Demographics details for Mountain view, CA vs New york mills, NY

Population Overview

Compare main population characteristics in Mountain view, CA vs New york mills, NY.

Data Mountain view New york mills
Population 81,059 3,211
Median Age 35.5 years 49.6 years
Median Income $174,156 $55,000
Married Families 43.0% 35.0%
Poverty Level 6% 10%
Unemployment Rate 3.2 3.5

Population Comparison: Mountain view vs New york mills

  • In Mountain view, the population is higher at 81,059, compared to 3,211 in New york mills.
  • The median age in New york mills is higher at 49.6 years, compared to 35.5 years in Mountain view.
  • Mountain view has a higher median income of $174,156 compared to $55,000 in New york mills.
  • A higher percentage of married families is found in Mountain view at 43.0% compared to 35.0% in New york mills.
  • The poverty level is higher in New york mills at 10%, compared to 6% in Mountain view.
  • New york mills has a higher unemployment rate at 3.5% compared to 3.2% in Mountain view.

Demographics

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

Demographic Mountain view New york mills
Black 2 Data is updating
White 32 97
Asian 34 1
Hispanic 19 2
Two or More Races 12 Data is updating
American Indian 1 Data is updating

Demographics Comparison: Mountain view vs New york mills

  • A higher percentage of Black residents are in Mountain view at 2% compared to 0% in New york mills.
  • The percentage of White residents is higher in New york mills at 97% compared to 32% in Mountain view.
  • The Asian population is larger in Mountain view at 34% compared to 1% in New york mills.
  • The Hispanic community is larger in Mountain view at 19% compared to 2% in New york mills.
  • More residents identify as two or more races in Mountain view at 12% compared to 0% in New york mills.
  • A greater percentage of American Indian residents live in Mountain view 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 Mountain view New york mills
Mental Health Not Good 11.7% 15.9%
Physical Health Not Good 7.1% 10.1%
Depression 14.7% 25.2%
Smoking 6.5% 19.5%
Binge Drinking 14.9% 19.9%
Obesity 19.1% 33.7%
Disability Percentage 6.0% 17.0%

Health Statistics Comparison: Mountain view vs New york mills

  • In New york mills, a higher percentage report poor mental health at 15.9% compared to 11.7% in Mountain view.
  • Higher depression rates are seen in New york mills at 25.2% versus 14.7% in Mountain view.
  • New york mills has a higher smoking rate at 19.5% compared to 6.5% in Mountain view.
  • More residents engage in binge drinking in New york mills at 19.9% compared to 14.9% in Mountain view.
  • New york mills has higher obesity rates at 33.7% compared to 19.1% in Mountain view.
  • There is a higher percentage of disabled individuals in New york mills at 17.0% compared to 6.0% in Mountain view.

Education Levels

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

Education Level Mountain view New york mills
No Schooling 1.0% (826) 0.2% (6)
High School Diploma 4.9% (3,963) 9.5% (306)
Less than High School 7.1% (5,739) 5.4% (172)
Bachelor's Degree and Higher 54.5% (44,174) 31.2% (1,003)

Education Levels Comparison: Mountain view vs New york mills

  • A higher percentage of residents in Mountain view have no formal schooling at 1.0% compared to 0.2% in New york mills.
  • In New york mills, the rate of residents with high school diplomas is higher at 9.5% compared to 4.9% in Mountain view.
  • More residents in Mountain view have less than a high school education at 7.1% compared to 5.4% in New york mills.
  • A higher percentage of residents in Mountain view hold a bachelor's degree or higher at 54.5% compared to 31.2% in New york mills.

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.