Demographics details for Webster, WI vs Spring valley, NY

Population Overview

Compare main population characteristics in Webster, WI vs Spring valley, NY.

Data Webster Spring valley
Population 820 32,884
Median Age 36.0 years 27.5 years
Median Income $60,000 $50,749
Married Families 50.0% 32.0%
Poverty Level 10% 10%
Unemployment Rate 4.0 3.2

Population Comparison: Webster vs Spring valley

  • The population in Spring valley is higher at 32,884, compared to 820 in Webster.
  • Residents in Webster have a higher median age of 36.0 years compared to 27.5 years in Spring valley.
  • Webster has a higher median income of $60,000 compared to $50,749 in Spring valley.
  • A higher percentage of married families is found in Webster at 50.0% compared to 32.0% in Spring valley.
  • The poverty level is identical in both Webster and Spring valley at 10%.
  • The unemployment rate in Webster is higher at 4.0%, compared to 3.2% in Spring valley.

Demographics

Demographics Webster vs Spring valley provide insight into the diversity of the communities to compare.

Demographic Webster Spring valley
Black Data is updating 32
White 95 31
Asian 1 3
Hispanic 2 29
Two or More Races 1 5
American Indian 1 Data is updating

Demographics Comparison: Webster vs Spring valley

  • In Spring valley, the percentage of Black residents is higher at 32% compared to 0% in Webster.
  • Webster has a higher percentage of White residents at 95% compared to 31% in Spring valley.
  • In Spring valley, the Asian population stands at 3%, greater than 1% in Webster.
  • Spring valley has a higher percentage of Hispanic residents at 29%, compared to 2% in Webster.
  • The percentage of residents identifying as two or more races is higher in Spring valley at 5%, compared to 1% in Webster.
  • A greater percentage of American Indian residents live in Webster at 1% compared to 0% in Spring valley.

Health Statistics

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

Health Metric Webster Spring valley
Mental Health Not Good Data is updating% 16.7%
Physical Health Not Good Data is updating% 13.9%
Depression Data is updating% 18.7%
Smoking Data is updating% 22.3%
Binge Drinking Data is updating% 12.6%
Obesity Data is updating% 34.3%
Disability Percentage Data is updating% 8.0%

Health Statistics Comparison: Webster vs Spring valley

  • In Spring valley, a higher percentage report poor mental health at 16.7% compared to 0.0% in Webster.
  • Higher depression rates are seen in Spring valley at 18.7% versus 0.0% in Webster.
  • Spring valley has a higher smoking rate at 22.3% compared to 0.0% in Webster.
  • More residents engage in binge drinking in Spring valley at 12.6% compared to 0.0% in Webster.
  • Spring valley has higher obesity rates at 34.3% compared to 0.0% in Webster.
  • There is a higher percentage of disabled individuals in Spring valley at 8.0% compared to 0.0% in Webster.

Education Levels

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

Education Level Webster Spring valley
No Schooling 0.0% (Data is updating) 3.7% (1,224)
High School Diploma 0.0% (Data is updating) 13.1% (4,315)
Less than High School 0.0% (Data is updating) 20.5% (6,742)
Bachelor's Degree and Higher 0.0% (Data is updating) 10.0% (3,273)

Education Levels Comparison: Webster vs Spring valley

  • In Spring valley, a larger percentage of residents lack formal schooling at 3.7% compared to 0.0% in Webster.
  • In Spring valley, the rate of residents with high school diplomas is higher at 13.1% compared to 0.0% in Webster.
  • The percentage of residents with less than a high school education is higher in Spring valley at 20.5%, compared to 0.0% in Webster.
  • In Spring valley, a larger share of residents have a bachelor's degree or higher at 10.0% compared to 0.0% in Webster.

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.