Demographics details for Florence, OR vs Walnut cove, NC

Population Overview

Compare main population characteristics in Florence, OR vs Walnut cove, NC.

Data Florence Walnut cove
Population 9,376 1,596
Median Age 57.7 years 40.5 years
Median Income $57,568 $42,398
Married Families 42.0% 41.0%
Poverty Level 10% 15%
Unemployment Rate 4.5 4.3

Population Comparison: Florence vs Walnut cove

  • In Florence, the population is higher at 9,376, compared to 1,596 in Walnut cove.
  • Residents in Florence have a higher median age of 57.7 years compared to 40.5 years in Walnut cove.
  • Florence has a higher median income of $57,568 compared to $42,398 in Walnut cove.
  • A higher percentage of married families is found in Florence at 42.0% compared to 41.0% in Walnut cove.
  • The poverty level is higher in Walnut cove at 15%, compared to 10% in Florence.
  • The unemployment rate in Florence is higher at 4.5%, compared to 4.3% in Walnut cove.

Demographics

Demographics Florence vs Walnut cove provide insight into the diversity of the communities to compare.

Demographic Florence Walnut cove
Black 2 38
White 87 44
Asian 2 Data is updating
Hispanic 5 4
Two or More Races 3 14
American Indian 1 Data is updating

Demographics Comparison: Florence vs Walnut cove

  • In Walnut cove, the percentage of Black residents is higher at 38% compared to 2% in Florence.
  • Florence has a higher percentage of White residents at 87% compared to 44% in Walnut cove.
  • The Asian population is larger in Florence at 2% compared to 0% in Walnut cove.
  • The Hispanic community is larger in Florence at 5% compared to 4% in Walnut cove.
  • The percentage of residents identifying as two or more races is higher in Walnut cove at 14%, compared to 3% in Florence.
  • A greater percentage of American Indian residents live in Florence at 1% compared to 0% in Walnut cove.

Health Statistics

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

Health Metric Florence Walnut cove
Mental Health Not Good 19.8% 18.3%
Physical Health Not Good 13.1% 13.3%
Depression 29.2% 24.5%
Smoking 16.7% 22.0%
Binge Drinking 17.0% 15.9%
Obesity 36.0% 39.4%
Disability Percentage 25.0% 22.0%

Health Statistics Comparison: Florence vs Walnut cove

  • More residents in Florence report poor mental health at 19.8% compared to 18.3% in Walnut cove.
  • Depression is more prevalent in Florence at 29.2% compared to 24.5% in Walnut cove.
  • Walnut cove has a higher smoking rate at 22.0% compared to 16.7% in Florence.
  • Binge drinking is more common in Florence at 17.0% compared to 15.9% in Walnut cove.
  • Walnut cove has higher obesity rates at 39.4% compared to 36.0% in Florence.
  • Disability percentages are higher in Florence at 25.0% compared to 22.0% in Walnut cove.

Education Levels

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

Education Level Florence Walnut cove
No Schooling 0.4% (35) 1.1% (18)
High School Diploma 14.2% (1,331) 26.8% (428)
Less than High School 15.6% (1,467) 8.6% (138)
Bachelor's Degree and Higher 19.9% (1,865) 7.6% (122)

Education Levels Comparison: Florence vs Walnut cove

  • In Walnut cove, a larger percentage of residents lack formal schooling at 1.1% compared to 0.4% in Florence.
  • In Walnut cove, the rate of residents with high school diplomas is higher at 26.8% compared to 14.2% in Florence.
  • More residents in Florence have less than a high school education at 15.6% compared to 8.6% in Walnut cove.
  • A higher percentage of residents in Florence hold a bachelor's degree or higher at 19.9% compared to 7.6% in Walnut cove.

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.