Demographics details for Pond eddy, NY vs Salem, OH
Population Overview
Compare main population characteristics in Pond eddy, NY vs Salem, OH.
| Data | Pond eddy | Salem |
|---|---|---|
| Population | 389 | 11,729 |
| Median Age | 45.0 years | 41.3 years |
| Median Income | $55,000 | $45,380 |
| Married Families | 65.0% | 31.0% |
| Poverty Level | 10% | 10% |
| Unemployment Rate | 4.0 | 5.0 |
Population Comparison: Pond eddy vs Salem
- The population in Salem is higher at 11,729, compared to 389 in Pond eddy.
- Residents in Pond eddy have a higher median age of 45.0 years compared to 41.3 years in Salem.
- Pond eddy has a higher median income of $55,000 compared to $45,380 in Salem.
- A higher percentage of married families is found in Pond eddy at 65.0% compared to 31.0% in Salem.
- The poverty level is identical in both Pond eddy and Salem at 10%.
- Salem has a higher unemployment rate at 5.0% compared to 4.0% in Pond eddy.
Demographics
Demographics Pond eddy vs Salem provide insight into the diversity of the communities to compare.
| Demographic | Pond eddy | Salem |
|---|---|---|
| Black | 2 | 1 |
| White | 95 | 97 |
| Asian | 1 | Data is updating |
| Hispanic | 2 | Data is updating |
| Two or More Races | Data is updating | 2 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Pond eddy vs Salem
- A higher percentage of Black residents are in Pond eddy at 2% compared to 1% in Salem.
- The percentage of White residents is higher in Salem at 97% compared to 95% in Pond eddy.
- The Asian population is larger in Pond eddy at 1% compared to 0% in Salem.
- The Hispanic community is larger in Pond eddy at 2% compared to 0% in Salem.
- The percentage of residents identifying as two or more races is higher in Salem at 2%, compared to 0% in Pond eddy.
- The percentage of American Indian residents is the same in both Pond eddy and Salem at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Pond eddy | Salem |
|---|---|---|
| Mental Health Not Good | Data is updating% | 19.0% |
| Physical Health Not Good | Data is updating% | 13.0% |
| Depression | Data is updating% | 24.7% |
| Smoking | Data is updating% | 23.1% |
| Binge Drinking | Data is updating% | 17.1% |
| Obesity | Data is updating% | 45.4% |
| Disability Percentage | Data is updating% | 19.0% |
Health Statistics Comparison: Pond eddy vs Salem
- In Salem, a higher percentage report poor mental health at 19.0% compared to 0.0% in Pond eddy.
- Higher depression rates are seen in Salem at 24.7% versus 0.0% in Pond eddy.
- Salem has a higher smoking rate at 23.1% compared to 0.0% in Pond eddy.
- More residents engage in binge drinking in Salem at 17.1% compared to 0.0% in Pond eddy.
- Salem has higher obesity rates at 45.4% compared to 0.0% in Pond eddy.
- There is a higher percentage of disabled individuals in Salem at 19.0% compared to 0.0% in Pond eddy.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Pond eddy | Salem |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 1.2% (142) |
| High School Diploma | 0.0% (Data is updating) | 27.3% (3,203) |
| Less than High School | 0.0% (Data is updating) | 18.0% (2,117) |
| Bachelor's Degree and Higher | 0.0% (Data is updating) | 13.8% (1,615) |
Education Levels Comparison: Pond eddy vs Salem
- In Salem, a larger percentage of residents lack formal schooling at 1.2% compared to 0.0% in Pond eddy.
- In Salem, the rate of residents with high school diplomas is higher at 27.3% compared to 0.0% in Pond eddy.
- The percentage of residents with less than a high school education is higher in Salem at 18.0%, compared to 0.0% in Pond eddy.
- In Salem, a larger share of residents have a bachelor's degree or higher at 13.8% compared to 0.0% in Pond eddy.
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.