Demographics details for Hyattsville, MD vs Mount olive, MS
Population Overview
Compare main population characteristics in Hyattsville, MD vs Mount olive, MS.
Data | Hyattsville | Mount olive |
---|---|---|
Population | 20,675 | 878 |
Median Age | 35.5 years | 31.7 years |
Median Income | $90,329 | $53,947 |
Married Families | 33.0% | 49.0% |
Poverty Level | 11% | 18% |
Unemployment Rate | 4.2 | 6.5 |
Population Comparison: Hyattsville vs Mount olive
- In Hyattsville, the population is higher at 20,675, compared to 878 in Mount olive.
- Residents in Hyattsville have a higher median age of 35.5 years compared to 31.7 years in Mount olive.
- Hyattsville has a higher median income of $90,329 compared to $53,947 in Mount olive.
- In Mount olive, the percentage of married families is higher at 49.0%, compared to 33.0% in Hyattsville.
- The poverty level is higher in Mount olive at 18%, compared to 11% in Hyattsville.
- Mount olive has a higher unemployment rate at 6.5% compared to 4.2% in Hyattsville.
Demographics
Demographics Hyattsville vs Mount olive provide insight into the diversity of the communities to compare.
Demographic | Hyattsville | Mount olive |
---|---|---|
Black | 28 | 120 |
White | 21 | 145 |
Asian | 7 | 2 |
Hispanic | 36 | Data is updating |
Two or More Races | 7 | Data is updating |
American Indian | 1 | Data is updating |
Demographics Comparison: Hyattsville vs Mount olive
- In Mount olive, the percentage of Black residents is higher at 120% compared to 28% in Hyattsville.
- The percentage of White residents is higher in Mount olive at 145% compared to 21% in Hyattsville.
- The Asian population is larger in Hyattsville at 7% compared to 2% in Mount olive.
- The Hispanic community is larger in Hyattsville at 36% compared to 0% in Mount olive.
- More residents identify as two or more races in Hyattsville at 7% compared to 0% in Mount olive.
- A greater percentage of American Indian residents live in Hyattsville at 1% compared to 0% in Mount olive.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Hyattsville | Mount olive |
---|---|---|
Mental Health Not Good | 13.8% | 17.8% |
Physical Health Not Good | 9.7% | 13.3% |
Depression | 13.8% | 21.5% |
Smoking | 11.7% | 21.3% |
Binge Drinking | 12.8% | 13.0% |
Obesity | 38.0% | 43.6% |
Disability Percentage | 7.0% | 27.0% |
Health Statistics Comparison: Hyattsville vs Mount olive
- In Mount olive, a higher percentage report poor mental health at 17.8% compared to 13.8% in Hyattsville.
- Higher depression rates are seen in Mount olive at 21.5% versus 13.8% in Hyattsville.
- Mount olive has a higher smoking rate at 21.3% compared to 11.7% in Hyattsville.
- More residents engage in binge drinking in Mount olive at 13.0% compared to 12.8% in Hyattsville.
- Mount olive has higher obesity rates at 43.6% compared to 38.0% in Hyattsville.
- There is a higher percentage of disabled individuals in Mount olive at 27.0% compared to 7.0% in Hyattsville.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Hyattsville | Mount olive |
---|---|---|
No Schooling | 3.3% (682) | 2.3% (20) |
High School Diploma | 10.3% (2,131) | 23.9% (210) |
Less than High School | 26.0% (5,380) | 14.9% (131) |
Bachelor's Degree and Higher | 33.1% (6,840) | 13.0% (114) |
Education Levels Comparison: Hyattsville vs Mount olive
- A higher percentage of residents in Hyattsville have no formal schooling at 3.3% compared to 2.3% in Mount olive.
- In Mount olive, the rate of residents with high school diplomas is higher at 23.9% compared to 10.3% in Hyattsville.
- More residents in Hyattsville have less than a high school education at 26.0% compared to 14.9% in Mount olive.
- A higher percentage of residents in Hyattsville hold a bachelor's degree or higher at 33.1% 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.