Demographics details for Indian trail, NC vs Crum lynne, PA

Population Overview

Compare main population characteristics in Indian trail, NC vs Crum lynne, PA.

Data Indian trail Crum lynne
Population 41,724 735
Median Age 36.1 years 38.0 years
Median Income $95,101 $60,000
Married Families 45.0% 50.0%
Poverty Level 6% 12%
Unemployment Rate 3.8 4.0

Population Comparison: Indian trail vs Crum lynne

  • In Indian trail, the population is higher at 41,724, compared to 735 in Crum lynne.
  • The median age in Crum lynne is higher at 38.0 years, compared to 36.1 years in Indian trail.
  • Indian trail has a higher median income of $95,101 compared to $60,000 in Crum lynne.
  • In Crum lynne, the percentage of married families is higher at 50.0%, compared to 45.0% in Indian trail.
  • The poverty level is higher in Crum lynne at 12%, compared to 6% in Indian trail.
  • Crum lynne has a higher unemployment rate at 4.0% compared to 3.8% in Indian trail.

Demographics

Demographics Indian trail vs Crum lynne provide insight into the diversity of the communities to compare.

Demographic Indian trail Crum lynne
Black 9 5
White 71 90
Asian 3 2
Hispanic 11 1
Two or More Races 6 2
American Indian Data is updating Data is updating

Demographics Comparison: Indian trail vs Crum lynne

  • A higher percentage of Black residents are in Indian trail at 9% compared to 5% in Crum lynne.
  • The percentage of White residents is higher in Crum lynne at 90% compared to 71% in Indian trail.
  • The Asian population is larger in Indian trail at 3% compared to 2% in Crum lynne.
  • The Hispanic community is larger in Indian trail at 11% compared to 1% in Crum lynne.
  • More residents identify as two or more races in Indian trail at 6% compared to 2% in Crum lynne.
  • The percentage of American Indian residents is the same in both Indian trail and Crum lynne at 0%.

Health Statistics

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

Health Metric Indian trail Crum lynne
Mental Health Not Good 14.6% Data is updating%
Physical Health Not Good 9.3% Data is updating%
Depression 22.0% Data is updating%
Smoking 13.5% Data is updating%
Binge Drinking 18.5% Data is updating%
Obesity 31.2% Data is updating%
Disability Percentage 7.0% Data is updating%

Health Statistics Comparison: Indian trail vs Crum lynne

  • More residents in Indian trail report poor mental health at 14.6% compared to 0.0% in Crum lynne.
  • Depression is more prevalent in Indian trail at 22.0% compared to 0.0% in Crum lynne.
  • Smoking is more prevalent in Indian trail at 13.5% compared to 0.0% in Crum lynne.
  • Binge drinking is more common in Indian trail at 18.5% compared to 0.0% in Crum lynne.
  • Obesity rates are higher in Indian trail at 31.2% compared to 0.0% in Crum lynne.
  • Disability percentages are higher in Indian trail at 7.0% compared to 0.0% in Crum lynne.

Education Levels

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

Education Level Indian trail Crum lynne
No Schooling 0.7% (287) 0.0% (Data is updating)
High School Diploma 12.8% (5,353) 0.0% (Data is updating)
Less than High School 6.6% (2,761) 0.0% (Data is updating)
Bachelor's Degree and Higher 24.4% (10,201) 0.0% (Data is updating)

Education Levels Comparison: Indian trail vs Crum lynne

  • A higher percentage of residents in Indian trail have no formal schooling at 0.7% compared to 0.0% in Crum lynne.
  • A higher percentage of residents in Indian trail hold a high school diploma at 12.8% compared to 0.0% in Crum lynne.
  • More residents in Indian trail have less than a high school education at 6.6% compared to 0.0% in Crum lynne.
  • A higher percentage of residents in Indian trail hold a bachelor's degree or higher at 24.4% compared to 0.0% in Crum lynne.

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.