Demographics details for Enon valley, PA vs Rich hill, MO
Population Overview
Compare main population characteristics in Enon valley, PA vs Rich hill, MO.
Data | Enon valley | Rich hill |
---|---|---|
Population | 295 | 1,244 |
Median Age | 41.7 years | 41.5 years |
Median Income | $56,875 | $43,205 |
Married Families | 50.0% | 48.0% |
Poverty Level | Data is updating | 12% |
Unemployment Rate | Data is updating | 4.8 |
Population Comparison: Enon valley vs Rich hill
- The population in Rich hill is higher at 1,244, compared to 295 in Enon valley.
- Residents in Enon valley have a higher median age of 41.7 years compared to 41.5 years in Rich hill.
- Enon valley has a higher median income of $56,875 compared to $43,205 in Rich hill.
- A higher percentage of married families is found in Enon valley at 50.0% compared to 48.0% in Rich hill.
- The poverty level is higher in Rich hill at 12%, compared to 0% in Enon valley.
- Rich hill has a higher unemployment rate at 4.8% compared to 0.0% in Enon valley.
Demographics
Demographics Enon valley vs Rich hill provide insight into the diversity of the communities to compare.
Demographic | Enon valley | Rich hill |
---|---|---|
Black | Data is updating | 1 |
White | 74 | 91 |
Asian | 6 | Data is updating |
Hispanic | Data is updating | 2 |
Two or More Races | 20 | 5 |
American Indian | Data is updating | 1 |
Demographics Comparison: Enon valley vs Rich hill
- In Rich hill, the percentage of Black residents is higher at 1% compared to 0% in Enon valley.
- The percentage of White residents is higher in Rich hill at 91% compared to 74% in Enon valley.
- The Asian population is larger in Enon valley at 6% compared to 0% in Rich hill.
- Rich hill has a higher percentage of Hispanic residents at 2%, compared to 0% in Enon valley.
- More residents identify as two or more races in Enon valley at 20% compared to 5% in Rich hill.
- In Rich hill, the percentage of American Indian residents is higher at 1%, compared to 0% in Enon valley.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Enon valley | Rich hill |
---|---|---|
Mental Health Not Good | 17.0% | 19.6% |
Physical Health Not Good | 11.4% | 14.5% |
Depression | 23.6% | 27.2% |
Smoking | 19.6% | 25.1% |
Binge Drinking | 20.0% | 16.8% |
Obesity | 35.1% | 41.0% |
Disability Percentage | 15.0% | 25.0% |
Health Statistics Comparison: Enon valley vs Rich hill
- In Rich hill, a higher percentage report poor mental health at 19.6% compared to 17.0% in Enon valley.
- Higher depression rates are seen in Rich hill at 27.2% versus 23.6% in Enon valley.
- Rich hill has a higher smoking rate at 25.1% compared to 19.6% in Enon valley.
- Binge drinking is more common in Enon valley at 20.0% compared to 16.8% in Rich hill.
- Rich hill has higher obesity rates at 41.0% compared to 35.1% in Enon valley.
- There is a higher percentage of disabled individuals in Rich hill at 25.0% 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 | Enon valley | Rich hill |
---|---|---|
No Schooling | 0.0% (Data is updating) | 1.4% (17) |
High School Diploma | 21.4% (63) | 29.9% (372) |
Less than High School | 8.5% (25) | 42.6% (530) |
Bachelor's Degree and Higher | 14.2% (42) | 7.4% (92) |
Education Levels Comparison: Enon valley vs Rich hill
- In Rich hill, a larger percentage of residents lack formal schooling at 1.4% compared to 0.0% in Enon valley.
- In Rich hill, the rate of residents with high school diplomas is higher at 29.9% compared to 21.4% in Enon valley.
- The percentage of residents with less than a high school education is higher in Rich hill at 42.6%, compared to 8.5% in Enon valley.
- A higher percentage of residents in Enon valley hold a bachelor's degree or higher at 14.2% compared to 7.4% in Rich hill.
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.