Demographics details for Arvin, CA vs Whiteville, NC
Population Overview
Compare main population characteristics in Arvin, CA vs Whiteville, NC.
| Data | Arvin | Whiteville |
|---|---|---|
| Population | 19,611 | 5,394 |
| Median Age | 24.9 years | 38.0 years |
| Median Income | $47,997 | $42,000 |
| Married Families | 32.0% | 56.0% |
| Poverty Level | 25% | 20% |
| Unemployment Rate | 6.2 | 5.0 |
Population Comparison: Arvin vs Whiteville
- In Arvin, the population is higher at 19,611, compared to 5,394 in Whiteville.
- The median age in Whiteville is higher at 38.0 years, compared to 24.9 years in Arvin.
- Arvin has a higher median income of $47,997 compared to $42,000 in Whiteville.
- In Whiteville, the percentage of married families is higher at 56.0%, compared to 32.0% in Arvin.
- Arvin has a higher poverty level at 25% compared to 20% in Whiteville.
- The unemployment rate in Arvin is higher at 6.2%, compared to 5.0% in Whiteville.
Demographics
Demographics Arvin vs Whiteville provide insight into the diversity of the communities to compare.
| Demographic | Arvin | Whiteville |
|---|---|---|
| Black | 1 | 30 |
| White | -19 | 60 |
| Asian | 1 | 5 |
| Hispanic | 95 | 5 |
| Two or More Races | 21 | Data is updating |
| American Indian | 1 | Data is updating |
Demographics Comparison: Arvin vs Whiteville
- In Whiteville, the percentage of Black residents is higher at 30% compared to 1% in Arvin.
- The percentage of White residents is higher in Whiteville at 60% compared to -19% in Arvin.
- In Whiteville, the Asian population stands at 5%, greater than 1% in Arvin.
- The Hispanic community is larger in Arvin at 95% compared to 5% in Whiteville.
- More residents identify as two or more races in Arvin at 21% compared to 0% in Whiteville.
- A greater percentage of American Indian residents live in Arvin at 1% compared to 0% in Whiteville.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Arvin | Whiteville |
|---|---|---|
| Mental Health Not Good | 20.3% | Data is updating% |
| Physical Health Not Good | 19.9% | Data is updating% |
| Depression | 20.1% | Data is updating% |
| Smoking | 21.0% | Data is updating% |
| Binge Drinking | 13.5% | Data is updating% |
| Obesity | 42.4% | Data is updating% |
| Disability Percentage | 6.0% | Data is updating% |
Health Statistics Comparison: Arvin vs Whiteville
- More residents in Arvin report poor mental health at 20.3% compared to 0.0% in Whiteville.
- Depression is more prevalent in Arvin at 20.1% compared to 0.0% in Whiteville.
- Smoking is more prevalent in Arvin at 21.0% compared to 0.0% in Whiteville.
- Binge drinking is more common in Arvin at 13.5% compared to 0.0% in Whiteville.
- Obesity rates are higher in Arvin at 42.4% compared to 0.0% in Whiteville.
- Disability percentages are higher in Arvin at 6.0% compared to 0.0% in Whiteville.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Arvin | Whiteville |
|---|---|---|
| No Schooling | 4.3% (840) | 0.0% (Data is updating) |
| High School Diploma | 11.8% (2,305) | 0.0% (Data is updating) |
| Less than High School | 53.7% (10,540) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 2.0% (383) | 0.0% (Data is updating) |
Education Levels Comparison: Arvin vs Whiteville
- A higher percentage of residents in Arvin have no formal schooling at 4.3% compared to 0.0% in Whiteville.
- A higher percentage of residents in Arvin hold a high school diploma at 11.8% compared to 0.0% in Whiteville.
- More residents in Arvin have less than a high school education at 53.7% compared to 0.0% in Whiteville.
- A higher percentage of residents in Arvin hold a bachelor's degree or higher at 2.0% compared to 0.0% in Whiteville.
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.