placestats

Sheridan County, ND

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

Population1327
Density0.5people per km² of land
Median household income$67,361
Land area2518km²

Its peers

These are the 50 areas most like Sheridan 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: Wibaux County, MT, Sully County, SD, Blaine County, MT, Valley County, MT, Carbon County, WY, Perkins County, SD, Cheyenne County, CO, Jones County, SD. The peer scores below compare this county with all 50.

Least like its peers

The measures where Sheridan 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
Median gross rent$3730th pct by value0th pct by value -3.2 sd
Membership organisations46.3100th pct100th pct +3.1 sd
Social connection score2.69100th pct by value100th pct by value +2.8 sd
Congregations per 10,000 people10398th pct by value100th pct by value +2.7 sd
Share widowed11.6%100th pct by value99th pct by value +2.0 sd
Net business formation rate-9.526th pct by value1st pct by value -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 here0.5536195+0.4Opportunity Atlas
Adults under 65 without health insurance8.2%8080-0.7CDC PLACES
Aggregate travel time to work14,875 min———Census ACS 5-year
All natural teeth lost, age 65 and over12%5673-0.2CDC PLACES
Any disability28.8%5671-0.2CDC PLACES
Arthritis23.6%3062+0.4CDC PLACES
Binge drinking22.7%144+1.0CDC PLACES
Black Protestant adherents098·45·-0.1
Business closing rate9.5256·72·+0.1Census Business Dynamics Statistics
Business establishments31———Census Business Dynamics Statistics
Business establishments closed3———Census Business Dynamics Statistics
Business establishments opened0———Census Business Dynamics Statistics
Business opening rate020·2·-1.4Census Business Dynamics Statistics
Cancer other than skin cancer7.3%6032-0.1CDC PLACES
Catholic adherents3.4820·30·-0.7
Child poverty rate, ages 0-17 uncertain22.9%627+1.8Census SAIPE
Children in the mobility cohort258———Opportunity Atlas
Children with below-median parental income258———Social Capital Atlas
Cholesterol screening80.9%3618-0.3CDC PLACES
Chronic obstructive pulmonary disease6%5071-0.1CDC PLACES
Cognitive disability14.2%7078-0.6CDC PLACES
Colorectal cancer screening55.9%4836+0.1CDC PLACES
Congregations per 10,000 people10398·100·+2.7
Coronary heart disease5.6%4463+0.1CDC PLACES
Current asthma10.4%5260-0.2CDC PLACES
Current cigarette smoking15.7%2855+0.5CDC PLACES
Dental visit in the past year62.2%4268-0.0CDC PLACES
Departures per 100 people staying3.4916·3·-1.0IRS county migration flows
Depression22.5%5264-0.2CDC PLACES
Diagnosed diabetes9%5884-0.3CDC PLACES
Disability-free score0.54660·71·+0.2
Economy score1.1854·70·+0.1
Effective property tax rate0.69941·37·-0.5Census ACS 5-year
Employed556———BLS LAUS
Evangelical Protestant adherents16.866·44·+0.0
Fair or poor self-rated health17.1%5875-0.2CDC PLACES
Fine particulate matter5.35293-0.3County Health Rankings
Flu vaccination among Medicare enrollees0.4%8644+0.9County Health Rankings
Food insecurity12%6184-0.5CDC PLACES
Frequent mental distress15.8%7691-1.1CDC PLACES
Frequent physical distress12%6882-0.6CDC PLACES
Friending clustering0.10916·38·-0.9Social Capital Atlas
Gini index of income inequality0.4036091-0.5Census ACS 5-year
Gross domestic product$87,033k———BEA Regional Accounts
Health score0.026564·54·+0.3
Hearing disability7.4%2628+0.5CDC PLACES
High blood pressure30.8%2468+0.6CDC PLACES
High cholesterol30.3%3274+0.3CDC PLACES
Homeownership rate82.5%92·92·+1.1Census ACS 5-year
Housing insecurity10.1%5785-0.5CDC PLACES
Housing units824———Census ACS 5-year
Independent-living disability7.6%6074-0.3CDC PLACES
Labour force577———BLS LAUS
Lack of reliable transportation7.1%5782-0.5CDC PLACES
Lacking social and emotional support22.5%2564+0.0CDC PLACES
Learning rate uncertain0.0798—99—Stanford Education Data Archive
Loneliness31%6188-0.3CDC PLACES
Mainline Protestant adherents32.792·97·+1.7
Mammography in the past two years75.8%8070+1.0CDC PLACES
Material security score0.59848·71·-0.1
Mean adjusted gross income per return$74,1756065-0.1IRS Statistics of Income
Mean income of departing households$39,9577·8·-1.2IRS county migration flows
Mean travel time to work25.6 min440+1.8Census ACS 5-year
Median age50.8 years82·95·+1.0Census ACS 5-year
Median gross rent$3730·0·-3.2Census ACS 5-year
Median home value$107,70020·13·-0.8Census ACS 5-year
Median household income$67,361—61—Census ACS 5-year
Median household income (model-based)$62,2513249-0.4Census SAIPE
Median property tax bill7538·15·-1.4Census ACS 5-year
Membership of volunteering groups0.0686%1944-0.9Social Capital Atlas
Membership organisations46.3100100+3.1County Health Rankings
Mobility disability11%6481-0.4CDC PLACES
Mutual-friend share0.9885·28·-2.0Social Capital Atlas
Net business formation rate-9.526·1·-2.0Census Business Dynamics Statistics
No leisure-time physical activity23.6%4073+0.2CDC PLACES
Obesity37.6%2455+0.6CDC PLACES
Occupied housing units676———Census ACS 5-year
Orthodox Christian adherents0100·78·—
Other religion adherents050·11·-0.4
Owner-occupied housing units558———Census ACS 5-year
People covered by a tax return1,120———IRS Statistics of Income
People per tax return282·79·+0.6IRS Statistics of Income
People who did not move1,004———IRS county migration flows
Per capita income$41,2467882+0.9Census ACS 5-year
Per capita personal income$64,7554477-0.2BEA Regional Accounts
Personal income$82,692k———BEA Regional Accounts
Population1,277———BEA Regional Accounts
Population1,266———County Health Rankings
Population aged 15 and over1,159———Census ACS 5-year
Population aged 18 and over1,018———CDC PLACES
Population aged 25 and over1,032———Census ACS 5-year
Population aged 65 and over420———Census ACS 5-year
Population below the poverty line uncertain113———Census ACS 5-year
Population below the poverty line206———Census SAIPE
Population for whom poverty status is determined1,322———Census ACS 5-year
Population for whom poverty status is determined1,249———Census SAIPE
Population in the same house one year ago1,270———Census ACS 5-year
Population with a bachelor's degree or higher209———Census ACS 5-year
Population, decennial census1,265———
Poverty rate uncertain8.55%6286-0.5Census ACS 5-year
Poverty rate (model-based)16.5%829+1.6Census SAIPE
Premature mortality uncertain5382037+0.8County Health Rankings
Presidential votes cast, 2000928———MIT Election Data and Science Lab
Presidential votes cast, 2004944———MIT Election Data and Science Lab
Presidential votes cast, 2008803———MIT Election Data and Science Lab
Presidential votes cast, 2012822———MIT Election Data and Science Lab
Presidential votes cast, 2016787———MIT Election Data and Science Lab
Presidential votes cast, 2020812———MIT Election Data and Science Lab
Presidential votes cast, 2024757———MIT Election Data and Science Lab
Private job growth6.7892·92·+0.7BLS Quarterly Census of Employment and Wages
Private jobs126———BLS Quarterly Census of Employment and Wages
Public-good pages per 1,000 users0.04668698+1.0Social Capital Atlas
Received food stamps7.5%32·9·-0.6CDC PLACES
Religious adherents5350·63·-0.0
Republican share of the two-party vote, 200081.569·97·+0.7MIT Election Data and Science Lab
Republican share of the two-party vote, 200478.455·92·+0.4MIT Election Data and Science Lab
Republican share of the two-party vote, 200870.843·81·-0.1MIT Election Data and Science Lab
Republican share of the two-party vote, 201279.851·91·+0.3MIT Election Data and Science Lab
Republican share of the two-party vote, 201687.257·95·+0.5MIT Election Data and Science Lab
Republican share of the two-party vote, 202086.965·95·+0.5MIT Election Data and Science Lab
Republican share of the two-party vote, 202486.459·93·+0.4MIT Election Data and Science Lab
Republican swing, 2000 to 20244.9933·34·-0.2MIT Election Data and Science Lab
Returns claiming charitable contributions0%40·5·-1.0IRS Statistics of Income
Returns claiming the earned income credit3.57%20·1·-1.0IRS Statistics of Income
Returns reporting capital gains33.9%94·99·+1.2IRS Statistics of Income
Returns reporting unemployment compensation0%60·9·-0.7IRS Statistics of Income
Routine checkup in the past year72.1%56·22·+0.5CDC PLACES
Self-care disability3.2%5672-0.2CDC PLACES
Share aged 65 and over31.6%94·98·+1.6Census ACS 5-year
Share Black, not Hispanic0%—5·—Census ACS 5-year
Share divorced uncertain11%49·35·-0.2Census ACS 5-year
Share in the same house a year ago95.7%96·99·+1.8Census ACS 5-year
Share Native Hawaiian or Pacific Islander, not Hispanic0%100·83·—Census ACS 5-year
Share never married21.6%44·8·-0.1Census ACS 5-year
Share now married55.8%26·73·-0.4Census ACS 5-year
Share of births to unmarried women0%87·11·-0.4Census ACS 5-year
Share of some other race, not Hispanic0%—53·—Census ACS 5-year
Share White, not Hispanic95.6%100·97·+1.0Census ACS 5-year
Share widowed11.6%100·99·+2.0Census ACS 5-year
Share with a bachelor's degree or higher20.3%2042-0.7Census ACS 5-year
Sleeping less than 7 hours33.9%3878+0.1CDC PLACES
Social connection score2.69100·100·+2.8
Stroke2.9%4467-0.1CDC PLACES
Taking blood pressure medication58%78·44·+1.0CDC PLACES
Tax returns filed560———IRS Statistics of Income
Tests taken908———Stanford Education Data Archive
Threat of utility shut-off6.4%7588-0.8CDC PLACES
Total population1,327———Census ACS 5-year
Unemployed21———BLS LAUS
Unemployment rate3.6%2243+0.7BLS LAUS
Vacancy rate uncertain18%18·63·-0.7Census ACS 5-year
Vacant housing units uncertain148———Census ACS 5-year
Vision disability4.2%5876-0.3CDC PLACES
Women aged 15 to 50233———Census ACS 5-year
Workers aged 16 and over who commute580———Census ACS 5-year

8of 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.