Demographics details for Sugar land, TX vs Severna park, MD
Population Overview
Compare main population characteristics in Sugar land, TX vs Severna park, MD.
Data | Sugar land | Severna park |
---|---|---|
Population | 109,414 | 40,452 |
Median Age | 42.5 years | 41.5 years |
Median Income | $132,247 | $164,288 |
Married Families | 52.0% | 48.0% |
Poverty Level | 6% | 3% |
Unemployment Rate | 4.0 | 3.2 |
Population Comparison: Sugar land vs Severna park
- In Sugar land, the population is higher at 109,414, compared to 40,452 in Severna park.
- Residents in Sugar land have a higher median age of 42.5 years compared to 41.5 years in Severna park.
- Severna park has a higher median income of $164,288, compared to $132,247 in Sugar land.
- A higher percentage of married families is found in Sugar land at 52.0% compared to 48.0% in Severna park.
- Sugar land has a higher poverty level at 6% compared to 3% in Severna park.
- The unemployment rate in Sugar land is higher at 4.0%, compared to 3.2% in Severna park.
Demographics
Demographics Sugar land vs Severna park provide insight into the diversity of the communities to compare.
Demographic | Sugar land | Severna park |
---|---|---|
Black | 7 | 3 |
White | 33 | 86 |
Asian | 39 | 3 |
Hispanic | 13 | 3 |
Two or More Races | 8 | 5 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Sugar land vs Severna park
- A higher percentage of Black residents are in Sugar land at 7% compared to 3% in Severna park.
- The percentage of White residents is higher in Severna park at 86% compared to 33% in Sugar land.
- The Asian population is larger in Sugar land at 39% compared to 3% in Severna park.
- The Hispanic community is larger in Sugar land at 13% compared to 3% in Severna park.
- More residents identify as two or more races in Sugar land at 8% compared to 5% in Severna park.
- The percentage of American Indian residents is the same in both Sugar land and Severna park at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Sugar land | Severna park |
---|---|---|
Mental Health Not Good | 12.5% | 13.1% |
Physical Health Not Good | 7.4% | 7.3% |
Depression | 16.9% | 19.9% |
Smoking | 9.6% | 9.0% |
Binge Drinking | 16.0% | 18.4% |
Obesity | 25.0% | 31.9% |
Disability Percentage | 7.0% | 8.0% |
Health Statistics Comparison: Sugar land vs Severna park
- In Severna park, a higher percentage report poor mental health at 13.1% compared to 12.5% in Sugar land.
- Higher depression rates are seen in Severna park at 19.9% versus 16.9% in Sugar land.
- Smoking is more prevalent in Sugar land at 9.6% compared to 9.0% in Severna park.
- More residents engage in binge drinking in Severna park at 18.4% compared to 16.0% in Sugar land.
- Severna park has higher obesity rates at 31.9% compared to 25.0% in Sugar land.
- There is a higher percentage of disabled individuals in Severna park at 8.0% compared to 7.0% in Sugar land.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Sugar land | Severna park |
---|---|---|
No Schooling | 1.2% (1,314) | 0.4% (145) |
High School Diploma | 7.3% (7,972) | 10.9% (4,392) |
Less than High School | 4.3% (4,753) | 4.3% (1,731) |
Bachelor's Degree and Higher | 42.8% (46,851) | 38.1% (15,411) |
Education Levels Comparison: Sugar land vs Severna park
- A higher percentage of residents in Sugar land have no formal schooling at 1.2% compared to 0.4% in Severna park.
- In Severna park, the rate of residents with high school diplomas is higher at 10.9% compared to 7.3% in Sugar land.
- Both cities report the same percentage of residents with less than a high school education at 4.3%.
- A higher percentage of residents in Sugar land hold a bachelor's degree or higher at 42.8% compared to 38.1% in Severna 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.