Demographics details for Piffard, NY vs Springfield, KY
Population Overview
Compare main population characteristics in Piffard, NY vs Springfield, KY.
Data | Piffard | Springfield |
---|---|---|
Population | 248 | 2,876 |
Median Age | 69.3 years | 36.8 years |
Median Income | $49,052 | $48,333 |
Married Families | 31.0% | 30.0% |
Poverty Level | 8% | 12% |
Unemployment Rate | 3.2 | 3.2 |
Population Comparison: Piffard vs Springfield
- The population in Springfield is higher at 2,876, compared to 248 in Piffard.
- Residents in Piffard have a higher median age of 69.3 years compared to 36.8 years in Springfield.
- Piffard has a higher median income of $49,052 compared to $48,333 in Springfield.
- A higher percentage of married families is found in Piffard at 31.0% compared to 30.0% in Springfield.
- The poverty level is higher in Springfield at 12%, compared to 8% in Piffard.
- The unemployment rate is the same in both Piffard and Springfield at 3.2%.
Demographics
Demographics Piffard vs Springfield provide insight into the diversity of the communities to compare.
Demographic | Piffard | Springfield |
---|---|---|
Black | Data is updating | 19 |
White | 100 | 70 |
Asian | Data is updating | 1 |
Hispanic | Data is updating | 2 |
Two or More Races | Data is updating | 8 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Piffard vs Springfield
- In Springfield, the percentage of Black residents is higher at 19% compared to 0% in Piffard.
- Piffard has a higher percentage of White residents at 100% compared to 70% in Springfield.
- In Springfield, the Asian population stands at 1%, greater than 0% in Piffard.
- Springfield has a higher percentage of Hispanic residents at 2%, compared to 0% in Piffard.
- The percentage of residents identifying as two or more races is higher in Springfield at 8%, compared to 0% in Piffard.
- The percentage of American Indian residents is the same in both Piffard and Springfield at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Piffard | Springfield |
---|---|---|
Mental Health Not Good | 18.5% | 18.5% |
Physical Health Not Good | 13.2% | 13.6% |
Depression | 27.4% | 26.3% |
Smoking | 25.3% | 20.2% |
Binge Drinking | 18.0% | 14.2% |
Obesity | 43.7% | 44.2% |
Disability Percentage | 33.0% | 19.0% |
Health Statistics Comparison: Piffard vs Springfield
- Poor mental health levels are equal in both Piffard and Springfield at 18.5%.
- Depression is more prevalent in Piffard at 27.4% compared to 26.3% in Springfield.
- Smoking is more prevalent in Piffard at 25.3% compared to 20.2% in Springfield.
- Binge drinking is more common in Piffard at 18.0% compared to 14.2% in Springfield.
- Springfield has higher obesity rates at 44.2% compared to 43.7% in Piffard.
- Disability percentages are higher in Piffard at 33.0% compared to 19.0% in Springfield.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Piffard | Springfield |
---|---|---|
No Schooling | 12.5% (31) | 0.6% (16) |
High School Diploma | 21.0% (52) | 28.3% (815) |
Less than High School | 25.0% (62) | 8.4% (242) |
Bachelor's Degree and Higher | 14.1% (35) | 15.3% (440) |
Education Levels Comparison: Piffard vs Springfield
- A higher percentage of residents in Piffard have no formal schooling at 12.5% compared to 0.6% in Springfield.
- In Springfield, the rate of residents with high school diplomas is higher at 28.3% compared to 21.0% in Piffard.
- More residents in Piffard have less than a high school education at 25.0% compared to 8.4% in Springfield.
- In Springfield, a larger share of residents have a bachelor's degree or higher at 15.3% compared to 14.1% in Piffard.
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.