Demographics details for Tipp city, OH vs New bedford, MA
Population Overview
Compare main population characteristics in Tipp city, OH vs New bedford, MA.
| Data | Tipp city | New bedford |
|---|---|---|
| Population | 10,424 | 100,682 |
| Median Age | 40.1 years | 36.8 years |
| Median Income | $74,178 | $54,604 |
| Married Families | 46.0% | 29.0% |
| Poverty Level | 5% | 15% |
| Unemployment Rate | 3.2 | 5.5 |
Population Comparison: Tipp city vs New bedford
- The population in New bedford is higher at 100,682, compared to 10,424 in Tipp city.
- Residents in Tipp city have a higher median age of 40.1 years compared to 36.8 years in New bedford.
- Tipp city has a higher median income of $74,178 compared to $54,604 in New bedford.
- A higher percentage of married families is found in Tipp city at 46.0% compared to 29.0% in New bedford.
- The poverty level is higher in New bedford at 15%, compared to 5% in Tipp city.
- New bedford has a higher unemployment rate at 5.5% compared to 3.2% in Tipp city.
Demographics
Demographics Tipp city vs New bedford provide insight into the diversity of the communities to compare.
| Demographic | Tipp city | New bedford |
|---|---|---|
| Black | 1 | 5 |
| White | 92 | 56 |
| Asian | 2 | 1 |
| Hispanic | 1 | 23 |
| Two or More Races | 4 | 14 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Tipp city vs New bedford
- In New bedford, the percentage of Black residents is higher at 5% compared to 1% in Tipp city.
- Tipp city has a higher percentage of White residents at 92% compared to 56% in New bedford.
- The Asian population is larger in Tipp city at 2% compared to 1% in New bedford.
- New bedford has a higher percentage of Hispanic residents at 23%, compared to 1% in Tipp city.
- The percentage of residents identifying as two or more races is higher in New bedford at 14%, compared to 4% in Tipp city.
- In New bedford, the percentage of American Indian residents is higher at 1%, compared to 0% in Tipp city.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Tipp city | New bedford |
|---|---|---|
| Mental Health Not Good | 15.4% | 19.4% |
| Physical Health Not Good | 9.5% | 13.4% |
| Depression | 21.5% | 24.2% |
| Smoking | 15.4% | 22.3% |
| Binge Drinking | 19.2% | 16.4% |
| Obesity | 36.7% | 33.6% |
| Disability Percentage | 11.0% | 14.0% |
Health Statistics Comparison: Tipp city vs New bedford
- In New bedford, a higher percentage report poor mental health at 19.4% compared to 15.4% in Tipp city.
- Higher depression rates are seen in New bedford at 24.2% versus 21.5% in Tipp city.
- New bedford has a higher smoking rate at 22.3% compared to 15.4% in Tipp city.
- Binge drinking is more common in Tipp city at 19.2% compared to 16.4% in New bedford.
- Obesity rates are higher in Tipp city at 36.7% compared to 33.6% in New bedford.
- There is a higher percentage of disabled individuals in New bedford at 14.0% compared to 11.0% in Tipp city.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Tipp city | New bedford |
|---|---|---|
| No Schooling | 0.6% (61) | 2.7% (2,746) |
| High School Diploma | 15.5% (1,616) | 19.3% (19,436) |
| Less than High School | 6.0% (624) | 28.8% (29,037) |
| Bachelor's Degree and Higher | 23.6% (2,455) | 10.9% (11,005) |
Education Levels Comparison: Tipp city vs New bedford
- In New bedford, a larger percentage of residents lack formal schooling at 2.7% compared to 0.6% in Tipp city.
- In New bedford, the rate of residents with high school diplomas is higher at 19.3% compared to 15.5% in Tipp city.
- The percentage of residents with less than a high school education is higher in New bedford at 28.8%, compared to 6.0% in Tipp city.
- A higher percentage of residents in Tipp city hold a bachelor's degree or higher at 23.6% compared to 10.9% in New bedford.
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.