placestats

Billings County, ND

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

Population948
Density0.3people per km² of land
Median household income$81,250
Land area2975km²

Its peers

These are the 50 areas most like Billings 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: Lander County, NV, Petersburg Borough, AK, Chugach Census Area, AK, Oldham County, TX, Treasure County, MT, Thomas County, NE, Haines Borough, AK, Greeley County, KS. The peer scores below compare this county with all 50.

Least like its peers

The measures where Billings 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
Net business formation rate-180th pct by value0th pct by value -2.3 sd
Business closing rate18100th pct by value99th pct by value +2.2 sd
Trend in average test score0.0645100th pct100th pct +1.9 sd
Religious adherents9.732nd pct by value0th pct by value -1.9 sd
Share of two or more races, not Hispanic0%5th pct by value2nd pct by value -1.8 sd
Private job growth14.496th pct by value99th pct by value +1.7 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 here0.66696100+1.7Opportunity Atlas
Adults under 65 without health insurance7.6%9088-0.8CDC PLACES
Aggregate travel time to work10,230 min———Census ACS 5-year
All natural teeth lost, age 65 and over10%7086-0.7CDC PLACES
Any disability26.5%7688-0.8CDC PLACES
Arrivals per 100 people staying4.6140·23·-0.4IRS county migration flows
Arthritis22.8%4273+0.1CDC PLACES
Binge drinking22%288+0.8CDC PLACES
Black Protestant adherents098·45·-0.1
Business closing rate18100·99·+2.2Census Business Dynamics Statistics
Business establishments41———Census Business Dynamics Statistics
Business establishments closed8———Census Business Dynamics Statistics
Business establishments opened0———Census Business Dynamics Statistics
Business opening rate020·2·-1.3Census Business Dynamics Statistics
Cancer other than skin cancer7.2%6444+0.1CDC PLACES
Catholic adherents3.3918·29·-0.8
Child poverty rate, ages 0-17 uncertain14.7%4066-0.1Census SAIPE
Children in the mobility cohort149———Opportunity Atlas
Cholesterol screening81.6%5627+0.2CDC PLACES
Chronic obstructive pulmonary disease5.5%5682-0.4CDC PLACES
Cognitive disability12.7%9093-1.0CDC PLACES
Colorectal cancer screening61.9%10085+1.7CDC PLACES
Congregations per 10,000 people31.736·75·-0.5
Coronary heart disease5.6%3263+0.0CDC PLACES
Current asthma9.6%8089-0.8CDC PLACES
Current cigarette smoking14%5676-0.2CDC PLACES
Dental visit in the past year65.7%7485+0.7CDC PLACES
Departures per 100 people staying5.2437·36·-0.3IRS county migration flows
Depression20.3%7487-0.6CDC PLACES
Diagnosed diabetes9.2%4281-0.2CDC PLACES
Disability-free score0.84172·86·+0.6
Economy score1.8892·91·+1.4
Effective property tax rate uncertain0.3699·5·-1.2Census ACS 5-year
Employed569———BLS LAUS
Evangelical Protestant adherents010·1·-0.9
Fair or poor self-rated health16%6886-0.5CDC PLACES
Fine particulate matter3.698100-1.4County Health Rankings
Flu vaccination among Medicare enrollees0.41%8149+0.8County Health Rankings
Food insecurity11.2%8190-0.6CDC PLACES
Frequent mental distress14.6%9698-1.3CDC PLACES
Frequent physical distress11.1%8293-0.9CDC PLACES
Gini index of income inequality0.4154483+0.0Census ACS 5-year
Gross domestic product$199,960k———BEA Regional Accounts
Health score0.34464·75·+0.5
Hearing disability7.2%3434-0.1CDC PLACES
High blood pressure30.8%2668+0.4CDC PLACES
High cholesterol30.1%3476+0.1CDC PLACES
Homeownership rate81.2%82·87·+0.8Census ACS 5-year
Housing insecurity9.2%8194-0.7CDC PLACES
Housing units527———Census ACS 5-year
Income gap between arrivals and departures$24,62294·95·+1.4IRS county migration flows
Independent-living disability6.8%7691-0.7CDC PLACES
Jail admission rate1,69933·38·-0.5
Jail population rate18816·14·-0.5
Labour force579———BLS LAUS
Lack of reliable transportation6.4%8793-0.7CDC PLACES
Lacking social and emotional support21.8%5173-0.5CDC PLACES
Loneliness29.7%8796-1.1CDC PLACES
Mainline Protestant adherents6.3452·50·-0.4
Mammography in the past two years77.6%9285+1.1CDC PLACES
Material security score0.82558·83·+0.3
Mean adjusted gross income per return$95,8519691+1.7IRS Statistics of Income
Mean income of arriving households$76,53887·86·+1.0IRS county migration flows
Mean income of departing households$51,91726·48·-0.7IRS county migration flows
Mean travel time to work24 min2052+0.8Census ACS 5-year
Median age44.7 years64·76·+0.3Census ACS 5-year
Median gross rent$63013·8·-1.3Census ACS 5-year
Median home value$322,50085·87·+1.4Census ACS 5-year
Median household income$81,250—86—Census ACS 5-year
Median household income (model-based)$82,5658688+1.1Census SAIPE
Median property tax bill1,18929·33·-0.6Census ACS 5-year
Membership organisations0445-0.8County Health Rankings
Mobility disability10.2%7490-0.6CDC PLACES
Net business formation rate-180·0·-2.3Census Business Dynamics Statistics
Net migration per 100 people staying-0.62342·19·-0.1IRS county migration flows
No leisure-time physical activity22.7%4679-0.1CDC PLACES
Obesity36.4%2865+0.6CDC PLACES
Occupied housing units372———Census ACS 5-year
Orthodox Christian adherents090·78·-0.2
Other religion adherents038·11·-0.5
Owner-occupied housing units302———Census ACS 5-year
People covered by a tax return970———IRS Statistics of Income
People per tax return216·25·-0.8IRS Statistics of Income
People who did not move802———IRS county migration flows
Per capita income$42,0787484+0.6Census ACS 5-year
Per capita personal income$82,1337893+0.9BEA Regional Accounts
Personal income$85,090k———BEA Regional Accounts
Population1,036———BEA Regional Accounts
Population1,034———County Health Rankings
Population aged 15 and over793———Census ACS 5-year
Population aged 18 and over812———CDC PLACES
Population aged 25 and over706———Census ACS 5-year
Population aged 65 and over256———Census ACS 5-year
Population below the poverty line uncertain122———Census ACS 5-year
Population below the poverty line108———Census SAIPE
Population for whom poverty status is determined941———Census ACS 5-year
Population for whom poverty status is determined1,029———Census SAIPE
Population in the same house one year ago887———Census ACS 5-year
Population with a bachelor's degree or higher229———Census ACS 5-year
Population, decennial census945———
Poverty rate uncertain13%1954+0.6Census ACS 5-year
Poverty rate (model-based)10.5%6075-0.3Census SAIPE
Presidential votes cast, 2000525———MIT Election Data and Science Lab
Presidential votes cast, 2004564———MIT Election Data and Science Lab
Presidential votes cast, 2008499———MIT Election Data and Science Lab
Presidential votes cast, 2012578———MIT Election Data and Science Lab
Presidential votes cast, 2016605———MIT Election Data and Science Lab
Presidential votes cast, 2020635———MIT Election Data and Science Lab
Presidential votes cast, 2024647———MIT Election Data and Science Lab
Pretrial share of the jail population85.6%79·82·+0.9
Preventable hospital stays3,0792135+0.7County Health Rankings
Private job growth14.496·99·+1.7BLS Quarterly Census of Employment and Wages
Private jobs429———BLS Quarterly Census of Employment and Wages
Received food stamps6.9%22·5·-0.6CDC PLACES
Religious adherents9.732·0·-1.9
Republican share of the two-party vote, 200082.871·98·+0.7MIT Election Data and Science Lab
Republican share of the two-party vote, 200481.974·96·+0.6MIT Election Data and Science Lab
Republican share of the two-party vote, 200876.757·92·+0.4MIT Election Data and Science Lab
Republican share of the two-party vote, 201284.176·96·+0.6MIT Election Data and Science Lab
Republican share of the two-party vote, 201689.379·97·+0.6MIT Election Data and Science Lab
Republican share of the two-party vote, 202088.369·97·+0.6MIT Election Data and Science Lab
Republican share of the two-party vote, 202485.452·91·+0.2MIT Election Data and Science Lab
Republican swing, 2000 to 20242.624·27·-0.4MIT Election Data and Science Lab
Returns claiming charitable contributions0%42·5·-0.9IRS Statistics of Income
Returns claiming the earned income credit0%18·1·-1.4IRS Statistics of Income
Returns reporting capital gains34%92·99·+1.2IRS Statistics of Income
Returns reporting unemployment compensation0%54·9·-0.7IRS Statistics of Income
Routine checkup in the past year72.9%80·29·+0.9CDC PLACES
Self-care disability3%5282-0.4CDC PLACES
Share aged 65 and over27%88·92·+1.1Census ACS 5-year
Share American Indian or Alaska Native, not Hispanic0%46·24·-0.5Census ACS 5-year
Share Asian, not Hispanic0%69·14·-0.4Census ACS 5-year
Share Black, not Hispanic0%—5·—Census ACS 5-year
Share divorced uncertain10.6%65·30·+0.1Census ACS 5-year
Share in the same house a year ago93.6%84·97·+1.1Census ACS 5-year
Share Native Hawaiian or Pacific Islander, not Hispanic0%97·83·-0.2Census ACS 5-year
Share never married uncertain16.1%10·1·-1.0Census ACS 5-year
Share now married67.6%86·99·+1.0Census ACS 5-year
Share of some other race, not Hispanic0%100·53·—Census ACS 5-year
Share of two or more races, not Hispanic0%5·2·-1.8Census ACS 5-year
Share separated0%—1·—Census ACS 5-year
Share White, not Hispanic96.3%100·99·+0.9Census ACS 5-year
Share with a bachelor's degree or higher32.4%8882+1.1Census ACS 5-year
Sleeping less than 7 hours31.9%7089-0.8CDC PLACES
Stroke2.8%5076-0.3CDC PLACES
Taking blood pressure medication58.4%90·52·+1.4CDC PLACES
Tax returns filed530———IRS Statistics of Income
Tests taken703———Stanford Education Data Archive
Threat of utility shut-off6%8493-0.7CDC PLACES
Total population948———Census ACS 5-year
Trend in average test score uncertain0.0645100100+1.9Stanford Education Data Archive
Unemployed10———BLS LAUS
Unemployment rate1.7%8299-1.0BLS LAUS
Vacancy rate uncertain29.4%65·89·+0.2Census ACS 5-year
Vacant housing units uncertain155———Census ACS 5-year
Vision disability3.9%7085-0.5CDC PLACES
Women aged 15 to 50144———Census ACS 5-year
Workers aged 16 and over who commute426———Census ACS 5-year

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.