Demographics details for Montour falls, NY vs Pangburn, AR

Population Overview

Compare main population characteristics in Montour falls, NY vs Pangburn, AR.

Data Montour falls Pangburn
Population 1,583 503
Median Age 44.8 years 40.4 years
Median Income $33,977 $29,024
Married Families 39.0% 42.0%
Poverty Level 10% 18%
Unemployment Rate 5.2 4.5

Population Comparison: Montour falls vs Pangburn

  • In Montour falls, the population is higher at 1,583, compared to 503 in Pangburn.
  • Residents in Montour falls have a higher median age of 44.8 years compared to 40.4 years in Pangburn.
  • Montour falls has a higher median income of $33,977 compared to $29,024 in Pangburn.
  • In Pangburn, the percentage of married families is higher at 42.0%, compared to 39.0% in Montour falls.
  • The poverty level is higher in Pangburn at 18%, compared to 10% in Montour falls.
  • The unemployment rate in Montour falls is higher at 5.2%, compared to 4.5% in Pangburn.

Demographics

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

Demographic Montour falls Pangburn
Black 2 Data is updating
White 92 94
Asian Data is updating Data is updating
Hispanic 1 Data is updating
Two or More Races 4 6
American Indian 1 Data is updating

Demographics Comparison: Montour falls vs Pangburn

  • A higher percentage of Black residents are in Montour falls at 2% compared to 0% in Pangburn.
  • The percentage of White residents is higher in Pangburn at 94% compared to 92% in Montour falls.
  • Both Montour falls and Pangburn have the same percentage of Asian residents at 0%.
  • The Hispanic community is larger in Montour falls at 1% compared to 0% in Pangburn.
  • The percentage of residents identifying as two or more races is higher in Pangburn at 6%, compared to 4% in Montour falls.
  • A greater percentage of American Indian residents live in Montour falls at 1% compared to 0% in Pangburn.

Health Statistics

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

Health Metric Montour falls Pangburn
Mental Health Not Good 17.3% 19.9%
Physical Health Not Good 11.3% 14.2%
Depression 25.1% 27.4%
Smoking 21.1% 24.3%
Binge Drinking 19.5% 15.1%
Obesity 35.2% 36.5%
Disability Percentage 26.0% 28.0%

Health Statistics Comparison: Montour falls vs Pangburn

  • In Pangburn, a higher percentage report poor mental health at 19.9% compared to 17.3% in Montour falls.
  • Higher depression rates are seen in Pangburn at 27.4% versus 25.1% in Montour falls.
  • Pangburn has a higher smoking rate at 24.3% compared to 21.1% in Montour falls.
  • Binge drinking is more common in Montour falls at 19.5% compared to 15.1% in Pangburn.
  • Pangburn has higher obesity rates at 36.5% compared to 35.2% in Montour falls.
  • There is a higher percentage of disabled individuals in Pangburn at 28.0% compared to 26.0% in Montour falls.

Education Levels

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

Education Level Montour falls Pangburn
No Schooling 0.0% (Data is updating) 0.4% (2)
High School Diploma 25.2% (399) 35.8% (180)
Less than High School 14.5% (230) 12.1% (61)
Bachelor's Degree and Higher 15.5% (245) 8.0% (40)

Education Levels Comparison: Montour falls vs Pangburn

  • In Pangburn, a larger percentage of residents lack formal schooling at 0.4% compared to 0.0% in Montour falls.
  • In Pangburn, the rate of residents with high school diplomas is higher at 35.8% compared to 25.2% in Montour falls.
  • More residents in Montour falls have less than a high school education at 14.5% compared to 12.1% in Pangburn.
  • A higher percentage of residents in Montour falls hold a bachelor's degree or higher at 15.5% compared to 8.0% in Pangburn.

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.