Demographics details for Kinston, NC vs Jefferson city, MO
Population Overview
Compare main population characteristics in Kinston, NC vs Jefferson city, MO.
| Data | Kinston | Jefferson city |
|---|---|---|
| Population | 19,365 | 42,528 |
| Median Age | 44.1 years | 38.5 years |
| Median Income | $35,653 | $63,649 |
| Married Families | 23.0% | 37.0% |
| Poverty Level | 22% | 11% |
| Unemployment Rate | 5.1 | 3.9 |
Population Comparison: Kinston vs Jefferson city
- The population in Jefferson city is higher at 42,528, compared to 19,365 in Kinston.
- Residents in Kinston have a higher median age of 44.1 years compared to 38.5 years in Jefferson city.
- Jefferson city has a higher median income of $63,649, compared to $35,653 in Kinston.
- In Jefferson city, the percentage of married families is higher at 37.0%, compared to 23.0% in Kinston.
- Kinston has a higher poverty level at 22% compared to 11% in Jefferson city.
- The unemployment rate in Kinston is higher at 5.1%, compared to 3.9% in Jefferson city.
Demographics
Demographics Kinston vs Jefferson city provide insight into the diversity of the communities to compare.
| Demographic | Kinston | Jefferson city |
|---|---|---|
| Black | 70 | 18 |
| White | 21 | 72 |
| Asian | 1 | 3 |
| Hispanic | 3 | 3 |
| Two or More Races | 5 | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Kinston vs Jefferson city
- A higher percentage of Black residents are in Kinston at 70% compared to 18% in Jefferson city.
- The percentage of White residents is higher in Jefferson city at 72% compared to 21% in Kinston.
- In Jefferson city, the Asian population stands at 3%, greater than 1% in Kinston.
- The percentage of Hispanic residents is the same in both Kinston and Jefferson city at 3%.
- More residents identify as two or more races in Kinston at 5% compared to 4% in Jefferson city.
- The percentage of American Indian residents is the same in both Kinston and Jefferson city at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Kinston | Jefferson city |
|---|---|---|
| Mental Health Not Good | 19.2% | 17.1% |
| Physical Health Not Good | 14.9% | 11.6% |
| Depression | 22.8% | 22.6% |
| Smoking | 24.2% | 18.6% |
| Binge Drinking | 13.6% | 16.9% |
| Obesity | 43.2% | 37.4% |
| Disability Percentage | 31.0% | 11.0% |
Health Statistics Comparison: Kinston vs Jefferson city
- More residents in Kinston report poor mental health at 19.2% compared to 17.1% in Jefferson city.
- Depression is more prevalent in Kinston at 22.8% compared to 22.6% in Jefferson city.
- Smoking is more prevalent in Kinston at 24.2% compared to 18.6% in Jefferson city.
- More residents engage in binge drinking in Jefferson city at 16.9% compared to 13.6% in Kinston.
- Obesity rates are higher in Kinston at 43.2% compared to 37.4% in Jefferson city.
- Disability percentages are higher in Kinston at 31.0% compared to 11.0% in Jefferson city.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Kinston | Jefferson city |
|---|---|---|
| No Schooling | 1.1% (211) | 0.5% (233) |
| High School Diploma | 20.1% (3,883) | 15.9% (6,767) |
| Less than High School | 16.6% (3,222) | 11.0% (4,659) |
| Bachelor's Degree and Higher | 10.3% (2,004) | 24.8% (10,543) |
Education Levels Comparison: Kinston vs Jefferson city
- A higher percentage of residents in Kinston have no formal schooling at 1.1% compared to 0.5% in Jefferson city.
- A higher percentage of residents in Kinston hold a high school diploma at 20.1% compared to 15.9% in Jefferson city.
- More residents in Kinston have less than a high school education at 16.6% compared to 11.0% in Jefferson city.
- In Jefferson city, a larger share of residents have a bachelor's degree or higher at 24.8% 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.