Demographics details for Selma, CA vs Zionville, NC
Population Overview
Compare main population characteristics in Selma, CA vs Zionville, NC.
Data | Selma | Zionville |
---|---|---|
Population | 24,430 | 701 |
Median Age | 31.3 years | 38.0 years |
Median Income | $53,874 | $59,000 |
Married Families | 30.0% | 75.0% |
Poverty Level | 20% | 10% |
Unemployment Rate | 6.5 | 5.2 |
Population Comparison: Selma vs Zionville
- In Selma, the population is higher at 24,430, compared to 701 in Zionville.
- The median age in Zionville is higher at 38.0 years, compared to 31.3 years in Selma.
- Zionville has a higher median income of $59,000, compared to $53,874 in Selma.
- In Zionville, the percentage of married families is higher at 75.0%, compared to 30.0% in Selma.
- Selma has a higher poverty level at 20% compared to 10% in Zionville.
- The unemployment rate in Selma is higher at 6.5%, compared to 5.2% in Zionville.
Demographics
Demographics Selma vs Zionville provide insight into the diversity of the communities to compare.
Demographic | Selma | Zionville |
---|---|---|
Black | 1 | 5 |
White | -2 | 90 |
Asian | 3 | 2 |
Hispanic | 84 | 3 |
Two or More Races | 13 | Data is updating |
American Indian | 1 | Data is updating |
Demographics Comparison: Selma vs Zionville
- In Zionville, the percentage of Black residents is higher at 5% compared to 1% in Selma.
- The percentage of White residents is higher in Zionville at 90% compared to -2% in Selma.
- The Asian population is larger in Selma at 3% compared to 2% in Zionville.
- The Hispanic community is larger in Selma at 84% compared to 3% in Zionville.
- More residents identify as two or more races in Selma at 13% compared to 0% in Zionville.
- A greater percentage of American Indian residents live in Selma at 1% compared to 0% in Zionville.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Selma | Zionville |
---|---|---|
Mental Health Not Good | 18.0% | Data is updating% |
Physical Health Not Good | 15.1% | Data is updating% |
Depression | 17.4% | Data is updating% |
Smoking | 15.7% | Data is updating% |
Binge Drinking | 13.6% | Data is updating% |
Obesity | 40.5% | Data is updating% |
Disability Percentage | 12.0% | Data is updating% |
Health Statistics Comparison: Selma vs Zionville
- More residents in Selma report poor mental health at 18.0% compared to 0.0% in Zionville.
- Depression is more prevalent in Selma at 17.4% compared to 0.0% in Zionville.
- Smoking is more prevalent in Selma at 15.7% compared to 0.0% in Zionville.
- Binge drinking is more common in Selma at 13.6% compared to 0.0% in Zionville.
- Obesity rates are higher in Selma at 40.5% compared to 0.0% in Zionville.
- Disability percentages are higher in Selma at 12.0% compared to 0.0% in Zionville.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Selma | Zionville |
---|---|---|
No Schooling | 3.8% (938) | 0.0% (Data is updating) |
High School Diploma | 14.6% (3,577) | 0.0% (Data is updating) |
Less than High School | 33.9% (8,285) | 0.0% (Data is updating) |
Bachelor's Degree and Higher | 7.0% (1,712) | 0.0% (Data is updating) |
Education Levels Comparison: Selma vs Zionville
- A higher percentage of residents in Selma have no formal schooling at 3.8% compared to 0.0% in Zionville.
- A higher percentage of residents in Selma hold a high school diploma at 14.6% compared to 0.0% in Zionville.
- More residents in Selma have less than a high school education at 33.9% compared to 0.0% in Zionville.
- A higher percentage of residents in Selma hold a bachelor's degree or higher at 7.0% compared to 0.0% in Zionville.
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.