Demographics details for Mountain dale, NY vs Princeton, MA

Population Overview

Compare main population characteristics in Mountain dale, NY vs Princeton, MA.

Data Mountain dale Princeton
Population 260 3,478
Median Age 60.3 years 43.0 years
Median Income $72,000 $102,500
Married Families 34.0% 62.0%
Poverty Level 8% 3%
Unemployment Rate 4.5 3.6

Population Comparison: Mountain dale vs Princeton

  • The population in Princeton is higher at 3,478, compared to 260 in Mountain dale.
  • Residents in Mountain dale have a higher median age of 60.3 years compared to 43.0 years in Princeton.
  • Princeton has a higher median income of $102,500, compared to $72,000 in Mountain dale.
  • In Princeton, the percentage of married families is higher at 62.0%, compared to 34.0% in Mountain dale.
  • Mountain dale has a higher poverty level at 8% compared to 3% in Princeton.
  • The unemployment rate in Mountain dale is higher at 4.5%, compared to 3.6% in Princeton.

Demographics

Demographics Mountain dale vs Princeton provide insight into the diversity of the communities to compare.

Demographic Mountain dale Princeton
Black 4 1
White 79 95
Asian Data is updating 2
Hispanic 12 1
Two or More Races 5 1
American Indian Data is updating Data is updating

Demographics Comparison: Mountain dale vs Princeton

  • A higher percentage of Black residents are in Mountain dale at 4% compared to 1% in Princeton.
  • The percentage of White residents is higher in Princeton at 95% compared to 79% in Mountain dale.
  • In Princeton, the Asian population stands at 2%, greater than 0% in Mountain dale.
  • The Hispanic community is larger in Mountain dale at 12% compared to 1% in Princeton.
  • More residents identify as two or more races in Mountain dale at 5% compared to 1% in Princeton.
  • The percentage of American Indian residents is the same in both Mountain dale and Princeton at 0%.

Health Statistics

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

Health Metric Mountain dale Princeton
Mental Health Not Good Data is updating% Data is updating%
Physical Health Not Good Data is updating% Data is updating%
Depression Data is updating% Data is updating%
Smoking Data is updating% Data is updating%
Binge Drinking Data is updating% Data is updating%
Obesity Data is updating% Data is updating%
Disability Percentage 8.0% Data is updating%

Health Statistics Comparison: Mountain dale vs Princeton

  • Poor mental health levels are equal in both Mountain dale and Princeton at 0.0%.
  • Both cities have comparable depression rates at 0.0%.
  • Smoking rates are the same in both Mountain dale and Princeton at 0.0%.
  • Binge drinking rates are similar in both Mountain dale and Princeton at 0.0%.
  • Both cities have the same obesity rates at 0.0%.
  • Disability percentages are higher in Mountain dale at 8.0% compared to 0.0% in Princeton.

Education Levels

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

Education Level Mountain dale Princeton
No Schooling 0.0% (Data is updating) 0.0% (Data is updating)
High School Diploma 19.2% (50) 0.0% (Data is updating)
Less than High School 16.2% (42) 0.0% (Data is updating)
Bachelor's Degree and Higher 37.3% (97) 0.0% (Data is updating)

Education Levels Comparison: Mountain dale vs Princeton

  • The percentage of residents with no formal schooling is the same in both Mountain dale and Princeton at 0.0%.
  • A higher percentage of residents in Mountain dale hold a high school diploma at 19.2% compared to 0.0% in Princeton.
  • More residents in Mountain dale have less than a high school education at 16.2% compared to 0.0% in Princeton.
  • A higher percentage of residents in Mountain dale hold a bachelor's degree or higher at 37.3% compared to 0.0% in Princeton.

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.