Demographics details for Schenectady, NY vs Oakland park, FL

Population Overview

Compare main population characteristics in Schenectady, NY vs Oakland park, FL.

Data Schenectady Oakland park
Population 68,809 43,824
Median Age 36.0 years 39.1 years
Median Income $54,650 $64,989
Married Families 28.0% 30.0%
Poverty Level 13% 14%
Unemployment Rate 4.6 3.1

Population Comparison: Schenectady vs Oakland park

  • In Schenectady, the population is higher at 68,809, compared to 43,824 in Oakland park.
  • The median age in Oakland park is higher at 39.1 years, compared to 36.0 years in Schenectady.
  • Oakland park has a higher median income of $64,989, compared to $54,650 in Schenectady.
  • In Oakland park, the percentage of married families is higher at 30.0%, compared to 28.0% in Schenectady.
  • The poverty level is higher in Oakland park at 14%, compared to 13% in Schenectady.
  • The unemployment rate in Schenectady is higher at 4.6%, compared to 3.1% in Oakland park.

Demographics

Demographics Schenectady vs Oakland park provide insight into the diversity of the communities to compare.

Demographic Schenectady Oakland park
Black 20 29
White 47 20
Asian 7 2
Hispanic 12 32
Two or More Races 13 17
American Indian 1 Data is updating

Demographics Comparison: Schenectady vs Oakland park

  • In Oakland park, the percentage of Black residents is higher at 29% compared to 20% in Schenectady.
  • Schenectady has a higher percentage of White residents at 47% compared to 20% in Oakland park.
  • The Asian population is larger in Schenectady at 7% compared to 2% in Oakland park.
  • Oakland park has a higher percentage of Hispanic residents at 32%, compared to 12% in Schenectady.
  • The percentage of residents identifying as two or more races is higher in Oakland park at 17%, compared to 13% in Schenectady.
  • A greater percentage of American Indian residents live in Schenectady at 1% compared to 0% in Oakland park.

Health Statistics

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

Health Metric Schenectady Oakland park
Mental Health Not Good 17.4% 16.3%
Physical Health Not Good 12.5% 12.2%
Depression 24.0% 17.8%
Smoking 22.7% 20.1%
Binge Drinking 16.2% 15.0%
Obesity 39.6% 31.1%
Disability Percentage 15.0% 11.0%

Health Statistics Comparison: Schenectady vs Oakland park

  • More residents in Schenectady report poor mental health at 17.4% compared to 16.3% in Oakland park.
  • Depression is more prevalent in Schenectady at 24.0% compared to 17.8% in Oakland park.
  • Smoking is more prevalent in Schenectady at 22.7% compared to 20.1% in Oakland park.
  • Binge drinking is more common in Schenectady at 16.2% compared to 15.0% in Oakland park.
  • Obesity rates are higher in Schenectady at 39.6% compared to 31.1% in Oakland park.
  • Disability percentages are higher in Schenectady at 15.0% compared to 11.0% in Oakland park.

Education Levels

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

Education Level Schenectady Oakland park
No Schooling 1.7% (1,194) 1.4% (596)
High School Diploma 15.3% (10,540) 19.8% (8,695)
Less than High School 14.7% (10,146) 16.2% (7,092)
Bachelor's Degree and Higher 15.0% (10,303) 20.7% (9,073)

Education Levels Comparison: Schenectady vs Oakland park

  • A higher percentage of residents in Schenectady have no formal schooling at 1.7% compared to 1.4% in Oakland park.
  • In Oakland park, the rate of residents with high school diplomas is higher at 19.8% compared to 15.3% in Schenectady.
  • The percentage of residents with less than a high school education is higher in Oakland park at 16.2%, compared to 14.7% in Schenectady.
  • In Oakland park, a larger share of residents have a bachelor's degree or higher at 20.7% compared to 15.0% in Schenectady.

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.