Demographics details for Revere, MA vs Experiment, GA
Population Overview
Compare main population characteristics in Revere, MA vs Experiment, GA.
| Data | Revere | Experiment |
|---|---|---|
| Population | 58,528 | 2,578 |
| Median Age | 39.6 years | 37.3 years |
| Median Income | $78,968 | $28,955 |
| Married Families | 38.0% | 17.0% |
| Poverty Level | 11% | 13% |
| Unemployment Rate | 4.3 | 4.2 |
Population Comparison: Revere vs Experiment
- In Revere, the population is higher at 58,528, compared to 2,578 in Experiment.
- Residents in Revere have a higher median age of 39.6 years compared to 37.3 years in Experiment.
- Revere has a higher median income of $78,968 compared to $28,955 in Experiment.
- A higher percentage of married families is found in Revere at 38.0% compared to 17.0% in Experiment.
- The poverty level is higher in Experiment at 13%, compared to 11% in Revere.
- The unemployment rate in Revere is higher at 4.3%, compared to 4.2% in Experiment.
Demographics
Demographics Revere vs Experiment provide insight into the diversity of the communities to compare.
| Demographic | Revere | Experiment |
|---|---|---|
| Black | 4 | 55 |
| White | 30 | 38 |
| Asian | 6 | Data is updating |
| Hispanic | 41 | 6 |
| Two or More Races | 19 | Data is updating |
| American Indian | Data is updating | 1 |
Demographics Comparison: Revere vs Experiment
- In Experiment, the percentage of Black residents is higher at 55% compared to 4% in Revere.
- The percentage of White residents is higher in Experiment at 38% compared to 30% in Revere.
- The Asian population is larger in Revere at 6% compared to 0% in Experiment.
- The Hispanic community is larger in Revere at 41% compared to 6% in Experiment.
- More residents identify as two or more races in Revere at 19% compared to 0% in Experiment.
- In Experiment, the percentage of American Indian residents is higher at 1%, compared to 0% in Revere.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Revere | Experiment |
|---|---|---|
| Mental Health Not Good | 16.7% | 22.7% |
| Physical Health Not Good | 10.7% | 19.6% |
| Depression | 22.5% | 22.2% |
| Smoking | 15.7% | 31.3% |
| Binge Drinking | 19.0% | 11.8% |
| Obesity | 25.3% | 44.5% |
| Disability Percentage | 13.0% | 18.0% |
Health Statistics Comparison: Revere vs Experiment
- In Experiment, a higher percentage report poor mental health at 22.7% compared to 16.7% in Revere.
- Depression is more prevalent in Revere at 22.5% compared to 22.2% in Experiment.
- Experiment has a higher smoking rate at 31.3% compared to 15.7% in Revere.
- Binge drinking is more common in Revere at 19.0% compared to 11.8% in Experiment.
- Experiment has higher obesity rates at 44.5% compared to 25.3% in Revere.
- There is a higher percentage of disabled individuals in Experiment at 18.0% compared to 13.0% in Revere.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Revere | Experiment |
|---|---|---|
| No Schooling | 4.1% (2,390) | 3.2% (83) |
| High School Diploma | 24.6% (14,425) | 29.1% (749) |
| Less than High School | 24.5% (14,363) | 33.7% (869) |
| Bachelor's Degree and Higher | 18.7% (10,935) | 3.8% (98) |
Education Levels Comparison: Revere vs Experiment
- A higher percentage of residents in Revere have no formal schooling at 4.1% compared to 3.2% in Experiment.
- In Experiment, the rate of residents with high school diplomas is higher at 29.1% compared to 24.6% in Revere.
- The percentage of residents with less than a high school education is higher in Experiment at 33.7%, compared to 24.5% in Revere.
- A higher percentage of residents in Revere hold a bachelor's degree or higher at 18.7% compared to 3.8% in Experiment.
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.