Demographics details for Otis, MA vs Franklin, GA
Population Overview
Compare main population characteristics in Otis, MA vs Franklin, GA.
| Data | Otis | Franklin |
|---|---|---|
| Population | 1,548 | 24,128 |
| Median Age | 45.0 years | 40.9 years |
| Median Income | $65,000 | $52,597 |
| Married Families | 60.0% | 39.0% |
| Poverty Level | 8% | 13% |
| Unemployment Rate | 3.7 | 4.8 |
Population Comparison: Otis vs Franklin
- The population in Franklin is higher at 24,128, compared to 1,548 in Otis.
- Residents in Otis have a higher median age of 45.0 years compared to 40.9 years in Franklin.
- Otis has a higher median income of $65,000 compared to $52,597 in Franklin.
- A higher percentage of married families is found in Otis at 60.0% compared to 39.0% in Franklin.
- The poverty level is higher in Franklin at 13%, compared to 8% in Otis.
- Franklin has a higher unemployment rate at 4.8% compared to 3.7% in Otis.
Demographics
Demographics Otis vs Franklin provide insight into the diversity of the communities to compare.
| Demographic | Otis | Franklin |
|---|---|---|
| Black | 1 | 9 |
| White | 97 | 81 |
| Asian | 1 | 1 |
| Hispanic | 1 | 5 |
| Two or More Races | Data is updating | 3 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Otis vs Franklin
- In Franklin, the percentage of Black residents is higher at 9% compared to 1% in Otis.
- Otis has a higher percentage of White residents at 97% compared to 81% in Franklin.
- Both Otis and Franklin have the same percentage of Asian residents at 1%.
- Franklin has a higher percentage of Hispanic residents at 5%, compared to 1% in Otis.
- The percentage of residents identifying as two or more races is higher in Franklin at 3%, compared to 0% in Otis.
- In Franklin, the percentage of American Indian residents is higher at 1%, compared to 0% in Otis.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Otis | Franklin |
|---|---|---|
| Mental Health Not Good | Data is updating% | 18.1% |
| Physical Health Not Good | Data is updating% | 13.2% |
| Depression | Data is updating% | 23.4% |
| Smoking | Data is updating% | 19.9% |
| Binge Drinking | Data is updating% | 16.2% |
| Obesity | Data is updating% | 37.7% |
| Disability Percentage | Data is updating% | 17.0% |
Health Statistics Comparison: Otis vs Franklin
- In Franklin, a higher percentage report poor mental health at 18.1% compared to 0.0% in Otis.
- Higher depression rates are seen in Franklin at 23.4% versus 0.0% in Otis.
- Franklin has a higher smoking rate at 19.9% compared to 0.0% in Otis.
- More residents engage in binge drinking in Franklin at 16.2% compared to 0.0% in Otis.
- Franklin has higher obesity rates at 37.7% compared to 0.0% in Otis.
- There is a higher percentage of disabled individuals in Franklin at 17.0% compared to 0.0% in Otis.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Otis | Franklin |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 1.6% (394) |
| High School Diploma | 0.0% (Data is updating) | 16.4% (3,969) |
| Less than High School | 0.0% (Data is updating) | 23.7% (5,721) |
| Bachelor's Degree and Higher | 0.0% (Data is updating) | 11.1% (2,688) |
Education Levels Comparison: Otis vs Franklin
- In Franklin, a larger percentage of residents lack formal schooling at 1.6% compared to 0.0% in Otis.
- In Franklin, the rate of residents with high school diplomas is higher at 16.4% compared to 0.0% in Otis.
- The percentage of residents with less than a high school education is higher in Franklin at 23.7%, compared to 0.0% in Otis.
- In Franklin, a larger share of residents have a bachelor's degree or higher at 11.1% compared to 0.0% in Otis.
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.