Demographics details for Armona, CA vs Mount olive, MS
Population Overview
Compare main population characteristics in Armona, CA vs Mount olive, MS.
| Data | Armona | Mount olive |
|---|---|---|
| Population | 4,367 | 878 |
| Median Age | 26.4 years | 31.7 years |
| Median Income | $55,197 | $53,947 |
| Married Families | 31.0% | 49.0% |
| Poverty Level | 15% | 18% |
| Unemployment Rate | 4.5 | 6.5 |
Population Comparison: Armona vs Mount olive
- In Armona, the population is higher at 4,367, compared to 878 in Mount olive.
- The median age in Mount olive is higher at 31.7 years, compared to 26.4 years in Armona.
- Armona has a higher median income of $55,197 compared to $53,947 in Mount olive.
- In Mount olive, the percentage of married families is higher at 49.0%, compared to 31.0% in Armona.
- The poverty level is higher in Mount olive at 18%, compared to 15% in Armona.
- Mount olive has a higher unemployment rate at 6.5% compared to 4.5% in Armona.
Demographics
Demographics Armona vs Mount olive provide insight into the diversity of the communities to compare.
| Demographic | Armona | Mount olive |
|---|---|---|
| Black | 1 | 120 |
| White | -1 | 145 |
| Asian | 8 | 2 |
| Hispanic | 78 | Data is updating |
| Two or More Races | 12 | Data is updating |
| American Indian | 2 | Data is updating |
Demographics Comparison: Armona vs Mount olive
- In Mount olive, the percentage of Black residents is higher at 120% compared to 1% in Armona.
- The percentage of White residents is higher in Mount olive at 145% compared to -1% in Armona.
- The Asian population is larger in Armona at 8% compared to 2% in Mount olive.
- The Hispanic community is larger in Armona at 78% compared to 0% in Mount olive.
- More residents identify as two or more races in Armona at 12% compared to 0% in Mount olive.
- A greater percentage of American Indian residents live in Armona at 2% compared to 0% in Mount olive.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Armona | Mount olive |
|---|---|---|
| Mental Health Not Good | 17.6% | 17.8% |
| Physical Health Not Good | 13.8% | 13.3% |
| Depression | 19.5% | 21.5% |
| Smoking | 14.7% | 21.3% |
| Binge Drinking | 15.5% | 13.0% |
| Obesity | 35.5% | 43.6% |
| Disability Percentage | 8.0% | 27.0% |
Health Statistics Comparison: Armona vs Mount olive
- In Mount olive, a higher percentage report poor mental health at 17.8% compared to 17.6% in Armona.
- Higher depression rates are seen in Mount olive at 21.5% versus 19.5% in Armona.
- Mount olive has a higher smoking rate at 21.3% compared to 14.7% in Armona.
- Binge drinking is more common in Armona at 15.5% compared to 13.0% in Mount olive.
- Mount olive has higher obesity rates at 43.6% compared to 35.5% in Armona.
- There is a higher percentage of disabled individuals in Mount olive at 27.0% compared to 8.0% in Armona.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Armona | Mount olive |
|---|---|---|
| No Schooling | 1.2% (51) | 2.3% (20) |
| High School Diploma | 15.7% (686) | 23.9% (210) |
| Less than High School | 35.2% (1,537) | 14.9% (131) |
| Bachelor's Degree and Higher | 4.2% (183) | 13.0% (114) |
Education Levels Comparison: Armona vs Mount olive
- In Mount olive, a larger percentage of residents lack formal schooling at 2.3% compared to 1.2% in Armona.
- In Mount olive, the rate of residents with high school diplomas is higher at 23.9% compared to 15.7% in Armona.
- More residents in Armona have less than a high school education at 35.2% compared to 14.9% in Mount olive.
- In Mount olive, a larger share of residents have a bachelor's degree or higher at 13.0% compared to 4.2% in Armona.
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.