Demographics details for Englewood, NJ vs Mount pleasant, SC
Population Overview
Compare main population characteristics in Englewood, NJ vs Mount pleasant, SC.
Data | Englewood | Mount pleasant |
---|---|---|
Population | 29,034 | 94,545 |
Median Age | 43.6 years | 42.4 years |
Median Income | $93,134 | $115,167 |
Married Families | 42.0% | 47.0% |
Poverty Level | 7% | 5% |
Unemployment Rate | 4.4 | 3.2 |
Population Comparison: Englewood vs Mount pleasant
- The population in Mount pleasant is higher at 94,545, compared to 29,034 in Englewood.
- Residents in Englewood have a higher median age of 43.6 years compared to 42.4 years in Mount pleasant.
- Mount pleasant has a higher median income of $115,167, compared to $93,134 in Englewood.
- In Mount pleasant, the percentage of married families is higher at 47.0%, compared to 42.0% in Englewood.
- Englewood has a higher poverty level at 7% compared to 5% in Mount pleasant.
- The unemployment rate in Englewood is higher at 4.4%, compared to 3.2% in Mount pleasant.
Demographics
Demographics Englewood vs Mount pleasant provide insight into the diversity of the communities to compare.
Demographic | Englewood | Mount pleasant |
---|---|---|
Black | 23 | 4 |
White | 26 | 90 |
Asian | 12 | 2 |
Hispanic | 29 | 2 |
Two or More Races | 9 | 2 |
American Indian | 1 | Data is updating |
Demographics Comparison: Englewood vs Mount pleasant
- A higher percentage of Black residents are in Englewood at 23% compared to 4% in Mount pleasant.
- The percentage of White residents is higher in Mount pleasant at 90% compared to 26% in Englewood.
- The Asian population is larger in Englewood at 12% compared to 2% in Mount pleasant.
- The Hispanic community is larger in Englewood at 29% compared to 2% in Mount pleasant.
- More residents identify as two or more races in Englewood at 9% compared to 2% in Mount pleasant.
- A greater percentage of American Indian residents live in Englewood at 1% compared to 0% in Mount pleasant.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Englewood | Mount pleasant |
---|---|---|
Mental Health Not Good | 13.9% | 13.7% |
Physical Health Not Good | 9.2% | 7.6% |
Depression | 15.4% | 19.5% |
Smoking | 12.6% | 9.8% |
Binge Drinking | 15.5% | 25.5% |
Obesity | 30.4% | 26.9% |
Disability Percentage | 8.0% | 6.0% |
Health Statistics Comparison: Englewood vs Mount pleasant
- More residents in Englewood report poor mental health at 13.9% compared to 13.7% in Mount pleasant.
- Higher depression rates are seen in Mount pleasant at 19.5% versus 15.4% in Englewood.
- Smoking is more prevalent in Englewood at 12.6% compared to 9.8% in Mount pleasant.
- More residents engage in binge drinking in Mount pleasant at 25.5% compared to 15.5% in Englewood.
- Obesity rates are higher in Englewood at 30.4% compared to 26.9% in Mount pleasant.
- Disability percentages are higher in Englewood at 8.0% 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 | Englewood | Mount pleasant |
---|---|---|
No Schooling | 1.2% (344) | 0.3% (259) |
High School Diploma | 13.9% (4,023) | 5.8% (5,499) |
Less than High School | 11.8% (3,433) | 2.7% (2,577) |
Bachelor's Degree and Higher | 31.9% (9,262) | 46.2% (43,679) |
Education Levels Comparison: Englewood vs Mount pleasant
- A higher percentage of residents in Englewood have no formal schooling at 1.2% compared to 0.3% in Mount pleasant.
- A higher percentage of residents in Englewood hold a high school diploma at 13.9% compared to 5.8% in Mount pleasant.
- More residents in Englewood have less than a high school education at 11.8% 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 31.9% in Englewood.
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.