Demographics details for East waterford, PA vs Monrovia, MD

Population Overview

Compare main population characteristics in East waterford, PA vs Monrovia, MD.

Data East waterford Monrovia
Population 145 2,980
Median Age 61.4 years 38.9 years
Median Income $56,667 $224,886
Married Families 66.0% 59.0%
Poverty Level 5% 2%
Unemployment Rate 3.2 3.0

Population Comparison: East waterford vs Monrovia

  • The population in Monrovia is higher at 2,980, compared to 145 in East waterford.
  • Residents in East waterford have a higher median age of 61.4 years compared to 38.9 years in Monrovia.
  • Monrovia has a higher median income of $224,886, compared to $56,667 in East waterford.
  • A higher percentage of married families is found in East waterford at 66.0% compared to 59.0% in Monrovia.
  • East waterford has a higher poverty level at 5% compared to 2% in Monrovia.
  • The unemployment rate in East waterford is higher at 3.2%, compared to 3.0% in Monrovia.

Demographics

Demographics East waterford vs Monrovia provide insight into the diversity of the communities to compare.

Demographic East waterford Monrovia
Black Data is updating 26
White 100 37
Asian Data is updating 25
Hispanic Data is updating 4
Two or More Races Data is updating 8
American Indian Data is updating Data is updating

Demographics Comparison: East waterford vs Monrovia

  • In Monrovia, the percentage of Black residents is higher at 26% compared to 0% in East waterford.
  • East waterford has a higher percentage of White residents at 100% compared to 37% in Monrovia.
  • In Monrovia, the Asian population stands at 25%, greater than 0% in East waterford.
  • Monrovia has a higher percentage of Hispanic residents at 4%, compared to 0% in East waterford.
  • The percentage of residents identifying as two or more races is higher in Monrovia at 8%, compared to 0% in East waterford.
  • The percentage of American Indian residents is the same in both East waterford and Monrovia at 0%.

Health Statistics

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

Health Metric East waterford Monrovia
Mental Health Not Good 19.4% 13.9%
Physical Health Not Good 14.2% 7.3%
Depression 25.6% 19.6%
Smoking 25.8% 11.2%
Binge Drinking 17.7% 18.3%
Obesity 38.9% 31.3%
Disability Percentage 12.0% 3.0%

Health Statistics Comparison: East waterford vs Monrovia

  • More residents in East waterford report poor mental health at 19.4% compared to 13.9% in Monrovia.
  • Depression is more prevalent in East waterford at 25.6% compared to 19.6% in Monrovia.
  • Smoking is more prevalent in East waterford at 25.8% compared to 11.2% in Monrovia.
  • More residents engage in binge drinking in Monrovia at 18.3% compared to 17.7% in East waterford.
  • Obesity rates are higher in East waterford at 38.9% compared to 31.3% in Monrovia.
  • Disability percentages are higher in East waterford at 12.0% compared to 3.0% in Monrovia.

Education Levels

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

Education Level East waterford Monrovia
No Schooling 0.0% (Data is updating) 0.6% (18)
High School Diploma 47.6% (69) 5.9% (177)
Less than High School 2.8% (4) 2.0% (60)
Bachelor's Degree and Higher 18.6% (27) 42.0% (1,253)

Education Levels Comparison: East waterford vs Monrovia

  • In Monrovia, a larger percentage of residents lack formal schooling at 0.6% compared to 0.0% in East waterford.
  • A higher percentage of residents in East waterford hold a high school diploma at 47.6% compared to 5.9% in Monrovia.
  • More residents in East waterford have less than a high school education at 2.8% compared to 2.0% in Monrovia.
  • In Monrovia, a larger share of residents have a bachelor's degree or higher at 42.0% compared to 18.6% in East waterford.

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.