Demographics details for High falls, NY vs Revere, MA
Population Overview
Compare main population characteristics in High falls, NY vs Revere, MA.
| Data | High falls | Revere |
|---|---|---|
| Population | 482 | 58,528 |
| Median Age | 52.3 years | 39.6 years |
| Median Income | $57,105 | $78,968 |
| Married Families | 58.0% | 38.0% |
| Poverty Level | 5% | 11% |
| Unemployment Rate | 4.5 | 4.3 |
Population Comparison: High falls vs Revere
- The population in Revere is higher at 58,528, compared to 482 in High falls.
- Residents in High falls have a higher median age of 52.3 years compared to 39.6 years in Revere.
- Revere has a higher median income of $78,968, compared to $57,105 in High falls.
- A higher percentage of married families is found in High falls at 58.0% compared to 38.0% in Revere.
- The poverty level is higher in Revere at 11%, compared to 5% in High falls.
- The unemployment rate in High falls is higher at 4.5%, compared to 4.3% in Revere.
Demographics
Demographics High falls vs Revere provide insight into the diversity of the communities to compare.
| Demographic | High falls | Revere |
|---|---|---|
| Black | Data is updating | 4 |
| White | 94 | 30 |
| Asian | Data is updating | 6 |
| Hispanic | 4 | 41 |
| Two or More Races | 2 | 19 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: High falls vs Revere
- In Revere, the percentage of Black residents is higher at 4% compared to 0% in High falls.
- High falls has a higher percentage of White residents at 94% compared to 30% in Revere.
- In Revere, the Asian population stands at 6%, greater than 0% in High falls.
- Revere has a higher percentage of Hispanic residents at 41%, compared to 4% in High falls.
- The percentage of residents identifying as two or more races is higher in Revere at 19%, compared to 2% in High falls.
- The percentage of American Indian residents is the same in both High falls and Revere at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | High falls | Revere |
|---|---|---|
| Mental Health Not Good | 15.3% | 16.7% |
| Physical Health Not Good | 9.7% | 10.7% |
| Depression | 25.6% | 22.5% |
| Smoking | 15.0% | 15.7% |
| Binge Drinking | 19.6% | 19.0% |
| Obesity | 27.9% | 25.3% |
| Disability Percentage | 9.0% | 13.0% |
Health Statistics Comparison: High falls vs Revere
- In Revere, a higher percentage report poor mental health at 16.7% compared to 15.3% in High falls.
- Depression is more prevalent in High falls at 25.6% compared to 22.5% in Revere.
- Revere has a higher smoking rate at 15.7% compared to 15.0% in High falls.
- Binge drinking is more common in High falls at 19.6% compared to 19.0% in Revere.
- Obesity rates are higher in High falls at 27.9% compared to 25.3% in Revere.
- There is a higher percentage of disabled individuals in Revere at 13.0% compared to 9.0% in High falls.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | High falls | Revere |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 4.1% (2,390) |
| High School Diploma | 25.7% (124) | 24.6% (14,425) |
| Less than High School | 6.6% (32) | 24.5% (14,363) |
| Bachelor's Degree and Higher | 32.4% (156) | 18.7% (10,935) |
Education Levels Comparison: High falls vs Revere
- In Revere, a larger percentage of residents lack formal schooling at 4.1% compared to 0.0% in High falls.
- A higher percentage of residents in High falls hold a high school diploma at 25.7% compared to 24.6% in Revere.
- The percentage of residents with less than a high school education is higher in Revere at 24.5%, compared to 6.6% in High falls.
- A higher percentage of residents in High falls hold a bachelor's degree or higher at 32.4% compared to 18.7% in Revere.
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.