Demographics details for Wheeler, TX vs Kings mountain, NC
Population Overview
Compare main population characteristics in Wheeler, TX vs Kings mountain, NC.
Data | Wheeler | Kings mountain |
---|---|---|
Population | 4,807 | 11,638 |
Median Age | 40.0 years | 41.5 years |
Median Income | $58,158 | $45,301 |
Married Families | 49.0% | 24.0% |
Poverty Level | 14% | 11% |
Unemployment Rate | 4.1 | 4.2 |
Population Comparison: Wheeler vs Kings mountain
- The population in Kings mountain is higher at 11,638, compared to 4,807 in Wheeler.
- The median age in Kings mountain is higher at 41.5 years, compared to 40.0 years in Wheeler.
- Wheeler has a higher median income of $58,158 compared to $45,301 in Kings mountain.
- A higher percentage of married families is found in Wheeler at 49.0% compared to 24.0% in Kings mountain.
- Wheeler has a higher poverty level at 14% compared to 11% in Kings mountain.
- Kings mountain has a higher unemployment rate at 4.2% compared to 4.1% in Wheeler.
Demographics
Demographics Wheeler vs Kings mountain provide insight into the diversity of the communities to compare.
Demographic | Wheeler | Kings mountain |
---|---|---|
Black | 3 | 25 |
White | 63 | 68 |
Asian | Data is updating | 2 |
Hispanic | 26 | 2 |
Two or More Races | 8 | 3 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Wheeler vs Kings mountain
- In Kings mountain, the percentage of Black residents is higher at 25% compared to 3% in Wheeler.
- The percentage of White residents is higher in Kings mountain at 68% compared to 63% in Wheeler.
- In Kings mountain, the Asian population stands at 2%, greater than 0% in Wheeler.
- The Hispanic community is larger in Wheeler at 26% compared to 2% in Kings mountain.
- More residents identify as two or more races in Wheeler at 8% compared to 3% in Kings mountain.
- The percentage of American Indian residents is the same in both Wheeler and Kings mountain at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Wheeler | Kings mountain |
---|---|---|
Mental Health Not Good | 18.9% | 18.3% |
Physical Health Not Good | 13.6% | 13.1% |
Depression | 24.8% | 25.7% |
Smoking | 20.3% | 20.9% |
Binge Drinking | 17.8% | 16.3% |
Obesity | 39.0% | 38.0% |
Disability Percentage | 16.0% | 14.0% |
Health Statistics Comparison: Wheeler vs Kings mountain
- More residents in Wheeler report poor mental health at 18.9% compared to 18.3% in Kings mountain.
- Higher depression rates are seen in Kings mountain at 25.7% versus 24.8% in Wheeler.
- Kings mountain has a higher smoking rate at 20.9% compared to 20.3% in Wheeler.
- Binge drinking is more common in Wheeler at 17.8% compared to 16.3% in Kings mountain.
- Obesity rates are higher in Wheeler at 39.0% compared to 38.0% in Kings mountain.
- Disability percentages are higher in Wheeler at 16.0% 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 | Wheeler | Kings mountain |
---|---|---|
No Schooling | 1.2% (59) | 0.4% (43) |
High School Diploma | 23.7% (1,141) | 21.7% (2,528) |
Less than High School | 19.7% (948) | 17.8% (2,071) |
Bachelor's Degree and Higher | 12.4% (596) | 11.6% (1,353) |
Education Levels Comparison: Wheeler vs Kings mountain
- A higher percentage of residents in Wheeler have no formal schooling at 1.2% compared to 0.4% in Kings mountain.
- A higher percentage of residents in Wheeler hold a high school diploma at 23.7% compared to 21.7% in Kings mountain.
- More residents in Wheeler have less than a high school education at 19.7% compared to 17.8% in Kings mountain.
- A higher percentage of residents in Wheeler hold a bachelor's degree or higher at 12.4% compared to 11.6% in Kings mountain.
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.