Demographics details for New york mills, NY vs Bloomington, IN

Population Overview

Compare main population characteristics in New york mills, NY vs Bloomington, IN.

Data New york mills Bloomington
Population 3,211 79,107
Median Age 49.6 years 24.4 years
Median Income $55,000 $46,543
Married Families 35.0% 23.0%
Poverty Level 10% 18%
Unemployment Rate 3.5 6.2

Population Comparison: New york mills vs Bloomington

  • The population in Bloomington is higher at 79,107, compared to 3,211 in New york mills.
  • Residents in New york mills have a higher median age of 49.6 years compared to 24.4 years in Bloomington.
  • New york mills has a higher median income of $55,000 compared to $46,543 in Bloomington.
  • A higher percentage of married families is found in New york mills at 35.0% compared to 23.0% in Bloomington.
  • The poverty level is higher in Bloomington at 18%, compared to 10% in New york mills.
  • Bloomington has a higher unemployment rate at 6.2% compared to 3.5% in New york mills.

Demographics

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

Demographic New york mills Bloomington
Black Data is updating 5
White 97 75
Asian 1 11
Hispanic 2 4
Two or More Races Data is updating 5
American Indian Data is updating Data is updating

Demographics Comparison: New york mills vs Bloomington

  • In Bloomington, the percentage of Black residents is higher at 5% compared to 0% in New york mills.
  • New york mills has a higher percentage of White residents at 97% compared to 75% in Bloomington.
  • In Bloomington, the Asian population stands at 11%, greater than 1% in New york mills.
  • Bloomington has a higher percentage of Hispanic residents at 4%, compared to 2% in New york mills.
  • The percentage of residents identifying as two or more races is higher in Bloomington at 5%, compared to 0% in New york mills.
  • The percentage of American Indian residents is the same in both New york mills and Bloomington at 0%.

Health Statistics

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

Health Metric New york mills Bloomington
Mental Health Not Good 15.9% 17.6%
Physical Health Not Good 10.1% 11.7%
Depression 25.2% 26.7%
Smoking 19.5% 17.0%
Binge Drinking 19.9% 16.7%
Obesity 33.7% 34.4%
Disability Percentage 17.0% 9.0%

Health Statistics Comparison: New york mills vs Bloomington

  • In Bloomington, a higher percentage report poor mental health at 17.6% compared to 15.9% in New york mills.
  • Higher depression rates are seen in Bloomington at 26.7% versus 25.2% in New york mills.
  • Smoking is more prevalent in New york mills at 19.5% compared to 17.0% in Bloomington.
  • Binge drinking is more common in New york mills at 19.9% compared to 16.7% in Bloomington.
  • Bloomington has higher obesity rates at 34.4% compared to 33.7% in New york mills.
  • Disability percentages are higher in New york mills at 17.0% compared to 9.0% in Bloomington.

Education Levels

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

Education Level New york mills Bloomington
No Schooling 0.2% (6) 0.1% (95)
High School Diploma 9.5% (306) 5.8% (4,606)
Less than High School 5.4% (172) 4.2% (3,311)
Bachelor's Degree and Higher 31.2% (1,003) 29.0% (22,911)

Education Levels Comparison: New york mills vs Bloomington

  • A higher percentage of residents in New york mills have no formal schooling at 0.2% compared to 0.1% in Bloomington.
  • A higher percentage of residents in New york mills hold a high school diploma at 9.5% compared to 5.8% in Bloomington.
  • More residents in New york mills have less than a high school education at 5.4% compared to 4.2% in Bloomington.
  • A higher percentage of residents in New york mills hold a bachelor's degree or higher at 31.2% compared to 29.0% in Bloomington.

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.