Demographics details for Taylor, TX vs Ponca city, OK
Population Overview
Compare main population characteristics in Taylor, TX vs Ponca city, OK.
| Data | Taylor | Ponca city |
|---|---|---|
| Population | 16,975 | 24,340 |
| Median Age | 40.6 years | 37.0 years |
| Median Income | $66,626 | $51,367 |
| Married Families | 38.0% | 34.0% |
| Poverty Level | 10% | 18% |
| Unemployment Rate | 3.5 | 4.4 |
Population Comparison: Taylor vs Ponca city
- The population in Ponca city is higher at 24,340, compared to 16,975 in Taylor.
- Residents in Taylor have a higher median age of 40.6 years compared to 37.0 years in Ponca city.
- Taylor has a higher median income of $66,626 compared to $51,367 in Ponca city.
- A higher percentage of married families is found in Taylor at 38.0% compared to 34.0% in Ponca city.
- The poverty level is higher in Ponca city at 18%, compared to 10% in Taylor.
- Ponca city has a higher unemployment rate at 4.4% compared to 3.5% in Taylor.
Demographics
Demographics Taylor vs Ponca city provide insight into the diversity of the communities to compare.
| Demographic | Taylor | Ponca city |
|---|---|---|
| Black | 8 | 3 |
| White | 30 | 67 |
| Asian | 1 | 1 |
| Hispanic | 41 | 9 |
| Two or More Races | 19 | 12 |
| American Indian | 1 | 8 |
Demographics Comparison: Taylor vs Ponca city
- A higher percentage of Black residents are in Taylor at 8% compared to 3% in Ponca city.
- The percentage of White residents is higher in Ponca city at 67% compared to 30% in Taylor.
- Both Taylor and Ponca city have the same percentage of Asian residents at 1%.
- The Hispanic community is larger in Taylor at 41% compared to 9% in Ponca city.
- More residents identify as two or more races in Taylor at 19% compared to 12% in Ponca city.
- In Ponca city, the percentage of American Indian residents is higher at 8%, compared to 1% in Taylor.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Taylor | Ponca city |
|---|---|---|
| Mental Health Not Good | 17.9% | 20.0% |
| Physical Health Not Good | 12.4% | 13.6% |
| Depression | 25.4% | 27.0% |
| Smoking | 16.6% | 22.1% |
| Binge Drinking | 15.6% | 14.8% |
| Obesity | 38.0% | 40.0% |
| Disability Percentage | 17.0% | 19.0% |
Health Statistics Comparison: Taylor vs Ponca city
- In Ponca city, a higher percentage report poor mental health at 20.0% compared to 17.9% in Taylor.
- Higher depression rates are seen in Ponca city at 27.0% versus 25.4% in Taylor.
- Ponca city has a higher smoking rate at 22.1% compared to 16.6% in Taylor.
- Binge drinking is more common in Taylor at 15.6% compared to 14.8% in Ponca city.
- Ponca city has higher obesity rates at 40.0% compared to 38.0% in Taylor.
- There is a higher percentage of disabled individuals in Ponca city at 19.0% compared to 17.0% in Taylor.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Taylor | Ponca city |
|---|---|---|
| No Schooling | 0.8% (135) | 0.2% (51) |
| High School Diploma | 20.9% (3,551) | 17.0% (4,148) |
| Less than High School | 20.6% (3,497) | 12.0% (2,914) |
| Bachelor's Degree and Higher | 11.1% (1,886) | 12.6% (3,069) |
Education Levels Comparison: Taylor vs Ponca city
- A higher percentage of residents in Taylor have no formal schooling at 0.8% compared to 0.2% in Ponca city.
- A higher percentage of residents in Taylor hold a high school diploma at 20.9% compared to 17.0% in Ponca city.
- More residents in Taylor have less than a high school education at 20.6% compared to 12.0% in Ponca city.
- In Ponca city, a larger share of residents have a bachelor's degree or higher at 12.6% compared to 11.1% in Taylor.
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.