Demographics details for Orange, CA vs Forest city, NC
Population Overview
Compare main population characteristics in Orange, CA vs Forest city, NC.
| Data | Orange | Forest city |
|---|---|---|
| Population | 136,178 | 7,358 |
| Median Age | 36.5 years | 32.8 years |
| Median Income | $109,335 | $35,232 |
| Married Families | 40.0% | 21.0% |
| Poverty Level | 9% | 11% |
| Unemployment Rate | 4.1 | 4.5 |
Population Comparison: Orange vs Forest city
- In Orange, the population is higher at 136,178, compared to 7,358 in Forest city.
- Residents in Orange have a higher median age of 36.5 years compared to 32.8 years in Forest city.
- Orange has a higher median income of $109,335 compared to $35,232 in Forest city.
- A higher percentage of married families is found in Orange at 40.0% compared to 21.0% in Forest city.
- The poverty level is higher in Forest city at 11%, compared to 9% in Orange.
- Forest city has a higher unemployment rate at 4.5% compared to 4.1% in Orange.
Demographics
Demographics Orange vs Forest city provide insight into the diversity of the communities to compare.
| Demographic | Orange | Forest city |
|---|---|---|
| Black | 2 | 28 |
| White | 29 | 57 |
| Asian | 14 | 2 |
| Hispanic | 40 | 8 |
| Two or More Races | 14 | 5 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Orange vs Forest city
- In Forest city, the percentage of Black residents is higher at 28% compared to 2% in Orange.
- The percentage of White residents is higher in Forest city at 57% compared to 29% in Orange.
- The Asian population is larger in Orange at 14% compared to 2% in Forest city.
- The Hispanic community is larger in Orange at 40% compared to 8% in Forest city.
- More residents identify as two or more races in Orange at 14% compared to 5% in Forest city.
- A greater percentage of American Indian residents live in Orange at 1% compared to 0% in Forest city.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Orange | Forest city |
|---|---|---|
| Mental Health Not Good | 14.9% | 19.0% |
| Physical Health Not Good | 10.2% | 14.4% |
| Depression | 17.9% | 24.4% |
| Smoking | 10.5% | 22.1% |
| Binge Drinking | 16.8% | 15.2% |
| Obesity | 27.1% | 41.2% |
| Disability Percentage | 8.0% | 23.0% |
Health Statistics Comparison: Orange vs Forest city
- In Forest city, a higher percentage report poor mental health at 19.0% compared to 14.9% in Orange.
- Higher depression rates are seen in Forest city at 24.4% versus 17.9% in Orange.
- Forest city has a higher smoking rate at 22.1% compared to 10.5% in Orange.
- Binge drinking is more common in Orange at 16.8% compared to 15.2% in Forest city.
- Forest city has higher obesity rates at 41.2% compared to 27.1% in Orange.
- There is a higher percentage of disabled individuals in Forest city at 23.0% compared to 8.0% in Orange.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Orange | Forest city |
|---|---|---|
| No Schooling | 1.8% (2,483) | 0.9% (63) |
| High School Diploma | 11.0% (14,986) | 15.5% (1,140) |
| Less than High School | 15.5% (21,174) | 13.0% (956) |
| Bachelor's Degree and Higher | 28.2% (38,372) | 10.7% (785) |
Education Levels Comparison: Orange vs Forest city
- A higher percentage of residents in Orange have no formal schooling at 1.8% compared to 0.9% in Forest city.
- In Forest city, the rate of residents with high school diplomas is higher at 15.5% compared to 11.0% in Orange.
- More residents in Orange have less than a high school education at 15.5% compared to 13.0% in Forest city.
- A higher percentage of residents in Orange hold a bachelor's degree or higher at 28.2% 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.