Demographics details for New bedford, MA vs Arvin, CA
Population Overview
Compare main population characteristics in New bedford, MA vs Arvin, CA.
| Data | New bedford | Arvin |
|---|---|---|
| Population | 100,682 | 19,611 |
| Median Age | 36.8 years | 24.9 years |
| Median Income | $54,604 | $47,997 |
| Married Families | 29.0% | 32.0% |
| Poverty Level | 15% | 25% |
| Unemployment Rate | 5.5 | 6.2 |
Population Comparison: New bedford vs Arvin
- In New bedford, the population is higher at 100,682, compared to 19,611 in Arvin.
- Residents in New bedford have a higher median age of 36.8 years compared to 24.9 years in Arvin.
- New bedford has a higher median income of $54,604 compared to $47,997 in Arvin.
- In Arvin, the percentage of married families is higher at 32.0%, compared to 29.0% in New bedford.
- The poverty level is higher in Arvin at 25%, compared to 15% in New bedford.
- Arvin has a higher unemployment rate at 6.2% compared to 5.5% in New bedford.
Demographics
Demographics New bedford vs Arvin provide insight into the diversity of the communities to compare.
| Demographic | New bedford | Arvin |
|---|---|---|
| Black | 5 | 1 |
| White | 56 | -19 |
| Asian | 1 | 1 |
| Hispanic | 23 | 95 |
| Two or More Races | 14 | 21 |
| American Indian | 1 | 1 |
Demographics Comparison: New bedford vs Arvin
- A higher percentage of Black residents are in New bedford at 5% compared to 1% in Arvin.
- New bedford has a higher percentage of White residents at 56% compared to -19% in Arvin.
- Both New bedford and Arvin have the same percentage of Asian residents at 1%.
- Arvin has a higher percentage of Hispanic residents at 95%, compared to 23% in New bedford.
- The percentage of residents identifying as two or more races is higher in Arvin at 21%, compared to 14% in New bedford.
- The percentage of American Indian residents is the same in both New bedford and Arvin at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | New bedford | Arvin |
|---|---|---|
| Mental Health Not Good | 19.4% | 20.3% |
| Physical Health Not Good | 13.4% | 19.9% |
| Depression | 24.2% | 20.1% |
| Smoking | 22.3% | 21.0% |
| Binge Drinking | 16.4% | 13.5% |
| Obesity | 33.6% | 42.4% |
| Disability Percentage | 14.0% | 6.0% |
Health Statistics Comparison: New bedford vs Arvin
- In Arvin, a higher percentage report poor mental health at 20.3% compared to 19.4% in New bedford.
- Depression is more prevalent in New bedford at 24.2% compared to 20.1% in Arvin.
- Smoking is more prevalent in New bedford at 22.3% compared to 21.0% in Arvin.
- Binge drinking is more common in New bedford at 16.4% compared to 13.5% in Arvin.
- Arvin has higher obesity rates at 42.4% compared to 33.6% in New bedford.
- Disability percentages are higher in New bedford at 14.0% compared to 6.0% in Arvin.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | New bedford | Arvin |
|---|---|---|
| No Schooling | 2.7% (2,746) | 4.3% (840) |
| High School Diploma | 19.3% (19,436) | 11.8% (2,305) |
| Less than High School | 28.8% (29,037) | 53.7% (10,540) |
| Bachelor's Degree and Higher | 10.9% (11,005) | 2.0% (383) |
Education Levels Comparison: New bedford vs Arvin
- In Arvin, a larger percentage of residents lack formal schooling at 4.3% compared to 2.7% in New bedford.
- A higher percentage of residents in New bedford hold a high school diploma at 19.3% compared to 11.8% in Arvin.
- The percentage of residents with less than a high school education is higher in Arvin at 53.7%, compared to 28.8% in New bedford.
- A higher percentage of residents in New bedford hold a bachelor's degree or higher at 10.9% compared to 2.0% in Arvin.
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.