Demographics details for Sugar grove, PA vs West columbia, SC

Population Overview

Compare main population characteristics in Sugar grove, PA vs West columbia, SC.

Data Sugar grove West columbia
Population 546 17,618
Median Age 42.2 years 37.3 years
Median Income $68,056 $52,648
Married Families 53.0% 32.0%
Poverty Level 8% 9%
Unemployment Rate 4.2 3.7

Population Comparison: Sugar grove vs West columbia

  • The population in West columbia is higher at 17,618, compared to 546 in Sugar grove.
  • Residents in Sugar grove have a higher median age of 42.2 years compared to 37.3 years in West columbia.
  • Sugar grove has a higher median income of $68,056 compared to $52,648 in West columbia.
  • A higher percentage of married families is found in Sugar grove at 53.0% compared to 32.0% in West columbia.
  • The poverty level is higher in West columbia at 9%, compared to 8% in Sugar grove.
  • The unemployment rate in Sugar grove is higher at 4.2%, compared to 3.7% in West columbia.

Demographics

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

Demographic Sugar grove West columbia
Black 1 18
White 79 59
Asian Data is updating 3
Hispanic 6 11
Two or More Races 14 9
American Indian Data is updating Data is updating

Demographics Comparison: Sugar grove vs West columbia

  • In West columbia, the percentage of Black residents is higher at 18% compared to 1% in Sugar grove.
  • Sugar grove has a higher percentage of White residents at 79% compared to 59% in West columbia.
  • In West columbia, the Asian population stands at 3%, greater than 0% in Sugar grove.
  • West columbia has a higher percentage of Hispanic residents at 11%, compared to 6% in Sugar grove.
  • More residents identify as two or more races in Sugar grove at 14% compared to 9% in West columbia.
  • The percentage of American Indian residents is the same in both Sugar grove and West columbia at 0%.

Health Statistics

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

Health Metric Sugar grove West columbia
Mental Health Not Good 18.3% 18.8%
Physical Health Not Good 13.2% 12.6%
Depression 23.5% 23.3%
Smoking 22.8% 19.0%
Binge Drinking 18.2% 16.6%
Obesity 38.8% 40.2%
Disability Percentage 10.0% 15.0%

Health Statistics Comparison: Sugar grove vs West columbia

  • In West columbia, a higher percentage report poor mental health at 18.8% compared to 18.3% in Sugar grove.
  • Depression is more prevalent in Sugar grove at 23.5% compared to 23.3% in West columbia.
  • Smoking is more prevalent in Sugar grove at 22.8% compared to 19.0% in West columbia.
  • Binge drinking is more common in Sugar grove at 18.2% compared to 16.6% in West columbia.
  • West columbia has higher obesity rates at 40.2% compared to 38.8% in Sugar grove.
  • There is a higher percentage of disabled individuals in West columbia at 15.0% compared to 10.0% in Sugar grove.

Education Levels

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

Education Level Sugar grove West columbia
No Schooling 1.5% (8) 0.4% (77)
High School Diploma 28.2% (154) 16.4% (2,891)
Less than High School 6.2% (34) 12.4% (2,185)
Bachelor's Degree and Higher 13.0% (71) 26.1% (4,593)

Education Levels Comparison: Sugar grove vs West columbia

  • A higher percentage of residents in Sugar grove have no formal schooling at 1.5% compared to 0.4% in West columbia.
  • A higher percentage of residents in Sugar grove hold a high school diploma at 28.2% compared to 16.4% in West columbia.
  • The percentage of residents with less than a high school education is higher in West columbia at 12.4%, compared to 6.2% in Sugar grove.
  • In West columbia, a larger share of residents have a bachelor's degree or higher at 26.1% compared to 13.0% in Sugar grove.

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.