Demographics details for Little falls, MN vs White plains, NY

Population Overview

Compare main population characteristics in Little falls, MN vs White plains, NY.

Data Little falls White plains
Population 9,094 59,316
Median Age 40.8 years 41.4 years
Median Income $44,455 $109,551
Married Families 34.0% 40.0%
Poverty Level 11% 6%
Unemployment Rate 4.2 3.2

Population Comparison: Little falls vs White plains

  • The population in White plains is higher at 59,316, compared to 9,094 in Little falls.
  • The median age in White plains is higher at 41.4 years, compared to 40.8 years in Little falls.
  • White plains has a higher median income of $109,551, compared to $44,455 in Little falls.
  • In White plains, the percentage of married families is higher at 40.0%, compared to 34.0% in Little falls.
  • Little falls has a higher poverty level at 11% compared to 6% in White plains.
  • The unemployment rate in Little falls is higher at 4.2%, compared to 3.2% in White plains.

Demographics

Demographics Little falls vs White plains provide insight into the diversity of the communities to compare.

Demographic Little falls White plains
Black Data is updating 13
White 95 39
Asian 1 8
Hispanic 1 31
Two or More Races 3 9
American Indian Data is updating Data is updating

Demographics Comparison: Little falls vs White plains

  • In White plains, the percentage of Black residents is higher at 13% compared to 0% in Little falls.
  • Little falls has a higher percentage of White residents at 95% compared to 39% in White plains.
  • In White plains, the Asian population stands at 8%, greater than 1% in Little falls.
  • White plains has a higher percentage of Hispanic residents at 31%, compared to 1% in Little falls.
  • The percentage of residents identifying as two or more races is higher in White plains at 9%, compared to 3% in Little falls.
  • The percentage of American Indian residents is the same in both Little falls and White plains at 0%.

Health Statistics

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

Health Metric Little falls White plains
Mental Health Not Good 16.6% 13.1%
Physical Health Not Good 10.9% 9.1%
Depression 25.0% 17.7%
Smoking 22.3% 11.7%
Binge Drinking 20.6% 15.9%
Obesity 38.5% 28.4%
Disability Percentage 17.0% 10.0%

Health Statistics Comparison: Little falls vs White plains

  • More residents in Little falls report poor mental health at 16.6% compared to 13.1% in White plains.
  • Depression is more prevalent in Little falls at 25.0% compared to 17.7% in White plains.
  • Smoking is more prevalent in Little falls at 22.3% compared to 11.7% in White plains.
  • Binge drinking is more common in Little falls at 20.6% compared to 15.9% in White plains.
  • Obesity rates are higher in Little falls at 38.5% compared to 28.4% in White plains.
  • Disability percentages are higher in Little falls at 17.0% compared to 10.0% in White plains.

Education Levels

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

Education Level Little falls White plains
No Schooling 0.7% (63) 1.0% (566)
High School Diploma 25.4% (2,308) 11.6% (6,853)
Less than High School 11.7% (1,063) 14.7% (8,744)
Bachelor's Degree and Higher 14.3% (1,301) 39.0% (23,145)

Education Levels Comparison: Little falls vs White plains

  • In White plains, a larger percentage of residents lack formal schooling at 1.0% compared to 0.7% in Little falls.
  • A higher percentage of residents in Little falls hold a high school diploma at 25.4% compared to 11.6% in White plains.
  • The percentage of residents with less than a high school education is higher in White plains at 14.7%, compared to 11.7% in Little falls.
  • In White plains, a larger share of residents have a bachelor's degree or higher at 39.0% compared to 14.3% in Little 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.