Demographics details for Forest city, NC vs Dixon, CA
Population Overview
Compare main population characteristics in Forest city, NC vs Dixon, CA.
| Data | Forest city | Dixon |
|---|---|---|
| Population | 7,358 | 19,143 |
| Median Age | 32.8 years | 33.5 years |
| Median Income | $35,232 | $92,138 |
| Married Families | 21.0% | 38.0% |
| Poverty Level | 11% | 10% |
| Unemployment Rate | 4.5 | 5.2 |
Population Comparison: Forest city vs Dixon
- The population in Dixon is higher at 19,143, compared to 7,358 in Forest city.
- The median age in Dixon is higher at 33.5 years, compared to 32.8 years in Forest city.
- Dixon has a higher median income of $92,138, compared to $35,232 in Forest city.
- In Dixon, the percentage of married families is higher at 38.0%, compared to 21.0% in Forest city.
- Forest city has a higher poverty level at 11% compared to 10% in Dixon.
- Dixon has a higher unemployment rate at 5.2% compared to 4.5% in Forest city.
Demographics
Demographics Forest city vs Dixon provide insight into the diversity of the communities to compare.
| Demographic | Forest city | Dixon |
|---|---|---|
| Black | 28 | 2 |
| White | 57 | 40 |
| Asian | 2 | 3 |
| Hispanic | 8 | 41 |
| Two or More Races | 5 | 14 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Forest city vs Dixon
- A higher percentage of Black residents are in Forest city at 28% compared to 2% in Dixon.
- Forest city has a higher percentage of White residents at 57% compared to 40% in Dixon.
- In Dixon, the Asian population stands at 3%, greater than 2% in Forest city.
- Dixon has a higher percentage of Hispanic residents at 41%, compared to 8% in Forest city.
- The percentage of residents identifying as two or more races is higher in Dixon at 14%, compared to 5% in Forest city.
- The percentage of American Indian residents is the same in both Forest city and Dixon at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Forest city | Dixon |
|---|---|---|
| Mental Health Not Good | 19.0% | 16.7% |
| Physical Health Not Good | 14.4% | 11.7% |
| Depression | 24.4% | 19.8% |
| Smoking | 22.1% | 12.9% |
| Binge Drinking | 15.2% | 17.2% |
| Obesity | 41.2% | 31.6% |
| Disability Percentage | 23.0% | 11.0% |
Health Statistics Comparison: Forest city vs Dixon
- More residents in Forest city report poor mental health at 19.0% compared to 16.7% in Dixon.
- Depression is more prevalent in Forest city at 24.4% compared to 19.8% in Dixon.
- Smoking is more prevalent in Forest city at 22.1% compared to 12.9% in Dixon.
- More residents engage in binge drinking in Dixon at 17.2% compared to 15.2% in Forest city.
- Obesity rates are higher in Forest city at 41.2% compared to 31.6% in Dixon.
- Disability percentages are higher in Forest city at 23.0% compared to 11.0% in Dixon.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Forest city | Dixon |
|---|---|---|
| No Schooling | 0.9% (63) | 2.0% (380) |
| High School Diploma | 15.5% (1,140) | 15.7% (3,013) |
| Less than High School | 13.0% (956) | 18.1% (3,473) |
| Bachelor's Degree and Higher | 10.7% (785) | 14.1% (2,695) |
Education Levels Comparison: Forest city vs Dixon
- In Dixon, a larger percentage of residents lack formal schooling at 2.0% compared to 0.9% in Forest city.
- In Dixon, the rate of residents with high school diplomas is higher at 15.7% compared to 15.5% in Forest city.
- The percentage of residents with less than a high school education is higher in Dixon at 18.1%, compared to 13.0% in Forest city.
- In Dixon, a larger share of residents have a bachelor's degree or higher at 14.1% 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.