placestats

Dawson County, MT

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

Population8874
Density1.4people per km² of land
Median household income$70,953
Land area6143km²

Its peers

These are the 50 areas most like Dawson 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: Cook County, MN, LaMoure County, ND, Hemphill County, TX, Kittson County, MN, Sanborn County, SD, Oneida County, ID, Park County, WY, Cameron Parish, LA. The peer scores below compare this county with all 50.

Least like its peers

The measures where Dawson 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
Jail population rate2,814100th pct by value98th pct by value +7.8 sd
Evangelical Protestant adherents49.2100th pct by value92nd pct by value +2.6 sd
Jail admission rate5,61997th pct by value88th pct by value +2.5 sd
Routine checkup in the past year67%4th pct by value3rd pct by value -1.9 sd
High cholesterol26.9%98th pct99th pct -1.7 sd
Taking blood pressure medication51.4%16th pct by value7th pct by value -1.5 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 here0.5617296+0.7Opportunity Atlas
Adults under 65 without health insurance9.5%5261-0.4CDC PLACES
Aggregate travel time to work77,945 min———Census ACS 5-year
All natural teeth lost, age 65 and over11.9%5274-0.2CDC PLACES
Any disability27.7%6880-0.6CDC PLACES
Arrivals per 100 people staying5.4662·41·+0.3IRS county migration flows
Arthritis23.7%1660+0.8CDC PLACES
Binge drinking23.2%62+1.5CDC PLACES
Black Protestant adherents0100·45·—
Business closing rate11.594·92·+1.3Census Business Dynamics Statistics
Business establishments273———Census Business Dynamics Statistics
Business establishments closed32———Census Business Dynamics Statistics
Business establishments opened20———Census Business Dynamics Statistics
Business opening rate7.1728·17·-0.5Census Business Dynamics Statistics
Cancer other than skin cancer7.5%1811+0.6CDC PLACES
Catholic adherents9.2830·54·-0.7
Child poverty rate, ages 0-17 uncertain13.7%5072-0.2Census SAIPE
Children in the mobility cohort954———Opportunity Atlas
Children with below-median parental income954———Social Capital Atlas
Cholesterol screening80.4%1613-0.8CDC PLACES
Chronic obstructive pulmonary disease5.8%4875-0.3CDC PLACES
Cognitive disability14.8%4671-0.2CDC PLACES
Colorectal cancer screening59.3%7665+0.7CDC PLACES
Congregations per 10,000 people24.68·59·-1.1
Coronary heart disease5.1%8886-1.0CDC PLACES
Current asthma11%1634+1.1CDC PLACES
Current cigarette smoking14.1%7275-0.6CDC PLACES
Dental visit in the past year60.5%3658-0.2CDC PLACES
Departures per 100 people staying5.2958·38·+0.1IRS county migration flows
Depression24.5%2244+0.9CDC PLACES
Diagnosed diabetes8.2%9695-0.9CDC PLACES
Disability-free score0.68358·78·+0.5
Economic connectedness1.015085+0.2Social Capital Atlas
Economic connectedness in high school1.118289+1.1Social Capital Atlas
Economy score0.81310·50·-1.3
Education score-0.64913·13·-1.0
Effective property tax rate1.1774·74·+0.4Census ACS 5-year
Employed4,252———BLS LAUS
Evangelical Protestant adherents49.2100·92·+2.6
Fair or poor self-rated health16.5%5681-0.4CDC PLACES
Fine particulate matter4.89297-0.8County Health Rankings
Firearm share of suicides, standardised151—97·—CDC WONDER mortality; RAND firearm ownership database
Firearm suicide rate21—93·—CDC WONDER mortality; RAND firearm ownership database
Flu vaccination among Medicare enrollees0.35%6027+0.3County Health Rankings
Food insecurity10.9%8392-0.7CDC PLACES
Frequent mental distress18.4%1253+1.0CDC PLACES
Frequent physical distress12.9%3264+0.2CDC PLACES
Friending bias0.03033475+0.3Social Capital Atlas
Friending clustering0.12878·76·+0.4Social Capital Atlas
Gini index of income inequality0.3998493-0.9Census ACS 5-year
Gross domestic product$506,910k———BEA Regional Accounts
Health score0.094138·59·-0.0
Hearing disability6.9%5448-0.2CDC PLACES
High blood pressure28.2%8291-0.8CDC PLACES
High cholesterol26.9%9899-1.7CDC PLACES
High school graduation0.825%—18—County Health Rankings
Homeownership rate72.4%14·41·-0.9Census ACS 5-year
Housing insecurity9.4%7793-0.7CDC PLACES
Housing units4,377———Census ACS 5-year
Income gap between arrivals and departures$-2,84030·25·-0.4IRS county migration flows
Independent-living disability7.5%5477-0.4CDC PLACES
Injury deaths uncertain91.86658-0.5County Health Rankings
Jail admission rate5,61997·88·+2.5
Jail population rate2,814100·98·+7.8
Labour force4,354———BLS LAUS
Lack of reliable transportation7.3%4778-0.3CDC PLACES
Lacking social and emotional support22%4370-0.1CDC PLACES
Learning rate uncertain-0.02235241-0.4Stanford Education Data Archive
Life expectancy75.3 years2450-0.5County Health Rankings
Loneliness31.8%3378+0.2CDC PLACES
Mainline Protestant adherents10.830·74·-0.6
Mammography in the past two years72.7%3842-0.1CDC PLACES
Material security score0.89785·87·+0.6
Mean adjusted gross income per return$67,7772748-0.8IRS Statistics of Income
Mean income of arriving households$48,52520·29·-0.7IRS county migration flows
Mean income of departing households$51,36534·46·-0.3IRS county migration flows
Mean travel time to work19.6 min4482+0.0Census ACS 5-year
Median age43.5 years58·68·+0.1Census ACS 5-year
Median gross rent$82363·45·+0.2Census ACS 5-year
Median home value$187,40063·57·+0.1Census ACS 5-year
Median household income$70,953—70—Census ACS 5-year
Median household income (model-based)$60,6631444-1.1Census SAIPE
Median property tax bill2,19988·71·+1.3Census ACS 5-year
Membership of volunteering groups0.0863%6467+0.2Social Capital Atlas
Membership organisations14.73678-0.4County Health Rankings
Mobility disability10.6%7086-0.7CDC PLACES
Mutual-friend share0.99772·81·+0.7Social Capital Atlas
Net business formation rate-4.314·4·-1.3Census Business Dynamics Statistics
Net migration per 100 people staying0.16462·49·+0.3IRS county migration flows
No leisure-time physical activity21.1%9487-1.0CDC PLACES
Obesity33%8485-1.1CDC PLACES
Occupied housing units3,710———Census ACS 5-year
Orthodox Christian adherents098·78·-0.1
Other religion adherents3.5672·77·-0.1
Owner-occupied housing units2,687———Census ACS 5-year
People covered by a tax return7,620———IRS Statistics of Income
People per tax return236·44·-0.4IRS Statistics of Income
People who did not move6,727———IRS county migration flows
Per capita income$36,9984667-0.1Census ACS 5-year
Per capita personal income$52,9321045-1.1BEA Regional Accounts
Personal income$466,860k———BEA Regional Accounts
Population8,820———BEA Regional Accounts
Population8,810———County Health Rankings
Population (firearm measures)8,481———CDC WONDER mortality; RAND firearm ownership database
Population aged 15 and over7,329———Census ACS 5-year
Population aged 18 and over6,918———CDC PLACES
Population aged 25 and over6,247———Census ACS 5-year
Population aged 65 and over1,833———Census ACS 5-year
Population below the poverty line uncertain746———Census ACS 5-year
Population below the poverty line1,062———Census SAIPE
Population for whom poverty status is determined8,475———Census ACS 5-year
Population for whom poverty status is determined8,362———Census SAIPE
Population in the same house one year ago7,988———Census ACS 5-year
Population with a bachelor's degree or higher1,595———Census ACS 5-year
Population, decennial census8,940———
Poverty rate uncertain8.8%5884-0.3Census ACS 5-year
Poverty rate (model-based)12.7%1257+0.6Census SAIPE
Premature mortality4732752+0.4County Health Rankings
Presidential votes cast, 20004,271———MIT Election Data and Science Lab
Presidential votes cast, 20044,484———MIT Election Data and Science Lab
Presidential votes cast, 20084,450———MIT Election Data and Science Lab
Presidential votes cast, 20124,423———MIT Election Data and Science Lab
Presidential votes cast, 20164,374———MIT Election Data and Science Lab
Presidential votes cast, 20204,825———MIT Election Data and Science Lab
Presidential votes cast, 20244,638———MIT Election Data and Science Lab
Pretrial share of the jail population12.8%18·5·-1.4
Preventable hospital stays2,4624362+0.0County Health Rankings
Private job growth-6.326·3·-1.4BLS Quarterly Census of Employment and Wages
Private jobs2,607———BLS Quarterly Census of Employment and Wages
Public-good pages per 1,000 users0.02413678-0.4Social Capital Atlas
Received food stamps7.4%20·8·-0.7CDC PLACES
Religious adherents72.976·90·+0.7
Republican share of the two-party vote, 200066.630·75·-0.5MIT Election Data and Science Lab
Republican share of the two-party vote, 200465.928·64·-0.5MIT Election Data and Science Lab
Republican share of the two-party vote, 200862.432·61·-0.4MIT Election Data and Science Lab
Republican share of the two-party vote, 201271.342·74·-0.0MIT Election Data and Science Lab
Republican share of the two-party vote, 201680.842·82·+0.2MIT Election Data and Science Lab
Republican share of the two-party vote, 202079.644·78·+0.1MIT Election Data and Science Lab
Republican share of the two-party vote, 202480.244·75·+0.1MIT Election Data and Science Lab
Republican swing, 2000 to 202413.684·67·+1.0MIT Election Data and Science Lab
Returns claiming charitable contributions3.72%74·59·+0.6IRS Statistics of Income
Returns claiming the earned income credit12.2%60·28·+0.1IRS Statistics of Income
Returns reporting capital gains21.1%38·79·-0.2IRS Statistics of Income
Returns reporting unemployment compensation1.99%70·56·+0.2IRS Statistics of Income
Routine checkup in the past year67%4·3·-1.9CDC PLACES
Self-care disability3%6082-0.6CDC PLACES
Share aged 65 and over20.7%34·60·-0.3Census ACS 5-year
Share American Indian or Alaska Native, not Hispanic uncertain1.3%—76·—Census ACS 5-year
Share divorced uncertain7.37%9·3·-1.3Census ACS 5-year
Share Hispanic or Latino, any race3.38%29·31·-0.6Census ACS 5-year
Share in the same house a year ago90%54·74·+0.3Census ACS 5-year
Share never married28.4%88·52·+0.9Census ACS 5-year
Share now married58.2%46·85·-0.0Census ACS 5-year
Share of suicides by firearm84.6%—97·—CDC WONDER mortality; RAND firearm ownership database
Share of two or more races, not Hispanic uncertain3.35%41·53·-0.3Census ACS 5-year
Share White, not Hispanic90.9%60·76·+0.5Census ACS 5-year
Share widowed uncertain6.07%21·31·-0.8Census ACS 5-year
Share with a bachelor's degree or higher25.5%6066+0.3Census ACS 5-year
Sleeping less than 7 hours34.5%2873+0.2CDC PLACES
Social connection score0.72240·88·-0.2
Stroke2.8%4876-0.4CDC PLACES
Taking blood pressure medication51.4%16·7·-1.5CDC PLACES
Tax returns filed4,030———IRS Statistics of Income
Tests taken10,287———Stanford Education Data Archive
Threat of utility shut-off6.6%6386-0.6CDC PLACES
Total population8,874———Census ACS 5-year
Trend in average test score-0.02454112-0.6Stanford Education Data Archive
Unemployed102———BLS LAUS
Unemployment rate2.3%6491-0.6BLS LAUS
Vacancy rate uncertain15.2%26·51·-0.6Census ACS 5-year
Vacant housing units uncertain667———Census ACS 5-year
Vision disability3.9%7285-0.6CDC PLACES
Women aged 15 to 501,696———Census ACS 5-year
Workers aged 16 and over who commute3,986———Census ACS 5-year
Years of potential life lost9,9093350-0.0County Health Rankings

11of 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.