Demographics details for Mount orab, OH vs South gate, CA
Population Overview
Compare main population characteristics in Mount orab, OH vs South gate, CA.
Data | Mount orab | South gate |
---|---|---|
Population | 4,337 | 90,926 |
Median Age | 30.4 years | 33.7 years |
Median Income | $62,833 | $67,188 |
Married Families | 37.0% | 34.0% |
Poverty Level | 10% | 18% |
Unemployment Rate | 4.5 | 6.1 |
Population Comparison: Mount orab vs South gate
- The population in South gate is higher at 90,926, compared to 4,337 in Mount orab.
- The median age in South gate is higher at 33.7 years, compared to 30.4 years in Mount orab.
- South gate has a higher median income of $67,188, compared to $62,833 in Mount orab.
- A higher percentage of married families is found in Mount orab at 37.0% compared to 34.0% in South gate.
- The poverty level is higher in South gate at 18%, compared to 10% in Mount orab.
- South gate has a higher unemployment rate at 6.1% compared to 4.5% in Mount orab.
Demographics
Demographics Mount orab vs South gate provide insight into the diversity of the communities to compare.
Demographic | Mount orab | South gate |
---|---|---|
Black | 1 | 1 |
White | 98 | -21 |
Asian | Data is updating | 1 |
Hispanic | Data is updating | 97 |
Two or More Races | 1 | 21 |
American Indian | Data is updating | 1 |
Demographics Comparison: Mount orab vs South gate
- The percentage of Black residents is the same in both Mount orab and South gate at 1%.
- Mount orab has a higher percentage of White residents at 98% compared to -21% in South gate.
- In South gate, the Asian population stands at 1%, greater than 0% in Mount orab.
- South gate has a higher percentage of Hispanic residents at 97%, compared to 0% in Mount orab.
- The percentage of residents identifying as two or more races is higher in South gate at 21%, compared to 1% in Mount orab.
- In South gate, the percentage of American Indian residents is higher at 1%, compared to 0% in Mount orab.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Mount orab | South gate |
---|---|---|
Mental Health Not Good | 18.3% | 16.8% |
Physical Health Not Good | 12.8% | 14.9% |
Depression | 25.7% | 16.3% |
Smoking | 22.9% | 12.7% |
Binge Drinking | 18.6% | 14.5% |
Obesity | 42.0% | 34.1% |
Disability Percentage | 16.0% | 9.0% |
Health Statistics Comparison: Mount orab vs South gate
- More residents in Mount orab report poor mental health at 18.3% compared to 16.8% in South gate.
- Depression is more prevalent in Mount orab at 25.7% compared to 16.3% in South gate.
- Smoking is more prevalent in Mount orab at 22.9% compared to 12.7% in South gate.
- Binge drinking is more common in Mount orab at 18.6% compared to 14.5% in South gate.
- Obesity rates are higher in Mount orab at 42.0% compared to 34.1% in South gate.
- Disability percentages are higher in Mount orab at 16.0% 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 | Mount orab | South gate |
---|---|---|
No Schooling | 0.8% (36) | 4.6% (4,160) |
High School Diploma | 23.9% (1,037) | 14.9% (13,536) |
Less than High School | 25.7% (1,116) | 53.3% (48,481) |
Bachelor's Degree and Higher | 11.0% (479) | 7.5% (6,822) |
Education Levels Comparison: Mount orab vs South gate
- In South gate, a larger percentage of residents lack formal schooling at 4.6% compared to 0.8% in Mount orab.
- A higher percentage of residents in Mount orab hold a high school diploma at 23.9% 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 25.7% in Mount orab.
- A higher percentage of residents in Mount orab hold a bachelor's degree or higher at 11.0% 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.