Demographics details for Albert lea, MN vs Schenectady, NY

Population Overview

Compare main population characteristics in Albert lea, MN vs Schenectady, NY.

Data Albert lea Schenectady
Population 18,396 68,809
Median Age 44.2 years 36.0 years
Median Income $56,347 $54,650
Married Families 35.0% 28.0%
Poverty Level 10% 13%
Unemployment Rate 4.0 4.6

Population Comparison: Albert lea vs Schenectady

  • The population in Schenectady is higher at 68,809, compared to 18,396 in Albert lea.
  • Residents in Albert lea have a higher median age of 44.2 years compared to 36.0 years in Schenectady.
  • Albert lea has a higher median income of $56,347 compared to $54,650 in Schenectady.
  • A higher percentage of married families is found in Albert lea at 35.0% compared to 28.0% in Schenectady.
  • The poverty level is higher in Schenectady at 13%, compared to 10% in Albert lea.
  • Schenectady has a higher unemployment rate at 4.6% compared to 4.0% in Albert lea.

Demographics

Demographics Albert lea vs Schenectady provide insight into the diversity of the communities to compare.

Demographic Albert lea Schenectady
Black 2 20
White 72 47
Asian 3 7
Hispanic 15 12
Two or More Races 8 13
American Indian Data is updating 1

Demographics Comparison: Albert lea vs Schenectady

  • In Schenectady, the percentage of Black residents is higher at 20% compared to 2% in Albert lea.
  • Albert lea has a higher percentage of White residents at 72% compared to 47% in Schenectady.
  • In Schenectady, the Asian population stands at 7%, greater than 3% in Albert lea.
  • The Hispanic community is larger in Albert lea at 15% compared to 12% in Schenectady.
  • The percentage of residents identifying as two or more races is higher in Schenectady at 13%, compared to 8% in Albert lea.
  • In Schenectady, the percentage of American Indian residents is higher at 1%, compared to 0% in Albert lea.

Health Statistics

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

Health Metric Albert lea Schenectady
Mental Health Not Good 16.6% 17.4%
Physical Health Not Good 11.3% 12.5%
Depression 24.2% 24.0%
Smoking 22.1% 22.7%
Binge Drinking 18.3% 16.2%
Obesity 38.0% 39.6%
Disability Percentage 13.0% 15.0%

Health Statistics Comparison: Albert lea vs Schenectady

  • In Schenectady, a higher percentage report poor mental health at 17.4% compared to 16.6% in Albert lea.
  • Depression is more prevalent in Albert lea at 24.2% compared to 24.0% in Schenectady.
  • Schenectady has a higher smoking rate at 22.7% compared to 22.1% in Albert lea.
  • Binge drinking is more common in Albert lea at 18.3% compared to 16.2% in Schenectady.
  • Schenectady has higher obesity rates at 39.6% compared to 38.0% in Albert lea.
  • There is a higher percentage of disabled individuals in Schenectady at 15.0% compared to 13.0% in Albert lea.

Education Levels

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

Education Level Albert lea Schenectady
No Schooling 2.0% (370) 1.7% (1,194)
High School Diploma 19.7% (3,624) 15.3% (10,540)
Less than High School 20.0% (3,680) 14.7% (10,146)
Bachelor's Degree and Higher 11.3% (2,086) 15.0% (10,303)

Education Levels Comparison: Albert lea vs Schenectady

  • A higher percentage of residents in Albert lea have no formal schooling at 2.0% compared to 1.7% in Schenectady.
  • A higher percentage of residents in Albert lea hold a high school diploma at 19.7% compared to 15.3% in Schenectady.
  • More residents in Albert lea have less than a high school education at 20.0% compared to 14.7% in Schenectady.
  • In Schenectady, a larger share of residents have a bachelor's degree or higher at 15.0% compared to 11.3% in Albert lea.

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.