placestats

Wabaunsee County, KS

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

Population6961
Density3.4people per km² of land
Median household income$70,536
Land area2057km²

Its peers

These are the 50 areas most like Wabaunsee 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: Bailey County, TX, Ringgold County, IA, Wilkin County, MN, Walsh County, ND, Uintah County, UT, Lac qui Parle County, MN, Boone County, NE, Coconino County, AZ. The peer scores below compare this county with all 50.

Least like its peers

The measures where Wabaunsee 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
Private job growth8.9498th pct by value96th pct by value +2.5 sd
Alcohol-involved share of driving deaths0.667%3rd pct2nd pct +1.9 sd
Gini index of income inequality0.378100th pct98th pct -1.8 sd
Health score0.802100th pct by value93rd pct by value +1.8 sd
Material security score1.1796th pct by value96th pct by value +1.7 sd
Received food stamps6.1%3rd pct by value2nd pct by value -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 here0.4963286-0.4Opportunity Atlas
Adults under 65 without health insurance8.5%7476-0.5CDC PLACES
Aggregate travel time to work77,465 min———Census ACS 5-year
Alcohol-involved share of driving deaths0.667%32+1.9County Health Rankings
All natural teeth lost, age 65 and over12.8%5467-0.2CDC PLACES
Any disability28.1%6277-0.5CDC PLACES
Arrivals per 100 people staying5.2162·35·+0.1IRS county migration flows
Arthritis23.2%3668+0.3CDC PLACES
Average test score0.1426276+0.4Stanford Education Data Archive
Binge drinking18.6%6033-0.3CDC PLACES
Births per 1,000 women aged 15 to 50 uncertain98.681·96·+0.9Census ACS 5-year
Black Protestant adherents096·45·-0.2
Business closing rate5.7810·7·-1.3Census Business Dynamics Statistics
Business establishments141———Census Business Dynamics Statistics
Business establishments closed8———Census Business Dynamics Statistics
Business establishments opened13———Census Business Dynamics Statistics
Business opening rate9.3958·50·+0.0Census Business Dynamics Statistics
Cancer other than skin cancer7.2%5244+0.1CDC PLACES
Catholic adherents7.2722·46·-0.8
Child poverty rate, ages 0-17 uncertain10.2%8489-0.9Census SAIPE
Children in single-parent households uncertain0.1%12·2·-1.2County Health Rankings
Children in the mobility cohort849———Opportunity Atlas
Children with below-median parental income849———Social Capital Atlas
Cholesterol screening82.7%8046+0.8CDC PLACES
Chronic obstructive pulmonary disease5.8%5275-0.4CDC PLACES
Cognitive disability14.7%5472-0.3CDC PLACES
Colorectal cancer screening59.5%7867+0.8CDC PLACES
Congregations per 10,000 people26.236·63·-0.5
Coronary heart disease5.3%8078-0.9CDC PLACES
Current asthma10.1%5473-0.2CDC PLACES
Current cigarette smoking14.8%5667-0.2CDC PLACES
Dental visit in the past year65%7282+0.7CDC PLACES
Departures per 100 people staying4.6932·21·-0.5IRS county migration flows
Depression21.5%6876-0.4CDC PLACES
Diagnosed diabetes8.9%8286-0.7CDC PLACES
Disability-free score0.74672·81·+0.7
Economic connectedness1.118494+0.9Social Capital Atlas
Economic connectedness in high school0.9044766-0.1Social Capital Atlas
Economy score1.0536·64·-0.2
Effective property tax rate1.2780·79·+0.9Census ACS 5-year
Employed3,458———BLS LAUS
Evangelical Protestant adherents16.264·42·-0.1
Fair or poor self-rated health16%7286-0.6CDC PLACES
Fine particulate matter8.5424+1.5County Health Rankings
Flu vaccination among Medicare enrollees0.53%9289+1.5County Health Rankings
Food insecurity11.1%8491-1.0CDC PLACES
Frequent mental distress17.2%4876+0.1CDC PLACES
Frequent physical distress11.6%7688-0.8CDC PLACES
Friending bias-0.024810097-1.3Social Capital Atlas
Friending clustering0.11330·47·-0.5Social Capital Atlas
Gini index of income inequality0.37810098-1.8Census ACS 5-year
Gross domestic product$186,500k———BEA Regional Accounts
Health score0.802100·93·+1.8
Hearing disability6.6%7662-0.8CDC PLACES
High blood pressure29.8%5678-0.2CDC PLACES
High cholesterol30.3%3474+0.2CDC PLACES
Homeownership rate79.7%60·81·+0.4Census ACS 5-year
Housing insecurity10.2%6284-0.5CDC PLACES
Housing units3,135———Census ACS 5-year
Incarceration rate2833·2·-1.0
Income gap between arrivals and departures$10,44870·80·+0.7IRS county migration flows
Independent-living disability7.1%8086-0.9CDC PLACES
Injury deaths uncertain66.29490-1.3County Health Rankings
Jail admission rate1,45840·28·-0.4
Jail population rate23.60·1·-1.1
Labour force3,567———BLS LAUS
Lack of reliable transportation6.4%9593-1.2CDC PLACES
Lacking social and emotional support21.6%6077-0.4CDC PLACES
Life expectancy80.6 years9695+1.5County Health Rankings
Loneliness31%6088-0.3CDC PLACES
Mainline Protestant adherents10.436·73·-0.6
Mammography in the past two years71.9%3435-0.3CDC PLACES
Material security score1.1796·96·+1.7
Mean adjusted gross income per return$73,6994664-0.2IRS Statistics of Income
Mean income of arriving households$60,65778·65·+0.4IRS county migration flows
Mean income of departing households$50,20940·42·-0.4IRS county migration flows
Mean travel time to work26.9 min631+1.5Census ACS 5-year
Median age43.2 years66·66·+0.3Census ACS 5-year
Median gross rent$77156·32·-0.2Census ACS 5-year
Median home value$178,20064·53·-0.1Census ACS 5-year
Median household income$70,536—69—Census ACS 5-year
Median household income (model-based)$69,8936068+0.2Census SAIPE
Median property tax bill2,27086·73·+1.3Census ACS 5-year
Membership of volunteering groups0.135%8493+1.1Social Capital Atlas
Membership organisations11.43056-0.5County Health Rankings
Mobility disability11.2%5678-0.5CDC PLACES
Mutual-friend share0.98814·28·-0.8Social Capital Atlas
Net business formation rate3.6188·87·+1.0Census Business Dynamics Statistics
Net migration per 100 people staying0.51686·64·+0.8IRS county migration flows
No leisure-time physical activity24%6470-0.3CDC PLACES
Obesity35.3%7873-0.5CDC PLACES
Occupied housing units2,616———Census ACS 5-year
Orthodox Christian adherents094·78·-0.2
Other religion adherents024·11·-0.4
Owner-occupied housing units2,086———Census ACS 5-year
People covered by a tax return6,570———IRS Statistics of Income
People per tax return266·78·+0.2IRS Statistics of Income
People who did not move6,010———IRS county migration flows
Per capita income$33,8852851-0.6Census ACS 5-year
Per capita personal income$60,2444068-0.3BEA Regional Accounts
Personal income$426,110k———BEA Regional Accounts
Population7,073———BEA Regional Accounts
Population7,057———County Health Rankings
Population aged 15 and over5,654———Census ACS 5-year
Population aged 18 and over5,423———CDC PLACES
Population aged 25 and over4,785———Census ACS 5-year
Population aged 65 and over1,462———Census ACS 5-year
Population below the poverty line480———Census ACS 5-year
Population below the poverty line613———Census SAIPE
Population for whom poverty status is determined6,804———Census ACS 5-year
Population for whom poverty status is determined6,811———Census SAIPE
Population in the same house one year ago6,373———Census ACS 5-year
Population with a bachelor's degree or higher1,275———Census ACS 5-year
Population, decennial census6,877———
Poverty rate7.05%9294-1.2Census ACS 5-year
Poverty rate (model-based)9%8887-0.9Census SAIPE
Premature mortality3198689-1.0County Health Rankings
Presidential votes cast, 20003,420———MIT Election Data and Science Lab
Presidential votes cast, 20043,604———MIT Election Data and Science Lab
Presidential votes cast, 20083,521———MIT Election Data and Science Lab
Presidential votes cast, 20123,267———MIT Election Data and Science Lab
Presidential votes cast, 20163,380———MIT Election Data and Science Lab
Presidential votes cast, 20203,902———MIT Election Data and Science Lab
Presidential votes cast, 20243,836———MIT Election Data and Science Lab
Pretrial share of the jail population0%14·2·-1.5
Preventable hospital stays1,4098293-0.9County Health Rankings
Prison population rate26036·11·-0.6
Private job growth8.9498·96·+2.5BLS Quarterly Census of Employment and Wages
Private jobs938———BLS Quarterly Census of Employment and Wages
Public-good pages per 1,000 users0.02857887+0.3Social Capital Atlas
Received food stamps6.1%3·2·-1.6CDC PLACES
Religious adherents33.96·18·-1.6
Republican share of the two-party vote, 20006852·78·+0.1MIT Election Data and Science Lab
Republican share of the two-party vote, 200471.760·80·+0.2MIT Election Data and Science Lab
Republican share of the two-party vote, 200869.862·79·+0.4MIT Election Data and Science Lab
Republican share of the two-party vote, 201271.156·74·+0.2MIT Election Data and Science Lab
Republican share of the two-party vote, 201675.346·65·-0.0MIT Election Data and Science Lab
Republican share of the two-party vote, 202074.746·64·-0.0MIT Election Data and Science Lab
Republican share of the two-party vote, 202474.938·60·-0.1MIT Election Data and Science Lab
Republican swing, 2000 to 20246.8640·40·-0.3MIT Election Data and Science Lab
Returns claiming charitable contributions2.74%42·40·-0.4IRS Statistics of Income
Returns claiming the earned income credit8.81%2·9·-1.1IRS Statistics of Income
Returns reporting capital gains20.7%42·77·-0.0IRS Statistics of Income
Returns reporting unemployment compensation1.82%54·51·-0.2IRS Statistics of Income
Routine checkup in the past year73.9%80·36·+0.9CDC PLACES
Self-care disability2.9%8287-0.9CDC PLACES
Share aged 65 and over21%48·64·+0.1Census ACS 5-year
Share divorced13.3%90·73·+1.4Census ACS 5-year
Share Hispanic or Latino, any race4.63%37·43·-0.5Census ACS 5-year
Share in the same house a year ago91.6%86·88·+0.9Census ACS 5-year
Share never married22.4%24·12·-0.6Census ACS 5-year
Share now married57.1%38·80·-0.1Census ACS 5-year
Share of two or more races, not Hispanic3.75%76·65·+0.5Census ACS 5-year
Share White, not Hispanic90%60·73·+0.5Census ACS 5-year
Share widowed7.18%59·55·+0.3Census ACS 5-year
Share with a bachelor's degree or higher26.6%7869+0.6Census ACS 5-year
Sleeping less than 7 hours34.7%3872+0.4CDC PLACES
Social connection score0.72148·88·+0.1
Stroke2.7%8084-1.1CDC PLACES
Taking blood pressure medication58.8%90·59·+0.9CDC PLACES
Tax returns filed3,290———IRS Statistics of Income
Tests taken9,413———Stanford Education Data Archive
Threat of utility shut-off7.5%3870+0.0CDC PLACES
Total population6,961———Census ACS 5-year
Unemployed109———BLS LAUS
Unemployment rate3.1%2464+0.4BLS LAUS
Vacancy rate16.6%59·57·-0.1Census ACS 5-year
Vacant housing units519———Census ACS 5-year
Vision disability3.7%9091-0.9CDC PLACES
Women aged 15 to 501,328———Census ACS 5-year
Women who gave birth in the past year uncertain131———Census ACS 5-year
Workers aged 16 and over who commute2,879———Census ACS 5-year
Years of potential life lost uncertain5,8238793-1.3County 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.