Demographics details for Minot, ND vs Spring valley, IL
Population Overview
Compare main population characteristics in Minot, ND vs Spring valley, IL.
Data | Minot | Spring valley |
---|---|---|
Population | 47,759 | 5,461 |
Median Age | 33.0 years | 43.4 years |
Median Income | $75,545 | $60,861 |
Married Families | 39.0% | 40.0% |
Poverty Level | 10% | 14% |
Unemployment Rate | 2.7 | 5.1 |
Population Comparison: Minot vs Spring valley
- In Minot, the population is higher at 47,759, compared to 5,461 in Spring valley.
- The median age in Spring valley is higher at 43.4 years, compared to 33.0 years in Minot.
- Minot has a higher median income of $75,545 compared to $60,861 in Spring valley.
- In Spring valley, the percentage of married families is higher at 40.0%, compared to 39.0% in Minot.
- The poverty level is higher in Spring valley at 14%, compared to 10% in Minot.
- Spring valley has a higher unemployment rate at 5.1% compared to 2.7% in Minot.
Demographics
Demographics Minot vs Spring valley provide insight into the diversity of the communities to compare.
Demographic | Minot | Spring valley |
---|---|---|
Black | 4 | 2 |
White | 78 | 72 |
Asian | 2 | Data is updating |
Hispanic | 7 | 23 |
Two or More Races | 7 | 3 |
American Indian | 2 | Data is updating |
Demographics Comparison: Minot vs Spring valley
- A higher percentage of Black residents are in Minot at 4% compared to 2% in Spring valley.
- Minot has a higher percentage of White residents at 78% compared to 72% in Spring valley.
- The Asian population is larger in Minot at 2% compared to 0% in Spring valley.
- Spring valley has a higher percentage of Hispanic residents at 23%, compared to 7% in Minot.
- More residents identify as two or more races in Minot at 7% compared to 3% in Spring valley.
- A greater percentage of American Indian residents live in Minot at 2% compared to 0% in Spring valley.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Minot | Spring valley |
---|---|---|
Mental Health Not Good | 13.3% | 16.6% |
Physical Health Not Good | 9.3% | 11.5% |
Depression | 18.8% | 22.1% |
Smoking | 15.9% | 17.9% |
Binge Drinking | 22.5% | 17.7% |
Obesity | 37.8% | 37.6% |
Disability Percentage | 11.0% | 17.0% |
Health Statistics Comparison: Minot vs Spring valley
- In Spring valley, a higher percentage report poor mental health at 16.6% compared to 13.3% in Minot.
- Higher depression rates are seen in Spring valley at 22.1% versus 18.8% in Minot.
- Spring valley has a higher smoking rate at 17.9% compared to 15.9% in Minot.
- Binge drinking is more common in Minot at 22.5% compared to 17.7% in Spring valley.
- Obesity rates are higher in Minot at 37.8% compared to 37.6% in Spring valley.
- There is a higher percentage of disabled individuals in Spring valley at 17.0% compared to 11.0% in Minot.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Minot | Spring valley |
---|---|---|
No Schooling | 1.3% (614) | 1.6% (85) |
High School Diploma | 16.9% (8,050) | 20.0% (1,092) |
Less than High School | 7.9% (3,779) | 17.8% (970) |
Bachelor's Degree and Higher | 19.8% (9,464) | 12.3% (669) |
Education Levels Comparison: Minot vs Spring valley
- In Spring valley, a larger percentage of residents lack formal schooling at 1.6% compared to 1.3% in Minot.
- In Spring valley, the rate of residents with high school diplomas is higher at 20.0% compared to 16.9% in Minot.
- The percentage of residents with less than a high school education is higher in Spring valley at 17.8%, 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 12.3% in Spring valley.
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.