placestats

Bollinger County, MO

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

Population10,591
Density6.6people per km² of land
Median household income$57,286
Land area1600km²

Its peers

These are the 50 areas most like Bollinger 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: Wahkiakum County, WA, Coosa County, AL, Pike County, IL, Uvalde County, TX, Ashland County, WI, Coos County, NH, Bates County, MO, Wilson County, KS. The peer scores below compare this county with all 50.

Least like its peers

The measures where Bollinger 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
All natural teeth lost, age 65 and over25.2%4th pct7th pct +1.9 sd
Economic connectedness in high school0.4560th pct4th pct -1.9 sd
Membership of volunteering groups0.157%96th pct97th pct +1.9 sd
Cognitive disability20.9%0th pct7th pct +1.8 sd
Chronic obstructive pulmonary disease8.9%2nd pct11th pct +1.7 sd
Mean travel time to work34.5 min6th pct5th pct +1.6 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 here0.423450-0.4Opportunity Atlas
Adults under 65 without health insurance10.5%5149-0.5CDC PLACES
Aggregate travel time to work149,160 min———Census ACS 5-year
All natural teeth lost, age 65 and over25.2%47+1.9CDC PLACES
Any disability38.8%813+1.3CDC PLACES
Arrivals per 100 people staying7.3184·73·+1.0IRS county migration flows
Arthritis27.1%817+1.3CDC PLACES
Binge drinking17.7%4748-0.2CDC PLACES
Black Protestant adherents0.9570·63·-0.2
Business closing rate8.7242·55·-0.2Census Business Dynamics Statistics
Business establishments161———Census Business Dynamics Statistics
Business establishments closed14———Census Business Dynamics Statistics
Business establishments opened15———Census Business Dynamics Statistics
Business opening rate9.3550·49·+0.0Census Business Dynamics Statistics
Cancer other than skin cancer7.3%1832+0.7CDC PLACES
Catholic adherents11.358·61·-0.1
Child poverty rate, ages 0-17 uncertain20.7%5236-0.2Census SAIPE
Children in single-parent households uncertain0.179%21·24·-0.7County Health Rankings
Children in the mobility cohort2,038———Opportunity Atlas
Children with below-median parental income2,038———Social Capital Atlas
Cholesterol screening79.7%48-1.3CDC PLACES
Chronic obstructive pulmonary disease8.9%211+1.7CDC PLACES
Cognitive disability20.9%07+1.8CDC PLACES
Colorectal cancer screening52.7%2614-0.5CDC PLACES
Congregations per 10,000 people3674·82·+0.8
Coronary heart disease6.5%2722+0.5CDC PLACES
Current asthma11%3134+0.3CDC PLACES
Current cigarette smoking20.9%69+1.6CDC PLACES
Dental visit in the past year50.8%3017-0.2CDC PLACES
Departures per 100 people staying5.6856·50·+0.0IRS county migration flows
Depression27.6%814+1.3CDC PLACES
Diagnosed diabetes10.8%4148-0.4CDC PLACES
Disability-free score-0.81922·18·-0.8
Economic connectedness0.8065950+0.2Social Capital Atlas
Economic connectedness in high school0.45604-1.9Social Capital Atlas
Economy score0.18514·17·-0.8
Education score0.013155·44·+0.2
Effective property tax rate0.61416·28·-1.1Census ACS 5-year
Employed4,735———BLS LAUS
Evangelical Protestant adherents23.758·60·+0.1
Fair or poor self-rated health23.1%3728+0.2CDC PLACES
Fine particulate matter8.22735+0.8County Health Rankings
Firearm share of suicides, standardised12984·79·+0.7CDC WONDER mortality; RAND firearm ownership database
Firearm suicide rate19.188·91·+0.7CDC WONDER mortality; RAND firearm ownership database
Flu vaccination among Medicare enrollees0.39%6440+0.3County Health Rankings
Food insecurity16.1%4547-0.3CDC PLACES
Frequent mental distress20.5%616+1.2CDC PLACES
Frequent physical distress15.6%1818+0.9CDC PLACES
Friending bias0.01958282-0.7Social Capital Atlas
Friending clustering0.1358·79·+0.2Social Capital Atlas
Gini index of income inequality0.3979294-1.5Census ACS 5-year
Gross domestic product$223,530k———BEA Regional Accounts
Health score-0.36931·29·-0.3
Hearing disability8.4%48+1.3CDC PLACES
High blood pressure34.7%3134+0.3CDC PLACES
High cholesterol32.5%3744+0.4CDC PLACES
High school graduation0.939%8483+1.0County Health Rankings
Homeownership rate80.1%90·82·+1.1Census ACS 5-year
Housing insecurity13.6%4242-0.1CDC PLACES
Housing units5,047———Census ACS 5-year
Incarceration rate90837·41·-0.5
Income gap between arrivals and departures$1,70946·47·-0.1IRS county migration flows
Independent-living disability10.7%1218+0.9CDC PLACES
Injury deaths877465-0.6County Health Rankings
Jail admission rate1,64930·35·-0.3
Jail population rate27227·27·-0.5
Labour force4,877———BLS LAUS
Lack of reliable transportation9.7%3735+0.0CDC PLACES
Lacking social and emotional support21%8784-1.0CDC PLACES
Life expectancy73.3 years3230-0.3County Health Rankings
Loneliness33.3%5059-0.2CDC PLACES
Mainline Protestant adherents6.9454·54·-0.1
Mammography in the past two years70.6%5226-0.2CDC PLACES
Material security score0.34374·55·+0.6
Mean adjusted gross income per return$55,5201214-0.7IRS Statistics of Income
Mean income of arriving households$39,6648·6·-1.2IRS county migration flows
Mean income of departing households$37,9552·5·-1.3IRS county migration flows
Mean travel time to work34.5 min65+1.6Census ACS 5-year
Median age44.3 years60·74·+0.1Census ACS 5-year
Median gross rent$67725·13·-0.6Census ACS 5-year
Median home value$142,40057·33·-0.1Census ACS 5-year
Median household income$57,286—33—Census ACS 5-year
Median household income (model-based)$53,1342421-0.7Census SAIPE
Median property tax bill87412·20·-1.1Census ACS 5-year
Membership of volunteering groups0.157%9697+1.9Social Capital Atlas
Membership organisations8.562630-0.7County Health Rankings
Mobility disability16%3321+0.6CDC PLACES
Motor vehicle crash deaths uncertain226134-0.4County Health Rankings
Mutual-friend share0.99316·44·-0.5Social Capital Atlas
Net business formation rate0.62354·45·+0.2Census Business Dynamics Statistics
Net migration per 100 people staying1.6290·88·+1.3IRS county migration flows
No leisure-time physical activity32.4%2516+0.7CDC PLACES
Obesity38.9%6142-0.1CDC PLACES
Occupied housing units3,887———Census ACS 5-year
Orthodox Christian adherents094·78·-0.2
Other religion adherents0.0114·14·-0.8
Owner-occupied housing units3,113———Census ACS 5-year
People covered by a tax return9,850———IRS Statistics of Income
People per tax return284·88·+1.0IRS Statistics of Income
People who did not move8,623———IRS county migration flows
Per capita income$26,6811815-0.9Census ACS 5-year
Per capita personal income$48,7832829-0.4BEA Regional Accounts
Personal income$513,980k———BEA Regional Accounts
Population10,536———BEA Regional Accounts
Population10,544———County Health Rankings
Population (firearm measures)10,201———CDC WONDER mortality; RAND firearm ownership database
Population aged 15 and over8,741———Census ACS 5-year
Population aged 18 and over8,227———CDC PLACES
Population aged 25 and over7,549———Census ACS 5-year
Population aged 65 and over2,190———Census ACS 5-year
Population below the poverty line uncertain1,272———Census ACS 5-year
Population below the poverty line1,516———Census SAIPE
Population for whom poverty status is determined10,455———Census ACS 5-year
Population for whom poverty status is determined10,384———Census SAIPE
Population in the same house one year ago9,268———Census ACS 5-year
Population with a bachelor's degree or higher1,070———Census ACS 5-year
Population, decennial census10,567———
Poverty rate uncertain12.2%7661-0.8Census ACS 5-year
Poverty rate (model-based)14.6%5241-0.4Census SAIPE
Premature mortality5254840-0.2County Health Rankings
Presidential votes cast, 20005,294———MIT Election Data and Science Lab
Presidential votes cast, 20045,895———MIT Election Data and Science Lab
Presidential votes cast, 20085,784———MIT Election Data and Science Lab
Presidential votes cast, 20125,456———MIT Election Data and Science Lab
Presidential votes cast, 20165,676———MIT Election Data and Science Lab
Presidential votes cast, 20205,983———MIT Election Data and Science Lab
Presidential votes cast, 20246,161———MIT Election Data and Science Lab
Pretrial share of the jail population100%100·100·+1.4
Preventable hospital stays1,8427884-0.7County Health Rankings
Prison population rate63550·54·-0.2
Private job growth-1.2729·15·-0.3BLS Quarterly Census of Employment and Wages
Private jobs1,317———BLS Quarterly Census of Employment and Wages
Public-good pages per 1,000 users0.01181013-1.1Social Capital Atlas
Received food stamps13.8%45·57·-0.1CDC PLACES
Religious adherents42.948·38·-0.2
Republican share of the two-party vote, 200067.382·77·+0.9MIT Election Data and Science Lab
Republican share of the two-party vote, 20047076·76·+0.9MIT Election Data and Science Lab
Republican share of the two-party vote, 200870.286·80·+1.0MIT Election Data and Science Lab
Republican share of the two-party vote, 201277.194·87·+1.2MIT Election Data and Science Lab
Republican share of the two-party vote, 201687.398·95·+1.4MIT Election Data and Science Lab
Republican share of the two-party vote, 202087.398·95·+1.4MIT Election Data and Science Lab
Republican share of the two-party vote, 202487.698·95·+1.3MIT Election Data and Science Lab
Republican swing, 2000 to 202420.380·86·+1.0MIT Election Data and Science Lab
Returns claiming charitable contributions1.45%14·11·-0.9IRS Statistics of Income
Returns claiming the earned income credit19.5%58·70·+0.1IRS Statistics of Income
Returns reporting capital gains13.5%38·40·-0.2IRS Statistics of Income
Returns reporting unemployment compensation1.87%48·52·-0.3IRS Statistics of Income
Routine checkup in the past year75.5%78·52·+0.6CDC PLACES
Self-care disability4.2%3931-0.1CDC PLACES
Share aged 65 and over20.7%38·60·-0.2Census ACS 5-year
Share divorced12.3%46·57·-0.2Census ACS 5-year
Share Hispanic or Latino, any race1.57%11·5·-0.6Census ACS 5-year
Share in the same house a year ago87.5%44·42·-0.1Census ACS 5-year
Share Native Hawaiian or Pacific Islander, not Hispanic0%97·83·-0.2Census ACS 5-year
Share never married24.9%28·27·-0.5Census ACS 5-year
Share now married55.4%74·70·+0.7Census ACS 5-year
Share of suicides by firearm72.2%80·82·+0.7CDC WONDER mortality; RAND firearm ownership database
Share of two or more races, not Hispanic uncertain3.7%68·63·+0.4Census ACS 5-year
Share White, not Hispanic93.5%82·89·+0.9Census ACS 5-year
Share widowed7.42%44·61·-0.3Census ACS 5-year
Share with a bachelor's degree or higher14.2%1211-0.9Census ACS 5-year
Sleeping less than 7 hours40.1%2026+0.9CDC PLACES
Social connection score0.050250·53·+0.0
Stroke3.5%2225+0.2CDC PLACES
Taking blood pressure medication57.6%25·38·-0.1CDC PLACES
Tax returns filed4,820———IRS Statistics of Income
Tests taken17,818———Stanford Education Data Archive
Threat of utility shut-off10.1%2934+0.2CDC PLACES
Total population10,591———Census ACS 5-year
Trend in average test score-0.01862119-0.6Stanford Education Data Archive
Unemployed142———BLS LAUS
Unemployment rate2.9%8072-0.9BLS LAUS
Vacancy rate23%64·78·+0.1Census ACS 5-year
Vacant housing units1,160———Census ACS 5-year
Vision disability5.5%4937-0.3CDC PLACES
Women aged 15 to 502,223———Census ACS 5-year
Workers aged 16 and over who commute4,320———Census ACS 5-year
Years of potential life lost11,7373932+0.1County Health Rankings

6of 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.