Demographics details for Selma, CA vs Paden city, WV
Population Overview
Compare main population characteristics in Selma, CA vs Paden city, WV.
| Data | Selma | Paden city |
|---|---|---|
| Population | 24,430 | 2,451 |
| Median Age | 31.3 years | 41.2 years |
| Median Income | $53,874 | $53,833 |
| Married Families | 30.0% | 49.0% |
| Poverty Level | 20% | 16% |
| Unemployment Rate | 6.5 | 5.3 |
Population Comparison: Selma vs Paden city
- In Selma, the population is higher at 24,430, compared to 2,451 in Paden city.
- The median age in Paden city is higher at 41.2 years, compared to 31.3 years in Selma.
- Selma has a higher median income of $53,874 compared to $53,833 in Paden city.
- In Paden city, the percentage of married families is higher at 49.0%, compared to 30.0% in Selma.
- Selma has a higher poverty level at 20% compared to 16% in Paden city.
- The unemployment rate in Selma is higher at 6.5%, compared to 5.3% in Paden city.
Demographics
Demographics Selma vs Paden city provide insight into the diversity of the communities to compare.
| Demographic | Selma | Paden city |
|---|---|---|
| Black | 1 | Data is updating |
| White | -2 | 98 |
| Asian | 3 | Data is updating |
| Hispanic | 84 | Data is updating |
| Two or More Races | 13 | 2 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Selma vs Paden city
- A higher percentage of Black residents are in Selma at 1% compared to 0% in Paden city.
- The percentage of White residents is higher in Paden city at 98% compared to -2% in Selma.
- The Asian population is larger in Selma at 3% compared to 0% in Paden city.
- The Hispanic community is larger in Selma at 84% compared to 0% in Paden city.
- More residents identify as two or more races in Selma at 13% compared to 2% in Paden city.
- A greater percentage of American Indian residents live in Selma at 1% compared to 0% in Paden city.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Selma | Paden city |
|---|---|---|
| Mental Health Not Good | 18.0% | 20.6% |
| Physical Health Not Good | 15.1% | 14.1% |
| Depression | 17.4% | 28.9% |
| Smoking | 15.7% | 22.6% |
| Binge Drinking | 13.6% | 14.5% |
| Obesity | 40.5% | 40.7% |
| Disability Percentage | 12.0% | 21.0% |
Health Statistics Comparison: Selma vs Paden city
- In Paden city, a higher percentage report poor mental health at 20.6% compared to 18.0% in Selma.
- Higher depression rates are seen in Paden city at 28.9% versus 17.4% in Selma.
- Paden city has a higher smoking rate at 22.6% compared to 15.7% in Selma.
- More residents engage in binge drinking in Paden city at 14.5% compared to 13.6% in Selma.
- Paden city has higher obesity rates at 40.7% compared to 40.5% in Selma.
- There is a higher percentage of disabled individuals in Paden city at 21.0% compared to 12.0% in Selma.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Selma | Paden city |
|---|---|---|
| No Schooling | 3.8% (938) | 0.2% (4) |
| High School Diploma | 14.6% (3,577) | 27.2% (666) |
| Less than High School | 33.9% (8,285) | 14.0% (344) |
| Bachelor's Degree and Higher | 7.0% (1,712) | 11.9% (291) |
Education Levels Comparison: Selma vs Paden city
- A higher percentage of residents in Selma have no formal schooling at 3.8% compared to 0.2% in Paden city.
- In Paden city, the rate of residents with high school diplomas is higher at 27.2% compared to 14.6% in Selma.
- More residents in Selma have less than a high school education at 33.9% compared to 14.0% in Paden city.
- In Paden city, a larger share of residents have a bachelor's degree or higher at 11.9% compared to 7.0% in Selma.
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.