placestats

Marshall County, MN

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

Population8961
Density1.9people per km² of land
Median household income$71,701
Land area4597km²

Its peers

These are the 50 areas most like Marshall 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: Lincoln County, WA, Marshall County, SD, Dallam County, TX, Carbon County, MT, Columbia County, WA, Harlan County, NE, Churchill County, NV, Park County, WY. The peer scores below compare this county with all 50.

Least like its peers

The measures where Marshall 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
Returns reporting unemployment compensation7.55%98th pct by value99th pct by value +3.0 sd
Economic connectedness in high school0.7470th pct36th pct -2.0 sd
Injury deaths54.598th pct97th pct -1.9 sd
Unemployment rate4.4%4th pct20th pct +1.9 sd
Membership organisations31.694th pct99th pct +1.8 sd
Pretrial share of the jail population0%10th pct by value2nd 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 here0.5597296+0.8Opportunity Atlas
Adults under 65 without health insurance8.7%7872-0.6CDC PLACES
Aggregate travel time to work89,150 min———Census ACS 5-year
All natural teeth lost, age 65 and over12.5%4469-0.2CDC PLACES
Any disability28.6%5873-0.5CDC PLACES
Arrivals per 100 people staying3.7332·9·-0.7IRS county migration flows
Arthritis21.1%8691-1.2CDC PLACES
Average test score0.2148086+0.8Stanford Education Data Archive
Binge drinking21.8%209+0.9CDC PLACES
Births per 1,000 women aged 15 to 50 uncertain46.8—25·—Census ACS 5-year
Black Protestant adherents098·45·-0.1
Business closing rate1078·80·+0.7Census Business Dynamics Statistics
Business establishments217———Census Business Dynamics Statistics
Business establishments closed22———Census Business Dynamics Statistics
Business establishments opened18———Census Business Dynamics Statistics
Business opening rate8.2242·31·-0.3Census Business Dynamics Statistics
Cancer other than skin cancer7.2%5444+0.1CDC PLACES
Catholic adherents16.160·74·+0.1
Child poverty rate, ages 0-17 uncertain9.9%9490-1.3Census SAIPE
Children in single-parent households0.226%74·49·+0.4County Health Rankings
Children in the mobility cohort1,249———Opportunity Atlas
Children with below-median parental income1,249———Social Capital Atlas
Cholesterol screening81.9%5232+0.1CDC PLACES
Chronic obstructive pulmonary disease5.4%8885-1.0CDC PLACES
Cognitive disability14.7%5872-0.4CDC PLACES
Colorectal cancer screening59.8%8470+0.9CDC PLACES
Congregations per 10,000 people43.184·91·+0.8
Coronary heart disease5.3%7078-0.6CDC PLACES
Current asthma10.2%4269-0.2CDC PLACES
Current cigarette smoking15.9%3252+0.4CDC PLACES
Dental visit in the past year63.1%4873+0.3CDC PLACES
Departures per 100 people staying3.6912·5·-1.1IRS county migration flows
Depression25.3%1635+1.0CDC PLACES
Diagnosed diabetes9.1%6483-0.5CDC PLACES
Disability-free score0.69772·79·+0.7
Economic connectedness1.169298+1.3Social Capital Atlas
Economic connectedness in high school0.747036-2.0Social Capital Atlas
Economy score1.3764·78·+0.3
Education score-0.14824·33·-0.6
Effective property tax rate0.82938·50·-0.4Census ACS 5-year
Employed4,814———BLS LAUS
Evangelical Protestant adherents1026·22·-0.7
Fair or poor self-rated health16.8%5278-0.5CDC PLACES
Fine particulate matter6.33578+0.0County Health Rankings
Flu vaccination among Medicare enrollees0.43%8056+1.0County Health Rankings
Food insecurity12.5%5279-0.4CDC PLACES
Foreign-born population uncertain163———Census ACS 5-year
Frequent mental distress17.1%5877-0.2CDC PLACES
Frequent physical distress11.7%7686-0.8CDC PLACES
Friending bias-0.004766692-0.6Social Capital Atlas
Friending clustering0.13492·84·+1.0Social Capital Atlas
Gini index of income inequality0.3759499-1.6Census ACS 5-year
Gross domestic product$525,830k———BEA Regional Accounts
Health score0.56490·85·+1.1
Hearing disability6.5%8667-0.9CDC PLACES
High blood pressure28.8%6887-0.5CDC PLACES
High cholesterol29.3%5884-0.4CDC PLACES
Homeownership rate85.2%94·97·+1.2Census ACS 5-year
Housing insecurity10.2%4884-0.5CDC PLACES
Housing units4,416———Census ACS 5-year
Incarceration rate3003·3·-1.3
Income gap between arrivals and departures$-2,47736·26·-0.3IRS county migration flows
Independent-living disability7.5%5877-0.5CDC PLACES
Injury deaths uncertain54.59897-1.9County Health Rankings
Jail admission rate37.50·0·-1.5
Jail population rate15018·9·-0.6
Labour force5,038———BLS LAUS
Lack of reliable transportation7.7%4569-0.2CDC PLACES
Lacking social and emotional support22.2%3868-0.2CDC PLACES
Learning rate-0.0597—7—Stanford Education Data Archive
Life expectancy81.4 years9697+1.4County Health Rankings
Loneliness31.3%4884-0.0CDC PLACES
Mainline Protestant adherents37.292·99·+1.4
Mammography in the past two years76.2%7874+0.8CDC PLACES
Material security score1.1698·96·+1.6
Mean adjusted gross income per return$82,8847878+0.3IRS Statistics of Income
Mean income of arriving households$53,15130·44·-0.4IRS county migration flows
Mean income of departing households$55,62852·60·-0.1IRS county migration flows
Mean travel time to work23.6 min2055+0.6Census ACS 5-year
Median age43.2 years64·66·+0.2Census ACS 5-year
Median gross rent$73733·24·-0.6Census ACS 5-year
Median home value$153,30044·39·-0.5Census ACS 5-year
Median household income$71,701—71—Census ACS 5-year
Median household income (model-based)$69,8435868+0.3Census SAIPE
Median property tax bill1,27120·38·-0.8Census ACS 5-year
Membership of volunteering groups0.0475%817-1.2Social Capital Atlas
Membership organisations31.69499+1.8County Health Rankings
Mobility disability10.8%7284-0.7CDC PLACES
Mutual-friend share0.99434·54·+0.1Social Capital Atlas
Net business formation rate-1.8324·13·-0.7Census Business Dynamics Statistics
Net migration per 100 people staying0.039166·42·+0.4IRS county migration flows
No leisure-time physical activity23.5%6074-0.3CDC PLACES
Obesity39.2%1439+0.9CDC PLACES
Occupied housing units3,740———Census ACS 5-year
Orthodox Christian adherents096·78·-0.2
Other religion adherents026·11·-0.4
Owner-occupied housing units3,188———Census ACS 5-year
People covered by a tax return8,390———IRS Statistics of Income
People per tax return248·55·-0.3IRS Statistics of Income
People who did not move7,675———IRS county migration flows
Per capita income$36,8894467-0.1Census ACS 5-year
Per capita personal income$71,2005886+0.0BEA Regional Accounts
Personal income$628,120k———BEA Regional Accounts
Population8,822———BEA Regional Accounts
Population8,810———County Health Rankings
Population aged 15 and over7,287———Census ACS 5-year
Population aged 18 and over6,782———CDC PLACES
Population aged 25 and over6,300———Census ACS 5-year
Population aged 65 and over2,022———Census ACS 5-year
Population below the poverty line655———Census ACS 5-year
Population below the poverty line795———Census SAIPE
Population for whom poverty status is determined8,803———Census ACS 5-year
Population for whom poverty status is determined8,736———Census SAIPE
Population in the same house one year ago8,170———Census ACS 5-year
Population with a bachelor's degree or higher1,189———Census ACS 5-year
Population, decennial census9,040———
Poverty rate7.44%7992-0.9Census ACS 5-year
Poverty rate (model-based)9.1%9886-1.0Census SAIPE
Premature mortality3088491-0.8County Health Rankings
Presidential votes cast, 20005,199———MIT Election Data and Science Lab
Presidential votes cast, 20045,562———MIT Election Data and Science Lab
Presidential votes cast, 20084,739———MIT Election Data and Science Lab
Presidential votes cast, 20124,698———MIT Election Data and Science Lab
Presidential votes cast, 20164,817———MIT Election Data and Science Lab
Presidential votes cast, 20205,113———MIT Election Data and Science Lab
Presidential votes cast, 20245,031———MIT Election Data and Science Lab
Pretrial share of the jail population0%10·2·-1.7
Preventable hospital stays2,4514262+0.0County Health Rankings
Prison population rate1500·2·-1.4
Private job growth4.1482·80·+0.8BLS Quarterly Census of Employment and Wages
Private jobs1,786———BLS Quarterly Census of Employment and Wages
Public-good pages per 1,000 users0.03027490+0.3Social Capital Atlas
Received food stamps8.9%52·18·-0.2CDC PLACES
Religious adherents63.352·81·+0.3
Republican share of the two-party vote, 200060.422·55·-0.8MIT Election Data and Science Lab
Republican share of the two-party vote, 20045820·39·-0.9MIT Election Data and Science Lab
Republican share of the two-party vote, 200849.720·28·-1.0MIT Election Data and Science Lab
Republican share of the two-party vote, 201256.324·36·-0.8MIT Election Data and Science Lab
Republican share of the two-party vote, 201672.432·56·-0.3MIT Election Data and Science Lab
Republican share of the two-party vote, 202074.238·62·-0.1MIT Election Data and Science Lab
Republican share of the two-party vote, 202476.242·64·-0.0MIT Election Data and Science Lab
Republican swing, 2000 to 202415.892·74·+1.2MIT Election Data and Science Lab
Returns claiming charitable contributions2.97%44·45·-0.1IRS Statistics of Income
Returns claiming the earned income credit10.3%20·15·-0.6IRS Statistics of Income
Returns reporting capital gains19.2%34·71·-0.3IRS Statistics of Income
Returns reporting unemployment compensation7.55%98·99·+3.0IRS Statistics of Income
Routine checkup in the past year71.5%40·18·-0.1CDC PLACES
Self-care disability3%7082-0.8CDC PLACES
Share aged 65 and over22.6%62·75·+0.3Census ACS 5-year
Share American Indian or Alaska Native, not Hispanic uncertain0.335%—56·—Census ACS 5-year
Share Asian, not Hispanic uncertain0.246%52·15·-0.4Census ACS 5-year
Share divorced9.8%43·19·-0.2Census ACS 5-year
Share foreign-born uncertain1.82%11·22·-0.8Census ACS 5-year
Share Hispanic or Latino, any race4.63%42·43·-0.6Census ACS 5-year
Share in the same house a year ago91.2%78·85·+0.7Census ACS 5-year
Share Native Hawaiian or Pacific Islander, not Hispanic0%94·83·-0.2Census ACS 5-year
Share never married27.4%72·45·+0.4Census ACS 5-year
Share now married56%30·74·-0.3Census ACS 5-year
Share of two or more races, not Hispanic2.38%17·22·-0.8Census ACS 5-year
Share separated uncertain0.371%—1·—Census ACS 5-year
Share White, not Hispanic91.9%74·80·+0.7Census ACS 5-year
Share widowed6.71%39·45·-0.2Census ACS 5-year
Share with a bachelor's degree or higher18.9%1835-0.8Census ACS 5-year
Sleeping less than 7 hours31.7%7490-0.7CDC PLACES
Social connection score1.5988·98·+1.2
Stroke2.8%5876-0.5CDC PLACES
Taking blood pressure medication56.5%58·23·+0.3CDC PLACES
Tax returns filed4,370———IRS Statistics of Income
Tests taken15,657———Stanford Education Data Archive
Threat of utility shut-off6.3%7290-0.8CDC PLACES
Total population8,961———Census ACS 5-year
Unemployed224———BLS LAUS
Unemployment rate4.4%420+1.9BLS LAUS
Vacancy rate15.3%32·52·-0.6Census ACS 5-year
Vacant housing units676———Census ACS 5-year
Vision disability4%6883-0.7CDC PLACES
Women aged 15 to 501,666———Census ACS 5-year
Women who gave birth in the past year uncertain78———Census ACS 5-year
Workers aged 16 and over who commute3,785———Census ACS 5-year
Years of potential life lost uncertain5,9479193-0.7County Health Rankings

10of 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.