Demographics details for Waikoloa, HI vs White plains, NY

Population Overview

Compare main population characteristics in Waikoloa, HI vs White plains, NY.

Data Waikoloa White plains
Population 7,418 59,316
Median Age 38.1 years 41.4 years
Median Income $103,135 $109,551
Married Families 48.0% 40.0%
Poverty Level 8% 6%
Unemployment Rate 3.2 3.2

Population Comparison: Waikoloa vs White plains

  • The population in White plains is higher at 59,316, compared to 7,418 in Waikoloa.
  • The median age in White plains is higher at 41.4 years, compared to 38.1 years in Waikoloa.
  • White plains has a higher median income of $109,551, compared to $103,135 in Waikoloa.
  • A higher percentage of married families is found in Waikoloa at 48.0% compared to 40.0% in White plains.
  • Waikoloa has a higher poverty level at 8% compared to 6% in White plains.
  • The unemployment rate is the same in both Waikoloa and White plains at 3.2%.

Demographics

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

Demographic Waikoloa White plains
Black 2 13
White 40 39
Asian 17 8
Hispanic 14 31
Two or More Races 23 9
American Indian 4 Data is updating

Demographics Comparison: Waikoloa vs White plains

  • In White plains, the percentage of Black residents is higher at 13% compared to 2% in Waikoloa.
  • Waikoloa has a higher percentage of White residents at 40% compared to 39% in White plains.
  • The Asian population is larger in Waikoloa at 17% compared to 8% in White plains.
  • White plains has a higher percentage of Hispanic residents at 31%, compared to 14% in Waikoloa.
  • More residents identify as two or more races in Waikoloa at 23% compared to 9% in White plains.
  • A greater percentage of American Indian residents live in Waikoloa at 4% compared to 0% in White plains.

Health Statistics

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

Health Metric Waikoloa White plains
Mental Health Not Good 13.7% 13.1%
Physical Health Not Good 8.1% 9.1%
Depression 16.7% 17.7%
Smoking 10.5% 11.7%
Binge Drinking 22.6% 15.9%
Obesity 24.7% 28.4%
Disability Percentage 8.0% 10.0%

Health Statistics Comparison: Waikoloa vs White plains

  • More residents in Waikoloa report poor mental health at 13.7% compared to 13.1% in White plains.
  • Higher depression rates are seen in White plains at 17.7% versus 16.7% in Waikoloa.
  • White plains has a higher smoking rate at 11.7% compared to 10.5% in Waikoloa.
  • Binge drinking is more common in Waikoloa at 22.6% compared to 15.9% in White plains.
  • White plains has higher obesity rates at 28.4% compared to 24.7% in Waikoloa.
  • There is a higher percentage of disabled individuals in White plains at 10.0% compared to 8.0% in Waikoloa.

Education Levels

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

Education Level Waikoloa White plains
No Schooling 0.0% (Data is updating) 1.0% (566)
High School Diploma 13.6% (1,009) 11.6% (6,853)
Less than High School 7.6% (564) 14.7% (8,744)
Bachelor's Degree and Higher 21.2% (1,576) 39.0% (23,145)

Education Levels Comparison: Waikoloa vs White plains

  • In White plains, a larger percentage of residents lack formal schooling at 1.0% compared to 0.0% in Waikoloa.
  • A higher percentage of residents in Waikoloa hold a high school diploma at 13.6% compared to 11.6% in White plains.
  • The percentage of residents with less than a high school education is higher in White plains at 14.7%, compared to 7.6% in Waikoloa.
  • In White plains, a larger share of residents have a bachelor's degree or higher at 39.0% compared to 21.2% in Waikoloa.

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.