Demographics details for Fancy farm, KY vs Mount olive, MS
Population Overview
Compare main population characteristics in Fancy farm, KY vs Mount olive, MS.
| Data | Fancy farm | Mount olive |
|---|---|---|
| Population | 300 | 878 |
| Median Age | 51.1 years | 31.7 years |
| Median Income | $55,060 | $53,947 |
| Married Families | 31.0% | 49.0% |
| Poverty Level | 10% | 18% |
| Unemployment Rate | 3.2 | 6.5 |
Population Comparison: Fancy farm vs Mount olive
- The population in Mount olive is higher at 878, compared to 300 in Fancy farm.
- Residents in Fancy farm have a higher median age of 51.1 years compared to 31.7 years in Mount olive.
- Fancy farm has a higher median income of $55,060 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 Fancy farm.
- The poverty level is higher in Mount olive at 18%, compared to 10% in Fancy farm.
- Mount olive has a higher unemployment rate at 6.5% compared to 3.2% in Fancy farm.
Demographics
Demographics Fancy farm vs Mount olive provide insight into the diversity of the communities to compare.
| Demographic | Fancy farm | Mount olive |
|---|---|---|
| Black | 3 | 120 |
| White | 91 | 145 |
| Asian | Data is updating | 2 |
| Hispanic | Data is updating | Data is updating |
| Two or More Races | 6 | Data is updating |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Fancy farm vs Mount olive
- In Mount olive, the percentage of Black residents is higher at 120% compared to 3% in Fancy farm.
- The percentage of White residents is higher in Mount olive at 145% compared to 91% in Fancy farm.
- In Mount olive, the Asian population stands at 2%, greater than 0% in Fancy farm.
- The percentage of Hispanic residents is the same in both Fancy farm and Mount olive at 0%.
- More residents identify as two or more races in Fancy farm at 6% compared to 0% in Mount olive.
- The percentage of American Indian residents is the same in both Fancy farm and Mount olive at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Fancy farm | Mount olive |
|---|---|---|
| Mental Health Not Good | 17.9% | 17.8% |
| Physical Health Not Good | 12.6% | 13.3% |
| Depression | 27.3% | 21.5% |
| Smoking | 20.6% | 21.3% |
| Binge Drinking | 16.7% | 13.0% |
| Obesity | 37.4% | 43.6% |
| Disability Percentage | 14.0% | 27.0% |
Health Statistics Comparison: Fancy farm vs Mount olive
- More residents in Fancy farm report poor mental health at 17.9% compared to 17.8% in Mount olive.
- Depression is more prevalent in Fancy farm at 27.3% compared to 21.5% in Mount olive.
- Mount olive has a higher smoking rate at 21.3% compared to 20.6% in Fancy farm.
- Binge drinking is more common in Fancy farm at 16.7% compared to 13.0% in Mount olive.
- Mount olive has higher obesity rates at 43.6% compared to 37.4% in Fancy farm.
- There is a higher percentage of disabled individuals in Mount olive at 27.0% compared to 14.0% in Fancy farm.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Fancy farm | Mount olive |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 2.3% (20) |
| High School Diploma | 47.7% (143) | 23.9% (210) |
| Less than High School | 5.3% (16) | 14.9% (131) |
| Bachelor's Degree and Higher | 14.3% (43) | 13.0% (114) |
Education Levels Comparison: Fancy farm vs Mount olive
- In Mount olive, a larger percentage of residents lack formal schooling at 2.3% compared to 0.0% in Fancy farm.
- A higher percentage of residents in Fancy farm hold a high school diploma at 47.7% compared to 23.9% in Mount olive.
- The percentage of residents with less than a high school education is higher in Mount olive at 14.9%, compared to 5.3% in Fancy farm.
- A higher percentage of residents in Fancy farm hold a bachelor's degree or higher at 14.3% 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.