Demographics details for Upper darby, PA vs Marshall, CA
Population Overview
Compare main population characteristics in Upper darby, PA vs Marshall, CA.
Data | Upper darby | Marshall |
---|---|---|
Population | 85,217 | 533 |
Median Age | 35.7 years | 42.0 years |
Median Income | $67,579 | $90,000 |
Married Families | 34.0% | 60.0% |
Poverty Level | 9% | 5% |
Unemployment Rate | 5.2 | 3.0 |
Population Comparison: Upper darby vs Marshall
- In Upper darby, the population is higher at 85,217, compared to 533 in Marshall.
- The median age in Marshall is higher at 42.0 years, compared to 35.7 years in Upper darby.
- Marshall has a higher median income of $90,000, compared to $67,579 in Upper darby.
- In Marshall, the percentage of married families is higher at 60.0%, compared to 34.0% in Upper darby.
- Upper darby has a higher poverty level at 9% compared to 5% in Marshall.
- The unemployment rate in Upper darby is higher at 5.2%, compared to 3.0% in Marshall.
Demographics
Demographics Upper darby vs Marshall provide insight into the diversity of the communities to compare.
Demographic | Upper darby | Marshall |
---|---|---|
Black | 34 | Data is updating |
White | 39 | 90 |
Asian | 12 | 2 |
Hispanic | 9 | 5 |
Two or More Races | 6 | 3 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Upper darby vs Marshall
- A higher percentage of Black residents are in Upper darby at 34% compared to 0% in Marshall.
- The percentage of White residents is higher in Marshall at 90% compared to 39% in Upper darby.
- The Asian population is larger in Upper darby at 12% compared to 2% in Marshall.
- The Hispanic community is larger in Upper darby at 9% compared to 5% in Marshall.
- More residents identify as two or more races in Upper darby at 6% compared to 3% in Marshall.
- The percentage of American Indian residents is the same in both Upper darby and Marshall at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Upper darby | Marshall |
---|---|---|
Mental Health Not Good | Data is updating% | Data is updating% |
Physical Health Not Good | Data is updating% | Data is updating% |
Depression | Data is updating% | Data is updating% |
Smoking | Data is updating% | Data is updating% |
Binge Drinking | Data is updating% | Data is updating% |
Obesity | Data is updating% | Data is updating% |
Disability Percentage | 12.0% | Data is updating% |
Health Statistics Comparison: Upper darby vs Marshall
- Poor mental health levels are equal in both Upper darby and Marshall at 0.0%.
- Both cities have comparable depression rates at 0.0%.
- Smoking rates are the same in both Upper darby and Marshall at 0.0%.
- Binge drinking rates are similar in both Upper darby and Marshall at 0.0%.
- Both cities have the same obesity rates at 0.0%.
- Disability percentages are higher in Upper darby at 12.0% compared to 0.0% in Marshall.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Upper darby | Marshall |
---|---|---|
No Schooling | 1.4% (1,162) | 0.0% (Data is updating) |
High School Diploma | 17.6% (14,973) | 0.0% (Data is updating) |
Less than High School | 10.3% (8,806) | 0.0% (Data is updating) |
Bachelor's Degree and Higher | 22.2% (18,927) | 0.0% (Data is updating) |
Education Levels Comparison: Upper darby vs Marshall
- A higher percentage of residents in Upper darby have no formal schooling at 1.4% compared to 0.0% in Marshall.
- A higher percentage of residents in Upper darby hold a high school diploma at 17.6% compared to 0.0% in Marshall.
- More residents in Upper darby have less than a high school education at 10.3% compared to 0.0% in Marshall.
- A higher percentage of residents in Upper darby hold a bachelor's degree or higher at 22.2% compared to 0.0% in Marshall.
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.