Demographics details for Old forge, NY vs Big springs, NE

Population Overview

Compare main population characteristics in Old forge, NY vs Big springs, NE.

Data Old forge Big springs
Population 756 408
Median Age 45.0 years 53.5 years
Median Income $60,000 $65,694
Married Families 55.0% 55.0%
Poverty Level 12% 10%
Unemployment Rate 4.5 3.5

Population Comparison: Old forge vs Big springs

  • In Old forge, the population is higher at 756, compared to 408 in Big springs.
  • The median age in Big springs is higher at 53.5 years, compared to 45.0 years in Old forge.
  • Big springs has a higher median income of $65,694, compared to $60,000 in Old forge.
  • The percentage of married families is the same in both Old forge and Big springs at 55.0%.
  • Old forge has a higher poverty level at 12% compared to 10% in Big springs.
  • The unemployment rate in Old forge is higher at 4.5%, compared to 3.5% in Big springs.

Demographics

Demographics Old forge vs Big springs provide insight into the diversity of the communities to compare.

Demographic Old forge Big springs
Black Data is updating Data is updating
White 98 75
Asian 1 Data is updating
Hispanic 1 15
Two or More Races Data is updating 7
American Indian Data is updating 3

Demographics Comparison: Old forge vs Big springs

  • The percentage of Black residents is the same in both Old forge and Big springs at 0%.
  • Old forge has a higher percentage of White residents at 98% compared to 75% in Big springs.
  • The Asian population is larger in Old forge at 1% compared to 0% in Big springs.
  • Big springs has a higher percentage of Hispanic residents at 15%, compared to 1% in Old forge.
  • The percentage of residents identifying as two or more races is higher in Big springs at 7%, compared to 0% in Old forge.
  • In Big springs, the percentage of American Indian residents is higher at 3%, compared to 0% in Old forge.

Health Statistics

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

Health Metric Old forge Big springs
Mental Health Not Good Data is updating% 14.4%
Physical Health Not Good Data is updating% 9.9%
Depression Data is updating% 17.8%
Smoking Data is updating% 17.0%
Binge Drinking Data is updating% 21.1%
Obesity Data is updating% 39.5%
Disability Percentage Data is updating% 18.0%

Health Statistics Comparison: Old forge vs Big springs

  • In Big springs, a higher percentage report poor mental health at 14.4% compared to 0.0% in Old forge.
  • Higher depression rates are seen in Big springs at 17.8% versus 0.0% in Old forge.
  • Big springs has a higher smoking rate at 17.0% compared to 0.0% in Old forge.
  • More residents engage in binge drinking in Big springs at 21.1% compared to 0.0% in Old forge.
  • Big springs has higher obesity rates at 39.5% compared to 0.0% in Old forge.
  • There is a higher percentage of disabled individuals in Big springs at 18.0% compared to 0.0% in Old forge.

Education Levels

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

Education Level Old forge Big springs
No Schooling 0.0% (Data is updating) 0.7% (3)
High School Diploma 0.0% (Data is updating) 19.4% (79)
Less than High School 0.0% (Data is updating) 22.1% (90)
Bachelor's Degree and Higher 0.0% (Data is updating) 16.7% (68)

Education Levels Comparison: Old forge vs Big springs

  • In Big springs, a larger percentage of residents lack formal schooling at 0.7% compared to 0.0% in Old forge.
  • In Big springs, the rate of residents with high school diplomas is higher at 19.4% compared to 0.0% in Old forge.
  • The percentage of residents with less than a high school education is higher in Big springs at 22.1%, compared to 0.0% in Old forge.
  • In Big springs, a larger share of residents have a bachelor's degree or higher at 16.7% compared to 0.0% in Old forge.

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.