Demographics details for Upper darby, PA vs Mountain pine, AR

Population Overview

Compare main population characteristics in Upper darby, PA vs Mountain pine, AR.

Data Upper darby Mountain pine
Population 85,217 577
Median Age 35.7 years 44.2 years
Median Income $67,579 $28,542
Married Families 34.0% 28.0%
Poverty Level 9% 20%
Unemployment Rate 5.2 4.5

Population Comparison: Upper darby vs Mountain pine

  • In Upper darby, the population is higher at 85,217, compared to 577 in Mountain pine.
  • The median age in Mountain pine is higher at 44.2 years, compared to 35.7 years in Upper darby.
  • Upper darby has a higher median income of $67,579 compared to $28,542 in Mountain pine.
  • A higher percentage of married families is found in Upper darby at 34.0% compared to 28.0% in Mountain pine.
  • The poverty level is higher in Mountain pine at 20%, compared to 9% in Upper darby.
  • The unemployment rate in Upper darby is higher at 5.2%, compared to 4.5% in Mountain pine.

Demographics

Demographics Upper darby vs Mountain pine provide insight into the diversity of the communities to compare.

Demographic Upper darby Mountain pine
Black 34 8
White 39 85
Asian 12 Data is updating
Hispanic 9 2
Two or More Races 6 5
American Indian Data is updating Data is updating

Demographics Comparison: Upper darby vs Mountain pine

  • A higher percentage of Black residents are in Upper darby at 34% compared to 8% in Mountain pine.
  • The percentage of White residents is higher in Mountain pine at 85% compared to 39% in Upper darby.
  • The Asian population is larger in Upper darby at 12% compared to 0% in Mountain pine.
  • The Hispanic community is larger in Upper darby at 9% compared to 2% in Mountain pine.
  • More residents identify as two or more races in Upper darby at 6% compared to 5% in Mountain pine.
  • The percentage of American Indian residents is the same in both Upper darby and Mountain pine at 0%.

Health Statistics

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

Health Metric Upper darby Mountain pine
Mental Health Not Good Data is updating% 20.8%
Physical Health Not Good Data is updating% 14.8%
Depression Data is updating% 26.8%
Smoking Data is updating% 24.8%
Binge Drinking Data is updating% 14.8%
Obesity Data is updating% 39.5%
Disability Percentage 12.0% 23.0%

Health Statistics Comparison: Upper darby vs Mountain pine

  • In Mountain pine, a higher percentage report poor mental health at 20.8% compared to 0.0% in Upper darby.
  • Higher depression rates are seen in Mountain pine at 26.8% versus 0.0% in Upper darby.
  • Mountain pine has a higher smoking rate at 24.8% compared to 0.0% in Upper darby.
  • More residents engage in binge drinking in Mountain pine at 14.8% compared to 0.0% in Upper darby.
  • Mountain pine has higher obesity rates at 39.5% compared to 0.0% in Upper darby.
  • There is a higher percentage of disabled individuals in Mountain pine at 23.0% compared to 12.0% in Upper darby.

Education Levels

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

Education Level Upper darby Mountain pine
No Schooling 1.4% (1,162) 0.0% (Data is updating)
High School Diploma 17.6% (14,973) 30.8% (178)
Less than High School 10.3% (8,806) 9.4% (54)
Bachelor's Degree and Higher 22.2% (18,927) 2.9% (17)

Education Levels Comparison: Upper darby vs Mountain pine

  • A higher percentage of residents in Upper darby have no formal schooling at 1.4% compared to 0.0% in Mountain pine.
  • In Mountain pine, the rate of residents with high school diplomas is higher at 30.8% compared to 17.6% in Upper darby.
  • More residents in Upper darby have less than a high school education at 10.3% compared to 9.4% in Mountain pine.
  • A higher percentage of residents in Upper darby hold a bachelor's degree or higher at 22.2% compared to 2.9% in Mountain pine.

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.