Demographics details for Corpus christi, TX vs Oxford, NJ
Population Overview
Compare main population characteristics in Corpus christi, TX vs Oxford, NJ.
Data | Corpus christi | Oxford |
---|---|---|
Population | 316,239 | 1,249 |
Median Age | 35.7 years | 43.1 years |
Median Income | $64,449 | $60,833 |
Married Families | 36.0% | 32.0% |
Poverty Level | 16% | 5% |
Unemployment Rate | 4.8 | 3.2 |
Population Comparison: Corpus christi vs Oxford
- In Corpus christi, the population is higher at 316,239, compared to 1,249 in Oxford.
- The median age in Oxford is higher at 43.1 years, compared to 35.7 years in Corpus christi.
- Corpus christi has a higher median income of $64,449 compared to $60,833 in Oxford.
- A higher percentage of married families is found in Corpus christi at 36.0% compared to 32.0% in Oxford.
- Corpus christi has a higher poverty level at 16% compared to 5% in Oxford.
- The unemployment rate in Corpus christi is higher at 4.8%, compared to 3.2% in Oxford.
Demographics
Demographics Corpus christi vs Oxford provide insight into the diversity of the communities to compare.
Demographic | Corpus christi | Oxford |
---|---|---|
Black | 4 | 2 |
White | 3 | 77 |
Asian | 2 | 1 |
Hispanic | 65 | 16 |
Two or More Races | 26 | 4 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Corpus christi vs Oxford
- A higher percentage of Black residents are in Corpus christi at 4% compared to 2% in Oxford.
- The percentage of White residents is higher in Oxford at 77% compared to 3% in Corpus christi.
- The Asian population is larger in Corpus christi at 2% compared to 1% in Oxford.
- The Hispanic community is larger in Corpus christi at 65% compared to 16% in Oxford.
- More residents identify as two or more races in Corpus christi at 26% compared to 4% in Oxford.
- The percentage of American Indian residents is the same in both Corpus christi and Oxford at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Corpus christi | Oxford |
---|---|---|
Mental Health Not Good | 17.7% | 16.5% |
Physical Health Not Good | 12.7% | 10.7% |
Depression | 22.2% | 23.4% |
Smoking | 16.0% | 16.2% |
Binge Drinking | 19.2% | 18.9% |
Obesity | 40.4% | 31.2% |
Disability Percentage | 12.0% | 20.0% |
Health Statistics Comparison: Corpus christi vs Oxford
- More residents in Corpus christi report poor mental health at 17.7% compared to 16.5% in Oxford.
- Higher depression rates are seen in Oxford at 23.4% versus 22.2% in Corpus christi.
- Oxford has a higher smoking rate at 16.2% compared to 16.0% in Corpus christi.
- Binge drinking is more common in Corpus christi at 19.2% compared to 18.9% in Oxford.
- Obesity rates are higher in Corpus christi at 40.4% compared to 31.2% in Oxford.
- There is a higher percentage of disabled individuals in Oxford at 20.0% compared to 12.0% in Corpus christi.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Corpus christi | Oxford |
---|---|---|
No Schooling | 1.4% (4,372) | 0.5% (6) |
High School Diploma | 15.5% (49,006) | 29.1% (364) |
Less than High School | 19.4% (61,231) | 13.1% (164) |
Bachelor's Degree and Higher | 15.2% (47,964) | 21.3% (266) |
Education Levels Comparison: Corpus christi vs Oxford
- A higher percentage of residents in Corpus christi have no formal schooling at 1.4% compared to 0.5% in Oxford.
- In Oxford, the rate of residents with high school diplomas is higher at 29.1% compared to 15.5% in Corpus christi.
- More residents in Corpus christi have less than a high school education at 19.4% compared to 13.1% in Oxford.
- In Oxford, a larger share of residents have a bachelor's degree or higher at 21.3% compared to 15.2% in Corpus christi.
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.