Demographics details for Wakita, OK vs Tylertown, MS
Population Overview
Compare main population characteristics in Wakita, OK vs Tylertown, MS.
| Data | Wakita | Tylertown |
|---|---|---|
| Population | 307 | 1,467 |
| Median Age | 35.5 years | 33.9 years |
| Median Income | $34,375 | $32,019 |
| Married Families | 32.0% | 40.0% |
| Poverty Level | 15% | 20% |
| Unemployment Rate | 3.5 | 5.2 |
Population Comparison: Wakita vs Tylertown
- The population in Tylertown is higher at 1,467, compared to 307 in Wakita.
- Residents in Wakita have a higher median age of 35.5 years compared to 33.9 years in Tylertown.
- Wakita has a higher median income of $34,375 compared to $32,019 in Tylertown.
- In Tylertown, the percentage of married families is higher at 40.0%, compared to 32.0% in Wakita.
- The poverty level is higher in Tylertown at 20%, compared to 15% in Wakita.
- Tylertown has a higher unemployment rate at 5.2% compared to 3.5% in Wakita.
Demographics
Demographics Wakita vs Tylertown provide insight into the diversity of the communities to compare.
| Demographic | Wakita | Tylertown |
|---|---|---|
| Black | Data is updating | 50 |
| White | 74 | 27 |
| Asian | Data is updating | 2 |
| Hispanic | 20 | 17 |
| Two or More Races | 4 | 4 |
| American Indian | 2 | Data is updating |
Demographics Comparison: Wakita vs Tylertown
- In Tylertown, the percentage of Black residents is higher at 50% compared to 0% in Wakita.
- Wakita has a higher percentage of White residents at 74% compared to 27% in Tylertown.
- In Tylertown, the Asian population stands at 2%, greater than 0% in Wakita.
- The Hispanic community is larger in Wakita at 20% compared to 17% in Tylertown.
- Both Wakita and Tylertown have the same percentage of residents identifying as two or more races at 4%.
- A greater percentage of American Indian residents live in Wakita at 2% compared to 0% in Tylertown.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Wakita | Tylertown |
|---|---|---|
| Mental Health Not Good | 17.8% | 18.3% |
| Physical Health Not Good | 11.4% | 14.2% |
| Depression | 25.5% | 22.0% |
| Smoking | 17.8% | 23.1% |
| Binge Drinking | 15.8% | 12.7% |
| Obesity | 39.1% | 44.0% |
| Disability Percentage | 19.0% | 32.0% |
Health Statistics Comparison: Wakita vs Tylertown
- In Tylertown, a higher percentage report poor mental health at 18.3% compared to 17.8% in Wakita.
- Depression is more prevalent in Wakita at 25.5% compared to 22.0% in Tylertown.
- Tylertown has a higher smoking rate at 23.1% compared to 17.8% in Wakita.
- Binge drinking is more common in Wakita at 15.8% compared to 12.7% in Tylertown.
- Tylertown has higher obesity rates at 44.0% compared to 39.1% in Wakita.
- There is a higher percentage of disabled individuals in Tylertown at 32.0% compared to 19.0% in Wakita.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Wakita | Tylertown |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 9.7% (142) |
| High School Diploma | 25.1% (77) | 20.2% (296) |
| Less than High School | 10.4% (32) | 27.8% (408) |
| Bachelor's Degree and Higher | 11.4% (35) | 21.0% (308) |
Education Levels Comparison: Wakita vs Tylertown
- In Tylertown, a larger percentage of residents lack formal schooling at 9.7% compared to 0.0% in Wakita.
- A higher percentage of residents in Wakita hold a high school diploma at 25.1% compared to 20.2% in Tylertown.
- The percentage of residents with less than a high school education is higher in Tylertown at 27.8%, compared to 10.4% in Wakita.
- In Tylertown, a larger share of residents have a bachelor's degree or higher at 21.0% compared to 11.4% in Wakita.
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.