Demographics details for Philadelphia, PA vs Pond eddy, NY

Population Overview

Compare main population characteristics in Philadelphia, PA vs Pond eddy, NY.

Data Philadelphia Pond eddy
Population 1,567,258 389
Median Age 34.8 years 45.0 years
Median Income $57,537 $55,000
Married Families 26.0% 65.0%
Poverty Level 25% 10%
Unemployment Rate 4.7 4.0

Population Comparison: Philadelphia vs Pond eddy

  • In Philadelphia, the population is higher at 1,567,258, compared to 389 in Pond eddy.
  • The median age in Pond eddy is higher at 45.0 years, compared to 34.8 years in Philadelphia.
  • Philadelphia has a higher median income of $57,537 compared to $55,000 in Pond eddy.
  • In Pond eddy, the percentage of married families is higher at 65.0%, compared to 26.0% in Philadelphia.
  • Philadelphia has a higher poverty level at 25% compared to 10% in Pond eddy.
  • The unemployment rate in Philadelphia is higher at 4.7%, compared to 4.0% in Pond eddy.

Demographics

Demographics Philadelphia vs Pond eddy provide insight into the diversity of the communities to compare.

Demographic Philadelphia Pond eddy
Black 41 2
White 29 95
Asian 8 1
Hispanic 16 2
Two or More Races 6 Data is updating
American Indian Data is updating Data is updating

Demographics Comparison: Philadelphia vs Pond eddy

  • A higher percentage of Black residents are in Philadelphia at 41% compared to 2% in Pond eddy.
  • The percentage of White residents is higher in Pond eddy at 95% compared to 29% in Philadelphia.
  • The Asian population is larger in Philadelphia at 8% compared to 1% in Pond eddy.
  • The Hispanic community is larger in Philadelphia at 16% compared to 2% in Pond eddy.
  • More residents identify as two or more races in Philadelphia at 6% compared to 0% in Pond eddy.
  • The percentage of American Indian residents is the same in both Philadelphia and Pond eddy at 0%.

Health Statistics

The health statistics provide insights into prevalent health conditions in two communities.

Health Metric Philadelphia Pond eddy
Mental Health Not Good 18.0% Data is updating%
Physical Health Not Good 12.8% Data is updating%
Depression 21.0% Data is updating%
Smoking 18.9% Data is updating%
Binge Drinking 16.9% Data is updating%
Obesity 31.3% Data is updating%
Disability Percentage 17.0% Data is updating%

Health Statistics Comparison: Philadelphia vs Pond eddy

  • More residents in Philadelphia report poor mental health at 18.0% compared to 0.0% in Pond eddy.
  • Depression is more prevalent in Philadelphia at 21.0% compared to 0.0% in Pond eddy.
  • Smoking is more prevalent in Philadelphia at 18.9% compared to 0.0% in Pond eddy.
  • Binge drinking is more common in Philadelphia at 16.9% compared to 0.0% in Pond eddy.
  • Obesity rates are higher in Philadelphia at 31.3% compared to 0.0% in Pond eddy.
  • Disability percentages are higher in Philadelphia at 17.0% compared to 0.0% in Pond eddy.

Education Levels

The educational attainment in the area helps gauge the workforce's skill level and economic potential.

Education Level Philadelphia Pond eddy
No Schooling 1.5% (23,668) 0.0% (Data is updating)
High School Diploma 18.3% (287,402) 0.0% (Data is updating)
Less than High School 13.3% (207,719) 0.0% (Data is updating)
Bachelor's Degree and Higher 23.4% (366,310) 0.0% (Data is updating)

Education Levels Comparison: Philadelphia vs Pond eddy

  • A higher percentage of residents in Philadelphia have no formal schooling at 1.5% compared to 0.0% in Pond eddy.
  • A higher percentage of residents in Philadelphia hold a high school diploma at 18.3% compared to 0.0% in Pond eddy.
  • More residents in Philadelphia have less than a high school education at 13.3% compared to 0.0% in Pond eddy.
  • A higher percentage of residents in Philadelphia hold a bachelor's degree or higher at 23.4% compared to 0.0% in Pond eddy.

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.