Demographics details for Kerman, CA vs Sugar grove, PA
Population Overview
Compare main population characteristics in Kerman, CA vs Sugar grove, PA.
| Data | Kerman | Sugar grove |
|---|---|---|
| Population | 16,208 | 546 |
| Median Age | 27.8 years | 42.2 years |
| Median Income | $53,956 | $68,056 |
| Married Families | 32.0% | 53.0% |
| Poverty Level | 12% | 8% |
| Unemployment Rate | 5.5 | 4.2 |
Population Comparison: Kerman vs Sugar grove
- In Kerman, the population is higher at 16,208, compared to 546 in Sugar grove.
- The median age in Sugar grove is higher at 42.2 years, compared to 27.8 years in Kerman.
- Sugar grove has a higher median income of $68,056, compared to $53,956 in Kerman.
- In Sugar grove, the percentage of married families is higher at 53.0%, compared to 32.0% in Kerman.
- Kerman has a higher poverty level at 12% compared to 8% in Sugar grove.
- The unemployment rate in Kerman is higher at 5.5%, compared to 4.2% in Sugar grove.
Demographics
Demographics Kerman vs Sugar grove provide insight into the diversity of the communities to compare.
| Demographic | Kerman | Sugar grove |
|---|---|---|
| Black | Data is updating | 1 |
| White | -12 | 79 |
| Asian | 7 | Data is updating |
| Hispanic | 81 | 6 |
| Two or More Races | 22 | 14 |
| American Indian | 2 | Data is updating |
Demographics Comparison: Kerman vs Sugar grove
- In Sugar grove, the percentage of Black residents is higher at 1% compared to 0% in Kerman.
- The percentage of White residents is higher in Sugar grove at 79% compared to -12% in Kerman.
- The Asian population is larger in Kerman at 7% compared to 0% in Sugar grove.
- The Hispanic community is larger in Kerman at 81% compared to 6% in Sugar grove.
- More residents identify as two or more races in Kerman at 22% compared to 14% in Sugar grove.
- A greater percentage of American Indian residents live in Kerman at 2% compared to 0% in Sugar grove.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Kerman | Sugar grove |
|---|---|---|
| Mental Health Not Good | 18.7% | 18.3% |
| Physical Health Not Good | 15.8% | 13.2% |
| Depression | 18.0% | 23.5% |
| Smoking | 17.3% | 22.8% |
| Binge Drinking | 13.1% | 18.2% |
| Obesity | 39.5% | 38.8% |
| Disability Percentage | 11.0% | 10.0% |
Health Statistics Comparison: Kerman vs Sugar grove
- More residents in Kerman report poor mental health at 18.7% compared to 18.3% in Sugar grove.
- Higher depression rates are seen in Sugar grove at 23.5% versus 18.0% in Kerman.
- Sugar grove has a higher smoking rate at 22.8% compared to 17.3% in Kerman.
- More residents engage in binge drinking in Sugar grove at 18.2% compared to 13.1% in Kerman.
- Obesity rates are higher in Kerman at 39.5% compared to 38.8% in Sugar grove.
- Disability percentages are higher in Kerman at 11.0% compared to 10.0% in Sugar grove.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Kerman | Sugar grove |
|---|---|---|
| No Schooling | 4.3% (694) | 1.5% (8) |
| High School Diploma | 10.4% (1,690) | 28.2% (154) |
| Less than High School | 45.2% (7,334) | 6.2% (34) |
| Bachelor's Degree and Higher | 7.3% (1,177) | 13.0% (71) |
Education Levels Comparison: Kerman vs Sugar grove
- A higher percentage of residents in Kerman have no formal schooling at 4.3% compared to 1.5% in Sugar grove.
- In Sugar grove, the rate of residents with high school diplomas is higher at 28.2% compared to 10.4% in Kerman.
- More residents in Kerman have less than a high school education at 45.2% compared to 6.2% in Sugar grove.
- In Sugar grove, a larger share of residents have a bachelor's degree or higher at 13.0% compared to 7.3% in Kerman.
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.