Demographics details for Southold, NY vs West covina, CA

Population Overview

Compare main population characteristics in Southold, NY vs West covina, CA.

Data Southold West covina
Population 22,125 105,013
Median Age 47.0 years 39.8 years
Median Income $92,839 $96,219
Married Families 65.0% 39.0%
Poverty Level 5% 13%
Unemployment Rate 3.0 5.6

Population Comparison: Southold vs West covina

  • The population in West covina is higher at 105,013, compared to 22,125 in Southold.
  • Residents in Southold have a higher median age of 47.0 years compared to 39.8 years in West covina.
  • West covina has a higher median income of $96,219, compared to $92,839 in Southold.
  • A higher percentage of married families is found in Southold at 65.0% compared to 39.0% in West covina.
  • The poverty level is higher in West covina at 13%, compared to 5% in Southold.
  • West covina has a higher unemployment rate at 5.6% compared to 3.0% in Southold.

Demographics

Demographics Southold vs West covina provide insight into the diversity of the communities to compare.

Demographic Southold West covina
Black 2 4
White 90 -5
Asian 1 30
Hispanic 5 55
Two or More Races 2 15
American Indian Data is updating 1

Demographics Comparison: Southold vs West covina

  • In West covina, the percentage of Black residents is higher at 4% compared to 2% in Southold.
  • Southold has a higher percentage of White residents at 90% compared to -5% in West covina.
  • In West covina, the Asian population stands at 30%, greater than 1% in Southold.
  • West covina has a higher percentage of Hispanic residents at 55%, compared to 5% in Southold.
  • The percentage of residents identifying as two or more races is higher in West covina at 15%, compared to 2% in Southold.
  • In West covina, the percentage of American Indian residents is higher at 1%, compared to 0% in Southold.

Health Statistics

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

Health Metric Southold West covina
Mental Health Not Good Data is updating% 13.7%
Physical Health Not Good Data is updating% 9.9%
Depression Data is updating% 13.7%
Smoking Data is updating% 9.3%
Binge Drinking Data is updating% 14.4%
Obesity Data is updating% 25.8%
Disability Percentage Data is updating% 12.0%

Health Statistics Comparison: Southold vs West covina

  • In West covina, a higher percentage report poor mental health at 13.7% compared to 0.0% in Southold.
  • Higher depression rates are seen in West covina at 13.7% versus 0.0% in Southold.
  • West covina has a higher smoking rate at 9.3% compared to 0.0% in Southold.
  • More residents engage in binge drinking in West covina at 14.4% compared to 0.0% in Southold.
  • West covina has higher obesity rates at 25.8% compared to 0.0% in Southold.
  • There is a higher percentage of disabled individuals in West covina at 12.0% 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 West covina
No Schooling 0.0% (Data is updating) 2.6% (2,712)
High School Diploma 0.0% (Data is updating) 18.1% (19,047)
Less than High School 0.0% (Data is updating) 17.0% (17,801)
Bachelor's Degree and Higher 0.0% (Data is updating) 21.8% (22,904)

Education Levels Comparison: Southold vs West covina

  • In West covina, a larger percentage of residents lack formal schooling at 2.6% compared to 0.0% in Southold.
  • In West covina, the rate of residents with high school diplomas is higher at 18.1% compared to 0.0% in Southold.
  • The percentage of residents with less than a high school education is higher in West covina at 17.0%, compared to 0.0% in Southold.
  • In West covina, a larger share of residents have a bachelor's degree or higher at 21.8% 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.