placestats

Monroe County, MO

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

Population8672
Density5.2people per km² of land
Median household income$48,299
Land area1677km²

Its peers

These are the 50 areas most like Monroe 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: Clay County, GA, Catahoula Parish, LA, Deer Lodge County, MT, Gogebic County, MI, Cameron County, PA, Charlton County, GA, St. Clair County, MO, Douglas County, MO. The peer scores below compare this county with all 50.

Least like its peers

The measures where Monroe 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
Catholic adherents18.296th pct by value78th pct by value +2.8 sd
Economic connectedness0.90398th pct70th pct +2.4 sd
Returns reporting capital gains19.9%96th pct by value73rd pct by value +2.2 sd
Child poverty rate, ages 0-1715.3%98th pct63rd pct -2.1 sd
Injury deaths64.698th pct91st pct -2.1 sd
Poverty rate (model-based)12.3%100th pct60th 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 here0.4489069+1.1Opportunity Atlas
Adults under 65 without health insurance10.3%9451-0.8CDC PLACES
Aggregate travel time to work86,280 min———Census ACS 5-year
All natural teeth lost, age 65 and over23%3012+0.4CDC PLACES
Any disability37.5%7118-0.5CDC PLACES
Arrivals per 100 people staying6.1230·54·-0.2IRS county migration flows
Arthritis26.4%6725-0.4CDC PLACES
Average test score uncertain-0.06879149+1.2Stanford Education Data Archive
Binge drinking17.5%1751+0.8CDC PLACES
Black Protestant adherents042·45·-0.7
Black-white residential segregation41.756·31·+0.2County Health Rankings
Business closing rate10.276·82·+0.6Census Business Dynamics Statistics
Business establishments150———Census Business Dynamics Statistics
Business establishments closed15———Census Business Dynamics Statistics
Business establishments opened21———Census Business Dynamics Statistics
Business opening rate14.394·96·+1.9Census Business Dynamics Statistics
Cancer other than skin cancer7.3%2732+0.8CDC PLACES
Catholic adherents18.296·78·+2.8
Child poverty rate, ages 0-17 uncertain15.3%9863-2.1Census SAIPE
Children in single-parent households uncertain0.181%13·25·-1.1County Health Rankings
Children in the mobility cohort1,219———Opportunity Atlas
Children with below-median parental income1,219———Social Capital Atlas
Cholesterol screening80.3%2512-0.7CDC PLACES
Chronic obstructive pulmonary disease8.6%5215-0.3CDC PLACES
Cognitive disability20.3%4610+0.2CDC PLACES
Colorectal cancer screening58.5%8858+1.1CDC PLACES
Congregations per 10,000 people39.256·87·+0.1
Coronary heart disease6.4%9426-1.3CDC PLACES
Current asthma10.9%6539-0.4CDC PLACES
Current cigarette smoking20.2%4613-0.0CDC PLACES
Dental visit in the past year54.4%8630+0.5CDC PLACES
Departures per 100 people staying5.7942·53·-0.2IRS county migration flows
Depression27.2%2717+0.5CDC PLACES
Diagnosed diabetes11%9044-1.2CDC PLACES
Disability-free score-0.66579·22·+0.9
Economic connectedness0.9039870+2.4Social Capital Atlas
Economic connectedness in high school0.47385-1.6Social Capital Atlas
Economy score0.42388·28·+1.3
Education score0.12169·51·+0.3
Effective property tax rate0.73756·42·-0.1Census ACS 5-year
Employed3,749———BLS LAUS
Evangelical Protestant adherents32.838·75·-0.2
Fair or poor self-rated health22.4%9232-1.2CDC PLACES
Fine particulate matter7.66349-0.2County Health Rankings
Flu vaccination among Medicare enrollees0.37%5834+0.2County Health Rankings
Food insecurity16.3%9546-1.4CDC PLACES
Frequent mental distress20.2%6919-0.4CDC PLACES
Frequent physical distress15.1%8325-1.1CDC PLACES
Friending bias0.0136785-0.5Social Capital Atlas
Friending clustering0.13150·81·-0.1Social Capital Atlas
Gini index of income inequality0.4485448-0.2Census ACS 5-year
Gross domestic product$308,580k———BEA Regional Accounts
Health score-0.33990·31·+1.1
Hearing disability8.2%4010+0.0CDC PLACES
High blood pressure33.7%9441-1.5CDC PLACES
High cholesterol32.3%9047-0.8CDC PLACES
High school graduation0.944%6786+0.7County Health Rankings
Homeownership rate75%42·54·-0.1Census ACS 5-year
Housing insecurity13.8%9140-1.1CDC PLACES
Housing units4,476———Census ACS 5-year
Incarceration rate91116·42·-0.9
Income gap between arrivals and departures$-22734·38·-0.6IRS county migration flows
Independent-living disability10.4%8122-1.0CDC PLACES
Injury deaths uncertain64.69891-2.1County Health Rankings
Jail admission rate1,4509·28·-0.5
Jail population rate19813·16·-0.3
Labour force3,871———BLS LAUS
Lack of reliable transportation9.7%9135-1.2CDC PLACES
Lacking social and emotional support21%8684-1.6CDC PLACES
Learning rate uncertain-0.03752723-0.6Stanford Education Data Archive
Life expectancy76.1 years9659+1.9County Health Rankings
Loneliness32.1%9575-1.4CDC PLACES
Mainline Protestant adherents14.696·84·+2.0
Mammography in the past two years73.2%6447+0.6CDC PLACES
Material security score0.18998·46·+1.6
Mean adjusted gross income per return$59,5208023+0.9IRS Statistics of Income
Mean income of arriving households$46,25448·22·-0.1IRS county migration flows
Mean income of departing households$46,48278·28·+0.6IRS county migration flows
Mean travel time to work25 min6445-0.3Census ACS 5-year
Median age45.8 years66·81·+0.3Census ACS 5-year
Median gross rent$66739·12·-0.4Census ACS 5-year
Median home value$147,40092·36·+1.2Census ACS 5-year
Median household income$48,299—14—Census ACS 5-year
Median household income (model-based)$54,6249025+1.4Census SAIPE
Median property tax bill1,08674·29·+0.6Census ACS 5-year
Membership of volunteering groups0.141%9095+1.4Social Capital Atlas
Membership organisations9.252436-0.5County Health Rankings
Mobility disability15.4%8827-1.0CDC PLACES
Mutual-friend share0.99634·67·+0.1Social Capital Atlas
Net business formation rate4.0884·90·+1.1Census Business Dynamics Statistics
Net migration per 100 people staying0.32552·56·-0.0IRS county migration flows
No leisure-time physical activity31.1%8321-0.7CDC PLACES
Obesity38%9051-1.2CDC PLACES
Occupied housing units3,461———Census ACS 5-year
Orthodox Christian adherents098·78·-0.1
Other religion adherents0.0138·14·-0.7
Owner-occupied housing units2,596———Census ACS 5-year
People covered by a tax return7,680———IRS Statistics of Income
People per tax return228·60·-0.3IRS Statistics of Income
People who did not move6,769———IRS county migration flows
Per capita income$27,7765819+0.1Census ACS 5-year
Per capita personal income$56,0619056+1.4BEA Regional Accounts
Personal income$489,470k———BEA Regional Accounts
Population8,731———BEA Regional Accounts
Population8,698———County Health Rankings
Population aged 15 and over7,116———Census ACS 5-year
Population aged 18 and over6,787———CDC PLACES
Population aged 25 and over6,169———Census ACS 5-year
Population aged 65 and over2,140———Census ACS 5-year
Population below the poverty line uncertain1,360———Census ACS 5-year
Population below the poverty line1,049———Census SAIPE
Population for whom poverty status is determined8,517———Census ACS 5-year
Population for whom poverty status is determined8,529———Census SAIPE
Population in the same house one year ago8,204———Census ACS 5-year
Population with a bachelor's degree or higher1,071———Census ACS 5-year
Population, decennial census8,666———
Poverty rate uncertain16%8035-0.9Census ACS 5-year
Poverty rate (model-based)12.3%10060-2.0Census SAIPE
Premature mortality4659254-1.7County Health Rankings
Presidential votes cast, 20004,094———MIT Election Data and Science Lab
Presidential votes cast, 20044,307———MIT Election Data and Science Lab
Presidential votes cast, 20084,314———MIT Election Data and Science Lab
Presidential votes cast, 20124,057———MIT Election Data and Science Lab
Presidential votes cast, 20164,156———MIT Election Data and Science Lab
Presidential votes cast, 20204,483———MIT Election Data and Science Lab
Presidential votes cast, 20244,378———MIT Election Data and Science Lab
Preventable hospital stays3,5822820+0.2County Health Rankings
Prison population rate71330·61·-0.6
Private job growth3.5962·75·+0.1BLS Quarterly Census of Employment and Wages
Private jobs1,183———BLS Quarterly Census of Employment and Wages
Public-good pages per 1,000 users0.01966262-0.1Social Capital Atlas
Received food stamps13.7%21·56·-1.1CDC PLACES
Religious adherents65.682·84·+0.9
Republican share of the two-party vote, 200053.934·33·-0.3MIT Election Data and Science Lab
Republican share of the two-party vote, 200461.554·51·+0.1MIT Election Data and Science Lab
Republican share of the two-party vote, 200859.832·54·-0.1MIT Election Data and Science Lab
Republican share of the two-party vote, 201264.734·57·+0.1MIT Election Data and Science Lab
Republican share of the two-party vote, 201678.768·75·+0.5MIT Election Data and Science Lab
Republican share of the two-party vote, 202078.856·75·+0.4MIT Election Data and Science Lab
Republican share of the two-party vote, 202480.250·75·+0.4MIT Election Data and Science Lab
Republican swing, 2000 to 202426.374·94·+0.9MIT Election Data and Science Lab
Returns claiming charitable contributions1.76%26·16·-0.5IRS Statistics of Income
Returns claiming the earned income credit15.4%8·50·-1.5IRS Statistics of Income
Returns reporting capital gains19.9%96·73·+2.2IRS Statistics of Income
Returns reporting unemployment compensation2.77%74·71·+0.3IRS Statistics of Income
Routine checkup in the past year75.8%40·56·-0.2CDC PLACES
Self-care disability4.1%9034-1.3CDC PLACES
Share aged 65 and over24.7%70·85·+0.5Census ACS 5-year
Share American Indian or Alaska Native, not Hispanic uncertain0.496%30·63·-0.8Census ACS 5-year
Share Black, not Hispanic4.04%31·49·-0.9Census ACS 5-year
Share divorced13.9%64·80·+0.2Census ACS 5-year
Share Hispanic or Latino, any race1.74%8·7·-0.5Census ACS 5-year
Share in the same house a year ago94.6%94·99·+1.6Census ACS 5-year
Share Native Hawaiian or Pacific Islander, not Hispanic0%97·83·-0.2Census ACS 5-year
Share never married24.9%38·27·-0.4Census ACS 5-year
Share now married52.2%66·49·+0.4Census ACS 5-year
Share of two or more races, not Hispanic uncertain1.42%0·4·-0.9Census ACS 5-year
Share White, not Hispanic91.9%78·80·+1.1Census ACS 5-year
Share widowed9.02%66·87·+0.2Census ACS 5-year
Share with a bachelor's degree or higher17.4%7626+0.5Census ACS 5-year
Sleeping less than 7 hours40.3%6024-0.1CDC PLACES
Social connection score0.24180·65·+0.6
Stroke3.4%9030-1.3CDC PLACES
Taking blood pressure medication58.5%27·54·-0.7CDC PLACES
Tax returns filed3,970———IRS Statistics of Income
Tests taken13,129———Stanford Education Data Archive
Threat of utility shut-off10.4%9131-1.1CDC PLACES
Total population8,672———Census ACS 5-year
Trend in average test score-0.0281149-1.1Stanford Education Data Archive
Unemployed122———BLS LAUS
Unemployment rate3.2%7659-0.8BLS LAUS
Vacancy rate22.7%64·78·-0.2Census ACS 5-year
Vacant housing units1,015———Census ACS 5-year
Vision disability5.4%9239-1.3CDC PLACES
Women aged 15 to 501,577———Census ACS 5-year
Workers aged 16 and over who commute3,452———Census ACS 5-year
Years of potential life lost9,7879252-1.4County 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.