Demographics details for Malta, MT vs Saratoga springs, NY
Population Overview
Compare main population characteristics in Malta, MT vs Saratoga springs, NY.
Data | Malta | Saratoga springs |
---|---|---|
Population | 1,868 | 28,593 |
Median Age | 49.6 years | 41.8 years |
Median Income | $60,735 | $97,241 |
Married Families | 49.0% | 40.0% |
Poverty Level | 10% | 6% |
Unemployment Rate | 3.1 | 3.3 |
Population Comparison: Malta vs Saratoga springs
- The population in Saratoga springs is higher at 28,593, compared to 1,868 in Malta.
- Residents in Malta have a higher median age of 49.6 years compared to 41.8 years in Saratoga springs.
- Saratoga springs has a higher median income of $97,241, compared to $60,735 in Malta.
- A higher percentage of married families is found in Malta at 49.0% compared to 40.0% in Saratoga springs.
- Malta has a higher poverty level at 10% compared to 6% in Saratoga springs.
- Saratoga springs has a higher unemployment rate at 3.3% compared to 3.1% in Malta.
Demographics
Demographics Malta vs Saratoga springs provide insight into the diversity of the communities to compare.
Demographic | Malta | Saratoga springs |
---|---|---|
Black | Data is updating | 3 |
White | 77 | 86 |
Asian | Data is updating | 3 |
Hispanic | 5 | 4 |
Two or More Races | 14 | 4 |
American Indian | 4 | Data is updating |
Demographics Comparison: Malta vs Saratoga springs
- In Saratoga springs, the percentage of Black residents is higher at 3% compared to 0% in Malta.
- The percentage of White residents is higher in Saratoga springs at 86% compared to 77% in Malta.
- In Saratoga springs, the Asian population stands at 3%, greater than 0% in Malta.
- The Hispanic community is larger in Malta at 5% compared to 4% in Saratoga springs.
- More residents identify as two or more races in Malta at 14% compared to 4% in Saratoga springs.
- A greater percentage of American Indian residents live in Malta at 4% compared to 0% in Saratoga springs.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Malta | Saratoga springs |
---|---|---|
Mental Health Not Good | 17.3% | 13.4% |
Physical Health Not Good | 11.7% | 8.2% |
Depression | 23.6% | 20.8% |
Smoking | 18.6% | 13.2% |
Binge Drinking | 21.3% | 21.5% |
Obesity | 37.6% | 28.4% |
Disability Percentage | 20.0% | 11.0% |
Health Statistics Comparison: Malta vs Saratoga springs
- More residents in Malta report poor mental health at 17.3% compared to 13.4% in Saratoga springs.
- Depression is more prevalent in Malta at 23.6% compared to 20.8% in Saratoga springs.
- Smoking is more prevalent in Malta at 18.6% compared to 13.2% in Saratoga springs.
- More residents engage in binge drinking in Saratoga springs at 21.5% compared to 21.3% in Malta.
- Obesity rates are higher in Malta at 37.6% compared to 28.4% in Saratoga springs.
- Disability percentages are higher in Malta at 20.0% compared to 11.0% in Saratoga springs.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Malta | Saratoga springs |
---|---|---|
No Schooling | 0.1% (1) | 0.7% (208) |
High School Diploma | 23.8% (444) | 11.0% (3,147) |
Less than High School | 12.3% (230) | 6.3% (1,801) |
Bachelor's Degree and Higher | 19.3% (361) | 42.3% (12,109) |
Education Levels Comparison: Malta vs Saratoga springs
- In Saratoga springs, a larger percentage of residents lack formal schooling at 0.7% compared to 0.1% in Malta.
- A higher percentage of residents in Malta hold a high school diploma at 23.8% compared to 11.0% in Saratoga springs.
- More residents in Malta have less than a high school education at 12.3% compared to 6.3% in Saratoga springs.
- In Saratoga springs, a larger share of residents have a bachelor's degree or higher at 42.3% compared to 19.3% in Malta.
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.