Demographics details for Pownal, ME vs Martin, SD
Population Overview
Compare main population characteristics in Pownal, ME vs Martin, SD.
| Data | Pownal | Martin |
|---|---|---|
| Population | 1,548 | 937 |
| Median Age | 43.0 years | 34.5 years |
| Median Income | $75,000 | $47,692 |
| Married Families | 30.0% | 25.0% |
| Poverty Level | 6% | 12% |
| Unemployment Rate | 2.1 | 3.0 |
Population Comparison: Pownal vs Martin
- In Pownal, the population is higher at 1,548, compared to 937 in Martin.
- Residents in Pownal have a higher median age of 43.0 years compared to 34.5 years in Martin.
- Pownal has a higher median income of $75,000 compared to $47,692 in Martin.
- A higher percentage of married families is found in Pownal at 30.0% compared to 25.0% in Martin.
- The poverty level is higher in Martin at 12%, compared to 6% in Pownal.
- Martin has a higher unemployment rate at 3.0% compared to 2.1% in Pownal.
Demographics
Demographics Pownal vs Martin provide insight into the diversity of the communities to compare.
| Demographic | Pownal | Martin |
|---|---|---|
| Black | 1 | Data is updating |
| White | 98 | 42 |
| Asian | Data is updating | 5 |
| Hispanic | 1 | 15 |
| Two or More Races | Data is updating | 5 |
| American Indian | Data is updating | 33 |
Demographics Comparison: Pownal vs Martin
- A higher percentage of Black residents are in Pownal at 1% compared to 0% in Martin.
- Pownal has a higher percentage of White residents at 98% compared to 42% in Martin.
- In Martin, the Asian population stands at 5%, greater than 0% in Pownal.
- Martin 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 Martin at 5%, compared to 0% in Pownal.
- In Martin, the percentage of American Indian residents is higher at 33%, compared to 0% in Pownal.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Pownal | Martin |
|---|---|---|
| Mental Health Not Good | Data is updating% | 17.2% |
| Physical Health Not Good | Data is updating% | 14.0% |
| Depression | Data is updating% | 17.0% |
| Smoking | Data is updating% | 27.5% |
| Binge Drinking | Data is updating% | 18.6% |
| Obesity | Data is updating% | 42.1% |
| Disability Percentage | Data is updating% | 17.0% |
Health Statistics Comparison: Pownal vs Martin
- In Martin, a higher percentage report poor mental health at 17.2% compared to 0.0% in Pownal.
- Higher depression rates are seen in Martin at 17.0% versus 0.0% in Pownal.
- Martin has a higher smoking rate at 27.5% compared to 0.0% in Pownal.
- More residents engage in binge drinking in Martin at 18.6% compared to 0.0% in Pownal.
- Martin has higher obesity rates at 42.1% compared to 0.0% in Pownal.
- There is a higher percentage of disabled individuals in Martin at 17.0% 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 | Martin |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.9% (8) |
| High School Diploma | 0.0% (Data is updating) | 17.0% (159) |
| Less than High School | 0.0% (Data is updating) | 3.2% (30) |
| Bachelor's Degree and Higher | 0.0% (Data is updating) | 22.5% (211) |
Education Levels Comparison: Pownal vs Martin
- In Martin, a larger percentage of residents lack formal schooling at 0.9% compared to 0.0% in Pownal.
- In Martin, the rate of residents with high school diplomas is higher at 17.0% compared to 0.0% in Pownal.
- The percentage of residents with less than a high school education is higher in Martin at 3.2%, compared to 0.0% in Pownal.
- In Martin, a larger share of residents have a bachelor's degree or higher at 22.5% 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.