Demographics details for Blue springs, MO vs Newton, KS
Population Overview
Compare main population characteristics in Blue springs, MO vs Newton, KS.
| Data | Blue springs | Newton |
|---|---|---|
| Population | 59,518 | 18,392 |
| Median Age | 36.6 years | 40.1 years |
| Median Income | $82,965 | $66,528 |
| Married Families | 42.0% | 40.0% |
| Poverty Level | 9% | 9% |
| Unemployment Rate | 3.7 | 3.4 |
Population Comparison: Blue springs vs Newton
- In Blue springs, the population is higher at 59,518, compared to 18,392 in Newton.
- The median age in Newton is higher at 40.1 years, compared to 36.6 years in Blue springs.
- Blue springs has a higher median income of $82,965 compared to $66,528 in Newton.
- A higher percentage of married families is found in Blue springs at 42.0% compared to 40.0% in Newton.
- The poverty level is identical in both Blue springs and Newton at 9%.
- The unemployment rate in Blue springs is higher at 3.7%, compared to 3.4% in Newton.
Demographics
Demographics Blue springs vs Newton provide insight into the diversity of the communities to compare.
| Demographic | Blue springs | Newton |
|---|---|---|
| Black | 7 | 2 |
| White | 79 | 66 |
| Asian | 1 | Data is updating |
| Hispanic | 7 | 20 |
| Two or More Races | 6 | 11 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Blue springs vs Newton
- A higher percentage of Black residents are in Blue springs at 7% compared to 2% in Newton.
- Blue springs has a higher percentage of White residents at 79% compared to 66% in Newton.
- The Asian population is larger in Blue springs at 1% compared to 0% in Newton.
- Newton has a higher percentage of Hispanic residents at 20%, compared to 7% in Blue springs.
- The percentage of residents identifying as two or more races is higher in Newton at 11%, compared to 6% in Blue springs.
- In Newton, the percentage of American Indian residents is higher at 1%, compared to 0% in Blue springs.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Blue springs | Newton |
|---|---|---|
| Mental Health Not Good | 17.3% | 15.5% |
| Physical Health Not Good | 10.4% | 9.9% |
| Depression | 22.8% | 21.3% |
| Smoking | 15.6% | 16.1% |
| Binge Drinking | 21.5% | 17.3% |
| Obesity | 34.7% | 40.1% |
| Disability Percentage | 10.0% | 13.0% |
Health Statistics Comparison: Blue springs vs Newton
- More residents in Blue springs report poor mental health at 17.3% compared to 15.5% in Newton.
- Depression is more prevalent in Blue springs at 22.8% compared to 21.3% in Newton.
- Newton has a higher smoking rate at 16.1% compared to 15.6% in Blue springs.
- Binge drinking is more common in Blue springs at 21.5% compared to 17.3% in Newton.
- Newton has higher obesity rates at 40.1% compared to 34.7% in Blue springs.
- There is a higher percentage of disabled individuals in Newton at 13.0% 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 | Blue springs | Newton |
|---|---|---|
| No Schooling | 0.3% (178) | 0.5% (92) |
| High School Diploma | 16.5% (9,835) | 15.3% (2,807) |
| Less than High School | 4.9% (2,932) | 11.6% (2,127) |
| Bachelor's Degree and Higher | 21.8% (12,992) | 19.4% (3,576) |
Education Levels Comparison: Blue springs vs Newton
- In Newton, a larger percentage of residents lack formal schooling at 0.5% compared to 0.3% in Blue springs.
- A higher percentage of residents in Blue springs hold a high school diploma at 16.5% compared to 15.3% in Newton.
- The percentage of residents with less than a high school education is higher in Newton at 11.6%, compared to 4.9% in Blue springs.
- A higher percentage of residents in Blue springs hold a bachelor's degree or higher at 21.8% compared to 19.4% in Newton.
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.