Demographics details for Saratoga springs, NY vs What cheer, IA

Population Overview

Compare main population characteristics in Saratoga springs, NY vs What cheer, IA.

Data Saratoga springs What cheer
Population 28,593 597
Median Age 41.8 years 34.8 years
Median Income $97,241 $45,500
Married Families 40.0% 45.0%
Poverty Level 6% 12%
Unemployment Rate 3.3 3.9

Population Comparison: Saratoga springs vs What cheer

  • In Saratoga springs, the population is higher at 28,593, compared to 597 in What cheer.
  • Residents in Saratoga springs have a higher median age of 41.8 years compared to 34.8 years in What cheer.
  • Saratoga springs has a higher median income of $97,241 compared to $45,500 in What cheer.
  • In What cheer, the percentage of married families is higher at 45.0%, compared to 40.0% in Saratoga springs.
  • The poverty level is higher in What cheer at 12%, compared to 6% in Saratoga springs.
  • What cheer has a higher unemployment rate at 3.9% compared to 3.3% in Saratoga springs.

Demographics

Demographics Saratoga springs vs What cheer provide insight into the diversity of the communities to compare.

Demographic Saratoga springs What cheer
Black 3 3
White 86 87
Asian 3 Data is updating
Hispanic 4 6
Two or More Races 4 4
American Indian Data is updating Data is updating

Demographics Comparison: Saratoga springs vs What cheer

  • The percentage of Black residents is the same in both Saratoga springs and What cheer at 3%.
  • The percentage of White residents is higher in What cheer at 87% compared to 86% in Saratoga springs.
  • The Asian population is larger in Saratoga springs at 3% compared to 0% in What cheer.
  • What cheer has a higher percentage of Hispanic residents at 6%, compared to 4% in Saratoga springs.
  • Both Saratoga springs and What cheer have the same percentage of residents identifying as two or more races at 4%.
  • The percentage of American Indian residents is the same in both Saratoga springs and What cheer at 0%.

Health Statistics

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

Health Metric Saratoga springs What cheer
Mental Health Not Good 13.4% 17.0%
Physical Health Not Good 8.2% 11.3%
Depression 20.8% 20.1%
Smoking 13.2% 21.2%
Binge Drinking 21.5% 21.0%
Obesity 28.4% 40.1%
Disability Percentage 11.0% 30.0%

Health Statistics Comparison: Saratoga springs vs What cheer

  • In What cheer, a higher percentage report poor mental health at 17.0% compared to 13.4% in Saratoga springs.
  • Depression is more prevalent in Saratoga springs at 20.8% compared to 20.1% in What cheer.
  • What cheer has a higher smoking rate at 21.2% compared to 13.2% in Saratoga springs.
  • Binge drinking is more common in Saratoga springs at 21.5% compared to 21.0% in What cheer.
  • What cheer has higher obesity rates at 40.1% compared to 28.4% in Saratoga springs.
  • There is a higher percentage of disabled individuals in What cheer at 30.0% compared to 11.0% in Saratoga springs.

Education Levels

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

Education Level Saratoga springs What cheer
No Schooling 0.7% (208) 1.5% (9)
High School Diploma 11.0% (3,147) 31.8% (190)
Less than High School 6.3% (1,801) 11.9% (71)
Bachelor's Degree and Higher 42.3% (12,109) 5.0% (30)

Education Levels Comparison: Saratoga springs vs What cheer

  • In What cheer, a larger percentage of residents lack formal schooling at 1.5% compared to 0.7% in Saratoga springs.
  • In What cheer, the rate of residents with high school diplomas is higher at 31.8% compared to 11.0% in Saratoga springs.
  • The percentage of residents with less than a high school education is higher in What cheer at 11.9%, compared to 6.3% in Saratoga springs.
  • A higher percentage of residents in Saratoga springs hold a bachelor's degree or higher at 42.3% compared to 5.0% in What cheer.

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.