Demographics details for Forest city, NC vs Milford, UT
Population Overview
Compare main population characteristics in Forest city, NC vs Milford, UT.
| Data | Forest city | Milford |
|---|---|---|
| Population | 7,358 | 1,454 |
| Median Age | 32.8 years | 24.8 years |
| Median Income | $35,232 | $83,783 |
| Married Families | 21.0% | 50.0% |
| Poverty Level | 11% | 10% |
| Unemployment Rate | 4.5 | 3.2 |
Population Comparison: Forest city vs Milford
- In Forest city, the population is higher at 7,358, compared to 1,454 in Milford.
- Residents in Forest city have a higher median age of 32.8 years compared to 24.8 years in Milford.
- Milford has a higher median income of $83,783, compared to $35,232 in Forest city.
- In Milford, the percentage of married families is higher at 50.0%, compared to 21.0% in Forest city.
- Forest city has a higher poverty level at 11% compared to 10% in Milford.
- The unemployment rate in Forest city is higher at 4.5%, compared to 3.2% in Milford.
Demographics
Demographics Forest city vs Milford provide insight into the diversity of the communities to compare.
| Demographic | Forest city | Milford |
|---|---|---|
| Black | 28 | Data is updating |
| White | 57 | 74 |
| Asian | 2 | Data is updating |
| Hispanic | 8 | 19 |
| Two or More Races | 5 | 6 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Forest city vs Milford
- A higher percentage of Black residents are in Forest city at 28% compared to 0% in Milford.
- The percentage of White residents is higher in Milford at 74% compared to 57% in Forest city.
- The Asian population is larger in Forest city at 2% compared to 0% in Milford.
- Milford has a higher percentage of Hispanic residents at 19%, compared to 8% in Forest city.
- The percentage of residents identifying as two or more races is higher in Milford at 6%, compared to 5% in Forest city.
- In Milford, the percentage of American Indian residents is higher at 1%, compared to 0% in Forest city.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Forest city | Milford |
|---|---|---|
| Mental Health Not Good | 19.0% | 17.2% |
| Physical Health Not Good | 14.4% | 12.0% |
| Depression | 24.4% | 23.5% |
| Smoking | 22.1% | 12.4% |
| Binge Drinking | 15.2% | 13.2% |
| Obesity | 41.2% | 34.2% |
| Disability Percentage | 23.0% | 14.0% |
Health Statistics Comparison: Forest city vs Milford
- More residents in Forest city report poor mental health at 19.0% compared to 17.2% in Milford.
- Depression is more prevalent in Forest city at 24.4% compared to 23.5% in Milford.
- Smoking is more prevalent in Forest city at 22.1% compared to 12.4% in Milford.
- Binge drinking is more common in Forest city at 15.2% compared to 13.2% in Milford.
- Obesity rates are higher in Forest city at 41.2% compared to 34.2% in Milford.
- Disability percentages are higher in Forest city at 23.0% compared to 14.0% in Milford.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Forest city | Milford |
|---|---|---|
| No Schooling | 0.9% (63) | 0.3% (5) |
| High School Diploma | 15.5% (1,140) | 14.7% (214) |
| Less than High School | 13.0% (956) | 3.1% (45) |
| Bachelor's Degree and Higher | 10.7% (785) | 16.8% (244) |
Education Levels Comparison: Forest city vs Milford
- A higher percentage of residents in Forest city have no formal schooling at 0.9% compared to 0.3% in Milford.
- A higher percentage of residents in Forest city hold a high school diploma at 15.5% compared to 14.7% in Milford.
- More residents in Forest city have less than a high school education at 13.0% compared to 3.1% in Milford.
- In Milford, a larger share of residents have a bachelor's degree or higher at 16.8% 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.