Demographics details for Monroe city, MO vs South gate, CA
Population Overview
Compare main population characteristics in Monroe city, MO vs South gate, CA.
Data | Monroe city | South gate |
---|---|---|
Population | 2,650 | 90,926 |
Median Age | 40.1 years | 33.7 years |
Median Income | $50,885 | $67,188 |
Married Families | 42.0% | 34.0% |
Poverty Level | 13% | 18% |
Unemployment Rate | 3.2 | 6.1 |
Population Comparison: Monroe city vs South gate
- The population in South gate is higher at 90,926, compared to 2,650 in Monroe city.
- Residents in Monroe city have a higher median age of 40.1 years compared to 33.7 years in South gate.
- South gate has a higher median income of $67,188, compared to $50,885 in Monroe city.
- A higher percentage of married families is found in Monroe city at 42.0% compared to 34.0% in South gate.
- The poverty level is higher in South gate at 18%, compared to 13% in Monroe city.
- South gate has a higher unemployment rate at 6.1% compared to 3.2% in Monroe city.
Demographics
Demographics Monroe city vs South gate provide insight into the diversity of the communities to compare.
Demographic | Monroe city | South gate |
---|---|---|
Black | 11 | 1 |
White | 79 | -21 |
Asian | 2 | 1 |
Hispanic | 1 | 97 |
Two or More Races | 5 | 21 |
American Indian | 2 | 1 |
Demographics Comparison: Monroe city vs South gate
- A higher percentage of Black residents are in Monroe city at 11% compared to 1% in South gate.
- Monroe city has a higher percentage of White residents at 79% compared to -21% in South gate.
- The Asian population is larger in Monroe city at 2% compared to 1% in South gate.
- South gate has a higher percentage of Hispanic residents at 97%, compared to 1% in Monroe city.
- The percentage of residents identifying as two or more races is higher in South gate at 21%, compared to 5% in Monroe city.
- A greater percentage of American Indian residents live in Monroe city at 2% compared to 1% in South gate.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Monroe city | South gate |
---|---|---|
Mental Health Not Good | 18.6% | 16.8% |
Physical Health Not Good | 13.1% | 14.9% |
Depression | 25.7% | 16.3% |
Smoking | 22.3% | 12.7% |
Binge Drinking | 17.7% | 14.5% |
Obesity | 41.5% | 34.1% |
Disability Percentage | 21.0% | 9.0% |
Health Statistics Comparison: Monroe city vs South gate
- More residents in Monroe city report poor mental health at 18.6% compared to 16.8% in South gate.
- Depression is more prevalent in Monroe city at 25.7% compared to 16.3% in South gate.
- Smoking is more prevalent in Monroe city at 22.3% compared to 12.7% in South gate.
- Binge drinking is more common in Monroe city at 17.7% compared to 14.5% in South gate.
- Obesity rates are higher in Monroe city at 41.5% compared to 34.1% in South gate.
- Disability percentages are higher in Monroe city at 21.0% compared to 9.0% in South gate.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Monroe city | South gate |
---|---|---|
No Schooling | 0.5% (13) | 4.6% (4,160) |
High School Diploma | 33.2% (880) | 14.9% (13,536) |
Less than High School | 20.6% (545) | 53.3% (48,481) |
Bachelor's Degree and Higher | 12.2% (323) | 7.5% (6,822) |
Education Levels Comparison: Monroe city vs South gate
- In South gate, a larger percentage of residents lack formal schooling at 4.6% compared to 0.5% in Monroe city.
- A higher percentage of residents in Monroe city hold a high school diploma at 33.2% compared to 14.9% in South gate.
- The percentage of residents with less than a high school education is higher in South gate at 53.3%, compared to 20.6% in Monroe city.
- A higher percentage of residents in Monroe city hold a bachelor's degree or higher at 12.2% compared to 7.5% in South gate.
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.