Demographics details for Montour falls, NY vs Mountain view, CA

Population Overview

Compare main population characteristics in Montour falls, NY vs Mountain view, CA.

Data Montour falls Mountain view
Population 1,583 81,059
Median Age 44.8 years 35.5 years
Median Income $33,977 $174,156
Married Families 39.0% 43.0%
Poverty Level 10% 6%
Unemployment Rate 5.2 3.2

Population Comparison: Montour falls vs Mountain view

  • The population in Mountain view is higher at 81,059, compared to 1,583 in Montour falls.
  • Residents in Montour falls have a higher median age of 44.8 years compared to 35.5 years in Mountain view.
  • Mountain view has a higher median income of $174,156, compared to $33,977 in Montour falls.
  • In Mountain view, the percentage of married families is higher at 43.0%, compared to 39.0% in Montour falls.
  • Montour falls has a higher poverty level at 10% compared to 6% in Mountain view.
  • The unemployment rate in Montour falls is higher at 5.2%, compared to 3.2% in Mountain view.

Demographics

Demographics Montour falls vs Mountain view provide insight into the diversity of the communities to compare.

Demographic Montour falls Mountain view
Black 2 2
White 92 32
Asian Data is updating 34
Hispanic 1 19
Two or More Races 4 12
American Indian 1 1

Demographics Comparison: Montour falls vs Mountain view

  • The percentage of Black residents is the same in both Montour falls and Mountain view at 2%.
  • Montour falls has a higher percentage of White residents at 92% compared to 32% in Mountain view.
  • In Mountain view, the Asian population stands at 34%, greater than 0% in Montour falls.
  • Mountain view has a higher percentage of Hispanic residents at 19%, compared to 1% in Montour falls.
  • The percentage of residents identifying as two or more races is higher in Mountain view at 12%, compared to 4% in Montour falls.
  • The percentage of American Indian residents is the same in both Montour falls and Mountain view at 1%.

Health Statistics

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

Health Metric Montour falls Mountain view
Mental Health Not Good 17.3% 11.7%
Physical Health Not Good 11.3% 7.1%
Depression 25.1% 14.7%
Smoking 21.1% 6.5%
Binge Drinking 19.5% 14.9%
Obesity 35.2% 19.1%
Disability Percentage 26.0% 6.0%

Health Statistics Comparison: Montour falls vs Mountain view

  • More residents in Montour falls report poor mental health at 17.3% compared to 11.7% in Mountain view.
  • Depression is more prevalent in Montour falls at 25.1% compared to 14.7% in Mountain view.
  • Smoking is more prevalent in Montour falls at 21.1% compared to 6.5% in Mountain view.
  • Binge drinking is more common in Montour falls at 19.5% compared to 14.9% in Mountain view.
  • Obesity rates are higher in Montour falls at 35.2% compared to 19.1% in Mountain view.
  • Disability percentages are higher in Montour falls at 26.0% 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 Montour falls Mountain view
No Schooling 0.0% (Data is updating) 1.0% (826)
High School Diploma 25.2% (399) 4.9% (3,963)
Less than High School 14.5% (230) 7.1% (5,739)
Bachelor's Degree and Higher 15.5% (245) 54.5% (44,174)

Education Levels Comparison: Montour falls vs Mountain view

  • In Mountain view, a larger percentage of residents lack formal schooling at 1.0% compared to 0.0% in Montour falls.
  • A higher percentage of residents in Montour falls hold a high school diploma at 25.2% compared to 4.9% in Mountain view.
  • More residents in Montour falls have less than a high school education at 14.5% compared to 7.1% in Mountain view.
  • In Mountain view, a larger share of residents have a bachelor's degree or higher at 54.5% compared to 15.5% in Montour 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.