Demographics details for Waddington, NY vs Bryan, OH
Population Overview
Compare main population characteristics in Waddington, NY vs Bryan, OH.
Data | Waddington | Bryan |
---|---|---|
Population | 2,214 | 8,623 |
Median Age | 38.0 years | 46.5 years |
Median Income | $54,000 | $51,415 |
Married Families | 58.0% | 33.0% |
Poverty Level | 10% | 9% |
Unemployment Rate | 3.0 | 4.2 |
Population Comparison: Waddington vs Bryan
- The population in Bryan is higher at 8,623, compared to 2,214 in Waddington.
- The median age in Bryan is higher at 46.5 years, compared to 38.0 years in Waddington.
- Waddington has a higher median income of $54,000 compared to $51,415 in Bryan.
- A higher percentage of married families is found in Waddington at 58.0% compared to 33.0% in Bryan.
- Waddington has a higher poverty level at 10% compared to 9% in Bryan.
- Bryan has a higher unemployment rate at 4.2% compared to 3.0% in Waddington.
Demographics
Demographics Waddington vs Bryan provide insight into the diversity of the communities to compare.
Demographic | Waddington | Bryan |
---|---|---|
Black | Data is updating | 2 |
White | 100 | 92 |
Asian | Data is updating | 1 |
Hispanic | Data is updating | 4 |
Two or More Races | Data is updating | 1 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Waddington vs Bryan
- In Bryan, the percentage of Black residents is higher at 2% compared to 0% in Waddington.
- Waddington has a higher percentage of White residents at 100% compared to 92% in Bryan.
- In Bryan, the Asian population stands at 1%, greater than 0% in Waddington.
- Bryan has a higher percentage of Hispanic residents at 4%, compared to 0% in Waddington.
- The percentage of residents identifying as two or more races is higher in Bryan at 1%, compared to 0% in Waddington.
- The percentage of American Indian residents is the same in both Waddington and Bryan at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Waddington | Bryan |
---|---|---|
Mental Health Not Good | Data is updating% | 17.5% |
Physical Health Not Good | Data is updating% | 11.5% |
Depression | Data is updating% | 23.2% |
Smoking | Data is updating% | 20.5% |
Binge Drinking | Data is updating% | 18.3% |
Obesity | Data is updating% | 41.8% |
Disability Percentage | Data is updating% | 16.0% |
Health Statistics Comparison: Waddington vs Bryan
- In Bryan, a higher percentage report poor mental health at 17.5% compared to 0.0% in Waddington.
- Higher depression rates are seen in Bryan at 23.2% versus 0.0% in Waddington.
- Bryan has a higher smoking rate at 20.5% compared to 0.0% in Waddington.
- More residents engage in binge drinking in Bryan at 18.3% compared to 0.0% in Waddington.
- Bryan has higher obesity rates at 41.8% compared to 0.0% in Waddington.
- There is a higher percentage of disabled individuals in Bryan at 16.0% compared to 0.0% in Waddington.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Waddington | Bryan |
---|---|---|
No Schooling | 0.0% (Data is updating) | 0.5% (45) |
High School Diploma | 0.0% (Data is updating) | 27.7% (2,385) |
Less than High School | 0.0% (Data is updating) | 16.1% (1,391) |
Bachelor's Degree and Higher | 0.0% (Data is updating) | 11.4% (984) |
Education Levels Comparison: Waddington vs Bryan
- In Bryan, a larger percentage of residents lack formal schooling at 0.5% compared to 0.0% in Waddington.
- In Bryan, the rate of residents with high school diplomas is higher at 27.7% compared to 0.0% in Waddington.
- The percentage of residents with less than a high school education is higher in Bryan at 16.1%, compared to 0.0% in Waddington.
- In Bryan, a larger share of residents have a bachelor's degree or higher at 11.4% compared to 0.0% in Waddington.
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.