Demographics details for Southold, NY vs What cheer, IA

Population Overview

Compare main population characteristics in Southold, NY vs What cheer, IA.

Data Southold What cheer
Population 22,125 597
Median Age 47.0 years 34.8 years
Median Income $92,839 $45,500
Married Families 65.0% 45.0%
Poverty Level 5% 12%
Unemployment Rate 3.0 3.9

Population Comparison: Southold vs What cheer

  • In Southold, the population is higher at 22,125, compared to 597 in What cheer.
  • Residents in Southold have a higher median age of 47.0 years compared to 34.8 years in What cheer.
  • Southold has a higher median income of $92,839 compared to $45,500 in What cheer.
  • A higher percentage of married families is found in Southold at 65.0% compared to 45.0% in What cheer.
  • The poverty level is higher in What cheer at 12%, compared to 5% in Southold.
  • What cheer has a higher unemployment rate at 3.9% compared to 3.0% in Southold.

Demographics

Demographics Southold vs What cheer provide insight into the diversity of the communities to compare.

Demographic Southold What cheer
Black 2 3
White 90 87
Asian 1 Data is updating
Hispanic 5 6
Two or More Races 2 4
American Indian Data is updating Data is updating

Demographics Comparison: Southold vs What cheer

  • In What cheer, the percentage of Black residents is higher at 3% compared to 2% in Southold.
  • Southold has a higher percentage of White residents at 90% compared to 87% in What cheer.
  • The Asian population is larger in Southold at 1% compared to 0% in What cheer.
  • What cheer has a higher percentage of Hispanic residents at 6%, compared to 5% in Southold.
  • The percentage of residents identifying as two or more races is higher in What cheer at 4%, compared to 2% in Southold.
  • The percentage of American Indian residents is the same in both Southold and What cheer at 0%.

Health Statistics

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

Health Metric Southold What cheer
Mental Health Not Good Data is updating% 17.0%
Physical Health Not Good Data is updating% 11.3%
Depression Data is updating% 20.1%
Smoking Data is updating% 21.2%
Binge Drinking Data is updating% 21.0%
Obesity Data is updating% 40.1%
Disability Percentage Data is updating% 30.0%

Health Statistics Comparison: Southold vs What cheer

  • In What cheer, a higher percentage report poor mental health at 17.0% compared to 0.0% in Southold.
  • Higher depression rates are seen in What cheer at 20.1% versus 0.0% in Southold.
  • What cheer has a higher smoking rate at 21.2% compared to 0.0% in Southold.
  • More residents engage in binge drinking in What cheer at 21.0% compared to 0.0% in Southold.
  • What cheer has higher obesity rates at 40.1% compared to 0.0% in Southold.
  • There is a higher percentage of disabled individuals in What cheer at 30.0% compared to 0.0% in Southold.

Education Levels

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

Education Level Southold What cheer
No Schooling 0.0% (Data is updating) 1.5% (9)
High School Diploma 0.0% (Data is updating) 31.8% (190)
Less than High School 0.0% (Data is updating) 11.9% (71)
Bachelor's Degree and Higher 0.0% (Data is updating) 5.0% (30)

Education Levels Comparison: Southold vs What cheer

  • In What cheer, a larger percentage of residents lack formal schooling at 1.5% compared to 0.0% in Southold.
  • In What cheer, the rate of residents with high school diplomas is higher at 31.8% compared to 0.0% in Southold.
  • The percentage of residents with less than a high school education is higher in What cheer at 11.9%, compared to 0.0% in Southold.
  • In What cheer, a larger share of residents have a bachelor's degree or higher at 5.0% compared to 0.0% in Southold.

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.