Demographics details for Ocean city, NJ vs Montrose, MI

Population Overview

Compare main population characteristics in Ocean city, NJ vs Montrose, MI.

Data Ocean city Montrose
Population 11,303 1,712
Median Age 56.9 years 32.5 years
Median Income $98,576 $41,750
Married Families 53.0% 33.0%
Poverty Level Data is updating 15%
Unemployment Rate 3.2 5.0

Population Comparison: Ocean city vs Montrose

  • In Ocean city, the population is higher at 11,303, compared to 1,712 in Montrose.
  • Residents in Ocean city have a higher median age of 56.9 years compared to 32.5 years in Montrose.
  • Ocean city has a higher median income of $98,576 compared to $41,750 in Montrose.
  • A higher percentage of married families is found in Ocean city at 53.0% compared to 33.0% in Montrose.
  • The poverty level is higher in Montrose at 15%, compared to 0% in Ocean city.
  • Montrose has a higher unemployment rate at 5.0% compared to 3.2% in Ocean city.

Demographics

Demographics Ocean city vs Montrose provide insight into the diversity of the communities to compare.

Demographic Ocean city Montrose
Black 3 6
White 86 77
Asian Data is updating Data is updating
Hispanic 8 7
Two or More Races 3 9
American Indian Data is updating 1

Demographics Comparison: Ocean city vs Montrose

  • In Montrose, the percentage of Black residents is higher at 6% compared to 3% in Ocean city.
  • Ocean city has a higher percentage of White residents at 86% compared to 77% in Montrose.
  • Both Ocean city and Montrose have the same percentage of Asian residents at 0%.
  • The Hispanic community is larger in Ocean city at 8% compared to 7% in Montrose.
  • The percentage of residents identifying as two or more races is higher in Montrose at 9%, compared to 3% in Ocean city.
  • In Montrose, the percentage of American Indian residents is higher at 1%, compared to 0% in Ocean city.

Health Statistics

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

Health Metric Ocean city Montrose
Mental Health Not Good 14.0% 19.3%
Physical Health Not Good 8.7% 14.0%
Depression 21.8% 29.0%
Smoking 11.9% 24.2%
Binge Drinking 20.3% 18.0%
Obesity 29.8% 41.8%
Disability Percentage 14.0% 26.0%

Health Statistics Comparison: Ocean city vs Montrose

  • In Montrose, a higher percentage report poor mental health at 19.3% compared to 14.0% in Ocean city.
  • Higher depression rates are seen in Montrose at 29.0% versus 21.8% in Ocean city.
  • Montrose has a higher smoking rate at 24.2% compared to 11.9% in Ocean city.
  • Binge drinking is more common in Ocean city at 20.3% compared to 18.0% in Montrose.
  • Montrose has higher obesity rates at 41.8% compared to 29.8% in Ocean city.
  • There is a higher percentage of disabled individuals in Montrose at 26.0% compared to 14.0% in Ocean city.

Education Levels

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

Education Level Ocean city Montrose
No Schooling 0.4% (50) 2.0% (34)
High School Diploma 16.9% (1,907) 22.7% (388)
Less than High School 6.0% (676) 17.2% (295)
Bachelor's Degree and Higher 43.6% (4,926) 6.8% (117)

Education Levels Comparison: Ocean city vs Montrose

  • In Montrose, a larger percentage of residents lack formal schooling at 2.0% compared to 0.4% in Ocean city.
  • In Montrose, the rate of residents with high school diplomas is higher at 22.7% compared to 16.9% in Ocean city.
  • The percentage of residents with less than a high school education is higher in Montrose at 17.2%, compared to 6.0% in Ocean city.
  • A higher percentage of residents in Ocean city hold a bachelor's degree or higher at 43.6% compared to 6.8% in Montrose.

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.