Demographics details for Kingman, AZ vs Manteca, CA
Population Overview
Compare main population characteristics in Kingman, AZ vs Manteca, CA.
Data | Kingman | Manteca |
---|---|---|
Population | 34,918 | 86,928 |
Median Age | 42.1 years | 37.0 years |
Median Income | $56,360 | $89,966 |
Married Families | 37.0% | 38.0% |
Poverty Level | 12% | 10% |
Unemployment Rate | 4.2 | 5.7 |
Population Comparison: Kingman vs Manteca
- The population in Manteca is higher at 86,928, compared to 34,918 in Kingman.
- Residents in Kingman have a higher median age of 42.1 years compared to 37.0 years in Manteca.
- Manteca has a higher median income of $89,966, compared to $56,360 in Kingman.
- In Manteca, the percentage of married families is higher at 38.0%, compared to 37.0% in Kingman.
- Kingman has a higher poverty level at 12% compared to 10% in Manteca.
- Manteca has a higher unemployment rate at 5.7% compared to 4.2% in Kingman.
Demographics
Demographics Kingman vs Manteca provide insight into the diversity of the communities to compare.
Demographic | Kingman | Manteca |
---|---|---|
Black | 2 | 3 |
White | 72 | 26 |
Asian | 2 | 14 |
Hispanic | 16 | 39 |
Two or More Races | 7 | 17 |
American Indian | 1 | 1 |
Demographics Comparison: Kingman vs Manteca
- In Manteca, the percentage of Black residents is higher at 3% compared to 2% in Kingman.
- Kingman has a higher percentage of White residents at 72% compared to 26% in Manteca.
- In Manteca, the Asian population stands at 14%, greater than 2% in Kingman.
- Manteca has a higher percentage of Hispanic residents at 39%, compared to 16% in Kingman.
- The percentage of residents identifying as two or more races is higher in Manteca at 17%, compared to 7% in Kingman.
- The percentage of American Indian residents is the same in both Kingman and Manteca at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Kingman | Manteca |
---|---|---|
Mental Health Not Good | 18.2% | 16.6% |
Physical Health Not Good | 12.4% | 11.8% |
Depression | 21.2% | 18.2% |
Smoking | 19.1% | 13.8% |
Binge Drinking | 18.5% | 16.6% |
Obesity | 34.5% | 34.1% |
Disability Percentage | 18.0% | 12.0% |
Health Statistics Comparison: Kingman vs Manteca
- More residents in Kingman report poor mental health at 18.2% compared to 16.6% in Manteca.
- Depression is more prevalent in Kingman at 21.2% compared to 18.2% in Manteca.
- Smoking is more prevalent in Kingman at 19.1% compared to 13.8% in Manteca.
- Binge drinking is more common in Kingman at 18.5% compared to 16.6% in Manteca.
- Obesity rates are higher in Kingman at 34.5% compared to 34.1% in Manteca.
- Disability percentages are higher in Kingman at 18.0% 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 | Kingman | Manteca |
---|---|---|
No Schooling | 0.8% (266) | 1.7% (1,490) |
High School Diploma | 15.7% (5,487) | 17.0% (14,775) |
Less than High School | 13.6% (4,744) | 16.5% (14,304) |
Bachelor's Degree and Higher | 13.7% (4,777) | 12.4% (10,753) |
Education Levels Comparison: Kingman vs Manteca
- In Manteca, a larger percentage of residents lack formal schooling at 1.7% compared to 0.8% in Kingman.
- In Manteca, the rate of residents with high school diplomas is higher at 17.0% compared to 15.7% in Kingman.
- The percentage of residents with less than a high school education is higher in Manteca at 16.5%, compared to 13.6% in Kingman.
- A higher percentage of residents in Kingman hold a bachelor's degree or higher at 13.7% compared to 12.4% in Manteca.
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.