Demographics details for Santa clarita, CA vs Sugar grove, PA
Population Overview
Compare main population characteristics in Santa clarita, CA vs Sugar grove, PA.
Data | Santa clarita | Sugar grove |
---|---|---|
Population | 221,345 | 546 |
Median Age | 37.3 years | 42.2 years |
Median Income | $116,186 | $68,056 |
Married Families | 43.0% | 53.0% |
Poverty Level | 8% | 8% |
Unemployment Rate | 5.7 | 4.2 |
Population Comparison: Santa clarita vs Sugar grove
- In Santa clarita, the population is higher at 221,345, compared to 546 in Sugar grove.
- The median age in Sugar grove is higher at 42.2 years, compared to 37.3 years in Santa clarita.
- Santa clarita has a higher median income of $116,186 compared to $68,056 in Sugar grove.
- In Sugar grove, the percentage of married families is higher at 53.0%, compared to 43.0% in Santa clarita.
- The poverty level is identical in both Santa clarita and Sugar grove at 8%.
- The unemployment rate in Santa clarita is higher at 5.7%, compared to 4.2% in Sugar grove.
Demographics
Demographics Santa clarita vs Sugar grove provide insight into the diversity of the communities to compare.
Demographic | Santa clarita | Sugar grove |
---|---|---|
Black | 4 | 1 |
White | 30 | 79 |
Asian | 11 | Data is updating |
Hispanic | 37 | 6 |
Two or More Races | 17 | 14 |
American Indian | 1 | Data is updating |
Demographics Comparison: Santa clarita vs Sugar grove
- A higher percentage of Black residents are in Santa clarita at 4% compared to 1% in Sugar grove.
- The percentage of White residents is higher in Sugar grove at 79% compared to 30% in Santa clarita.
- The Asian population is larger in Santa clarita at 11% compared to 0% in Sugar grove.
- The Hispanic community is larger in Santa clarita at 37% compared to 6% in Sugar grove.
- More residents identify as two or more races in Santa clarita at 17% compared to 14% in Sugar grove.
- A greater percentage of American Indian residents live in Santa clarita at 1% compared to 0% in Sugar grove.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Santa clarita | Sugar grove |
---|---|---|
Mental Health Not Good | 14.7% | 18.3% |
Physical Health Not Good | 9.6% | 13.2% |
Depression | 16.8% | 23.5% |
Smoking | 9.7% | 22.8% |
Binge Drinking | 17.1% | 18.2% |
Obesity | 26.2% | 38.8% |
Disability Percentage | 10.0% | 10.0% |
Health Statistics Comparison: Santa clarita vs Sugar grove
- In Sugar grove, a higher percentage report poor mental health at 18.3% compared to 14.7% in Santa clarita.
- Higher depression rates are seen in Sugar grove at 23.5% versus 16.8% in Santa clarita.
- Sugar grove has a higher smoking rate at 22.8% compared to 9.7% in Santa clarita.
- More residents engage in binge drinking in Sugar grove at 18.2% compared to 17.1% in Santa clarita.
- Sugar grove has higher obesity rates at 38.8% compared to 26.2% in Santa clarita.
- Disability percentages are the same in both Santa clarita and Sugar grove at 10.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Santa clarita | Sugar grove |
---|---|---|
No Schooling | 1.4% (3,097) | 1.5% (8) |
High School Diploma | 10.7% (23,725) | 28.2% (154) |
Less than High School | 11.7% (25,882) | 6.2% (34) |
Bachelor's Degree and Higher | 26.1% (57,684) | 13.0% (71) |
Education Levels Comparison: Santa clarita vs Sugar grove
- In Sugar grove, a larger percentage of residents lack formal schooling at 1.5% compared to 1.4% in Santa clarita.
- In Sugar grove, the rate of residents with high school diplomas is higher at 28.2% compared to 10.7% in Santa clarita.
- More residents in Santa clarita have less than a high school education at 11.7% compared to 6.2% in Sugar grove.
- A higher percentage of residents in Santa clarita hold a bachelor's degree or higher at 26.1% compared to 13.0% in Sugar grove.
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.