Demographics details for Prairie village, KS vs Panama, OK
Population Overview
Compare main population characteristics in Prairie village, KS vs Panama, OK.
| Data | Prairie village | Panama |
|---|---|---|
| Population | 22,947 | 1,284 |
| Median Age | 40.0 years | 32.4 years |
| Median Income | $99,691 | $44,397 |
| Married Families | 46.0% | 34.0% |
| Poverty Level | 5% | 12% |
| Unemployment Rate | 2.5 | 3.5 |
Population Comparison: Prairie village vs Panama
- In Prairie village, the population is higher at 22,947, compared to 1,284 in Panama.
- Residents in Prairie village have a higher median age of 40.0 years compared to 32.4 years in Panama.
- Prairie village has a higher median income of $99,691 compared to $44,397 in Panama.
- A higher percentage of married families is found in Prairie village at 46.0% compared to 34.0% in Panama.
- The poverty level is higher in Panama at 12%, compared to 5% in Prairie village.
- Panama has a higher unemployment rate at 3.5% compared to 2.5% in Prairie village.
Demographics
Demographics Prairie village vs Panama provide insight into the diversity of the communities to compare.
| Demographic | Prairie village | Panama |
|---|---|---|
| Black | 1 | Data is updating |
| White | 88 | 68 |
| Asian | 1 | 2 |
| Hispanic | 5 | 3 |
| Two or More Races | 5 | 19 |
| American Indian | Data is updating | 8 |
Demographics Comparison: Prairie village vs Panama
- A higher percentage of Black residents are in Prairie village at 1% compared to 0% in Panama.
- Prairie village has a higher percentage of White residents at 88% compared to 68% in Panama.
- In Panama, the Asian population stands at 2%, greater than 1% in Prairie village.
- The Hispanic community is larger in Prairie village at 5% compared to 3% in Panama.
- The percentage of residents identifying as two or more races is higher in Panama at 19%, compared to 5% in Prairie village.
- In Panama, the percentage of American Indian residents is higher at 8%, compared to 0% in Prairie village.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Prairie village | Panama |
|---|---|---|
| Mental Health Not Good | 11.5% | 21.1% |
| Physical Health Not Good | 6.0% | 15.3% |
| Depression | 18.6% | 27.3% |
| Smoking | 7.8% | 25.1% |
| Binge Drinking | 20.8% | 14.1% |
| Obesity | 27.3% | 42.5% |
| Disability Percentage | 8.0% | 22.0% |
Health Statistics Comparison: Prairie village vs Panama
- In Panama, a higher percentage report poor mental health at 21.1% compared to 11.5% in Prairie village.
- Higher depression rates are seen in Panama at 27.3% versus 18.6% in Prairie village.
- Panama has a higher smoking rate at 25.1% compared to 7.8% in Prairie village.
- Binge drinking is more common in Prairie village at 20.8% compared to 14.1% in Panama.
- Panama has higher obesity rates at 42.5% compared to 27.3% in Prairie village.
- There is a higher percentage of disabled individuals in Panama at 22.0% 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 | Prairie village | Panama |
|---|---|---|
| No Schooling | 0.2% (47) | 0.0% (Data is updating) |
| High School Diploma | 5.0% (1,136) | 29.5% (379) |
| Less than High School | 2.2% (515) | 13.6% (175) |
| Bachelor's Degree and Higher | 51.7% (11,869) | 4.4% (56) |
Education Levels Comparison: Prairie village vs Panama
- A higher percentage of residents in Prairie village have no formal schooling at 0.2% compared to 0.0% in Panama.
- In Panama, the rate of residents with high school diplomas is higher at 29.5% compared to 5.0% in Prairie village.
- The percentage of residents with less than a high school education is higher in Panama at 13.6%, compared to 2.2% in Prairie village.
- A higher percentage of residents in Prairie village hold a bachelor's degree or higher at 51.7% compared to 4.4% in Panama.
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.