Demographics details for Mount pocono, PA vs Hagerstown, MD
Population Overview
Compare main population characteristics in Mount pocono, PA vs Hagerstown, MD.
Data | Mount pocono | Hagerstown |
---|---|---|
Population | 3,071 | 43,701 |
Median Age | 38.5 years | 35.9 years |
Median Income | $81,127 | $48,481 |
Married Families | 30.0% | 29.0% |
Poverty Level | 10% | 10% |
Unemployment Rate | 4.8 | 3.9 |
Population Comparison: Mount pocono vs Hagerstown
- The population in Hagerstown is higher at 43,701, compared to 3,071 in Mount pocono.
- Residents in Mount pocono have a higher median age of 38.5 years compared to 35.9 years in Hagerstown.
- Mount pocono has a higher median income of $81,127 compared to $48,481 in Hagerstown.
- A higher percentage of married families is found in Mount pocono at 30.0% compared to 29.0% in Hagerstown.
- The poverty level is identical in both Mount pocono and Hagerstown at 10%.
- The unemployment rate in Mount pocono is higher at 4.8%, compared to 3.9% in Hagerstown.
Demographics
Demographics Mount pocono vs Hagerstown provide insight into the diversity of the communities to compare.
Demographic | Mount pocono | Hagerstown |
---|---|---|
Black | 16 | 21 |
White | 41 | 56 |
Asian | 6 | 2 |
Hispanic | 33 | 10 |
Two or More Races | 4 | 11 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Mount pocono vs Hagerstown
- In Hagerstown, the percentage of Black residents is higher at 21% compared to 16% in Mount pocono.
- The percentage of White residents is higher in Hagerstown at 56% compared to 41% in Mount pocono.
- The Asian population is larger in Mount pocono at 6% compared to 2% in Hagerstown.
- The Hispanic community is larger in Mount pocono at 33% compared to 10% in Hagerstown.
- The percentage of residents identifying as two or more races is higher in Hagerstown at 11%, compared to 4% in Mount pocono.
- The percentage of American Indian residents is the same in both Mount pocono and Hagerstown at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Mount pocono | Hagerstown |
---|---|---|
Mental Health Not Good | 16.1% | 19.8% |
Physical Health Not Good | 11.8% | 13.5% |
Depression | 20.1% | 25.7% |
Smoking | 18.1% | 21.9% |
Binge Drinking | 16.1% | 14.1% |
Obesity | 34.3% | 42.7% |
Disability Percentage | 13.0% | 20.0% |
Health Statistics Comparison: Mount pocono vs Hagerstown
- In Hagerstown, a higher percentage report poor mental health at 19.8% compared to 16.1% in Mount pocono.
- Higher depression rates are seen in Hagerstown at 25.7% versus 20.1% in Mount pocono.
- Hagerstown has a higher smoking rate at 21.9% compared to 18.1% in Mount pocono.
- Binge drinking is more common in Mount pocono at 16.1% compared to 14.1% in Hagerstown.
- Hagerstown has higher obesity rates at 42.7% compared to 34.3% in Mount pocono.
- There is a higher percentage of disabled individuals in Hagerstown at 20.0% compared to 13.0% in Mount pocono.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Mount pocono | Hagerstown |
---|---|---|
No Schooling | 3.2% (98) | 1.1% (496) |
High School Diploma | 27.4% (842) | 20.5% (8,968) |
Less than High School | 18.1% (555) | 17.1% (7,464) |
Bachelor's Degree and Higher | 15.9% (488) | 13.1% (5,726) |
Education Levels Comparison: Mount pocono vs Hagerstown
- A higher percentage of residents in Mount pocono have no formal schooling at 3.2% compared to 1.1% in Hagerstown.
- A higher percentage of residents in Mount pocono hold a high school diploma at 27.4% compared to 20.5% in Hagerstown.
- More residents in Mount pocono have less than a high school education at 18.1% compared to 17.1% in Hagerstown.
- A higher percentage of residents in Mount pocono hold a bachelor's degree or higher at 15.9% compared to 13.1% in Hagerstown.
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.