Demographics details for North augusta, SC vs Newton, MA
Population Overview
Compare main population characteristics in North augusta, SC vs Newton, MA.
Data | North augusta | Newton |
---|---|---|
Population | 25,258 | 87,381 |
Median Age | 43.4 years | 41.7 years |
Median Income | $85,093 | $176,373 |
Married Families | 45.0% | 47.0% |
Poverty Level | 8% | 5% |
Unemployment Rate | 4.1 | 3.5 |
Population Comparison: North augusta vs Newton
- The population in Newton is higher at 87,381, compared to 25,258 in North augusta.
- Residents in North augusta have a higher median age of 43.4 years compared to 41.7 years in Newton.
- Newton has a higher median income of $176,373, compared to $85,093 in North augusta.
- In Newton, the percentage of married families is higher at 47.0%, compared to 45.0% in North augusta.
- North augusta has a higher poverty level at 8% compared to 5% in Newton.
- The unemployment rate in North augusta is higher at 4.1%, compared to 3.5% in Newton.
Demographics
Demographics North augusta vs Newton provide insight into the diversity of the communities to compare.
Demographic | North augusta | Newton |
---|---|---|
Black | 14 | 3 |
White | 76 | 73 |
Asian | Data is updating | 14 |
Hispanic | 6 | 4 |
Two or More Races | 4 | 6 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: North augusta vs Newton
- A higher percentage of Black residents are in North augusta at 14% compared to 3% in Newton.
- North augusta has a higher percentage of White residents at 76% compared to 73% in Newton.
- In Newton, the Asian population stands at 14%, greater than 0% in North augusta.
- The Hispanic community is larger in North augusta at 6% compared to 4% in Newton.
- The percentage of residents identifying as two or more races is higher in Newton at 6%, compared to 4% in North augusta.
- The percentage of American Indian residents is the same in both North augusta and Newton at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | North augusta | Newton |
---|---|---|
Mental Health Not Good | 17.1% | 12.4% |
Physical Health Not Good | 11.4% | 6.9% |
Depression | 21.5% | 19.7% |
Smoking | 16.1% | 7.3% |
Binge Drinking | 16.8% | 19.1% |
Obesity | 35.8% | 21.7% |
Disability Percentage | 14.0% | 8.0% |
Health Statistics Comparison: North augusta vs Newton
- More residents in North augusta report poor mental health at 17.1% compared to 12.4% in Newton.
- Depression is more prevalent in North augusta at 21.5% compared to 19.7% in Newton.
- Smoking is more prevalent in North augusta at 16.1% compared to 7.3% in Newton.
- More residents engage in binge drinking in Newton at 19.1% compared to 16.8% in North augusta.
- Obesity rates are higher in North augusta at 35.8% compared to 21.7% in Newton.
- Disability percentages are higher in North augusta at 14.0% compared to 8.0% in Newton.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | North augusta | Newton |
---|---|---|
No Schooling | 0.5% (132) | 0.5% (413) |
High School Diploma | 13.9% (3,507) | 4.5% (3,941) |
Less than High School | 9.5% (2,395) | 2.9% (2,554) |
Bachelor's Degree and Higher | 27.8% (7,010) | 54.7% (47,769) |
Education Levels Comparison: North augusta vs Newton
- The percentage of residents with no formal schooling is the same in both North augusta and Newton at 0.5%.
- A higher percentage of residents in North augusta hold a high school diploma at 13.9% compared to 4.5% in Newton.
- More residents in North augusta have less than a high school education at 9.5% compared to 2.9% in Newton.
- In Newton, a larger share of residents have a bachelor's degree or higher at 54.7% compared to 27.8% in North augusta.
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.