Demographics details for Sugar land, TX vs Santa monica, CA
Population Overview
Compare main population characteristics in Sugar land, TX vs Santa monica, CA.
| Data | Sugar land | Santa monica |
|---|---|---|
| Population | 109,414 | 89,947 |
| Median Age | 42.5 years | 42.1 years |
| Median Income | $132,247 | $106,797 |
| Married Families | 52.0% | 35.0% |
| Poverty Level | 6% | 11% |
| Unemployment Rate | 4.0 | 5.8 |
Population Comparison: Sugar land vs Santa monica
- In Sugar land, the population is higher at 109,414, compared to 89,947 in Santa monica.
- Residents in Sugar land have a higher median age of 42.5 years compared to 42.1 years in Santa monica.
- Sugar land has a higher median income of $132,247 compared to $106,797 in Santa monica.
- A higher percentage of married families is found in Sugar land at 52.0% compared to 35.0% in Santa monica.
- The poverty level is higher in Santa monica at 11%, compared to 6% in Sugar land.
- Santa monica has a higher unemployment rate at 5.8% compared to 4.0% in Sugar land.
Demographics
Demographics Sugar land vs Santa monica provide insight into the diversity of the communities to compare.
| Demographic | Sugar land | Santa monica |
|---|---|---|
| Black | 7 | 5 |
| White | 33 | 55 |
| Asian | 39 | 9 |
| Hispanic | 13 | 18 |
| Two or More Races | 8 | 12 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Sugar land vs Santa monica
- A higher percentage of Black residents are in Sugar land at 7% compared to 5% in Santa monica.
- The percentage of White residents is higher in Santa monica at 55% compared to 33% in Sugar land.
- The Asian population is larger in Sugar land at 39% compared to 9% in Santa monica.
- Santa monica has a higher percentage of Hispanic residents at 18%, compared to 13% in Sugar land.
- The percentage of residents identifying as two or more races is higher in Santa monica at 12%, compared to 8% in Sugar land.
- In Santa monica, 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 | Santa monica |
|---|---|---|
| Mental Health Not Good | 12.5% | 13.5% |
| Physical Health Not Good | 7.4% | 8.1% |
| Depression | 16.9% | 16.6% |
| Smoking | 9.6% | 7.5% |
| Binge Drinking | 16.0% | 17.2% |
| Obesity | 25.0% | 24.1% |
| Disability Percentage | 7.0% | 9.0% |
Health Statistics Comparison: Sugar land vs Santa monica
- In Santa monica, a higher percentage report poor mental health at 13.5% compared to 12.5% in Sugar land.
- Depression is more prevalent in Sugar land at 16.9% compared to 16.6% in Santa monica.
- Smoking is more prevalent in Sugar land at 9.6% compared to 7.5% in Santa monica.
- More residents engage in binge drinking in Santa monica at 17.2% compared to 16.0% in Sugar land.
- Obesity rates are higher in Sugar land at 25.0% compared to 24.1% in Santa monica.
- There is a higher percentage of disabled individuals in Santa monica at 9.0% 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 | Santa monica |
|---|---|---|
| No Schooling | 1.2% (1,314) | 1.1% (950) |
| High School Diploma | 7.3% (7,972) | 6.2% (5,554) |
| Less than High School | 4.3% (4,753) | 7.9% (7,118) |
| Bachelor's Degree and Higher | 42.8% (46,851) | 55.4% (49,805) |
Education Levels Comparison: Sugar land vs Santa monica
- A higher percentage of residents in Sugar land have no formal schooling at 1.2% compared to 1.1% in Santa monica.
- A higher percentage of residents in Sugar land hold a high school diploma at 7.3% compared to 6.2% in Santa monica.
- The percentage of residents with less than a high school education is higher in Santa monica at 7.9%, compared to 4.3% in Sugar land.
- In Santa monica, a larger share of residents have a bachelor's degree or higher at 55.4% compared to 42.8% in Sugar land.
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.