Demographics details for Long beach, WA vs Marysville, IN

Population Overview

Compare main population characteristics in Long beach, WA vs Marysville, IN.

Data Long beach Marysville
Population 1,754 303
Median Age 51.3 years 38.0 years
Median Income $47,188 $60,000
Married Families 41.0% 60.0%
Poverty Level 10% 10%
Unemployment Rate 5.5 3.5

Population Comparison: Long beach vs Marysville

  • In Long beach, the population is higher at 1,754, compared to 303 in Marysville.
  • Residents in Long beach have a higher median age of 51.3 years compared to 38.0 years in Marysville.
  • Marysville has a higher median income of $60,000, compared to $47,188 in Long beach.
  • In Marysville, the percentage of married families is higher at 60.0%, compared to 41.0% in Long beach.
  • The poverty level is identical in both Long beach and Marysville at 10%.
  • The unemployment rate in Long beach is higher at 5.5%, compared to 3.5% in Marysville.

Demographics

Demographics Long beach vs Marysville provide insight into the diversity of the communities to compare.

Demographic Long beach Marysville
Black Data is updating Data is updating
White 86 95
Asian 1 1
Hispanic 7 2
Two or More Races 5 2
American Indian 1 Data is updating

Demographics Comparison: Long beach vs Marysville

  • The percentage of Black residents is the same in both Long beach and Marysville at 0%.
  • The percentage of White residents is higher in Marysville at 95% compared to 86% in Long beach.
  • Both Long beach and Marysville have the same percentage of Asian residents at 1%.
  • The Hispanic community is larger in Long beach at 7% compared to 2% in Marysville.
  • More residents identify as two or more races in Long beach at 5% compared to 2% in Marysville.
  • A greater percentage of American Indian residents live in Long beach at 1% compared to 0% in Marysville.

Health Statistics

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

Health Metric Long beach Marysville
Mental Health Not Good 20.3% Data is updating%
Physical Health Not Good 14.8% Data is updating%
Depression 28.9% Data is updating%
Smoking 20.1% Data is updating%
Binge Drinking 16.2% Data is updating%
Obesity 38.5% Data is updating%
Disability Percentage 28.0% Data is updating%

Health Statistics Comparison: Long beach vs Marysville

  • More residents in Long beach report poor mental health at 20.3% compared to 0.0% in Marysville.
  • Depression is more prevalent in Long beach at 28.9% compared to 0.0% in Marysville.
  • Smoking is more prevalent in Long beach at 20.1% compared to 0.0% in Marysville.
  • Binge drinking is more common in Long beach at 16.2% compared to 0.0% in Marysville.
  • Obesity rates are higher in Long beach at 38.5% compared to 0.0% in Marysville.
  • Disability percentages are higher in Long beach at 28.0% compared to 0.0% in Marysville.

Education Levels

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

Education Level Long beach Marysville
No Schooling 0.0% (Data is updating) 0.0% (Data is updating)
High School Diploma 19.6% (343) 0.0% (Data is updating)
Less than High School 13.6% (238) 0.0% (Data is updating)
Bachelor's Degree and Higher 14.3% (250) 0.0% (Data is updating)

Education Levels Comparison: Long beach vs Marysville

  • The percentage of residents with no formal schooling is the same in both Long beach and Marysville at 0.0%.
  • A higher percentage of residents in Long beach hold a high school diploma at 19.6% compared to 0.0% in Marysville.
  • More residents in Long beach have less than a high school education at 13.6% compared to 0.0% in Marysville.
  • A higher percentage of residents in Long beach hold a bachelor's degree or higher at 14.3% compared to 0.0% in Marysville.

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.