Demographics details for Palmer, MA vs Paris, TX
Population Overview
Compare main population characteristics in Palmer, MA vs Paris, TX.
| Data | Palmer | Paris |
|---|---|---|
| Population | 3,900 | 24,695 |
| Median Age | 42.0 years | 36.0 years |
| Median Income | $65,000 | $44,022 |
| Married Families | 55.0% | 30.0% |
| Poverty Level | 10% | 16% |
| Unemployment Rate | 3.5 | 5.0 |
Population Comparison: Palmer vs Paris
- The population in Paris is higher at 24,695, compared to 3,900 in Palmer.
- Residents in Palmer have a higher median age of 42.0 years compared to 36.0 years in Paris.
- Palmer has a higher median income of $65,000 compared to $44,022 in Paris.
- A higher percentage of married families is found in Palmer at 55.0% compared to 30.0% in Paris.
- The poverty level is higher in Paris at 16%, compared to 10% in Palmer.
- Paris has a higher unemployment rate at 5.0% compared to 3.5% in Palmer.
Demographics
Demographics Palmer vs Paris provide insight into the diversity of the communities to compare.
| Demographic | Palmer | Paris |
|---|---|---|
| Black | 1 | 23 |
| White | 96 | 58 |
| Asian | 1 | 2 |
| Hispanic | 2 | 10 |
| Two or More Races | Data is updating | 7 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Palmer vs Paris
- In Paris, the percentage of Black residents is higher at 23% compared to 1% in Palmer.
- Palmer has a higher percentage of White residents at 96% compared to 58% in Paris.
- In Paris, the Asian population stands at 2%, greater than 1% in Palmer.
- Paris has a higher percentage of Hispanic residents at 10%, compared to 2% in Palmer.
- The percentage of residents identifying as two or more races is higher in Paris at 7%, compared to 0% in Palmer.
- The percentage of American Indian residents is the same in both Palmer and Paris at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Palmer | Paris |
|---|---|---|
| Mental Health Not Good | Data is updating% | 20.6% |
| Physical Health Not Good | Data is updating% | 14.6% |
| Depression | Data is updating% | 25.4% |
| Smoking | Data is updating% | 23.5% |
| Binge Drinking | Data is updating% | 16.5% |
| Obesity | Data is updating% | 40.6% |
| Disability Percentage | Data is updating% | 19.0% |
Health Statistics Comparison: Palmer vs Paris
- In Paris, a higher percentage report poor mental health at 20.6% compared to 0.0% in Palmer.
- Higher depression rates are seen in Paris at 25.4% versus 0.0% in Palmer.
- Paris has a higher smoking rate at 23.5% compared to 0.0% in Palmer.
- More residents engage in binge drinking in Paris at 16.5% compared to 0.0% in Palmer.
- Paris has higher obesity rates at 40.6% compared to 0.0% in Palmer.
- There is a higher percentage of disabled individuals in Paris at 19.0% 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 | Paris |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 1.7% (416) |
| High School Diploma | 0.0% (Data is updating) | 18.3% (4,511) |
| Less than High School | 0.0% (Data is updating) | 15.4% (3,793) |
| Bachelor's Degree and Higher | 0.0% (Data is updating) | 13.4% (3,308) |
Education Levels Comparison: Palmer vs Paris
- In Paris, a larger percentage of residents lack formal schooling at 1.7% compared to 0.0% in Palmer.
- In Paris, the rate of residents with high school diplomas is higher at 18.3% compared to 0.0% in Palmer.
- The percentage of residents with less than a high school education is higher in Paris at 15.4%, compared to 0.0% in Palmer.
- In Paris, a larger share of residents have a bachelor's degree or higher at 13.4% 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.