Demographics details for Otto, NC vs Brewster, NY
Population Overview
Compare main population characteristics in Otto, NC vs Brewster, NY.
Data | Otto | Brewster |
---|---|---|
Population | 1,000 | 2,509 |
Median Age | 45.0 years | 32.9 years |
Median Income | $50,000 | $55,818 |
Married Families | 300.0% | 31.0% |
Poverty Level | 12% | Data is updating |
Unemployment Rate | 4.5 | 4.1 |
Population Comparison: Otto vs Brewster
- The population in Brewster is higher at 2,509, compared to 1,000 in Otto.
- Residents in Otto have a higher median age of 45.0 years compared to 32.9 years in Brewster.
- Brewster has a higher median income of $55,818, compared to $50,000 in Otto.
- A higher percentage of married families is found in Otto at 300.0% compared to 31.0% in Brewster.
- Otto has a higher poverty level at 12% compared to 0% in Brewster.
- The unemployment rate in Otto is higher at 4.5%, compared to 4.1% in Brewster.
Demographics
Demographics Otto vs Brewster provide insight into the diversity of the communities to compare.
Demographic | Otto | Brewster |
---|---|---|
Black | 5 | 2 |
White | 95 | 34 |
Asian | Data is updating | 1 |
Hispanic | Data is updating | 61 |
Two or More Races | Data is updating | 2 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Otto vs Brewster
- A higher percentage of Black residents are in Otto at 5% compared to 2% in Brewster.
- Otto has a higher percentage of White residents at 95% compared to 34% in Brewster.
- In Brewster, the Asian population stands at 1%, greater than 0% in Otto.
- Brewster has a higher percentage of Hispanic residents at 61%, compared to 0% in Otto.
- The percentage of residents identifying as two or more races is higher in Brewster at 2%, compared to 0% in Otto.
- The percentage of American Indian residents is the same in both Otto and Brewster at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Otto | Brewster |
---|---|---|
Mental Health Not Good | Data is updating% | 12.9% |
Physical Health Not Good | Data is updating% | 9.6% |
Depression | Data is updating% | 16.3% |
Smoking | Data is updating% | 13.6% |
Binge Drinking | Data is updating% | 18.0% |
Obesity | Data is updating% | 31.1% |
Disability Percentage | Data is updating% | 16.0% |
Health Statistics Comparison: Otto vs Brewster
- In Brewster, a higher percentage report poor mental health at 12.9% compared to 0.0% in Otto.
- Higher depression rates are seen in Brewster at 16.3% versus 0.0% in Otto.
- Brewster has a higher smoking rate at 13.6% compared to 0.0% in Otto.
- More residents engage in binge drinking in Brewster at 18.0% compared to 0.0% in Otto.
- Brewster has higher obesity rates at 31.1% compared to 0.0% in Otto.
- There is a higher percentage of disabled individuals in Brewster at 16.0% compared to 0.0% in Otto.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Otto | Brewster |
---|---|---|
No Schooling | 0.0% (Data is updating) | 3.0% (75) |
High School Diploma | 0.0% (Data is updating) | 17.3% (433) |
Less than High School | 0.0% (Data is updating) | 26.6% (668) |
Bachelor's Degree and Higher | 0.0% (Data is updating) | 15.8% (396) |
Education Levels Comparison: Otto vs Brewster
- In Brewster, a larger percentage of residents lack formal schooling at 3.0% compared to 0.0% in Otto.
- In Brewster, the rate of residents with high school diplomas is higher at 17.3% compared to 0.0% in Otto.
- The percentage of residents with less than a high school education is higher in Brewster at 26.6%, compared to 0.0% in Otto.
- In Brewster, a larger share of residents have a bachelor's degree or higher at 15.8% compared to 0.0% in Otto.
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.