Demographics details for Mobile, AL vs Maple falls, WA

Population Overview

Compare main population characteristics in Mobile, AL vs Maple falls, WA.

Data Mobile Maple falls
Population 183,289 231
Median Age 37.6 years 61.4 years
Median Income $48,524 $32,226
Married Families 30.0% 49.0%
Poverty Level 21% Data is updating
Unemployment Rate 3.9 Data is updating

Population Comparison: Mobile vs Maple falls

  • In Mobile, the population is higher at 183,289, compared to 231 in Maple falls.
  • The median age in Maple falls is higher at 61.4 years, compared to 37.6 years in Mobile.
  • Mobile has a higher median income of $48,524 compared to $32,226 in Maple falls.
  • In Maple falls, the percentage of married families is higher at 49.0%, compared to 30.0% in Mobile.
  • Mobile has a higher poverty level at 21% compared to 0% in Maple falls.
  • The unemployment rate in Mobile is higher at 3.9%, compared to 0.0% in Maple falls.

Demographics

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

Demographic Mobile Maple falls
Black 54 Data is updating
White 38 94
Asian 2 Data is updating
Hispanic 3 6
Two or More Races 3 Data is updating
American Indian Data is updating Data is updating

Demographics Comparison: Mobile vs Maple falls

  • A higher percentage of Black residents are in Mobile at 54% compared to 0% in Maple falls.
  • The percentage of White residents is higher in Maple falls at 94% compared to 38% in Mobile.
  • The Asian population is larger in Mobile at 2% compared to 0% in Maple falls.
  • Maple falls has a higher percentage of Hispanic residents at 6%, compared to 3% in Mobile.
  • More residents identify as two or more races in Mobile at 3% compared to 0% in Maple falls.
  • The percentage of American Indian residents is the same in both Mobile and Maple falls at 0%.

Health Statistics

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

Health Metric Mobile Maple falls
Mental Health Not Good 19.3% 19.5%
Physical Health Not Good 13.5% 13.3%
Depression 21.7% 31.8%
Smoking 18.6% 19.6%
Binge Drinking 15.1% 17.9%
Obesity 42.0% 28.1%
Disability Percentage 13.0% 68.0%

Health Statistics Comparison: Mobile vs Maple falls

  • In Maple falls, a higher percentage report poor mental health at 19.5% compared to 19.3% in Mobile.
  • Higher depression rates are seen in Maple falls at 31.8% versus 21.7% in Mobile.
  • Maple falls has a higher smoking rate at 19.6% compared to 18.6% in Mobile.
  • More residents engage in binge drinking in Maple falls at 17.9% compared to 15.1% in Mobile.
  • Obesity rates are higher in Mobile at 42.0% compared to 28.1% in Maple falls.
  • There is a higher percentage of disabled individuals in Maple falls at 68.0% compared to 13.0% in Mobile.

Education Levels

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

Education Level Mobile Maple falls
No Schooling 0.7% (1,270) 0.0% (Data is updating)
High School Diploma 18.4% (33,785) 40.7% (94)
Less than High School 9.4% (17,177) 0.0% (Data is updating)
Bachelor's Degree and Higher 20.9% (38,346) 8.7% (20)

Education Levels Comparison: Mobile vs Maple falls

  • A higher percentage of residents in Mobile have no formal schooling at 0.7% compared to 0.0% in Maple falls.
  • In Maple falls, the rate of residents with high school diplomas is higher at 40.7% compared to 18.4% in Mobile.
  • More residents in Mobile have less than a high school education at 9.4% compared to 0.0% in Maple falls.
  • A higher percentage of residents in Mobile hold a bachelor's degree or higher at 20.9% 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.