Returns claiming the earned income credit
The percentage of tax returns claiming the earned income tax credit, which goes to working households with low incomes. It is a count from tax records of the working poor, not a survey estimate.
Reported for3,143areas, in 51 states — none in PR
Link to density0.02not mostly about how urban a place is
Nearby places alike0.66Moran’s I: strongly, neighbouring places tend to be similar
Typerate%
How it has moved
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Every state, every year
One row per state and one column per year, sorted by the latest value. It shows states, not counties: nobody can scan 3,222 rows, and the pattern only shows when it all fits on one screen.
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Where it comes from
IRS Statistics of Income · IRS SOI N59660 / N1
A count from tax records of low-income working families. It is separate from the survey and model-based estimates of poverty used elsewhere on this site. The population is filers, not residents.
Combining areas: an average weighted by tax returns filed.
What it goes with
The strongest links that have a page of their own. Unadjusted is the link before adjusting for anything, from −1 (opposite) to +1 (in step). Adjusted compares places with the same population density, income and education levels, so those differences can’t explain the link. This list leaves out the 7 pairs built from the same numbers or the same model as this measure, since they are bound to match.
| Measure | Unadjusted | Adjusted |
|---|---|---|
| Returns claiming the earned income credit and Food insecurityWhere Returns claiming the earned income credit is higher, Food insecurity tends to be higher: a strong link that holds when only places with similar density, income and education are compared, and inside states as well. Food insecurity by US county | +0.91 | +0.84 |
| Returns claiming the earned income credit and Lack of reliable transportationWhere Returns claiming the earned income credit is higher, Lack of reliable transportation tends to be higher: a strong link that holds when only places with similar density, income and education are compared, and inside states as well. Lack of reliable transportation by US county | +0.90 | +0.84 |
| Returns claiming the earned income credit and Housing insecurityWhere Returns claiming the earned income credit is higher, Housing insecurity tends to be higher: a strong link that holds when only places with similar density, income and education are compared, and inside states as well. Housing insecurity by US county | +0.91 | +0.83 |
| Returns claiming the earned income credit and Self-care disabilityWhere Returns claiming the earned income credit is higher, Self-care disability tends to be higher: a strong link that holds when only places with similar density, income and education are compared, and inside states as well. Self-care disability by US county | +0.91 | +0.82 |
| Returns claiming the earned income credit and Vision disabilityWhere Returns claiming the earned income credit is higher, Vision disability tends to be higher: a strong link that holds when only places with similar density, income and education are compared, and inside states as well. Vision disability by US county | +0.88 | +0.81 |
| Returns claiming the earned income credit and Threat of utility shut-offWhere Returns claiming the earned income credit is higher, Threat of utility shut-off tends to be higher: a strong link that holds when only places with similar density, income and education are compared, and inside states as well. Threat of utility shut-off by US county | +0.90 | +0.80 |
| Returns claiming the earned income credit and StrokeWhere Returns claiming the earned income credit is higher, Stroke tends to be higher: a strong link that holds when only places with similar density, income and education are compared, and inside states as well. Stroke by US county | +0.89 | +0.78 |
| Returns claiming the earned income credit and Diagnosed diabetesWhere Returns claiming the earned income credit is higher, Diagnosed diabetes tends to be higher: a strong link that holds when only places with similar density, income and education are compared, and inside states as well. Diagnosed diabetes by US county | +0.89 | +0.78 |
| Returns claiming the earned income credit and Mobility disabilityWhere Returns claiming the earned income credit is higher, Mobility disability tends to be higher: a strong link that holds when only places with similar density, income and education are compared, and inside states as well. Mobility disability by US county | +0.89 | +0.78 |
| Returns claiming the earned income credit and Material security scoreWhere Returns claiming the earned income credit is higher, Material security score tends to be lower: a strong link that holds when only places with similar density, income and education are compared, and inside states as well. Material security score by US county | -0.87 | -0.77 |
Population makeup
How this measure varies with the racial and ethnic makeup of counties. Every group is shown, whatever its rank. These are links across counties: they describe places, not people. They say nothing about any person’s risk or behaviour based on their race. Counties with a larger share of one group also differ in much else, such as income, segregation, region and history. The adjusted figure only accounts for density, income and education.
| Share of residents | Unadjusted | Adjusted |
|---|---|---|
| Returns claiming the earned income credit and Share White, not HispanicWhere Returns claiming the earned income credit is higher, Share White, not Hispanic tends to be lower: a strong link that holds when only places with similar density, income and education are compared, and inside states as well. Share White, not Hispanic by US county | -0.57 | -0.73 |
| Returns claiming the earned income credit and Share Black, not HispanicWhere Returns claiming the earned income credit is higher, Share Black, not Hispanic tends to be higher: a moderate link that holds when only places with similar density, income and education are compared, and inside states as well. Share Black, not Hispanic by US county | +0.68 | +0.68 |
| Returns claiming the earned income credit and Share Hispanic or Latino, any raceWhere Returns claiming the earned income credit is higher, Share Hispanic or Latino, any race tends to be higher: a weak link that holds when only places with similar density, income and education are compared. Share Hispanic or Latino, any race by US county | +0.19 | +0.34 |
| Returns claiming the earned income credit and Share Asian, not HispanicWhere Returns claiming the earned income credit is higher, Share Asian, not Hispanic tends to be higher: a weak link that holds when only places with similar density, income and education are compared. Share Asian, not Hispanic by US county | -0.18 | +0.19 |
| Returns claiming the earned income credit and Share American Indian or Alaska Native, not HispanicWhere Returns claiming the earned income credit is higher, Share American Indian or Alaska Native, not Hispanic tends to be higher: a moderate link that holds when only places with similar density, income and education are compared, and inside states as well. Share American Indian or Alaska Native, not Hispanic by US county | +0.30 | +0.42 |
Highest and lowest
Of 3,143 counties reporting it. These are the two ends of a national ranking. For most measures, that ranking mostly sorts places by income and how urban they are. That is why the place pages compare each place with similar places instead.
Highest
- Kusilvak Census Area, AK — 48.7%
- Humphreys County, MS — 47.6%
- Tunica County, MS — 46.3%
- Holmes County, MS — 46%
- Oglala Lakota County, SD — 45.5%
Lowest
- Camas County, ID — 0%
- Clark County, ID — 0%
- Wallace County, KS — 0%
- Golden Valley County, MT — 0%
- Petroleum County, MT — 0%
The middle area reports 15.4%. The middle half of counties falls between 11.7% and 20.7% (the 25th to 75th percentile).
All measures · Explore its pairs · How the US county data works