Demographics details for Wheeling, WV vs Sunland park, NM
Population Overview
Compare main population characteristics in Wheeling, WV vs Sunland park, NM.
Data | Wheeling | Sunland park |
---|---|---|
Population | 26,391 | 17,414 |
Median Age | 45.0 years | 33.3 years |
Median Income | $46,516 | $45,545 |
Married Families | 34.0% | 31.0% |
Poverty Level | 18% | 20% |
Unemployment Rate | 4.1 | 6.4 |
Population Comparison: Wheeling vs Sunland park
- In Wheeling, the population is higher at 26,391, compared to 17,414 in Sunland park.
- Residents in Wheeling have a higher median age of 45.0 years compared to 33.3 years in Sunland park.
- Wheeling has a higher median income of $46,516 compared to $45,545 in Sunland park.
- A higher percentage of married families is found in Wheeling at 34.0% compared to 31.0% in Sunland park.
- The poverty level is higher in Sunland park at 20%, compared to 18% in Wheeling.
- Sunland park has a higher unemployment rate at 6.4% compared to 4.1% in Wheeling.
Demographics
Demographics Wheeling vs Sunland park provide insight into the diversity of the communities to compare.
Demographic | Wheeling | Sunland park |
---|---|---|
Black | 4 | 1 |
White | 90 | Data is updating |
Asian | 1 | Data is updating |
Hispanic | 1 | 91 |
Two or More Races | 4 | 28 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Wheeling vs Sunland park
- A higher percentage of Black residents are in Wheeling at 4% compared to 1% in Sunland park.
- Wheeling has a higher percentage of White residents at 90% compared to 0% in Sunland park.
- The Asian population is larger in Wheeling at 1% compared to 0% in Sunland park.
- Sunland park has a higher percentage of Hispanic residents at 91%, compared to 1% in Wheeling.
- The percentage of residents identifying as two or more races is higher in Sunland park at 28%, compared to 4% in Wheeling.
- The percentage of American Indian residents is the same in both Wheeling and Sunland park at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Wheeling | Sunland park |
---|---|---|
Mental Health Not Good | 19.5% | 18.4% |
Physical Health Not Good | 13.3% | 17.2% |
Depression | 28.7% | 21.2% |
Smoking | 21.0% | 20.8% |
Binge Drinking | 14.4% | 12.4% |
Obesity | 40.4% | 42.8% |
Disability Percentage | 17.0% | 10.0% |
Health Statistics Comparison: Wheeling vs Sunland park
- More residents in Wheeling report poor mental health at 19.5% compared to 18.4% in Sunland park.
- Depression is more prevalent in Wheeling at 28.7% compared to 21.2% in Sunland park.
- Smoking is more prevalent in Wheeling at 21.0% compared to 20.8% in Sunland park.
- Binge drinking is more common in Wheeling at 14.4% compared to 12.4% in Sunland park.
- Sunland park has higher obesity rates at 42.8% compared to 40.4% in Wheeling.
- Disability percentages are higher in Wheeling at 17.0% compared to 10.0% in Sunland park.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Wheeling | Sunland park |
---|---|---|
No Schooling | 0.5% (130) | 1.5% (261) |
High School Diploma | 22.3% (5,888) | 11.6% (2,019) |
Less than High School | 10.1% (2,653) | 29.5% (5,138) |
Bachelor's Degree and Higher | 23.5% (6,209) | 12.2% (2,130) |
Education Levels Comparison: Wheeling vs Sunland park
- In Sunland park, a larger percentage of residents lack formal schooling at 1.5% compared to 0.5% in Wheeling.
- A higher percentage of residents in Wheeling hold a high school diploma at 22.3% compared to 11.6% in Sunland park.
- The percentage of residents with less than a high school education is higher in Sunland park at 29.5%, compared to 10.1% in Wheeling.
- A higher percentage of residents in Wheeling hold a bachelor's degree or higher at 23.5% compared to 12.2% in Sunland park.
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.