Demographics details for Kinston, NC vs Marshall, AR
Population Overview
Compare main population characteristics in Kinston, NC vs Marshall, AR.
| Data | Kinston | Marshall |
|---|---|---|
| Population | 19,365 | 1,339 |
| Median Age | 44.1 years | 52.3 years |
| Median Income | $35,653 | $28,290 |
| Married Families | 23.0% | 33.0% |
| Poverty Level | 22% | 16% |
| Unemployment Rate | 5.1 | 4.2 |
Population Comparison: Kinston vs Marshall
- In Kinston, the population is higher at 19,365, compared to 1,339 in Marshall.
- The median age in Marshall is higher at 52.3 years, compared to 44.1 years in Kinston.
- Kinston has a higher median income of $35,653 compared to $28,290 in Marshall.
- In Marshall, the percentage of married families is higher at 33.0%, compared to 23.0% in Kinston.
- Kinston has a higher poverty level at 22% compared to 16% in Marshall.
- The unemployment rate in Kinston is higher at 5.1%, compared to 4.2% in Marshall.
Demographics
Demographics Kinston vs Marshall provide insight into the diversity of the communities to compare.
| Demographic | Kinston | Marshall |
|---|---|---|
| Black | 70 | Data is updating |
| White | 21 | 84 |
| Asian | 1 | Data is updating |
| Hispanic | 3 | 3 |
| Two or More Races | 5 | 12 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Kinston vs Marshall
- A higher percentage of Black residents are in Kinston at 70% compared to 0% in Marshall.
- The percentage of White residents is higher in Marshall at 84% compared to 21% in Kinston.
- The Asian population is larger in Kinston at 1% compared to 0% in Marshall.
- The percentage of Hispanic residents is the same in both Kinston and Marshall at 3%.
- The percentage of residents identifying as two or more races is higher in Marshall at 12%, compared to 5% in Kinston.
- In Marshall, the percentage of American Indian residents is higher at 1%, compared to 0% in Kinston.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Kinston | Marshall |
|---|---|---|
| Mental Health Not Good | 19.2% | 21.7% |
| Physical Health Not Good | 14.9% | 16.2% |
| Depression | 22.8% | 29.8% |
| Smoking | 24.2% | 27.2% |
| Binge Drinking | 13.6% | 14.7% |
| Obesity | 43.2% | 39.2% |
| Disability Percentage | 31.0% | 30.0% |
Health Statistics Comparison: Kinston vs Marshall
- In Marshall, a higher percentage report poor mental health at 21.7% compared to 19.2% in Kinston.
- Higher depression rates are seen in Marshall at 29.8% versus 22.8% in Kinston.
- Marshall has a higher smoking rate at 27.2% compared to 24.2% in Kinston.
- More residents engage in binge drinking in Marshall at 14.7% compared to 13.6% in Kinston.
- Obesity rates are higher in Kinston at 43.2% compared to 39.2% in Marshall.
- Disability percentages are higher in Kinston at 31.0% compared to 30.0% in Marshall.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Kinston | Marshall |
|---|---|---|
| No Schooling | 1.1% (211) | 0.9% (12) |
| High School Diploma | 20.1% (3,883) | 27.9% (373) |
| Less than High School | 16.6% (3,222) | 32.4% (434) |
| Bachelor's Degree and Higher | 10.3% (2,004) | 11.7% (156) |
Education Levels Comparison: Kinston vs Marshall
- A higher percentage of residents in Kinston have no formal schooling at 1.1% compared to 0.9% in Marshall.
- In Marshall, the rate of residents with high school diplomas is higher at 27.9% compared to 20.1% in Kinston.
- The percentage of residents with less than a high school education is higher in Marshall at 32.4%, compared to 16.6% in Kinston.
- In Marshall, a larger share of residents have a bachelor's degree or higher at 11.7% 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.