Demographics details for Old forge, NY vs Kingman, AZ

Population Overview

Compare main population characteristics in Old forge, NY vs Kingman, AZ.

Data Old forge Kingman
Population 756 34,918
Median Age 45.0 years 42.1 years
Median Income $60,000 $56,360
Married Families 55.0% 37.0%
Poverty Level 12% 12%
Unemployment Rate 4.5 4.2

Population Comparison: Old forge vs Kingman

  • The population in Kingman is higher at 34,918, compared to 756 in Old forge.
  • Residents in Old forge have a higher median age of 45.0 years compared to 42.1 years in Kingman.
  • Old forge has a higher median income of $60,000 compared to $56,360 in Kingman.
  • A higher percentage of married families is found in Old forge at 55.0% compared to 37.0% in Kingman.
  • The poverty level is identical in both Old forge and Kingman at 12%.
  • The unemployment rate in Old forge is higher at 4.5%, compared to 4.2% in Kingman.

Demographics

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

Demographic Old forge Kingman
Black Data is updating 2
White 98 72
Asian 1 2
Hispanic 1 16
Two or More Races Data is updating 7
American Indian Data is updating 1

Demographics Comparison: Old forge vs Kingman

  • In Kingman, the percentage of Black residents is higher at 2% compared to 0% in Old forge.
  • Old forge has a higher percentage of White residents at 98% compared to 72% in Kingman.
  • In Kingman, the Asian population stands at 2%, greater than 1% in Old forge.
  • Kingman has a higher percentage of Hispanic residents at 16%, compared to 1% in Old forge.
  • The percentage of residents identifying as two or more races is higher in Kingman at 7%, compared to 0% in Old forge.
  • In Kingman, the percentage of American Indian residents is higher at 1%, compared to 0% in Old forge.

Health Statistics

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

Health Metric Old forge Kingman
Mental Health Not Good Data is updating% 18.2%
Physical Health Not Good Data is updating% 12.4%
Depression Data is updating% 21.2%
Smoking Data is updating% 19.1%
Binge Drinking Data is updating% 18.5%
Obesity Data is updating% 34.5%
Disability Percentage Data is updating% 18.0%

Health Statistics Comparison: Old forge vs Kingman

  • In Kingman, a higher percentage report poor mental health at 18.2% compared to 0.0% in Old forge.
  • Higher depression rates are seen in Kingman at 21.2% versus 0.0% in Old forge.
  • Kingman has a higher smoking rate at 19.1% compared to 0.0% in Old forge.
  • More residents engage in binge drinking in Kingman at 18.5% compared to 0.0% in Old forge.
  • Kingman has higher obesity rates at 34.5% compared to 0.0% in Old forge.
  • There is a higher percentage of disabled individuals in Kingman 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 Kingman
No Schooling 0.0% (Data is updating) 0.8% (266)
High School Diploma 0.0% (Data is updating) 15.7% (5,487)
Less than High School 0.0% (Data is updating) 13.6% (4,744)
Bachelor's Degree and Higher 0.0% (Data is updating) 13.7% (4,777)

Education Levels Comparison: Old forge vs Kingman

  • In Kingman, a larger percentage of residents lack formal schooling at 0.8% compared to 0.0% in Old forge.
  • In Kingman, the rate of residents with high school diplomas is higher at 15.7% compared to 0.0% in Old forge.
  • The percentage of residents with less than a high school education is higher in Kingman at 13.6%, compared to 0.0% in Old forge.
  • In Kingman, a larger share of residents have a bachelor's degree or higher at 13.7% 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.