Demographics details for North augusta, SC vs Helper, UT
Population Overview
Compare main population characteristics in North augusta, SC vs Helper, UT.
Data | North augusta | Helper |
---|---|---|
Population | 25,258 | 2,131 |
Median Age | 43.4 years | 43.2 years |
Median Income | $85,093 | $59,323 |
Married Families | 45.0% | 61.0% |
Poverty Level | 8% | 11% |
Unemployment Rate | 4.1 | 2.5 |
Population Comparison: North augusta vs Helper
- In North augusta, the population is higher at 25,258, compared to 2,131 in Helper.
- Residents in North augusta have a higher median age of 43.4 years compared to 43.2 years in Helper.
- North augusta has a higher median income of $85,093 compared to $59,323 in Helper.
- In Helper, the percentage of married families is higher at 61.0%, compared to 45.0% in North augusta.
- The poverty level is higher in Helper at 11%, compared to 8% in North augusta.
- The unemployment rate in North augusta is higher at 4.1%, compared to 2.5% in Helper.
Demographics
Demographics North augusta vs Helper provide insight into the diversity of the communities to compare.
Demographic | North augusta | Helper |
---|---|---|
Black | 14 | Data is updating |
White | 76 | 85 |
Asian | Data is updating | Data is updating |
Hispanic | 6 | 10 |
Two or More Races | 4 | 5 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: North augusta vs Helper
- A higher percentage of Black residents are in North augusta at 14% compared to 0% in Helper.
- The percentage of White residents is higher in Helper at 85% compared to 76% in North augusta.
- Both North augusta and Helper have the same percentage of Asian residents at 0%.
- Helper has a higher percentage of Hispanic residents at 10%, compared to 6% in North augusta.
- The percentage of residents identifying as two or more races is higher in Helper at 5%, compared to 4% in North augusta.
- The percentage of American Indian residents is the same in both North augusta and Helper at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | North augusta | Helper |
---|---|---|
Mental Health Not Good | 17.1% | 17.1% |
Physical Health Not Good | 11.4% | 11.4% |
Depression | 21.5% | 25.3% |
Smoking | 16.1% | 11.5% |
Binge Drinking | 16.8% | 14.2% |
Obesity | 35.8% | 36.9% |
Disability Percentage | 14.0% | 26.0% |
Health Statistics Comparison: North augusta vs Helper
- Poor mental health levels are equal in both North augusta and Helper at 17.1%.
- Higher depression rates are seen in Helper at 25.3% versus 21.5% in North augusta.
- Smoking is more prevalent in North augusta at 16.1% compared to 11.5% in Helper.
- Binge drinking is more common in North augusta at 16.8% compared to 14.2% in Helper.
- Helper has higher obesity rates at 36.9% compared to 35.8% in North augusta.
- There is a higher percentage of disabled individuals in Helper at 26.0% compared to 14.0% in North augusta.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | North augusta | Helper |
---|---|---|
No Schooling | 0.5% (132) | 0.0% (Data is updating) |
High School Diploma | 13.9% (3,507) | 23.4% (499) |
Less than High School | 9.5% (2,395) | 8.7% (185) |
Bachelor's Degree and Higher | 27.8% (7,010) | 18.7% (399) |
Education Levels Comparison: North augusta vs Helper
- A higher percentage of residents in North augusta have no formal schooling at 0.5% compared to 0.0% in Helper.
- In Helper, the rate of residents with high school diplomas is higher at 23.4% compared to 13.9% in North augusta.
- More residents in North augusta have less than a high school education at 9.5% compared to 8.7% in Helper.
- A higher percentage of residents in North augusta hold a bachelor's degree or higher at 27.8% compared to 18.7% in Helper.
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.