Demographics details for Shasta lake, CA vs Lynn haven, FL

Population Overview

Compare main population characteristics in Shasta lake, CA vs Lynn haven, FL.

Data Shasta lake Lynn haven
Population 10,335 20,044
Median Age 38.8 years 35.4 years
Median Income $54,490 $81,378
Married Families 35.0% 43.0%
Poverty Level 12% 7%
Unemployment Rate 5.1 4.1

Population Comparison: Shasta lake vs Lynn haven

  • The population in Lynn haven is higher at 20,044, compared to 10,335 in Shasta lake.
  • Residents in Shasta lake have a higher median age of 38.8 years compared to 35.4 years in Lynn haven.
  • Lynn haven has a higher median income of $81,378, compared to $54,490 in Shasta lake.
  • In Lynn haven, the percentage of married families is higher at 43.0%, compared to 35.0% in Shasta lake.
  • Shasta lake has a higher poverty level at 12% compared to 7% in Lynn haven.
  • The unemployment rate in Shasta lake is higher at 5.1%, compared to 4.1% in Lynn haven.

Demographics

Demographics Shasta lake vs Lynn haven provide insight into the diversity of the communities to compare.

Demographic Shasta lake Lynn haven
Black Data is updating 8
White 74 73
Asian 1 3
Hispanic 12 8
Two or More Races 11 8
American Indian 2 Data is updating

Demographics Comparison: Shasta lake vs Lynn haven

  • In Lynn haven, the percentage of Black residents is higher at 8% compared to 0% in Shasta lake.
  • Shasta lake has a higher percentage of White residents at 74% compared to 73% in Lynn haven.
  • In Lynn haven, the Asian population stands at 3%, greater than 1% in Shasta lake.
  • The Hispanic community is larger in Shasta lake at 12% compared to 8% in Lynn haven.
  • More residents identify as two or more races in Shasta lake at 11% compared to 8% in Lynn haven.
  • A greater percentage of American Indian residents live in Shasta lake at 2% compared to 0% in Lynn haven.

Health Statistics

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

Health Metric Shasta lake Lynn haven
Mental Health Not Good 19.3% 16.1%
Physical Health Not Good 13.2% 10.4%
Depression 22.9% 21.3%
Smoking 17.4% 18.6%
Binge Drinking 17.5% 16.9%
Obesity 32.5% 28.9%
Disability Percentage 25.0% 14.0%

Health Statistics Comparison: Shasta lake vs Lynn haven

  • More residents in Shasta lake report poor mental health at 19.3% compared to 16.1% in Lynn haven.
  • Depression is more prevalent in Shasta lake at 22.9% compared to 21.3% in Lynn haven.
  • Lynn haven has a higher smoking rate at 18.6% compared to 17.4% in Shasta lake.
  • Binge drinking is more common in Shasta lake at 17.5% compared to 16.9% in Lynn haven.
  • Obesity rates are higher in Shasta lake at 32.5% compared to 28.9% in Lynn haven.
  • Disability percentages are higher in Shasta lake at 25.0% compared to 14.0% in Lynn haven.

Education Levels

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

Education Level Shasta lake Lynn haven
No Schooling 0.6% (67) 1.1% (217)
High School Diploma 17.0% (1,759) 11.8% (2,373)
Less than High School 11.4% (1,176) 7.9% (1,576)
Bachelor's Degree and Higher 9.2% (946) 19.8% (3,974)

Education Levels Comparison: Shasta lake vs Lynn haven

  • In Lynn haven, a larger percentage of residents lack formal schooling at 1.1% compared to 0.6% in Shasta lake.
  • A higher percentage of residents in Shasta lake hold a high school diploma at 17.0% compared to 11.8% in Lynn haven.
  • More residents in Shasta lake have less than a high school education at 11.4% compared to 7.9% in Lynn haven.
  • In Lynn haven, a larger share of residents have a bachelor's degree or higher at 19.8% 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.