Demographics details for Firth, NE vs Chula, GA
Population Overview
Compare main population characteristics in Firth, NE vs Chula, GA.
| Data | Firth | Chula |
|---|---|---|
| Population | 654 | 2,087 |
| Median Age | 37.0 years | 49.9 years |
| Median Income | $86,042 | $48,125 |
| Married Families | 38.0% | 48.0% |
| Poverty Level | 5% | 12% |
| Unemployment Rate | 2.5 | 3.5 |
Population Comparison: Firth vs Chula
- The population in Chula is higher at 2,087, compared to 654 in Firth.
- The median age in Chula is higher at 49.9 years, compared to 37.0 years in Firth.
- Firth has a higher median income of $86,042 compared to $48,125 in Chula.
- In Chula, the percentage of married families is higher at 48.0%, compared to 38.0% in Firth.
- The poverty level is higher in Chula at 12%, compared to 5% in Firth.
- Chula has a higher unemployment rate at 3.5% compared to 2.5% in Firth.
Demographics
Demographics Firth vs Chula provide insight into the diversity of the communities to compare.
| Demographic | Firth | Chula |
|---|---|---|
| Black | Data is updating | 11 |
| White | 85 | 76 |
| Asian | 1 | Data is updating |
| Hispanic | 8 | 2 |
| Two or More Races | 6 | 11 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Firth vs Chula
- In Chula, the percentage of Black residents is higher at 11% compared to 0% in Firth.
- Firth has a higher percentage of White residents at 85% compared to 76% in Chula.
- The Asian population is larger in Firth at 1% compared to 0% in Chula.
- The Hispanic community is larger in Firth at 8% compared to 2% in Chula.
- The percentage of residents identifying as two or more races is higher in Chula at 11%, compared to 6% in Firth.
- The percentage of American Indian residents is the same in both Firth and Chula at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Firth | Chula |
|---|---|---|
| Mental Health Not Good | 12.3% | Data is updating% |
| Physical Health Not Good | 7.0% | Data is updating% |
| Depression | 17.9% | Data is updating% |
| Smoking | 11.4% | Data is updating% |
| Binge Drinking | 24.1% | Data is updating% |
| Obesity | 31.5% | Data is updating% |
| Disability Percentage | 6.0% | 16.0% |
Health Statistics Comparison: Firth vs Chula
- More residents in Firth report poor mental health at 12.3% compared to 0.0% in Chula.
- Depression is more prevalent in Firth at 17.9% compared to 0.0% in Chula.
- Smoking is more prevalent in Firth at 11.4% compared to 0.0% in Chula.
- Binge drinking is more common in Firth at 24.1% compared to 0.0% in Chula.
- Obesity rates are higher in Firth at 31.5% compared to 0.0% in Chula.
- There is a higher percentage of disabled individuals in Chula at 16.0% compared to 6.0% in Firth.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Firth | Chula |
|---|---|---|
| No Schooling | 3.2% (21) | 0.8% (16) |
| High School Diploma | 9.2% (60) | 24.1% (504) |
| Less than High School | 10.1% (66) | 11.0% (229) |
| Bachelor's Degree and Higher | 12.5% (82) | 15.7% (328) |
Education Levels Comparison: Firth vs Chula
- A higher percentage of residents in Firth have no formal schooling at 3.2% compared to 0.8% in Chula.
- In Chula, the rate of residents with high school diplomas is higher at 24.1% compared to 9.2% in Firth.
- The percentage of residents with less than a high school education is higher in Chula at 11.0%, compared to 10.1% in Firth.
- In Chula, a larger share of residents have a bachelor's degree or higher at 15.7% compared to 12.5% in Firth.
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.