Demographics details for Santa clara, CA vs Panama city beach, FL

Population Overview

Compare main population characteristics in Santa clara, CA vs Panama city beach, FL.

Data Santa clara Panama city beach
Population 126,930 19,056
Median Age 34.5 years 45.3 years
Median Income $165,352 $76,091
Married Families 45.0% 42.0%
Poverty Level 8% 10%
Unemployment Rate 3.9 4.1

Population Comparison: Santa clara vs Panama city beach

  • In Santa clara, the population is higher at 126,930, compared to 19,056 in Panama city beach.
  • The median age in Panama city beach is higher at 45.3 years, compared to 34.5 years in Santa clara.
  • Santa clara has a higher median income of $165,352 compared to $76,091 in Panama city beach.
  • A higher percentage of married families is found in Santa clara at 45.0% compared to 42.0% in Panama city beach.
  • The poverty level is higher in Panama city beach at 10%, compared to 8% in Santa clara.
  • Panama city beach has a higher unemployment rate at 4.1% compared to 3.9% in Santa clara.

Demographics

Demographics Santa clara vs Panama city beach provide insight into the diversity of the communities to compare.

Demographic Santa clara Panama city beach
Black 2 8
White 27 77
Asian 48 1
Hispanic 15 8
Two or More Races 8 5
American Indian Data is updating 1

Demographics Comparison: Santa clara vs Panama city beach

  • In Panama city beach, the percentage of Black residents is higher at 8% compared to 2% in Santa clara.
  • The percentage of White residents is higher in Panama city beach at 77% compared to 27% in Santa clara.
  • The Asian population is larger in Santa clara at 48% compared to 1% in Panama city beach.
  • The Hispanic community is larger in Santa clara at 15% compared to 8% in Panama city beach.
  • More residents identify as two or more races in Santa clara at 8% compared to 5% in Panama city beach.
  • In Panama city beach, the percentage of American Indian residents is higher at 1%, compared to 0% in Santa clara.

Health Statistics

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

Health Metric Santa clara Panama city beach
Mental Health Not Good 12.0% 15.6%
Physical Health Not Good 7.4% 9.7%
Depression 14.2% 20.9%
Smoking 7.1% 17.8%
Binge Drinking 13.9% 18.0%
Obesity 18.6% 27.3%
Disability Percentage 7.0% 12.0%

Health Statistics Comparison: Santa clara vs Panama city beach

  • In Panama city beach, a higher percentage report poor mental health at 15.6% compared to 12.0% in Santa clara.
  • Higher depression rates are seen in Panama city beach at 20.9% versus 14.2% in Santa clara.
  • Panama city beach has a higher smoking rate at 17.8% compared to 7.1% in Santa clara.
  • More residents engage in binge drinking in Panama city beach at 18.0% compared to 13.9% in Santa clara.
  • Panama city beach has higher obesity rates at 27.3% compared to 18.6% in Santa clara.
  • There is a higher percentage of disabled individuals in Panama city beach at 12.0% compared to 7.0% in Santa clara.

Education Levels

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

Education Level Santa clara Panama city beach
No Schooling 0.9% (1,134) 1.4% (262)
High School Diploma 7.3% (9,232) 12.8% (2,447)
Less than High School 7.1% (8,967) 10.0% (1,899)
Bachelor's Degree and Higher 46.5% (58,962) 24.6% (4,680)

Education Levels Comparison: Santa clara vs Panama city beach

  • In Panama city beach, a larger percentage of residents lack formal schooling at 1.4% compared to 0.9% in Santa clara.
  • In Panama city beach, the rate of residents with high school diplomas is higher at 12.8% compared to 7.3% in Santa clara.
  • The percentage of residents with less than a high school education is higher in Panama city beach at 10.0%, compared to 7.1% in Santa clara.
  • A higher percentage of residents in Santa clara hold a bachelor's degree or higher at 46.5% compared to 24.6% in Panama city beach.

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.