Demographics details for Prince frederick, MD vs Woodland, PA

Population Overview

Compare main population characteristics in Prince frederick, MD vs Woodland, PA.

Data Prince frederick Woodland
Population 2,491 185
Median Age 38.9 years 36.0 years
Median Income $61,293 $55,000
Married Families 33.0% 30.0%
Poverty Level 6% 10%
Unemployment Rate 3.2 5.0

Population Comparison: Prince frederick vs Woodland

  • In Prince frederick, the population is higher at 2,491, compared to 185 in Woodland.
  • Residents in Prince frederick have a higher median age of 38.9 years compared to 36.0 years in Woodland.
  • Prince frederick has a higher median income of $61,293 compared to $55,000 in Woodland.
  • A higher percentage of married families is found in Prince frederick at 33.0% compared to 30.0% in Woodland.
  • The poverty level is higher in Woodland at 10%, compared to 6% in Prince frederick.
  • Woodland has a higher unemployment rate at 5.0% compared to 3.2% in Prince frederick.

Demographics

Demographics Prince frederick vs Woodland provide insight into the diversity of the communities to compare.

Demographic Prince frederick Woodland
Black 28 3
White 49 92
Asian 2 2
Hispanic 13 1
Two or More Races 8 2
American Indian Data is updating Data is updating

Demographics Comparison: Prince frederick vs Woodland

  • A higher percentage of Black residents are in Prince frederick at 28% compared to 3% in Woodland.
  • The percentage of White residents is higher in Woodland at 92% compared to 49% in Prince frederick.
  • Both Prince frederick and Woodland have the same percentage of Asian residents at 2%.
  • The Hispanic community is larger in Prince frederick at 13% compared to 1% in Woodland.
  • More residents identify as two or more races in Prince frederick at 8% compared to 2% in Woodland.
  • The percentage of American Indian residents is the same in both Prince frederick and Woodland at 0%.

Health Statistics

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

Health Metric Prince frederick Woodland
Mental Health Not Good 16.8% Data is updating%
Physical Health Not Good 10.4% Data is updating%
Depression 19.6% Data is updating%
Smoking 15.6% Data is updating%
Binge Drinking 15.9% Data is updating%
Obesity 38.7% Data is updating%
Disability Percentage 14.0% Data is updating%

Health Statistics Comparison: Prince frederick vs Woodland

  • More residents in Prince frederick report poor mental health at 16.8% compared to 0.0% in Woodland.
  • Depression is more prevalent in Prince frederick at 19.6% compared to 0.0% in Woodland.
  • Smoking is more prevalent in Prince frederick at 15.6% compared to 0.0% in Woodland.
  • Binge drinking is more common in Prince frederick at 15.9% compared to 0.0% in Woodland.
  • Obesity rates are higher in Prince frederick at 38.7% compared to 0.0% in Woodland.
  • Disability percentages are higher in Prince frederick at 14.0% compared to 0.0% in Woodland.

Education Levels

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

Education Level Prince frederick Woodland
No Schooling 0.4% (10) 0.0% (Data is updating)
High School Diploma 19.1% (476) 0.0% (Data is updating)
Less than High School 9.7% (242) 0.0% (Data is updating)
Bachelor's Degree and Higher 14.4% (358) 0.0% (Data is updating)

Education Levels Comparison: Prince frederick vs Woodland

  • A higher percentage of residents in Prince frederick have no formal schooling at 0.4% compared to 0.0% in Woodland.
  • A higher percentage of residents in Prince frederick hold a high school diploma at 19.1% compared to 0.0% in Woodland.
  • More residents in Prince frederick have less than a high school education at 9.7% compared to 0.0% in Woodland.
  • A higher percentage of residents in Prince frederick hold a bachelor's degree or higher at 14.4% compared to 0.0% in Woodland.

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.