Demographics details for San diego, CA vs Mount olive, MS
Population Overview
Compare main population characteristics in San diego, CA vs Mount olive, MS.
Data | San diego | Mount olive |
---|---|---|
Population | 1,381,162 | 878 |
Median Age | 35.8 years | 31.7 years |
Median Income | $98,657 | $53,947 |
Married Families | 38.0% | 49.0% |
Poverty Level | 12% | 18% |
Unemployment Rate | 4.3 | 6.5 |
Population Comparison: San diego vs Mount olive
- In San diego, the population is higher at 1,381,162, compared to 878 in Mount olive.
- Residents in San diego have a higher median age of 35.8 years compared to 31.7 years in Mount olive.
- San diego has a higher median income of $98,657 compared to $53,947 in Mount olive.
- In Mount olive, the percentage of married families is higher at 49.0%, compared to 38.0% in San diego.
- The poverty level is higher in Mount olive at 18%, compared to 12% in San diego.
- Mount olive has a higher unemployment rate at 6.5% compared to 4.3% in San diego.
Demographics
Demographics San diego vs Mount olive provide insight into the diversity of the communities to compare.
Demographic | San diego | Mount olive |
---|---|---|
Black | 6 | 120 |
White | 33 | 145 |
Asian | 17 | 2 |
Hispanic | 30 | Data is updating |
Two or More Races | 13 | Data is updating |
American Indian | 1 | Data is updating |
Demographics Comparison: San diego vs Mount olive
- In Mount olive, the percentage of Black residents is higher at 120% compared to 6% in San diego.
- The percentage of White residents is higher in Mount olive at 145% compared to 33% in San diego.
- The Asian population is larger in San diego at 17% compared to 2% in Mount olive.
- The Hispanic community is larger in San diego at 30% compared to 0% in Mount olive.
- More residents identify as two or more races in San diego at 13% compared to 0% in Mount olive.
- A greater percentage of American Indian residents live in San diego at 1% compared to 0% in Mount olive.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | San diego | Mount olive |
---|---|---|
Mental Health Not Good | 15.1% | 17.8% |
Physical Health Not Good | 10.1% | 13.3% |
Depression | 16.6% | 21.5% |
Smoking | 10.5% | 21.3% |
Binge Drinking | 18.1% | 13.0% |
Obesity | 23.2% | 43.6% |
Disability Percentage | 9.0% | 27.0% |
Health Statistics Comparison: San diego vs Mount olive
- In Mount olive, a higher percentage report poor mental health at 17.8% compared to 15.1% in San diego.
- Higher depression rates are seen in Mount olive at 21.5% versus 16.6% in San diego.
- Mount olive has a higher smoking rate at 21.3% compared to 10.5% in San diego.
- Binge drinking is more common in San diego at 18.1% compared to 13.0% in Mount olive.
- Mount olive has higher obesity rates at 43.6% compared to 23.2% in San diego.
- There is a higher percentage of disabled individuals in Mount olive at 27.0% compared to 9.0% in San diego.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | San diego | Mount olive |
---|---|---|
No Schooling | 1.7% (23,263) | 2.3% (20) |
High School Diploma | 9.3% (127,837) | 23.9% (210) |
Less than High School | 12.6% (174,459) | 14.9% (131) |
Bachelor's Degree and Higher | 34.2% (472,374) | 13.0% (114) |
Education Levels Comparison: San diego vs Mount olive
- In Mount olive, a larger percentage of residents lack formal schooling at 2.3% compared to 1.7% in San diego.
- In Mount olive, the rate of residents with high school diplomas is higher at 23.9% compared to 9.3% in San diego.
- The percentage of residents with less than a high school education is higher in Mount olive at 14.9%, compared to 12.6% in San diego.
- A higher percentage of residents in San diego hold a bachelor's degree or higher at 34.2% compared to 13.0% in Mount olive.
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.