Demographics details for Long pond, PA vs Oakland, CA

Population Overview

Compare main population characteristics in Long pond, PA vs Oakland, CA.

Data Long pond Oakland
Population 100 430,553
Median Age 45.0 years 37.5 years
Median Income $60,000 $94,389
Married Families 60.0% 34.0%
Poverty Level 5% 13%
Unemployment Rate 4.0 5.0

Population Comparison: Long pond vs Oakland

  • The population in Oakland is higher at 430,553, compared to 100 in Long pond.
  • Residents in Long pond have a higher median age of 45.0 years compared to 37.5 years in Oakland.
  • Oakland has a higher median income of $94,389, compared to $60,000 in Long pond.
  • A higher percentage of married families is found in Long pond at 60.0% compared to 34.0% in Oakland.
  • The poverty level is higher in Oakland at 13%, compared to 5% in Long pond.
  • Oakland has a higher unemployment rate at 5.0% compared to 4.0% in Long pond.

Demographics

Demographics Long pond vs Oakland provide insight into the diversity of the communities to compare.

Demographic Long pond Oakland
Black 2 22
White 95 24
Asian 1 16
Hispanic Data is updating 27
Two or More Races 2 10
American Indian Data is updating 1

Demographics Comparison: Long pond vs Oakland

  • In Oakland, the percentage of Black residents is higher at 22% compared to 2% in Long pond.
  • Long pond has a higher percentage of White residents at 95% compared to 24% in Oakland.
  • In Oakland, the Asian population stands at 16%, greater than 1% in Long pond.
  • Oakland has a higher percentage of Hispanic residents at 27%, compared to 0% in Long pond.
  • The percentage of residents identifying as two or more races is higher in Oakland at 10%, compared to 2% in Long pond.
  • In Oakland, the percentage of American Indian residents is higher at 1%, compared to 0% in Long pond.

Health Statistics

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

Health Metric Long pond Oakland
Mental Health Not Good Data is updating% 16.2%
Physical Health Not Good Data is updating% 10.8%
Depression Data is updating% 17.8%
Smoking Data is updating% 12.0%
Binge Drinking Data is updating% 14.7%
Obesity Data is updating% 30.5%
Disability Percentage Data is updating% 11.0%

Health Statistics Comparison: Long pond vs Oakland

  • In Oakland, a higher percentage report poor mental health at 16.2% compared to 0.0% in Long pond.
  • Higher depression rates are seen in Oakland at 17.8% versus 0.0% in Long pond.
  • Oakland has a higher smoking rate at 12.0% compared to 0.0% in Long pond.
  • More residents engage in binge drinking in Oakland at 14.7% compared to 0.0% in Long pond.
  • Oakland has higher obesity rates at 30.5% compared to 0.0% in Long pond.
  • There is a higher percentage of disabled individuals in Oakland at 11.0% compared to 0.0% in Long pond.

Education Levels

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

Education Level Long pond Oakland
No Schooling 0.0% (Data is updating) 3.1% (13,479)
High School Diploma 0.0% (Data is updating) 10.9% (46,896)
Less than High School 0.0% (Data is updating) 17.1% (73,435)
Bachelor's Degree and Higher 0.0% (Data is updating) 36.3% (156,333)

Education Levels Comparison: Long pond vs Oakland

  • In Oakland, a larger percentage of residents lack formal schooling at 3.1% compared to 0.0% in Long pond.
  • In Oakland, the rate of residents with high school diplomas is higher at 10.9% compared to 0.0% in Long pond.
  • The percentage of residents with less than a high school education is higher in Oakland at 17.1%, compared to 0.0% in Long pond.
  • In Oakland, a larger share of residents have a bachelor's degree or higher at 36.3% compared to 0.0% in Long pond.

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.