Demographics details for Manteca, CA vs Reading, PA
Population Overview
Compare main population characteristics in Manteca, CA vs Reading, PA.
Data | Manteca | Reading |
---|---|---|
Population | 86,928 | 94,858 |
Median Age | 37.0 years | 31.1 years |
Median Income | $89,966 | $42,852 |
Married Families | 38.0% | 22.0% |
Poverty Level | 10% | 25% |
Unemployment Rate | 5.7 | 5.2 |
Population Comparison: Manteca vs Reading
- The population in Reading is higher at 94,858, compared to 86,928 in Manteca.
- Residents in Manteca have a higher median age of 37.0 years compared to 31.1 years in Reading.
- Manteca has a higher median income of $89,966 compared to $42,852 in Reading.
- A higher percentage of married families is found in Manteca at 38.0% compared to 22.0% in Reading.
- The poverty level is higher in Reading at 25%, compared to 10% in Manteca.
- The unemployment rate in Manteca is higher at 5.7%, compared to 5.2% in Reading.
Demographics
Demographics Manteca vs Reading provide insight into the diversity of the communities to compare.
Demographic | Manteca | Reading |
---|---|---|
Black | 3 | 11 |
White | 26 | 60 |
Asian | 14 | 1 |
Hispanic | 39 | 67 |
Two or More Races | 17 | 21 |
American Indian | 1 | 1 |
Demographics Comparison: Manteca vs Reading
- In Reading, the percentage of Black residents is higher at 11% compared to 3% in Manteca.
- The percentage of White residents is higher in Reading at 60% compared to 26% in Manteca.
- The Asian population is larger in Manteca at 14% compared to 1% in Reading.
- Reading has a higher percentage of Hispanic residents at 67%, compared to 39% in Manteca.
- The percentage of residents identifying as two or more races is higher in Reading at 21%, compared to 17% in Manteca.
- The percentage of American Indian residents is the same in both Manteca and Reading at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Manteca | Reading |
---|---|---|
Mental Health Not Good | 16.6% | 19.7% |
Physical Health Not Good | 11.8% | 18.1% |
Depression | 18.2% | 23.1% |
Smoking | 13.8% | 26.5% |
Binge Drinking | 16.6% | 13.0% |
Obesity | 34.1% | 44.7% |
Disability Percentage | 12.0% | 20.0% |
Health Statistics Comparison: Manteca vs Reading
- In Reading, a higher percentage report poor mental health at 19.7% compared to 16.6% in Manteca.
- Higher depression rates are seen in Reading at 23.1% versus 18.2% in Manteca.
- Reading has a higher smoking rate at 26.5% compared to 13.8% in Manteca.
- Binge drinking is more common in Manteca at 16.6% compared to 13.0% in Reading.
- Reading has higher obesity rates at 44.7% compared to 34.1% in Manteca.
- There is a higher percentage of disabled individuals in Reading at 20.0% 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 | Reading |
---|---|---|
No Schooling | 1.7% (1,490) | 2.6% (2,442) |
High School Diploma | 17.0% (14,775) | 17.8% (16,896) |
Less than High School | 16.5% (14,304) | 32.2% (30,522) |
Bachelor's Degree and Higher | 12.4% (10,753) | 6.9% (6,512) |
Education Levels Comparison: Manteca vs Reading
- In Reading, a larger percentage of residents lack formal schooling at 2.6% compared to 1.7% in Manteca.
- In Reading, the rate of residents with high school diplomas is higher at 17.8% compared to 17.0% in Manteca.
- The percentage of residents with less than a high school education is higher in Reading at 32.2%, 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 6.9% in Reading.
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.