Demographics details for Westfield, NJ vs Billings, MT
Population Overview
Compare main population characteristics in Westfield, NJ vs Billings, MT.
| Data | Westfield | Billings |
|---|---|---|
| Population | 30,539 | 119,960 |
| Median Age | 40.4 years | 37.7 years |
| Median Income | $203,235 | $69,692 |
| Married Families | 50.0% | 37.0% |
| Poverty Level | Data is updating | 10% |
| Unemployment Rate | 3.9 | 3.5 |
Population Comparison: Westfield vs Billings
- The population in Billings is higher at 119,960, compared to 30,539 in Westfield.
- Residents in Westfield have a higher median age of 40.4 years compared to 37.7 years in Billings.
- Westfield has a higher median income of $203,235 compared to $69,692 in Billings.
- A higher percentage of married families is found in Westfield at 50.0% compared to 37.0% in Billings.
- The poverty level is higher in Billings at 10%, compared to 0% in Westfield.
- The unemployment rate in Westfield is higher at 3.9%, compared to 3.5% in Billings.
Demographics
Demographics Westfield vs Billings provide insight into the diversity of the communities to compare.
| Demographic | Westfield | Billings |
|---|---|---|
| Black | 3 | 1 |
| White | 74 | 82 |
| Asian | 8 | 1 |
| Hispanic | 8 | 7 |
| Two or More Races | 7 | 5 |
| American Indian | Data is updating | 4 |
Demographics Comparison: Westfield vs Billings
- A higher percentage of Black residents are in Westfield at 3% compared to 1% in Billings.
- The percentage of White residents is higher in Billings at 82% compared to 74% in Westfield.
- The Asian population is larger in Westfield at 8% compared to 1% in Billings.
- The Hispanic community is larger in Westfield at 8% compared to 7% in Billings.
- More residents identify as two or more races in Westfield at 7% compared to 5% in Billings.
- In Billings, the percentage of American Indian residents is higher at 4%, compared to 0% in Westfield.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Westfield | Billings |
|---|---|---|
| Mental Health Not Good | 12.0% | 16.6% |
| Physical Health Not Good | 7.1% | 11.1% |
| Depression | 17.8% | 27.8% |
| Smoking | 8.1% | 16.1% |
| Binge Drinking | 19.3% | 22.9% |
| Obesity | 21.9% | 32.9% |
| Disability Percentage | 5.0% | 13.0% |
Health Statistics Comparison: Westfield vs Billings
- In Billings, a higher percentage report poor mental health at 16.6% compared to 12.0% in Westfield.
- Higher depression rates are seen in Billings at 27.8% versus 17.8% in Westfield.
- Billings has a higher smoking rate at 16.1% compared to 8.1% in Westfield.
- More residents engage in binge drinking in Billings at 22.9% compared to 19.3% in Westfield.
- Billings has higher obesity rates at 32.9% compared to 21.9% in Westfield.
- There is a higher percentage of disabled individuals in Billings at 13.0% compared to 5.0% in Westfield.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Westfield | Billings |
|---|---|---|
| No Schooling | 0.2% (68) | 0.3% (321) |
| High School Diploma | 6.1% (1,873) | 14.7% (17,691) |
| Less than High School | 1.7% (513) | 5.4% (6,502) |
| Bachelor's Degree and Higher | 50.6% (15,460) | 24.8% (29,705) |
Education Levels Comparison: Westfield vs Billings
- In Billings, a larger percentage of residents lack formal schooling at 0.3% compared to 0.2% in Westfield.
- In Billings, the rate of residents with high school diplomas is higher at 14.7% compared to 6.1% in Westfield.
- The percentage of residents with less than a high school education is higher in Billings at 5.4%, compared to 1.7% in Westfield.
- A higher percentage of residents in Westfield hold a bachelor's degree or higher at 50.6% compared to 24.8% in Billings.
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.