placestats

Brown County, OH

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

Population43,710
Density34.5people per km² of land
Median household income$69,990
Land area1268km²

Its peers

These are the 50 areas most like Brown 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: Jackson County, IN, Lane County, OR, Sullivan County, NY, Marshall County, TN, Meade County, KY, Morrow County, OH, Muscatine County, IA, Tulare County, CA. The peer scores below compare this county with all 50.

Least like its peers

The measures where Brown 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
Coronary heart disease6.7%0th pct16th pct +3.0 sd
All natural teeth lost, age 65 and over22.9%2nd pct13th pct +2.5 sd
Current cigarette smoking20%2nd pct14th pct +2.3 sd
Chronic obstructive pulmonary disease8.6%2nd pct15th pct +2.3 sd
Poverty rate17.4%2nd pct27th pct +2.2 sd
Child poverty rate, ages 0-1722.5%4th pct28th pct +2.0 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 here0.3942231-0.7Opportunity Atlas
Adults under 65 without health insurance9.1%5067-0.4CDC PLACES
Aggregate travel time to work592,540 min———Census ACS 5-year
Alcohol-involved share of driving deaths uncertain0.313%3941+0.5County Health Rankings
All natural teeth lost, age 65 and over22.9%213+2.5CDC PLACES
Any disability32.7%2544+0.7CDC PLACES
Arrivals per 100 people staying6.6562·64·-0.0IRS county migration flows
Arthritis28.3%28+1.6CDC PLACES
Binge drinking17.2%6756-0.6CDC PLACES
Births per 1,000 women aged 15 to 50 uncertain61.560·63·+0.4Census ACS 5-year
Black Protestant adherents0.5864·57·-0.3
Black-white residential segregation43.327·35·-0.8County Health Rankings
Business closing rate8.4266·48·+0.3Census Business Dynamics Statistics
Business establishments519———Census Business Dynamics Statistics
Business establishments closed44———Census Business Dynamics Statistics
Business establishments opened37———Census Business Dynamics Statistics
Business opening rate7.086·16·-1.4Census Business Dynamics Statistics
Cancer other than skin cancer7.6%86+0.8CDC PLACES
Catholic adherents5.2130·38·-0.6
Child mortality uncertain60.21647+0.7County Health Rankings
Child poverty rate, ages 0-1722.5%428+2.0Census SAIPE
Children in single-parent households0.209%42·40·-0.1County Health Rankings
Children in the mobility cohort6,292———Opportunity Atlas
Children with below-median parental income6,292———Social Capital Atlas
Cholesterol screening82.2%1938-0.9CDC PLACES
Chronic obstructive pulmonary disease8.6%215+2.3CDC PLACES
Cognitive disability16.9%2143+0.7CDC PLACES
Colorectal cancer screening60.1%4872+0.2CDC PLACES
Congregations per 10,000 people13.740·26·-0.4
Coronary heart disease6.7%016+3.0CDC PLACES
Current asthma11.5%1916+0.8CDC PLACES
Current cigarette smoking20%214+2.3CDC PLACES
Dental visit in the past year57.7%4643+0.0CDC PLACES
Departures per 100 people staying5.6752·50·-0.2IRS county migration flows
Depression28.7%68+1.2CDC PLACES
Diagnosed diabetes11.6%2735+0.6CDC PLACES
Disability-free score-0.013923·45·-0.7
Drug overdose deaths58.1410+2.0County Health Rankings
Economic connectedness0.8165653+0.0Social Capital Atlas
Economic connectedness in high school0.7762041-0.7Social Capital Atlas
Economy score0.69420·42·-1.0
Education score0.22260·58·+0.2
Effective property tax rate0.82744·50·-0.4Census ACS 5-year
Employed19,401———BLS LAUS
Evangelical Protestant adherents19.360·50·+0.0
Fair or poor self-rated health21%2741+0.3CDC PLACES
Fine particulate matter8.63421-0.1County Health Rankings
Firearm fatalities uncertain12.96571-0.2County Health Rankings
Firearm share of suicides, standardised10245·29·-0.2CDC WONDER mortality; RAND firearm ownership database
Firearm suicide rate11.159·47·+0.4CDC WONDER mortality; RAND firearm ownership database
Flu vaccination among Medicare enrollees0.44%4460-0.2County Health Rankings
Food insecurity16.4%2545+0.3CDC PLACES
Frequent mental distress20.6%415+1.5CDC PLACES
Frequent physical distress14.7%1531+1.1CDC PLACES
Friending bias0.03658671-1.1Social Capital Atlas
Friending clustering0.10430·28·-0.4Social Capital Atlas
Gini index of income inequality0.4462649+0.6Census ACS 5-year
Gross domestic product$1,161,100k———BEA Regional Accounts
Health score-0.4212·26·-1.8
Hearing disability6.7%3557+0.4CDC PLACES
High blood pressure36.3%425+1.4CDC PLACES
High cholesterol33.4%3331+0.5CDC PLACES
High school graduation0.922%6969+0.7County Health Rankings
Homeownership rate76.1%58·60·+0.4Census ACS 5-year
Housing insecurity12.7%3552-0.0CDC PLACES
Housing units19,460———Census ACS 5-year
Incarceration of children raised poor here uncertain0.02364253-0.0Opportunity Atlas
Incarceration rate1,44373·74·+0.6
Income gap between arrivals and departures$5,21776·63·+0.4IRS county migration flows
Independent-living disability9.4%1536+1.1CDC PLACES
Infant mortality uncertain7.651127+0.6County Health Rankings
Injury deaths119222+1.8County Health Rankings
Jail admission rate2,47471·61·+0.0
Jail population rate31828·34·-0.7
Labour force20,241———BLS LAUS
Lack of reliable transportation8.7%2850+0.2CDC PLACES
Lacking social and emotional support22.9%7359-0.5CDC PLACES
Life expectancy72.6 years423-1.7County Health Rankings
Local income tax as a share of income0.171—48·—Census local government finances
Local income tax collected$3,504k———Census local government finances
Loneliness36.5%1820+1.1CDC PLACES
Mainline Protestant adherents3.5120·24·-0.9
Mammography in the past two years74%5254-0.2CDC PLACES
Material security score0.03668·38·-1.3
Mean adjusted gross income per return$61,8181230-1.5IRS Statistics of Income
Mean income of arriving households$51,90626·40·-0.6IRS county migration flows
Mean income of departing households$46,69010·29·-1.0IRS county migration flows
Mean travel time to work33.4 min107+1.7Census ACS 5-year
Median age42.1 years72·56·+0.5Census ACS 5-year
Median gross rent$82212·44·-1.0Census ACS 5-year
Median home value$181,10032·54·-0.6Census ACS 5-year
Median household income$69,990—67—Census ACS 5-year
Median household income (model-based)$68,2893665-0.2Census SAIPE
Median property tax bill1,49736·49·-0.6Census ACS 5-year
Membership of volunteering groups0.0817%6462+0.3Social Capital Atlas
Membership organisations5.95813-1.2County Health Rankings
Mobility disability14.2%1538+0.8CDC PLACES
Mobility score-0.17133·47·-0.3
Motor vehicle crash deaths16.74256+0.1County Health Rankings
Mutual-friend share0.98736·25·-0.1Social Capital Atlas
Net business formation rate-1.342·16·-1.5Census Business Dynamics Statistics
Net migration per 100 people staying0.97774·76·+0.5IRS county migration flows
No leisure-time physical activity32.3%816+1.7CDC PLACES
Obesity41.2%1720+1.0CDC PLACES
Occupied housing units17,145———Census ACS 5-year
Orthodox Christian adherents084·78·-0.4
Other religion adherents0.496·24·-0.9
Owner-occupied housing units13,055———Census ACS 5-year
People covered by a tax return37,720———IRS Statistics of Income
People per tax return254·52·+0.1IRS Statistics of Income
People who did not move33,458———IRS county migration flows
Per capita income$33,7173050-0.4Census ACS 5-year
Per capita personal income$48,8502229-0.8BEA Regional Accounts
Personal income$2,141,300k———BEA Regional Accounts
Population43,834———BEA Regional Accounts
Population43,777———County Health Rankings
Population (firearm measures)41,141———CDC WONDER mortality; RAND firearm ownership database
Population aged 15 and over35,551———Census ACS 5-year
Population aged 18 and over33,846———CDC PLACES
Population aged 25 and over30,555———Census ACS 5-year
Population aged 65 and over8,205———Census ACS 5-year
Population below the poverty line7,498———Census ACS 5-year
Population below the poverty line6,498———Census SAIPE
Population for whom poverty status is determined43,065———Census ACS 5-year
Population for whom poverty status is determined43,033———Census SAIPE
Population in the same house one year ago39,230———Census ACS 5-year
Population with a bachelor's degree or higher4,821———Census ACS 5-year
Population, decennial census43,676———
Poverty rate17.4%227+2.2Census ACS 5-year
Poverty rate (model-based)15.1%1038+1.3Census SAIPE
Premature mortality605224+1.8County Health Rankings
Presidential votes cast, 200016,429———MIT Election Data and Science Lab
Presidential votes cast, 200419,892———MIT Election Data and Science Lab
Presidential votes cast, 200820,113———MIT Election Data and Science Lab
Presidential votes cast, 201219,392———MIT Election Data and Science Lab
Presidential votes cast, 201619,607———MIT Election Data and Science Lab
Presidential votes cast, 202021,096———MIT Election Data and Science Lab
Presidential votes cast, 202421,444———MIT Election Data and Science Lab
Pretrial share of the jail population77.3%72·70·+0.7
Preventable hospital stays3,787815+1.6County Health Rankings
Prison population rate1,12594·86·+1.6
Private job growth0.40226·30·-0.6BLS Quarterly Census of Employment and Wages
Private jobs5,742———BLS Quarterly Census of Employment and Wages
Public-good pages per 1,000 users0.01372423-0.7Social Capital Atlas
Received food stamps14.2%78·59·+0.5CDC PLACES
Religious adherents29.114·10·-1.1
Republican share of the two-party vote, 200062.758·63·+0.4MIT Election Data and Science Lab
Republican share of the two-party vote, 200463.944·58·+0.2MIT Election Data and Science Lab
Republican share of the two-party vote, 200861.966·60·+0.4MIT Election Data and Science Lab
Republican share of the two-party vote, 201262.650·51·+0.2MIT Election Data and Science Lab
Republican share of the two-party vote, 20167776·70·+0.8MIT Election Data and Science Lab
Republican share of the two-party vote, 20207988·76·+1.0MIT Election Data and Science Lab
Republican share of the two-party vote, 202480.992·77·+1.0MIT Election Data and Science Lab
Republican swing, 2000 to 202418.296·81·+1.2MIT Election Data and Science Lab
Returns claiming charitable contributions1.52%0·12·-1.3IRS Statistics of Income
Returns claiming the earned income credit16.2%64·55·+0.2IRS Statistics of Income
Returns reporting capital gains10.3%22·21·-0.9IRS Statistics of Income
Returns reporting unemployment compensation2.74%64·71·-0.0IRS Statistics of Income
Routine checkup in the past year77.7%83·80·+0.8CDC PLACES
Safety score-0.53410·33·-1.2
Self-care disability3.9%1940+0.5CDC PLACES
Share aged 65 and over18.8%66·41·+0.2Census ACS 5-year
Share Black, not Hispanic uncertain0.773%7·14·-0.6Census ACS 5-year
Share divorced14.1%90·82·+1.2Census ACS 5-year
Share Hispanic or Latino, any race1.21%4·2·-0.7Census ACS 5-year
Share in the same house a year ago89.8%70·71·+0.6Census ACS 5-year
Share Native Hawaiian or Pacific Islander, not Hispanic0%77·83·-0.4Census ACS 5-year
Share never married24.8%22·26·-0.9Census ACS 5-year
Share now married54.8%72·66·+0.6Census ACS 5-year
Share of births to unmarried women uncertain45.9%71·71·+0.7Census ACS 5-year
Share of suicides by firearm56.9%45·32·-0.1CDC WONDER mortality; RAND firearm ownership database
Share of two or more races, not Hispanic2.59%47·28·-0.4Census ACS 5-year
Share separated uncertain1.92%77·60·+0.7Census ACS 5-year
Share White, not Hispanic95.2%98·96·+0.9Census ACS 5-year
Share widowed6.28%52·36·+0.1Census ACS 5-year
Share with a bachelor's degree or higher15.8%1018-1.1Census ACS 5-year
Sleeping less than 7 hours41.4%815+1.4CDC PLACES
Social connection score-0.41128·25·-0.7
Stroke3.3%1035+1.1CDC PLACES
Suicide rate uncertain19.72238+0.7County Health Rankings
Taking blood pressure medication61.4%94·85·+1.3CDC PLACES
Tax returns filed19,730———IRS Statistics of Income
Tests taken63,390———Stanford Education Data Archive
Threat of utility shut-off9.3%1843+0.8CDC PLACES
Total population43,710———Census ACS 5-year
Trend in average test score uncertain-0.004964448-0.3Stanford Education Data Archive
Unemployed840———BLS LAUS
Unemployment rate4.1%1427+0.4BLS LAUS
Vacancy rate11.9%76·36·+0.1Census ACS 5-year
Vacant housing units2,315———Census ACS 5-year
Vision disability5%3149+0.1CDC PLACES
Women aged 15 to 509,251———Census ACS 5-year
Women who gave birth in the past year uncertain569———Census ACS 5-year
Workers aged 16 and over who commute17,745———Census ACS 5-year
Years of potential life lost12,369426+1.8County 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.