Demographics details for White plains, NY vs Jefferson, WI

Population Overview

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

Data White plains Jefferson
Population 59,316 7,649
Median Age 41.4 years 44.8 years
Median Income $109,551 $69,844
Married Families 40.0% 37.0%
Poverty Level 6% 5%
Unemployment Rate 3.2 3.5

Population Comparison: White plains vs Jefferson

  • In White plains, the population is higher at 59,316, compared to 7,649 in Jefferson.
  • The median age in Jefferson is higher at 44.8 years, compared to 41.4 years in White plains.
  • White plains has a higher median income of $109,551 compared to $69,844 in Jefferson.
  • A higher percentage of married families is found in White plains at 40.0% compared to 37.0% in Jefferson.
  • White plains has a higher poverty level at 6% compared to 5% in Jefferson.
  • Jefferson has a higher unemployment rate at 3.5% compared to 3.2% in White plains.

Demographics

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

Demographic White plains Jefferson
Black 13 2
White 39 79
Asian 8 Data is updating
Hispanic 31 15
Two or More Races 9 4
American Indian Data is updating Data is updating

Demographics Comparison: White plains vs Jefferson

  • A higher percentage of Black residents are in White plains at 13% compared to 2% in Jefferson.
  • The percentage of White residents is higher in Jefferson at 79% compared to 39% in White plains.
  • The Asian population is larger in White plains at 8% compared to 0% in Jefferson.
  • The Hispanic community is larger in White plains at 31% compared to 15% in Jefferson.
  • More residents identify as two or more races in White plains at 9% compared to 4% in Jefferson.
  • The percentage of American Indian residents is the same in both White plains and Jefferson at 0%.

Health Statistics

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

Health Metric White plains Jefferson
Mental Health Not Good 13.1% 14.7%
Physical Health Not Good 9.1% 9.8%
Depression 17.7% 22.9%
Smoking 11.7% 15.3%
Binge Drinking 15.9% 24.2%
Obesity 28.4% 33.7%
Disability Percentage 10.0% 13.0%

Health Statistics Comparison: White plains vs Jefferson

  • In Jefferson, a higher percentage report poor mental health at 14.7% compared to 13.1% in White plains.
  • Higher depression rates are seen in Jefferson at 22.9% versus 17.7% in White plains.
  • Jefferson has a higher smoking rate at 15.3% compared to 11.7% in White plains.
  • More residents engage in binge drinking in Jefferson at 24.2% compared to 15.9% in White plains.
  • Jefferson has higher obesity rates at 33.7% compared to 28.4% in White plains.
  • There is a higher percentage of disabled individuals in Jefferson at 13.0% 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 Jefferson
No Schooling 1.0% (566) 2.8% (215)
High School Diploma 11.6% (6,853) 24.4% (1,865)
Less than High School 14.7% (8,744) 13.3% (1,019)
Bachelor's Degree and Higher 39.0% (23,145) 16.4% (1,254)

Education Levels Comparison: White plains vs Jefferson

  • In Jefferson, a larger percentage of residents lack formal schooling at 2.8% compared to 1.0% in White plains.
  • In Jefferson, the rate of residents with high school diplomas is higher at 24.4% compared to 11.6% in White plains.
  • More residents in White plains have less than a high school education at 14.7% compared to 13.3% in Jefferson.
  • A higher percentage of residents in White plains hold a bachelor's degree or higher at 39.0% compared to 16.4% in Jefferson.

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.