Demographics details for Sugar valley, GA vs New bern, NC

Population Overview

Compare main population characteristics in Sugar valley, GA vs New bern, NC.

Data Sugar valley New bern
Population 8,120 31,539
Median Age 38.8 years 40.4 years
Median Income $68,839 $55,673
Married Families 42.0% 38.0%
Poverty Level 9% 8%
Unemployment Rate 3.5 4.0

Population Comparison: Sugar valley vs New bern

  • The population in New bern is higher at 31,539, compared to 8,120 in Sugar valley.
  • The median age in New bern is higher at 40.4 years, compared to 38.8 years in Sugar valley.
  • Sugar valley has a higher median income of $68,839 compared to $55,673 in New bern.
  • A higher percentage of married families is found in Sugar valley at 42.0% compared to 38.0% in New bern.
  • Sugar valley has a higher poverty level at 9% compared to 8% in New bern.
  • New bern has a higher unemployment rate at 4.0% compared to 3.5% in Sugar valley.

Demographics

Demographics Sugar valley vs New bern provide insight into the diversity of the communities to compare.

Demographic Sugar valley New bern
Black Data is updating 31
White 86 52
Asian 1 5
Hispanic 9 6
Two or More Races 4 5
American Indian Data is updating 1

Demographics Comparison: Sugar valley vs New bern

  • In New bern, the percentage of Black residents is higher at 31% compared to 0% in Sugar valley.
  • Sugar valley has a higher percentage of White residents at 86% compared to 52% in New bern.
  • In New bern, the Asian population stands at 5%, greater than 1% in Sugar valley.
  • The Hispanic community is larger in Sugar valley at 9% compared to 6% in New bern.
  • The percentage of residents identifying as two or more races is higher in New bern at 5%, compared to 4% in Sugar valley.
  • In New bern, the percentage of American Indian residents is higher at 1%, compared to 0% in Sugar valley.

Health Statistics

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

Health Metric Sugar valley New bern
Mental Health Not Good Data is updating% 17.0%
Physical Health Not Good Data is updating% 12.4%
Depression Data is updating% 23.1%
Smoking Data is updating% 19.2%
Binge Drinking Data is updating% 15.7%
Obesity Data is updating% 39.6%
Disability Percentage 16.0% 14.0%

Health Statistics Comparison: Sugar valley vs New bern

  • In New bern, a higher percentage report poor mental health at 17.0% compared to 0.0% in Sugar valley.
  • Higher depression rates are seen in New bern at 23.1% versus 0.0% in Sugar valley.
  • New bern has a higher smoking rate at 19.2% compared to 0.0% in Sugar valley.
  • More residents engage in binge drinking in New bern at 15.7% compared to 0.0% in Sugar valley.
  • New bern has higher obesity rates at 39.6% compared to 0.0% in Sugar valley.
  • Disability percentages are higher in Sugar valley at 16.0% compared to 14.0% in New bern.

Education Levels

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

Education Level Sugar valley New bern
No Schooling 1.4% (111) 0.7% (226)
High School Diploma 16.9% (1,371) 14.6% (4,607)
Less than High School 22.0% (1,784) 10.3% (3,249)
Bachelor's Degree and Higher 7.6% (619) 20.0% (6,293)

Education Levels Comparison: Sugar valley vs New bern

  • A higher percentage of residents in Sugar valley have no formal schooling at 1.4% compared to 0.7% in New bern.
  • A higher percentage of residents in Sugar valley hold a high school diploma at 16.9% compared to 14.6% in New bern.
  • More residents in Sugar valley have less than a high school education at 22.0% compared to 10.3% in New bern.
  • In New bern, a larger share of residents have a bachelor's degree or higher at 20.0% compared to 7.6% in Sugar valley.

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.