Demographics details for Sugar land, TX vs Greeley, CO
Population Overview
Compare main population characteristics in Sugar land, TX vs Greeley, CO.
| Data | Sugar land | Greeley |
|---|---|---|
| Population | 109,414 | 109,209 |
| Median Age | 42.5 years | 31.9 years |
| Median Income | $132,247 | $65,525 |
| Married Families | 52.0% | 36.0% |
| Poverty Level | 6% | 12% |
| Unemployment Rate | 4.0 | 4.8 |
Population Comparison: Sugar land vs Greeley
- In Sugar land, the population is higher at 109,414, compared to 109,209 in Greeley.
- Residents in Sugar land have a higher median age of 42.5 years compared to 31.9 years in Greeley.
- Sugar land has a higher median income of $132,247 compared to $65,525 in Greeley.
- A higher percentage of married families is found in Sugar land at 52.0% compared to 36.0% in Greeley.
- The poverty level is higher in Greeley at 12%, compared to 6% in Sugar land.
- Greeley has a higher unemployment rate at 4.8% compared to 4.0% in Sugar land.
Demographics
Demographics Sugar land vs Greeley provide insight into the diversity of the communities to compare.
| Demographic | Sugar land | Greeley |
|---|---|---|
| Black | 7 | 3 |
| White | 33 | 45 |
| Asian | 39 | 1 |
| Hispanic | 13 | 39 |
| Two or More Races | 8 | 11 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Sugar land vs Greeley
- A higher percentage of Black residents are in Sugar land at 7% compared to 3% in Greeley.
- The percentage of White residents is higher in Greeley at 45% compared to 33% in Sugar land.
- The Asian population is larger in Sugar land at 39% compared to 1% in Greeley.
- Greeley has a higher percentage of Hispanic residents at 39%, compared to 13% in Sugar land.
- The percentage of residents identifying as two or more races is higher in Greeley at 11%, compared to 8% in Sugar land.
- In Greeley, the percentage of American Indian residents is higher at 1%, compared to 0% in Sugar land.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Sugar land | Greeley |
|---|---|---|
| Mental Health Not Good | 12.5% | 17.0% |
| Physical Health Not Good | 7.4% | 12.3% |
| Depression | 16.9% | 21.4% |
| Smoking | 9.6% | 16.5% |
| Binge Drinking | 16.0% | 16.7% |
| Obesity | 25.0% | 30.8% |
| Disability Percentage | 7.0% | 11.0% |
Health Statistics Comparison: Sugar land vs Greeley
- In Greeley, a higher percentage report poor mental health at 17.0% compared to 12.5% in Sugar land.
- Higher depression rates are seen in Greeley at 21.4% versus 16.9% in Sugar land.
- Greeley has a higher smoking rate at 16.5% compared to 9.6% in Sugar land.
- More residents engage in binge drinking in Greeley at 16.7% compared to 16.0% in Sugar land.
- Greeley has higher obesity rates at 30.8% compared to 25.0% in Sugar land.
- There is a higher percentage of disabled individuals in Greeley at 11.0% 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 | Greeley |
|---|---|---|
| No Schooling | 1.2% (1,314) | 2.2% (2,416) |
| High School Diploma | 7.3% (7,972) | 12.0% (13,106) |
| Less than High School | 4.3% (4,753) | 19.3% (21,128) |
| Bachelor's Degree and Higher | 42.8% (46,851) | 16.4% (17,877) |
Education Levels Comparison: Sugar land vs Greeley
- In Greeley, a larger percentage of residents lack formal schooling at 2.2% compared to 1.2% in Sugar land.
- In Greeley, the rate of residents with high school diplomas is higher at 12.0% compared to 7.3% in Sugar land.
- The percentage of residents with less than a high school education is higher in Greeley at 19.3%, compared to 4.3% in Sugar land.
- A higher percentage of residents in Sugar land hold a bachelor's degree or higher at 42.8% compared to 16.4% in Greeley.
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.