Shelby County, KY
A county, and one of the 3,222 county-level areas the Census Bureau reports for the United States.
Population48,599
Density49.4people per km² of land
Median household income$82,671
Land area984km²
Its peers
These are the 50 areas most like Shelby County in population density and median household income (the middle household income). Both are measured in percentage terms and put on the same scale, so neither one counts for more. The closest eight: Rice County, MN, Cheatham County, TN, Bastrop County, TX, Polk County, OR, Sagadahoc County, ME, Moore County, NC, Worcester County, MD, Talbot County, MD. The peer scores below compare this county with all 50.
Least like its peers
The measures where Shelby Countyis furthest from the average of its peers. The gap is shown in “sd” (standard deviations), which means typical gaps between peers: −2 sd is about two typical gaps below the peer average. A national ranking would hide these numbers behind the county’s income.
| Measure | Value | Among peers | Nationally | vs peers |
|---|---|---|---|---|
| Share separated | 2.39% | 100th pct by value | 77th pct by value | +2.6 sd |
| Trend in average test score | -0.0311 | 0th pct | 7th pct | -2.2 sd |
| Education score | -0.607 | 2nd pct by value | 14th pct by value | -2.0 sd |
| Learning rate | -0.0571 | 3rd pct | 9th pct | -1.9 sd |
| Economic connectedness in high school | 0.783 | 6th pct | 43rd pct | -1.6 sd |
| Jail admission rate | 4,451 | 92nd pct by value | 83rd pct by value | +1.4 sd |
How it has changed
This chart covers 2010–2024. A few measures were published only once — the school, moving-up-the-income-ladder (mobility) and social-ties (social capital) ones. They show as a single point that says so. Everything else is drawn over the years its publisher covers. Each value sits at the year it describes, not the year it came out.
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Every measure
Rates and medians come first, then counts. Counts have no peer score. A county’s population cannot be high or low “for its peers” when the peers were picked partly by density. Density and median household income have no peer score either, since they are what the peers were picked by.
| Adult income rank of children raised poor here | 0.387 | 14 | 27 | -1.1 | Opportunity Atlas |
| Aggregate travel time to work | 573,360 min | — | — | — | Census ACS 5-year |
| Alcohol-involved share of driving deaths uncertain | 0.2% | 87 | 80 | -1.0 | County Health Rankings |
| All natural teeth lost, age 65 and over | 14.4% | 24 | 56 | +0.7 | CDC PLACES |
| Arrivals per 100 people staying | 6.77 | 46· | 66· | -0.2 | IRS county migration flows |
| Births per 1,000 women aged 15 to 50 uncertain | 57.3 | 64· | 54· | +0.2 | Census ACS 5-year |
| Black Protestant adherents | 0.58 | 60· | 57· | -0.3 | |
| Black-white residential segregation | 53.9 | 54· | 59· | +0.1 | County Health Rankings |
| Business closing rate | 6.97 | 8· | 19· | -1.3 | Census Business Dynamics Statistics |
| Business establishments | 1,036 | — | — | — | Census Business Dynamics Statistics |
| Business establishments closed | 71 | — | — | — | Census Business Dynamics Statistics |
| Business establishments opened | 107 | — | — | — | Census Business Dynamics Statistics |
| Business opening rate | 10.5 | 48· | 69· | -0.1 | Census Business Dynamics Statistics |
| Catholic adherents | 6.7 | 36· | 43· | -0.5 | |
| Child mortality uncertain | 50.4 | 44 | 67 | +0.0 | County Health Rankings |
| Child poverty rate, ages 0-17 uncertain | 13.5% | 20 | 73 | +0.5 | Census SAIPE |
| Children in single-parent households | 0.225% | 80· | 49· | +0.6 | County Health Rankings |
| Children in the mobility cohort | 3,410 | — | — | — | Opportunity Atlas |
| Children with below-median parental income | 3,410 | — | — | — | Social Capital Atlas |
| Colorectal cancer screening | 62.8% | 68 | 89 | +0.7 | CDC PLACES |
| Congregations per 10,000 people | 14.8 | 74· | 28· | +0.3 | |
| Dental visit in the past year | 61.5% | 30 | 64 | -0.1 | CDC PLACES |
| Departures per 100 people staying | 6.03 | 38· | 59· | -0.3 | IRS county migration flows |
| Drug overdose deaths | 40.8 | 19 | 26 | +0.9 | County Health Rankings |
| Economic connectedness | 0.882 | 44 | 66 | -0.1 | Social Capital Atlas |
| Economic connectedness in high school | 0.783 | 6 | 43 | -1.6 | Social Capital Atlas |
| Economy score | 1.45 | 58· | 81· | -0.1 | |
| Education score | -0.607 | 2· | 14· | -2.0 | |
| Effective property tax rate | 0.81 | 50· | 48· | -0.4 | Census ACS 5-year |
| Employed | 24,303 | — | — | — | BLS LAUS |
| Evangelical Protestant adherents | 33 | 80· | 75· | +1.0 | |
| Fine particulate matter | 8.7 | 30 | 19 | +0.1 | County Health Rankings |
| Firearm fatalities uncertain | 18.8 | 11 | 37 | +1.2 | County Health Rankings |
| Firearm share of suicides, standardised | 130 | 92· | 81· | +1.2 | CDC WONDER mortality; RAND firearm ownership database |
| Firearm suicide rate | 11.9 | 76· | 54· | +0.6 | CDC WONDER mortality; RAND firearm ownership database |
| Flu vaccination among Medicare enrollees | 0.5% | 64 | 81 | +0.3 | County Health Rankings |
| Foreign-born population | 3,029 | — | — | — | Census ACS 5-year |
| Friending bias | 0.117 | 8 | 14 | +1.3 | Social Capital Atlas |
| Friending clustering | 0.107 | 68· | 33· | +0.5 | Social Capital Atlas |
| Gini index of income inequality | 0.425 | 54 | 73 | -0.3 | Census ACS 5-year |
| Gross domestic product | $2,245,500k | — | — | — | BEA Regional Accounts |
| High school graduation | 0.88% | 45 | 44 | -0.1 | County Health Rankings |
| Homeownership rate | 74% | 30· | 49· | -0.4 | Census ACS 5-year |
| Homicide rate uncertain | 4.43 | 50 | 70 | -0.3 | County Health Rankings |
| Housing units | 19,216 | — | — | — | Census ACS 5-year |
| Incarceration of children raised poor here uncertain | 0.0191 | 61 | 71 | -0.4 | Opportunity Atlas |
| Incarceration rate | 650 | 30· | 21· | -0.5 | |
| Income gap between arrivals and departures | $17,570 | 90· | 91· | +0.9 | IRS county migration flows |
| Infant mortality uncertain | 5.6 | 52 | 64 | -0.0 | County Health Rankings |
| Injury deaths | 92.8 | 24 | 57 | +0.5 | County Health Rankings |
| Jail admission rate | 4,451 | 92· | 83· | +1.4 | |
| Jail population rate | 527 | 76· | 64· | +0.1 | |
| Labour force | 25,200 | — | — | — | BLS LAUS |
| Learning rate | -0.0571 | 3 | 9 | -1.9 | Stanford Education Data Archive |
| Life expectancy | 76.2 years | 30 | 61 | -0.5 | County Health Rankings |
| Local income tax as a share of income | 0.436 | — | 64· | — | Census local government finances |
| Local income tax collected | $12,420k | — | — | — | Census local government finances |
| Mainline Protestant adherents | 5.36 | 54· | 42· | -0.2 | |
| Mammography in the past two years | 74.5% | 38 | 59 | -0.3 | CDC PLACES |
| Material security score | 0.749 | 48· | 79· | +0.1 | |
| Mean adjusted gross income per return | $90,686 | 78 | 87 | +0.4 | IRS Statistics of Income |
| Mean income of arriving households | $78,776 | 74· | 87· | +0.2 | IRS county migration flows |
| Mean income of departing households | $61,206 | 34· | 73· | -0.6 | IRS county migration flows |
| Mean travel time to work | 26.9 min | 36 | 31 | +0.0 | Census ACS 5-year |
| Median age | 40.9 years | 56· | 44· | -0.0 | Census ACS 5-year |
| Median gross rent | $998 | 16· | 73· | -0.9 | Census ACS 5-year |
| Median home value | $277,500 | 54· | 81· | -0.3 | Census ACS 5-year |
| Median household income | $82,671 | — | 87 | — | Census ACS 5-year |
| Median household income (model-based) | $76,693 | 12 | 81 | -1.2 | Census SAIPE |
| Median property tax bill | 2,248 | 36· | 73· | -0.5 | Census ACS 5-year |
| Membership of volunteering groups | 0.072% | 32 | 48 | -0.4 | Social Capital Atlas |
| Membership organisations | 9.61 | 64 | 40 | +0.3 | County Health Rankings |
| Mobility score | -0.0291 | 39· | 55· | -0.2 | |
| Motor vehicle crash deaths uncertain | 11.5 | 67 | 80 | -0.5 | County Health Rankings |
| Mutual-friend share | 0.989 | 82· | 30· | +0.8 | Social Capital Atlas |
| Net business formation rate | 3.54 | 82· | 87· | +0.9 | Census Business Dynamics Statistics |
| Net migration per 100 people staying | 0.749 | 62· | 70· | -0.0 | IRS county migration flows |
| Occupied housing units | 17,850 | — | — | — | Census ACS 5-year |
| Orthodox Christian adherents | 0 | 70· | 78· | -0.4 | |
| Other religion adherents | 3.81 | 74· | 78· | -0.0 | |
| Owner-occupied housing units | 13,218 | — | — | — | Census ACS 5-year |
| People covered by a tax return | 44,280 | — | — | — | IRS Statistics of Income |
| People per tax return | 2 | 62· | 59· | +0.4 | IRS Statistics of Income |
| People who did not move | 38,322 | — | — | — | IRS county migration flows |
| Per capita income | $38,834 | 38 | 75 | -0.4 | Census ACS 5-year |
| Per capita personal income | $61,581 | 68 | 71 | -0.0 | BEA Regional Accounts |
| Personal income | $3,055,400k | — | — | — | BEA Regional Accounts |
| Population | 49,617 | — | — | — | BEA Regional Accounts |
| Population | 49,515 | — | — | — | County Health Rankings |
| Population (firearm measures) | 44,631 | — | — | — | CDC WONDER mortality; RAND firearm ownership database |
| Population aged 15 and over | 39,554 | — | — | — | Census ACS 5-year |
| Population aged 18 and over | 38,642 | — | — | — | CDC PLACES |
| Population aged 25 and over | 33,761 | — | — | — | Census ACS 5-year |
| Population aged 65 and over | 8,183 | — | — | — | Census ACS 5-year |
| Population below the poverty line | 4,066 | — | — | — | Census ACS 5-year |
| Population below the poverty line | 5,582 | — | — | — | Census SAIPE |
| Population for whom poverty status is determined | 47,202 | — | — | — | Census ACS 5-year |
| Population for whom poverty status is determined | 48,121 | — | — | — | Census SAIPE |
| Population in the same house one year ago | 43,673 | — | — | — | Census ACS 5-year |
| Population with a bachelor's degree or higher | 10,481 | — | — | — | Census ACS 5-year |
| Population, decennial census | 48,065 | — | — | — | |
| Poverty rate | 8.61% | 72 | 86 | -0.6 | Census ACS 5-year |
| Poverty rate (model-based) | 11.6% | 14 | 65 | +1.0 | Census SAIPE |
| Premature mortality | 422 | 30 | 65 | +0.5 | County Health Rankings |
| Presidential votes cast, 2000 | 12,738 | — | — | — | MIT Election Data and Science Lab |
| Presidential votes cast, 2004 | 16,313 | — | — | — | MIT Election Data and Science Lab |
| Presidential votes cast, 2008 | 18,540 | — | — | — | MIT Election Data and Science Lab |
| Presidential votes cast, 2012 | 18,663 | — | — | — | MIT Election Data and Science Lab |
| Presidential votes cast, 2016 | 20,580 | — | — | — | MIT Election Data and Science Lab |
| Presidential votes cast, 2020 | 23,542 | — | — | — | MIT Election Data and Science Lab |
| Presidential votes cast, 2024 | 24,620 | — | — | — | MIT Election Data and Science Lab |
| Pretrial share of the jail population | 43.8% | 18· | 24· | -1.0 | |
| Preventable hospital stays | 2,771 | 28 | 49 | +0.5 | County Health Rankings |
| Prison population rate | 402 | 44· | 27· | -0.3 | |
| Private job growth | -0.103 | 16· | 25· | -0.8 | BLS Quarterly Census of Employment and Wages |
| Private jobs | 13,612 | — | — | — | BLS Quarterly Census of Employment and Wages |
| Public-good pages per 1,000 users | 0.0183 | 54 | 54 | -0.0 | Social Capital Atlas |
| Religious adherents | 49.5 | 64· | 55· | +0.5 | |
| Republican share of the two-party vote, 2000 | 64.5 | 70· | 69· | +0.6 | MIT Election Data and Science Lab |
| Republican share of the two-party vote, 2004 | 67.4 | 74· | 69· | +0.6 | MIT Election Data and Science Lab |
| Republican share of the two-party vote, 2008 | 62.5 | 68· | 61· | +0.4 | MIT Election Data and Science Lab |
| Republican share of the two-party vote, 2012 | 64 | 62· | 55· | +0.3 | MIT Election Data and Science Lab |
| Republican share of the two-party vote, 2016 | 67.8 | 60· | 44· | +0.3 | MIT Election Data and Science Lab |
| Republican share of the two-party vote, 2020 | 65.1 | 60· | 40· | +0.3 | MIT Election Data and Science Lab |
| Republican share of the two-party vote, 2024 | 67.6 | 64· | 42· | +0.4 | MIT Election Data and Science Lab |
| Republican swing, 2000 to 2024 | 3.12 | 54· | 29· | +0.0 | MIT Election Data and Science Lab |
| Returns claiming charitable contributions | 6.24% | 62· | 84· | +0.0 | IRS Statistics of Income |
| Returns claiming the earned income credit | 12.4% | 66· | 30· | +0.1 | IRS Statistics of Income |
| Returns reporting capital gains | 16.6% | 42· | 57· | -0.3 | IRS Statistics of Income |
| Returns reporting unemployment compensation | 1.96% | 50· | 55· | -0.4 | IRS Statistics of Income |
| Safety score | -0.241 | 17· | 48· | -0.9 | |
| Share aged 65 and over | 16.8% | 44· | 24· | -0.4 | Census ACS 5-year |
| Share Asian, not Hispanic | 1.09% | 46· | 58· | -0.3 | Census ACS 5-year |
| Share Black, not Hispanic | 4.55% | 57· | 52· | -0.2 | Census ACS 5-year |
| Share divorced | 10.8% | 32· | 33· | -0.3 | Census ACS 5-year |
| Share foreign-born | 6.23% | 69· | 71· | +0.2 | Census ACS 5-year |
| Share Hispanic or Latino, any race | 10.8% | 76· | 71· | +0.1 | Census ACS 5-year |
| Share in the same house a year ago | 89.9% | 82· | 72· | +0.8 | Census ACS 5-year |
| Share Native Hawaiian or Pacific Islander, not Hispanic | 0% | 64· | 83· | -0.7 | Census ACS 5-year |
| Share never married | 24.6% | 20· | 25· | -0.8 | Census ACS 5-year |
| Share now married | 59.4% | 90· | 90· | +1.2 | Census ACS 5-year |
| Share of suicides by firearm | 70% | 88· | 77· | +1.1 | CDC WONDER mortality; RAND firearm ownership database |
| Share of two or more races, not Hispanic | 5.01% | 86· | 86· | +0.9 | Census ACS 5-year |
| Share separated uncertain | 2.39% | 100· | 77· | +2.6 | Census ACS 5-year |
| Share White, not Hispanic | 78.1% | 40· | 46· | -0.0 | Census ACS 5-year |
| Share widowed | 5.26% | 36· | 17· | -0.4 | Census ACS 5-year |
| Share with a bachelor's degree or higher | 31% | 56 | 80 | +0.0 | Census ACS 5-year |
| Sleeping less than 7 hours | 39.1% | 18 | 35 | +1.2 | CDC PLACES |
| Social connection score | -0.17 | 32· | 38· | -0.6 | |
| Suicide rate uncertain | 18.4 | 28 | 46 | +0.6 | County Health Rankings |
| Tax returns filed | 22,910 | — | — | — | IRS Statistics of Income |
| Tests taken | 67,441 | — | — | — | Stanford Education Data Archive |
| Total population | 48,599 | — | — | — | Census ACS 5-year |
| Trend in average test score | -0.0311 | 0 | 7 | -2.2 | Stanford Education Data Archive |
| Unemployed | 897 | — | — | — | BLS LAUS |
| Unemployment rate | 3.6% | 22 | 43 | +0.4 | BLS LAUS |
| Vacancy rate | 7.11% | 34· | 13· | -0.5 | Census ACS 5-year |
| Vacant housing units | 1,366 | — | — | — | Census ACS 5-year |
| Women aged 15 to 50 | 11,328 | — | — | — | Census ACS 5-year |
| Women who gave birth in the past year uncertain | 649 | — | — | — | Census ACS 5-year |
| Workers aged 16 and over who commute | 21,312 | — | — | — | Census ACS 5-year |
| Years of potential life lost | 8,676 | 30 | 66 | +0.4 | County Health Rankings |
12of these values are marked uncertain. Either the published margin of error (the likely range around a survey estimate) is wide compared with the estimate, or the value was split across Connecticut’s 2022 boundary change. A split value is shared out between old and new areas, not measured directly.
A percentile is the share of the comparison group at or below this county’s value. A peer score needs at least 20 peers with published data. Where fewer report, the cell is left blank instead of being worked out from a handful.