Demographics details for Kure beach, NC vs Maple valley, WA

Population Overview

Compare main population characteristics in Kure beach, NC vs Maple valley, WA.

Data Kure beach Maple valley
Population 2,174 28,220
Median Age 55.1 years 36.4 years
Median Income $97,269 $137,595
Married Families 70.0% 47.0%
Poverty Level 5% Data is updating
Unemployment Rate 3.5 4.7

Population Comparison: Kure beach vs Maple valley

  • The population in Maple valley is higher at 28,220, compared to 2,174 in Kure beach.
  • Residents in Kure beach have a higher median age of 55.1 years compared to 36.4 years in Maple valley.
  • Maple valley has a higher median income of $137,595, compared to $97,269 in Kure beach.
  • A higher percentage of married families is found in Kure beach at 70.0% compared to 47.0% in Maple valley.
  • Kure beach has a higher poverty level at 5% compared to 0% in Maple valley.
  • Maple valley has a higher unemployment rate at 4.7% compared to 3.5% in Kure beach.

Demographics

Demographics Kure beach vs Maple valley provide insight into the diversity of the communities to compare.

Demographic Kure beach Maple valley
Black Data is updating 2
White 95 74
Asian Data is updating 11
Hispanic 2 5
Two or More Races 3 8
American Indian Data is updating Data is updating

Demographics Comparison: Kure beach vs Maple valley

  • In Maple valley, the percentage of Black residents is higher at 2% compared to 0% in Kure beach.
  • Kure beach has a higher percentage of White residents at 95% compared to 74% in Maple valley.
  • In Maple valley, the Asian population stands at 11%, greater than 0% in Kure beach.
  • Maple valley has a higher percentage of Hispanic residents at 5%, compared to 2% in Kure beach.
  • The percentage of residents identifying as two or more races is higher in Maple valley at 8%, compared to 3% in Kure beach.
  • The percentage of American Indian residents is the same in both Kure beach and Maple valley at 0%.

Health Statistics

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

Health Metric Kure beach Maple valley
Mental Health Not Good 13.7% 15.9%
Physical Health Not Good 7.8% 8.6%
Depression 23.8% 25.8%
Smoking 10.9% 9.4%
Binge Drinking 21.7% 19.6%
Obesity 26.7% 24.3%
Disability Percentage 10.0% 7.0%

Health Statistics Comparison: Kure beach vs Maple valley

  • In Maple valley, a higher percentage report poor mental health at 15.9% compared to 13.7% in Kure beach.
  • Higher depression rates are seen in Maple valley at 25.8% versus 23.8% in Kure beach.
  • Smoking is more prevalent in Kure beach at 10.9% compared to 9.4% in Maple valley.
  • Binge drinking is more common in Kure beach at 21.7% compared to 19.6% in Maple valley.
  • Obesity rates are higher in Kure beach at 26.7% compared to 24.3% in Maple valley.
  • Disability percentages are higher in Kure beach at 10.0% compared to 7.0% in Maple valley.

Education Levels

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

Education Level Kure beach Maple valley
No Schooling 0.6% (13) 0.4% (103)
High School Diploma 17.5% (380) 10.2% (2,878)
Less than High School 4.8% (104) 3.1% (879)
Bachelor's Degree and Higher 43.2% (940) 28.5% (8,032)

Education Levels Comparison: Kure beach vs Maple valley

  • A higher percentage of residents in Kure beach have no formal schooling at 0.6% compared to 0.4% in Maple valley.
  • A higher percentage of residents in Kure beach hold a high school diploma at 17.5% compared to 10.2% in Maple valley.
  • More residents in Kure beach have less than a high school education at 4.8% compared to 3.1% in Maple valley.
  • A higher percentage of residents in Kure beach hold a bachelor's degree or higher at 43.2% compared to 28.5% in Maple valley.

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.