Demographics details for White plains, NY vs Wiggins, MS

Population Overview

Compare main population characteristics in White plains, NY vs Wiggins, MS.

Data White plains Wiggins
Population 59,316 4,266
Median Age 41.4 years 38.7 years
Median Income $109,551 $44,250
Married Families 40.0% 24.0%
Poverty Level 6% 14%
Unemployment Rate 3.2 4.7

Population Comparison: White plains vs Wiggins

  • In White plains, the population is higher at 59,316, compared to 4,266 in Wiggins.
  • Residents in White plains have a higher median age of 41.4 years compared to 38.7 years in Wiggins.
  • White plains has a higher median income of $109,551 compared to $44,250 in Wiggins.
  • A higher percentage of married families is found in White plains at 40.0% compared to 24.0% in Wiggins.
  • The poverty level is higher in Wiggins at 14%, compared to 6% in White plains.
  • Wiggins has a higher unemployment rate at 4.7% compared to 3.2% in White plains.

Demographics

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

Demographic White plains Wiggins
Black 13 37
White 39 59
Asian 8 Data is updating
Hispanic 31 2
Two or More Races 9 2
American Indian Data is updating Data is updating

Demographics Comparison: White plains vs Wiggins

  • In Wiggins, the percentage of Black residents is higher at 37% compared to 13% in White plains.
  • The percentage of White residents is higher in Wiggins at 59% compared to 39% in White plains.
  • The Asian population is larger in White plains at 8% compared to 0% in Wiggins.
  • The Hispanic community is larger in White plains at 31% compared to 2% in Wiggins.
  • More residents identify as two or more races in White plains at 9% compared to 2% in Wiggins.
  • The percentage of American Indian residents is the same in both White plains and Wiggins at 0%.

Health Statistics

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

Health Metric White plains Wiggins
Mental Health Not Good 13.1% 18.5%
Physical Health Not Good 9.1% 14.5%
Depression 17.7% 23.5%
Smoking 11.7% 24.3%
Binge Drinking 15.9% 13.6%
Obesity 28.4% 43.2%
Disability Percentage 10.0% 31.0%

Health Statistics Comparison: White plains vs Wiggins

  • In Wiggins, a higher percentage report poor mental health at 18.5% compared to 13.1% in White plains.
  • Higher depression rates are seen in Wiggins at 23.5% versus 17.7% in White plains.
  • Wiggins has a higher smoking rate at 24.3% compared to 11.7% in White plains.
  • Binge drinking is more common in White plains at 15.9% compared to 13.6% in Wiggins.
  • Wiggins has higher obesity rates at 43.2% compared to 28.4% in White plains.
  • There is a higher percentage of disabled individuals in Wiggins at 31.0% 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 Wiggins
No Schooling 1.0% (566) 1.8% (78)
High School Diploma 11.6% (6,853) 16.7% (713)
Less than High School 14.7% (8,744) 20.0% (852)
Bachelor's Degree and Higher 39.0% (23,145) 8.4% (357)

Education Levels Comparison: White plains vs Wiggins

  • In Wiggins, a larger percentage of residents lack formal schooling at 1.8% compared to 1.0% in White plains.
  • In Wiggins, the rate of residents with high school diplomas is higher at 16.7% compared to 11.6% in White plains.
  • The percentage of residents with less than a high school education is higher in Wiggins at 20.0%, compared to 14.7% in White plains.
  • A higher percentage of residents in White plains hold a bachelor's degree or higher at 39.0% compared to 8.4% in Wiggins.

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.