Demographics details for Ocean city, NJ vs Wichita falls, TX

Population Overview

Compare main population characteristics in Ocean city, NJ vs Wichita falls, TX.

Data Ocean city Wichita falls
Population 11,303 102,664
Median Age 56.9 years 32.8 years
Median Income $98,576 $55,584
Married Families 53.0% 34.0%
Poverty Level Data is updating 14%
Unemployment Rate 3.2 4.9

Population Comparison: Ocean city vs Wichita falls

  • The population in Wichita falls is higher at 102,664, compared to 11,303 in Ocean city.
  • Residents in Ocean city have a higher median age of 56.9 years compared to 32.8 years in Wichita falls.
  • Ocean city has a higher median income of $98,576 compared to $55,584 in Wichita falls.
  • A higher percentage of married families is found in Ocean city at 53.0% compared to 34.0% in Wichita falls.
  • The poverty level is higher in Wichita falls at 14%, compared to 0% in Ocean city.
  • Wichita falls has a higher unemployment rate at 4.9% compared to 3.2% in Ocean city.

Demographics

Demographics Ocean city vs Wichita falls provide insight into the diversity of the communities to compare.

Demographic Ocean city Wichita falls
Black 3 12
White 86 54
Asian Data is updating 3
Hispanic 8 22
Two or More Races 3 8
American Indian Data is updating 1

Demographics Comparison: Ocean city vs Wichita falls

  • In Wichita falls, the percentage of Black residents is higher at 12% compared to 3% in Ocean city.
  • Ocean city has a higher percentage of White residents at 86% compared to 54% in Wichita falls.
  • In Wichita falls, the Asian population stands at 3%, greater than 0% in Ocean city.
  • Wichita falls has a higher percentage of Hispanic residents at 22%, compared to 8% in Ocean city.
  • The percentage of residents identifying as two or more races is higher in Wichita falls at 8%, compared to 3% in Ocean city.
  • In Wichita falls, the percentage of American Indian residents is higher at 1%, compared to 0% in Ocean city.

Health Statistics

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

Health Metric Ocean city Wichita falls
Mental Health Not Good 14.0% 18.3%
Physical Health Not Good 8.7% 12.5%
Depression 21.8% 24.6%
Smoking 11.9% 18.6%
Binge Drinking 20.3% 18.7%
Obesity 29.8% 37.1%
Disability Percentage 14.0% 13.0%

Health Statistics Comparison: Ocean city vs Wichita falls

  • In Wichita falls, a higher percentage report poor mental health at 18.3% compared to 14.0% in Ocean city.
  • Higher depression rates are seen in Wichita falls at 24.6% versus 21.8% in Ocean city.
  • Wichita falls has a higher smoking rate at 18.6% compared to 11.9% in Ocean city.
  • Binge drinking is more common in Ocean city at 20.3% compared to 18.7% in Wichita falls.
  • Wichita falls has higher obesity rates at 37.1% compared to 29.8% in Ocean city.
  • Disability percentages are higher in Ocean city at 14.0% compared to 13.0% in Wichita falls.

Education Levels

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

Education Level Ocean city Wichita falls
No Schooling 0.4% (50) 1.0% (1,035)
High School Diploma 16.9% (1,907) 15.1% (15,510)
Less than High School 6.0% (676) 14.6% (14,970)
Bachelor's Degree and Higher 43.6% (4,926) 15.1% (15,550)

Education Levels Comparison: Ocean city vs Wichita falls

  • In Wichita falls, a larger percentage of residents lack formal schooling at 1.0% compared to 0.4% in Ocean city.
  • A higher percentage of residents in Ocean city hold a high school diploma at 16.9% compared to 15.1% in Wichita falls.
  • The percentage of residents with less than a high school education is higher in Wichita falls at 14.6%, compared to 6.0% in Ocean city.
  • A higher percentage of residents in Ocean city hold a bachelor's degree or higher at 43.6% compared to 15.1% in Wichita falls.

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.