Demographics details for Shasta lake, CA vs Oakland park, FL

Population Overview

Compare main population characteristics in Shasta lake, CA vs Oakland park, FL.

Data Shasta lake Oakland park
Population 10,335 43,824
Median Age 38.8 years 39.1 years
Median Income $54,490 $64,989
Married Families 35.0% 30.0%
Poverty Level 12% 14%
Unemployment Rate 5.1 3.1

Population Comparison: Shasta lake vs Oakland park

  • The population in Oakland park is higher at 43,824, compared to 10,335 in Shasta lake.
  • The median age in Oakland park is higher at 39.1 years, compared to 38.8 years in Shasta lake.
  • Oakland park has a higher median income of $64,989, compared to $54,490 in Shasta lake.
  • A higher percentage of married families is found in Shasta lake at 35.0% compared to 30.0% in Oakland park.
  • The poverty level is higher in Oakland park at 14%, compared to 12% in Shasta lake.
  • The unemployment rate in Shasta lake is higher at 5.1%, compared to 3.1% in Oakland park.

Demographics

Demographics Shasta lake vs Oakland park provide insight into the diversity of the communities to compare.

Demographic Shasta lake Oakland park
Black Data is updating 29
White 74 20
Asian 1 2
Hispanic 12 32
Two or More Races 11 17
American Indian 2 Data is updating

Demographics Comparison: Shasta lake vs Oakland park

  • In Oakland park, the percentage of Black residents is higher at 29% compared to 0% in Shasta lake.
  • Shasta lake has a higher percentage of White residents at 74% compared to 20% in Oakland park.
  • In Oakland park, the Asian population stands at 2%, greater than 1% in Shasta lake.
  • Oakland park has a higher percentage of Hispanic residents at 32%, compared to 12% in Shasta lake.
  • The percentage of residents identifying as two or more races is higher in Oakland park at 17%, compared to 11% in Shasta lake.
  • A greater percentage of American Indian residents live in Shasta lake at 2% compared to 0% in Oakland park.

Health Statistics

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

Health Metric Shasta lake Oakland park
Mental Health Not Good 19.3% 16.3%
Physical Health Not Good 13.2% 12.2%
Depression 22.9% 17.8%
Smoking 17.4% 20.1%
Binge Drinking 17.5% 15.0%
Obesity 32.5% 31.1%
Disability Percentage 25.0% 11.0%

Health Statistics Comparison: Shasta lake vs Oakland park

  • More residents in Shasta lake report poor mental health at 19.3% compared to 16.3% in Oakland park.
  • Depression is more prevalent in Shasta lake at 22.9% compared to 17.8% in Oakland park.
  • Oakland park has a higher smoking rate at 20.1% compared to 17.4% in Shasta lake.
  • Binge drinking is more common in Shasta lake at 17.5% compared to 15.0% in Oakland park.
  • Obesity rates are higher in Shasta lake at 32.5% compared to 31.1% in Oakland park.
  • Disability percentages are higher in Shasta lake at 25.0% compared to 11.0% in Oakland park.

Education Levels

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

Education Level Shasta lake Oakland park
No Schooling 0.6% (67) 1.4% (596)
High School Diploma 17.0% (1,759) 19.8% (8,695)
Less than High School 11.4% (1,176) 16.2% (7,092)
Bachelor's Degree and Higher 9.2% (946) 20.7% (9,073)

Education Levels Comparison: Shasta lake vs Oakland park

  • In Oakland park, a larger percentage of residents lack formal schooling at 1.4% compared to 0.6% in Shasta lake.
  • In Oakland park, the rate of residents with high school diplomas is higher at 19.8% compared to 17.0% in Shasta lake.
  • The percentage of residents with less than a high school education is higher in Oakland park at 16.2%, compared to 11.4% in Shasta lake.
  • In Oakland park, a larger share of residents have a bachelor's degree or higher at 20.7% compared to 9.2% in Shasta lake.

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.