Demographics details for Wabash, IN vs Mountain pine, AR
Population Overview
Compare main population characteristics in Wabash, IN vs Mountain pine, AR.
| Data | Wabash | Mountain pine |
|---|---|---|
| Population | 10,347 | 577 |
| Median Age | 41.0 years | 44.2 years |
| Median Income | $51,127 | $28,542 |
| Married Families | 39.0% | 28.0% |
| Poverty Level | 11% | 20% |
| Unemployment Rate | 3.5 | 4.5 |
Population Comparison: Wabash vs Mountain pine
- In Wabash, the population is higher at 10,347, compared to 577 in Mountain pine.
- The median age in Mountain pine is higher at 44.2 years, compared to 41.0 years in Wabash.
- Wabash has a higher median income of $51,127 compared to $28,542 in Mountain pine.
- A higher percentage of married families is found in Wabash at 39.0% compared to 28.0% in Mountain pine.
- The poverty level is higher in Mountain pine at 20%, compared to 11% in Wabash.
- Mountain pine has a higher unemployment rate at 4.5% compared to 3.5% in Wabash.
Demographics
Demographics Wabash vs Mountain pine provide insight into the diversity of the communities to compare.
| Demographic | Wabash | Mountain pine |
|---|---|---|
| Black | Data is updating | 8 |
| White | 94 | 85 |
| Asian | Data is updating | Data is updating |
| Hispanic | 4 | 2 |
| Two or More Races | 2 | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Wabash vs Mountain pine
- In Mountain pine, the percentage of Black residents is higher at 8% compared to 0% in Wabash.
- Wabash has a higher percentage of White residents at 94% compared to 85% in Mountain pine.
- Both Wabash and Mountain pine have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Wabash at 4% compared to 2% in Mountain pine.
- The percentage of residents identifying as two or more races is higher in Mountain pine at 5%, compared to 2% in Wabash.
- The percentage of American Indian residents is the same in both Wabash and Mountain pine at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Wabash | Mountain pine |
|---|---|---|
| Mental Health Not Good | 18.4% | 20.8% |
| Physical Health Not Good | 12.7% | 14.8% |
| Depression | 27.2% | 26.8% |
| Smoking | 22.5% | 24.8% |
| Binge Drinking | 16.7% | 14.8% |
| Obesity | 40.4% | 39.5% |
| Disability Percentage | 19.0% | 23.0% |
Health Statistics Comparison: Wabash vs Mountain pine
- In Mountain pine, a higher percentage report poor mental health at 20.8% compared to 18.4% in Wabash.
- Depression is more prevalent in Wabash at 27.2% compared to 26.8% in Mountain pine.
- Mountain pine has a higher smoking rate at 24.8% compared to 22.5% in Wabash.
- Binge drinking is more common in Wabash at 16.7% compared to 14.8% in Mountain pine.
- Obesity rates are higher in Wabash at 40.4% compared to 39.5% in Mountain pine.
- There is a higher percentage of disabled individuals in Mountain pine at 23.0% compared to 19.0% in Wabash.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Wabash | Mountain pine |
|---|---|---|
| No Schooling | 0.9% (95) | 0.0% (Data is updating) |
| High School Diploma | 25.5% (2,642) | 30.8% (178) |
| Less than High School | 14.2% (1,468) | 9.4% (54) |
| Bachelor's Degree and Higher | 15.6% (1,618) | 2.9% (17) |
Education Levels Comparison: Wabash vs Mountain pine
- A higher percentage of residents in Wabash have no formal schooling at 0.9% compared to 0.0% in Mountain pine.
- In Mountain pine, the rate of residents with high school diplomas is higher at 30.8% compared to 25.5% in Wabash.
- More residents in Wabash have less than a high school education at 14.2% compared to 9.4% in Mountain pine.
- A higher percentage of residents in Wabash hold a bachelor's degree or higher at 15.6% compared to 2.9% in Mountain pine.
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.