Demographics details for Pond eddy, NY vs Selma, CA
Population Overview
Compare main population characteristics in Pond eddy, NY vs Selma, CA.
| Data | Pond eddy | Selma |
|---|---|---|
| Population | 389 | 24,430 |
| Median Age | 45.0 years | 31.3 years |
| Median Income | $55,000 | $53,874 |
| Married Families | 65.0% | 30.0% |
| Poverty Level | 10% | 20% |
| Unemployment Rate | 4.0 | 6.5 |
Population Comparison: Pond eddy vs Selma
- The population in Selma is higher at 24,430, compared to 389 in Pond eddy.
- Residents in Pond eddy have a higher median age of 45.0 years compared to 31.3 years in Selma.
- Pond eddy has a higher median income of $55,000 compared to $53,874 in Selma.
- A higher percentage of married families is found in Pond eddy at 65.0% compared to 30.0% in Selma.
- The poverty level is higher in Selma at 20%, compared to 10% in Pond eddy.
- Selma has a higher unemployment rate at 6.5% compared to 4.0% in Pond eddy.
Demographics
Demographics Pond eddy vs Selma provide insight into the diversity of the communities to compare.
| Demographic | Pond eddy | Selma |
|---|---|---|
| Black | 2 | 1 |
| White | 95 | -2 |
| Asian | 1 | 3 |
| Hispanic | 2 | 84 |
| Two or More Races | Data is updating | 13 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Pond eddy vs Selma
- A higher percentage of Black residents are in Pond eddy at 2% compared to 1% in Selma.
- Pond eddy has a higher percentage of White residents at 95% compared to -2% in Selma.
- In Selma, the Asian population stands at 3%, greater than 1% in Pond eddy.
- Selma has a higher percentage of Hispanic residents at 84%, compared to 2% in Pond eddy.
- The percentage of residents identifying as two or more races is higher in Selma at 13%, compared to 0% in Pond eddy.
- In Selma, the percentage of American Indian residents is higher at 1%, compared to 0% in Pond eddy.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Pond eddy | Selma |
|---|---|---|
| Mental Health Not Good | Data is updating% | 18.0% |
| Physical Health Not Good | Data is updating% | 15.1% |
| Depression | Data is updating% | 17.4% |
| Smoking | Data is updating% | 15.7% |
| Binge Drinking | Data is updating% | 13.6% |
| Obesity | Data is updating% | 40.5% |
| Disability Percentage | Data is updating% | 12.0% |
Health Statistics Comparison: Pond eddy vs Selma
- In Selma, a higher percentage report poor mental health at 18.0% compared to 0.0% in Pond eddy.
- Higher depression rates are seen in Selma at 17.4% versus 0.0% in Pond eddy.
- Selma has a higher smoking rate at 15.7% compared to 0.0% in Pond eddy.
- More residents engage in binge drinking in Selma at 13.6% compared to 0.0% in Pond eddy.
- Selma has higher obesity rates at 40.5% compared to 0.0% in Pond eddy.
- There is a higher percentage of disabled individuals in Selma at 12.0% 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 | Selma |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 3.8% (938) |
| High School Diploma | 0.0% (Data is updating) | 14.6% (3,577) |
| Less than High School | 0.0% (Data is updating) | 33.9% (8,285) |
| Bachelor's Degree and Higher | 0.0% (Data is updating) | 7.0% (1,712) |
Education Levels Comparison: Pond eddy vs Selma
- In Selma, a larger percentage of residents lack formal schooling at 3.8% compared to 0.0% in Pond eddy.
- In Selma, the rate of residents with high school diplomas is higher at 14.6% compared to 0.0% in Pond eddy.
- The percentage of residents with less than a high school education is higher in Selma at 33.9%, compared to 0.0% in Pond eddy.
- In Selma, a larger share of residents have a bachelor's degree or higher at 7.0% 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.