Demographics details for Sugar land, TX vs Princeton, LA
Population Overview
Compare main population characteristics in Sugar land, TX vs Princeton, LA.
| Data | Sugar land | Princeton |
|---|---|---|
| Population | 109,414 | 1,554 |
| Median Age | 42.5 years | 36.0 years |
| Median Income | $132,247 | $48,500 |
| Married Families | 52.0% | 52.0% |
| Poverty Level | 6% | 15% |
| Unemployment Rate | 4.0 | 6.0 |
Population Comparison: Sugar land vs Princeton
- In Sugar land, the population is higher at 109,414, compared to 1,554 in Princeton.
- Residents in Sugar land have a higher median age of 42.5 years compared to 36.0 years in Princeton.
- Sugar land has a higher median income of $132,247 compared to $48,500 in Princeton.
- The percentage of married families is the same in both Sugar land and Princeton at 52.0%.
- The poverty level is higher in Princeton at 15%, compared to 6% in Sugar land.
- Princeton has a higher unemployment rate at 6.0% compared to 4.0% in Sugar land.
Demographics
Demographics Sugar land vs Princeton provide insight into the diversity of the communities to compare.
| Demographic | Sugar land | Princeton |
|---|---|---|
| Black | 7 | 50 |
| White | 33 | 48 |
| Asian | 39 | Data is updating |
| Hispanic | 13 | 2 |
| Two or More Races | 8 | Data is updating |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Sugar land vs Princeton
- In Princeton, the percentage of Black residents is higher at 50% compared to 7% in Sugar land.
- The percentage of White residents is higher in Princeton at 48% compared to 33% in Sugar land.
- The Asian population is larger in Sugar land at 39% compared to 0% in Princeton.
- The Hispanic community is larger in Sugar land at 13% compared to 2% in Princeton.
- More residents identify as two or more races in Sugar land at 8% compared to 0% in Princeton.
- The percentage of American Indian residents is the same in both Sugar land and Princeton at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Sugar land | Princeton |
|---|---|---|
| Mental Health Not Good | 12.5% | Data is updating% |
| Physical Health Not Good | 7.4% | Data is updating% |
| Depression | 16.9% | Data is updating% |
| Smoking | 9.6% | Data is updating% |
| Binge Drinking | 16.0% | Data is updating% |
| Obesity | 25.0% | Data is updating% |
| Disability Percentage | 7.0% | Data is updating% |
Health Statistics Comparison: Sugar land vs Princeton
- More residents in Sugar land report poor mental health at 12.5% compared to 0.0% in Princeton.
- Depression is more prevalent in Sugar land at 16.9% compared to 0.0% in Princeton.
- Smoking is more prevalent in Sugar land at 9.6% compared to 0.0% in Princeton.
- Binge drinking is more common in Sugar land at 16.0% compared to 0.0% in Princeton.
- Obesity rates are higher in Sugar land at 25.0% compared to 0.0% in Princeton.
- Disability percentages are higher in Sugar land at 7.0% compared to 0.0% in Princeton.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Sugar land | Princeton |
|---|---|---|
| No Schooling | 1.2% (1,314) | 0.0% (Data is updating) |
| High School Diploma | 7.3% (7,972) | 0.0% (Data is updating) |
| Less than High School | 4.3% (4,753) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 42.8% (46,851) | 0.0% (Data is updating) |
Education Levels Comparison: Sugar land vs Princeton
- A higher percentage of residents in Sugar land have no formal schooling at 1.2% compared to 0.0% in Princeton.
- A higher percentage of residents in Sugar land hold a high school diploma at 7.3% compared to 0.0% in Princeton.
- More residents in Sugar land have less than a high school education at 4.3% compared to 0.0% in Princeton.
- A higher percentage of residents in Sugar land hold a bachelor's degree or higher at 42.8% compared to 0.0% in Princeton.
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.