Demographics details for Rachel, WV vs Manteca, CA
Population Overview
Compare main population characteristics in Rachel, WV vs Manteca, CA.
| Data | Rachel | Manteca |
|---|---|---|
| Population | 232 | 86,928 |
| Median Age | 23.7 years | 37.0 years |
| Median Income | $25,583 | $89,966 |
| Married Families | 17.0% | 38.0% |
| Poverty Level | 12% | 10% |
| Unemployment Rate | 4.5 | 5.7 |
Population Comparison: Rachel vs Manteca
- The population in Manteca is higher at 86,928, compared to 232 in Rachel.
- The median age in Manteca is higher at 37.0 years, compared to 23.7 years in Rachel.
- Manteca has a higher median income of $89,966, compared to $25,583 in Rachel.
- In Manteca, the percentage of married families is higher at 38.0%, compared to 17.0% in Rachel.
- Rachel has a higher poverty level at 12% compared to 10% in Manteca.
- Manteca has a higher unemployment rate at 5.7% compared to 4.5% in Rachel.
Demographics
Demographics Rachel vs Manteca provide insight into the diversity of the communities to compare.
| Demographic | Rachel | Manteca |
|---|---|---|
| Black | Data is updating | 3 |
| White | 100 | 26 |
| Asian | Data is updating | 14 |
| Hispanic | Data is updating | 39 |
| Two or More Races | Data is updating | 17 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Rachel vs Manteca
- In Manteca, the percentage of Black residents is higher at 3% compared to 0% in Rachel.
- Rachel has a higher percentage of White residents at 100% compared to 26% in Manteca.
- In Manteca, the Asian population stands at 14%, greater than 0% in Rachel.
- Manteca has a higher percentage of Hispanic residents at 39%, compared to 0% in Rachel.
- The percentage of residents identifying as two or more races is higher in Manteca at 17%, compared to 0% in Rachel.
- In Manteca, the percentage of American Indian residents is higher at 1%, compared to 0% in Rachel.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Rachel | Manteca |
|---|---|---|
| Mental Health Not Good | 20.8% | 16.6% |
| Physical Health Not Good | 14.8% | 11.8% |
| Depression | 28.5% | 18.2% |
| Smoking | 24.1% | 13.8% |
| Binge Drinking | 14.7% | 16.6% |
| Obesity | 39.7% | 34.1% |
| Disability Percentage | 16.0% | 12.0% |
Health Statistics Comparison: Rachel vs Manteca
- More residents in Rachel report poor mental health at 20.8% compared to 16.6% in Manteca.
- Depression is more prevalent in Rachel at 28.5% compared to 18.2% in Manteca.
- Smoking is more prevalent in Rachel at 24.1% compared to 13.8% in Manteca.
- More residents engage in binge drinking in Manteca at 16.6% compared to 14.7% in Rachel.
- Obesity rates are higher in Rachel at 39.7% compared to 34.1% in Manteca.
- Disability percentages are higher in Rachel at 16.0% compared to 12.0% in Manteca.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Rachel | Manteca |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 1.7% (1,490) |
| High School Diploma | 34.9% (81) | 17.0% (14,775) |
| Less than High School | 0.0% (Data is updating) | 16.5% (14,304) |
| Bachelor's Degree and Higher | 9.1% (21) | 12.4% (10,753) |
Education Levels Comparison: Rachel vs Manteca
- In Manteca, a larger percentage of residents lack formal schooling at 1.7% compared to 0.0% in Rachel.
- A higher percentage of residents in Rachel hold a high school diploma at 34.9% compared to 17.0% in Manteca.
- The percentage of residents with less than a high school education is higher in Manteca at 16.5%, compared to 0.0% in Rachel.
- In Manteca, a larger share of residents have a bachelor's degree or higher at 12.4% compared to 9.1% in Rachel.
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.