Demographics details for New riegel, OH vs Bryant, SD
Population Overview
Compare main population characteristics in New riegel, OH vs Bryant, SD.
Data | New riegel | Bryant |
---|---|---|
Population | 282 | 473 |
Median Age | 32.3 years | 22.8 years |
Median Income | $57,500 | $58,558 |
Married Families | 46.0% | 56.0% |
Poverty Level | 6% | 10% |
Unemployment Rate | 2.5 | 2.5 |
Population Comparison: New riegel vs Bryant
- The population in Bryant is higher at 473, compared to 282 in New riegel.
- Residents in New riegel have a higher median age of 32.3 years compared to 22.8 years in Bryant.
- Bryant has a higher median income of $58,558, compared to $57,500 in New riegel.
- In Bryant, the percentage of married families is higher at 56.0%, compared to 46.0% in New riegel.
- The poverty level is higher in Bryant at 10%, compared to 6% in New riegel.
- The unemployment rate is the same in both New riegel and Bryant at 2.5%.
Demographics
Demographics New riegel vs Bryant provide insight into the diversity of the communities to compare.
Demographic | New riegel | Bryant |
---|---|---|
Black | Data is updating | Data is updating |
White | 69 | 89 |
Asian | Data is updating | Data is updating |
Hispanic | 21 | 11 |
Two or More Races | 10 | Data is updating |
American Indian | Data is updating | Data is updating |
Demographics Comparison: New riegel vs Bryant
- The percentage of Black residents is the same in both New riegel and Bryant at 0%.
- The percentage of White residents is higher in Bryant at 89% compared to 69% in New riegel.
- Both New riegel and Bryant have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in New riegel at 21% compared to 11% in Bryant.
- More residents identify as two or more races in New riegel at 10% compared to 0% in Bryant.
- The percentage of American Indian residents is the same in both New riegel and Bryant at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | New riegel | Bryant |
---|---|---|
Mental Health Not Good | 16.3% | 13.2% |
Physical Health Not Good | 10.6% | 9.0% |
Depression | 22.8% | 18.0% |
Smoking | 19.3% | 17.5% |
Binge Drinking | 19.4% | 20.1% |
Obesity | 39.6% | 36.6% |
Disability Percentage | 18.0% | 10.0% |
Health Statistics Comparison: New riegel vs Bryant
- More residents in New riegel report poor mental health at 16.3% compared to 13.2% in Bryant.
- Depression is more prevalent in New riegel at 22.8% compared to 18.0% in Bryant.
- Smoking is more prevalent in New riegel at 19.3% compared to 17.5% in Bryant.
- More residents engage in binge drinking in Bryant at 20.1% compared to 19.4% in New riegel.
- Obesity rates are higher in New riegel at 39.6% compared to 36.6% in Bryant.
- Disability percentages are higher in New riegel at 18.0% compared to 10.0% in Bryant.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | New riegel | Bryant |
---|---|---|
No Schooling | 0.0% (Data is updating) | 3.4% (16) |
High School Diploma | 27.7% (78) | 32.8% (155) |
Less than High School | 12.8% (36) | 33.0% (156) |
Bachelor's Degree and Higher | 11.3% (32) | 6.1% (29) |
Education Levels Comparison: New riegel vs Bryant
- In Bryant, a larger percentage of residents lack formal schooling at 3.4% compared to 0.0% in New riegel.
- In Bryant, the rate of residents with high school diplomas is higher at 32.8% compared to 27.7% in New riegel.
- The percentage of residents with less than a high school education is higher in Bryant at 33.0%, compared to 12.8% in New riegel.
- A higher percentage of residents in New riegel hold a bachelor's degree or higher at 11.3% compared to 6.1% in Bryant.
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.