Demographics details for Forest city, NC vs Woodbury, TN
Population Overview
Compare main population characteristics in Forest city, NC vs Woodbury, TN.
Data | Forest city | Woodbury |
---|---|---|
Population | 7,358 | 2,804 |
Median Age | 32.8 years | 35.1 years |
Median Income | $35,232 | $51,528 |
Married Families | 21.0% | 25.0% |
Poverty Level | 11% | 10% |
Unemployment Rate | 4.5 | 3.2 |
Population Comparison: Forest city vs Woodbury
- In Forest city, the population is higher at 7,358, compared to 2,804 in Woodbury.
- The median age in Woodbury is higher at 35.1 years, compared to 32.8 years in Forest city.
- Woodbury has a higher median income of $51,528, compared to $35,232 in Forest city.
- In Woodbury, the percentage of married families is higher at 25.0%, compared to 21.0% in Forest city.
- Forest city has a higher poverty level at 11% compared to 10% in Woodbury.
- The unemployment rate in Forest city is higher at 4.5%, compared to 3.2% in Woodbury.
Demographics
Demographics Forest city vs Woodbury provide insight into the diversity of the communities to compare.
Demographic | Forest city | Woodbury |
---|---|---|
Black | 28 | 4 |
White | 57 | 89 |
Asian | 2 | Data is updating |
Hispanic | 8 | 4 |
Two or More Races | 5 | 3 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Forest city vs Woodbury
- A higher percentage of Black residents are in Forest city at 28% compared to 4% in Woodbury.
- The percentage of White residents is higher in Woodbury at 89% compared to 57% in Forest city.
- The Asian population is larger in Forest city at 2% compared to 0% in Woodbury.
- The Hispanic community is larger in Forest city at 8% compared to 4% in Woodbury.
- More residents identify as two or more races in Forest city at 5% compared to 3% in Woodbury.
- The percentage of American Indian residents is the same in both Forest city and Woodbury at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Forest city | Woodbury |
---|---|---|
Mental Health Not Good | 19.0% | 20.1% |
Physical Health Not Good | 14.4% | 13.9% |
Depression | 24.4% | 30.2% |
Smoking | 22.1% | 23.4% |
Binge Drinking | 15.2% | 15.6% |
Obesity | 41.2% | 35.6% |
Disability Percentage | 23.0% | 19.0% |
Health Statistics Comparison: Forest city vs Woodbury
- In Woodbury, a higher percentage report poor mental health at 20.1% compared to 19.0% in Forest city.
- Higher depression rates are seen in Woodbury at 30.2% versus 24.4% in Forest city.
- Woodbury has a higher smoking rate at 23.4% compared to 22.1% in Forest city.
- More residents engage in binge drinking in Woodbury at 15.6% compared to 15.2% in Forest city.
- Obesity rates are higher in Forest city at 41.2% compared to 35.6% in Woodbury.
- Disability percentages are higher in Forest city at 23.0% compared to 19.0% in Woodbury.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Forest city | Woodbury |
---|---|---|
No Schooling | 0.9% (63) | 0.7% (21) |
High School Diploma | 15.5% (1,140) | 28.8% (807) |
Less than High School | 13.0% (956) | 17.9% (502) |
Bachelor's Degree and Higher | 10.7% (785) | 9.7% (271) |
Education Levels Comparison: Forest city vs Woodbury
- A higher percentage of residents in Forest city have no formal schooling at 0.9% compared to 0.7% in Woodbury.
- In Woodbury, the rate of residents with high school diplomas is higher at 28.8% compared to 15.5% in Forest city.
- The percentage of residents with less than a high school education is higher in Woodbury at 17.9%, compared to 13.0% in Forest city.
- A higher percentage of residents in Forest city hold a bachelor's degree or higher at 10.7% compared to 9.7% in Woodbury.
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.