Demographics details for Mount olive, MS vs Inglewood, CA
Population Overview
Compare main population characteristics in Mount olive, MS vs Inglewood, CA.
| Data | Mount olive | Inglewood |
|---|---|---|
| Population | 878 | 103,621 |
| Median Age | 31.7 years | 37.3 years |
| Median Income | $53,947 | $67,563 |
| Married Families | 49.0% | 30.0% |
| Poverty Level | 18% | 18% |
| Unemployment Rate | 6.5 | 6.8 |
Population Comparison: Mount olive vs Inglewood
- The population in Inglewood is higher at 103,621, compared to 878 in Mount olive.
- The median age in Inglewood is higher at 37.3 years, compared to 31.7 years in Mount olive.
- Inglewood has a higher median income of $67,563, compared to $53,947 in Mount olive.
- A higher percentage of married families is found in Mount olive at 49.0% compared to 30.0% in Inglewood.
- The poverty level is identical in both Mount olive and Inglewood at 18%.
- Inglewood has a higher unemployment rate at 6.8% compared to 6.5% in Mount olive.
Demographics
Demographics Mount olive vs Inglewood provide insight into the diversity of the communities to compare.
| Demographic | Mount olive | Inglewood |
|---|---|---|
| Black | 120 | 41 |
| White | 145 | 16 |
| Asian | 2 | 3 |
| Hispanic | Data is updating | 51 |
| Two or More Races | Data is updating | 14 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Mount olive vs Inglewood
- A higher percentage of Black residents are in Mount olive at 120% compared to 41% in Inglewood.
- Mount olive has a higher percentage of White residents at 145% compared to 16% in Inglewood.
- In Inglewood, the Asian population stands at 3%, greater than 2% in Mount olive.
- Inglewood has a higher percentage of Hispanic residents at 51%, compared to 0% in Mount olive.
- The percentage of residents identifying as two or more races is higher in Inglewood at 14%, compared to 0% in Mount olive.
- In Inglewood, the percentage of American Indian residents is higher at 1%, compared to 0% in Mount olive.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Mount olive | Inglewood |
|---|---|---|
| Mental Health Not Good | 17.8% | 17.0% |
| Physical Health Not Good | 13.3% | 13.2% |
| Depression | 21.5% | 15.4% |
| Smoking | 21.3% | 13.2% |
| Binge Drinking | 13.0% | 13.8% |
| Obesity | 43.6% | 35.7% |
| Disability Percentage | 27.0% | 13.0% |
Health Statistics Comparison: Mount olive vs Inglewood
- More residents in Mount olive report poor mental health at 17.8% compared to 17.0% in Inglewood.
- Depression is more prevalent in Mount olive at 21.5% compared to 15.4% in Inglewood.
- Smoking is more prevalent in Mount olive at 21.3% compared to 13.2% in Inglewood.
- More residents engage in binge drinking in Inglewood at 13.8% compared to 13.0% in Mount olive.
- Obesity rates are higher in Mount olive at 43.6% compared to 35.7% in Inglewood.
- Disability percentages are higher in Mount olive at 27.0% compared to 13.0% in Inglewood.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Mount olive | Inglewood |
|---|---|---|
| No Schooling | 2.3% (20) | 3.5% (3,619) |
| High School Diploma | 23.9% (210) | 14.8% (15,291) |
| Less than High School | 14.9% (131) | 29.9% (30,999) |
| Bachelor's Degree and Higher | 13.0% (114) | 16.3% (16,899) |
Education Levels Comparison: Mount olive vs Inglewood
- In Inglewood, a larger percentage of residents lack formal schooling at 3.5% compared to 2.3% in Mount olive.
- A higher percentage of residents in Mount olive hold a high school diploma at 23.9% compared to 14.8% in Inglewood.
- The percentage of residents with less than a high school education is higher in Inglewood at 29.9%, compared to 14.9% in Mount olive.
- In Inglewood, a larger share of residents have a bachelor's degree or higher at 16.3% 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.