Demographics details for Greenville, NC vs Mountain view, AR

Population Overview

Compare main population characteristics in Greenville, NC vs Mountain view, AR.

Data Greenville Mountain view
Population 89,233 2,915
Median Age 26.9 years 55.5 years
Median Income $47,485 $23,458
Married Families 24.0% 25.0%
Poverty Level 23% 17%
Unemployment Rate 5.2 4.8

Population Comparison: Greenville vs Mountain view

  • In Greenville, the population is higher at 89,233, compared to 2,915 in Mountain view.
  • The median age in Mountain view is higher at 55.5 years, compared to 26.9 years in Greenville.
  • Greenville has a higher median income of $47,485 compared to $23,458 in Mountain view.
  • In Mountain view, the percentage of married families is higher at 25.0%, compared to 24.0% in Greenville.
  • Greenville has a higher poverty level at 23% compared to 17% in Mountain view.
  • The unemployment rate in Greenville is higher at 5.2%, compared to 4.8% in Mountain view.

Demographics

Demographics Greenville vs Mountain view provide insight into the diversity of the communities to compare.

Demographic Greenville Mountain view
Black 39 1
White 50 89
Asian 3 1
Hispanic 4 8
Two or More Races 4 1
American Indian Data is updating Data is updating

Demographics Comparison: Greenville vs Mountain view

  • A higher percentage of Black residents are in Greenville at 39% compared to 1% in Mountain view.
  • The percentage of White residents is higher in Mountain view at 89% compared to 50% in Greenville.
  • The Asian population is larger in Greenville at 3% compared to 1% in Mountain view.
  • Mountain view has a higher percentage of Hispanic residents at 8%, compared to 4% in Greenville.
  • More residents identify as two or more races in Greenville at 4% compared to 1% in Mountain view.
  • The percentage of American Indian residents is the same in both Greenville and Mountain view at 0%.

Health Statistics

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

Health Metric Greenville Mountain view
Mental Health Not Good 17.0% 22.6%
Physical Health Not Good 12.0% 16.7%
Depression 21.9% 31.9%
Smoking 17.1% 26.6%
Binge Drinking 14.2% 14.9%
Obesity 41.6% 41.1%
Disability Percentage 11.0% 36.0%

Health Statistics Comparison: Greenville vs Mountain view

  • In Mountain view, a higher percentage report poor mental health at 22.6% compared to 17.0% in Greenville.
  • Higher depression rates are seen in Mountain view at 31.9% versus 21.9% in Greenville.
  • Mountain view has a higher smoking rate at 26.6% compared to 17.1% in Greenville.
  • More residents engage in binge drinking in Mountain view at 14.9% compared to 14.2% in Greenville.
  • Obesity rates are higher in Greenville at 41.6% compared to 41.1% in Mountain view.
  • There is a higher percentage of disabled individuals in Mountain view at 36.0% compared to 11.0% in Greenville.

Education Levels

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

Education Level Greenville Mountain view
No Schooling 0.6% (512) 2.4% (70)
High School Diploma 10.3% (9,215) 17.8% (520)
Less than High School 4.6% (4,082) 15.9% (464)
Bachelor's Degree and Higher 20.9% (18,672) 11.3% (329)

Education Levels Comparison: Greenville vs Mountain view

  • In Mountain view, a larger percentage of residents lack formal schooling at 2.4% compared to 0.6% in Greenville.
  • In Mountain view, the rate of residents with high school diplomas is higher at 17.8% compared to 10.3% in Greenville.
  • The percentage of residents with less than a high school education is higher in Mountain view at 15.9%, compared to 4.6% in Greenville.
  • A higher percentage of residents in Greenville hold a bachelor's degree or higher at 20.9% compared to 11.3% in Mountain view.

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.