Demographics details for Berkshire, NY vs Sand springs, OK

Population Overview

Compare main population characteristics in Berkshire, NY vs Sand springs, OK.

Data Berkshire Sand springs
Population 1,412 20,031
Median Age 38.0 years 36.6 years
Median Income $60,000 $70,431
Married Families 45.0% 41.0%
Poverty Level 10% 9%
Unemployment Rate 5.0 3.8

Population Comparison: Berkshire vs Sand springs

  • The population in Sand springs is higher at 20,031, compared to 1,412 in Berkshire.
  • Residents in Berkshire have a higher median age of 38.0 years compared to 36.6 years in Sand springs.
  • Sand springs has a higher median income of $70,431, compared to $60,000 in Berkshire.
  • A higher percentage of married families is found in Berkshire at 45.0% compared to 41.0% in Sand springs.
  • Berkshire has a higher poverty level at 10% compared to 9% in Sand springs.
  • The unemployment rate in Berkshire is higher at 5.0%, compared to 3.8% in Sand springs.

Demographics

Demographics Berkshire vs Sand springs provide insight into the diversity of the communities to compare.

Demographic Berkshire Sand springs
Black Data is updating 2
White 95 76
Asian Data is updating 1
Hispanic 2 5
Two or More Races 3 9
American Indian Data is updating 7

Demographics Comparison: Berkshire vs Sand springs

  • In Sand springs, the percentage of Black residents is higher at 2% compared to 0% in Berkshire.
  • Berkshire has a higher percentage of White residents at 95% compared to 76% in Sand springs.
  • In Sand springs, the Asian population stands at 1%, greater than 0% in Berkshire.
  • Sand springs has a higher percentage of Hispanic residents at 5%, compared to 2% in Berkshire.
  • The percentage of residents identifying as two or more races is higher in Sand springs at 9%, compared to 3% in Berkshire.
  • In Sand springs, the percentage of American Indian residents is higher at 7%, compared to 0% in Berkshire.

Health Statistics

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

Health Metric Berkshire Sand springs
Mental Health Not Good Data is updating% 18.6%
Physical Health Not Good Data is updating% 11.8%
Depression Data is updating% 26.9%
Smoking Data is updating% 18.2%
Binge Drinking Data is updating% 15.0%
Obesity Data is updating% 35.7%
Disability Percentage Data is updating% 17.0%

Health Statistics Comparison: Berkshire vs Sand springs

  • In Sand springs, a higher percentage report poor mental health at 18.6% compared to 0.0% in Berkshire.
  • Higher depression rates are seen in Sand springs at 26.9% versus 0.0% in Berkshire.
  • Sand springs has a higher smoking rate at 18.2% compared to 0.0% in Berkshire.
  • More residents engage in binge drinking in Sand springs at 15.0% compared to 0.0% in Berkshire.
  • Sand springs has higher obesity rates at 35.7% compared to 0.0% in Berkshire.
  • There is a higher percentage of disabled individuals in Sand springs at 17.0% compared to 0.0% in Berkshire.

Education Levels

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

Education Level Berkshire Sand springs
No Schooling 0.0% (Data is updating) 0.5% (98)
High School Diploma 0.0% (Data is updating) 16.8% (3,364)
Less than High School 0.0% (Data is updating) 11.3% (2,260)
Bachelor's Degree and Higher 0.0% (Data is updating) 15.2% (3,042)

Education Levels Comparison: Berkshire vs Sand springs

  • In Sand springs, a larger percentage of residents lack formal schooling at 0.5% compared to 0.0% in Berkshire.
  • In Sand springs, the rate of residents with high school diplomas is higher at 16.8% compared to 0.0% in Berkshire.
  • The percentage of residents with less than a high school education is higher in Sand springs at 11.3%, compared to 0.0% in Berkshire.
  • In Sand springs, a larger share of residents have a bachelor's degree or higher at 15.2% compared to 0.0% in Berkshire.

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.