Demographics details for Malta, MT vs West liberty, OH
Population Overview
Compare main population characteristics in Malta, MT vs West liberty, OH.
| Data | Malta | West liberty |
|---|---|---|
| Population | 1,868 | 1,759 |
| Median Age | 49.6 years | 41.8 years |
| Median Income | $60,735 | $58,417 |
| Married Families | 49.0% | 43.0% |
| Poverty Level | 10% | 10% |
| Unemployment Rate | 3.1 | 4.3 |
Population Comparison: Malta vs West liberty
- In Malta, the population is higher at 1,868, compared to 1,759 in West liberty.
- Residents in Malta have a higher median age of 49.6 years compared to 41.8 years in West liberty.
- Malta has a higher median income of $60,735 compared to $58,417 in West liberty.
- A higher percentage of married families is found in Malta at 49.0% compared to 43.0% in West liberty.
- The poverty level is identical in both Malta and West liberty at 10%.
- West liberty has a higher unemployment rate at 4.3% compared to 3.1% in Malta.
Demographics
Demographics Malta vs West liberty provide insight into the diversity of the communities to compare.
| Demographic | Malta | West liberty |
|---|---|---|
| Black | Data is updating | Data is updating |
| White | 77 | 93 |
| Asian | Data is updating | Data is updating |
| Hispanic | 5 | 5 |
| Two or More Races | 14 | 2 |
| American Indian | 4 | Data is updating |
Demographics Comparison: Malta vs West liberty
- The percentage of Black residents is the same in both Malta and West liberty at 0%.
- The percentage of White residents is higher in West liberty at 93% compared to 77% in Malta.
- Both Malta and West liberty have the same percentage of Asian residents at 0%.
- The percentage of Hispanic residents is the same in both Malta and West liberty at 5%.
- More residents identify as two or more races in Malta at 14% compared to 2% in West liberty.
- A greater percentage of American Indian residents live in Malta at 4% compared to 0% in West liberty.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Malta | West liberty |
|---|---|---|
| Mental Health Not Good | 17.3% | 16.9% |
| Physical Health Not Good | 11.7% | 10.6% |
| Depression | 23.6% | 24.6% |
| Smoking | 18.6% | 18.6% |
| Binge Drinking | 21.3% | 19.2% |
| Obesity | 37.6% | 37.9% |
| Disability Percentage | 20.0% | 16.0% |
Health Statistics Comparison: Malta vs West liberty
- More residents in Malta report poor mental health at 17.3% compared to 16.9% in West liberty.
- Higher depression rates are seen in West liberty at 24.6% versus 23.6% in Malta.
- Smoking rates are the same in both Malta and West liberty at 18.6%.
- Binge drinking is more common in Malta at 21.3% compared to 19.2% in West liberty.
- West liberty has higher obesity rates at 37.9% compared to 37.6% in Malta.
- Disability percentages are higher in Malta at 20.0% compared to 16.0% in West liberty.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Malta | West liberty |
|---|---|---|
| No Schooling | 0.1% (1) | 0.7% (13) |
| High School Diploma | 23.8% (444) | 25.7% (452) |
| Less than High School | 12.3% (230) | 3.8% (67) |
| Bachelor's Degree and Higher | 19.3% (361) | 12.5% (219) |
Education Levels Comparison: Malta vs West liberty
- In West liberty, a larger percentage of residents lack formal schooling at 0.7% compared to 0.1% in Malta.
- In West liberty, the rate of residents with high school diplomas is higher at 25.7% compared to 23.8% in Malta.
- More residents in Malta have less than a high school education at 12.3% compared to 3.8% in West liberty.
- A higher percentage of residents in Malta hold a bachelor's degree or higher at 19.3% compared to 12.5% in West liberty.
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.