Demographics details for Livermore, ME vs Tionesta, PA

Population Overview

Compare main population characteristics in Livermore, ME vs Tionesta, PA.

Data Livermore Tionesta
Population 2,120 422
Median Age 45.0 years 62.2 years
Median Income $55,000 $44,583
Married Families 60.0% 38.0%
Poverty Level 12% 10%
Unemployment Rate 3.3 3.5

Population Comparison: Livermore vs Tionesta

  • In Livermore, the population is higher at 2,120, compared to 422 in Tionesta.
  • The median age in Tionesta is higher at 62.2 years, compared to 45.0 years in Livermore.
  • Livermore has a higher median income of $55,000 compared to $44,583 in Tionesta.
  • A higher percentage of married families is found in Livermore at 60.0% compared to 38.0% in Tionesta.
  • Livermore has a higher poverty level at 12% compared to 10% in Tionesta.
  • Tionesta has a higher unemployment rate at 3.5% compared to 3.3% in Livermore.

Demographics

Demographics Livermore vs Tionesta provide insight into the diversity of the communities to compare.

Demographic Livermore Tionesta
Black 1 Data is updating
White 97 100
Asian 1 Data is updating
Hispanic 1 Data is updating
Two or More Races Data is updating Data is updating
American Indian Data is updating Data is updating

Demographics Comparison: Livermore vs Tionesta

  • A higher percentage of Black residents are in Livermore at 1% compared to 0% in Tionesta.
  • The percentage of White residents is higher in Tionesta at 100% compared to 97% in Livermore.
  • The Asian population is larger in Livermore at 1% compared to 0% in Tionesta.
  • The Hispanic community is larger in Livermore at 1% compared to 0% in Tionesta.
  • Both Livermore and Tionesta have the same percentage of residents identifying as two or more races at 0%.
  • The percentage of American Indian residents is the same in both Livermore and Tionesta at 0%.

Health Statistics

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

Health Metric Livermore Tionesta
Mental Health Not Good Data is updating% 18.8%
Physical Health Not Good Data is updating% 13.2%
Depression Data is updating% 25.3%
Smoking Data is updating% 22.7%
Binge Drinking Data is updating% 17.4%
Obesity Data is updating% 37.8%
Disability Percentage Data is updating% 37.0%

Health Statistics Comparison: Livermore vs Tionesta

  • In Tionesta, a higher percentage report poor mental health at 18.8% compared to 0.0% in Livermore.
  • Higher depression rates are seen in Tionesta at 25.3% versus 0.0% in Livermore.
  • Tionesta has a higher smoking rate at 22.7% compared to 0.0% in Livermore.
  • More residents engage in binge drinking in Tionesta at 17.4% compared to 0.0% in Livermore.
  • Tionesta has higher obesity rates at 37.8% compared to 0.0% in Livermore.
  • There is a higher percentage of disabled individuals in Tionesta at 37.0% compared to 0.0% in Livermore.

Education Levels

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

Education Level Livermore Tionesta
No Schooling 0.0% (Data is updating) 0.0% (Data is updating)
High School Diploma 0.0% (Data is updating) 43.1% (182)
Less than High School 0.0% (Data is updating) 7.1% (30)
Bachelor's Degree and Higher 0.0% (Data is updating) 11.1% (47)

Education Levels Comparison: Livermore vs Tionesta

  • The percentage of residents with no formal schooling is the same in both Livermore and Tionesta at 0.0%.
  • In Tionesta, the rate of residents with high school diplomas is higher at 43.1% compared to 0.0% in Livermore.
  • The percentage of residents with less than a high school education is higher in Tionesta at 7.1%, compared to 0.0% in Livermore.
  • In Tionesta, a larger share of residents have a bachelor's degree or higher at 11.1% compared to 0.0% in Livermore.

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.