Demographics details for Green village, NJ vs Winona, MS

Population Overview

Compare main population characteristics in Green village, NJ vs Winona, MS.

Data Green village Winona
Population 2,280 4,159
Median Age 45.5 years 33.7 years
Median Income $130,000 $26,250
Married Families 65.0% 21.0%
Poverty Level 5% 24%
Unemployment Rate 3.5 3.6

Population Comparison: Green village vs Winona

  • The population in Winona is higher at 4,159, compared to 2,280 in Green village.
  • Residents in Green village have a higher median age of 45.5 years compared to 33.7 years in Winona.
  • Green village has a higher median income of $130,000 compared to $26,250 in Winona.
  • A higher percentage of married families is found in Green village at 65.0% compared to 21.0% in Winona.
  • The poverty level is higher in Winona at 24%, compared to 5% in Green village.
  • Winona has a higher unemployment rate at 3.6% compared to 3.5% in Green village.

Demographics

Demographics Green village vs Winona provide insight into the diversity of the communities to compare.

Demographic Green village Winona
Black Data is updating 62
White 90 38
Asian 5 Data is updating
Hispanic 2 Data is updating
Two or More Races 3 Data is updating
American Indian Data is updating Data is updating

Demographics Comparison: Green village vs Winona

  • In Winona, the percentage of Black residents is higher at 62% compared to 0% in Green village.
  • Green village has a higher percentage of White residents at 90% compared to 38% in Winona.
  • The Asian population is larger in Green village at 5% compared to 0% in Winona.
  • The Hispanic community is larger in Green village at 2% compared to 0% in Winona.
  • More residents identify as two or more races in Green village at 3% compared to 0% in Winona.
  • The percentage of American Indian residents is the same in both Green village and Winona at 0%.

Health Statistics

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

Health Metric Green village Winona
Mental Health Not Good Data is updating% 19.3%
Physical Health Not Good Data is updating% 15.0%
Depression Data is updating% 22.3%
Smoking Data is updating% 24.8%
Binge Drinking Data is updating% 11.8%
Obesity Data is updating% 46.4%
Disability Percentage Data is updating% 25.0%

Health Statistics Comparison: Green village vs Winona

  • In Winona, a higher percentage report poor mental health at 19.3% compared to 0.0% in Green village.
  • Higher depression rates are seen in Winona at 22.3% versus 0.0% in Green village.
  • Winona has a higher smoking rate at 24.8% compared to 0.0% in Green village.
  • More residents engage in binge drinking in Winona at 11.8% compared to 0.0% in Green village.
  • Winona has higher obesity rates at 46.4% compared to 0.0% in Green village.
  • There is a higher percentage of disabled individuals in Winona at 25.0% compared to 0.0% in Green village.

Education Levels

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

Education Level Green village Winona
No Schooling 0.0% (Data is updating) 2.1% (87)
High School Diploma 0.0% (Data is updating) 11.4% (473)
Less than High School 0.0% (Data is updating) 28.5% (1,186)
Bachelor's Degree and Higher 0.0% (Data is updating) 9.3% (388)

Education Levels Comparison: Green village vs Winona

  • In Winona, a larger percentage of residents lack formal schooling at 2.1% compared to 0.0% in Green village.
  • In Winona, the rate of residents with high school diplomas is higher at 11.4% compared to 0.0% in Green village.
  • The percentage of residents with less than a high school education is higher in Winona at 28.5%, compared to 0.0% in Green village.
  • In Winona, a larger share of residents have a bachelor's degree or higher at 9.3% compared to 0.0% in Green village.

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.