placestats

Livingston County, KY

A county, and one of the 3,222 county-level areas the Census Bureau reports for the United States.

Population8941
Density11.0people per km² of land
Median household income$59,713
Land area811km²

Its peers

These are the 50 areas most like Livingston 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: Pulaski County, IN, Schley County, GA, Edwards County, IL, Buckingham County, VA, Livingston County, MO, Monroe County, OH, Henry County, AL, Delaware County, NY. The peer scores below compare this county with all 50.

Least like its peers

The measures where Livingston 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.

MeasureValueAmong peersNationallyvs peers
Share separated3.93%100th pct by value97th pct by value +4.0 sd
Preventable hospital stays4,4912nd pct6th pct +2.4 sd
Premature mortality7056th pct10th pct +1.9 sd
Congregations per 10,000 people4596th pct by value92nd pct by value +1.9 sd
Children in single-parent households0.331%94th pct by value84th pct by value +1.8 sd
Poverty rate18.9%6th pct21st pct +1.8 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 here0.4134645-0.3Opportunity Atlas
Aggregate travel time to work110,760 min———Census ACS 5-year
All natural teeth lost, age 65 and over20%3024+0.6CDC PLACES
Arrivals per 100 people staying6.348·58·-0.2IRS county migration flows
Average test score uncertain-0.0696549+0.2Stanford Education Data Archive
Black Protestant adherents3.9284·84·+1.2
Business closing rate11.894·93·+1.1Census Business Dynamics Statistics
Business establishments124———Census Business Dynamics Statistics
Business establishments closed15———Census Business Dynamics Statistics
Business establishments opened8———Census Business Dynamics Statistics
Business opening rate6.284·9·-1.0Census Business Dynamics Statistics
Catholic adherents0.9522·13·-0.6
Child poverty rate, ages 0-17 uncertain22.7%1428+0.7Census SAIPE
Children in single-parent households uncertain0.331%94·84·+1.8County Health Rankings
Children in the mobility cohort1,123———Opportunity Atlas
Children with below-median parental income1,123———Social Capital Atlas
Colorectal cancer screening57.8%6052+0.3CDC PLACES
Congregations per 10,000 people4596·92·+1.9
Dental visit in the past year58.5%6847+0.3CDC PLACES
Departures per 100 people staying6.2568·65·-0.1IRS county migration flows
Economic connectedness0.9018670+0.8Social Capital Atlas
Economic connectedness in high school0.4645-1.7Social Capital Atlas
Economy score0.46238·30·-0.4
Education score0.64682·82·+1.0
Effective property tax rate0.62931·30·-0.7Census ACS 5-year
Employed3,688———BLS LAUS
Evangelical Protestant adherents58.494·97·+1.7
Fine particulate matter8.43228+0.3County Health Rankings
Flu vaccination among Medicare enrollees0.4%6644+0.2County Health Rankings
Friending bias0.05474057+0.2Social Capital Atlas
Friending clustering0.12146·63·-0.1Social Capital Atlas
Gini index of income inequality0.4128885-1.1Census ACS 5-year
Gross domestic product$444,030k———BEA Regional Accounts
High school graduation0.975%9899+1.3County Health Rankings
Homeownership rate80.8%68·85·+0.5Census ACS 5-year
Housing units4,617———Census ACS 5-year
Incarceration rate1,84485·86·+0.7
Income gap between arrivals and departures$-20920·38·-0.9IRS county migration flows
Injury deaths uncertain92.56657-0.5County Health Rankings
Jail admission rate9,05593·95·+1.7
Jail population rate1,23191·94·+1.2
Labour force3,875———BLS LAUS
Life expectancy71 years612-1.7County Health Rankings
Local income tax as a share of income0.313—56·—Census local government finances
Local income tax collected$1,293k———Census local government finances
Mainline Protestant adherents7.352·57·-0.2
Mammography in the past two years71.5%4232-0.2CDC PLACES
Material security score0.15756·45·+0.3
Mean adjusted gross income per return$62,1194231-0.4IRS Statistics of Income
Mean income of arriving households$42,0238·11·-1.3IRS county migration flows
Mean income of departing households$42,23114·14·-1.0IRS county migration flows
Mean travel time to work30.3 min2015+0.6Census ACS 5-year
Median age45.7 years78·81·+0.6Census ACS 5-year
Median gross rent$91288·62·+0.9Census ACS 5-year
Median home value$116,30018·18·-0.9Census ACS 5-year
Median household income$59,713—40—Census ACS 5-year
Median household income (model-based)$57,5863634-0.4Census SAIPE
Median property tax bill73112·14·-1.0Census ACS 5-year
Membership of volunteering groups0.0997%6879+0.2Social Capital Atlas
Membership organisations15.68083+0.7County Health Rankings
Motor vehicle crash deaths uncertain29.72215+0.9County Health Rankings
Mutual-friend share0.9916·35·+0.0Social Capital Atlas
Net business formation rate-5.492·3·-1.4Census Business Dynamics Statistics
Net migration per 100 people staying0.045134·42·-0.4IRS county migration flows
Occupied housing units3,502———Census ACS 5-year
Orthodox Christian adherents092·78·-0.2
Other religion adherents0.0122·14·-1.0
Owner-occupied housing units2,829———Census ACS 5-year
People covered by a tax return7,360———IRS Statistics of Income
People per tax return248·54·-0.1IRS Statistics of Income
People who did not move6,656———IRS county migration flows
Per capita income$29,8312429-0.6Census ACS 5-year
Per capita personal income$49,7324633-0.0BEA Regional Accounts
Personal income$442,060k———BEA Regional Accounts
Population8,889———BEA Regional Accounts
Population8,892———County Health Rankings
Population aged 15 and over7,381———Census ACS 5-year
Population aged 18 and over7,071———CDC PLACES
Population aged 25 and over6,451———Census ACS 5-year
Population aged 65 and over1,962———Census ACS 5-year
Population below the poverty line uncertain1,677———Census ACS 5-year
Population below the poverty line1,263———Census SAIPE
Population for whom poverty status is determined8,876———Census ACS 5-year
Population for whom poverty status is determined8,832———Census SAIPE
Population in the same house one year ago8,324———Census ACS 5-year
Population with a bachelor's degree or higher897———Census ACS 5-year
Population, decennial census8,888———
Poverty rate uncertain18.9%621+1.8Census ACS 5-year
Poverty rate (model-based)14.3%6443-0.5Census SAIPE
Premature mortality705610+1.9County Health Rankings
Presidential votes cast, 20004,230———MIT Election Data and Science Lab
Presidential votes cast, 20044,706———MIT Election Data and Science Lab
Presidential votes cast, 20084,593———MIT Election Data and Science Lab
Presidential votes cast, 20124,511———MIT Election Data and Science Lab
Presidential votes cast, 20164,645———MIT Election Data and Science Lab
Presidential votes cast, 20205,003———MIT Election Data and Science Lab
Presidential votes cast, 20244,972———MIT Election Data and Science Lab
Pretrial share of the jail population51.3%35·33·-0.3
Preventable hospital stays4,49126+2.4County Health Rankings
Prison population rate1,18183·88·+1.2
Private job growth5.6670·89·+0.6BLS Quarterly Census of Employment and Wages
Private jobs2,426———BLS Quarterly Census of Employment and Wages
Public-good pages per 1,000 users0.01521633-0.9Social Capital Atlas
Religious adherents70.592·89·+1.4
Republican share of the two-party vote, 200051.224·25·-0.8MIT Election Data and Science Lab
Republican share of the two-party vote, 200457.132·37·-0.5MIT Election Data and Science Lab
Republican share of the two-party vote, 200864.162·65·+0.3MIT Election Data and Science Lab
Republican share of the two-party vote, 201269.762·70·+0.5MIT Election Data and Science Lab
Republican share of the two-party vote, 201680.180·80·+0.8MIT Election Data and Science Lab
Republican share of the two-party vote, 20208182·82·+0.8MIT Election Data and Science Lab
Republican share of the two-party vote, 202481.976·81·+0.8MIT Election Data and Science Lab
Republican swing, 2000 to 202430.892·97·+1.5MIT Election Data and Science Lab
Returns claiming charitable contributions2.34%44·32·-0.3IRS Statistics of Income
Returns claiming the earned income credit16.7%50·58·-0.2IRS Statistics of Income
Returns reporting capital gains12.5%40·34·-0.4IRS Statistics of Income
Returns reporting unemployment compensation2.08%66·59·-0.1IRS Statistics of Income
Share aged 65 and over21.9%66·71·+0.3Census ACS 5-year
Share American Indian or Alaska Native, not Hispanic0%—24·—Census ACS 5-year
Share divorced13.7%64·77·+0.4Census ACS 5-year
Share Hispanic or Latino, any race2.44%23·18·-0.5Census ACS 5-year
Share in the same house a year ago93.1%96·95·+1.1Census ACS 5-year
Share Native Hawaiian or Pacific Islander, not Hispanic0%100·83·—Census ACS 5-year
Share never married23.4%22·17·-0.7Census ACS 5-year
Share now married56.9%92·79·+1.1Census ACS 5-year
Share of some other race, not Hispanic0%—53·—Census ACS 5-year
Share of two or more races, not Hispanic3.04%35·43·-0.5Census ACS 5-year
Share separated uncertain3.93%100·97·+4.0Census ACS 5-year
Share White, not Hispanic94.4%90·94·+0.9Census ACS 5-year
Share widowed uncertain6.03%14·30·-1.2Census ACS 5-year
Share with a bachelor's degree or higher13.9%1410-0.8Census ACS 5-year
Sleeping less than 7 hours40.2%3225+0.6CDC PLACES
Social connection score0.23268·65·+0.4
Tax returns filed3,840———IRS Statistics of Income
Tests taken12,051———Stanford Education Data Archive
Total population8,941———Census ACS 5-year
Unemployed187———BLS LAUS
Unemployment rate4.8%1613+0.9BLS LAUS
Vacancy rate24.1%76·81·+0.4Census ACS 5-year
Vacant housing units1,115———Census ACS 5-year
Women aged 15 to 501,769———Census ACS 5-year
Workers aged 16 and over who commute3,651———Census ACS 5-year
Years of potential life lost13,2071019+1.3County Health Rankings

9of 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.