Demographics details for Long beach, WA vs Philadelphia, PA

Population Overview

Compare main population characteristics in Long beach, WA vs Philadelphia, PA.

Data Long beach Philadelphia
Population 1,754 1,567,258
Median Age 51.3 years 34.8 years
Median Income $47,188 $57,537
Married Families 41.0% 26.0%
Poverty Level 10% 25%
Unemployment Rate 5.5 4.7

Population Comparison: Long beach vs Philadelphia

  • The population in Philadelphia is higher at 1,567,258, compared to 1,754 in Long beach.
  • Residents in Long beach have a higher median age of 51.3 years compared to 34.8 years in Philadelphia.
  • Philadelphia has a higher median income of $57,537, compared to $47,188 in Long beach.
  • A higher percentage of married families is found in Long beach at 41.0% compared to 26.0% in Philadelphia.
  • The poverty level is higher in Philadelphia at 25%, compared to 10% in Long beach.
  • The unemployment rate in Long beach is higher at 5.5%, compared to 4.7% in Philadelphia.

Demographics

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

Demographic Long beach Philadelphia
Black Data is updating 41
White 86 29
Asian 1 8
Hispanic 7 16
Two or More Races 5 6
American Indian 1 Data is updating

Demographics Comparison: Long beach vs Philadelphia

  • In Philadelphia, the percentage of Black residents is higher at 41% compared to 0% in Long beach.
  • Long beach has a higher percentage of White residents at 86% compared to 29% in Philadelphia.
  • In Philadelphia, the Asian population stands at 8%, greater than 1% in Long beach.
  • Philadelphia has a higher percentage of Hispanic residents at 16%, compared to 7% in Long beach.
  • The percentage of residents identifying as two or more races is higher in Philadelphia at 6%, compared to 5% in Long beach.
  • A greater percentage of American Indian residents live in Long beach at 1% compared to 0% in Philadelphia.

Health Statistics

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

Health Metric Long beach Philadelphia
Mental Health Not Good 20.3% 18.0%
Physical Health Not Good 14.8% 12.8%
Depression 28.9% 21.0%
Smoking 20.1% 18.9%
Binge Drinking 16.2% 16.9%
Obesity 38.5% 31.3%
Disability Percentage 28.0% 17.0%

Health Statistics Comparison: Long beach vs Philadelphia

  • More residents in Long beach report poor mental health at 20.3% compared to 18.0% in Philadelphia.
  • Depression is more prevalent in Long beach at 28.9% compared to 21.0% in Philadelphia.
  • Smoking is more prevalent in Long beach at 20.1% compared to 18.9% in Philadelphia.
  • More residents engage in binge drinking in Philadelphia at 16.9% compared to 16.2% in Long beach.
  • Obesity rates are higher in Long beach at 38.5% compared to 31.3% in Philadelphia.
  • Disability percentages are higher in Long beach at 28.0% compared to 17.0% in Philadelphia.

Education Levels

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

Education Level Long beach Philadelphia
No Schooling 0.0% (Data is updating) 1.5% (23,668)
High School Diploma 19.6% (343) 18.3% (287,402)
Less than High School 13.6% (238) 13.3% (207,719)
Bachelor's Degree and Higher 14.3% (250) 23.4% (366,310)

Education Levels Comparison: Long beach vs Philadelphia

  • In Philadelphia, a larger percentage of residents lack formal schooling at 1.5% compared to 0.0% in Long beach.
  • A higher percentage of residents in Long beach hold a high school diploma at 19.6% compared to 18.3% in Philadelphia.
  • More residents in Long beach have less than a high school education at 13.6% compared to 13.3% in Philadelphia.
  • In Philadelphia, a larger share of residents have a bachelor's degree or higher at 23.4% compared to 14.3% in Long beach.

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.