Demographics details for Casar, NC vs Mount olive, MS
Population Overview
Compare main population characteristics in Casar, NC vs Mount olive, MS.
| Data | Casar | Mount olive |
|---|---|---|
| Population | 305 | 878 |
| Median Age | 40.7 years | 31.7 years |
| Median Income | $52,500 | $53,947 |
| Married Families | 40.0% | 49.0% |
| Poverty Level | 8% | 18% |
| Unemployment Rate | 3.5 | 6.5 |
Population Comparison: Casar vs Mount olive
- The population in Mount olive is higher at 878, compared to 305 in Casar.
- Residents in Casar have a higher median age of 40.7 years compared to 31.7 years in Mount olive.
- Mount olive has a higher median income of $53,947, compared to $52,500 in Casar.
- In Mount olive, the percentage of married families is higher at 49.0%, compared to 40.0% in Casar.
- The poverty level is higher in Mount olive at 18%, compared to 8% in Casar.
- Mount olive has a higher unemployment rate at 6.5% compared to 3.5% in Casar.
Demographics
Demographics Casar vs Mount olive provide insight into the diversity of the communities to compare.
| Demographic | Casar | Mount olive |
|---|---|---|
| Black | Data is updating | 120 |
| White | 95 | 145 |
| Asian | Data is updating | 2 |
| Hispanic | 2 | Data is updating |
| Two or More Races | 3 | Data is updating |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Casar vs Mount olive
- In Mount olive, the percentage of Black residents is higher at 120% compared to 0% in Casar.
- The percentage of White residents is higher in Mount olive at 145% compared to 95% in Casar.
- In Mount olive, the Asian population stands at 2%, greater than 0% in Casar.
- The Hispanic community is larger in Casar at 2% compared to 0% in Mount olive.
- More residents identify as two or more races in Casar at 3% compared to 0% in Mount olive.
- The percentage of American Indian residents is the same in both Casar and Mount olive at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Casar | Mount olive |
|---|---|---|
| Mental Health Not Good | 20.3% | 17.8% |
| Physical Health Not Good | 14.8% | 13.3% |
| Depression | 29.6% | 21.5% |
| Smoking | 24.2% | 21.3% |
| Binge Drinking | 16.7% | 13.0% |
| Obesity | 37.4% | 43.6% |
| Disability Percentage | 25.0% | 27.0% |
Health Statistics Comparison: Casar vs Mount olive
- More residents in Casar report poor mental health at 20.3% compared to 17.8% in Mount olive.
- Depression is more prevalent in Casar at 29.6% compared to 21.5% in Mount olive.
- Smoking is more prevalent in Casar at 24.2% compared to 21.3% in Mount olive.
- Binge drinking is more common in Casar at 16.7% compared to 13.0% in Mount olive.
- Mount olive has higher obesity rates at 43.6% compared to 37.4% in Casar.
- There is a higher percentage of disabled individuals in Mount olive at 27.0% compared to 25.0% in Casar.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Casar | Mount olive |
|---|---|---|
| No Schooling | 1.3% (4) | 2.3% (20) |
| High School Diploma | 24.3% (74) | 23.9% (210) |
| Less than High School | 28.9% (88) | 14.9% (131) |
| Bachelor's Degree and Higher | 14.8% (45) | 13.0% (114) |
Education Levels Comparison: Casar vs Mount olive
- In Mount olive, a larger percentage of residents lack formal schooling at 2.3% compared to 1.3% in Casar.
- A higher percentage of residents in Casar hold a high school diploma at 24.3% compared to 23.9% in Mount olive.
- More residents in Casar have less than a high school education at 28.9% compared to 14.9% in Mount olive.
- A higher percentage of residents in Casar hold a bachelor's degree or higher at 14.8% 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.