Demographics details for La pryor, TX vs Ponca city, OK
Population Overview
Compare main population characteristics in La pryor, TX vs Ponca city, OK.
| Data | La pryor | Ponca city |
|---|---|---|
| Population | 1,090 | 24,340 |
| Median Age | 25.3 years | 37.0 years |
| Median Income | $37,250 | $51,367 |
| Married Families | 34.0% | 34.0% |
| Poverty Level | Data is updating | 18% |
| Unemployment Rate | 4.5 | 4.4 |
Population Comparison: La pryor vs Ponca city
- The population in Ponca city is higher at 24,340, compared to 1,090 in La pryor.
- The median age in Ponca city is higher at 37.0 years, compared to 25.3 years in La pryor.
- Ponca city has a higher median income of $51,367, compared to $37,250 in La pryor.
- The percentage of married families is the same in both La pryor and Ponca city at 34.0%.
- The poverty level is higher in Ponca city at 18%, compared to 0% in La pryor.
- The unemployment rate in La pryor is higher at 4.5%, compared to 4.4% in Ponca city.
Demographics
Demographics La pryor vs Ponca city provide insight into the diversity of the communities to compare.
| Demographic | La pryor | Ponca city |
|---|---|---|
| Black | 6 | 3 |
| White | 15 | 67 |
| Asian | Data is updating | 1 |
| Hispanic | 94 | 9 |
| Two or More Races | 41 | 12 |
| American Indian | 1 | 8 |
Demographics Comparison: La pryor vs Ponca city
- A higher percentage of Black residents are in La pryor at 6% compared to 3% in Ponca city.
- The percentage of White residents is higher in Ponca city at 67% compared to 15% in La pryor.
- In Ponca city, the Asian population stands at 1%, greater than 0% in La pryor.
- The Hispanic community is larger in La pryor at 94% compared to 9% in Ponca city.
- More residents identify as two or more races in La pryor at 41% compared to 12% in Ponca city.
- In Ponca city, the percentage of American Indian residents is higher at 8%, compared to 1% in La pryor.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | La pryor | Ponca city |
|---|---|---|
| Mental Health Not Good | 19.8% | 20.0% |
| Physical Health Not Good | 18.0% | 13.6% |
| Depression | 23.1% | 27.0% |
| Smoking | 20.6% | 22.1% |
| Binge Drinking | 14.5% | 14.8% |
| Obesity | 45.0% | 40.0% |
| Disability Percentage | 13.0% | 19.0% |
Health Statistics Comparison: La pryor vs Ponca city
- In Ponca city, a higher percentage report poor mental health at 20.0% compared to 19.8% in La pryor.
- Higher depression rates are seen in Ponca city at 27.0% versus 23.1% in La pryor.
- Ponca city has a higher smoking rate at 22.1% compared to 20.6% in La pryor.
- More residents engage in binge drinking in Ponca city at 14.8% compared to 14.5% in La pryor.
- Obesity rates are higher in La pryor at 45.0% compared to 40.0% in Ponca city.
- There is a higher percentage of disabled individuals in Ponca city at 19.0% compared to 13.0% in La pryor.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | La pryor | Ponca city |
|---|---|---|
| No Schooling | 3.0% (33) | 0.2% (51) |
| High School Diploma | 7.9% (86) | 17.0% (4,148) |
| Less than High School | 43.3% (472) | 12.0% (2,914) |
| Bachelor's Degree and Higher | 2.1% (23) | 12.6% (3,069) |
Education Levels Comparison: La pryor vs Ponca city
- A higher percentage of residents in La pryor have no formal schooling at 3.0% compared to 0.2% in Ponca city.
- In Ponca city, the rate of residents with high school diplomas is higher at 17.0% compared to 7.9% in La pryor.
- More residents in La pryor have less than a high school education at 43.3% 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 2.1% in La pryor.
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.