Demographics details for Mount olive, MS vs Redding, CA
Population Overview
Compare main population characteristics in Mount olive, MS vs Redding, CA.
Data | Mount olive | Redding |
---|---|---|
Population | 878 | 92,906 |
Median Age | 31.7 years | 38.8 years |
Median Income | $53,947 | $67,323 |
Married Families | 49.0% | 36.0% |
Poverty Level | 18% | 13% |
Unemployment Rate | 6.5 | 5.0 |
Population Comparison: Mount olive vs Redding
- The population in Redding is higher at 92,906, compared to 878 in Mount olive.
- The median age in Redding is higher at 38.8 years, compared to 31.7 years in Mount olive.
- Redding has a higher median income of $67,323, compared to $53,947 in Mount olive.
- A higher percentage of married families is found in Mount olive at 49.0% compared to 36.0% in Redding.
- Mount olive has a higher poverty level at 18% compared to 13% in Redding.
- The unemployment rate in Mount olive is higher at 6.5%, compared to 5.0% in Redding.
Demographics
Demographics Mount olive vs Redding provide insight into the diversity of the communities to compare.
Demographic | Mount olive | Redding |
---|---|---|
Black | 120 | 1 |
White | 145 | 71 |
Asian | 2 | 4 |
Hispanic | Data is updating | 12 |
Two or More Races | Data is updating | 10 |
American Indian | Data is updating | 2 |
Demographics Comparison: Mount olive vs Redding
- A higher percentage of Black residents are in Mount olive at 120% compared to 1% in Redding.
- Mount olive has a higher percentage of White residents at 145% compared to 71% in Redding.
- In Redding, the Asian population stands at 4%, greater than 2% in Mount olive.
- Redding has a higher percentage of Hispanic residents at 12%, compared to 0% in Mount olive.
- The percentage of residents identifying as two or more races is higher in Redding at 10%, compared to 0% in Mount olive.
- In Redding, the percentage of American Indian residents is higher at 2%, compared to 0% in Mount olive.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Mount olive | Redding |
---|---|---|
Mental Health Not Good | 17.8% | 18.2% |
Physical Health Not Good | 13.3% | 11.9% |
Depression | 21.5% | 22.1% |
Smoking | 21.3% | 15.0% |
Binge Drinking | 13.0% | 17.6% |
Obesity | 43.6% | 30.9% |
Disability Percentage | 27.0% | 17.0% |
Health Statistics Comparison: Mount olive vs Redding
- In Redding, a higher percentage report poor mental health at 18.2% compared to 17.8% in Mount olive.
- Higher depression rates are seen in Redding at 22.1% versus 21.5% in Mount olive.
- Smoking is more prevalent in Mount olive at 21.3% compared to 15.0% in Redding.
- More residents engage in binge drinking in Redding at 17.6% compared to 13.0% in Mount olive.
- Obesity rates are higher in Mount olive at 43.6% compared to 30.9% in Redding.
- Disability percentages are higher in Mount olive at 27.0% compared to 17.0% in Redding.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Mount olive | Redding |
---|---|---|
No Schooling | 2.3% (20) | 0.6% (581) |
High School Diploma | 23.9% (210) | 14.2% (13,235) |
Less than High School | 14.9% (131) | 9.2% (8,540) |
Bachelor's Degree and Higher | 13.0% (114) | 18.3% (16,986) |
Education Levels Comparison: Mount olive vs Redding
- A higher percentage of residents in Mount olive have no formal schooling at 2.3% compared to 0.6% in Redding.
- A higher percentage of residents in Mount olive hold a high school diploma at 23.9% compared to 14.2% in Redding.
- More residents in Mount olive have less than a high school education at 14.9% compared to 9.2% in Redding.
- In Redding, a larger share of residents have a bachelor's degree or higher at 18.3% 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.