Demographics details for Vineland, NJ vs Panama city beach, FL

Population Overview

Compare main population characteristics in Vineland, NJ vs Panama city beach, FL.

Data Vineland Panama city beach
Population 60,491 19,056
Median Age 38.6 years 45.3 years
Median Income $63,468 $76,091
Married Families 35.0% 42.0%
Poverty Level 11% 10%
Unemployment Rate 6.1 4.1

Population Comparison: Vineland vs Panama city beach

  • In Vineland, the population is higher at 60,491, compared to 19,056 in Panama city beach.
  • The median age in Panama city beach is higher at 45.3 years, compared to 38.6 years in Vineland.
  • Panama city beach has a higher median income of $76,091, compared to $63,468 in Vineland.
  • In Panama city beach, the percentage of married families is higher at 42.0%, compared to 35.0% in Vineland.
  • Vineland has a higher poverty level at 11% compared to 10% in Panama city beach.
  • The unemployment rate in Vineland is higher at 6.1%, compared to 4.1% in Panama city beach.

Demographics

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

Demographic Vineland Panama city beach
Black 14 8
White 27 77
Asian 2 1
Hispanic 43 8
Two or More Races 13 5
American Indian 1 1

Demographics Comparison: Vineland vs Panama city beach

  • A higher percentage of Black residents are in Vineland at 14% compared to 8% in Panama city beach.
  • The percentage of White residents is higher in Panama city beach at 77% compared to 27% in Vineland.
  • The Asian population is larger in Vineland at 2% compared to 1% in Panama city beach.
  • The Hispanic community is larger in Vineland at 43% compared to 8% in Panama city beach.
  • More residents identify as two or more races in Vineland at 13% compared to 5% in Panama city beach.
  • The percentage of American Indian residents is the same in both Vineland and Panama city beach at 1%.

Health Statistics

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

Health Metric Vineland Panama city beach
Mental Health Not Good 17.0% 15.6%
Physical Health Not Good 13.2% 9.7%
Depression 21.0% 20.9%
Smoking 18.1% 17.8%
Binge Drinking 17.1% 18.0%
Obesity 37.7% 27.3%
Disability Percentage 16.0% 12.0%

Health Statistics Comparison: Vineland vs Panama city beach

  • More residents in Vineland report poor mental health at 17.0% compared to 15.6% in Panama city beach.
  • Depression is more prevalent in Vineland at 21.0% compared to 20.9% in Panama city beach.
  • Smoking is more prevalent in Vineland at 18.1% compared to 17.8% in Panama city beach.
  • More residents engage in binge drinking in Panama city beach at 18.0% compared to 17.1% in Vineland.
  • Obesity rates are higher in Vineland at 37.7% compared to 27.3% in Panama city beach.
  • Disability percentages are higher in Vineland at 16.0% compared to 12.0% in Panama city beach.

Education Levels

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

Education Level Vineland Panama city beach
No Schooling 2.7% (1,629) 1.4% (262)
High School Diploma 18.5% (11,167) 12.8% (2,447)
Less than High School 24.3% (14,709) 10.0% (1,899)
Bachelor's Degree and Higher 15.1% (9,106) 24.6% (4,680)

Education Levels Comparison: Vineland vs Panama city beach

  • A higher percentage of residents in Vineland have no formal schooling at 2.7% compared to 1.4% in Panama city beach.
  • A higher percentage of residents in Vineland hold a high school diploma at 18.5% compared to 12.8% in Panama city beach.
  • More residents in Vineland have less than a high school education at 24.3% compared to 10.0% in Panama city beach.
  • In Panama city beach, a larger share of residents have a bachelor's degree or higher at 24.6% compared to 15.1% in Vineland.

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.