Demographics details for Pond eddy, NY vs Mukwonago, WI

Population Overview

Compare main population characteristics in Pond eddy, NY vs Mukwonago, WI.

Data Pond eddy Mukwonago
Population 389 8,446
Median Age 45.0 years 39.7 years
Median Income $55,000 $91,827
Married Families 65.0% 44.0%
Poverty Level 10% 5%
Unemployment Rate 4.0 3.4

Population Comparison: Pond eddy vs Mukwonago

  • The population in Mukwonago is higher at 8,446, compared to 389 in Pond eddy.
  • Residents in Pond eddy have a higher median age of 45.0 years compared to 39.7 years in Mukwonago.
  • Mukwonago has a higher median income of $91,827, compared to $55,000 in Pond eddy.
  • A higher percentage of married families is found in Pond eddy at 65.0% compared to 44.0% in Mukwonago.
  • Pond eddy has a higher poverty level at 10% compared to 5% in Mukwonago.
  • The unemployment rate in Pond eddy is higher at 4.0%, compared to 3.4% in Mukwonago.

Demographics

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

Demographic Pond eddy Mukwonago
Black 2 Data is updating
White 95 82
Asian 1 4
Hispanic 2 7
Two or More Races Data is updating 7
American Indian Data is updating Data is updating

Demographics Comparison: Pond eddy vs Mukwonago

  • A higher percentage of Black residents are in Pond eddy at 2% compared to 0% in Mukwonago.
  • Pond eddy has a higher percentage of White residents at 95% compared to 82% in Mukwonago.
  • In Mukwonago, the Asian population stands at 4%, greater than 1% in Pond eddy.
  • Mukwonago has a higher percentage of Hispanic residents at 7%, compared to 2% in Pond eddy.
  • The percentage of residents identifying as two or more races is higher in Mukwonago at 7%, compared to 0% in Pond eddy.
  • The percentage of American Indian residents is the same in both Pond eddy and Mukwonago at 0%.

Health Statistics

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

Health Metric Pond eddy Mukwonago
Mental Health Not Good Data is updating% 13.8%
Physical Health Not Good Data is updating% 8.6%
Depression Data is updating% 21.2%
Smoking Data is updating% 13.8%
Binge Drinking Data is updating% 25.2%
Obesity Data is updating% 35.3%
Disability Percentage Data is updating% 10.0%

Health Statistics Comparison: Pond eddy vs Mukwonago

  • In Mukwonago, a higher percentage report poor mental health at 13.8% compared to 0.0% in Pond eddy.
  • Higher depression rates are seen in Mukwonago at 21.2% versus 0.0% in Pond eddy.
  • Mukwonago has a higher smoking rate at 13.8% compared to 0.0% in Pond eddy.
  • More residents engage in binge drinking in Mukwonago at 25.2% compared to 0.0% in Pond eddy.
  • Mukwonago has higher obesity rates at 35.3% compared to 0.0% in Pond eddy.
  • There is a higher percentage of disabled individuals in Mukwonago at 10.0% 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 Mukwonago
No Schooling 0.0% (Data is updating) 0.6% (48)
High School Diploma 0.0% (Data is updating) 17.0% (1,435)
Less than High School 0.0% (Data is updating) 4.7% (394)
Bachelor's Degree and Higher 0.0% (Data is updating) 25.3% (2,138)

Education Levels Comparison: Pond eddy vs Mukwonago

  • In Mukwonago, a larger percentage of residents lack formal schooling at 0.6% compared to 0.0% in Pond eddy.
  • In Mukwonago, the rate of residents with high school diplomas is higher at 17.0% compared to 0.0% in Pond eddy.
  • The percentage of residents with less than a high school education is higher in Mukwonago at 4.7%, compared to 0.0% in Pond eddy.
  • In Mukwonago, a larger share of residents have a bachelor's degree or higher at 25.3% 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.