Demographics details for Bloomfield, KY vs Newton, GA
Population Overview
Compare main population characteristics in Bloomfield, KY vs Newton, GA.
| Data | Bloomfield | Newton |
|---|---|---|
| Population | 970 | 579 |
| Median Age | 52.4 years | 41.0 years |
| Median Income | $44,922 | $31,406 |
| Married Families | 49.0% | 22.0% |
| Poverty Level | 10% | 18% |
| Unemployment Rate | 4.5 | 3.2 |
Population Comparison: Bloomfield vs Newton
- In Bloomfield, the population is higher at 970, compared to 579 in Newton.
- Residents in Bloomfield have a higher median age of 52.4 years compared to 41.0 years in Newton.
- Bloomfield has a higher median income of $44,922 compared to $31,406 in Newton.
- A higher percentage of married families is found in Bloomfield at 49.0% compared to 22.0% in Newton.
- The poverty level is higher in Newton at 18%, compared to 10% in Bloomfield.
- The unemployment rate in Bloomfield is higher at 4.5%, compared to 3.2% in Newton.
Demographics
Demographics Bloomfield vs Newton provide insight into the diversity of the communities to compare.
| Demographic | Bloomfield | Newton |
|---|---|---|
| Black | 2 | 34 |
| White | 94 | 63 |
| Asian | Data is updating | 1 |
| Hispanic | 1 | 1 |
| Two or More Races | 3 | 1 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Bloomfield vs Newton
- In Newton, the percentage of Black residents is higher at 34% compared to 2% in Bloomfield.
- Bloomfield has a higher percentage of White residents at 94% compared to 63% in Newton.
- In Newton, the Asian population stands at 1%, greater than 0% in Bloomfield.
- The percentage of Hispanic residents is the same in both Bloomfield and Newton at 1%.
- More residents identify as two or more races in Bloomfield at 3% compared to 1% in Newton.
- The percentage of American Indian residents is the same in both Bloomfield and Newton at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Bloomfield | Newton |
|---|---|---|
| Mental Health Not Good | 19.3% | 19.2% |
| Physical Health Not Good | 14.0% | 15.2% |
| Depression | 27.4% | 21.6% |
| Smoking | 22.2% | 23.1% |
| Binge Drinking | 15.6% | 13.4% |
| Obesity | 38.5% | 42.7% |
| Disability Percentage | 29.0% | 18.0% |
Health Statistics Comparison: Bloomfield vs Newton
- More residents in Bloomfield report poor mental health at 19.3% compared to 19.2% in Newton.
- Depression is more prevalent in Bloomfield at 27.4% compared to 21.6% in Newton.
- Newton has a higher smoking rate at 23.1% compared to 22.2% in Bloomfield.
- Binge drinking is more common in Bloomfield at 15.6% compared to 13.4% in Newton.
- Newton has higher obesity rates at 42.7% compared to 38.5% in Bloomfield.
- Disability percentages are higher in Bloomfield at 29.0% 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 | Bloomfield | Newton |
|---|---|---|
| No Schooling | 0.5% (5) | 1.2% (7) |
| High School Diploma | 19.7% (191) | 16.6% (96) |
| Less than High School | 14.2% (138) | 19.3% (112) |
| Bachelor's Degree and Higher | 19.3% (187) | 9.5% (55) |
Education Levels Comparison: Bloomfield vs Newton
- In Newton, a larger percentage of residents lack formal schooling at 1.2% compared to 0.5% in Bloomfield.
- A higher percentage of residents in Bloomfield hold a high school diploma at 19.7% compared to 16.6% in Newton.
- The percentage of residents with less than a high school education is higher in Newton at 19.3%, compared to 14.2% in Bloomfield.
- A higher percentage of residents in Bloomfield hold a bachelor's degree or higher at 19.3% 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.