Demographics details for Forest city, NC vs Sugar grove, PA
Population Overview
Compare main population characteristics in Forest city, NC vs Sugar grove, PA.
Data | Forest city | Sugar grove |
---|---|---|
Population | 7,358 | 546 |
Median Age | 32.8 years | 42.2 years |
Median Income | $35,232 | $68,056 |
Married Families | 21.0% | 53.0% |
Poverty Level | 11% | 8% |
Unemployment Rate | 4.5 | 4.2 |
Population Comparison: Forest city vs Sugar grove
- In Forest city, the population is higher at 7,358, compared to 546 in Sugar grove.
- The median age in Sugar grove is higher at 42.2 years, compared to 32.8 years in Forest city.
- Sugar grove has a higher median income of $68,056, compared to $35,232 in Forest city.
- In Sugar grove, the percentage of married families is higher at 53.0%, compared to 21.0% in Forest city.
- Forest city has a higher poverty level at 11% compared to 8% in Sugar grove.
- The unemployment rate in Forest city is higher at 4.5%, compared to 4.2% in Sugar grove.
Demographics
Demographics Forest city vs Sugar grove provide insight into the diversity of the communities to compare.
Demographic | Forest city | Sugar grove |
---|---|---|
Black | 28 | 1 |
White | 57 | 79 |
Asian | 2 | Data is updating |
Hispanic | 8 | 6 |
Two or More Races | 5 | 14 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Forest city vs Sugar grove
- A higher percentage of Black residents are in Forest city at 28% compared to 1% in Sugar grove.
- The percentage of White residents is higher in Sugar grove at 79% compared to 57% in Forest city.
- The Asian population is larger in Forest city at 2% compared to 0% in Sugar grove.
- The Hispanic community is larger in Forest city at 8% compared to 6% in Sugar grove.
- The percentage of residents identifying as two or more races is higher in Sugar grove at 14%, compared to 5% in Forest city.
- The percentage of American Indian residents is the same in both Forest city and Sugar grove at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Forest city | Sugar grove |
---|---|---|
Mental Health Not Good | 19.0% | 18.3% |
Physical Health Not Good | 14.4% | 13.2% |
Depression | 24.4% | 23.5% |
Smoking | 22.1% | 22.8% |
Binge Drinking | 15.2% | 18.2% |
Obesity | 41.2% | 38.8% |
Disability Percentage | 23.0% | 10.0% |
Health Statistics Comparison: Forest city vs Sugar grove
- More residents in Forest city report poor mental health at 19.0% compared to 18.3% in Sugar grove.
- Depression is more prevalent in Forest city at 24.4% compared to 23.5% in Sugar grove.
- Sugar grove has a higher smoking rate at 22.8% compared to 22.1% in Forest city.
- More residents engage in binge drinking in Sugar grove at 18.2% compared to 15.2% in Forest city.
- Obesity rates are higher in Forest city at 41.2% compared to 38.8% in Sugar grove.
- Disability percentages are higher in Forest city at 23.0% compared to 10.0% in Sugar grove.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Forest city | Sugar grove |
---|---|---|
No Schooling | 0.9% (63) | 1.5% (8) |
High School Diploma | 15.5% (1,140) | 28.2% (154) |
Less than High School | 13.0% (956) | 6.2% (34) |
Bachelor's Degree and Higher | 10.7% (785) | 13.0% (71) |
Education Levels Comparison: Forest city vs Sugar grove
- In Sugar grove, a larger percentage of residents lack formal schooling at 1.5% compared to 0.9% in Forest city.
- In Sugar grove, the rate of residents with high school diplomas is higher at 28.2% compared to 15.5% in Forest city.
- More residents in Forest city have less than a high school education at 13.0% compared to 6.2% in Sugar grove.
- In Sugar grove, a larger share of residents have a bachelor's degree or higher at 13.0% 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.