Demographics details for New york mills, NY vs Freeland, WA

Population Overview

Compare main population characteristics in New york mills, NY vs Freeland, WA.

Data New york mills Freeland
Population 3,211 1,894
Median Age 49.6 years 51.2 years
Median Income $55,000 $89,868
Married Families 35.0% 44.0%
Poverty Level 10% 5%
Unemployment Rate 3.5 5.1

Population Comparison: New york mills vs Freeland

  • In New york mills, the population is higher at 3,211, compared to 1,894 in Freeland.
  • The median age in Freeland is higher at 51.2 years, compared to 49.6 years in New york mills.
  • Freeland has a higher median income of $89,868, compared to $55,000 in New york mills.
  • In Freeland, the percentage of married families is higher at 44.0%, compared to 35.0% in New york mills.
  • New york mills has a higher poverty level at 10% compared to 5% in Freeland.
  • Freeland has a higher unemployment rate at 5.1% compared to 3.5% in New york mills.

Demographics

Demographics New york mills vs Freeland provide insight into the diversity of the communities to compare.

Demographic New york mills Freeland
Black Data is updating 3
White 97 86
Asian 1 1
Hispanic 2 3
Two or More Races Data is updating 6
American Indian Data is updating 1

Demographics Comparison: New york mills vs Freeland

  • In Freeland, the percentage of Black residents is higher at 3% compared to 0% in New york mills.
  • New york mills has a higher percentage of White residents at 97% compared to 86% in Freeland.
  • Both New york mills and Freeland have the same percentage of Asian residents at 1%.
  • Freeland has a higher percentage of Hispanic residents at 3%, compared to 2% in New york mills.
  • The percentage of residents identifying as two or more races is higher in Freeland at 6%, compared to 0% in New york mills.
  • In Freeland, the percentage of American Indian residents is higher at 1%, compared to 0% in New york mills.

Health Statistics

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

Health Metric New york mills Freeland
Mental Health Not Good 15.9% 15.8%
Physical Health Not Good 10.1% 9.2%
Depression 25.2% 25.5%
Smoking 19.5% 11.8%
Binge Drinking 19.9% 18.0%
Obesity 33.7% 29.6%
Disability Percentage 17.0% 19.0%

Health Statistics Comparison: New york mills vs Freeland

  • More residents in New york mills report poor mental health at 15.9% compared to 15.8% in Freeland.
  • Higher depression rates are seen in Freeland at 25.5% versus 25.2% in New york mills.
  • Smoking is more prevalent in New york mills at 19.5% compared to 11.8% in Freeland.
  • Binge drinking is more common in New york mills at 19.9% compared to 18.0% in Freeland.
  • Obesity rates are higher in New york mills at 33.7% compared to 29.6% in Freeland.
  • There is a higher percentage of disabled individuals in Freeland at 19.0% compared to 17.0% in New york mills.

Education Levels

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

Education Level New york mills Freeland
No Schooling 0.2% (6) 0.0% (Data is updating)
High School Diploma 9.5% (306) 8.1% (153)
Less than High School 5.4% (172) 8.7% (164)
Bachelor's Degree and Higher 31.2% (1,003) 28.9% (548)

Education Levels Comparison: New york mills vs Freeland

  • A higher percentage of residents in New york mills have no formal schooling at 0.2% compared to 0.0% in Freeland.
  • A higher percentage of residents in New york mills hold a high school diploma at 9.5% compared to 8.1% in Freeland.
  • The percentage of residents with less than a high school education is higher in Freeland at 8.7%, compared to 5.4% in New york mills.
  • A higher percentage of residents in New york mills hold a bachelor's degree or higher at 31.2% compared to 28.9% in Freeland.

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.