Demographics details for Whiting, KS vs Broadalbin, NY
Population Overview
Compare main population characteristics in Whiting, KS vs Broadalbin, NY.
Data | Whiting | Broadalbin |
---|---|---|
Population | 195 | 5,158 |
Median Age | 33.7 years | 40.0 years |
Median Income | $52,000 | $60,000 |
Married Families | 47.0% | 49.0% |
Poverty Level | Data is updating | 8% |
Unemployment Rate | Data is updating | 4.0 |
Population Comparison: Whiting vs Broadalbin
- The population in Broadalbin is higher at 5,158, compared to 195 in Whiting.
- The median age in Broadalbin is higher at 40.0 years, compared to 33.7 years in Whiting.
- Broadalbin has a higher median income of $60,000, compared to $52,000 in Whiting.
- In Broadalbin, the percentage of married families is higher at 49.0%, compared to 47.0% in Whiting.
- The poverty level is higher in Broadalbin at 8%, compared to 0% in Whiting.
- Broadalbin has a higher unemployment rate at 4.0% compared to 0.0% in Whiting.
Demographics
Demographics Whiting vs Broadalbin provide insight into the diversity of the communities to compare.
Demographic | Whiting | Broadalbin |
---|---|---|
Black | Data is updating | Data is updating |
White | 87 | 95 |
Asian | Data is updating | 1 |
Hispanic | 2 | 2 |
Two or More Races | 11 | 2 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Whiting vs Broadalbin
- The percentage of Black residents is the same in both Whiting and Broadalbin at 0%.
- The percentage of White residents is higher in Broadalbin at 95% compared to 87% in Whiting.
- In Broadalbin, the Asian population stands at 1%, greater than 0% in Whiting.
- The percentage of Hispanic residents is the same in both Whiting and Broadalbin at 2%.
- More residents identify as two or more races in Whiting at 11% compared to 2% in Broadalbin.
- The percentage of American Indian residents is the same in both Whiting and Broadalbin at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Whiting | Broadalbin |
---|---|---|
Mental Health Not Good | 16.1% | Data is updating% |
Physical Health Not Good | 9.9% | Data is updating% |
Depression | 22.9% | Data is updating% |
Smoking | 17.9% | Data is updating% |
Binge Drinking | 19.3% | Data is updating% |
Obesity | 39.3% | Data is updating% |
Disability Percentage | 13.0% | Data is updating% |
Health Statistics Comparison: Whiting vs Broadalbin
- More residents in Whiting report poor mental health at 16.1% compared to 0.0% in Broadalbin.
- Depression is more prevalent in Whiting at 22.9% compared to 0.0% in Broadalbin.
- Smoking is more prevalent in Whiting at 17.9% compared to 0.0% in Broadalbin.
- Binge drinking is more common in Whiting at 19.3% compared to 0.0% in Broadalbin.
- Obesity rates are higher in Whiting at 39.3% compared to 0.0% in Broadalbin.
- Disability percentages are higher in Whiting at 13.0% compared to 0.0% in Broadalbin.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Whiting | Broadalbin |
---|---|---|
No Schooling | 0.0% (Data is updating) | 0.0% (Data is updating) |
High School Diploma | 28.7% (56) | 0.0% (Data is updating) |
Less than High School | 9.2% (18) | 0.0% (Data is updating) |
Bachelor's Degree and Higher | 14.9% (29) | 0.0% (Data is updating) |
Education Levels Comparison: Whiting vs Broadalbin
- The percentage of residents with no formal schooling is the same in both Whiting and Broadalbin at 0.0%.
- A higher percentage of residents in Whiting hold a high school diploma at 28.7% compared to 0.0% in Broadalbin.
- More residents in Whiting have less than a high school education at 9.2% compared to 0.0% in Broadalbin.
- A higher percentage of residents in Whiting hold a bachelor's degree or higher at 14.9% compared to 0.0% in Broadalbin.
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.