Demographics details for White plains, NY vs Prairie farm, WI

Population Overview

Compare main population characteristics in White plains, NY vs Prairie farm, WI.

Data White plains Prairie farm
Population 59,316 498
Median Age 41.4 years 47.9 years
Median Income $109,551 $55,192
Married Families 40.0% 45.0%
Poverty Level 6% 10%
Unemployment Rate 3.2 3.5

Population Comparison: White plains vs Prairie farm

  • In White plains, the population is higher at 59,316, compared to 498 in Prairie farm.
  • The median age in Prairie farm is higher at 47.9 years, compared to 41.4 years in White plains.
  • White plains has a higher median income of $109,551 compared to $55,192 in Prairie farm.
  • In Prairie farm, the percentage of married families is higher at 45.0%, compared to 40.0% in White plains.
  • The poverty level is higher in Prairie farm at 10%, compared to 6% in White plains.
  • Prairie farm has a higher unemployment rate at 3.5% compared to 3.2% in White plains.

Demographics

Demographics White plains vs Prairie farm provide insight into the diversity of the communities to compare.

Demographic White plains Prairie farm
Black 13 Data is updating
White 39 96
Asian 8 Data is updating
Hispanic 31 2
Two or More Races 9 1
American Indian Data is updating 1

Demographics Comparison: White plains vs Prairie farm

  • A higher percentage of Black residents are in White plains at 13% compared to 0% in Prairie farm.
  • The percentage of White residents is higher in Prairie farm at 96% compared to 39% in White plains.
  • The Asian population is larger in White plains at 8% compared to 0% in Prairie farm.
  • The Hispanic community is larger in White plains at 31% compared to 2% in Prairie farm.
  • More residents identify as two or more races in White plains at 9% compared to 1% in Prairie farm.
  • In Prairie farm, the percentage of American Indian residents is higher at 1%, compared to 0% in White plains.

Health Statistics

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

Health Metric White plains Prairie farm
Mental Health Not Good 13.1% 16.0%
Physical Health Not Good 9.1% 10.8%
Depression 17.7% 24.2%
Smoking 11.7% 18.3%
Binge Drinking 15.9% 24.1%
Obesity 28.4% 35.7%
Disability Percentage 10.0% 15.0%

Health Statistics Comparison: White plains vs Prairie farm

  • In Prairie farm, a higher percentage report poor mental health at 16.0% compared to 13.1% in White plains.
  • Higher depression rates are seen in Prairie farm at 24.2% versus 17.7% in White plains.
  • Prairie farm has a higher smoking rate at 18.3% compared to 11.7% in White plains.
  • More residents engage in binge drinking in Prairie farm at 24.1% compared to 15.9% in White plains.
  • Prairie farm has higher obesity rates at 35.7% compared to 28.4% in White plains.
  • There is a higher percentage of disabled individuals in Prairie farm at 15.0% compared to 10.0% in White plains.

Education Levels

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

Education Level White plains Prairie farm
No Schooling 1.0% (566) 0.2% (1)
High School Diploma 11.6% (6,853) 32.3% (161)
Less than High School 14.7% (8,744) 11.6% (58)
Bachelor's Degree and Higher 39.0% (23,145) 6.8% (34)

Education Levels Comparison: White plains vs Prairie farm

  • A higher percentage of residents in White plains have no formal schooling at 1.0% compared to 0.2% in Prairie farm.
  • In Prairie farm, the rate of residents with high school diplomas is higher at 32.3% compared to 11.6% in White plains.
  • More residents in White plains have less than a high school education at 14.7% compared to 11.6% in Prairie farm.
  • A higher percentage of residents in White plains hold a bachelor's degree or higher at 39.0% compared to 6.8% in Prairie farm.

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.