Demographics details for Schenectady, NY vs Crum lynne, PA

Population Overview

Compare main population characteristics in Schenectady, NY vs Crum lynne, PA.

Data Schenectady Crum lynne
Population 68,809 735
Median Age 36.0 years 38.0 years
Median Income $54,650 $60,000
Married Families 28.0% 50.0%
Poverty Level 13% 12%
Unemployment Rate 4.6 4.0

Population Comparison: Schenectady vs Crum lynne

  • In Schenectady, the population is higher at 68,809, compared to 735 in Crum lynne.
  • The median age in Crum lynne is higher at 38.0 years, compared to 36.0 years in Schenectady.
  • Crum lynne has a higher median income of $60,000, compared to $54,650 in Schenectady.
  • In Crum lynne, the percentage of married families is higher at 50.0%, compared to 28.0% in Schenectady.
  • Schenectady has a higher poverty level at 13% compared to 12% in Crum lynne.
  • The unemployment rate in Schenectady is higher at 4.6%, compared to 4.0% in Crum lynne.

Demographics

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

Demographic Schenectady Crum lynne
Black 20 5
White 47 90
Asian 7 2
Hispanic 12 1
Two or More Races 13 2
American Indian 1 Data is updating

Demographics Comparison: Schenectady vs Crum lynne

  • A higher percentage of Black residents are in Schenectady at 20% compared to 5% in Crum lynne.
  • The percentage of White residents is higher in Crum lynne at 90% compared to 47% in Schenectady.
  • The Asian population is larger in Schenectady at 7% compared to 2% in Crum lynne.
  • The Hispanic community is larger in Schenectady at 12% compared to 1% in Crum lynne.
  • More residents identify as two or more races in Schenectady at 13% compared to 2% in Crum lynne.
  • A greater percentage of American Indian residents live in Schenectady at 1% compared to 0% in Crum lynne.

Health Statistics

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

Health Metric Schenectady Crum lynne
Mental Health Not Good 17.4% Data is updating%
Physical Health Not Good 12.5% Data is updating%
Depression 24.0% Data is updating%
Smoking 22.7% Data is updating%
Binge Drinking 16.2% Data is updating%
Obesity 39.6% Data is updating%
Disability Percentage 15.0% Data is updating%

Health Statistics Comparison: Schenectady vs Crum lynne

  • More residents in Schenectady report poor mental health at 17.4% compared to 0.0% in Crum lynne.
  • Depression is more prevalent in Schenectady at 24.0% compared to 0.0% in Crum lynne.
  • Smoking is more prevalent in Schenectady at 22.7% compared to 0.0% in Crum lynne.
  • Binge drinking is more common in Schenectady at 16.2% compared to 0.0% in Crum lynne.
  • Obesity rates are higher in Schenectady at 39.6% compared to 0.0% in Crum lynne.
  • Disability percentages are higher in Schenectady at 15.0% 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 Schenectady Crum lynne
No Schooling 1.7% (1,194) 0.0% (Data is updating)
High School Diploma 15.3% (10,540) 0.0% (Data is updating)
Less than High School 14.7% (10,146) 0.0% (Data is updating)
Bachelor's Degree and Higher 15.0% (10,303) 0.0% (Data is updating)

Education Levels Comparison: Schenectady vs Crum lynne

  • A higher percentage of residents in Schenectady have no formal schooling at 1.7% compared to 0.0% in Crum lynne.
  • A higher percentage of residents in Schenectady hold a high school diploma at 15.3% compared to 0.0% in Crum lynne.
  • More residents in Schenectady have less than a high school education at 14.7% compared to 0.0% in Crum lynne.
  • A higher percentage of residents in Schenectady hold a bachelor's degree or higher at 15.0% 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.