Demographics details for Kings mountain, NC vs Dayton, TN
Population Overview
Compare main population characteristics in Kings mountain, NC vs Dayton, TN.
Data | Kings mountain | Dayton |
---|---|---|
Population | 11,638 | 7,347 |
Median Age | 41.5 years | 34.6 years |
Median Income | $45,301 | $54,511 |
Married Families | 24.0% | 36.0% |
Poverty Level | 11% | 15% |
Unemployment Rate | 4.2 | 3.5 |
Population Comparison: Kings mountain vs Dayton
- In Kings mountain, the population is higher at 11,638, compared to 7,347 in Dayton.
- Residents in Kings mountain have a higher median age of 41.5 years compared to 34.6 years in Dayton.
- Dayton has a higher median income of $54,511, compared to $45,301 in Kings mountain.
- In Dayton, the percentage of married families is higher at 36.0%, compared to 24.0% in Kings mountain.
- The poverty level is higher in Dayton at 15%, compared to 11% in Kings mountain.
- The unemployment rate in Kings mountain is higher at 4.2%, compared to 3.5% in Dayton.
Demographics
Demographics Kings mountain vs Dayton provide insight into the diversity of the communities to compare.
Demographic | Kings mountain | Dayton |
---|---|---|
Black | 25 | 4 |
White | 68 | 83 |
Asian | 2 | 2 |
Hispanic | 2 | 6 |
Two or More Races | 3 | 5 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Kings mountain vs Dayton
- A higher percentage of Black residents are in Kings mountain at 25% compared to 4% in Dayton.
- The percentage of White residents is higher in Dayton at 83% compared to 68% in Kings mountain.
- Both Kings mountain and Dayton have the same percentage of Asian residents at 2%.
- Dayton has a higher percentage of Hispanic residents at 6%, compared to 2% in Kings mountain.
- The percentage of residents identifying as two or more races is higher in Dayton at 5%, compared to 3% in Kings mountain.
- The percentage of American Indian residents is the same in both Kings mountain and Dayton at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Kings mountain | Dayton |
---|---|---|
Mental Health Not Good | 18.3% | 22.9% |
Physical Health Not Good | 13.1% | 17.4% |
Depression | 25.7% | 32.0% |
Smoking | 20.9% | 28.8% |
Binge Drinking | 16.3% | 13.4% |
Obesity | 38.0% | 44.2% |
Disability Percentage | 14.0% | 20.0% |
Health Statistics Comparison: Kings mountain vs Dayton
- In Dayton, a higher percentage report poor mental health at 22.9% compared to 18.3% in Kings mountain.
- Higher depression rates are seen in Dayton at 32.0% versus 25.7% in Kings mountain.
- Dayton has a higher smoking rate at 28.8% compared to 20.9% in Kings mountain.
- Binge drinking is more common in Kings mountain at 16.3% compared to 13.4% in Dayton.
- Dayton has higher obesity rates at 44.2% compared to 38.0% in Kings mountain.
- There is a higher percentage of disabled individuals in Dayton at 20.0% compared to 14.0% in Kings mountain.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Kings mountain | Dayton |
---|---|---|
No Schooling | 0.4% (43) | 2.0% (145) |
High School Diploma | 21.7% (2,528) | 19.8% (1,453) |
Less than High School | 17.8% (2,071) | 23.6% (1,732) |
Bachelor's Degree and Higher | 11.6% (1,353) | 10.7% (783) |
Education Levels Comparison: Kings mountain vs Dayton
- In Dayton, a larger percentage of residents lack formal schooling at 2.0% compared to 0.4% in Kings mountain.
- A higher percentage of residents in Kings mountain hold a high school diploma at 21.7% compared to 19.8% in Dayton.
- The percentage of residents with less than a high school education is higher in Dayton at 23.6%, compared to 17.8% in Kings mountain.
- A higher percentage of residents in Kings mountain hold a bachelor's degree or higher at 11.6% compared to 10.7% in Dayton.
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.