placestats

Cotton County, OK

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

Population5475
Density3.3people per km² of land
Median household income$60,313
Land area1639km²

Its peers

These are the 50 areas most like Cotton 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: Greer County, OK, Albany County, WY, Kingman County, KS, Okanogan County, WA, Forest County, WI, Aitkin County, MN, Goliad County, TX, Stutsman County, ND. The peer scores below compare this county with all 50.

Least like its peers

The measures where Cotton 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
Poverty rate22.9%0th pct10th pct +2.7 sd
Evangelical Protestant adherents61.496th pct by value98th pct by value +2.3 sd
Share of two or more races, not Hispanic8.13%97th pct by value97th pct by value +2.2 sd
Republican swing, 2000 to 202427.598th pct by value95th pct by value +2.1 sd
Hearing disability9%2nd pct4th pct +2.0 sd
High blood pressure37.7%4th pct18th 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 here0.4282456-0.7Opportunity Atlas
Adults under 65 without health insurance12%3035-0.0CDC PLACES
Aggregate travel time to work61,520 min———Census ACS 5-year
Alcohol-involved share of driving deaths uncertain0.455%3111+0.3County Health Rankings
All natural teeth lost, age 65 and over24.2%010+1.7CDC PLACES
Any disability40%28+1.8CDC PLACES
Arrivals per 100 people staying6.3276·58·+0.5IRS county migration flows
Arthritis26.6%1223+1.1CDC PLACES
Binge drinking15.4%9482-1.4CDC PLACES
Black Protestant adherents084·45·-0.2
Business closing rate3.662·2·-1.9Census Business Dynamics Statistics
Business establishments83———Census Business Dynamics Statistics
Business establishments closed3———Census Business Dynamics Statistics
Business establishments opened5———Census Business Dynamics Statistics
Business opening rate6.114·8·-0.9Census Business Dynamics Statistics
Cancer other than skin cancer7.1%6253+0.1CDC PLACES
Catholic adherents6.0122·41·-0.8
Child poverty rate, ages 0-17 uncertain23.2%2225+0.6Census SAIPE
Children in single-parent households uncertain0.16%16·15·-0.9County Health Rankings
Children in the mobility cohort931———Opportunity Atlas
Children with below-median parental income931———Social Capital Atlas
Cholesterol screening81.6%5227+0.0CDC PLACES
Chronic obstructive pulmonary disease8.5%816+1.6CDC PLACES
Cognitive disability19.5%816+1.2CDC PLACES
Colorectal cancer screening52.7%1614-0.8CDC PLACES
Congregations per 10,000 people43.478·91·+0.5
Coronary heart disease6.9%412+1.9CDC PLACES
Current asthma11.9%128+1.1CDC PLACES
Current cigarette smoking19.6%1416+1.2CDC PLACES
Dental visit in the past year51.5%1619-1.3CDC PLACES
Departures per 100 people staying6.5478·72·+0.5IRS county migration flows
Depression27.1%1618+1.0CDC PLACES
Diagnosed diabetes12.1%1829+0.9CDC PLACES
Disability-free score-1.034·13·-1.7
Economic connectedness0.8144352-0.2Social Capital Atlas
Economic connectedness in high school0.7212732-0.7Social Capital Atlas
Economy score0.41222·27·-0.6
Effective property tax rate0.62929·30·-0.8Census ACS 5-year
Employed2,572———BLS LAUS
Evangelical Protestant adherents61.496·98·+2.3
Fair or poor self-rated health22.6%2431+0.7CDC PLACES
Fine particulate matter81639+0.4County Health Rankings
Firearm share of suicides, standardised167—100·—CDC WONDER mortality; RAND firearm ownership database
Firearm suicide rate29.8—99·—CDC WONDER mortality; RAND firearm ownership database
Flu vaccination among Medicare enrollees0.38%7237+0.5County Health Rankings
Food insecurity20.8%822+1.1CDC PLACES
Frequent mental distress19.8%2026+0.8CDC PLACES
Frequent physical distress15.2%1623+0.9CDC PLACES
Friending bias0.05124560+0.1Social Capital Atlas
Friending clustering0.10812·37·-1.1Social Capital Atlas
Gini index of income inequality0.481018+1.3Census ACS 5-year
Gross domestic product$211,340k———BEA Regional Accounts
Health score-0.6838·14·-1.3
Hearing disability9%24+2.0CDC PLACES
High blood pressure37.7%418+2.0CDC PLACES
High cholesterol34.4%614+1.6CDC PLACES
Homeownership rate79.6%72·80·+0.6Census ACS 5-year
Housing insecurity15.4%1627+0.8CDC PLACES
Housing units2,707———Census ACS 5-year
Incarceration rate1,29263·66·-0.1
Income gap between arrivals and departures$8,20166·74·+0.3IRS county migration flows
Independent-living disability10.7%818+1.4CDC PLACES
Injury deaths uncertain150105+1.2County Health Rankings
Jail admission rate3,29873·74·+0.3
Jail population rate63173·74·+0.5
Labour force2,652———BLS LAUS
Lack of reliable transportation10.7%1425+0.9CDC PLACES
Lacking social and emotional support25.3%2731+0.8CDC PLACES
Learning rate-0.072503-1.9Stanford Education Data Archive
Life expectancy71.1 years1012-1.1County Health Rankings
Loneliness34.3%3045+0.7CDC PLACES
Mainline Protestant adherents15.766·86·+0.5
Mammography in the past two years67.5%1610-1.1CDC PLACES
Material security score-0.5284·18·-1.7
Mean adjusted gross income per return$53,7281210-1.3IRS Statistics of Income
Mean income of arriving households$45,86720·21·-0.8IRS county migration flows
Mean income of departing households$37,6674·4·-1.7IRS county migration flows
Mean travel time to work27.5 min1228+1.4Census ACS 5-year
Median age43.2 years44·66·-0.1Census ACS 5-year
Median gross rent$74240·25·-0.3Census ACS 5-year
Median home value$113,20028·16·-0.7Census ACS 5-year
Median household income$60,313—42—Census ACS 5-year
Median household income (model-based)$52,7351421-1.0Census SAIPE
Median property tax bill71214·13·-1.3Census ACS 5-year
Membership of volunteering groups0.14%9294+1.3Social Capital Atlas
Membership organisations12.85266-0.1County Health Rankings
Mobility disability17%414+1.7CDC PLACES
Mutual-friend share0.99424·53·+0.1Social Capital Atlas
Net business formation rate2.4484·76·+0.4Census Business Dynamics Statistics
Net migration per 100 people staying-0.22438·31·-0.1IRS county migration flows
No leisure-time physical activity33%1214+1.3CDC PLACES
Obesity42.9%1010+1.2CDC PLACES
Occupied housing units2,051———Census ACS 5-year
Orthodox Christian adherents098·78·-0.1
Other religion adherents020·11·-0.7
Owner-occupied housing units1,632———Census ACS 5-year
People covered by a tax return4,690———IRS Statistics of Income
People per tax return268·74·+0.5IRS Statistics of Income
People who did not move4,019———IRS county migration flows
Per capita income$32,7445045+0.0Census ACS 5-year
Per capita personal income$54,6474852-0.1BEA Regional Accounts
Personal income$298,920k———BEA Regional Accounts
Population5,470———BEA Regional Accounts
Population5,427———County Health Rankings
Population (firearm measures)5,322———CDC WONDER mortality; RAND firearm ownership database
Population aged 15 and over4,440———Census ACS 5-year
Population aged 18 and over4,179———CDC PLACES
Population aged 25 and over3,848———Census ACS 5-year
Population aged 65 and over1,042———Census ACS 5-year
Population below the poverty line1,230———Census ACS 5-year
Population below the poverty line926———Census SAIPE
Population for whom poverty status is determined5,377———Census ACS 5-year
Population for whom poverty status is determined5,353———Census SAIPE
Population in the same house one year ago4,946———Census ACS 5-year
Population with a bachelor's degree or higher806———Census ACS 5-year
Population, decennial census5,527———
Poverty rate22.9%010+2.7Census ACS 5-year
Poverty rate (model-based)17.3%2025+0.7Census SAIPE
Premature mortality6521216+0.9County Health Rankings
Presidential votes cast, 20002,482———MIT Election Data and Science Lab
Presidential votes cast, 20042,640———MIT Election Data and Science Lab
Presidential votes cast, 20082,483———MIT Election Data and Science Lab
Presidential votes cast, 20122,453———MIT Election Data and Science Lab
Presidential votes cast, 20162,602———MIT Election Data and Science Lab
Presidential votes cast, 20202,572———MIT Election Data and Science Lab
Presidential votes cast, 20242,506———MIT Election Data and Science Lab
Pretrial share of the jail population28.6%11·11·-1.4
Preventable hospital stays3,4511624+0.7County Health Rankings
Prison population rate72152·62·-0.2
Private job growth1294·98·+0.9BLS Quarterly Census of Employment and Wages
Private jobs718———BLS Quarterly Census of Employment and Wages
Public-good pages per 1,000 users0.0151032-1.3Social Capital Atlas
Received food stamps18.2%84·80·+1.1CDC PLACES
Religious adherents83.192·96·+1.6
Republican share of the two-party vote, 200056.522·42·-0.7MIT Election Data and Science Lab
Republican share of the two-party vote, 20046648·65·+0.0MIT Election Data and Science Lab
Republican share of the two-party vote, 200872.274·84·+0.7MIT Election Data and Science Lab
Republican share of the two-party vote, 201273.266·79·+0.5MIT Election Data and Science Lab
Republican share of the two-party vote, 201682.976·87·+0.7MIT Election Data and Science Lab
Republican share of the two-party vote, 202084.384·90·+0.8MIT Election Data and Science Lab
Republican share of the two-party vote, 202484.180·87·+0.7MIT Election Data and Science Lab
Republican swing, 2000 to 202427.598·95·+2.1MIT Election Data and Science Lab
Returns claiming charitable contributions2.95%64·44·+0.4IRS Statistics of Income
Returns claiming the earned income credit20.7%88·75·+0.9IRS Statistics of Income
Returns reporting capital gains9.7%10·18·-1.4IRS Statistics of Income
Returns reporting unemployment compensation1.27%46·32·-0.4IRS Statistics of Income
Routine checkup in the past year76%88·58·+1.0CDC PLACES
Self-care disability4.6%1020+1.4CDC PLACES
Share aged 65 and over19%22·44·-0.7Census ACS 5-year
Share American Indian or Alaska Native, not Hispanic uncertain7.62%64·91·-0.1Census ACS 5-year
Share divorced15.5%94·92·+1.4Census ACS 5-year
Share Hispanic or Latino, any race7.43%49·60·-0.4Census ACS 5-year
Share in the same house a year ago90.3%64·77·+0.5Census ACS 5-year
Share Native Hawaiian or Pacific Islander, not Hispanic0%92·83·-0.3Census ACS 5-year
Share never married25.5%54·32·-0.1Census ACS 5-year
Share now married50.9%26·41·-0.6Census ACS 5-year
Share of suicides by firearm90.9%—99·—CDC WONDER mortality; RAND firearm ownership database
Share of two or more races, not Hispanic uncertain8.13%97·97·+2.2Census ACS 5-year
Share separated uncertain1.78%—54·—Census ACS 5-year
Share White, not Hispanic74.9%38·40·-0.1Census ACS 5-year
Share widowed8.04%50·74·+0.1Census ACS 5-year
Share with a bachelor's degree or higher20.9%5647-0.0Census ACS 5-year
Sleeping less than 7 hours39.6%1230+1.1CDC PLACES
Social connection score0.1334·58·-0.4
Stroke3.6%621+1.3CDC PLACES
Taking blood pressure medication59.6%90·71·+0.9CDC PLACES
Tax returns filed2,370———IRS Statistics of Income
Tests taken10,106———Stanford Education Data Archive
Threat of utility shut-off11.6%1422+1.3CDC PLACES
Total population5,475———Census ACS 5-year
Unemployed80———BLS LAUS
Unemployment rate3%4668-0.3BLS LAUS
Vacancy rate24.2%56·81·-0.2Census ACS 5-year
Vacant housing units656———Census ACS 5-year
Vision disability6.4%1421+1.0CDC PLACES
Women aged 15 to 501,057———Census ACS 5-year
Workers aged 16 and over who commute2,238———Census ACS 5-year
Years of potential life lost12,7881822+0.4County Health Rankings

7of 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.