Demographics details for Tucson, AZ vs Montgomery, NY
Population Overview
Compare main population characteristics in Tucson, AZ vs Montgomery, NY.
Data | Tucson | Montgomery |
---|---|---|
Population | 546,574 | 49,623 |
Median Age | 33.9 years | 40.6 years |
Median Income | $52,049 | $58,033 |
Married Families | 30.0% | 34.0% |
Poverty Level | 13% | 10% |
Unemployment Rate | 4.1 | 4.2 |
Population Comparison: Tucson vs Montgomery
- In Tucson, the population is higher at 546,574, compared to 49,623 in Montgomery.
- The median age in Montgomery is higher at 40.6 years, compared to 33.9 years in Tucson.
- Montgomery has a higher median income of $58,033, compared to $52,049 in Tucson.
- In Montgomery, the percentage of married families is higher at 34.0%, compared to 30.0% in Tucson.
- Tucson has a higher poverty level at 13% compared to 10% in Montgomery.
- Montgomery has a higher unemployment rate at 4.2% compared to 4.1% in Tucson.
Demographics
Demographics Tucson vs Montgomery provide insight into the diversity of the communities to compare.
Demographic | Tucson | Montgomery |
---|---|---|
Black | 5 | 3 |
White | 29 | 74 |
Asian | 3 | 1 |
Hispanic | 44 | 15 |
Two or More Races | 16 | 6 |
American Indian | 3 | 1 |
Demographics Comparison: Tucson vs Montgomery
- A higher percentage of Black residents are in Tucson at 5% compared to 3% in Montgomery.
- The percentage of White residents is higher in Montgomery at 74% compared to 29% in Tucson.
- The Asian population is larger in Tucson at 3% compared to 1% in Montgomery.
- The Hispanic community is larger in Tucson at 44% compared to 15% in Montgomery.
- More residents identify as two or more races in Tucson at 16% compared to 6% in Montgomery.
- A greater percentage of American Indian residents live in Tucson at 3% compared to 1% in Montgomery.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Tucson | Montgomery |
---|---|---|
Mental Health Not Good | 18.6% | 16.7% |
Physical Health Not Good | 13.1% | 12.3% |
Depression | 23.6% | 23.2% |
Smoking | 17.8% | 20.4% |
Binge Drinking | 16.5% | 17.8% |
Obesity | 34.9% | 35.8% |
Disability Percentage | 14.0% | 16.0% |
Health Statistics Comparison: Tucson vs Montgomery
- More residents in Tucson report poor mental health at 18.6% compared to 16.7% in Montgomery.
- Depression is more prevalent in Tucson at 23.6% compared to 23.2% in Montgomery.
- Montgomery has a higher smoking rate at 20.4% compared to 17.8% in Tucson.
- More residents engage in binge drinking in Montgomery at 17.8% compared to 16.5% in Tucson.
- Montgomery has higher obesity rates at 35.8% compared to 34.9% in Tucson.
- There is a higher percentage of disabled individuals in Montgomery at 16.0% compared to 14.0% in Tucson.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Tucson | Montgomery |
---|---|---|
No Schooling | 1.1% (5,757) | 1.1% (540) |
High School Diploma | 11.4% (62,581) | 20.6% (10,235) |
Less than High School | 16.0% (87,637) | 14.9% (7,375) |
Bachelor's Degree and Higher | 18.6% (101,769) | 13.7% (6,785) |
Education Levels Comparison: Tucson vs Montgomery
- The percentage of residents with no formal schooling is the same in both Tucson and Montgomery at 1.1%.
- In Montgomery, the rate of residents with high school diplomas is higher at 20.6% compared to 11.4% in Tucson.
- More residents in Tucson have less than a high school education at 16.0% compared to 14.9% in Montgomery.
- A higher percentage of residents in Tucson hold a bachelor's degree or higher at 18.6% compared to 13.7% in Montgomery.
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.