Demographics details for Pond eddy, NY vs Girdletree, MD

Population Overview

Compare main population characteristics in Pond eddy, NY vs Girdletree, MD.

Data Pond eddy Girdletree
Population 389 122
Median Age 45.0 years 57.4 years
Median Income $55,000 $129,167
Married Families 65.0% 50.0%
Poverty Level 10% Data is updating
Unemployment Rate 4.0 Data is updating

Population Comparison: Pond eddy vs Girdletree

  • In Pond eddy, the population is higher at 389, compared to 122 in Girdletree.
  • The median age in Girdletree is higher at 57.4 years, compared to 45.0 years in Pond eddy.
  • Girdletree has a higher median income of $129,167, compared to $55,000 in Pond eddy.
  • A higher percentage of married families is found in Pond eddy at 65.0% compared to 50.0% in Girdletree.
  • Pond eddy has a higher poverty level at 10% compared to 0% in Girdletree.
  • The unemployment rate in Pond eddy is higher at 4.0%, compared to 0.0% in Girdletree.

Demographics

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

Demographic Pond eddy Girdletree
Black 2 Data is updating
White 95 89
Asian 1 11
Hispanic 2 Data is updating
Two or More Races Data is updating Data is updating
American Indian Data is updating Data is updating

Demographics Comparison: Pond eddy vs Girdletree

  • A higher percentage of Black residents are in Pond eddy at 2% compared to 0% in Girdletree.
  • Pond eddy has a higher percentage of White residents at 95% compared to 89% in Girdletree.
  • In Girdletree, the Asian population stands at 11%, greater than 1% in Pond eddy.
  • The Hispanic community is larger in Pond eddy at 2% compared to 0% in Girdletree.
  • Both Pond eddy and Girdletree have the same percentage of residents identifying as two or more races at 0%.
  • The percentage of American Indian residents is the same in both Pond eddy and Girdletree at 0%.

Health Statistics

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

Health Metric Pond eddy Girdletree
Mental Health Not Good Data is updating% 16.7%
Physical Health Not Good Data is updating% 10.6%
Depression Data is updating% 20.8%
Smoking Data is updating% 18.7%
Binge Drinking Data is updating% 18.8%
Obesity Data is updating% 39.6%
Disability Percentage Data is updating% 8.0%

Health Statistics Comparison: Pond eddy vs Girdletree

  • In Girdletree, a higher percentage report poor mental health at 16.7% compared to 0.0% in Pond eddy.
  • Higher depression rates are seen in Girdletree at 20.8% versus 0.0% in Pond eddy.
  • Girdletree has a higher smoking rate at 18.7% compared to 0.0% in Pond eddy.
  • More residents engage in binge drinking in Girdletree at 18.8% compared to 0.0% in Pond eddy.
  • Girdletree has higher obesity rates at 39.6% compared to 0.0% in Pond eddy.
  • There is a higher percentage of disabled individuals in Girdletree at 8.0% 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 Pond eddy Girdletree
No Schooling 0.0% (Data is updating) 0.0% (Data is updating)
High School Diploma 0.0% (Data is updating) 44.3% (54)
Less than High School 0.0% (Data is updating) 19.7% (24)
Bachelor's Degree and Higher 0.0% (Data is updating) 5.7% (7)

Education Levels Comparison: Pond eddy vs Girdletree

  • The percentage of residents with no formal schooling is the same in both Pond eddy and Girdletree at 0.0%.
  • In Girdletree, the rate of residents with high school diplomas is higher at 44.3% compared to 0.0% in Pond eddy.
  • The percentage of residents with less than a high school education is higher in Girdletree at 19.7%, compared to 0.0% in Pond eddy.
  • In Girdletree, a larger share of residents have a bachelor's degree or higher at 5.7% 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.