Demographics details for Wakita, OK vs Springville, NY
Population Overview
Compare main population characteristics in Wakita, OK vs Springville, NY.
| Data | Wakita | Springville |
|---|---|---|
| Population | 307 | 4,179 |
| Median Age | 35.5 years | 41.7 years |
| Median Income | $34,375 | $55,305 |
| Married Families | 32.0% | 40.0% |
| Poverty Level | 15% | 8% |
| Unemployment Rate | 3.5 | 4.5 |
Population Comparison: Wakita vs Springville
- The population in Springville is higher at 4,179, compared to 307 in Wakita.
- The median age in Springville is higher at 41.7 years, compared to 35.5 years in Wakita.
- Springville has a higher median income of $55,305, compared to $34,375 in Wakita.
- In Springville, the percentage of married families is higher at 40.0%, compared to 32.0% in Wakita.
- Wakita has a higher poverty level at 15% compared to 8% in Springville.
- Springville has a higher unemployment rate at 4.5% compared to 3.5% in Wakita.
Demographics
Demographics Wakita vs Springville provide insight into the diversity of the communities to compare.
| Demographic | Wakita | Springville |
|---|---|---|
| Black | Data is updating | 1 |
| White | 74 | 97 |
| Asian | Data is updating | Data is updating |
| Hispanic | 20 | 1 |
| Two or More Races | 4 | 1 |
| American Indian | 2 | Data is updating |
Demographics Comparison: Wakita vs Springville
- In Springville, the percentage of Black residents is higher at 1% compared to 0% in Wakita.
- The percentage of White residents is higher in Springville at 97% compared to 74% in Wakita.
- Both Wakita and Springville have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Wakita at 20% compared to 1% in Springville.
- More residents identify as two or more races in Wakita at 4% compared to 1% in Springville.
- A greater percentage of American Indian residents live in Wakita at 2% compared to 0% in Springville.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Wakita | Springville |
|---|---|---|
| Mental Health Not Good | 17.8% | 17.6% |
| Physical Health Not Good | 11.4% | 11.3% |
| Depression | 25.5% | 27.0% |
| Smoking | 17.8% | 20.3% |
| Binge Drinking | 15.8% | 21.0% |
| Obesity | 39.1% | 35.1% |
| Disability Percentage | 19.0% | 24.0% |
Health Statistics Comparison: Wakita vs Springville
- More residents in Wakita report poor mental health at 17.8% compared to 17.6% in Springville.
- Higher depression rates are seen in Springville at 27.0% versus 25.5% in Wakita.
- Springville has a higher smoking rate at 20.3% compared to 17.8% in Wakita.
- More residents engage in binge drinking in Springville at 21.0% compared to 15.8% in Wakita.
- Obesity rates are higher in Wakita at 39.1% compared to 35.1% in Springville.
- There is a higher percentage of disabled individuals in Springville at 24.0% 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 | Springville |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.8% (35) |
| High School Diploma | 25.1% (77) | 25.8% (1,079) |
| Less than High School | 10.4% (32) | 11.4% (476) |
| Bachelor's Degree and Higher | 11.4% (35) | 16.8% (701) |
Education Levels Comparison: Wakita vs Springville
- In Springville, a larger percentage of residents lack formal schooling at 0.8% compared to 0.0% in Wakita.
- In Springville, the rate of residents with high school diplomas is higher at 25.8% compared to 25.1% in Wakita.
- The percentage of residents with less than a high school education is higher in Springville at 11.4%, compared to 10.4% in Wakita.
- In Springville, a larger share of residents have a bachelor's degree or higher at 16.8% 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.