Demographics details for Montgomery, NY vs Falling waters, WV

Population Overview

Compare main population characteristics in Montgomery, NY vs Falling waters, WV.

Data Montgomery Falling waters
Population 49,623 2,150
Median Age 40.6 years 32.2 years
Median Income $58,033 $84,038
Married Families 34.0% 29.0%
Poverty Level 10% 9%
Unemployment Rate 4.2 3.5

Population Comparison: Montgomery vs Falling waters

  • In Montgomery, the population is higher at 49,623, compared to 2,150 in Falling waters.
  • Residents in Montgomery have a higher median age of 40.6 years compared to 32.2 years in Falling waters.
  • Falling waters has a higher median income of $84,038, compared to $58,033 in Montgomery.
  • A higher percentage of married families is found in Montgomery at 34.0% compared to 29.0% in Falling waters.
  • Montgomery has a higher poverty level at 10% compared to 9% in Falling waters.
  • The unemployment rate in Montgomery is higher at 4.2%, compared to 3.5% in Falling waters.

Demographics

Demographics Montgomery vs Falling waters provide insight into the diversity of the communities to compare.

Demographic Montgomery Falling waters
Black 3 6
White 74 92
Asian 1 Data is updating
Hispanic 15 Data is updating
Two or More Races 6 2
American Indian 1 Data is updating

Demographics Comparison: Montgomery vs Falling waters

  • In Falling waters, the percentage of Black residents is higher at 6% compared to 3% in Montgomery.
  • The percentage of White residents is higher in Falling waters at 92% compared to 74% in Montgomery.
  • The Asian population is larger in Montgomery at 1% compared to 0% in Falling waters.
  • The Hispanic community is larger in Montgomery at 15% compared to 0% in Falling waters.
  • More residents identify as two or more races in Montgomery at 6% compared to 2% in Falling waters.
  • A greater percentage of American Indian residents live in Montgomery at 1% compared to 0% in Falling waters.

Health Statistics

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

Health Metric Montgomery Falling waters
Mental Health Not Good 16.7% 18.5%
Physical Health Not Good 12.3% 11.9%
Depression 23.2% 25.7%
Smoking 20.4% 18.7%
Binge Drinking 17.8% 15.2%
Obesity 35.8% 37.6%
Disability Percentage 16.0% 24.0%

Health Statistics Comparison: Montgomery vs Falling waters

  • In Falling waters, a higher percentage report poor mental health at 18.5% compared to 16.7% in Montgomery.
  • Higher depression rates are seen in Falling waters at 25.7% versus 23.2% in Montgomery.
  • Smoking is more prevalent in Montgomery at 20.4% compared to 18.7% in Falling waters.
  • Binge drinking is more common in Montgomery at 17.8% compared to 15.2% in Falling waters.
  • Falling waters has higher obesity rates at 37.6% compared to 35.8% in Montgomery.
  • There is a higher percentage of disabled individuals in Falling waters at 24.0% compared to 16.0% in Montgomery.

Education Levels

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

Education Level Montgomery Falling waters
No Schooling 1.1% (540) 0.0% (Data is updating)
High School Diploma 20.6% (10,235) 22.4% (482)
Less than High School 14.9% (7,375) 4.7% (102)
Bachelor's Degree and Higher 13.7% (6,785) 11.0% (237)

Education Levels Comparison: Montgomery vs Falling waters

  • A higher percentage of residents in Montgomery have no formal schooling at 1.1% compared to 0.0% in Falling waters.
  • In Falling waters, the rate of residents with high school diplomas is higher at 22.4% compared to 20.6% in Montgomery.
  • More residents in Montgomery have less than a high school education at 14.9% compared to 4.7% in Falling waters.
  • A higher percentage of residents in Montgomery hold a bachelor's degree or higher at 13.7% compared to 11.0% in Falling waters.

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.