Demographics details for Forest city, NC vs Chandler, OK
Population Overview
Compare main population characteristics in Forest city, NC vs Chandler, OK.
| Data | Forest city | Chandler |
|---|---|---|
| Population | 7,358 | 2,895 |
| Median Age | 32.8 years | 40.5 years |
| Median Income | $35,232 | $48,168 |
| Married Families | 21.0% | 38.0% |
| Poverty Level | 11% | 13% |
| Unemployment Rate | 4.5 | 3.5 |
Population Comparison: Forest city vs Chandler
- In Forest city, the population is higher at 7,358, compared to 2,895 in Chandler.
- The median age in Chandler is higher at 40.5 years, compared to 32.8 years in Forest city.
- Chandler has a higher median income of $48,168, compared to $35,232 in Forest city.
- In Chandler, the percentage of married families is higher at 38.0%, compared to 21.0% in Forest city.
- The poverty level is higher in Chandler at 13%, compared to 11% in Forest city.
- The unemployment rate in Forest city is higher at 4.5%, compared to 3.5% in Chandler.
Demographics
Demographics Forest city vs Chandler provide insight into the diversity of the communities to compare.
| Demographic | Forest city | Chandler |
|---|---|---|
| Black | 28 | 9 |
| White | 57 | 72 |
| Asian | 2 | 2 |
| Hispanic | 8 | 1 |
| Two or More Races | 5 | 13 |
| American Indian | Data is updating | 3 |
Demographics Comparison: Forest city vs Chandler
- A higher percentage of Black residents are in Forest city at 28% compared to 9% in Chandler.
- The percentage of White residents is higher in Chandler at 72% compared to 57% in Forest city.
- Both Forest city and Chandler have the same percentage of Asian residents at 2%.
- The Hispanic community is larger in Forest city at 8% compared to 1% in Chandler.
- The percentage of residents identifying as two or more races is higher in Chandler at 13%, compared to 5% in Forest city.
- In Chandler, the percentage of American Indian residents is higher at 3%, compared to 0% in Forest city.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Forest city | Chandler |
|---|---|---|
| Mental Health Not Good | 19.0% | 18.4% |
| Physical Health Not Good | 14.4% | 12.7% |
| Depression | 24.4% | 24.6% |
| Smoking | 22.1% | 20.3% |
| Binge Drinking | 15.2% | 14.6% |
| Obesity | 41.2% | 41.1% |
| Disability Percentage | 23.0% | 18.0% |
Health Statistics Comparison: Forest city vs Chandler
- More residents in Forest city report poor mental health at 19.0% compared to 18.4% in Chandler.
- Higher depression rates are seen in Chandler at 24.6% versus 24.4% in Forest city.
- Smoking is more prevalent in Forest city at 22.1% compared to 20.3% in Chandler.
- Binge drinking is more common in Forest city at 15.2% compared to 14.6% in Chandler.
- Obesity rates are higher in Forest city at 41.2% compared to 41.1% in Chandler.
- Disability percentages are higher in Forest city at 23.0% compared to 18.0% in Chandler.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Forest city | Chandler |
|---|---|---|
| No Schooling | 0.9% (63) | 0.0% (Data is updating) |
| High School Diploma | 15.5% (1,140) | 23.9% (691) |
| Less than High School | 13.0% (956) | 12.8% (372) |
| Bachelor's Degree and Higher | 10.7% (785) | 16.2% (469) |
Education Levels Comparison: Forest city vs Chandler
- A higher percentage of residents in Forest city have no formal schooling at 0.9% compared to 0.0% in Chandler.
- In Chandler, the rate of residents with high school diplomas is higher at 23.9% compared to 15.5% in Forest city.
- More residents in Forest city have less than a high school education at 13.0% compared to 12.8% in Chandler.
- In Chandler, a larger share of residents have a bachelor's degree or higher at 16.2% compared to 10.7% in Forest 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.