Demographics details for Fort leonard wood, MO vs Succasunna, NJ

Population Overview

Compare main population characteristics in Fort leonard wood, MO vs Succasunna, NJ.

Data Fort leonard wood Succasunna
Population 15,615 9,835
Median Age 20.6 years 44.9 years
Median Income $64,890 $162,566
Married Families 25.0% 52.0%
Poverty Level Data is updating 3%
Unemployment Rate 3.1 3.4

Population Comparison: Fort leonard wood vs Succasunna

  • In Fort leonard wood, the population is higher at 15,615, compared to 9,835 in Succasunna.
  • The median age in Succasunna is higher at 44.9 years, compared to 20.6 years in Fort leonard wood.
  • Succasunna has a higher median income of $162,566, compared to $64,890 in Fort leonard wood.
  • In Succasunna, the percentage of married families is higher at 52.0%, compared to 25.0% in Fort leonard wood.
  • The poverty level is higher in Succasunna at 3%, compared to 0% in Fort leonard wood.
  • Succasunna has a higher unemployment rate at 3.4% compared to 3.1% in Fort leonard wood.

Demographics

Demographics Fort leonard wood vs Succasunna provide insight into the diversity of the communities to compare.

Demographic Fort leonard wood Succasunna
Black 18 2
White 35 76
Asian 4 6
Hispanic 24 10
Two or More Races 18 6
American Indian 1 Data is updating

Demographics Comparison: Fort leonard wood vs Succasunna

  • A higher percentage of Black residents are in Fort leonard wood at 18% compared to 2% in Succasunna.
  • The percentage of White residents is higher in Succasunna at 76% compared to 35% in Fort leonard wood.
  • In Succasunna, the Asian population stands at 6%, greater than 4% in Fort leonard wood.
  • The Hispanic community is larger in Fort leonard wood at 24% compared to 10% in Succasunna.
  • More residents identify as two or more races in Fort leonard wood at 18% compared to 6% in Succasunna.
  • A greater percentage of American Indian residents live in Fort leonard wood at 1% compared to 0% in Succasunna.

Health Statistics

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

Health Metric Fort leonard wood Succasunna
Mental Health Not Good 21.1% 13.6%
Physical Health Not Good 6.6% 8.1%
Depression 24.0% 19.6%
Smoking 12.8% 10.8%
Binge Drinking 25.4% 20.3%
Obesity 30.7% 24.5%
Disability Percentage 2.0% 10.0%

Health Statistics Comparison: Fort leonard wood vs Succasunna

  • More residents in Fort leonard wood report poor mental health at 21.1% compared to 13.6% in Succasunna.
  • Depression is more prevalent in Fort leonard wood at 24.0% compared to 19.6% in Succasunna.
  • Smoking is more prevalent in Fort leonard wood at 12.8% compared to 10.8% in Succasunna.
  • Binge drinking is more common in Fort leonard wood at 25.4% compared to 20.3% in Succasunna.
  • Obesity rates are higher in Fort leonard wood at 30.7% compared to 24.5% in Succasunna.
  • There is a higher percentage of disabled individuals in Succasunna at 10.0% compared to 2.0% in Fort leonard wood.

Education Levels

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

Education Level Fort leonard wood Succasunna
No Schooling 0.2% (38) 0.4% (36)
High School Diploma 4.5% (700) 16.8% (1,655)
Less than High School 0.8% (119) 3.4% (331)
Bachelor's Degree and Higher 9.3% (1,457) 35.1% (3,455)

Education Levels Comparison: Fort leonard wood vs Succasunna

  • In Succasunna, a larger percentage of residents lack formal schooling at 0.4% compared to 0.2% in Fort leonard wood.
  • In Succasunna, the rate of residents with high school diplomas is higher at 16.8% compared to 4.5% in Fort leonard wood.
  • The percentage of residents with less than a high school education is higher in Succasunna at 3.4%, compared to 0.8% in Fort leonard wood.
  • In Succasunna, a larger share of residents have a bachelor's degree or higher at 35.1% compared to 9.3% in Fort leonard wood.

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.