Demographics details for Mount pocono, PA vs Saucier, MS
Population Overview
Compare main population characteristics in Mount pocono, PA vs Saucier, MS.
| Data | Mount pocono | Saucier |
|---|---|---|
| Population | 3,071 | 1,199 |
| Median Age | 38.5 years | 41.3 years |
| Median Income | $81,127 | $67,742 |
| Married Families | 30.0% | 32.0% |
| Poverty Level | 10% | 11% |
| Unemployment Rate | 4.8 | 4.2 |
Population Comparison: Mount pocono vs Saucier
- In Mount pocono, the population is higher at 3,071, compared to 1,199 in Saucier.
- The median age in Saucier is higher at 41.3 years, compared to 38.5 years in Mount pocono.
- Mount pocono has a higher median income of $81,127 compared to $67,742 in Saucier.
- In Saucier, the percentage of married families is higher at 32.0%, compared to 30.0% in Mount pocono.
- The poverty level is higher in Saucier at 11%, compared to 10% in Mount pocono.
- The unemployment rate in Mount pocono is higher at 4.8%, compared to 4.2% in Saucier.
Demographics
Demographics Mount pocono vs Saucier provide insight into the diversity of the communities to compare.
| Demographic | Mount pocono | Saucier |
|---|---|---|
| Black | 16 | Data is updating |
| White | 41 | 100 |
| Asian | 6 | Data is updating |
| Hispanic | 33 | Data is updating |
| Two or More Races | 4 | Data is updating |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Mount pocono vs Saucier
- A higher percentage of Black residents are in Mount pocono at 16% compared to 0% in Saucier.
- The percentage of White residents is higher in Saucier at 100% compared to 41% in Mount pocono.
- The Asian population is larger in Mount pocono at 6% compared to 0% in Saucier.
- The Hispanic community is larger in Mount pocono at 33% compared to 0% in Saucier.
- More residents identify as two or more races in Mount pocono at 4% compared to 0% in Saucier.
- The percentage of American Indian residents is the same in both Mount pocono and Saucier at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Mount pocono | Saucier |
|---|---|---|
| Mental Health Not Good | 16.1% | 18.0% |
| Physical Health Not Good | 11.8% | 12.6% |
| Depression | 20.1% | 25.6% |
| Smoking | 18.1% | 22.9% |
| Binge Drinking | 16.1% | 16.3% |
| Obesity | 34.3% | 34.0% |
| Disability Percentage | 13.0% | 15.0% |
Health Statistics Comparison: Mount pocono vs Saucier
- In Saucier, a higher percentage report poor mental health at 18.0% compared to 16.1% in Mount pocono.
- Higher depression rates are seen in Saucier at 25.6% versus 20.1% in Mount pocono.
- Saucier has a higher smoking rate at 22.9% compared to 18.1% in Mount pocono.
- More residents engage in binge drinking in Saucier at 16.3% compared to 16.1% in Mount pocono.
- Obesity rates are higher in Mount pocono at 34.3% compared to 34.0% in Saucier.
- There is a higher percentage of disabled individuals in Saucier at 15.0% 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 | Saucier |
|---|---|---|
| No Schooling | 3.2% (98) | 0.0% (Data is updating) |
| High School Diploma | 27.4% (842) | 29.9% (359) |
| Less than High School | 18.1% (555) | 6.3% (76) |
| Bachelor's Degree and Higher | 15.9% (488) | 7.0% (84) |
Education Levels Comparison: Mount pocono vs Saucier
- A higher percentage of residents in Mount pocono have no formal schooling at 3.2% compared to 0.0% in Saucier.
- In Saucier, the rate of residents with high school diplomas is higher at 29.9% compared to 27.4% in Mount pocono.
- More residents in Mount pocono have less than a high school education at 18.1% compared to 6.3% in Saucier.
- A higher percentage of residents in Mount pocono hold a bachelor's degree or higher at 15.9% compared to 7.0% in Saucier.
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.