | 2533045 | 15768 | 392185 | 13205 | 2140860 | 18709 | 15.5 | 0.5 | 84.5 | 0.5 | 10.1 | 0.3 | 54.9 | 0.5 | ||
2020 | Alabama | 1 | 0 | 1653987 | 14875 | 215955 | 8378 | 1438032 | 15656 | 13.1 | 0.5 | 86.9 | 0.5 | 5.5 | 0.2 | 36.9 | 0.4 | ||
2020 | Alabama | 1 | 0 | 1910986 | 0 | 253092 | 10550 | 1657894 | 10550 | 13.2 | 0.6 | 86.8 | 0.6 | 13.2 | 0.6 | 86.8 | 0.6 | ||
2020 | Alabama | 1 | 0 | 607822 | 8876 | 128499 | 6533 | 479323 | 9092 | 21.1 | 1.0 | 78.9 | 1.0 | 6.7 | 0.3 | 25.1 | 0.5 | ||
2020 | Alabama | 1 | 0 | 773403 | 9205 | 156886 | 7411 | 616517 | 9841 | 20.3 | 0.9 | 79.7 | 0.9 | 8.2 | 0.4 | 32.3 | 0.5 | ||
2020 | Alabama | 1 | 0 | 391396 | 8285 | 86027 | 5299 | 305369 | 8093 | 22.0 | 1.3 | 78.0 | 1.3 | 4.5 | 0.3 | 16.0 | 0.4 |