Demographics details for Upper darby, PA vs Rich hill, MO
Population Overview
Compare main population characteristics in Upper darby, PA vs Rich hill, MO.
Data | Upper darby | Rich hill |
---|---|---|
Population | 85,217 | 1,244 |
Median Age | 35.7 years | 41.5 years |
Median Income | $67,579 | $43,205 |
Married Families | 34.0% | 48.0% |
Poverty Level | 9% | 12% |
Unemployment Rate | 5.2 | 4.8 |
Population Comparison: Upper darby vs Rich hill
- In Upper darby, the population is higher at 85,217, compared to 1,244 in Rich hill.
- The median age in Rich hill is higher at 41.5 years, compared to 35.7 years in Upper darby.
- Upper darby has a higher median income of $67,579 compared to $43,205 in Rich hill.
- In Rich hill, the percentage of married families is higher at 48.0%, compared to 34.0% in Upper darby.
- The poverty level is higher in Rich hill at 12%, compared to 9% in Upper darby.
- The unemployment rate in Upper darby is higher at 5.2%, compared to 4.8% in Rich hill.
Demographics
Demographics Upper darby vs Rich hill provide insight into the diversity of the communities to compare.
Demographic | Upper darby | Rich hill |
---|---|---|
Black | 34 | 1 |
White | 39 | 91 |
Asian | 12 | Data is updating |
Hispanic | 9 | 2 |
Two or More Races | 6 | 5 |
American Indian | Data is updating | 1 |
Demographics Comparison: Upper darby vs Rich hill
- A higher percentage of Black residents are in Upper darby at 34% compared to 1% in Rich hill.
- The percentage of White residents is higher in Rich hill at 91% compared to 39% in Upper darby.
- The Asian population is larger in Upper darby at 12% compared to 0% in Rich hill.
- The Hispanic community is larger in Upper darby at 9% compared to 2% in Rich hill.
- More residents identify as two or more races in Upper darby at 6% compared to 5% in Rich hill.
- In Rich hill, the percentage of American Indian residents is higher at 1%, compared to 0% in Upper darby.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Upper darby | Rich hill |
---|---|---|
Mental Health Not Good | Data is updating% | 19.6% |
Physical Health Not Good | Data is updating% | 14.5% |
Depression | Data is updating% | 27.2% |
Smoking | Data is updating% | 25.1% |
Binge Drinking | Data is updating% | 16.8% |
Obesity | Data is updating% | 41.0% |
Disability Percentage | 12.0% | 25.0% |
Health Statistics Comparison: Upper darby vs Rich hill
- In Rich hill, a higher percentage report poor mental health at 19.6% compared to 0.0% in Upper darby.
- Higher depression rates are seen in Rich hill at 27.2% versus 0.0% in Upper darby.
- Rich hill has a higher smoking rate at 25.1% compared to 0.0% in Upper darby.
- More residents engage in binge drinking in Rich hill at 16.8% compared to 0.0% in Upper darby.
- Rich hill has higher obesity rates at 41.0% compared to 0.0% in Upper darby.
- There is a higher percentage of disabled individuals in Rich hill at 25.0% compared to 12.0% in Upper darby.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Upper darby | Rich hill |
---|---|---|
No Schooling | 1.4% (1,162) | 1.4% (17) |
High School Diploma | 17.6% (14,973) | 29.9% (372) |
Less than High School | 10.3% (8,806) | 42.6% (530) |
Bachelor's Degree and Higher | 22.2% (18,927) | 7.4% (92) |
Education Levels Comparison: Upper darby vs Rich hill
- The percentage of residents with no formal schooling is the same in both Upper darby and Rich hill at 1.4%.
- In Rich hill, the rate of residents with high school diplomas is higher at 29.9% compared to 17.6% in Upper darby.
- The percentage of residents with less than a high school education is higher in Rich hill at 42.6%, compared to 10.3% in Upper darby.
- A higher percentage of residents in Upper darby hold a bachelor's degree or higher at 22.2% 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.