Demographics details for Manteca, CA vs Webster, FL
Population Overview
Compare main population characteristics in Manteca, CA vs Webster, FL.
| Data | Manteca | Webster |
|---|---|---|
| Population | 86,928 | 878 |
| Median Age | 37.0 years | 42.4 years |
| Median Income | $89,966 | $53,125 |
| Married Families | 38.0% | 35.0% |
| Poverty Level | 10% | 12% |
| Unemployment Rate | 5.7 | 3.5 |
Population Comparison: Manteca vs Webster
- In Manteca, the population is higher at 86,928, compared to 878 in Webster.
- The median age in Webster is higher at 42.4 years, compared to 37.0 years in Manteca.
- Manteca has a higher median income of $89,966 compared to $53,125 in Webster.
- A higher percentage of married families is found in Manteca at 38.0% compared to 35.0% in Webster.
- The poverty level is higher in Webster at 12%, compared to 10% in Manteca.
- The unemployment rate in Manteca is higher at 5.7%, compared to 3.5% in Webster.
Demographics
Demographics Manteca vs Webster provide insight into the diversity of the communities to compare.
| Demographic | Manteca | Webster |
|---|---|---|
| Black | 3 | 15 |
| White | 26 | 75 |
| Asian | 14 | Data is updating |
| Hispanic | 39 | 62 |
| Two or More Races | 17 | 31 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Manteca vs Webster
- In Webster, the percentage of Black residents is higher at 15% compared to 3% in Manteca.
- The percentage of White residents is higher in Webster at 75% compared to 26% in Manteca.
- The Asian population is larger in Manteca at 14% compared to 0% in Webster.
- Webster has a higher percentage of Hispanic residents at 62%, compared to 39% in Manteca.
- The percentage of residents identifying as two or more races is higher in Webster at 31%, compared to 17% in Manteca.
- A greater percentage of American Indian residents live in Manteca at 1% compared to 0% in Webster.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Manteca | Webster |
|---|---|---|
| Mental Health Not Good | 16.6% | 18.9% |
| Physical Health Not Good | 11.8% | 15.6% |
| Depression | 18.2% | 20.6% |
| Smoking | 13.8% | 26.9% |
| Binge Drinking | 16.6% | 14.7% |
| Obesity | 34.1% | 42.4% |
| Disability Percentage | 12.0% | 19.0% |
Health Statistics Comparison: Manteca vs Webster
- In Webster, a higher percentage report poor mental health at 18.9% compared to 16.6% in Manteca.
- Higher depression rates are seen in Webster at 20.6% versus 18.2% in Manteca.
- Webster has a higher smoking rate at 26.9% compared to 13.8% in Manteca.
- Binge drinking is more common in Manteca at 16.6% compared to 14.7% in Webster.
- Webster has higher obesity rates at 42.4% compared to 34.1% in Manteca.
- There is a higher percentage of disabled individuals in Webster at 19.0% 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 | Manteca | Webster |
|---|---|---|
| No Schooling | 1.7% (1,490) | 5.8% (51) |
| High School Diploma | 17.0% (14,775) | 32.9% (289) |
| Less than High School | 16.5% (14,304) | 36.4% (320) |
| Bachelor's Degree and Higher | 12.4% (10,753) | 9.3% (82) |
Education Levels Comparison: Manteca vs Webster
- In Webster, a larger percentage of residents lack formal schooling at 5.8% compared to 1.7% in Manteca.
- In Webster, the rate of residents with high school diplomas is higher at 32.9% compared to 17.0% in Manteca.
- The percentage of residents with less than a high school education is higher in Webster at 36.4%, compared to 16.5% in Manteca.
- A higher percentage of residents in Manteca hold a bachelor's degree or higher at 12.4% compared to 9.3% in Webster.
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.