Demographics details for Sugar land, TX vs Willingboro, NJ

Population Overview

Compare main population characteristics in Sugar land, TX vs Willingboro, NJ.

Data Sugar land Willingboro
Population 109,414 31,846
Median Age 42.5 years 38.8 years
Median Income $132,247 $88,516
Married Families 52.0% 34.0%
Poverty Level 6% 8%
Unemployment Rate 4.0 5.1

Population Comparison: Sugar land vs Willingboro

  • In Sugar land, the population is higher at 109,414, compared to 31,846 in Willingboro.
  • Residents in Sugar land have a higher median age of 42.5 years compared to 38.8 years in Willingboro.
  • Sugar land has a higher median income of $132,247 compared to $88,516 in Willingboro.
  • A higher percentage of married families is found in Sugar land at 52.0% compared to 34.0% in Willingboro.
  • The poverty level is higher in Willingboro at 8%, compared to 6% in Sugar land.
  • Willingboro has a higher unemployment rate at 5.1% compared to 4.0% in Sugar land.

Demographics

Demographics Sugar land vs Willingboro provide insight into the diversity of the communities to compare.

Demographic Sugar land Willingboro
Black 7 66
White 33 4
Asian 39 1
Hispanic 13 15
Two or More Races 8 13
American Indian Data is updating 1

Demographics Comparison: Sugar land vs Willingboro

  • In Willingboro, the percentage of Black residents is higher at 66% compared to 7% in Sugar land.
  • Sugar land has a higher percentage of White residents at 33% compared to 4% in Willingboro.
  • The Asian population is larger in Sugar land at 39% compared to 1% in Willingboro.
  • Willingboro has a higher percentage of Hispanic residents at 15%, compared to 13% in Sugar land.
  • The percentage of residents identifying as two or more races is higher in Willingboro at 13%, compared to 8% in Sugar land.
  • In Willingboro, the percentage of American Indian residents is higher at 1%, compared to 0% in Sugar land.

Health Statistics

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

Health Metric Sugar land Willingboro
Mental Health Not Good 12.5% Data is updating%
Physical Health Not Good 7.4% Data is updating%
Depression 16.9% Data is updating%
Smoking 9.6% Data is updating%
Binge Drinking 16.0% Data is updating%
Obesity 25.0% Data is updating%
Disability Percentage 7.0% 16.0%

Health Statistics Comparison: Sugar land vs Willingboro

  • More residents in Sugar land report poor mental health at 12.5% compared to 0.0% in Willingboro.
  • Depression is more prevalent in Sugar land at 16.9% compared to 0.0% in Willingboro.
  • Smoking is more prevalent in Sugar land at 9.6% compared to 0.0% in Willingboro.
  • Binge drinking is more common in Sugar land at 16.0% compared to 0.0% in Willingboro.
  • Obesity rates are higher in Sugar land at 25.0% compared to 0.0% in Willingboro.
  • There is a higher percentage of disabled individuals in Willingboro at 16.0% compared to 7.0% in Sugar land.

Education Levels

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

Education Level Sugar land Willingboro
No Schooling 1.2% (1,314) 0.5% (160)
High School Diploma 7.3% (7,972) 20.7% (6,594)
Less than High School 4.3% (4,753) 6.6% (2,094)
Bachelor's Degree and Higher 42.8% (46,851) 18.4% (5,856)

Education Levels Comparison: Sugar land vs Willingboro

  • A higher percentage of residents in Sugar land have no formal schooling at 1.2% compared to 0.5% in Willingboro.
  • In Willingboro, the rate of residents with high school diplomas is higher at 20.7% compared to 7.3% in Sugar land.
  • The percentage of residents with less than a high school education is higher in Willingboro at 6.6%, compared to 4.3% in Sugar land.
  • A higher percentage of residents in Sugar land hold a bachelor's degree or higher at 42.8% compared to 18.4% in Willingboro.

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.