Demographics details for Palmer, MA vs Bloomington, CA
Population Overview
Compare main population characteristics in Palmer, MA vs Bloomington, CA.
Data | Palmer | Bloomington |
---|---|---|
Population | 3,900 | 23,051 |
Median Age | 42.0 years | 32.5 years |
Median Income | $65,000 | $74,414 |
Married Families | 55.0% | 37.0% |
Poverty Level | 10% | 15% |
Unemployment Rate | 3.5 | 7.5 |
Population Comparison: Palmer vs Bloomington
- The population in Bloomington is higher at 23,051, compared to 3,900 in Palmer.
- Residents in Palmer have a higher median age of 42.0 years compared to 32.5 years in Bloomington.
- Bloomington has a higher median income of $74,414, compared to $65,000 in Palmer.
- A higher percentage of married families is found in Palmer at 55.0% compared to 37.0% in Bloomington.
- The poverty level is higher in Bloomington at 15%, compared to 10% in Palmer.
- Bloomington has a higher unemployment rate at 7.5% compared to 3.5% in Palmer.
Demographics
Demographics Palmer vs Bloomington provide insight into the diversity of the communities to compare.
Demographic | Palmer | Bloomington |
---|---|---|
Black | 1 | 1 |
White | 96 | -9 |
Asian | 1 | 1 |
Hispanic | 2 | 88 |
Two or More Races | Data is updating | 18 |
American Indian | Data is updating | 1 |
Demographics Comparison: Palmer vs Bloomington
- The percentage of Black residents is the same in both Palmer and Bloomington at 1%.
- Palmer has a higher percentage of White residents at 96% compared to -9% in Bloomington.
- Both Palmer and Bloomington have the same percentage of Asian residents at 1%.
- Bloomington has a higher percentage of Hispanic residents at 88%, compared to 2% in Palmer.
- The percentage of residents identifying as two or more races is higher in Bloomington at 18%, compared to 0% in Palmer.
- In Bloomington, the percentage of American Indian residents is higher at 1%, compared to 0% in Palmer.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Palmer | Bloomington |
---|---|---|
Mental Health Not Good | Data is updating% | 17.4% |
Physical Health Not Good | Data is updating% | 14.7% |
Depression | Data is updating% | 18.2% |
Smoking | Data is updating% | 14.4% |
Binge Drinking | Data is updating% | 14.9% |
Obesity | Data is updating% | 41.1% |
Disability Percentage | Data is updating% | 10.0% |
Health Statistics Comparison: Palmer vs Bloomington
- In Bloomington, a higher percentage report poor mental health at 17.4% compared to 0.0% in Palmer.
- Higher depression rates are seen in Bloomington at 18.2% versus 0.0% in Palmer.
- Bloomington has a higher smoking rate at 14.4% compared to 0.0% in Palmer.
- More residents engage in binge drinking in Bloomington at 14.9% compared to 0.0% in Palmer.
- Bloomington has higher obesity rates at 41.1% compared to 0.0% in Palmer.
- There is a higher percentage of disabled individuals in Bloomington at 10.0% compared to 0.0% in Palmer.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Palmer | Bloomington |
---|---|---|
No Schooling | 0.0% (Data is updating) | 3.9% (906) |
High School Diploma | 0.0% (Data is updating) | 15.7% (3,618) |
Less than High School | 0.0% (Data is updating) | 48.5% (11,184) |
Bachelor's Degree and Higher | 0.0% (Data is updating) | 5.9% (1,351) |
Education Levels Comparison: Palmer vs Bloomington
- In Bloomington, a larger percentage of residents lack formal schooling at 3.9% compared to 0.0% in Palmer.
- In Bloomington, the rate of residents with high school diplomas is higher at 15.7% compared to 0.0% in Palmer.
- The percentage of residents with less than a high school education is higher in Bloomington at 48.5%, compared to 0.0% in Palmer.
- In Bloomington, a larger share of residents have a bachelor's degree or higher at 5.9% compared to 0.0% in Palmer.
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.