Demographics details for Irving, TX vs Kinston, NC
Population Overview
Compare main population characteristics in Irving, TX vs Kinston, NC.
| Data | Irving | Kinston |
|---|---|---|
| Population | 254,715 | 19,365 |
| Median Age | 32.4 years | 44.1 years |
| Median Income | $76,686 | $35,653 |
| Married Families | 39.0% | 23.0% |
| Poverty Level | 12% | 22% |
| Unemployment Rate | 3.9 | 5.1 |
Population Comparison: Irving vs Kinston
- In Irving, the population is higher at 254,715, compared to 19,365 in Kinston.
- The median age in Kinston is higher at 44.1 years, compared to 32.4 years in Irving.
- Irving has a higher median income of $76,686 compared to $35,653 in Kinston.
- A higher percentage of married families is found in Irving at 39.0% compared to 23.0% in Kinston.
- The poverty level is higher in Kinston at 22%, compared to 12% in Irving.
- Kinston has a higher unemployment rate at 5.1% compared to 3.9% in Irving.
Demographics
Demographics Irving vs Kinston provide insight into the diversity of the communities to compare.
| Demographic | Irving | Kinston |
|---|---|---|
| Black | 13 | 70 |
| White | 11 | 21 |
| Asian | 22 | 1 |
| Hispanic | 43 | 3 |
| Two or More Races | 11 | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Irving vs Kinston
- In Kinston, the percentage of Black residents is higher at 70% compared to 13% in Irving.
- The percentage of White residents is higher in Kinston at 21% compared to 11% in Irving.
- The Asian population is larger in Irving at 22% compared to 1% in Kinston.
- The Hispanic community is larger in Irving at 43% compared to 3% in Kinston.
- More residents identify as two or more races in Irving at 11% compared to 5% in Kinston.
- The percentage of American Indian residents is the same in both Irving and Kinston at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Irving | Kinston |
|---|---|---|
| Mental Health Not Good | 15.9% | 19.2% |
| Physical Health Not Good | 11.6% | 14.9% |
| Depression | 21.0% | 22.8% |
| Smoking | 15.4% | 24.2% |
| Binge Drinking | 17.4% | 13.6% |
| Obesity | 32.4% | 43.2% |
| Disability Percentage | 7.0% | 31.0% |
Health Statistics Comparison: Irving vs Kinston
- In Kinston, a higher percentage report poor mental health at 19.2% compared to 15.9% in Irving.
- Higher depression rates are seen in Kinston at 22.8% versus 21.0% in Irving.
- Kinston has a higher smoking rate at 24.2% compared to 15.4% in Irving.
- Binge drinking is more common in Irving at 17.4% compared to 13.6% in Kinston.
- Kinston has higher obesity rates at 43.2% compared to 32.4% in Irving.
- There is a higher percentage of disabled individuals in Kinston at 31.0% compared to 7.0% in Irving.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Irving | Kinston |
|---|---|---|
| No Schooling | 1.8% (4,699) | 1.1% (211) |
| High School Diploma | 10.3% (26,322) | 20.1% (3,883) |
| Less than High School | 24.8% (63,108) | 16.6% (3,222) |
| Bachelor's Degree and Higher | 26.1% (66,363) | 10.3% (2,004) |
Education Levels Comparison: Irving vs Kinston
- A higher percentage of residents in Irving have no formal schooling at 1.8% compared to 1.1% in Kinston.
- In Kinston, the rate of residents with high school diplomas is higher at 20.1% compared to 10.3% in Irving.
- More residents in Irving have less than a high school education at 24.8% compared to 16.6% in Kinston.
- A higher percentage of residents in Irving hold a bachelor's degree or higher at 26.1% 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.