Demographics details for North tonawanda, NY vs Gray, ME
Population Overview
Compare main population characteristics in North tonawanda, NY vs Gray, ME.
Data | North tonawanda | Gray |
---|---|---|
Population | 30,235 | 7,761 |
Median Age | 43.4 years | 43.0 years |
Median Income | $66,836 | $81,712 |
Married Families | 42.0% | 60.0% |
Poverty Level | 6% | 5% |
Unemployment Rate | 3.5 | 2.1 |
Population Comparison: North tonawanda vs Gray
- In North tonawanda, the population is higher at 30,235, compared to 7,761 in Gray.
- Residents in North tonawanda have a higher median age of 43.4 years compared to 43.0 years in Gray.
- Gray has a higher median income of $81,712, compared to $66,836 in North tonawanda.
- In Gray, the percentage of married families is higher at 60.0%, compared to 42.0% in North tonawanda.
- North tonawanda has a higher poverty level at 6% compared to 5% in Gray.
- The unemployment rate in North tonawanda is higher at 3.5%, compared to 2.1% in Gray.
Demographics
Demographics North tonawanda vs Gray provide insight into the diversity of the communities to compare.
Demographic | North tonawanda | Gray |
---|---|---|
Black | 2 | 1 |
White | 92 | 95 |
Asian | 1 | 1 |
Hispanic | 2 | 3 |
Two or More Races | 3 | 2 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: North tonawanda vs Gray
- A higher percentage of Black residents are in North tonawanda at 2% compared to 1% in Gray.
- The percentage of White residents is higher in Gray at 95% compared to 92% in North tonawanda.
- Both North tonawanda and Gray have the same percentage of Asian residents at 1%.
- Gray has a higher percentage of Hispanic residents at 3%, compared to 2% in North tonawanda.
- More residents identify as two or more races in North tonawanda at 3% compared to 2% in Gray.
- The percentage of American Indian residents is the same in both North tonawanda and Gray at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | North tonawanda | Gray |
---|---|---|
Mental Health Not Good | 16.5% | Data is updating% |
Physical Health Not Good | 10.5% | Data is updating% |
Depression | 25.7% | Data is updating% |
Smoking | 20.2% | Data is updating% |
Binge Drinking | 19.1% | Data is updating% |
Obesity | 34.2% | Data is updating% |
Disability Percentage | 15.0% | Data is updating% |
Health Statistics Comparison: North tonawanda vs Gray
- More residents in North tonawanda report poor mental health at 16.5% compared to 0.0% in Gray.
- Depression is more prevalent in North tonawanda at 25.7% compared to 0.0% in Gray.
- Smoking is more prevalent in North tonawanda at 20.2% compared to 0.0% in Gray.
- Binge drinking is more common in North tonawanda at 19.1% compared to 0.0% in Gray.
- Obesity rates are higher in North tonawanda at 34.2% compared to 0.0% in Gray.
- Disability percentages are higher in North tonawanda at 15.0% compared to 0.0% in Gray.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | North tonawanda | Gray |
---|---|---|
No Schooling | 1.2% (368) | 0.0% (Data is updating) |
High School Diploma | 22.0% (6,652) | 0.0% (Data is updating) |
Less than High School | 9.7% (2,946) | 0.0% (Data is updating) |
Bachelor's Degree and Higher | 20.8% (6,298) | 0.0% (Data is updating) |
Education Levels Comparison: North tonawanda vs Gray
- A higher percentage of residents in North tonawanda have no formal schooling at 1.2% compared to 0.0% in Gray.
- A higher percentage of residents in North tonawanda hold a high school diploma at 22.0% compared to 0.0% in Gray.
- More residents in North tonawanda have less than a high school education at 9.7% compared to 0.0% in Gray.
- A higher percentage of residents in North tonawanda hold a bachelor's degree or higher at 20.8% compared to 0.0% in Gray.
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.