Demographics details for Orefield, PA vs Malta, MT
Population Overview
Compare main population characteristics in Orefield, PA vs Malta, MT.
| Data | Orefield | Malta |
|---|---|---|
| Population | 945 | 1,868 |
| Median Age | 40.0 years | 49.6 years |
| Median Income | $72,000 | $60,735 |
| Married Families | 65.0% | 49.0% |
| Poverty Level | 4% | 10% |
| Unemployment Rate | 3.0 | 3.1 |
Population Comparison: Orefield vs Malta
- The population in Malta is higher at 1,868, compared to 945 in Orefield.
- The median age in Malta is higher at 49.6 years, compared to 40.0 years in Orefield.
- Orefield has a higher median income of $72,000 compared to $60,735 in Malta.
- A higher percentage of married families is found in Orefield at 65.0% compared to 49.0% in Malta.
- The poverty level is higher in Malta at 10%, compared to 4% in Orefield.
- Malta has a higher unemployment rate at 3.1% compared to 3.0% in Orefield.
Demographics
Demographics Orefield vs Malta provide insight into the diversity of the communities to compare.
| Demographic | Orefield | Malta |
|---|---|---|
| Black | 2 | Data is updating |
| White | 90 | 77 |
| Asian | 2 | Data is updating |
| Hispanic | 3 | 5 |
| Two or More Races | 3 | 14 |
| American Indian | Data is updating | 4 |
Demographics Comparison: Orefield vs Malta
- A higher percentage of Black residents are in Orefield at 2% compared to 0% in Malta.
- Orefield has a higher percentage of White residents at 90% compared to 77% in Malta.
- The Asian population is larger in Orefield at 2% compared to 0% in Malta.
- Malta has a higher percentage of Hispanic residents at 5%, compared to 3% in Orefield.
- The percentage of residents identifying as two or more races is higher in Malta at 14%, compared to 3% in Orefield.
- In Malta, the percentage of American Indian residents is higher at 4%, compared to 0% in Orefield.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Orefield | Malta |
|---|---|---|
| Mental Health Not Good | Data is updating% | 17.3% |
| Physical Health Not Good | Data is updating% | 11.7% |
| Depression | Data is updating% | 23.6% |
| Smoking | Data is updating% | 18.6% |
| Binge Drinking | Data is updating% | 21.3% |
| Obesity | Data is updating% | 37.6% |
| Disability Percentage | Data is updating% | 20.0% |
Health Statistics Comparison: Orefield vs Malta
- In Malta, a higher percentage report poor mental health at 17.3% compared to 0.0% in Orefield.
- Higher depression rates are seen in Malta at 23.6% versus 0.0% in Orefield.
- Malta has a higher smoking rate at 18.6% compared to 0.0% in Orefield.
- More residents engage in binge drinking in Malta at 21.3% compared to 0.0% in Orefield.
- Malta has higher obesity rates at 37.6% compared to 0.0% in Orefield.
- There is a higher percentage of disabled individuals in Malta at 20.0% compared to 0.0% in Orefield.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Orefield | Malta |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.1% (1) |
| High School Diploma | 0.0% (Data is updating) | 23.8% (444) |
| Less than High School | 0.0% (Data is updating) | 12.3% (230) |
| Bachelor's Degree and Higher | 0.0% (Data is updating) | 19.3% (361) |
Education Levels Comparison: Orefield vs Malta
- In Malta, a larger percentage of residents lack formal schooling at 0.1% compared to 0.0% in Orefield.
- In Malta, the rate of residents with high school diplomas is higher at 23.8% compared to 0.0% in Orefield.
- The percentage of residents with less than a high school education is higher in Malta at 12.3%, compared to 0.0% in Orefield.
- In Malta, a larger share of residents have a bachelor's degree or higher at 19.3% compared to 0.0% in Orefield.
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.