Demographics details for Erwin, TN vs Oklahoma city, OK
Population Overview
Compare main population characteristics in Erwin, TN vs Oklahoma city, OK.
| Data | Erwin | Oklahoma city |
|---|---|---|
| Population | 5,953 | 694,800 |
| Median Age | 46.8 years | 34.9 years |
| Median Income | $40,670 | $64,251 |
| Married Families | 48.0% | 36.0% |
| Poverty Level | 12% | 13% |
| Unemployment Rate | 4.5 | 3.5 |
Population Comparison: Erwin vs Oklahoma city
- The population in Oklahoma city is higher at 694,800, compared to 5,953 in Erwin.
- Residents in Erwin have a higher median age of 46.8 years compared to 34.9 years in Oklahoma city.
- Oklahoma city has a higher median income of $64,251, compared to $40,670 in Erwin.
- A higher percentage of married families is found in Erwin at 48.0% compared to 36.0% in Oklahoma city.
- The poverty level is higher in Oklahoma city at 13%, compared to 12% in Erwin.
- The unemployment rate in Erwin is higher at 4.5%, compared to 3.5% in Oklahoma city.
Demographics
Demographics Erwin vs Oklahoma city provide insight into the diversity of the communities to compare.
| Demographic | Erwin | Oklahoma city |
|---|---|---|
| Black | Data is updating | 13 |
| White | 87 | 48 |
| Asian | Data is updating | 4 |
| Hispanic | 8 | 20 |
| Two or More Races | 5 | 12 |
| American Indian | Data is updating | 3 |
Demographics Comparison: Erwin vs Oklahoma city
- In Oklahoma city, the percentage of Black residents is higher at 13% compared to 0% in Erwin.
- Erwin has a higher percentage of White residents at 87% compared to 48% in Oklahoma city.
- In Oklahoma city, the Asian population stands at 4%, greater than 0% in Erwin.
- Oklahoma city has a higher percentage of Hispanic residents at 20%, compared to 8% in Erwin.
- The percentage of residents identifying as two or more races is higher in Oklahoma city at 12%, compared to 5% in Erwin.
- In Oklahoma city, the percentage of American Indian residents is higher at 3%, compared to 0% in Erwin.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Erwin | Oklahoma city |
|---|---|---|
| Mental Health Not Good | 20.2% | 18.1% |
| Physical Health Not Good | 14.1% | 12.3% |
| Depression | 29.7% | 24.8% |
| Smoking | 23.6% | 18.2% |
| Binge Drinking | 15.9% | 13.1% |
| Obesity | 38.0% | 38.0% |
| Disability Percentage | 21.0% | 12.0% |
Health Statistics Comparison: Erwin vs Oklahoma city
- More residents in Erwin report poor mental health at 20.2% compared to 18.1% in Oklahoma city.
- Depression is more prevalent in Erwin at 29.7% compared to 24.8% in Oklahoma city.
- Smoking is more prevalent in Erwin at 23.6% compared to 18.2% in Oklahoma city.
- Binge drinking is more common in Erwin at 15.9% compared to 13.1% in Oklahoma city.
- Both cities have the same obesity rates at 38.0%.
- Disability percentages are higher in Erwin at 21.0% compared to 12.0% in Oklahoma city.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Erwin | Oklahoma city |
|---|---|---|
| No Schooling | 0.3% (15) | 1.3% (9,023) |
| High School Diploma | 20.2% (1,201) | 13.0% (90,670) |
| Less than High School | 19.7% (1,170) | 14.0% (97,428) |
| Bachelor's Degree and Higher | 11.7% (698) | 21.3% (148,128) |
Education Levels Comparison: Erwin vs Oklahoma city
- In Oklahoma city, a larger percentage of residents lack formal schooling at 1.3% compared to 0.3% in Erwin.
- A higher percentage of residents in Erwin hold a high school diploma at 20.2% compared to 13.0% in Oklahoma city.
- More residents in Erwin have less than a high school education at 19.7% compared to 14.0% in Oklahoma city.
- In Oklahoma city, a larger share of residents have a bachelor's degree or higher at 21.3% compared to 11.7% in Erwin.
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.