Demographics details for Manheim, PA vs Charlotte, TN
Population Overview
Compare main population characteristics in Manheim, PA vs Charlotte, TN.
| Data | Manheim | Charlotte |
|---|---|---|
| Population | 5,012 | 1,674 |
| Median Age | 33.6 years | 36.8 years |
| Median Income | $75,833 | $57,188 |
| Married Families | 39.0% | 46.0% |
| Poverty Level | 8% | 14% |
| Unemployment Rate | 4.5 | 4.3 |
Population Comparison: Manheim vs Charlotte
- In Manheim, the population is higher at 5,012, compared to 1,674 in Charlotte.
- The median age in Charlotte is higher at 36.8 years, compared to 33.6 years in Manheim.
- Manheim has a higher median income of $75,833 compared to $57,188 in Charlotte.
- In Charlotte, the percentage of married families is higher at 46.0%, compared to 39.0% in Manheim.
- The poverty level is higher in Charlotte at 14%, compared to 8% in Manheim.
- The unemployment rate in Manheim is higher at 4.5%, compared to 4.3% in Charlotte.
Demographics
Demographics Manheim vs Charlotte provide insight into the diversity of the communities to compare.
| Demographic | Manheim | Charlotte |
|---|---|---|
| Black | 1 | 6 |
| White | 87 | 82 |
| Asian | Data is updating | Data is updating |
| Hispanic | 5 | 4 |
| Two or More Races | 7 | 6 |
| American Indian | Data is updating | 2 |
Demographics Comparison: Manheim vs Charlotte
- In Charlotte, the percentage of Black residents is higher at 6% compared to 1% in Manheim.
- Manheim has a higher percentage of White residents at 87% compared to 82% in Charlotte.
- Both Manheim and Charlotte have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Manheim at 5% compared to 4% in Charlotte.
- More residents identify as two or more races in Manheim at 7% compared to 6% in Charlotte.
- In Charlotte, the percentage of American Indian residents is higher at 2%, compared to 0% in Manheim.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Manheim | Charlotte |
|---|---|---|
| Mental Health Not Good | 16.3% | 20.3% |
| Physical Health Not Good | 11.3% | 14.7% |
| Depression | 23.4% | 28.8% |
| Smoking | 18.0% | 25.3% |
| Binge Drinking | 17.9% | 16.0% |
| Obesity | 35.4% | 38.9% |
| Disability Percentage | 11.0% | 27.0% |
Health Statistics Comparison: Manheim vs Charlotte
- In Charlotte, a higher percentage report poor mental health at 20.3% compared to 16.3% in Manheim.
- Higher depression rates are seen in Charlotte at 28.8% versus 23.4% in Manheim.
- Charlotte has a higher smoking rate at 25.3% compared to 18.0% in Manheim.
- Binge drinking is more common in Manheim at 17.9% compared to 16.0% in Charlotte.
- Charlotte has higher obesity rates at 38.9% compared to 35.4% in Manheim.
- There is a higher percentage of disabled individuals in Charlotte at 27.0% compared to 11.0% in Manheim.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Manheim | Charlotte |
|---|---|---|
| No Schooling | 0.8% (38) | 0.4% (6) |
| High School Diploma | 22.8% (1,142) | 25.3% (424) |
| Less than High School | 9.5% (474) | 26.0% (436) |
| Bachelor's Degree and Higher | 19.6% (983) | 9.9% (166) |
Education Levels Comparison: Manheim vs Charlotte
- A higher percentage of residents in Manheim have no formal schooling at 0.8% compared to 0.4% in Charlotte.
- In Charlotte, the rate of residents with high school diplomas is higher at 25.3% compared to 22.8% in Manheim.
- The percentage of residents with less than a high school education is higher in Charlotte at 26.0%, compared to 9.5% in Manheim.
- A higher percentage of residents in Manheim hold a bachelor's degree or higher at 19.6% compared to 9.9% in Charlotte.
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.