Demographics details for Pownal, ME vs Montgomery, NY
Population Overview
Compare main population characteristics in Pownal, ME vs Montgomery, NY.
Data | Pownal | Montgomery |
---|---|---|
Population | 1,548 | 49,623 |
Median Age | 43.0 years | 40.6 years |
Median Income | $75,000 | $58,033 |
Married Families | 30.0% | 34.0% |
Poverty Level | 6% | 10% |
Unemployment Rate | 2.1 | 4.2 |
Population Comparison: Pownal vs Montgomery
- The population in Montgomery is higher at 49,623, compared to 1,548 in Pownal.
- Residents in Pownal have a higher median age of 43.0 years compared to 40.6 years in Montgomery.
- Pownal has a higher median income of $75,000 compared to $58,033 in Montgomery.
- In Montgomery, the percentage of married families is higher at 34.0%, compared to 30.0% in Pownal.
- The poverty level is higher in Montgomery at 10%, compared to 6% in Pownal.
- Montgomery has a higher unemployment rate at 4.2% compared to 2.1% in Pownal.
Demographics
Demographics Pownal vs Montgomery provide insight into the diversity of the communities to compare.
Demographic | Pownal | Montgomery |
---|---|---|
Black | 1 | 3 |
White | 98 | 74 |
Asian | Data is updating | 1 |
Hispanic | 1 | 15 |
Two or More Races | Data is updating | 6 |
American Indian | Data is updating | 1 |
Demographics Comparison: Pownal vs Montgomery
- In Montgomery, the percentage of Black residents is higher at 3% compared to 1% in Pownal.
- Pownal has a higher percentage of White residents at 98% compared to 74% in Montgomery.
- In Montgomery, the Asian population stands at 1%, greater than 0% in Pownal.
- Montgomery has a higher percentage of Hispanic residents at 15%, compared to 1% in Pownal.
- The percentage of residents identifying as two or more races is higher in Montgomery at 6%, compared to 0% in Pownal.
- In Montgomery, the percentage of American Indian residents is higher at 1%, compared to 0% in Pownal.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Pownal | Montgomery |
---|---|---|
Mental Health Not Good | Data is updating% | 16.7% |
Physical Health Not Good | Data is updating% | 12.3% |
Depression | Data is updating% | 23.2% |
Smoking | Data is updating% | 20.4% |
Binge Drinking | Data is updating% | 17.8% |
Obesity | Data is updating% | 35.8% |
Disability Percentage | Data is updating% | 16.0% |
Health Statistics Comparison: Pownal vs Montgomery
- In Montgomery, a higher percentage report poor mental health at 16.7% compared to 0.0% in Pownal.
- Higher depression rates are seen in Montgomery at 23.2% versus 0.0% in Pownal.
- Montgomery has a higher smoking rate at 20.4% compared to 0.0% in Pownal.
- More residents engage in binge drinking in Montgomery at 17.8% compared to 0.0% in Pownal.
- Montgomery has higher obesity rates at 35.8% compared to 0.0% in Pownal.
- There is a higher percentage of disabled individuals in Montgomery at 16.0% compared to 0.0% in Pownal.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Pownal | Montgomery |
---|---|---|
No Schooling | 0.0% (Data is updating) | 1.1% (540) |
High School Diploma | 0.0% (Data is updating) | 20.6% (10,235) |
Less than High School | 0.0% (Data is updating) | 14.9% (7,375) |
Bachelor's Degree and Higher | 0.0% (Data is updating) | 13.7% (6,785) |
Education Levels Comparison: Pownal vs Montgomery
- In Montgomery, a larger percentage of residents lack formal schooling at 1.1% compared to 0.0% in Pownal.
- In Montgomery, the rate of residents with high school diplomas is higher at 20.6% compared to 0.0% in Pownal.
- The percentage of residents with less than a high school education is higher in Montgomery at 14.9%, compared to 0.0% in Pownal.
- In Montgomery, a larger share of residents have a bachelor's degree or higher at 13.7% compared to 0.0% in Pownal.
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.