Demographics details for Tucson, AZ vs Maple falls, WA

Population Overview

Compare main population characteristics in Tucson, AZ vs Maple falls, WA.

Data Tucson Maple falls
Population 546,574 231
Median Age 33.9 years 61.4 years
Median Income $52,049 $32,226
Married Families 30.0% 49.0%
Poverty Level 13% Data is updating
Unemployment Rate 4.1 Data is updating

Population Comparison: Tucson vs Maple falls

  • In Tucson, the population is higher at 546,574, compared to 231 in Maple falls.
  • The median age in Maple falls is higher at 61.4 years, compared to 33.9 years in Tucson.
  • Tucson has a higher median income of $52,049 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 Tucson.
  • Tucson has a higher poverty level at 13% compared to 0% in Maple falls.
  • The unemployment rate in Tucson is higher at 4.1%, compared to 0.0% in Maple falls.

Demographics

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

Demographic Tucson Maple falls
Black 5 Data is updating
White 29 94
Asian 3 Data is updating
Hispanic 44 6
Two or More Races 16 Data is updating
American Indian 3 Data is updating

Demographics Comparison: Tucson vs Maple falls

  • A higher percentage of Black residents are in Tucson at 5% compared to 0% in Maple falls.
  • The percentage of White residents is higher in Maple falls at 94% compared to 29% in Tucson.
  • The Asian population is larger in Tucson at 3% compared to 0% in Maple falls.
  • The Hispanic community is larger in Tucson at 44% compared to 6% in Maple falls.
  • More residents identify as two or more races in Tucson at 16% compared to 0% in Maple falls.
  • A greater percentage of American Indian residents live in Tucson at 3% compared to 0% in Maple falls.

Health Statistics

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

Health Metric Tucson Maple falls
Mental Health Not Good 18.6% 19.5%
Physical Health Not Good 13.1% 13.3%
Depression 23.6% 31.8%
Smoking 17.8% 19.6%
Binge Drinking 16.5% 17.9%
Obesity 34.9% 28.1%
Disability Percentage 14.0% 68.0%

Health Statistics Comparison: Tucson vs Maple falls

  • In Maple falls, a higher percentage report poor mental health at 19.5% compared to 18.6% in Tucson.
  • Higher depression rates are seen in Maple falls at 31.8% versus 23.6% in Tucson.
  • Maple falls has a higher smoking rate at 19.6% compared to 17.8% in Tucson.
  • More residents engage in binge drinking in Maple falls at 17.9% compared to 16.5% in Tucson.
  • Obesity rates are higher in Tucson at 34.9% compared to 28.1% in Maple falls.
  • There is a higher percentage of disabled individuals in Maple falls at 68.0% compared to 14.0% in Tucson.

Education Levels

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

Education Level Tucson Maple falls
No Schooling 1.1% (5,757) 0.0% (Data is updating)
High School Diploma 11.4% (62,581) 40.7% (94)
Less than High School 16.0% (87,637) 0.0% (Data is updating)
Bachelor's Degree and Higher 18.6% (101,769) 8.7% (20)

Education Levels Comparison: Tucson vs Maple falls

  • A higher percentage of residents in Tucson have no formal schooling at 1.1% 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 11.4% in Tucson.
  • More residents in Tucson have less than a high school education at 16.0% compared to 0.0% in Maple falls.
  • A higher percentage of residents in Tucson hold a bachelor's degree or higher at 18.6% 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.