Demographics details for Cumberland gap, TN vs Orange, CA
Population Overview
Compare main population characteristics in Cumberland gap, TN vs Orange, CA.
| Data | Cumberland gap | Orange |
|---|---|---|
| Population | 317 | 136,178 |
| Median Age | 26.9 years | 36.5 years |
| Median Income | $34,688 | $109,335 |
| Married Families | 38.0% | 40.0% |
| Poverty Level | Data is updating | 9% |
| Unemployment Rate | 3.5 | 4.1 |
Population Comparison: Cumberland gap vs Orange
- The population in Orange is higher at 136,178, compared to 317 in Cumberland gap.
- The median age in Orange is higher at 36.5 years, compared to 26.9 years in Cumberland gap.
- Orange has a higher median income of $109,335, compared to $34,688 in Cumberland gap.
- In Orange, the percentage of married families is higher at 40.0%, compared to 38.0% in Cumberland gap.
- The poverty level is higher in Orange at 9%, compared to 0% in Cumberland gap.
- Orange has a higher unemployment rate at 4.1% compared to 3.5% in Cumberland gap.
Demographics
Demographics Cumberland gap vs Orange provide insight into the diversity of the communities to compare.
| Demographic | Cumberland gap | Orange |
|---|---|---|
| Black | 2 | 2 |
| White | 87 | 29 |
| Asian | 1 | 14 |
| Hispanic | 3 | 40 |
| Two or More Races | 7 | 14 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Cumberland gap vs Orange
- The percentage of Black residents is the same in both Cumberland gap and Orange at 2%.
- Cumberland gap has a higher percentage of White residents at 87% compared to 29% in Orange.
- In Orange, the Asian population stands at 14%, greater than 1% in Cumberland gap.
- Orange has a higher percentage of Hispanic residents at 40%, compared to 3% in Cumberland gap.
- The percentage of residents identifying as two or more races is higher in Orange at 14%, compared to 7% in Cumberland gap.
- In Orange, the percentage of American Indian residents is higher at 1%, compared to 0% in Cumberland gap.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Cumberland gap | Orange |
|---|---|---|
| Mental Health Not Good | 18.3% | 14.9% |
| Physical Health Not Good | 12.6% | 10.2% |
| Depression | 28.7% | 17.9% |
| Smoking | 20.7% | 10.5% |
| Binge Drinking | 16.3% | 16.8% |
| Obesity | 34.6% | 27.1% |
| Disability Percentage | 21.0% | 8.0% |
Health Statistics Comparison: Cumberland gap vs Orange
- More residents in Cumberland gap report poor mental health at 18.3% compared to 14.9% in Orange.
- Depression is more prevalent in Cumberland gap at 28.7% compared to 17.9% in Orange.
- Smoking is more prevalent in Cumberland gap at 20.7% compared to 10.5% in Orange.
- More residents engage in binge drinking in Orange at 16.8% compared to 16.3% in Cumberland gap.
- Obesity rates are higher in Cumberland gap at 34.6% compared to 27.1% in Orange.
- Disability percentages are higher in Cumberland gap at 21.0% compared to 8.0% in Orange.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Cumberland gap | Orange |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 1.8% (2,483) |
| High School Diploma | 7.9% (25) | 11.0% (14,986) |
| Less than High School | 5.0% (16) | 15.5% (21,174) |
| Bachelor's Degree and Higher | 33.8% (107) | 28.2% (38,372) |
Education Levels Comparison: Cumberland gap vs Orange
- In Orange, a larger percentage of residents lack formal schooling at 1.8% compared to 0.0% in Cumberland gap.
- In Orange, the rate of residents with high school diplomas is higher at 11.0% compared to 7.9% in Cumberland gap.
- The percentage of residents with less than a high school education is higher in Orange at 15.5%, compared to 5.0% in Cumberland gap.
- A higher percentage of residents in Cumberland gap hold a bachelor's degree or higher at 33.8% compared to 28.2% in Orange.
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.