Demographics details for Great valley, NY vs Goleta, CA

Population Overview

Compare main population characteristics in Great valley, NY vs Goleta, CA.

Data Great valley Goleta
Population 1,951 32,432
Median Age 42.0 years 35.0 years
Median Income $60,000 $113,889
Married Families 55.0% 37.0%
Poverty Level 10% 8%
Unemployment Rate 5.0 3.2

Population Comparison: Great valley vs Goleta

  • The population in Goleta is higher at 32,432, compared to 1,951 in Great valley.
  • Residents in Great valley have a higher median age of 42.0 years compared to 35.0 years in Goleta.
  • Goleta has a higher median income of $113,889, compared to $60,000 in Great valley.
  • A higher percentage of married families is found in Great valley at 55.0% compared to 37.0% in Goleta.
  • Great valley has a higher poverty level at 10% compared to 8% in Goleta.
  • The unemployment rate in Great valley is higher at 5.0%, compared to 3.2% in Goleta.

Demographics

Demographics Great valley vs Goleta provide insight into the diversity of the communities to compare.

Demographic Great valley Goleta
Black 2 3
White 95 34
Asian 1 11
Hispanic 2 37
Two or More Races Data is updating 14
American Indian Data is updating 1

Demographics Comparison: Great valley vs Goleta

  • In Goleta, the percentage of Black residents is higher at 3% compared to 2% in Great valley.
  • Great valley has a higher percentage of White residents at 95% compared to 34% in Goleta.
  • In Goleta, the Asian population stands at 11%, greater than 1% in Great valley.
  • Goleta has a higher percentage of Hispanic residents at 37%, compared to 2% in Great valley.
  • The percentage of residents identifying as two or more races is higher in Goleta at 14%, compared to 0% in Great valley.
  • In Goleta, the percentage of American Indian residents is higher at 1%, compared to 0% in Great valley.

Health Statistics

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

Health Metric Great valley Goleta
Mental Health Not Good Data is updating% 13.9%
Physical Health Not Good Data is updating% 9.2%
Depression Data is updating% 18.1%
Smoking Data is updating% 9.8%
Binge Drinking Data is updating% 17.0%
Obesity Data is updating% 26.7%
Disability Percentage Data is updating% 8.0%

Health Statistics Comparison: Great valley vs Goleta

  • In Goleta, a higher percentage report poor mental health at 13.9% compared to 0.0% in Great valley.
  • Higher depression rates are seen in Goleta at 18.1% versus 0.0% in Great valley.
  • Goleta has a higher smoking rate at 9.8% compared to 0.0% in Great valley.
  • More residents engage in binge drinking in Goleta at 17.0% compared to 0.0% in Great valley.
  • Goleta has higher obesity rates at 26.7% compared to 0.0% in Great valley.
  • There is a higher percentage of disabled individuals in Goleta at 8.0% compared to 0.0% in Great valley.

Education Levels

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

Education Level Great valley Goleta
No Schooling 0.0% (Data is updating) 2.6% (836)
High School Diploma 0.0% (Data is updating) 7.0% (2,263)
Less than High School 0.0% (Data is updating) 15.7% (5,090)
Bachelor's Degree and Higher 0.0% (Data is updating) 32.6% (10,582)

Education Levels Comparison: Great valley vs Goleta

  • In Goleta, a larger percentage of residents lack formal schooling at 2.6% compared to 0.0% in Great valley.
  • In Goleta, the rate of residents with high school diplomas is higher at 7.0% compared to 0.0% in Great valley.
  • The percentage of residents with less than a high school education is higher in Goleta at 15.7%, compared to 0.0% in Great valley.
  • In Goleta, a larger share of residents have a bachelor's degree or higher at 32.6% compared to 0.0% in Great valley.

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.