Demographics details for Kaufman, TX vs Old bridge, NJ
Population Overview
Compare main population characteristics in Kaufman, TX vs Old bridge, NJ.
| Data | Kaufman | Old bridge |
|---|---|---|
| Population | 172,366 | 28,094 |
| Median Age | 34.6 years | 43.2 years |
| Median Income | $84,075 | $104,712 |
| Married Families | 36.0% | 48.0% |
| Poverty Level | 10% | 5% |
| Unemployment Rate | 4.8 | 4.1 |
Population Comparison: Kaufman vs Old bridge
- In Kaufman, the population is higher at 172,366, compared to 28,094 in Old bridge.
- The median age in Old bridge is higher at 43.2 years, compared to 34.6 years in Kaufman.
- Old bridge has a higher median income of $104,712, compared to $84,075 in Kaufman.
- In Old bridge, the percentage of married families is higher at 48.0%, compared to 36.0% in Kaufman.
- Kaufman has a higher poverty level at 10% compared to 5% in Old bridge.
- The unemployment rate in Kaufman is higher at 4.8%, compared to 4.1% in Old bridge.
Demographics
Demographics Kaufman vs Old bridge provide insight into the diversity of the communities to compare.
| Demographic | Kaufman | Old bridge |
|---|---|---|
| Black | 13 | 4 |
| White | 53 | 61 |
| Asian | 1 | 13 |
| Hispanic | 22 | 16 |
| Two or More Races | 11 | 6 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Kaufman vs Old bridge
- A higher percentage of Black residents are in Kaufman at 13% compared to 4% in Old bridge.
- The percentage of White residents is higher in Old bridge at 61% compared to 53% in Kaufman.
- In Old bridge, the Asian population stands at 13%, greater than 1% in Kaufman.
- The Hispanic community is larger in Kaufman at 22% compared to 16% in Old bridge.
- More residents identify as two or more races in Kaufman at 11% compared to 6% in Old bridge.
- The percentage of American Indian residents is the same in both Kaufman and Old bridge at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Kaufman | Old bridge |
|---|---|---|
| Mental Health Not Good | 16.8% | 14.3% |
| Physical Health Not Good | 11.4% | 8.6% |
| Depression | 22.6% | 19.8% |
| Smoking | 16.1% | 11.4% |
| Binge Drinking | 18.2% | 16.2% |
| Obesity | 36.6% | 28.5% |
| Disability Percentage | 9.0% | 11.0% |
Health Statistics Comparison: Kaufman vs Old bridge
- More residents in Kaufman report poor mental health at 16.8% compared to 14.3% in Old bridge.
- Depression is more prevalent in Kaufman at 22.6% compared to 19.8% in Old bridge.
- Smoking is more prevalent in Kaufman at 16.1% compared to 11.4% in Old bridge.
- Binge drinking is more common in Kaufman at 18.2% compared to 16.2% in Old bridge.
- Obesity rates are higher in Kaufman at 36.6% compared to 28.5% in Old bridge.
- There is a higher percentage of disabled individuals in Old bridge at 11.0% compared to 9.0% in Kaufman.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Kaufman | Old bridge |
|---|---|---|
| No Schooling | 1.4% (2,482) | 1.1% (302) |
| High School Diploma | 12.9% (22,235) | 18.8% (5,278) |
| Less than High School | 14.2% (24,496) | 8.2% (2,316) |
| Bachelor's Degree and Higher | 13.1% (22,541) | 28.2% (7,918) |
Education Levels Comparison: Kaufman vs Old bridge
- A higher percentage of residents in Kaufman have no formal schooling at 1.4% compared to 1.1% in Old bridge.
- In Old bridge, the rate of residents with high school diplomas is higher at 18.8% compared to 12.9% in Kaufman.
- More residents in Kaufman have less than a high school education at 14.2% compared to 8.2% in Old bridge.
- In Old bridge, a larger share of residents have a bachelor's degree or higher at 28.2% compared to 13.1% in Kaufman.
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.