Demographics details for Moody, AL vs Mountain pine, AR
Population Overview
Compare main population characteristics in Moody, AL vs Mountain pine, AR.
| Data | Moody | Mountain pine |
|---|---|---|
| Population | 13,587 | 577 |
| Median Age | 41.5 years | 44.2 years |
| Median Income | $77,680 | $28,542 |
| Married Families | 41.0% | 28.0% |
| Poverty Level | 9% | 20% |
| Unemployment Rate | 3.5 | 4.5 |
Population Comparison: Moody vs Mountain pine
- In Moody, the population is higher at 13,587, compared to 577 in Mountain pine.
- The median age in Mountain pine is higher at 44.2 years, compared to 41.5 years in Moody.
- Moody has a higher median income of $77,680 compared to $28,542 in Mountain pine.
- A higher percentage of married families is found in Moody at 41.0% compared to 28.0% in Mountain pine.
- The poverty level is higher in Mountain pine at 20%, compared to 9% in Moody.
- Mountain pine has a higher unemployment rate at 4.5% compared to 3.5% in Moody.
Demographics
Demographics Moody vs Mountain pine provide insight into the diversity of the communities to compare.
| Demographic | Moody | Mountain pine |
|---|---|---|
| Black | 8 | 8 |
| White | 83 | 85 |
| Asian | Data is updating | Data is updating |
| Hispanic | 3 | 2 |
| Two or More Races | 5 | 5 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Moody vs Mountain pine
- The percentage of Black residents is the same in both Moody and Mountain pine at 8%.
- The percentage of White residents is higher in Mountain pine at 85% compared to 83% in Moody.
- Both Moody and Mountain pine have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Moody at 3% compared to 2% in Mountain pine.
- Both Moody and Mountain pine have the same percentage of residents identifying as two or more races at 5%.
- A greater percentage of American Indian residents live in Moody at 1% compared to 0% in Mountain pine.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Moody | Mountain pine |
|---|---|---|
| Mental Health Not Good | 17.7% | 20.8% |
| Physical Health Not Good | 11.1% | 14.8% |
| Depression | 23.6% | 26.8% |
| Smoking | 16.5% | 24.8% |
| Binge Drinking | 16.1% | 14.8% |
| Obesity | 37.6% | 39.5% |
| Disability Percentage | 14.0% | 23.0% |
Health Statistics Comparison: Moody vs Mountain pine
- In Mountain pine, a higher percentage report poor mental health at 20.8% compared to 17.7% in Moody.
- Higher depression rates are seen in Mountain pine at 26.8% versus 23.6% in Moody.
- Mountain pine has a higher smoking rate at 24.8% compared to 16.5% in Moody.
- Binge drinking is more common in Moody at 16.1% compared to 14.8% in Mountain pine.
- Mountain pine has higher obesity rates at 39.5% compared to 37.6% in Moody.
- There is a higher percentage of disabled individuals in Mountain pine at 23.0% compared to 14.0% in Moody.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Moody | Mountain pine |
|---|---|---|
| No Schooling | 0.9% (119) | 0.0% (Data is updating) |
| High School Diploma | 21.0% (2,850) | 30.8% (178) |
| Less than High School | 8.3% (1,131) | 9.4% (54) |
| Bachelor's Degree and Higher | 16.8% (2,283) | 2.9% (17) |
Education Levels Comparison: Moody vs Mountain pine
- A higher percentage of residents in Moody 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 21.0% in Moody.
- The percentage of residents with less than a high school education is higher in Mountain pine at 9.4%, compared to 8.3% in Moody.
- A higher percentage of residents in Moody hold a bachelor's degree or higher at 16.8% 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.