Demographics details for Florence, OR vs Newton, GA
Population Overview
Compare main population characteristics in Florence, OR vs Newton, GA.
| Data | Florence | Newton |
|---|---|---|
| Population | 9,376 | 579 |
| Median Age | 57.7 years | 41.0 years |
| Median Income | $57,568 | $31,406 |
| Married Families | 42.0% | 22.0% |
| Poverty Level | 10% | 18% |
| Unemployment Rate | 4.5 | 3.2 |
Population Comparison: Florence vs Newton
- In Florence, the population is higher at 9,376, compared to 579 in Newton.
- Residents in Florence have a higher median age of 57.7 years compared to 41.0 years in Newton.
- Florence has a higher median income of $57,568 compared to $31,406 in Newton.
- A higher percentage of married families is found in Florence at 42.0% compared to 22.0% in Newton.
- The poverty level is higher in Newton at 18%, compared to 10% in Florence.
- The unemployment rate in Florence is higher at 4.5%, compared to 3.2% in Newton.
Demographics
Demographics Florence vs Newton provide insight into the diversity of the communities to compare.
| Demographic | Florence | Newton |
|---|---|---|
| Black | 2 | 34 |
| White | 87 | 63 |
| Asian | 2 | 1 |
| Hispanic | 5 | 1 |
| Two or More Races | 3 | 1 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Florence vs Newton
- In Newton, the percentage of Black residents is higher at 34% compared to 2% in Florence.
- Florence has a higher percentage of White residents at 87% compared to 63% in Newton.
- The Asian population is larger in Florence at 2% compared to 1% in Newton.
- The Hispanic community is larger in Florence at 5% compared to 1% in Newton.
- More residents identify as two or more races in Florence at 3% compared to 1% in Newton.
- A greater percentage of American Indian residents live in Florence at 1% compared to 0% in Newton.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Florence | Newton |
|---|---|---|
| Mental Health Not Good | 19.8% | 19.2% |
| Physical Health Not Good | 13.1% | 15.2% |
| Depression | 29.2% | 21.6% |
| Smoking | 16.7% | 23.1% |
| Binge Drinking | 17.0% | 13.4% |
| Obesity | 36.0% | 42.7% |
| Disability Percentage | 25.0% | 18.0% |
Health Statistics Comparison: Florence vs Newton
- More residents in Florence report poor mental health at 19.8% compared to 19.2% in Newton.
- Depression is more prevalent in Florence at 29.2% compared to 21.6% in Newton.
- Newton has a higher smoking rate at 23.1% compared to 16.7% in Florence.
- Binge drinking is more common in Florence at 17.0% compared to 13.4% in Newton.
- Newton has higher obesity rates at 42.7% compared to 36.0% in Florence.
- Disability percentages are higher in Florence at 25.0% compared to 18.0% in Newton.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Florence | Newton |
|---|---|---|
| No Schooling | 0.4% (35) | 1.2% (7) |
| High School Diploma | 14.2% (1,331) | 16.6% (96) |
| Less than High School | 15.6% (1,467) | 19.3% (112) |
| Bachelor's Degree and Higher | 19.9% (1,865) | 9.5% (55) |
Education Levels Comparison: Florence vs Newton
- In Newton, a larger percentage of residents lack formal schooling at 1.2% compared to 0.4% in Florence.
- In Newton, the rate of residents with high school diplomas is higher at 16.6% compared to 14.2% in Florence.
- The percentage of residents with less than a high school education is higher in Newton at 19.3%, compared to 15.6% in Florence.
- A higher percentage of residents in Florence hold a bachelor's degree or higher at 19.9% compared to 9.5% in Newton.
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.