Demographics details for Washington, LA vs Manteca, CA
Population Overview
Compare main population characteristics in Washington, LA vs Manteca, CA.
| Data | Washington | Manteca |
|---|---|---|
| Population | 726 | 86,928 |
| Median Age | 26.6 years | 37.0 years |
| Median Income | $36,719 | $89,966 |
| Married Families | 23.0% | 38.0% |
| Poverty Level | 15% | 10% |
| Unemployment Rate | 5.2 | 5.7 |
Population Comparison: Washington vs Manteca
- The population in Manteca is higher at 86,928, compared to 726 in Washington.
- The median age in Manteca is higher at 37.0 years, compared to 26.6 years in Washington.
- Manteca has a higher median income of $89,966, compared to $36,719 in Washington.
- In Manteca, the percentage of married families is higher at 38.0%, compared to 23.0% in Washington.
- Washington has a higher poverty level at 15% compared to 10% in Manteca.
- Manteca has a higher unemployment rate at 5.7% compared to 5.2% in Washington.
Demographics
Demographics Washington vs Manteca provide insight into the diversity of the communities to compare.
| Demographic | Washington | Manteca |
|---|---|---|
| Black | 65 | 3 |
| White | 20 | 26 |
| Asian | Data is updating | 14 |
| Hispanic | 3 | 39 |
| Two or More Races | 12 | 17 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Washington vs Manteca
- A higher percentage of Black residents are in Washington at 65% compared to 3% in Manteca.
- The percentage of White residents is higher in Manteca at 26% compared to 20% in Washington.
- In Manteca, the Asian population stands at 14%, greater than 0% in Washington.
- Manteca has a higher percentage of Hispanic residents at 39%, compared to 3% in Washington.
- The percentage of residents identifying as two or more races is higher in Manteca at 17%, compared to 12% in Washington.
- In Manteca, the percentage of American Indian residents is higher at 1%, compared to 0% in Washington.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Washington | Manteca |
|---|---|---|
| Mental Health Not Good | 21.1% | 16.6% |
| Physical Health Not Good | 15.3% | 11.8% |
| Depression | 25.5% | 18.2% |
| Smoking | 26.0% | 13.8% |
| Binge Drinking | 15.1% | 16.6% |
| Obesity | 41.5% | 34.1% |
| Disability Percentage | 9.0% | 12.0% |
Health Statistics Comparison: Washington vs Manteca
- More residents in Washington report poor mental health at 21.1% compared to 16.6% in Manteca.
- Depression is more prevalent in Washington at 25.5% compared to 18.2% in Manteca.
- Smoking is more prevalent in Washington at 26.0% compared to 13.8% in Manteca.
- More residents engage in binge drinking in Manteca at 16.6% compared to 15.1% in Washington.
- Obesity rates are higher in Washington at 41.5% compared to 34.1% in Manteca.
- There is a higher percentage of disabled individuals in Manteca at 12.0% compared to 9.0% in Washington.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Washington | Manteca |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 1.7% (1,490) |
| High School Diploma | 20.2% (147) | 17.0% (14,775) |
| Less than High School | 27.7% (201) | 16.5% (14,304) |
| Bachelor's Degree and Higher | 7.3% (53) | 12.4% (10,753) |
Education Levels Comparison: Washington vs Manteca
- In Manteca, a larger percentage of residents lack formal schooling at 1.7% compared to 0.0% in Washington.
- A higher percentage of residents in Washington hold a high school diploma at 20.2% compared to 17.0% in Manteca.
- More residents in Washington have less than a high school education at 27.7% compared to 16.5% in Manteca.
- In Manteca, a larger share of residents have a bachelor's degree or higher at 12.4% compared to 7.3% in Washington.
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.