Demographics details for Canton, MA vs Sugar land, TX
Population Overview
Compare main population characteristics in Canton, MA vs Sugar land, TX.
Data | Canton | Sugar land |
---|---|---|
Population | 23,629 | 109,414 |
Median Age | 39.0 years | 42.5 years |
Median Income | $120,000 | $132,247 |
Married Families | 69.6% | 52.0% |
Poverty Level | 4% | 6% |
Unemployment Rate | 3.9 | 4.0 |
Population Comparison: Canton vs Sugar land
- The population in Sugar land is higher at 109,414, compared to 23,629 in Canton.
- The median age in Sugar land is higher at 42.5 years, compared to 39.0 years in Canton.
- Sugar land has a higher median income of $132,247, compared to $120,000 in Canton.
- A higher percentage of married families is found in Canton at 69.6% compared to 52.0% in Sugar land.
- The poverty level is higher in Sugar land at 6%, compared to 4% in Canton.
- Sugar land has a higher unemployment rate at 4.0% compared to 3.9% in Canton.
Demographics
Demographics Canton vs Sugar land provide insight into the diversity of the communities to compare.
Demographic | Canton | Sugar land |
---|---|---|
Black | 1.2 | 7 |
White | 85.3 | 33 |
Asian | 11.5 | 39 |
Hispanic | 2.0 | 13 |
Two or More Races | 4.5 | 8 |
American Indian | 0.2 | Data is updating |
Demographics Comparison: Canton vs Sugar land
- In Sugar land, the percentage of Black residents is higher at 7% compared to 1.2% in Canton.
- Canton has a higher percentage of White residents at 85.3% compared to 33% in Sugar land.
- In Sugar land, the Asian population stands at 39%, greater than 11.5% in Canton.
- Sugar land has a higher percentage of Hispanic residents at 13%, compared to 2.0% in Canton.
- The percentage of residents identifying as two or more races is higher in Sugar land at 8%, compared to 4.5% in Canton.
- A greater percentage of American Indian residents live in Canton at 0.2% compared to 0% in Sugar land.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Canton | Sugar land |
---|---|---|
Mental Health Not Good | Data is updating% | 12.5% |
Physical Health Not Good | Data is updating% | 7.4% |
Depression | Data is updating% | 16.9% |
Smoking | Data is updating% | 9.6% |
Binge Drinking | Data is updating% | 16.0% |
Obesity | Data is updating% | 25.0% |
Disability Percentage | Data is updating% | 7.0% |
Health Statistics Comparison: Canton vs Sugar land
- In Sugar land, a higher percentage report poor mental health at 12.5% compared to 0.0% in Canton.
- Higher depression rates are seen in Sugar land at 16.9% versus 0.0% in Canton.
- Sugar land has a higher smoking rate at 9.6% compared to 0.0% in Canton.
- More residents engage in binge drinking in Sugar land at 16.0% compared to 0.0% in Canton.
- Sugar land has higher obesity rates at 25.0% compared to 0.0% in Canton.
- There is a higher percentage of disabled individuals in Sugar land at 7.0% compared to 0.0% in Canton.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Canton | Sugar land |
---|---|---|
No Schooling | 0.0% (Data is updating) | 1.2% (1,314) |
High School Diploma | 0.0% (Data is updating) | 7.3% (7,972) |
Less than High School | 0.0% (Data is updating) | 4.3% (4,753) |
Bachelor's Degree and Higher | 0.0% (Data is updating) | 42.8% (46,851) |
Education Levels Comparison: Canton vs Sugar land
- In Sugar land, a larger percentage of residents lack formal schooling at 1.2% compared to 0.0% in Canton.
- In Sugar land, the rate of residents with high school diplomas is higher at 7.3% compared to 0.0% in Canton.
- The percentage of residents with less than a high school education is higher in Sugar land at 4.3%, compared to 0.0% in Canton.
- In Sugar land, a larger share of residents have a bachelor's degree or higher at 42.8% compared to 0.0% in Canton.
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.