Demographics details for Eglon, WV vs Sugar grove, PA

Population Overview

Compare main population characteristics in Eglon, WV vs Sugar grove, PA.

Data Eglon Sugar grove
Population 100 546
Median Age 45.0 years 42.2 years
Median Income $60,000 $68,056
Married Families 70.0% 53.0%
Poverty Level 10% 8%
Unemployment Rate 5.0 4.2

Population Comparison: Eglon vs Sugar grove

  • The population in Sugar grove is higher at 546, compared to 100 in Eglon.
  • Residents in Eglon have a higher median age of 45.0 years compared to 42.2 years in Sugar grove.
  • Sugar grove has a higher median income of $68,056, compared to $60,000 in Eglon.
  • A higher percentage of married families is found in Eglon at 70.0% compared to 53.0% in Sugar grove.
  • Eglon has a higher poverty level at 10% compared to 8% in Sugar grove.
  • The unemployment rate in Eglon is higher at 5.0%, compared to 4.2% in Sugar grove.

Demographics

Demographics Eglon vs Sugar grove provide insight into the diversity of the communities to compare.

Demographic Eglon Sugar grove
Black Data is updating 1
White 95 79
Asian 2 Data is updating
Hispanic 1 6
Two or More Races 2 14
American Indian Data is updating Data is updating

Demographics Comparison: Eglon vs Sugar grove

  • In Sugar grove, the percentage of Black residents is higher at 1% compared to 0% in Eglon.
  • Eglon has a higher percentage of White residents at 95% compared to 79% in Sugar grove.
  • The Asian population is larger in Eglon at 2% compared to 0% in Sugar grove.
  • Sugar grove has a higher percentage of Hispanic residents at 6%, compared to 1% in Eglon.
  • The percentage of residents identifying as two or more races is higher in Sugar grove at 14%, compared to 2% in Eglon.
  • The percentage of American Indian residents is the same in both Eglon and Sugar grove at 0%.

Health Statistics

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

Health Metric Eglon Sugar grove
Mental Health Not Good Data is updating% 18.3%
Physical Health Not Good Data is updating% 13.2%
Depression Data is updating% 23.5%
Smoking Data is updating% 22.8%
Binge Drinking Data is updating% 18.2%
Obesity Data is updating% 38.8%
Disability Percentage Data is updating% 10.0%

Health Statistics Comparison: Eglon vs Sugar grove

  • In Sugar grove, a higher percentage report poor mental health at 18.3% compared to 0.0% in Eglon.
  • Higher depression rates are seen in Sugar grove at 23.5% versus 0.0% in Eglon.
  • Sugar grove has a higher smoking rate at 22.8% compared to 0.0% in Eglon.
  • More residents engage in binge drinking in Sugar grove at 18.2% compared to 0.0% in Eglon.
  • Sugar grove has higher obesity rates at 38.8% compared to 0.0% in Eglon.
  • There is a higher percentage of disabled individuals in Sugar grove at 10.0% compared to 0.0% in Eglon.

Education Levels

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

Education Level Eglon Sugar grove
No Schooling 0.0% (Data is updating) 1.5% (8)
High School Diploma 0.0% (Data is updating) 28.2% (154)
Less than High School 0.0% (Data is updating) 6.2% (34)
Bachelor's Degree and Higher 0.0% (Data is updating) 13.0% (71)

Education Levels Comparison: Eglon vs Sugar grove

  • In Sugar grove, a larger percentage of residents lack formal schooling at 1.5% compared to 0.0% in Eglon.
  • In Sugar grove, the rate of residents with high school diplomas is higher at 28.2% compared to 0.0% in Eglon.
  • The percentage of residents with less than a high school education is higher in Sugar grove at 6.2%, compared to 0.0% in Eglon.
  • In Sugar grove, a larger share of residents have a bachelor's degree or higher at 13.0% compared to 0.0% in Eglon.

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.