Demographics details for Woodland, PA vs Union springs, AL

Population Overview

Compare main population characteristics in Woodland, PA vs Union springs, AL.

Data Woodland Union springs
Population 185 3,242
Median Age 36.0 years 28.1 years
Median Income $55,000 $24,921
Married Families 30.0% 17.0%
Poverty Level 10% 25%
Unemployment Rate 5.0 5.2

Population Comparison: Woodland vs Union springs

  • The population in Union springs is higher at 3,242, compared to 185 in Woodland.
  • Residents in Woodland have a higher median age of 36.0 years compared to 28.1 years in Union springs.
  • Woodland has a higher median income of $55,000 compared to $24,921 in Union springs.
  • A higher percentage of married families is found in Woodland at 30.0% compared to 17.0% in Union springs.
  • The poverty level is higher in Union springs at 25%, compared to 10% in Woodland.
  • Union springs has a higher unemployment rate at 5.2% compared to 5.0% in Woodland.

Demographics

Demographics Woodland vs Union springs provide insight into the diversity of the communities to compare.

Demographic Woodland Union springs
Black 3 69
White 92 4
Asian 2 1
Hispanic 1 22
Two or More Races 2 4
American Indian Data is updating Data is updating

Demographics Comparison: Woodland vs Union springs

  • In Union springs, the percentage of Black residents is higher at 69% compared to 3% in Woodland.
  • Woodland has a higher percentage of White residents at 92% compared to 4% in Union springs.
  • The Asian population is larger in Woodland at 2% compared to 1% in Union springs.
  • Union springs has a higher percentage of Hispanic residents at 22%, compared to 1% in Woodland.
  • The percentage of residents identifying as two or more races is higher in Union springs at 4%, compared to 2% in Woodland.
  • The percentage of American Indian residents is the same in both Woodland and Union springs at 0%.

Health Statistics

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

Health Metric Woodland Union springs
Mental Health Not Good Data is updating% 21.3%
Physical Health Not Good Data is updating% 16.9%
Depression Data is updating% 20.8%
Smoking Data is updating% 25.5%
Binge Drinking Data is updating% 11.1%
Obesity Data is updating% 49.5%
Disability Percentage Data is updating% 15.0%

Health Statistics Comparison: Woodland vs Union springs

  • In Union springs, a higher percentage report poor mental health at 21.3% compared to 0.0% in Woodland.
  • Higher depression rates are seen in Union springs at 20.8% versus 0.0% in Woodland.
  • Union springs has a higher smoking rate at 25.5% compared to 0.0% in Woodland.
  • More residents engage in binge drinking in Union springs at 11.1% compared to 0.0% in Woodland.
  • Union springs has higher obesity rates at 49.5% compared to 0.0% in Woodland.
  • There is a higher percentage of disabled individuals in Union springs at 15.0% 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 Woodland Union springs
No Schooling 0.0% (Data is updating) 3.6% (117)
High School Diploma 0.0% (Data is updating) 15.1% (489)
Less than High School 0.0% (Data is updating) 33.7% (1,092)
Bachelor's Degree and Higher 0.0% (Data is updating) 7.3% (237)

Education Levels Comparison: Woodland vs Union springs

  • In Union springs, a larger percentage of residents lack formal schooling at 3.6% compared to 0.0% in Woodland.
  • In Union springs, the rate of residents with high school diplomas is higher at 15.1% compared to 0.0% in Woodland.
  • The percentage of residents with less than a high school education is higher in Union springs at 33.7%, compared to 0.0% in Woodland.
  • In Union springs, a larger share of residents have a bachelor's degree or higher at 7.3% 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.