Demographics details for Wappingers falls, NY vs Milford, UT

Population Overview

Compare main population characteristics in Wappingers falls, NY vs Milford, UT.

Data Wappingers falls Milford
Population 6,064 1,454
Median Age 47.9 years 24.8 years
Median Income $61,554 $83,783
Married Families 32.0% 50.0%
Poverty Level 5% 10%
Unemployment Rate 3.5 3.2

Population Comparison: Wappingers falls vs Milford

  • In Wappingers falls, the population is higher at 6,064, compared to 1,454 in Milford.
  • Residents in Wappingers falls have a higher median age of 47.9 years compared to 24.8 years in Milford.
  • Milford has a higher median income of $83,783, compared to $61,554 in Wappingers falls.
  • In Milford, the percentage of married families is higher at 50.0%, compared to 32.0% in Wappingers falls.
  • The poverty level is higher in Milford at 10%, compared to 5% in Wappingers falls.
  • The unemployment rate in Wappingers falls is higher at 3.5%, compared to 3.2% in Milford.

Demographics

Demographics Wappingers falls vs Milford provide insight into the diversity of the communities to compare.

Demographic Wappingers falls Milford
Black 13 Data is updating
White 61 74
Asian 3 Data is updating
Hispanic 20 19
Two or More Races 3 6
American Indian Data is updating 1

Demographics Comparison: Wappingers falls vs Milford

  • A higher percentage of Black residents are in Wappingers falls at 13% compared to 0% in Milford.
  • The percentage of White residents is higher in Milford at 74% compared to 61% in Wappingers falls.
  • The Asian population is larger in Wappingers falls at 3% compared to 0% in Milford.
  • The Hispanic community is larger in Wappingers falls at 20% compared to 19% in Milford.
  • The percentage of residents identifying as two or more races is higher in Milford at 6%, compared to 3% in Wappingers falls.
  • In Milford, the percentage of American Indian residents is higher at 1%, compared to 0% in Wappingers falls.

Health Statistics

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

Health Metric Wappingers falls Milford
Mental Health Not Good 16.5% 17.2%
Physical Health Not Good 11.9% 12.0%
Depression 22.8% 23.5%
Smoking 20.1% 12.4%
Binge Drinking 16.4% 13.2%
Obesity 34.7% 34.2%
Disability Percentage 16.0% 14.0%

Health Statistics Comparison: Wappingers falls vs Milford

  • In Milford, a higher percentage report poor mental health at 17.2% compared to 16.5% in Wappingers falls.
  • Higher depression rates are seen in Milford at 23.5% versus 22.8% in Wappingers falls.
  • Smoking is more prevalent in Wappingers falls at 20.1% compared to 12.4% in Milford.
  • Binge drinking is more common in Wappingers falls at 16.4% compared to 13.2% in Milford.
  • Obesity rates are higher in Wappingers falls at 34.7% compared to 34.2% in Milford.
  • Disability percentages are higher in Wappingers falls at 16.0% compared to 14.0% in Milford.

Education Levels

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

Education Level Wappingers falls Milford
No Schooling 0.9% (57) 0.3% (5)
High School Diploma 18.1% (1,099) 14.7% (214)
Less than High School 24.9% (1,511) 3.1% (45)
Bachelor's Degree and Higher 14.2% (861) 16.8% (244)

Education Levels Comparison: Wappingers falls vs Milford

  • A higher percentage of residents in Wappingers falls have no formal schooling at 0.9% compared to 0.3% in Milford.
  • A higher percentage of residents in Wappingers falls hold a high school diploma at 18.1% compared to 14.7% in Milford.
  • More residents in Wappingers falls have less than a high school education at 24.9% compared to 3.1% in Milford.
  • In Milford, a larger share of residents have a bachelor's degree or higher at 16.8% compared to 14.2% in Wappingers falls.

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.