Demographics details for Ashton, WV vs Newton, GA
Population Overview
Compare main population characteristics in Ashton, WV vs Newton, GA.
Data | Ashton | Newton |
---|---|---|
Population | 200 | 579 |
Median Age | 38.0 years | 41.0 years |
Median Income | $50,000 | $31,406 |
Married Families | 50.0% | 22.0% |
Poverty Level | 10% | 18% |
Unemployment Rate | 5.0 | 3.2 |
Population Comparison: Ashton vs Newton
- The population in Newton is higher at 579, compared to 200 in Ashton.
- The median age in Newton is higher at 41.0 years, compared to 38.0 years in Ashton.
- Ashton has a higher median income of $50,000 compared to $31,406 in Newton.
- A higher percentage of married families is found in Ashton at 50.0% compared to 22.0% in Newton.
- The poverty level is higher in Newton at 18%, compared to 10% in Ashton.
- The unemployment rate in Ashton is higher at 5.0%, compared to 3.2% in Newton.
Demographics
Demographics Ashton vs Newton provide insight into the diversity of the communities to compare.
Demographic | Ashton | Newton |
---|---|---|
Black | Data is updating | 34 |
White | 95 | 63 |
Asian | 2 | 1 |
Hispanic | 1 | 1 |
Two or More Races | 2 | 1 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Ashton vs Newton
- In Newton, the percentage of Black residents is higher at 34% compared to 0% in Ashton.
- Ashton has a higher percentage of White residents at 95% compared to 63% in Newton.
- The Asian population is larger in Ashton at 2% compared to 1% in Newton.
- The percentage of Hispanic residents is the same in both Ashton and Newton at 1%.
- More residents identify as two or more races in Ashton at 2% compared to 1% in Newton.
- The percentage of American Indian residents is the same in both Ashton and Newton at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Ashton | Newton |
---|---|---|
Mental Health Not Good | Data is updating% | 19.2% |
Physical Health Not Good | Data is updating% | 15.2% |
Depression | Data is updating% | 21.6% |
Smoking | Data is updating% | 23.1% |
Binge Drinking | Data is updating% | 13.4% |
Obesity | Data is updating% | 42.7% |
Disability Percentage | Data is updating% | 18.0% |
Health Statistics Comparison: Ashton vs Newton
- In Newton, a higher percentage report poor mental health at 19.2% compared to 0.0% in Ashton.
- Higher depression rates are seen in Newton at 21.6% versus 0.0% in Ashton.
- Newton has a higher smoking rate at 23.1% compared to 0.0% in Ashton.
- More residents engage in binge drinking in Newton at 13.4% compared to 0.0% in Ashton.
- Newton has higher obesity rates at 42.7% compared to 0.0% in Ashton.
- There is a higher percentage of disabled individuals in Newton at 18.0% compared to 0.0% in Ashton.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Ashton | Newton |
---|---|---|
No Schooling | 0.0% (Data is updating) | 1.2% (7) |
High School Diploma | 0.0% (Data is updating) | 16.6% (96) |
Less than High School | 0.0% (Data is updating) | 19.3% (112) |
Bachelor's Degree and Higher | 0.0% (Data is updating) | 9.5% (55) |
Education Levels Comparison: Ashton vs Newton
- In Newton, a larger percentage of residents lack formal schooling at 1.2% compared to 0.0% in Ashton.
- In Newton, the rate of residents with high school diplomas is higher at 16.6% compared to 0.0% in Ashton.
- The percentage of residents with less than a high school education is higher in Newton at 19.3%, compared to 0.0% in Ashton.
- In Newton, a larger share of residents have a bachelor's degree or higher at 9.5% compared to 0.0% in Ashton.
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.