Demographics details for Kansas city, MO vs Oxford, NC
Population Overview
Compare main population characteristics in Kansas city, MO vs Oxford, NC.
| Data | Kansas city | Oxford |
|---|---|---|
| Population | 509,297 | 8,771 |
| Median Age | 35.4 years | 43.1 years |
| Median Income | $65,256 | $42,016 |
| Married Families | 32.0% | 29.0% |
| Poverty Level | 15% | 12% |
| Unemployment Rate | 4.3 | 4.1 |
Population Comparison: Kansas city vs Oxford
- In Kansas city, the population is higher at 509,297, compared to 8,771 in Oxford.
- The median age in Oxford is higher at 43.1 years, compared to 35.4 years in Kansas city.
- Kansas city has a higher median income of $65,256 compared to $42,016 in Oxford.
- A higher percentage of married families is found in Kansas city at 32.0% compared to 29.0% in Oxford.
- Kansas city has a higher poverty level at 15% compared to 12% in Oxford.
- The unemployment rate in Kansas city is higher at 4.3%, compared to 4.1% in Oxford.
Demographics
Demographics Kansas city vs Oxford provide insight into the diversity of the communities to compare.
| Demographic | Kansas city | Oxford |
|---|---|---|
| Black | 26 | 55 |
| White | 53 | 31 |
| Asian | 3 | 1 |
| Hispanic | 11 | 6 |
| Two or More Races | 7 | 7 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Kansas city vs Oxford
- In Oxford, the percentage of Black residents is higher at 55% compared to 26% in Kansas city.
- Kansas city has a higher percentage of White residents at 53% compared to 31% in Oxford.
- The Asian population is larger in Kansas city at 3% compared to 1% in Oxford.
- The Hispanic community is larger in Kansas city at 11% compared to 6% in Oxford.
- Both Kansas city and Oxford have the same percentage of residents identifying as two or more races at 7%.
- The percentage of American Indian residents is the same in both Kansas city and Oxford at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Kansas city | Oxford |
|---|---|---|
| Mental Health Not Good | 18.0% | 17.7% |
| Physical Health Not Good | 12.5% | 13.3% |
| Depression | 21.7% | 22.8% |
| Smoking | 18.7% | 20.8% |
| Binge Drinking | 18.2% | 14.8% |
| Obesity | 40.9% | 45.0% |
| Disability Percentage | 12.0% | 15.0% |
Health Statistics Comparison: Kansas city vs Oxford
- More residents in Kansas city report poor mental health at 18.0% compared to 17.7% in Oxford.
- Higher depression rates are seen in Oxford at 22.8% versus 21.7% in Kansas city.
- Oxford has a higher smoking rate at 20.8% compared to 18.7% in Kansas city.
- Binge drinking is more common in Kansas city at 18.2% compared to 14.8% in Oxford.
- Oxford has higher obesity rates at 45.0% compared to 40.9% in Kansas city.
- There is a higher percentage of disabled individuals in Oxford at 15.0% compared to 12.0% in Kansas city.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Kansas city | Oxford |
|---|---|---|
| No Schooling | 1.0% (4,964) | 2.9% (256) |
| High School Diploma | 14.5% (73,825) | 15.8% (1,386) |
| Less than High School | 9.4% (47,724) | 11.2% (980) |
| Bachelor's Degree and Higher | 25.1% (128,008) | 16.6% (1,457) |
Education Levels Comparison: Kansas city vs Oxford
- In Oxford, a larger percentage of residents lack formal schooling at 2.9% compared to 1.0% in Kansas city.
- In Oxford, the rate of residents with high school diplomas is higher at 15.8% compared to 14.5% in Kansas city.
- The percentage of residents with less than a high school education is higher in Oxford at 11.2%, compared to 9.4% in Kansas city.
- A higher percentage of residents in Kansas city hold a bachelor's degree or higher at 25.1% compared to 16.6% in Oxford.
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.