Demographics details for Maple falls, WA vs What cheer, IA

Population Overview

Compare main population characteristics in Maple falls, WA vs What cheer, IA.

Data Maple falls What cheer
Population 231 597
Median Age 61.4 years 34.8 years
Median Income $32,226 $45,500
Married Families 49.0% 45.0%
Poverty Level Data is updating 12%
Unemployment Rate Data is updating 3.9

Population Comparison: Maple falls vs What cheer

  • The population in What cheer is higher at 597, compared to 231 in Maple falls.
  • Residents in Maple falls have a higher median age of 61.4 years compared to 34.8 years in What cheer.
  • What cheer has a higher median income of $45,500, compared to $32,226 in Maple falls.
  • A higher percentage of married families is found in Maple falls at 49.0% compared to 45.0% in What cheer.
  • The poverty level is higher in What cheer at 12%, compared to 0% in Maple falls.
  • What cheer has a higher unemployment rate at 3.9% compared to 0.0% in Maple falls.

Demographics

Demographics Maple falls vs What cheer provide insight into the diversity of the communities to compare.

Demographic Maple falls What cheer
Black Data is updating 3
White 94 87
Asian Data is updating Data is updating
Hispanic 6 6
Two or More Races Data is updating 4
American Indian Data is updating Data is updating

Demographics Comparison: Maple falls vs What cheer

  • In What cheer, the percentage of Black residents is higher at 3% compared to 0% in Maple falls.
  • Maple falls has a higher percentage of White residents at 94% compared to 87% in What cheer.
  • Both Maple falls and What cheer have the same percentage of Asian residents at 0%.
  • The percentage of Hispanic residents is the same in both Maple falls and What cheer at 6%.
  • The percentage of residents identifying as two or more races is higher in What cheer at 4%, compared to 0% in Maple falls.
  • The percentage of American Indian residents is the same in both Maple falls and What cheer at 0%.

Health Statistics

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

Health Metric Maple falls What cheer
Mental Health Not Good 19.5% 17.0%
Physical Health Not Good 13.3% 11.3%
Depression 31.8% 20.1%
Smoking 19.6% 21.2%
Binge Drinking 17.9% 21.0%
Obesity 28.1% 40.1%
Disability Percentage 68.0% 30.0%

Health Statistics Comparison: Maple falls vs What cheer

  • More residents in Maple falls report poor mental health at 19.5% compared to 17.0% in What cheer.
  • Depression is more prevalent in Maple falls at 31.8% compared to 20.1% in What cheer.
  • What cheer has a higher smoking rate at 21.2% compared to 19.6% in Maple falls.
  • More residents engage in binge drinking in What cheer at 21.0% compared to 17.9% in Maple falls.
  • What cheer has higher obesity rates at 40.1% compared to 28.1% in Maple falls.
  • Disability percentages are higher in Maple falls at 68.0% compared to 30.0% in What cheer.

Education Levels

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

Education Level Maple falls What cheer
No Schooling 0.0% (Data is updating) 1.5% (9)
High School Diploma 40.7% (94) 31.8% (190)
Less than High School 0.0% (Data is updating) 11.9% (71)
Bachelor's Degree and Higher 8.7% (20) 5.0% (30)

Education Levels Comparison: Maple falls vs What cheer

  • In What cheer, a larger percentage of residents lack formal schooling at 1.5% compared to 0.0% in Maple falls.
  • A higher percentage of residents in Maple falls hold a high school diploma at 40.7% compared to 31.8% in What cheer.
  • The percentage of residents with less than a high school education is higher in What cheer at 11.9%, compared to 0.0% in Maple falls.
  • A higher percentage of residents in Maple falls hold a bachelor's degree or higher at 8.7% 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.