Demographics details for Towner, ND vs Blue springs, MO
Population Overview
Compare main population characteristics in Towner, ND vs Blue springs, MO.
| Data | Towner | Blue springs |
|---|---|---|
| Population | 2,064 | 59,518 |
| Median Age | 49.1 years | 36.6 years |
| Median Income | $61,250 | $82,965 |
| Married Families | 47.0% | 42.0% |
| Poverty Level | Data is updating | 9% |
| Unemployment Rate | 2.7 | 3.7 |
Population Comparison: Towner vs Blue springs
- The population in Blue springs is higher at 59,518, compared to 2,064 in Towner.
- Residents in Towner have a higher median age of 49.1 years compared to 36.6 years in Blue springs.
- Blue springs has a higher median income of $82,965, compared to $61,250 in Towner.
- A higher percentage of married families is found in Towner at 47.0% compared to 42.0% in Blue springs.
- The poverty level is higher in Blue springs at 9%, compared to 0% in Towner.
- Blue springs has a higher unemployment rate at 3.7% compared to 2.7% in Towner.
Demographics
Demographics Towner vs Blue springs provide insight into the diversity of the communities to compare.
| Demographic | Towner | Blue springs |
|---|---|---|
| Black | Data is updating | 7 |
| White | 84 | 79 |
| Asian | Data is updating | 1 |
| Hispanic | 4 | 7 |
| Two or More Races | 5 | 6 |
| American Indian | 7 | Data is updating |
Demographics Comparison: Towner vs Blue springs
- In Blue springs, the percentage of Black residents is higher at 7% compared to 0% in Towner.
- Towner has a higher percentage of White residents at 84% compared to 79% in Blue springs.
- In Blue springs, the Asian population stands at 1%, greater than 0% in Towner.
- Blue springs has a higher percentage of Hispanic residents at 7%, compared to 4% in Towner.
- The percentage of residents identifying as two or more races is higher in Blue springs at 6%, compared to 5% in Towner.
- A greater percentage of American Indian residents live in Towner at 7% compared to 0% in Blue springs.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Towner | Blue springs |
|---|---|---|
| Mental Health Not Good | 15.3% | 17.3% |
| Physical Health Not Good | 11.0% | 10.4% |
| Depression | 19.9% | 22.8% |
| Smoking | 19.6% | 15.6% |
| Binge Drinking | 20.8% | 21.5% |
| Obesity | 38.2% | 34.7% |
| Disability Percentage | 18.0% | 10.0% |
Health Statistics Comparison: Towner vs Blue springs
- In Blue springs, a higher percentage report poor mental health at 17.3% compared to 15.3% in Towner.
- Higher depression rates are seen in Blue springs at 22.8% versus 19.9% in Towner.
- Smoking is more prevalent in Towner at 19.6% compared to 15.6% in Blue springs.
- More residents engage in binge drinking in Blue springs at 21.5% compared to 20.8% in Towner.
- Obesity rates are higher in Towner at 38.2% compared to 34.7% in Blue springs.
- Disability percentages are higher in Towner at 18.0% compared to 10.0% in Blue springs.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Towner | Blue springs |
|---|---|---|
| No Schooling | 3.7% (77) | 0.3% (178) |
| High School Diploma | 18.4% (379) | 16.5% (9,835) |
| Less than High School | 20.1% (415) | 4.9% (2,932) |
| Bachelor's Degree and Higher | 12.9% (267) | 21.8% (12,992) |
Education Levels Comparison: Towner vs Blue springs
- A higher percentage of residents in Towner have no formal schooling at 3.7% compared to 0.3% in Blue springs.
- A higher percentage of residents in Towner hold a high school diploma at 18.4% compared to 16.5% in Blue springs.
- More residents in Towner have less than a high school education at 20.1% compared to 4.9% in Blue springs.
- In Blue springs, a larger share of residents have a bachelor's degree or higher at 21.8% compared to 12.9% in Towner.
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.