Demographics details for Richland, MS vs New roads, LA

Population Overview

Compare main population characteristics in Richland, MS vs New roads, LA.

Data Richland New roads
Population 7,297 4,383
Median Age 37.1 years 46.5 years
Median Income $54,753 $47,792
Married Families 40.0% 32.0%
Poverty Level 12% 20%
Unemployment Rate 4.2 5.0

Population Comparison: Richland vs New roads

  • In Richland, the population is higher at 7,297, compared to 4,383 in New roads.
  • The median age in New roads is higher at 46.5 years, compared to 37.1 years in Richland.
  • Richland has a higher median income of $54,753 compared to $47,792 in New roads.
  • A higher percentage of married families is found in Richland at 40.0% compared to 32.0% in New roads.
  • The poverty level is higher in New roads at 20%, compared to 12% in Richland.
  • New roads has a higher unemployment rate at 5.0% compared to 4.2% in Richland.

Demographics

Demographics Richland vs New roads provide insight into the diversity of the communities to compare.

Demographic Richland New roads
Black 19 53
White 74 42
Asian 2 1
Hispanic 3 Data is updating
Two or More Races 2 4
American Indian Data is updating Data is updating

Demographics Comparison: Richland vs New roads

  • In New roads, the percentage of Black residents is higher at 53% compared to 19% in Richland.
  • Richland has a higher percentage of White residents at 74% compared to 42% in New roads.
  • The Asian population is larger in Richland at 2% compared to 1% in New roads.
  • The Hispanic community is larger in Richland at 3% compared to 0% in New roads.
  • The percentage of residents identifying as two or more races is higher in New roads at 4%, compared to 2% in Richland.
  • The percentage of American Indian residents is the same in both Richland and New roads at 0%.

Health Statistics

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

Health Metric Richland New roads
Mental Health Not Good 16.9% 19.9%
Physical Health Not Good 11.7% 14.1%
Depression 23.4% 25.9%
Smoking 19.3% 22.8%
Binge Drinking 14.2% 16.2%
Obesity 37.4% 42.7%
Disability Percentage 13.0% 31.0%

Health Statistics Comparison: Richland vs New roads

  • In New roads, a higher percentage report poor mental health at 19.9% compared to 16.9% in Richland.
  • Higher depression rates are seen in New roads at 25.9% versus 23.4% in Richland.
  • New roads has a higher smoking rate at 22.8% compared to 19.3% in Richland.
  • More residents engage in binge drinking in New roads at 16.2% compared to 14.2% in Richland.
  • New roads has higher obesity rates at 42.7% compared to 37.4% in Richland.
  • There is a higher percentage of disabled individuals in New roads at 31.0% compared to 13.0% in Richland.

Education Levels

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

Education Level Richland New roads
No Schooling 1.7% (122) 0.5% (23)
High School Diploma 12.6% (916) 28.7% (1,260)
Less than High School 10.0% (732) 16.0% (701)
Bachelor's Degree and Higher 16.1% (1,175) 12.8% (559)

Education Levels Comparison: Richland vs New roads

  • A higher percentage of residents in Richland have no formal schooling at 1.7% compared to 0.5% in New roads.
  • In New roads, the rate of residents with high school diplomas is higher at 28.7% compared to 12.6% in Richland.
  • The percentage of residents with less than a high school education is higher in New roads at 16.0%, compared to 10.0% in Richland.
  • A higher percentage of residents in Richland hold a bachelor's degree or higher at 16.1% compared to 12.8% in New roads.

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.