Demographics details for Maple falls, WA vs Okeechobee, FL

Population Overview

Compare main population characteristics in Maple falls, WA vs Okeechobee, FL.

Data Maple falls Okeechobee
Population 231 40,412
Median Age 61.4 years 40.8 years
Median Income $32,226 $50,476
Married Families 49.0% 38.0%
Poverty Level Data is updating 16%
Unemployment Rate Data is updating 3.7

Population Comparison: Maple falls vs Okeechobee

  • The population in Okeechobee is higher at 40,412, compared to 231 in Maple falls.
  • Residents in Maple falls have a higher median age of 61.4 years compared to 40.8 years in Okeechobee.
  • Okeechobee has a higher median income of $50,476, compared to $32,226 in Maple falls.
  • A higher percentage of married families is found in Maple falls at 49.0% compared to 38.0% in Okeechobee.
  • The poverty level is higher in Okeechobee at 16%, compared to 0% in Maple falls.
  • Okeechobee has a higher unemployment rate at 3.7% compared to 0.0% in Maple falls.

Demographics

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

Demographic Maple falls Okeechobee
Black Data is updating 8
White 94 58
Asian Data is updating 1
Hispanic 6 26
Two or More Races Data is updating 7
American Indian Data is updating Data is updating

Demographics Comparison: Maple falls vs Okeechobee

  • In Okeechobee, the percentage of Black residents is higher at 8% compared to 0% in Maple falls.
  • Maple falls has a higher percentage of White residents at 94% compared to 58% in Okeechobee.
  • In Okeechobee, the Asian population stands at 1%, greater than 0% in Maple falls.
  • Okeechobee has a higher percentage of Hispanic residents at 26%, compared to 6% in Maple falls.
  • The percentage of residents identifying as two or more races is higher in Okeechobee at 7%, compared to 0% in Maple falls.
  • The percentage of American Indian residents is the same in both Maple falls and Okeechobee at 0%.

Health Statistics

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

Health Metric Maple falls Okeechobee
Mental Health Not Good 19.5% 17.3%
Physical Health Not Good 13.3% 13.1%
Depression 31.8% 20.1%
Smoking 19.6% 23.7%
Binge Drinking 17.9% 15.4%
Obesity 28.1% 33.9%
Disability Percentage 68.0% 15.0%

Health Statistics Comparison: Maple falls vs Okeechobee

  • More residents in Maple falls report poor mental health at 19.5% compared to 17.3% in Okeechobee.
  • Depression is more prevalent in Maple falls at 31.8% compared to 20.1% in Okeechobee.
  • Okeechobee has a higher smoking rate at 23.7% compared to 19.6% in Maple falls.
  • Binge drinking is more common in Maple falls at 17.9% compared to 15.4% in Okeechobee.
  • Okeechobee has higher obesity rates at 33.9% compared to 28.1% in Maple falls.
  • Disability percentages are higher in Maple falls at 68.0% compared to 15.0% in Okeechobee.

Education Levels

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

Education Level Maple falls Okeechobee
No Schooling 0.0% (Data is updating) 1.9% (751)
High School Diploma 40.7% (94) 18.6% (7,520)
Less than High School 0.0% (Data is updating) 26.7% (10,783)
Bachelor's Degree and Higher 8.7% (20) 11.8% (4,773)

Education Levels Comparison: Maple falls vs Okeechobee

  • In Okeechobee, a larger percentage of residents lack formal schooling at 1.9% 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 18.6% in Okeechobee.
  • The percentage of residents with less than a high school education is higher in Okeechobee at 26.7%, compared to 0.0% in Maple falls.
  • In Okeechobee, a larger share of residents have a bachelor's degree or higher at 11.8% compared to 8.7% in Maple falls.

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.