Demographics details for Lima, OH vs Enon valley, PA
Population Overview
Compare main population characteristics in Lima, OH vs Enon valley, PA.
| Data | Lima | Enon valley |
|---|---|---|
| Population | 34,977 | 295 |
| Median Age | 34.7 years | 41.7 years |
| Median Income | $41,824 | $56,875 |
| Married Families | 23.0% | 50.0% |
| Poverty Level | 20% | Data is updating |
| Unemployment Rate | 6.9 | Data is updating |
Population Comparison: Lima vs Enon valley
- In Lima, the population is higher at 34,977, compared to 295 in Enon valley.
- The median age in Enon valley is higher at 41.7 years, compared to 34.7 years in Lima.
- Enon valley has a higher median income of $56,875, compared to $41,824 in Lima.
- In Enon valley, the percentage of married families is higher at 50.0%, compared to 23.0% in Lima.
- Lima has a higher poverty level at 20% compared to 0% in Enon valley.
- The unemployment rate in Lima is higher at 6.9%, compared to 0.0% in Enon valley.
Demographics
Demographics Lima vs Enon valley provide insight into the diversity of the communities to compare.
| Demographic | Lima | Enon valley |
|---|---|---|
| Black | 24 | Data is updating |
| White | 62 | 74 |
| Asian | Data is updating | 6 |
| Hispanic | 5 | Data is updating |
| Two or More Races | 9 | 20 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Lima vs Enon valley
- A higher percentage of Black residents are in Lima at 24% compared to 0% in Enon valley.
- The percentage of White residents is higher in Enon valley at 74% compared to 62% in Lima.
- In Enon valley, the Asian population stands at 6%, greater than 0% in Lima.
- The Hispanic community is larger in Lima at 5% compared to 0% in Enon valley.
- The percentage of residents identifying as two or more races is higher in Enon valley at 20%, compared to 9% in Lima.
- The percentage of American Indian residents is the same in both Lima and Enon valley at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Lima | Enon valley |
|---|---|---|
| Mental Health Not Good | 19.6% | 17.0% |
| Physical Health Not Good | 15.0% | 11.4% |
| Depression | 25.0% | 23.6% |
| Smoking | 27.2% | 19.6% |
| Binge Drinking | 17.3% | 20.0% |
| Obesity | 47.4% | 35.1% |
| Disability Percentage | 19.0% | 15.0% |
Health Statistics Comparison: Lima vs Enon valley
- More residents in Lima report poor mental health at 19.6% compared to 17.0% in Enon valley.
- Depression is more prevalent in Lima at 25.0% compared to 23.6% in Enon valley.
- Smoking is more prevalent in Lima at 27.2% compared to 19.6% in Enon valley.
- More residents engage in binge drinking in Enon valley at 20.0% compared to 17.3% in Lima.
- Obesity rates are higher in Lima at 47.4% compared to 35.1% in Enon valley.
- Disability percentages are higher in Lima at 19.0% compared to 15.0% in Enon valley.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Lima | Enon valley |
|---|---|---|
| No Schooling | 0.7% (247) | 0.0% (Data is updating) |
| High School Diploma | 22.7% (7,927) | 21.4% (63) |
| Less than High School | 12.9% (4,523) | 8.5% (25) |
| Bachelor's Degree and Higher | 7.0% (2,437) | 14.2% (42) |
Education Levels Comparison: Lima vs Enon valley
- A higher percentage of residents in Lima have no formal schooling at 0.7% compared to 0.0% in Enon valley.
- A higher percentage of residents in Lima hold a high school diploma at 22.7% compared to 21.4% in Enon valley.
- More residents in Lima have less than a high school education at 12.9% compared to 8.5% in Enon valley.
- In Enon valley, a larger share of residents have a bachelor's degree or higher at 14.2% 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.