Demographics details for Atoka, OK vs Prairie village, KS
Population Overview
Compare main population characteristics in Atoka, OK vs Prairie village, KS.
| Data | Atoka | Prairie village |
|---|---|---|
| Population | 3,200 | 22,947 |
| Median Age | 37.5 years | 40.0 years |
| Median Income | $40,362 | $99,691 |
| Married Families | 32.0% | 46.0% |
| Poverty Level | 20% | 5% |
| Unemployment Rate | 4.5 | 2.5 |
Population Comparison: Atoka vs Prairie village
- The population in Prairie village is higher at 22,947, compared to 3,200 in Atoka.
- The median age in Prairie village is higher at 40.0 years, compared to 37.5 years in Atoka.
- Prairie village has a higher median income of $99,691, compared to $40,362 in Atoka.
- In Prairie village, the percentage of married families is higher at 46.0%, compared to 32.0% in Atoka.
- Atoka has a higher poverty level at 20% compared to 5% in Prairie village.
- The unemployment rate in Atoka is higher at 4.5%, compared to 2.5% in Prairie village.
Demographics
Demographics Atoka vs Prairie village provide insight into the diversity of the communities to compare.
| Demographic | Atoka | Prairie village |
|---|---|---|
| Black | 4 | 1 |
| White | 55 | 88 |
| Asian | 3 | 1 |
| Hispanic | 7 | 5 |
| Two or More Races | 17 | 5 |
| American Indian | 14 | Data is updating |
Demographics Comparison: Atoka vs Prairie village
- A higher percentage of Black residents are in Atoka at 4% compared to 1% in Prairie village.
- The percentage of White residents is higher in Prairie village at 88% compared to 55% in Atoka.
- The Asian population is larger in Atoka at 3% compared to 1% in Prairie village.
- The Hispanic community is larger in Atoka at 7% compared to 5% in Prairie village.
- More residents identify as two or more races in Atoka at 17% compared to 5% in Prairie village.
- A greater percentage of American Indian residents live in Atoka at 14% compared to 0% in Prairie village.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Atoka | Prairie village |
|---|---|---|
| Mental Health Not Good | 22.1% | 11.5% |
| Physical Health Not Good | 16.7% | 6.0% |
| Depression | 27.8% | 18.6% |
| Smoking | 27.8% | 7.8% |
| Binge Drinking | 12.8% | 20.8% |
| Obesity | 43.5% | 27.3% |
| Disability Percentage | 25.0% | 8.0% |
Health Statistics Comparison: Atoka vs Prairie village
- More residents in Atoka report poor mental health at 22.1% compared to 11.5% in Prairie village.
- Depression is more prevalent in Atoka at 27.8% compared to 18.6% in Prairie village.
- Smoking is more prevalent in Atoka at 27.8% compared to 7.8% in Prairie village.
- More residents engage in binge drinking in Prairie village at 20.8% compared to 12.8% in Atoka.
- Obesity rates are higher in Atoka at 43.5% compared to 27.3% in Prairie village.
- Disability percentages are higher in Atoka at 25.0% 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 | Atoka | Prairie village |
|---|---|---|
| No Schooling | 1.2% (39) | 0.2% (47) |
| High School Diploma | 19.5% (623) | 5.0% (1,136) |
| Less than High School | 24.2% (776) | 2.2% (515) |
| Bachelor's Degree and Higher | 9.1% (291) | 51.7% (11,869) |
Education Levels Comparison: Atoka vs Prairie village
- A higher percentage of residents in Atoka have no formal schooling at 1.2% compared to 0.2% in Prairie village.
- A higher percentage of residents in Atoka hold a high school diploma at 19.5% compared to 5.0% in Prairie village.
- More residents in Atoka have less than a high school education at 24.2% 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 9.1% in Atoka.
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.