Demographics details for Mount olive, MS vs New windsor, NY

Population Overview

Compare main population characteristics in Mount olive, MS vs New windsor, NY.

Data Mount olive New windsor
Population 878 27,664
Median Age 31.7 years 41.0 years
Median Income $53,947 $80,000
Married Families 49.0% 62.1%
Poverty Level 18% Data is updating
Unemployment Rate 6.5 3.1

Population Comparison: Mount olive vs New windsor

  • The population in New windsor is higher at 27,664, compared to 878 in Mount olive.
  • The median age in New windsor is higher at 41.0 years, compared to 31.7 years in Mount olive.
  • New windsor has a higher median income of $80,000, compared to $53,947 in Mount olive.
  • In New windsor, the percentage of married families is higher at 62.1%, compared to 49.0% in Mount olive.
  • Mount olive has a higher poverty level at 18% compared to 0% in New windsor.
  • The unemployment rate in Mount olive is higher at 6.5%, compared to 3.1% in New windsor.

Demographics

Demographics Mount olive vs New windsor provide insight into the diversity of the communities to compare.

Demographic Mount olive New windsor
Black 120 5
White 145 80
Asian 2 5
Hispanic Data is updating 10
Two or More Races Data is updating Data is updating
American Indian Data is updating Data is updating

Demographics Comparison: Mount olive vs New windsor

  • A higher percentage of Black residents are in Mount olive at 120% compared to 5% in New windsor.
  • Mount olive has a higher percentage of White residents at 145% compared to 80% in New windsor.
  • In New windsor, the Asian population stands at 5%, greater than 2% in Mount olive.
  • New windsor has a higher percentage of Hispanic residents at 10%, compared to 0% in Mount olive.
  • Both Mount olive and New windsor have the same percentage of residents identifying as two or more races at 0%.
  • The percentage of American Indian residents is the same in both Mount olive and New windsor at 0%.

Health Statistics

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

Health Metric Mount olive New windsor
Mental Health Not Good 17.8% Data is updating%
Physical Health Not Good 13.3% Data is updating%
Depression 21.5% Data is updating%
Smoking 21.3% Data is updating%
Binge Drinking 13.0% Data is updating%
Obesity 43.6% Data is updating%
Disability Percentage 27.0% Data is updating%

Health Statistics Comparison: Mount olive vs New windsor

  • More residents in Mount olive report poor mental health at 17.8% compared to 0.0% in New windsor.
  • Depression is more prevalent in Mount olive at 21.5% compared to 0.0% in New windsor.
  • Smoking is more prevalent in Mount olive at 21.3% compared to 0.0% in New windsor.
  • Binge drinking is more common in Mount olive at 13.0% compared to 0.0% in New windsor.
  • Obesity rates are higher in Mount olive at 43.6% compared to 0.0% in New windsor.
  • Disability percentages are higher in Mount olive at 27.0% compared to 0.0% in New windsor.

Education Levels

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

Education Level Mount olive New windsor
No Schooling 2.3% (20) 0.0% (Data is updating)
High School Diploma 23.9% (210) 0.0% (Data is updating)
Less than High School 14.9% (131) 0.0% (Data is updating)
Bachelor's Degree and Higher 13.0% (114) 0.0% (Data is updating)

Education Levels Comparison: Mount olive vs New windsor

  • A higher percentage of residents in Mount olive have no formal schooling at 2.3% compared to 0.0% in New windsor.
  • A higher percentage of residents in Mount olive hold a high school diploma at 23.9% compared to 0.0% in New windsor.
  • More residents in Mount olive have less than a high school education at 14.9% compared to 0.0% in New windsor.
  • A higher percentage of residents in Mount olive hold a bachelor's degree or higher at 13.0% compared to 0.0% in New windsor.

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.