Demographics details for Mount olive, MS vs Bernice, LA
Population Overview
Compare main population characteristics in Mount olive, MS vs Bernice, LA.
| Data | Mount olive | Bernice |
|---|---|---|
| Population | 878 | 1,319 |
| Median Age | 31.7 years | 40.5 years |
| Median Income | $53,947 | $24,375 |
| Married Families | 49.0% | 23.0% |
| Poverty Level | 18% | 21% |
| Unemployment Rate | 6.5 | 5.2 |
Population Comparison: Mount olive vs Bernice
- The population in Bernice is higher at 1,319, compared to 878 in Mount olive.
- The median age in Bernice is higher at 40.5 years, compared to 31.7 years in Mount olive.
- Mount olive has a higher median income of $53,947 compared to $24,375 in Bernice.
- A higher percentage of married families is found in Mount olive at 49.0% compared to 23.0% in Bernice.
- The poverty level is higher in Bernice at 21%, compared to 18% in Mount olive.
- The unemployment rate in Mount olive is higher at 6.5%, compared to 5.2% in Bernice.
Demographics
Demographics Mount olive vs Bernice provide insight into the diversity of the communities to compare.
| Demographic | Mount olive | Bernice |
|---|---|---|
| Black | 120 | 62 |
| White | 145 | 22 |
| Asian | 2 | Data is updating |
| Hispanic | Data is updating | 16 |
| Two or More Races | Data is updating | Data is updating |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Mount olive vs Bernice
- A higher percentage of Black residents are in Mount olive at 120% compared to 62% in Bernice.
- Mount olive has a higher percentage of White residents at 145% compared to 22% in Bernice.
- The Asian population is larger in Mount olive at 2% compared to 0% in Bernice.
- Bernice has a higher percentage of Hispanic residents at 16%, compared to 0% in Mount olive.
- Both Mount olive and Bernice have the same percentage of residents identifying as two or more races at 0%.
- The percentage of American Indian residents is the same in both Mount olive and Bernice at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Mount olive | Bernice |
|---|---|---|
| Mental Health Not Good | 17.8% | 19.4% |
| Physical Health Not Good | 13.3% | 14.2% |
| Depression | 21.5% | 22.7% |
| Smoking | 21.3% | 22.8% |
| Binge Drinking | 13.0% | 15.6% |
| Obesity | 43.6% | 45.8% |
| Disability Percentage | 27.0% | 18.0% |
Health Statistics Comparison: Mount olive vs Bernice
- In Bernice, a higher percentage report poor mental health at 19.4% compared to 17.8% in Mount olive.
- Higher depression rates are seen in Bernice at 22.7% versus 21.5% in Mount olive.
- Bernice has a higher smoking rate at 22.8% compared to 21.3% in Mount olive.
- More residents engage in binge drinking in Bernice at 15.6% compared to 13.0% in Mount olive.
- Bernice has higher obesity rates at 45.8% compared to 43.6% in Mount olive.
- Disability percentages are higher in Mount olive at 27.0% compared to 18.0% in Bernice.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Mount olive | Bernice |
|---|---|---|
| No Schooling | 2.3% (20) | 1.9% (25) |
| High School Diploma | 23.9% (210) | 35.4% (467) |
| Less than High School | 14.9% (131) | 13.6% (179) |
| Bachelor's Degree and Higher | 13.0% (114) | 6.4% (84) |
Education Levels Comparison: Mount olive vs Bernice
- A higher percentage of residents in Mount olive have no formal schooling at 2.3% compared to 1.9% in Bernice.
- In Bernice, the rate of residents with high school diplomas is higher at 35.4% compared to 23.9% in Mount olive.
- More residents in Mount olive have less than a high school education at 14.9% compared to 13.6% in Bernice.
- A higher percentage of residents in Mount olive hold a bachelor's degree or higher at 13.0% compared to 6.4% in Bernice.
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.