Demographics details for Kenansville, NC vs Wyandotte, MI
Population Overview
Compare main population characteristics in Kenansville, NC vs Wyandotte, MI.
Data | Kenansville | Wyandotte |
---|---|---|
Population | 759 | 24,503 |
Median Age | 48.4 years | 39.6 years |
Median Income | $53,750 | $62,111 |
Married Families | 45.0% | 35.0% |
Poverty Level | 15% | 10% |
Unemployment Rate | 4.2 | 4.2 |
Population Comparison: Kenansville vs Wyandotte
- The population in Wyandotte is higher at 24,503, compared to 759 in Kenansville.
- Residents in Kenansville have a higher median age of 48.4 years compared to 39.6 years in Wyandotte.
- Wyandotte has a higher median income of $62,111, compared to $53,750 in Kenansville.
- A higher percentage of married families is found in Kenansville at 45.0% compared to 35.0% in Wyandotte.
- Kenansville has a higher poverty level at 15% compared to 10% in Wyandotte.
- The unemployment rate is the same in both Kenansville and Wyandotte at 4.2%.
Demographics
Demographics Kenansville vs Wyandotte provide insight into the diversity of the communities to compare.
Demographic | Kenansville | Wyandotte |
---|---|---|
Black | 20 | 2 |
White | 61 | 85 |
Asian | 7 | 1 |
Hispanic | 6 | 7 |
Two or More Races | 6 | 5 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Kenansville vs Wyandotte
- A higher percentage of Black residents are in Kenansville at 20% compared to 2% in Wyandotte.
- The percentage of White residents is higher in Wyandotte at 85% compared to 61% in Kenansville.
- The Asian population is larger in Kenansville at 7% compared to 1% in Wyandotte.
- Wyandotte has a higher percentage of Hispanic residents at 7%, compared to 6% in Kenansville.
- More residents identify as two or more races in Kenansville at 6% compared to 5% in Wyandotte.
- The percentage of American Indian residents is the same in both Kenansville and Wyandotte at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Kenansville | Wyandotte |
---|---|---|
Mental Health Not Good | 18.4% | 17.6% |
Physical Health Not Good | 13.4% | 11.5% |
Depression | 24.3% | 25.3% |
Smoking | 21.6% | 20.8% |
Binge Drinking | 15.6% | 19.5% |
Obesity | 44.0% | 32.1% |
Disability Percentage | 26.0% | 16.0% |
Health Statistics Comparison: Kenansville vs Wyandotte
- More residents in Kenansville report poor mental health at 18.4% compared to 17.6% in Wyandotte.
- Higher depression rates are seen in Wyandotte at 25.3% versus 24.3% in Kenansville.
- Smoking is more prevalent in Kenansville at 21.6% compared to 20.8% in Wyandotte.
- More residents engage in binge drinking in Wyandotte at 19.5% compared to 15.6% in Kenansville.
- Obesity rates are higher in Kenansville at 44.0% compared to 32.1% in Wyandotte.
- Disability percentages are higher in Kenansville at 26.0% compared to 16.0% in Wyandotte.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Kenansville | Wyandotte |
---|---|---|
No Schooling | 1.6% (12) | 1.1% (280) |
High School Diploma | 24.0% (182) | 21.6% (5,291) |
Less than High School | 13.8% (105) | 12.0% (2,952) |
Bachelor's Degree and Higher | 22.5% (171) | 16.2% (3,980) |
Education Levels Comparison: Kenansville vs Wyandotte
- A higher percentage of residents in Kenansville have no formal schooling at 1.6% compared to 1.1% in Wyandotte.
- A higher percentage of residents in Kenansville hold a high school diploma at 24.0% compared to 21.6% in Wyandotte.
- More residents in Kenansville have less than a high school education at 13.8% compared to 12.0% in Wyandotte.
- A higher percentage of residents in Kenansville hold a bachelor's degree or higher at 22.5% compared to 16.2% in Wyandotte.
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.