Demographics details for Wichita falls, TX vs Kinston, NC
Population Overview
Compare main population characteristics in Wichita falls, TX vs Kinston, NC.
| Data | Wichita falls | Kinston |
|---|---|---|
| Population | 102,664 | 19,365 |
| Median Age | 32.8 years | 44.1 years |
| Median Income | $55,584 | $35,653 |
| Married Families | 34.0% | 23.0% |
| Poverty Level | 14% | 22% |
| Unemployment Rate | 4.9 | 5.1 |
Population Comparison: Wichita falls vs Kinston
- In Wichita falls, the population is higher at 102,664, compared to 19,365 in Kinston.
- The median age in Kinston is higher at 44.1 years, compared to 32.8 years in Wichita falls.
- Wichita falls has a higher median income of $55,584 compared to $35,653 in Kinston.
- A higher percentage of married families is found in Wichita falls at 34.0% compared to 23.0% in Kinston.
- The poverty level is higher in Kinston at 22%, compared to 14% in Wichita falls.
- Kinston has a higher unemployment rate at 5.1% compared to 4.9% in Wichita falls.
Demographics
Demographics Wichita falls vs Kinston provide insight into the diversity of the communities to compare.
| Demographic | Wichita falls | Kinston |
|---|---|---|
| Black | 12 | 70 |
| White | 54 | 21 |
| Asian | 3 | 1 |
| Hispanic | 22 | 3 |
| Two or More Races | 8 | 5 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Wichita falls vs Kinston
- In Kinston, the percentage of Black residents is higher at 70% compared to 12% in Wichita falls.
- Wichita falls has a higher percentage of White residents at 54% compared to 21% in Kinston.
- The Asian population is larger in Wichita falls at 3% compared to 1% in Kinston.
- The Hispanic community is larger in Wichita falls at 22% compared to 3% in Kinston.
- More residents identify as two or more races in Wichita falls at 8% compared to 5% in Kinston.
- A greater percentage of American Indian residents live in Wichita falls at 1% compared to 0% in Kinston.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Wichita falls | Kinston |
|---|---|---|
| Mental Health Not Good | 18.3% | 19.2% |
| Physical Health Not Good | 12.5% | 14.9% |
| Depression | 24.6% | 22.8% |
| Smoking | 18.6% | 24.2% |
| Binge Drinking | 18.7% | 13.6% |
| Obesity | 37.1% | 43.2% |
| Disability Percentage | 13.0% | 31.0% |
Health Statistics Comparison: Wichita falls vs Kinston
- In Kinston, a higher percentage report poor mental health at 19.2% compared to 18.3% in Wichita falls.
- Depression is more prevalent in Wichita falls at 24.6% compared to 22.8% in Kinston.
- Kinston has a higher smoking rate at 24.2% compared to 18.6% in Wichita falls.
- Binge drinking is more common in Wichita falls at 18.7% compared to 13.6% in Kinston.
- Kinston has higher obesity rates at 43.2% compared to 37.1% in Wichita falls.
- There is a higher percentage of disabled individuals in Kinston at 31.0% compared to 13.0% in Wichita falls.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Wichita falls | Kinston |
|---|---|---|
| No Schooling | 1.0% (1,035) | 1.1% (211) |
| High School Diploma | 15.1% (15,510) | 20.1% (3,883) |
| Less than High School | 14.6% (14,970) | 16.6% (3,222) |
| Bachelor's Degree and Higher | 15.1% (15,550) | 10.3% (2,004) |
Education Levels Comparison: Wichita falls vs Kinston
- In Kinston, a larger percentage of residents lack formal schooling at 1.1% compared to 1.0% in Wichita falls.
- In Kinston, the rate of residents with high school diplomas is higher at 20.1% compared to 15.1% in Wichita falls.
- The percentage of residents with less than a high school education is higher in Kinston at 16.6%, compared to 14.6% in Wichita falls.
- A higher percentage of residents in Wichita falls hold a bachelor's degree or higher at 15.1% compared to 10.3% in Kinston.
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.