Demographics details for Lanett, AL vs Ponca city, OK
Population Overview
Compare main population characteristics in Lanett, AL vs Ponca city, OK.
| Data | Lanett | Ponca city |
|---|---|---|
| Population | 6,759 | 24,340 |
| Median Age | 39.9 years | 37.0 years |
| Median Income | $48,125 | $51,367 |
| Married Families | 24.0% | 34.0% |
| Poverty Level | Data is updating | 18% |
| Unemployment Rate | 3.2 | 4.4 |
Population Comparison: Lanett vs Ponca city
- The population in Ponca city is higher at 24,340, compared to 6,759 in Lanett.
- Residents in Lanett have a higher median age of 39.9 years compared to 37.0 years in Ponca city.
- Ponca city has a higher median income of $51,367, compared to $48,125 in Lanett.
- In Ponca city, the percentage of married families is higher at 34.0%, compared to 24.0% in Lanett.
- The poverty level is higher in Ponca city at 18%, compared to 0% in Lanett.
- Ponca city has a higher unemployment rate at 4.4% compared to 3.2% in Lanett.
Demographics
Demographics Lanett vs Ponca city provide insight into the diversity of the communities to compare.
| Demographic | Lanett | Ponca city |
|---|---|---|
| Black | 73 | 3 |
| White | 16 | 67 |
| Asian | Data is updating | 1 |
| Hispanic | 8 | 9 |
| Two or More Races | 3 | 12 |
| American Indian | Data is updating | 8 |
Demographics Comparison: Lanett vs Ponca city
- A higher percentage of Black residents are in Lanett at 73% compared to 3% in Ponca city.
- The percentage of White residents is higher in Ponca city at 67% compared to 16% in Lanett.
- In Ponca city, the Asian population stands at 1%, greater than 0% in Lanett.
- Ponca city has a higher percentage of Hispanic residents at 9%, compared to 8% in Lanett.
- The percentage of residents identifying as two or more races is higher in Ponca city at 12%, compared to 3% in Lanett.
- In Ponca city, the percentage of American Indian residents is higher at 8%, compared to 0% in Lanett.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Lanett | Ponca city |
|---|---|---|
| Mental Health Not Good | 20.0% | 20.0% |
| Physical Health Not Good | 14.6% | 13.6% |
| Depression | 22.1% | 27.0% |
| Smoking | 21.6% | 22.1% |
| Binge Drinking | 12.7% | 14.8% |
| Obesity | 46.5% | 40.0% |
| Disability Percentage | 22.0% | 19.0% |
Health Statistics Comparison: Lanett vs Ponca city
- Poor mental health levels are equal in both Lanett and Ponca city at 20.0%.
- Higher depression rates are seen in Ponca city at 27.0% versus 22.1% in Lanett.
- Ponca city has a higher smoking rate at 22.1% compared to 21.6% in Lanett.
- More residents engage in binge drinking in Ponca city at 14.8% compared to 12.7% in Lanett.
- Obesity rates are higher in Lanett at 46.5% compared to 40.0% in Ponca city.
- Disability percentages are higher in Lanett at 22.0% compared to 19.0% in Ponca city.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Lanett | Ponca city |
|---|---|---|
| No Schooling | 1.3% (90) | 0.2% (51) |
| High School Diploma | 18.9% (1,277) | 17.0% (4,148) |
| Less than High School | 20.3% (1,369) | 12.0% (2,914) |
| Bachelor's Degree and Higher | 7.4% (498) | 12.6% (3,069) |
Education Levels Comparison: Lanett vs Ponca city
- A higher percentage of residents in Lanett have no formal schooling at 1.3% compared to 0.2% in Ponca city.
- A higher percentage of residents in Lanett hold a high school diploma at 18.9% compared to 17.0% in Ponca city.
- More residents in Lanett have less than a high school education at 20.3% 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 7.4% in Lanett.
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.