Demographics details for College park, MD vs Sugar land, TX
Population Overview
Compare main population characteristics in College park, MD vs Sugar land, TX.
Data | College park | Sugar land |
---|---|---|
Population | 34,190 | 109,414 |
Median Age | 21.6 years | 42.5 years |
Median Income | $76,973 | $132,247 |
Married Families | 17.0% | 52.0% |
Poverty Level | 10% | 6% |
Unemployment Rate | 5.5 | 4.0 |
Population Comparison: College park vs Sugar land
- The population in Sugar land is higher at 109,414, compared to 34,190 in College park.
- The median age in Sugar land is higher at 42.5 years, compared to 21.6 years in College park.
- Sugar land has a higher median income of $132,247, compared to $76,973 in College park.
- In Sugar land, the percentage of married families is higher at 52.0%, compared to 17.0% in College park.
- College park has a higher poverty level at 10% compared to 6% in Sugar land.
- The unemployment rate in College park is higher at 5.5%, compared to 4.0% in Sugar land.
Demographics
Demographics College park vs Sugar land provide insight into the diversity of the communities to compare.
Demographic | College park | Sugar land |
---|---|---|
Black | 23 | 7 |
White | 39 | 33 |
Asian | 14 | 39 |
Hispanic | 17 | 13 |
Two or More Races | 7 | 8 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: College park vs Sugar land
- A higher percentage of Black residents are in College park at 23% compared to 7% in Sugar land.
- College park has a higher percentage of White residents at 39% compared to 33% in Sugar land.
- In Sugar land, the Asian population stands at 39%, greater than 14% in College park.
- The Hispanic community is larger in College park at 17% compared to 13% in Sugar land.
- The percentage of residents identifying as two or more races is higher in Sugar land at 8%, compared to 7% in College park.
- The percentage of American Indian residents is the same in both College park and Sugar land at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | College park | Sugar land |
---|---|---|
Mental Health Not Good | 14.8% | 12.5% |
Physical Health Not Good | 10.0% | 7.4% |
Depression | 15.4% | 16.9% |
Smoking | 12.4% | 9.6% |
Binge Drinking | 12.8% | 16.0% |
Obesity | 36.4% | 25.0% |
Disability Percentage | 5.0% | 7.0% |
Health Statistics Comparison: College park vs Sugar land
- More residents in College park report poor mental health at 14.8% compared to 12.5% in Sugar land.
- Higher depression rates are seen in Sugar land at 16.9% versus 15.4% in College park.
- Smoking is more prevalent in College park at 12.4% compared to 9.6% in Sugar land.
- More residents engage in binge drinking in Sugar land at 16.0% compared to 12.8% in College park.
- Obesity rates are higher in College park at 36.4% compared to 25.0% in Sugar land.
- There is a higher percentage of disabled individuals in Sugar land at 7.0% compared to 5.0% in College park.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | College park | Sugar land |
---|---|---|
No Schooling | 1.9% (657) | 1.2% (1,314) |
High School Diploma | 6.4% (2,199) | 7.3% (7,972) |
Less than High School | 9.4% (3,210) | 4.3% (4,753) |
Bachelor's Degree and Higher | 19.8% (6,769) | 42.8% (46,851) |
Education Levels Comparison: College park vs Sugar land
- A higher percentage of residents in College park have no formal schooling at 1.9% compared to 1.2% in Sugar land.
- In Sugar land, the rate of residents with high school diplomas is higher at 7.3% compared to 6.4% in College park.
- More residents in College park have less than a high school education at 9.4% compared to 4.3% in Sugar land.
- In Sugar land, a larger share of residents have a bachelor's degree or higher at 42.8% compared to 19.8% in College park.
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.