Demographics details for Malta, MT vs Rock springs, WY
Population Overview
Compare main population characteristics in Malta, MT vs Rock springs, WY.
| Data | Malta | Rock springs |
|---|---|---|
| Population | 1,868 | 23,021 |
| Median Age | 49.6 years | 35.2 years |
| Median Income | $60,735 | $75,863 |
| Married Families | 49.0% | 38.0% |
| Poverty Level | 10% | 11% |
| Unemployment Rate | 3.1 | 3.2 |
Population Comparison: Malta vs Rock springs
- The population in Rock springs is higher at 23,021, compared to 1,868 in Malta.
- Residents in Malta have a higher median age of 49.6 years compared to 35.2 years in Rock springs.
- Rock springs has a higher median income of $75,863, compared to $60,735 in Malta.
- A higher percentage of married families is found in Malta at 49.0% compared to 38.0% in Rock springs.
- The poverty level is higher in Rock springs at 11%, compared to 10% in Malta.
- Rock springs has a higher unemployment rate at 3.2% compared to 3.1% in Malta.
Demographics
Demographics Malta vs Rock springs provide insight into the diversity of the communities to compare.
| Demographic | Malta | Rock springs |
|---|---|---|
| Black | Data is updating | 2 |
| White | 77 | 71 |
| Asian | Data is updating | 1 |
| Hispanic | 5 | 16 |
| Two or More Races | 14 | 9 |
| American Indian | 4 | 1 |
Demographics Comparison: Malta vs Rock springs
- In Rock springs, the percentage of Black residents is higher at 2% compared to 0% in Malta.
- Malta has a higher percentage of White residents at 77% compared to 71% in Rock springs.
- In Rock springs, the Asian population stands at 1%, greater than 0% in Malta.
- Rock springs has a higher percentage of Hispanic residents at 16%, compared to 5% in Malta.
- More residents identify as two or more races in Malta at 14% compared to 9% in Rock springs.
- A greater percentage of American Indian residents live in Malta at 4% compared to 1% in Rock springs.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Malta | Rock springs |
|---|---|---|
| Mental Health Not Good | 17.3% | 16.1% |
| Physical Health Not Good | 11.7% | 10.7% |
| Depression | 23.6% | 20.1% |
| Smoking | 18.6% | 17.9% |
| Binge Drinking | 21.3% | 17.6% |
| Obesity | 37.6% | 34.0% |
| Disability Percentage | 20.0% | 15.0% |
Health Statistics Comparison: Malta vs Rock springs
- More residents in Malta report poor mental health at 17.3% compared to 16.1% in Rock springs.
- Depression is more prevalent in Malta at 23.6% compared to 20.1% in Rock springs.
- Smoking is more prevalent in Malta at 18.6% compared to 17.9% in Rock springs.
- Binge drinking is more common in Malta at 21.3% compared to 17.6% in Rock springs.
- Obesity rates are higher in Malta at 37.6% compared to 34.0% in Rock springs.
- Disability percentages are higher in Malta at 20.0% compared to 15.0% in Rock springs.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Malta | Rock springs |
|---|---|---|
| No Schooling | 0.1% (1) | 1.0% (234) |
| High School Diploma | 23.8% (444) | 15.5% (3,575) |
| Less than High School | 12.3% (230) | 9.6% (2,204) |
| Bachelor's Degree and Higher | 19.3% (361) | 13.9% (3,211) |
Education Levels Comparison: Malta vs Rock springs
- In Rock springs, a larger percentage of residents lack formal schooling at 1.0% compared to 0.1% in Malta.
- A higher percentage of residents in Malta hold a high school diploma at 23.8% compared to 15.5% in Rock springs.
- More residents in Malta have less than a high school education at 12.3% compared to 9.6% in Rock springs.
- A higher percentage of residents in Malta hold a bachelor's degree or higher at 19.3% compared to 13.9% in Rock springs.
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.