Demographics details for Easton, PA vs Montgomery, MN
Population Overview
Compare main population characteristics in Easton, PA vs Montgomery, MN.
| Data | Easton | Montgomery |
|---|---|---|
| Population | 30,341 | 3,485 |
| Median Age | 35.5 years | 37.9 years |
| Median Income | $62,642 | $61,677 |
| Married Families | 27.0% | 34.0% |
| Poverty Level | 15% | 5% |
| Unemployment Rate | 4.4 | 3.2 |
Population Comparison: Easton vs Montgomery
- In Easton, the population is higher at 30,341, compared to 3,485 in Montgomery.
- The median age in Montgomery is higher at 37.9 years, compared to 35.5 years in Easton.
- Easton has a higher median income of $62,642 compared to $61,677 in Montgomery.
- In Montgomery, the percentage of married families is higher at 34.0%, compared to 27.0% in Easton.
- Easton has a higher poverty level at 15% compared to 5% in Montgomery.
- The unemployment rate in Easton is higher at 4.4%, compared to 3.2% in Montgomery.
Demographics
Demographics Easton vs Montgomery provide insight into the diversity of the communities to compare.
| Demographic | Easton | Montgomery |
|---|---|---|
| Black | 15 | 2 |
| White | 51 | 82 |
| Asian | 1 | Data is updating |
| Hispanic | 22 | 9 |
| Two or More Races | 11 | 5 |
| American Indian | Data is updating | 2 |
Demographics Comparison: Easton vs Montgomery
- A higher percentage of Black residents are in Easton at 15% compared to 2% in Montgomery.
- The percentage of White residents is higher in Montgomery at 82% compared to 51% in Easton.
- The Asian population is larger in Easton at 1% compared to 0% in Montgomery.
- The Hispanic community is larger in Easton at 22% compared to 9% in Montgomery.
- More residents identify as two or more races in Easton at 11% compared to 5% in Montgomery.
- In Montgomery, the percentage of American Indian residents is higher at 2%, compared to 0% in Easton.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Easton | Montgomery |
|---|---|---|
| Mental Health Not Good | 17.5% | 15.2% |
| Physical Health Not Good | 13.2% | 9.4% |
| Depression | 21.7% | 22.7% |
| Smoking | 20.9% | 18.0% |
| Binge Drinking | 17.7% | 21.6% |
| Obesity | 36.0% | 36.9% |
| Disability Percentage | 12.0% | 10.0% |
Health Statistics Comparison: Easton vs Montgomery
- More residents in Easton report poor mental health at 17.5% compared to 15.2% in Montgomery.
- Higher depression rates are seen in Montgomery at 22.7% versus 21.7% in Easton.
- Smoking is more prevalent in Easton at 20.9% compared to 18.0% in Montgomery.
- More residents engage in binge drinking in Montgomery at 21.6% compared to 17.7% in Easton.
- Montgomery has higher obesity rates at 36.9% compared to 36.0% in Easton.
- Disability percentages are higher in Easton at 12.0% compared to 10.0% in Montgomery.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Easton | Montgomery |
|---|---|---|
| No Schooling | 0.6% (189) | 0.0% (Data is updating) |
| High School Diploma | 19.6% (5,936) | 18.5% (646) |
| Less than High School | 16.2% (4,901) | 6.4% (224) |
| Bachelor's Degree and Higher | 15.9% (4,813) | 10.5% (365) |
Education Levels Comparison: Easton vs Montgomery
- A higher percentage of residents in Easton have no formal schooling at 0.6% compared to 0.0% in Montgomery.
- A higher percentage of residents in Easton hold a high school diploma at 19.6% compared to 18.5% in Montgomery.
- More residents in Easton have less than a high school education at 16.2% compared to 6.4% in Montgomery.
- A higher percentage of residents in Easton hold a bachelor's degree or higher at 15.9% compared to 10.5% 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.