Demographics details for Monett, MO vs San dimas, CA
Population Overview
Compare main population characteristics in Monett, MO vs San dimas, CA.
Data | Monett | San dimas |
---|---|---|
Population | 9,789 | 33,535 |
Median Age | 34.7 years | 42.7 years |
Median Income | $42,635 | $102,241 |
Married Families | 33.0% | 44.0% |
Poverty Level | 15% | 9% |
Unemployment Rate | 3.8 | 5.2 |
Population Comparison: Monett vs San dimas
- The population in San dimas is higher at 33,535, compared to 9,789 in Monett.
- The median age in San dimas is higher at 42.7 years, compared to 34.7 years in Monett.
- San dimas has a higher median income of $102,241, compared to $42,635 in Monett.
- In San dimas, the percentage of married families is higher at 44.0%, compared to 33.0% in Monett.
- Monett has a higher poverty level at 15% compared to 9% in San dimas.
- San dimas has a higher unemployment rate at 5.2% compared to 3.8% in Monett.
Demographics
Demographics Monett vs San dimas provide insight into the diversity of the communities to compare.
Demographic | Monett | San dimas |
---|---|---|
Black | Data is updating | 3 |
White | 51 | 25 |
Asian | 2 | 16 |
Hispanic | 29 | 37 |
Two or More Races | 15 | 18 |
American Indian | 3 | 1 |
Demographics Comparison: Monett vs San dimas
- In San dimas, the percentage of Black residents is higher at 3% compared to 0% in Monett.
- Monett has a higher percentage of White residents at 51% compared to 25% in San dimas.
- In San dimas, the Asian population stands at 16%, greater than 2% in Monett.
- San dimas has a higher percentage of Hispanic residents at 37%, compared to 29% in Monett.
- The percentage of residents identifying as two or more races is higher in San dimas at 18%, compared to 15% in Monett.
- A greater percentage of American Indian residents live in Monett at 3% compared to 1% in San dimas.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Monett | San dimas |
---|---|---|
Mental Health Not Good | 18.9% | 14.6% |
Physical Health Not Good | 14.4% | 9.5% |
Depression | 25.3% | 16.6% |
Smoking | 22.8% | 9.3% |
Binge Drinking | 16.5% | 16.7% |
Obesity | 41.0% | 26.3% |
Disability Percentage | 13.0% | 15.0% |
Health Statistics Comparison: Monett vs San dimas
- More residents in Monett report poor mental health at 18.9% compared to 14.6% in San dimas.
- Depression is more prevalent in Monett at 25.3% compared to 16.6% in San dimas.
- Smoking is more prevalent in Monett at 22.8% compared to 9.3% in San dimas.
- More residents engage in binge drinking in San dimas at 16.7% compared to 16.5% in Monett.
- Obesity rates are higher in Monett at 41.0% compared to 26.3% in San dimas.
- There is a higher percentage of disabled individuals in San dimas at 15.0% compared to 13.0% in Monett.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Monett | San dimas |
---|---|---|
No Schooling | 1.0% (97) | 1.1% (362) |
High School Diploma | 20.5% (2,003) | 13.8% (4,634) |
Less than High School | 20.0% (1,953) | 8.5% (2,851) |
Bachelor's Degree and Higher | 8.4% (822) | 28.3% (9,476) |
Education Levels Comparison: Monett vs San dimas
- In San dimas, a larger percentage of residents lack formal schooling at 1.1% compared to 1.0% in Monett.
- A higher percentage of residents in Monett hold a high school diploma at 20.5% compared to 13.8% in San dimas.
- More residents in Monett have less than a high school education at 20.0% compared to 8.5% in San dimas.
- In San dimas, a larger share of residents have a bachelor's degree or higher at 28.3% compared to 8.4% in Monett.
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.