Demographics details for Cornelia, GA vs Forest city, NC
Population Overview
Compare main population characteristics in Cornelia, GA vs Forest city, NC.
Data | Cornelia | Forest city |
---|---|---|
Population | 5,004 | 7,358 |
Median Age | 30.4 years | 32.8 years |
Median Income | $46,211 | $35,232 |
Married Families | 32.0% | 21.0% |
Poverty Level | 12% | 11% |
Unemployment Rate | 3.5 | 4.5 |
Population Comparison: Cornelia vs Forest city
- The population in Forest city is higher at 7,358, compared to 5,004 in Cornelia.
- The median age in Forest city is higher at 32.8 years, compared to 30.4 years in Cornelia.
- Cornelia has a higher median income of $46,211 compared to $35,232 in Forest city.
- A higher percentage of married families is found in Cornelia at 32.0% compared to 21.0% in Forest city.
- Cornelia has a higher poverty level at 12% compared to 11% in Forest city.
- Forest city has a higher unemployment rate at 4.5% compared to 3.5% in Cornelia.
Demographics
Demographics Cornelia vs Forest city provide insight into the diversity of the communities to compare.
Demographic | Cornelia | Forest city |
---|---|---|
Black | 9 | 28 |
White | 43 | 57 |
Asian | 3 | 2 |
Hispanic | 32 | 8 |
Two or More Races | 13 | 5 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Cornelia vs Forest city
- In Forest city, the percentage of Black residents is higher at 28% compared to 9% in Cornelia.
- The percentage of White residents is higher in Forest city at 57% compared to 43% in Cornelia.
- The Asian population is larger in Cornelia at 3% compared to 2% in Forest city.
- The Hispanic community is larger in Cornelia at 32% compared to 8% in Forest city.
- More residents identify as two or more races in Cornelia at 13% compared to 5% in Forest city.
- The percentage of American Indian residents is the same in both Cornelia and Forest city at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Cornelia | Forest city |
---|---|---|
Mental Health Not Good | 18.2% | 19.0% |
Physical Health Not Good | 14.7% | 14.4% |
Depression | 22.4% | 24.4% |
Smoking | 20.2% | 22.1% |
Binge Drinking | 14.4% | 15.2% |
Obesity | 34.6% | 41.2% |
Disability Percentage | 13.0% | 23.0% |
Health Statistics Comparison: Cornelia vs Forest city
- In Forest city, a higher percentage report poor mental health at 19.0% compared to 18.2% in Cornelia.
- Higher depression rates are seen in Forest city at 24.4% versus 22.4% in Cornelia.
- Forest city has a higher smoking rate at 22.1% compared to 20.2% in Cornelia.
- More residents engage in binge drinking in Forest city at 15.2% compared to 14.4% in Cornelia.
- Forest city has higher obesity rates at 41.2% compared to 34.6% in Cornelia.
- There is a higher percentage of disabled individuals in Forest city at 23.0% compared to 13.0% in Cornelia.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Cornelia | Forest city |
---|---|---|
No Schooling | 3.6% (179) | 0.9% (63) |
High School Diploma | 9.5% (473) | 15.5% (1,140) |
Less than High School | 35.8% (1,790) | 13.0% (956) |
Bachelor's Degree and Higher | 12.5% (625) | 10.7% (785) |
Education Levels Comparison: Cornelia vs Forest city
- A higher percentage of residents in Cornelia have no formal schooling at 3.6% 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 9.5% in Cornelia.
- More residents in Cornelia have less than a high school education at 35.8% compared to 13.0% in Forest city.
- A higher percentage of residents in Cornelia hold a bachelor's degree or higher at 12.5% 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.