Demographics details for Richmond, VA vs Manheim, PA
Population Overview
Compare main population characteristics in Richmond, VA vs Manheim, PA.
Data | Richmond | Manheim |
---|---|---|
Population | 229,395 | 5,012 |
Median Age | 34.5 years | 33.6 years |
Median Income | $59,606 | $75,833 |
Married Families | 25.0% | 39.0% |
Poverty Level | 14% | 8% |
Unemployment Rate | 3.5 | 4.5 |
Population Comparison: Richmond vs Manheim
- In Richmond, the population is higher at 229,395, compared to 5,012 in Manheim.
- Residents in Richmond have a higher median age of 34.5 years compared to 33.6 years in Manheim.
- Manheim has a higher median income of $75,833, compared to $59,606 in Richmond.
- In Manheim, the percentage of married families is higher at 39.0%, compared to 25.0% in Richmond.
- Richmond has a higher poverty level at 14% compared to 8% in Manheim.
- Manheim has a higher unemployment rate at 4.5% compared to 3.5% in Richmond.
Demographics
Demographics Richmond vs Manheim provide insight into the diversity of the communities to compare.
Demographic | Richmond | Manheim |
---|---|---|
Black | 44 | 1 |
White | 40 | 87 |
Asian | 2 | Data is updating |
Hispanic | 8 | 5 |
Two or More Races | 6 | 7 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Richmond vs Manheim
- A higher percentage of Black residents are in Richmond at 44% compared to 1% in Manheim.
- The percentage of White residents is higher in Manheim at 87% compared to 40% in Richmond.
- The Asian population is larger in Richmond at 2% compared to 0% in Manheim.
- The Hispanic community is larger in Richmond at 8% compared to 5% in Manheim.
- The percentage of residents identifying as two or more races is higher in Manheim at 7%, compared to 6% in Richmond.
- The percentage of American Indian residents is the same in both Richmond and Manheim at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Richmond | Manheim |
---|---|---|
Mental Health Not Good | 18.8% | 16.3% |
Physical Health Not Good | 12.3% | 11.3% |
Depression | 21.4% | 23.4% |
Smoking | 18.3% | 18.0% |
Binge Drinking | 18.6% | 17.9% |
Obesity | 34.4% | 35.4% |
Disability Percentage | 14.0% | 11.0% |
Health Statistics Comparison: Richmond vs Manheim
- More residents in Richmond report poor mental health at 18.8% compared to 16.3% in Manheim.
- Higher depression rates are seen in Manheim at 23.4% versus 21.4% in Richmond.
- Smoking is more prevalent in Richmond at 18.3% compared to 18.0% in Manheim.
- Binge drinking is more common in Richmond at 18.6% compared to 17.9% in Manheim.
- Manheim has higher obesity rates at 35.4% compared to 34.4% in Richmond.
- Disability percentages are higher in Richmond at 14.0% 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 | Richmond | Manheim |
---|---|---|
No Schooling | 0.8% (1,793) | 0.8% (38) |
High School Diploma | 11.6% (26,718) | 22.8% (1,142) |
Less than High School | 10.4% (23,891) | 9.5% (474) |
Bachelor's Degree and Higher | 31.0% (70,999) | 19.6% (983) |
Education Levels Comparison: Richmond vs Manheim
- The percentage of residents with no formal schooling is the same in both Richmond and Manheim at 0.8%.
- In Manheim, the rate of residents with high school diplomas is higher at 22.8% compared to 11.6% in Richmond.
- More residents in Richmond have less than a high school education at 10.4% compared to 9.5% in Manheim.
- A higher percentage of residents in Richmond hold a bachelor's degree or higher at 31.0% compared to 19.6% in Manheim.
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.