Demographics details for Ponca city, OK vs Mount juliet, TN
Population Overview
Compare main population characteristics in Ponca city, OK vs Mount juliet, TN.
| Data | Ponca city | Mount juliet |
|---|---|---|
| Population | 24,340 | 42,548 |
| Median Age | 37.0 years | 39.2 years |
| Median Income | $51,367 | $108,066 |
| Married Families | 34.0% | 45.0% |
| Poverty Level | 18% | 5% |
| Unemployment Rate | 4.4 | 2.8 |
Population Comparison: Ponca city vs Mount juliet
- The population in Mount juliet is higher at 42,548, compared to 24,340 in Ponca city.
- The median age in Mount juliet is higher at 39.2 years, compared to 37.0 years in Ponca city.
- Mount juliet has a higher median income of $108,066, compared to $51,367 in Ponca city.
- In Mount juliet, the percentage of married families is higher at 45.0%, compared to 34.0% in Ponca city.
- Ponca city has a higher poverty level at 18% compared to 5% in Mount juliet.
- The unemployment rate in Ponca city is higher at 4.4%, compared to 2.8% in Mount juliet.
Demographics
Demographics Ponca city vs Mount juliet provide insight into the diversity of the communities to compare.
| Demographic | Ponca city | Mount juliet |
|---|---|---|
| Black | 3 | 7 |
| White | 67 | 79 |
| Asian | 1 | 4 |
| Hispanic | 9 | 6 |
| Two or More Races | 12 | 4 |
| American Indian | 8 | Data is updating |
Demographics Comparison: Ponca city vs Mount juliet
- In Mount juliet, the percentage of Black residents is higher at 7% compared to 3% in Ponca city.
- The percentage of White residents is higher in Mount juliet at 79% compared to 67% in Ponca city.
- In Mount juliet, the Asian population stands at 4%, greater than 1% in Ponca city.
- The Hispanic community is larger in Ponca city at 9% compared to 6% in Mount juliet.
- More residents identify as two or more races in Ponca city at 12% compared to 4% in Mount juliet.
- A greater percentage of American Indian residents live in Ponca city at 8% compared to 0% in Mount juliet.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Ponca city | Mount juliet |
|---|---|---|
| Mental Health Not Good | 20.0% | 16.0% |
| Physical Health Not Good | 13.6% | 10.0% |
| Depression | 27.0% | 25.7% |
| Smoking | 22.1% | 15.2% |
| Binge Drinking | 14.8% | 16.8% |
| Obesity | 40.0% | 29.9% |
| Disability Percentage | 19.0% | 7.0% |
Health Statistics Comparison: Ponca city vs Mount juliet
- More residents in Ponca city report poor mental health at 20.0% compared to 16.0% in Mount juliet.
- Depression is more prevalent in Ponca city at 27.0% compared to 25.7% in Mount juliet.
- Smoking is more prevalent in Ponca city at 22.1% compared to 15.2% in Mount juliet.
- More residents engage in binge drinking in Mount juliet at 16.8% compared to 14.8% in Ponca city.
- Obesity rates are higher in Ponca city at 40.0% compared to 29.9% in Mount juliet.
- Disability percentages are higher in Ponca city at 19.0% compared to 7.0% in Mount juliet.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Ponca city | Mount juliet |
|---|---|---|
| No Schooling | 0.2% (51) | 0.4% (173) |
| High School Diploma | 17.0% (4,148) | 10.4% (4,408) |
| Less than High School | 12.0% (2,914) | 3.9% (1,653) |
| Bachelor's Degree and Higher | 12.6% (3,069) | 29.4% (12,510) |
Education Levels Comparison: Ponca city vs Mount juliet
- In Mount juliet, a larger percentage of residents lack formal schooling at 0.4% compared to 0.2% in Ponca city.
- A higher percentage of residents in Ponca city hold a high school diploma at 17.0% compared to 10.4% in Mount juliet.
- More residents in Ponca city have less than a high school education at 12.0% compared to 3.9% in Mount juliet.
- In Mount juliet, a larger share of residents have a bachelor's degree or higher at 29.4% compared to 12.6% in Ponca city.
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.