Demographics details for White plains, NY vs Sugar land, TX
Population Overview
Compare main population characteristics in White plains, NY vs Sugar land, TX.
| Data | White plains | Sugar land |
|---|---|---|
| Population | 59,316 | 109,414 |
| Median Age | 41.4 years | 42.5 years |
| Median Income | $109,551 | $132,247 |
| Married Families | 40.0% | 52.0% |
| Poverty Level | 6% | 6% |
| Unemployment Rate | 3.2 | 4.0 |
Population Comparison: White plains vs Sugar land
- The population in Sugar land is higher at 109,414, compared to 59,316 in White plains.
- The median age in Sugar land is higher at 42.5 years, compared to 41.4 years in White plains.
- Sugar land has a higher median income of $132,247, compared to $109,551 in White plains.
- In Sugar land, the percentage of married families is higher at 52.0%, compared to 40.0% in White plains.
- The poverty level is identical in both White plains and Sugar land at 6%.
- Sugar land has a higher unemployment rate at 4.0% compared to 3.2% in White plains.
Demographics
Demographics White plains vs Sugar land provide insight into the diversity of the communities to compare.
| Demographic | White plains | Sugar land |
|---|---|---|
| Black | 13 | 7 |
| White | 39 | 33 |
| Asian | 8 | 39 |
| Hispanic | 31 | 13 |
| Two or More Races | 9 | 8 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: White plains vs Sugar land
- A higher percentage of Black residents are in White plains at 13% compared to 7% in Sugar land.
- White plains 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 8% in White plains.
- The Hispanic community is larger in White plains at 31% compared to 13% in Sugar land.
- More residents identify as two or more races in White plains at 9% compared to 8% in Sugar land.
- The percentage of American Indian residents is the same in both White plains and Sugar land at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | White plains | Sugar land |
|---|---|---|
| Mental Health Not Good | 13.1% | 12.5% |
| Physical Health Not Good | 9.1% | 7.4% |
| Depression | 17.7% | 16.9% |
| Smoking | 11.7% | 9.6% |
| Binge Drinking | 15.9% | 16.0% |
| Obesity | 28.4% | 25.0% |
| Disability Percentage | 10.0% | 7.0% |
Health Statistics Comparison: White plains vs Sugar land
- More residents in White plains report poor mental health at 13.1% compared to 12.5% in Sugar land.
- Depression is more prevalent in White plains at 17.7% compared to 16.9% in Sugar land.
- Smoking is more prevalent in White plains at 11.7% compared to 9.6% in Sugar land.
- More residents engage in binge drinking in Sugar land at 16.0% compared to 15.9% in White plains.
- Obesity rates are higher in White plains at 28.4% compared to 25.0% in Sugar land.
- Disability percentages are higher in White plains at 10.0% 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 | White plains | Sugar land |
|---|---|---|
| No Schooling | 1.0% (566) | 1.2% (1,314) |
| High School Diploma | 11.6% (6,853) | 7.3% (7,972) |
| Less than High School | 14.7% (8,744) | 4.3% (4,753) |
| Bachelor's Degree and Higher | 39.0% (23,145) | 42.8% (46,851) |
Education Levels Comparison: White plains vs Sugar land
- In Sugar land, a larger percentage of residents lack formal schooling at 1.2% compared to 1.0% in White plains.
- A higher percentage of residents in White plains hold a high school diploma at 11.6% compared to 7.3% in Sugar land.
- More residents in White plains have less than a high school education at 14.7% 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 39.0% in White plains.
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.