placestats

Brown County, IL

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

Population6320
Density8.0people per km² of land
Median household income$72,288
Land area792km²

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, KS, Lyon County, IA, King and Queen County, VA, Pennington County, MN, Flathead County, MT, Scott County, IL, Doniphan County, KS, Ravalli County, MT. 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
Share now married40.5%0th pct by value7th pct by value -4.5 sd
Share never married42.2%100th pct by value94th pct by value +4.5 sd
High school graduation0.675%0th pct1st pct -3.5 sd
Per capita income$26,5270th pct15th pct -3.3 sd
Lacking social and emotional support30%0th pct7th pct +3.3 sd
Education score-1.450th pct by value2nd pct by value -2.9 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 here0.4241054-1.3Opportunity Atlas
Adults under 65 without health insurance12%1435+0.9CDC PLACES
Aggregate travel time to work32,205 min———Census ACS 5-year
Alcohol-involved share of driving deaths0%9494-2.5County Health Rankings
All natural teeth lost, age 65 and over18%433+2.0CDC PLACES
Any disability32.1%1447+1.1CDC PLACES
Arrivals per 100 people staying4.2124·15·-0.8IRS county migration flows
Arthritis23.8%3858+0.5CDC PLACES
Average test score uncertain-0.08052747-0.7Stanford Education Data Archive
Binge drinking19.8%6021-0.3CDC PLACES
Births per 1,000 women aged 15 to 50 uncertain114100·98·+2.8Census ACS 5-year
Black Protestant adherents082·45·-0.3
Business closing rate8.9660·60·+0.2Census Business Dynamics Statistics
Business establishments101———Census Business Dynamics Statistics
Business establishments closed9———Census Business Dynamics Statistics
Business establishments opened10———Census Business Dynamics Statistics
Business opening rate9.9570·60·+0.4Census Business Dynamics Statistics
Cancer other than skin cancer6.9%8464-0.9CDC PLACES
Catholic adherents12.852·65·-0.1
Child poverty rate, ages 0-17 uncertain11.8%6282-0.4Census SAIPE
Children in the mobility cohort501———Opportunity Atlas
Children with below-median parental income501———Social Capital Atlas
Cholesterol screening82.4%5641-0.2CDC PLACES
Chronic obstructive pulmonary disease7.7%030+2.9CDC PLACES
Cognitive disability15.8%2457+0.6CDC PLACES
Colorectal cancer screening52.5%613-2.1CDC PLACES
Congregations per 10,000 people17.624·38·-0.8
Coronary heart disease6.2%034+2.4CDC PLACES
Current asthma10%7678-0.7CDC PLACES
Current cigarette smoking18%228+1.9CDC PLACES
Dental visit in the past year54.1%629-2.1CDC PLACES
Departures per 100 people staying4.1310·10·-1.1IRS county migration flows
Depression20.5%9686-1.5CDC PLACES
Diagnosed diabetes11.4%638+1.7CDC PLACES
Disability-free score0.0000888·45·-1.5
Economic connectedness0.872664-0.7Social Capital Atlas
Economic connectedness in high school0.9738676+1.0Social Capital Atlas
Economy score0.6592·40·-2.0
Education score-1.450·2·-2.9
Effective property tax rate1.4786·86·+1.2Census ACS 5-year
Employed2,407———BLS LAUS
Evangelical Protestant adherents5.092·7·-1.5
Fair or poor self-rated health22.2%433+1.8CDC PLACES
Fine particulate matter7.73646+0.1County Health Rankings
Flu vaccination among Medicare enrollees0.33%1222-1.3County Health Rankings
Food insecurity19.9%525+2.3CDC PLACES
Frequent mental distress18.2%3257+0.4CDC PLACES
Frequent physical distress13.8%1047+1.3CDC PLACES
Friending bias0.006828887-1.1Social Capital Atlas
Friending clustering0.14396·91·+1.5Social Capital Atlas
Gini index of income inequality0.416887-0.6Census ACS 5-year
Gross domestic product$604,210k———BEA Regional Accounts
Health score-0.2324·36·-1.9
Hearing disability6.8%2453+0.5CDC PLACES
High blood pressure35.9%427+2.4CDC PLACES
High cholesterol32%1852+0.9CDC PLACES
High school graduation0.675%01-3.5County Health Rankings
Homeownership rate73.6%26·46·-0.5Census ACS 5-year
Housing insecurity16.3%522+2.1CDC PLACES
Housing units2,321———Census ACS 5-year
Income gap between arrivals and departures$4,48956·60·+0.0IRS county migration flows
Independent-living disability9.1%642+1.7CDC PLACES
Injury deaths uncertain55.59497-1.4County Health Rankings
Labour force2,483———BLS LAUS
Lack of reliable transportation10.3%528+2.1CDC PLACES
Lacking social and emotional support30%07+3.3CDC PLACES
Life expectancy77.9 years5279+0.1County Health Rankings
Loneliness36%725+1.8CDC PLACES
Mainline Protestant adherents9.2636·68·-0.6
Mammography in the past two years65.4%04-2.5CDC PLACES
Material security score0.40818·59·-0.9
Mean adjusted gross income per return$66,5401044-1.2IRS Statistics of Income
Mean income of arriving households$51,11020·37·-0.7IRS county migration flows
Mean income of departing households$46,62112·29·-1.2IRS county migration flows
Mean travel time to work15.7 min9294-1.4Census ACS 5-year
Median age40.9 years30·44·-0.5Census ACS 5-year
Median gross rent$7248·21·-1.0Census ACS 5-year
Median home value$142,20016·33·-0.8Census ACS 5-year
Median household income$72,288—73—Census ACS 5-year
Median household income (model-based)$76,0769480+1.4Census SAIPE
Median property tax bill2,09056·69·+0.1Census ACS 5-year
Membership of volunteering groups0.125%9491+1.7Social Capital Atlas
Membership organisations11.12853-0.7County Health Rankings
Mobility disability13.8%1042+1.5CDC PLACES
Mutual-friend share1100·100·+1.6Social Capital Atlas
Net business formation rate0.99556·52·+0.3Census Business Dynamics Statistics
Net migration per 100 people staying0.079446·44·-0.1IRS county migration flows
No leisure-time physical activity26.3%3051+0.6CDC PLACES
Obesity41.6%1016+1.1CDC PLACES
Occupied housing units2,021———Census ACS 5-year
Orthodox Christian adherents090·78·-0.3
Other religion adherents0.0834·21·-0.8
Owner-occupied housing units1,488———Census ACS 5-year
People covered by a tax return4,210———IRS Statistics of Income
People per tax return222·23·-0.7IRS Statistics of Income
People who did not move3,780———IRS county migration flows
Per capita income$26,527015-3.3Census ACS 5-year
Per capita personal income$48,659228-1.3BEA Regional Accounts
Personal income$306,600k———BEA Regional Accounts
Population6,301———BEA Regional Accounts
Population6,294———County Health Rankings
Population aged 15 and over5,396———Census ACS 5-year
Population aged 18 and over5,228———CDC PLACES
Population aged 25 and over4,728———Census ACS 5-year
Population aged 65 and over1,024———Census ACS 5-year
Population below the poverty line uncertain399———Census ACS 5-year
Population below the poverty line uncertain626———Census SAIPE
Population for whom poverty status is determined4,499———Census ACS 5-year
Population for whom poverty status is determined4,569———Census SAIPE
Population in the same house one year ago5,190———Census ACS 5-year
Population with a bachelor's degree or higher713———Census ACS 5-year
Population, decennial census6,244———
Poverty rate uncertain8.87%7884-0.7Census ACS 5-year
Poverty rate (model-based) uncertain13.7%448+1.9Census SAIPE
Premature mortality3377286-0.5County Health Rankings
Presidential votes cast, 20002,660———MIT Election Data and Science Lab
Presidential votes cast, 20042,585———MIT Election Data and Science Lab
Presidential votes cast, 20082,569———MIT Election Data and Science Lab
Presidential votes cast, 20122,364———MIT Election Data and Science Lab
Presidential votes cast, 20162,379———MIT Election Data and Science Lab
Presidential votes cast, 20202,521———MIT Election Data and Science Lab
Presidential votes cast, 20242,455———MIT Election Data and Science Lab
Preventable hospital stays3,6381018+1.5County Health Rankings
Prison population rate1557·3·-0.9
Private job growth1.2546·43·-0.2BLS Quarterly Census of Employment and Wages
Private jobs4,046———BLS Quarterly Census of Employment and Wages
Public-good pages per 1,000 users0.0172045-0.8Social Capital Atlas
Received food stamps18.9%95·82·+2.5CDC PLACES
Religious adherents27.210·7·-1.5
Republican share of the two-party vote, 200058.754·49·-0.0MIT Election Data and Science Lab
Republican share of the two-party vote, 200465.268·62·+0.5MIT Election Data and Science Lab
Republican share of the two-party vote, 20086172·58·+0.5MIT Election Data and Science Lab
Republican share of the two-party vote, 201265.872·60·+0.6MIT Election Data and Science Lab
Republican share of the two-party vote, 20167980·77·+1.1MIT Election Data and Science Lab
Republican share of the two-party vote, 202079.984·79·+1.1MIT Election Data and Science Lab
Republican share of the two-party vote, 202480.682·76·+1.0MIT Election Data and Science Lab
Republican swing, 2000 to 202421.994·88·+1.2MIT Election Data and Science Lab
Returns claiming charitable contributions1.73%6·15·-1.2IRS Statistics of Income
Returns claiming the earned income credit10.4%34·16·-0.5IRS Statistics of Income
Returns reporting capital gains16.4%28·57·-0.7IRS Statistics of Income
Returns reporting unemployment compensation0.866%4·17·-0.9IRS Statistics of Income
Routine checkup in the past year75%64·45·+0.6CDC PLACES
Self-care disability4.2%431+2.3CDC PLACES
Share aged 65 and over16.2%4·19·-1.4Census ACS 5-year
Share Black, not Hispanic17.1%93·78·+1.6Census ACS 5-year
Share divorced10.4%44·27·-0.2Census ACS 5-year
Share Hispanic or Latino, any race5.08%62·47·-0.3Census ACS 5-year
Share in the same house a year ago82.1%4·7·-2.3Census ACS 5-year
Share Native Hawaiian or Pacific Islander, not Hispanic0%93·83·-0.2Census ACS 5-year
Share never married42.2%100·94·+4.5Census ACS 5-year
Share now married40.5%0·7·-4.5Census ACS 5-year
Share of births to unmarried women uncertain74.3%—93·—Census ACS 5-year
Share of some other race, not Hispanic0%—53·—Census ACS 5-year
Share White, not Hispanic75%16·40·-0.7Census ACS 5-year
Share widowed uncertain6.93%58·51·+0.0Census ACS 5-year
Share with a bachelor's degree or higher15.1%214-1.4Census ACS 5-year
Sleeping less than 7 hours40%427+1.9CDC PLACES
Social connection score-0.1796·38·-1.4
Stroke3.4%430+2.6CDC PLACES
Taking blood pressure medication58.2%80·48·+0.7CDC PLACES
Tax returns filed2,310———IRS Statistics of Income
Tests taken6,734———Stanford Education Data Archive
Threat of utility shut-off10.5%030+2.8CDC PLACES
Total population6,320———Census ACS 5-year
Trend in average test score uncertain-0.0181720-0.9Stanford Education Data Archive
Unemployed76———BLS LAUS
Unemployment rate3.1%4064-0.2BLS LAUS
Vacancy rate uncertain12.9%58·41·-0.2Census ACS 5-year
Vacant housing units uncertain300———Census ACS 5-year
Vision disability5.5%837+1.6CDC PLACES
Women aged 15 to 50923———Census ACS 5-year
Women who gave birth in the past year uncertain105———Census ACS 5-year
Workers aged 16 and over who commute2,054———Census ACS 5-year
Years of potential life lost uncertain5,3039296-1.3County Health Rankings

15of 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.