Demographics details for West chester, PA vs Lima, OH
Population Overview
Compare main population characteristics in West chester, PA vs Lima, OH.
| Data | West chester | Lima |
|---|---|---|
| Population | 19,531 | 34,977 |
| Median Age | 24.6 years | 34.7 years |
| Median Income | $71,875 | $41,824 |
| Married Families | 17.0% | 23.0% |
| Poverty Level | 8% | 20% |
| Unemployment Rate | 4.2 | 6.9 |
Population Comparison: West chester vs Lima
- The population in Lima is higher at 34,977, compared to 19,531 in West chester.
- The median age in Lima is higher at 34.7 years, compared to 24.6 years in West chester.
- West chester has a higher median income of $71,875 compared to $41,824 in Lima.
- In Lima, the percentage of married families is higher at 23.0%, compared to 17.0% in West chester.
- The poverty level is higher in Lima at 20%, compared to 8% in West chester.
- Lima has a higher unemployment rate at 6.9% compared to 4.2% in West chester.
Demographics
Demographics West chester vs Lima provide insight into the diversity of the communities to compare.
| Demographic | West chester | Lima |
|---|---|---|
| Black | 14 | 24 |
| White | 69 | 62 |
| Asian | 2 | Data is updating |
| Hispanic | 11 | 5 |
| Two or More Races | 4 | 9 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: West chester vs Lima
- In Lima, the percentage of Black residents is higher at 24% compared to 14% in West chester.
- West chester has a higher percentage of White residents at 69% compared to 62% in Lima.
- The Asian population is larger in West chester at 2% compared to 0% in Lima.
- The Hispanic community is larger in West chester at 11% compared to 5% in Lima.
- The percentage of residents identifying as two or more races is higher in Lima at 9%, compared to 4% in West chester.
- The percentage of American Indian residents is the same in both West chester and Lima at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | West chester | Lima |
|---|---|---|
| Mental Health Not Good | 15.6% | 19.6% |
| Physical Health Not Good | 11.0% | 15.0% |
| Depression | 22.0% | 25.0% |
| Smoking | 15.0% | 27.2% |
| Binge Drinking | 16.9% | 17.3% |
| Obesity | 37.3% | 47.4% |
| Disability Percentage | 9.0% | 19.0% |
Health Statistics Comparison: West chester vs Lima
- In Lima, a higher percentage report poor mental health at 19.6% compared to 15.6% in West chester.
- Higher depression rates are seen in Lima at 25.0% versus 22.0% in West chester.
- Lima has a higher smoking rate at 27.2% compared to 15.0% in West chester.
- More residents engage in binge drinking in Lima at 17.3% compared to 16.9% in West chester.
- Lima has higher obesity rates at 47.4% compared to 37.3% in West chester.
- There is a higher percentage of disabled individuals in Lima at 19.0% compared to 9.0% in West chester.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | West chester | Lima |
|---|---|---|
| No Schooling | 0.1% (23) | 0.7% (247) |
| High School Diploma | 8.7% (1,706) | 22.7% (7,927) |
| Less than High School | 4.6% (904) | 12.9% (4,523) |
| Bachelor's Degree and Higher | 26.1% (5,097) | 7.0% (2,437) |
Education Levels Comparison: West chester vs Lima
- In Lima, a larger percentage of residents lack formal schooling at 0.7% compared to 0.1% in West chester.
- In Lima, the rate of residents with high school diplomas is higher at 22.7% compared to 8.7% in West chester.
- The percentage of residents with less than a high school education is higher in Lima at 12.9%, compared to 4.6% in West chester.
- A higher percentage of residents in West chester hold a bachelor's degree or higher at 26.1% 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.