Demographics details for Wilmington, NC vs Fishing creek, MD

Population Overview

Compare main population characteristics in Wilmington, NC vs Fishing creek, MD.

Data Wilmington Fishing creek
Population 120,324 235
Median Age 37.6 years 55.9 years
Median Income $58,908 $76,250
Married Families 32.0% 58.0%
Poverty Level 12% Data is updating
Unemployment Rate 3.7 3.5

Population Comparison: Wilmington vs Fishing creek

  • In Wilmington, the population is higher at 120,324, compared to 235 in Fishing creek.
  • The median age in Fishing creek is higher at 55.9 years, compared to 37.6 years in Wilmington.
  • Fishing creek has a higher median income of $76,250, compared to $58,908 in Wilmington.
  • In Fishing creek, the percentage of married families is higher at 58.0%, compared to 32.0% in Wilmington.
  • Wilmington has a higher poverty level at 12% compared to 0% in Fishing creek.
  • The unemployment rate in Wilmington is higher at 3.7%, compared to 3.5% in Fishing creek.

Demographics

Demographics Wilmington vs Fishing creek provide insight into the diversity of the communities to compare.

Demographic Wilmington Fishing creek
Black 16 Data is updating
White 71 100
Asian 1 Data is updating
Hispanic 7 Data is updating
Two or More Races 5 Data is updating
American Indian Data is updating Data is updating

Demographics Comparison: Wilmington vs Fishing creek

  • A higher percentage of Black residents are in Wilmington at 16% compared to 0% in Fishing creek.
  • The percentage of White residents is higher in Fishing creek at 100% compared to 71% in Wilmington.
  • The Asian population is larger in Wilmington at 1% compared to 0% in Fishing creek.
  • The Hispanic community is larger in Wilmington at 7% compared to 0% in Fishing creek.
  • More residents identify as two or more races in Wilmington at 5% compared to 0% in Fishing creek.
  • The percentage of American Indian residents is the same in both Wilmington and Fishing creek at 0%.

Health Statistics

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

Health Metric Wilmington Fishing creek
Mental Health Not Good 16.9% 15.3%
Physical Health Not Good 11.0% 9.6%
Depression 25.0% 21.2%
Smoking 16.5% 15.1%
Binge Drinking 18.5% 16.8%
Obesity 33.2% 33.1%
Disability Percentage 12.0% 28.0%

Health Statistics Comparison: Wilmington vs Fishing creek

  • More residents in Wilmington report poor mental health at 16.9% compared to 15.3% in Fishing creek.
  • Depression is more prevalent in Wilmington at 25.0% compared to 21.2% in Fishing creek.
  • Smoking is more prevalent in Wilmington at 16.5% compared to 15.1% in Fishing creek.
  • Binge drinking is more common in Wilmington at 18.5% compared to 16.8% in Fishing creek.
  • Obesity rates are higher in Wilmington at 33.2% compared to 33.1% in Fishing creek.
  • There is a higher percentage of disabled individuals in Fishing creek at 28.0% compared to 12.0% in Wilmington.

Education Levels

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

Education Level Wilmington Fishing creek
No Schooling 0.5% (560) 0.0% (Data is updating)
High School Diploma 10.5% (12,679) 34.5% (81)
Less than High School 7.1% (8,513) 0.0% (Data is updating)
Bachelor's Degree and Higher 28.5% (34,319) 16.2% (38)

Education Levels Comparison: Wilmington vs Fishing creek

  • A higher percentage of residents in Wilmington have no formal schooling at 0.5% compared to 0.0% in Fishing creek.
  • In Fishing creek, the rate of residents with high school diplomas is higher at 34.5% compared to 10.5% in Wilmington.
  • More residents in Wilmington have less than a high school education at 7.1% compared to 0.0% in Fishing creek.
  • A higher percentage of residents in Wilmington hold a bachelor's degree or higher at 28.5% compared to 16.2% in Fishing creek.

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.