Demographics details for Flower mound, TX vs Philadelphia, PA

Population Overview

Compare main population characteristics in Flower mound, TX vs Philadelphia, PA.

Data Flower mound Philadelphia
Population 78,486 1,567,258
Median Age 42.6 years 34.8 years
Median Income $154,471 $57,537
Married Families 51.0% 26.0%
Poverty Level 4% 25%
Unemployment Rate 3.7 4.7

Population Comparison: Flower mound vs Philadelphia

  • The population in Philadelphia is higher at 1,567,258, compared to 78,486 in Flower mound.
  • Residents in Flower mound have a higher median age of 42.6 years compared to 34.8 years in Philadelphia.
  • Flower mound has a higher median income of $154,471 compared to $57,537 in Philadelphia.
  • A higher percentage of married families is found in Flower mound at 51.0% compared to 26.0% in Philadelphia.
  • The poverty level is higher in Philadelphia at 25%, compared to 4% in Flower mound.
  • Philadelphia has a higher unemployment rate at 4.7% compared to 3.7% in Flower mound.

Demographics

Demographics Flower mound vs Philadelphia provide insight into the diversity of the communities to compare.

Demographic Flower mound Philadelphia
Black 3 41
White 66 29
Asian 13 8
Hispanic 11 16
Two or More Races 7 6
American Indian Data is updating Data is updating

Demographics Comparison: Flower mound vs Philadelphia

  • In Philadelphia, the percentage of Black residents is higher at 41% compared to 3% in Flower mound.
  • Flower mound has a higher percentage of White residents at 66% compared to 29% in Philadelphia.
  • The Asian population is larger in Flower mound at 13% compared to 8% in Philadelphia.
  • Philadelphia has a higher percentage of Hispanic residents at 16%, compared to 11% in Flower mound.
  • More residents identify as two or more races in Flower mound at 7% compared to 6% in Philadelphia.
  • The percentage of American Indian residents is the same in both Flower mound and Philadelphia at 0%.

Health Statistics

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

Health Metric Flower mound Philadelphia
Mental Health Not Good 13.3% 18.0%
Physical Health Not Good 7.7% 12.8%
Depression 21.1% 21.0%
Smoking 9.5% 18.9%
Binge Drinking 19.7% 16.9%
Obesity 28.5% 31.3%
Disability Percentage 6.0% 17.0%

Health Statistics Comparison: Flower mound vs Philadelphia

  • In Philadelphia, a higher percentage report poor mental health at 18.0% compared to 13.3% in Flower mound.
  • Depression is more prevalent in Flower mound at 21.1% compared to 21.0% in Philadelphia.
  • Philadelphia has a higher smoking rate at 18.9% compared to 9.5% in Flower mound.
  • Binge drinking is more common in Flower mound at 19.7% compared to 16.9% in Philadelphia.
  • Philadelphia has higher obesity rates at 31.3% compared to 28.5% in Flower mound.
  • There is a higher percentage of disabled individuals in Philadelphia at 17.0% compared to 6.0% in Flower mound.

Education Levels

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

Education Level Flower mound Philadelphia
No Schooling 0.7% (519) 1.5% (23,668)
High School Diploma 6.2% (4,886) 18.3% (287,402)
Less than High School 2.7% (2,090) 13.3% (207,719)
Bachelor's Degree and Higher 42.3% (33,161) 23.4% (366,310)

Education Levels Comparison: Flower mound vs Philadelphia

  • In Philadelphia, a larger percentage of residents lack formal schooling at 1.5% compared to 0.7% in Flower mound.
  • In Philadelphia, the rate of residents with high school diplomas is higher at 18.3% compared to 6.2% in Flower mound.
  • The percentage of residents with less than a high school education is higher in Philadelphia at 13.3%, compared to 2.7% in Flower mound.
  • A higher percentage of residents in Flower mound hold a bachelor's degree or higher at 42.3% 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.