Demographics details for Minot, ND vs Blue mounds, WI
Population Overview
Compare main population characteristics in Minot, ND vs Blue mounds, WI.
| Data | Minot | Blue mounds |
|---|---|---|
| Population | 47,759 | 924 |
| Median Age | 33.0 years | 37.0 years |
| Median Income | $75,545 | $71,094 |
| Married Families | 39.0% | 34.0% |
| Poverty Level | 10% | 8% |
| Unemployment Rate | 2.7 | 2.4 |
Population Comparison: Minot vs Blue mounds
- In Minot, the population is higher at 47,759, compared to 924 in Blue mounds.
- The median age in Blue mounds is higher at 37.0 years, compared to 33.0 years in Minot.
- Minot has a higher median income of $75,545 compared to $71,094 in Blue mounds.
- A higher percentage of married families is found in Minot at 39.0% compared to 34.0% in Blue mounds.
- Minot has a higher poverty level at 10% compared to 8% in Blue mounds.
- The unemployment rate in Minot is higher at 2.7%, compared to 2.4% in Blue mounds.
Demographics
Demographics Minot vs Blue mounds provide insight into the diversity of the communities to compare.
| Demographic | Minot | Blue mounds |
|---|---|---|
| Black | 4 | 1 |
| White | 78 | 96 |
| Asian | 2 | Data is updating |
| Hispanic | 7 | 1 |
| Two or More Races | 7 | 2 |
| American Indian | 2 | Data is updating |
Demographics Comparison: Minot vs Blue mounds
- A higher percentage of Black residents are in Minot at 4% compared to 1% in Blue mounds.
- The percentage of White residents is higher in Blue mounds at 96% compared to 78% in Minot.
- The Asian population is larger in Minot at 2% compared to 0% in Blue mounds.
- The Hispanic community is larger in Minot at 7% compared to 1% in Blue mounds.
- More residents identify as two or more races in Minot at 7% compared to 2% in Blue mounds.
- A greater percentage of American Indian residents live in Minot at 2% compared to 0% in Blue mounds.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Minot | Blue mounds |
|---|---|---|
| Mental Health Not Good | 13.3% | 13.4% |
| Physical Health Not Good | 9.3% | 7.8% |
| Depression | 18.8% | 24.2% |
| Smoking | 15.9% | 11.9% |
| Binge Drinking | 22.5% | 25.4% |
| Obesity | 37.8% | 27.3% |
| Disability Percentage | 11.0% | 11.0% |
Health Statistics Comparison: Minot vs Blue mounds
- In Blue mounds, a higher percentage report poor mental health at 13.4% compared to 13.3% in Minot.
- Higher depression rates are seen in Blue mounds at 24.2% versus 18.8% in Minot.
- Smoking is more prevalent in Minot at 15.9% compared to 11.9% in Blue mounds.
- More residents engage in binge drinking in Blue mounds at 25.4% compared to 22.5% in Minot.
- Obesity rates are higher in Minot at 37.8% compared to 27.3% in Blue mounds.
- Disability percentages are the same in both Minot and Blue mounds at 11.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Minot | Blue mounds |
|---|---|---|
| No Schooling | 1.3% (614) | 0.0% (Data is updating) |
| High School Diploma | 16.9% (8,050) | 15.3% (141) |
| Less than High School | 7.9% (3,779) | 9.0% (83) |
| Bachelor's Degree and Higher | 19.8% (9,464) | 19.7% (182) |
Education Levels Comparison: Minot vs Blue mounds
- A higher percentage of residents in Minot have no formal schooling at 1.3% compared to 0.0% in Blue mounds.
- A higher percentage of residents in Minot hold a high school diploma at 16.9% compared to 15.3% in Blue mounds.
- The percentage of residents with less than a high school education is higher in Blue mounds at 9.0%, compared to 7.9% in Minot.
- A higher percentage of residents in Minot hold a bachelor's degree or higher at 19.8% compared to 19.7% in Blue mounds.
Crime and Safety
Understanding crime rates and safety measures is crucial for assessing the livability of a city or town. Crime levels can vary significantly from one neighborhood to another, influenced by various factors such as population density and local amenities. For instance, areas with high foot traffic, like train stations, might experience different crime dynamics compared to quieter residential neighborhoods. Evaluating these patterns helps in making informed decisions about safety and community well-being.