Demographics details for Webb city, MO vs Mountain pine, AR
Population Overview
Compare main population characteristics in Webb city, MO vs Mountain pine, AR.
| Data | Webb city | Mountain pine |
|---|---|---|
| Population | 13,165 | 577 |
| Median Age | 34.2 years | 44.2 years |
| Median Income | $58,964 | $28,542 |
| Married Families | 36.0% | 28.0% |
| Poverty Level | 12% | 20% |
| Unemployment Rate | 3.5 | 4.5 |
Population Comparison: Webb city vs Mountain pine
- In Webb city, the population is higher at 13,165, compared to 577 in Mountain pine.
- The median age in Mountain pine is higher at 44.2 years, compared to 34.2 years in Webb city.
- Webb city has a higher median income of $58,964 compared to $28,542 in Mountain pine.
- A higher percentage of married families is found in Webb city at 36.0% compared to 28.0% in Mountain pine.
- The poverty level is higher in Mountain pine at 20%, compared to 12% in Webb city.
- Mountain pine has a higher unemployment rate at 4.5% compared to 3.5% in Webb city.
Demographics
Demographics Webb city vs Mountain pine provide insight into the diversity of the communities to compare.
| Demographic | Webb city | Mountain pine |
|---|---|---|
| Black | 2 | 8 |
| White | 87 | 85 |
| Asian | 2 | Data is updating |
| Hispanic | 2 | 2 |
| Two or More Races | 6 | 5 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Webb city vs Mountain pine
- In Mountain pine, the percentage of Black residents is higher at 8% compared to 2% in Webb city.
- Webb city has a higher percentage of White residents at 87% compared to 85% in Mountain pine.
- The Asian population is larger in Webb city at 2% compared to 0% in Mountain pine.
- The percentage of Hispanic residents is the same in both Webb city and Mountain pine at 2%.
- More residents identify as two or more races in Webb city at 6% compared to 5% in Mountain pine.
- A greater percentage of American Indian residents live in Webb city at 1% compared to 0% in Mountain pine.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Webb city | Mountain pine |
|---|---|---|
| Mental Health Not Good | 19.2% | 20.8% |
| Physical Health Not Good | 13.6% | 14.8% |
| Depression | 26.8% | 26.8% |
| Smoking | 21.8% | 24.8% |
| Binge Drinking | 16.2% | 14.8% |
| Obesity | 40.0% | 39.5% |
| Disability Percentage | 16.0% | 23.0% |
Health Statistics Comparison: Webb city vs Mountain pine
- In Mountain pine, a higher percentage report poor mental health at 20.8% compared to 19.2% in Webb city.
- Both cities have comparable depression rates at 26.8%.
- Mountain pine has a higher smoking rate at 24.8% compared to 21.8% in Webb city.
- Binge drinking is more common in Webb city at 16.2% compared to 14.8% in Mountain pine.
- Obesity rates are higher in Webb city at 40.0% compared to 39.5% in Mountain pine.
- There is a higher percentage of disabled individuals in Mountain pine at 23.0% compared to 16.0% in Webb city.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Webb city | Mountain pine |
|---|---|---|
| No Schooling | 0.4% (53) | 0.0% (Data is updating) |
| High School Diploma | 19.4% (2,556) | 30.8% (178) |
| Less than High School | 11.6% (1,529) | 9.4% (54) |
| Bachelor's Degree and Higher | 17.5% (2,301) | 2.9% (17) |
Education Levels Comparison: Webb city vs Mountain pine
- A higher percentage of residents in Webb city have no formal schooling at 0.4% 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 19.4% in Webb city.
- More residents in Webb city have less than a high school education at 11.6% compared to 9.4% in Mountain pine.
- A higher percentage of residents in Webb city hold a bachelor's degree or higher at 17.5% 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.