Demographics details for Mitchell, IN vs Prairie village, KS
Population Overview
Compare main population characteristics in Mitchell, IN vs Prairie village, KS.
Data | Mitchell | Prairie village |
---|---|---|
Population | 3,940 | 22,947 |
Median Age | 35.5 years | 40.0 years |
Median Income | $51,025 | $99,691 |
Married Families | 32.0% | 46.0% |
Poverty Level | 10% | 5% |
Unemployment Rate | 3.5 | 2.5 |
Population Comparison: Mitchell vs Prairie village
- The population in Prairie village is higher at 22,947, compared to 3,940 in Mitchell.
- The median age in Prairie village is higher at 40.0 years, compared to 35.5 years in Mitchell.
- Prairie village has a higher median income of $99,691, compared to $51,025 in Mitchell.
- In Prairie village, the percentage of married families is higher at 46.0%, compared to 32.0% in Mitchell.
- Mitchell has a higher poverty level at 10% compared to 5% in Prairie village.
- The unemployment rate in Mitchell is higher at 3.5%, compared to 2.5% in Prairie village.
Demographics
Demographics Mitchell vs Prairie village provide insight into the diversity of the communities to compare.
Demographic | Mitchell | Prairie village |
---|---|---|
Black | 1 | 1 |
White | 92 | 88 |
Asian | 4 | 1 |
Hispanic | 1 | 5 |
Two or More Races | 2 | 5 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Mitchell vs Prairie village
- The percentage of Black residents is the same in both Mitchell and Prairie village at 1%.
- Mitchell has a higher percentage of White residents at 92% compared to 88% in Prairie village.
- The Asian population is larger in Mitchell at 4% compared to 1% in Prairie village.
- Prairie village has a higher percentage of Hispanic residents at 5%, compared to 1% in Mitchell.
- The percentage of residents identifying as two or more races is higher in Prairie village at 5%, compared to 2% in Mitchell.
- The percentage of American Indian residents is the same in both Mitchell and Prairie village at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Mitchell | Prairie village |
---|---|---|
Mental Health Not Good | 19.4% | 11.5% |
Physical Health Not Good | 13.7% | 6.0% |
Depression | 28.5% | 18.6% |
Smoking | 24.3% | 7.8% |
Binge Drinking | 15.9% | 20.8% |
Obesity | 43.5% | 27.3% |
Disability Percentage | 21.0% | 8.0% |
Health Statistics Comparison: Mitchell vs Prairie village
- More residents in Mitchell report poor mental health at 19.4% compared to 11.5% in Prairie village.
- Depression is more prevalent in Mitchell at 28.5% compared to 18.6% in Prairie village.
- Smoking is more prevalent in Mitchell at 24.3% compared to 7.8% in Prairie village.
- More residents engage in binge drinking in Prairie village at 20.8% compared to 15.9% in Mitchell.
- Obesity rates are higher in Mitchell at 43.5% compared to 27.3% in Prairie village.
- Disability percentages are higher in Mitchell at 21.0% compared to 8.0% in Prairie village.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Mitchell | Prairie village |
---|---|---|
No Schooling | 1.6% (63) | 0.2% (47) |
High School Diploma | 20.4% (802) | 5.0% (1,136) |
Less than High School | 29.2% (1,152) | 2.2% (515) |
Bachelor's Degree and Higher | 9.8% (387) | 51.7% (11,869) |
Education Levels Comparison: Mitchell vs Prairie village
- A higher percentage of residents in Mitchell have no formal schooling at 1.6% compared to 0.2% in Prairie village.
- A higher percentage of residents in Mitchell hold a high school diploma at 20.4% compared to 5.0% in Prairie village.
- More residents in Mitchell have less than a high school education at 29.2% compared to 2.2% in Prairie village.
- In Prairie village, a larger share of residents have a bachelor's degree or higher at 51.7% compared to 9.8% in Mitchell.
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.