Demographics details for Woodsboro, MD vs Mount pleasant, SC
Population Overview
Compare main population characteristics in Woodsboro, MD vs Mount pleasant, SC.
Data | Woodsboro | Mount pleasant |
---|---|---|
Population | 1,156 | 94,545 |
Median Age | 40.8 years | 42.4 years |
Median Income | $127,000 | $115,167 |
Married Families | 45.0% | 47.0% |
Poverty Level | Data is updating | 5% |
Unemployment Rate | 3.2 | 3.2 |
Population Comparison: Woodsboro vs Mount pleasant
- The population in Mount pleasant is higher at 94,545, compared to 1,156 in Woodsboro.
- The median age in Mount pleasant is higher at 42.4 years, compared to 40.8 years in Woodsboro.
- Woodsboro has a higher median income of $127,000 compared to $115,167 in Mount pleasant.
- In Mount pleasant, the percentage of married families is higher at 47.0%, compared to 45.0% in Woodsboro.
- The poverty level is higher in Mount pleasant at 5%, compared to 0% in Woodsboro.
- The unemployment rate is the same in both Woodsboro and Mount pleasant at 3.2%.
Demographics
Demographics Woodsboro vs Mount pleasant provide insight into the diversity of the communities to compare.
Demographic | Woodsboro | Mount pleasant |
---|---|---|
Black | 28 | 4 |
White | 65 | 90 |
Asian | 1 | 2 |
Hispanic | 3 | 2 |
Two or More Races | 3 | 2 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Woodsboro vs Mount pleasant
- A higher percentage of Black residents are in Woodsboro at 28% compared to 4% in Mount pleasant.
- The percentage of White residents is higher in Mount pleasant at 90% compared to 65% in Woodsboro.
- In Mount pleasant, the Asian population stands at 2%, greater than 1% in Woodsboro.
- The Hispanic community is larger in Woodsboro at 3% compared to 2% in Mount pleasant.
- More residents identify as two or more races in Woodsboro at 3% compared to 2% in Mount pleasant.
- The percentage of American Indian residents is the same in both Woodsboro and Mount pleasant at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Woodsboro | Mount pleasant |
---|---|---|
Mental Health Not Good | 15.9% | 13.7% |
Physical Health Not Good | 8.8% | 7.6% |
Depression | 21.3% | 19.5% |
Smoking | 14.6% | 9.8% |
Binge Drinking | 17.2% | 25.5% |
Obesity | 33.6% | 26.9% |
Disability Percentage | 15.0% | 6.0% |
Health Statistics Comparison: Woodsboro vs Mount pleasant
- More residents in Woodsboro report poor mental health at 15.9% compared to 13.7% in Mount pleasant.
- Depression is more prevalent in Woodsboro at 21.3% compared to 19.5% in Mount pleasant.
- Smoking is more prevalent in Woodsboro at 14.6% compared to 9.8% in Mount pleasant.
- More residents engage in binge drinking in Mount pleasant at 25.5% compared to 17.2% in Woodsboro.
- Obesity rates are higher in Woodsboro at 33.6% compared to 26.9% in Mount pleasant.
- Disability percentages are higher in Woodsboro at 15.0% compared to 6.0% in Mount pleasant.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Woodsboro | Mount pleasant |
---|---|---|
No Schooling | 0.0% (Data is updating) | 0.3% (259) |
High School Diploma | 13.8% (160) | 5.8% (5,499) |
Less than High School | 8.7% (101) | 2.7% (2,577) |
Bachelor's Degree and Higher | 28.7% (332) | 46.2% (43,679) |
Education Levels Comparison: Woodsboro vs Mount pleasant
- In Mount pleasant, a larger percentage of residents lack formal schooling at 0.3% compared to 0.0% in Woodsboro.
- A higher percentage of residents in Woodsboro hold a high school diploma at 13.8% compared to 5.8% in Mount pleasant.
- More residents in Woodsboro have less than a high school education at 8.7% compared to 2.7% in Mount pleasant.
- In Mount pleasant, a larger share of residents have a bachelor's degree or higher at 46.2% compared to 28.7% in Woodsboro.
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.