Demographics details for Charlotte, NC vs West winfield, NY

Population Overview

Compare main population characteristics in Charlotte, NC vs West winfield, NY.

Data Charlotte West winfield
Population 897,720 741
Median Age 34.5 years 40.1 years
Median Income $74,070 $70,000
Married Families 33.0% 44.0%
Poverty Level 12% 9%
Unemployment Rate 4.0 4.5

Population Comparison: Charlotte vs West winfield

  • In Charlotte, the population is higher at 897,720, compared to 741 in West winfield.
  • The median age in West winfield is higher at 40.1 years, compared to 34.5 years in Charlotte.
  • Charlotte has a higher median income of $74,070 compared to $70,000 in West winfield.
  • In West winfield, the percentage of married families is higher at 44.0%, compared to 33.0% in Charlotte.
  • Charlotte has a higher poverty level at 12% compared to 9% in West winfield.
  • West winfield has a higher unemployment rate at 4.5% compared to 4.0% in Charlotte.

Demographics

Demographics Charlotte vs West winfield provide insight into the diversity of the communities to compare.

Demographic Charlotte West winfield
Black 34 Data is updating
White 38 68
Asian 6 Data is updating
Hispanic 15 15
Two or More Races 7 17
American Indian Data is updating Data is updating

Demographics Comparison: Charlotte vs West winfield

  • A higher percentage of Black residents are in Charlotte at 34% compared to 0% in West winfield.
  • The percentage of White residents is higher in West winfield at 68% compared to 38% in Charlotte.
  • The Asian population is larger in Charlotte at 6% compared to 0% in West winfield.
  • The percentage of Hispanic residents is the same in both Charlotte and West winfield at 15%.
  • The percentage of residents identifying as two or more races is higher in West winfield at 17%, compared to 7% in Charlotte.
  • The percentage of American Indian residents is the same in both Charlotte and West winfield at 0%.

Health Statistics

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

Health Metric Charlotte West winfield
Mental Health Not Good 14.7% 17.2%
Physical Health Not Good 10.1% 11.4%
Depression 20.1% 25.1%
Smoking 13.9% 20.9%
Binge Drinking 17.5% 20.6%
Obesity 34.7% 33.5%
Disability Percentage 8.0% 14.0%

Health Statistics Comparison: Charlotte vs West winfield

  • In West winfield, a higher percentage report poor mental health at 17.2% compared to 14.7% in Charlotte.
  • Higher depression rates are seen in West winfield at 25.1% versus 20.1% in Charlotte.
  • West winfield has a higher smoking rate at 20.9% compared to 13.9% in Charlotte.
  • More residents engage in binge drinking in West winfield at 20.6% compared to 17.5% in Charlotte.
  • Obesity rates are higher in Charlotte at 34.7% compared to 33.5% in West winfield.
  • There is a higher percentage of disabled individuals in West winfield at 14.0% compared to 8.0% in Charlotte.

Education Levels

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

Education Level Charlotte West winfield
No Schooling 1.2% (10,429) 1.1% (8)
High School Diploma 9.4% (84,002) 27.7% (205)
Less than High School 10.7% (95,990) 13.2% (98)
Bachelor's Degree and Higher 30.6% (274,311) 17.1% (127)

Education Levels Comparison: Charlotte vs West winfield

  • A higher percentage of residents in Charlotte have no formal schooling at 1.2% compared to 1.1% in West winfield.
  • In West winfield, the rate of residents with high school diplomas is higher at 27.7% compared to 9.4% in Charlotte.
  • The percentage of residents with less than a high school education is higher in West winfield at 13.2%, compared to 10.7% in Charlotte.
  • A higher percentage of residents in Charlotte hold a bachelor's degree or higher at 30.6% compared to 17.1% in West winfield.

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.