Demographics details for Colbert, OK vs Old bridge, NJ
Population Overview
Compare main population characteristics in Colbert, OK vs Old bridge, NJ.
| Data | Colbert | Old bridge |
|---|---|---|
| Population | 1,074 | 28,094 |
| Median Age | 43.9 years | 43.2 years |
| Median Income | $53,600 | $104,712 |
| Married Families | 44.0% | 48.0% |
| Poverty Level | 15% | 5% |
| Unemployment Rate | 3.5 | 4.1 |
Population Comparison: Colbert vs Old bridge
- The population in Old bridge is higher at 28,094, compared to 1,074 in Colbert.
- Residents in Colbert have a higher median age of 43.9 years compared to 43.2 years in Old bridge.
- Old bridge has a higher median income of $104,712, compared to $53,600 in Colbert.
- In Old bridge, the percentage of married families is higher at 48.0%, compared to 44.0% in Colbert.
- Colbert has a higher poverty level at 15% compared to 5% in Old bridge.
- Old bridge has a higher unemployment rate at 4.1% compared to 3.5% in Colbert.
Demographics
Demographics Colbert vs Old bridge provide insight into the diversity of the communities to compare.
| Demographic | Colbert | Old bridge |
|---|---|---|
| Black | 12 | 4 |
| White | 66 | 61 |
| Asian | Data is updating | 13 |
| Hispanic | 4 | 16 |
| Two or More Races | 8 | 6 |
| American Indian | 10 | Data is updating |
Demographics Comparison: Colbert vs Old bridge
- A higher percentage of Black residents are in Colbert at 12% compared to 4% in Old bridge.
- Colbert has a higher percentage of White residents at 66% compared to 61% in Old bridge.
- In Old bridge, the Asian population stands at 13%, greater than 0% in Colbert.
- Old bridge has a higher percentage of Hispanic residents at 16%, compared to 4% in Colbert.
- More residents identify as two or more races in Colbert at 8% compared to 6% in Old bridge.
- A greater percentage of American Indian residents live in Colbert at 10% compared to 0% in Old bridge.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Colbert | Old bridge |
|---|---|---|
| Mental Health Not Good | 19.1% | 14.3% |
| Physical Health Not Good | 13.7% | 8.6% |
| Depression | 25.5% | 19.8% |
| Smoking | 21.6% | 11.4% |
| Binge Drinking | 14.3% | 16.2% |
| Obesity | 43.2% | 28.5% |
| Disability Percentage | 26.0% | 11.0% |
Health Statistics Comparison: Colbert vs Old bridge
- More residents in Colbert report poor mental health at 19.1% compared to 14.3% in Old bridge.
- Depression is more prevalent in Colbert at 25.5% compared to 19.8% in Old bridge.
- Smoking is more prevalent in Colbert at 21.6% compared to 11.4% in Old bridge.
- More residents engage in binge drinking in Old bridge at 16.2% compared to 14.3% in Colbert.
- Obesity rates are higher in Colbert at 43.2% compared to 28.5% in Old bridge.
- Disability percentages are higher in Colbert at 26.0% compared to 11.0% in Old bridge.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Colbert | Old bridge |
|---|---|---|
| No Schooling | 0.5% (5) | 1.1% (302) |
| High School Diploma | 33.7% (362) | 18.8% (5,278) |
| Less than High School | 31.4% (337) | 8.2% (2,316) |
| Bachelor's Degree and Higher | 16.8% (180) | 28.2% (7,918) |
Education Levels Comparison: Colbert vs Old bridge
- In Old bridge, a larger percentage of residents lack formal schooling at 1.1% compared to 0.5% in Colbert.
- A higher percentage of residents in Colbert hold a high school diploma at 33.7% compared to 18.8% in Old bridge.
- More residents in Colbert have less than a high school education at 31.4% 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 16.8% in Colbert.
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.