Demographics details for Washta, IA vs Piffard, NY
Population Overview
Compare main population characteristics in Washta, IA vs Piffard, NY.
Data | Washta | Piffard |
---|---|---|
Population | 205 | 248 |
Median Age | 59.3 years | 69.3 years |
Median Income | $49,500 | $49,052 |
Married Families | 32.0% | 31.0% |
Poverty Level | 6% | 8% |
Unemployment Rate | 2.3 | 3.2 |
Population Comparison: Washta vs Piffard
- The population in Piffard is higher at 248, compared to 205 in Washta.
- The median age in Piffard is higher at 69.3 years, compared to 59.3 years in Washta.
- Washta has a higher median income of $49,500 compared to $49,052 in Piffard.
- A higher percentage of married families is found in Washta at 32.0% compared to 31.0% in Piffard.
- The poverty level is higher in Piffard at 8%, compared to 6% in Washta.
- Piffard has a higher unemployment rate at 3.2% compared to 2.3% in Washta.
Demographics
Demographics Washta vs Piffard provide insight into the diversity of the communities to compare.
Demographic | Washta | Piffard |
---|---|---|
Black | Data is updating | Data is updating |
White | 94 | 100 |
Asian | Data is updating | Data is updating |
Hispanic | 4 | Data is updating |
Two or More Races | 2 | Data is updating |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Washta vs Piffard
- The percentage of Black residents is the same in both Washta and Piffard at 0%.
- The percentage of White residents is higher in Piffard at 100% compared to 94% in Washta.
- Both Washta and Piffard have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Washta at 4% compared to 0% in Piffard.
- More residents identify as two or more races in Washta at 2% compared to 0% in Piffard.
- The percentage of American Indian residents is the same in both Washta and Piffard at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Washta | Piffard |
---|---|---|
Mental Health Not Good | 15.6% | 18.5% |
Physical Health Not Good | 9.3% | 13.2% |
Depression | 19.0% | 27.4% |
Smoking | 16.8% | 25.3% |
Binge Drinking | 21.8% | 18.0% |
Obesity | 40.8% | 43.7% |
Disability Percentage | 17.0% | 33.0% |
Health Statistics Comparison: Washta vs Piffard
- In Piffard, a higher percentage report poor mental health at 18.5% compared to 15.6% in Washta.
- Higher depression rates are seen in Piffard at 27.4% versus 19.0% in Washta.
- Piffard has a higher smoking rate at 25.3% compared to 16.8% in Washta.
- Binge drinking is more common in Washta at 21.8% compared to 18.0% in Piffard.
- Piffard has higher obesity rates at 43.7% compared to 40.8% in Washta.
- There is a higher percentage of disabled individuals in Piffard at 33.0% compared to 17.0% in Washta.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Washta | Piffard |
---|---|---|
No Schooling | 0.0% (Data is updating) | 12.5% (31) |
High School Diploma | 30.2% (62) | 21.0% (52) |
Less than High School | 17.6% (36) | 25.0% (62) |
Bachelor's Degree and Higher | 8.3% (17) | 14.1% (35) |
Education Levels Comparison: Washta vs Piffard
- In Piffard, a larger percentage of residents lack formal schooling at 12.5% compared to 0.0% in Washta.
- A higher percentage of residents in Washta hold a high school diploma at 30.2% compared to 21.0% in Piffard.
- The percentage of residents with less than a high school education is higher in Piffard at 25.0%, compared to 17.6% in Washta.
- In Piffard, a larger share of residents have a bachelor's degree or higher at 14.1% compared to 8.3% in Washta.
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.