Demographics details for Philadelphia, PA vs Mountain view, CA

Population Overview

Compare main population characteristics in Philadelphia, PA vs Mountain view, CA.

Data Philadelphia Mountain view
Population 1,567,258 81,059
Median Age 34.8 years 35.5 years
Median Income $57,537 $174,156
Married Families 26.0% 43.0%
Poverty Level 25% 6%
Unemployment Rate 4.7 3.2

Population Comparison: Philadelphia vs Mountain view

  • In Philadelphia, the population is higher at 1,567,258, compared to 81,059 in Mountain view.
  • The median age in Mountain view is higher at 35.5 years, compared to 34.8 years in Philadelphia.
  • Mountain view has a higher median income of $174,156, compared to $57,537 in Philadelphia.
  • In Mountain view, the percentage of married families is higher at 43.0%, compared to 26.0% in Philadelphia.
  • Philadelphia has a higher poverty level at 25% compared to 6% in Mountain view.
  • The unemployment rate in Philadelphia is higher at 4.7%, compared to 3.2% in Mountain view.

Demographics

Demographics Philadelphia vs Mountain view provide insight into the diversity of the communities to compare.

Demographic Philadelphia Mountain view
Black 41 2
White 29 32
Asian 8 34
Hispanic 16 19
Two or More Races 6 12
American Indian Data is updating 1

Demographics Comparison: Philadelphia vs Mountain view

  • A higher percentage of Black residents are in Philadelphia at 41% compared to 2% in Mountain view.
  • The percentage of White residents is higher in Mountain view at 32% compared to 29% in Philadelphia.
  • In Mountain view, the Asian population stands at 34%, greater than 8% in Philadelphia.
  • Mountain view has a higher percentage of Hispanic residents at 19%, compared to 16% in Philadelphia.
  • The percentage of residents identifying as two or more races is higher in Mountain view at 12%, compared to 6% in Philadelphia.
  • In Mountain view, the percentage of American Indian residents is higher at 1%, compared to 0% in Philadelphia.

Health Statistics

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

Health Metric Philadelphia Mountain view
Mental Health Not Good 18.0% 11.7%
Physical Health Not Good 12.8% 7.1%
Depression 21.0% 14.7%
Smoking 18.9% 6.5%
Binge Drinking 16.9% 14.9%
Obesity 31.3% 19.1%
Disability Percentage 17.0% 6.0%

Health Statistics Comparison: Philadelphia vs Mountain view

  • More residents in Philadelphia report poor mental health at 18.0% compared to 11.7% in Mountain view.
  • Depression is more prevalent in Philadelphia at 21.0% compared to 14.7% in Mountain view.
  • Smoking is more prevalent in Philadelphia at 18.9% compared to 6.5% in Mountain view.
  • Binge drinking is more common in Philadelphia at 16.9% compared to 14.9% in Mountain view.
  • Obesity rates are higher in Philadelphia at 31.3% compared to 19.1% in Mountain view.
  • Disability percentages are higher in Philadelphia at 17.0% compared to 6.0% in Mountain view.

Education Levels

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

Education Level Philadelphia Mountain view
No Schooling 1.5% (23,668) 1.0% (826)
High School Diploma 18.3% (287,402) 4.9% (3,963)
Less than High School 13.3% (207,719) 7.1% (5,739)
Bachelor's Degree and Higher 23.4% (366,310) 54.5% (44,174)

Education Levels Comparison: Philadelphia vs Mountain view

  • A higher percentage of residents in Philadelphia have no formal schooling at 1.5% compared to 1.0% in Mountain view.
  • A higher percentage of residents in Philadelphia hold a high school diploma at 18.3% compared to 4.9% in Mountain view.
  • More residents in Philadelphia have less than a high school education at 13.3% compared to 7.1% in Mountain view.
  • In Mountain view, a larger share of residents have a bachelor's degree or higher at 54.5% compared to 23.4% in Philadelphia.

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.