Demographics details for Mineral bluff, GA vs Lima, OH
Population Overview
Compare main population characteristics in Mineral bluff, GA vs Lima, OH.
| Data | Mineral bluff | Lima |
|---|---|---|
| Population | 370 | 34,977 |
| Median Age | 24.6 years | 34.7 years |
| Median Income | $173,132 | $41,824 |
| Married Families | 36.0% | 23.0% |
| Poverty Level | 9% | 20% |
| Unemployment Rate | 2.5 | 6.9 |
Population Comparison: Mineral bluff vs Lima
- The population in Lima is higher at 34,977, compared to 370 in Mineral bluff.
- The median age in Lima is higher at 34.7 years, compared to 24.6 years in Mineral bluff.
- Mineral bluff has a higher median income of $173,132 compared to $41,824 in Lima.
- A higher percentage of married families is found in Mineral bluff at 36.0% compared to 23.0% in Lima.
- The poverty level is higher in Lima at 20%, compared to 9% in Mineral bluff.
- Lima has a higher unemployment rate at 6.9% compared to 2.5% in Mineral bluff.
Demographics
Demographics Mineral bluff vs Lima provide insight into the diversity of the communities to compare.
| Demographic | Mineral bluff | Lima |
|---|---|---|
| Black | Data is updating | 24 |
| White | 96 | 62 |
| Asian | Data is updating | Data is updating |
| Hispanic | Data is updating | 5 |
| Two or More Races | 4 | 9 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Mineral bluff vs Lima
- In Lima, the percentage of Black residents is higher at 24% compared to 0% in Mineral bluff.
- Mineral bluff has a higher percentage of White residents at 96% compared to 62% in Lima.
- Both Mineral bluff and Lima have the same percentage of Asian residents at 0%.
- Lima has a higher percentage of Hispanic residents at 5%, compared to 0% in Mineral bluff.
- The percentage of residents identifying as two or more races is higher in Lima at 9%, compared to 4% in Mineral bluff.
- The percentage of American Indian residents is the same in both Mineral bluff and Lima at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Mineral bluff | Lima |
|---|---|---|
| Mental Health Not Good | 18.3% | 19.6% |
| Physical Health Not Good | 12.9% | 15.0% |
| Depression | 24.6% | 25.0% |
| Smoking | 20.0% | 27.2% |
| Binge Drinking | 17.1% | 17.3% |
| Obesity | 32.0% | 47.4% |
| Disability Percentage | Data is updating% | 19.0% |
Health Statistics Comparison: Mineral bluff vs Lima
- In Lima, a higher percentage report poor mental health at 19.6% compared to 18.3% in Mineral bluff.
- Higher depression rates are seen in Lima at 25.0% versus 24.6% in Mineral bluff.
- Lima has a higher smoking rate at 27.2% compared to 20.0% in Mineral bluff.
- More residents engage in binge drinking in Lima at 17.3% compared to 17.1% in Mineral bluff.
- Lima has higher obesity rates at 47.4% compared to 32.0% in Mineral bluff.
- There is a higher percentage of disabled individuals in Lima at 19.0% compared to 0.0% in Mineral bluff.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Mineral bluff | Lima |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.7% (247) |
| High School Diploma | 9.2% (34) | 22.7% (7,927) |
| Less than High School | 0.0% (Data is updating) | 12.9% (4,523) |
| Bachelor's Degree and Higher | 14.1% (52) | 7.0% (2,437) |
Education Levels Comparison: Mineral bluff vs Lima
- In Lima, a larger percentage of residents lack formal schooling at 0.7% compared to 0.0% in Mineral bluff.
- In Lima, the rate of residents with high school diplomas is higher at 22.7% compared to 9.2% in Mineral bluff.
- The percentage of residents with less than a high school education is higher in Lima at 12.9%, compared to 0.0% in Mineral bluff.
- A higher percentage of residents in Mineral bluff hold a bachelor's degree or higher at 14.1% compared to 7.0% in Lima.
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.