Demographics details for New roads, LA vs South bend, IN

Population Overview

Compare main population characteristics in New roads, LA vs South bend, IN.

Data New roads South bend
Population 4,383 103,110
Median Age 46.5 years 33.4 years
Median Income $47,792 $49,056
Married Families 32.0% 28.0%
Poverty Level 20% 16%
Unemployment Rate 5.0 5.2

Population Comparison: New roads vs South bend

  • The population in South bend is higher at 103,110, compared to 4,383 in New roads.
  • Residents in New roads have a higher median age of 46.5 years compared to 33.4 years in South bend.
  • South bend has a higher median income of $49,056, compared to $47,792 in New roads.
  • A higher percentage of married families is found in New roads at 32.0% compared to 28.0% in South bend.
  • New roads has a higher poverty level at 20% compared to 16% in South bend.
  • South bend has a higher unemployment rate at 5.2% compared to 5.0% in New roads.

Demographics

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

Demographic New roads South bend
Black 53 25
White 42 47
Asian 1 2
Hispanic Data is updating 16
Two or More Races 4 10
American Indian Data is updating Data is updating

Demographics Comparison: New roads vs South bend

  • A higher percentage of Black residents are in New roads at 53% compared to 25% in South bend.
  • The percentage of White residents is higher in South bend at 47% compared to 42% in New roads.
  • In South bend, the Asian population stands at 2%, greater than 1% in New roads.
  • South bend has a higher percentage of Hispanic residents at 16%, compared to 0% in New roads.
  • The percentage of residents identifying as two or more races is higher in South bend at 10%, compared to 4% in New roads.
  • The percentage of American Indian residents is the same in both New roads and South bend at 0%.

Health Statistics

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

Health Metric New roads South bend
Mental Health Not Good 19.9% 19.2%
Physical Health Not Good 14.1% 14.0%
Depression 25.9% 24.9%
Smoking 22.8% 22.4%
Binge Drinking 16.2% 14.6%
Obesity 42.7% 40.3%
Disability Percentage 31.0% 14.0%

Health Statistics Comparison: New roads vs South bend

  • More residents in New roads report poor mental health at 19.9% compared to 19.2% in South bend.
  • Depression is more prevalent in New roads at 25.9% compared to 24.9% in South bend.
  • Smoking is more prevalent in New roads at 22.8% compared to 22.4% in South bend.
  • Binge drinking is more common in New roads at 16.2% compared to 14.6% in South bend.
  • Obesity rates are higher in New roads at 42.7% compared to 40.3% in South bend.
  • Disability percentages are higher in New roads at 31.0% compared to 14.0% in South bend.

Education Levels

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

Education Level New roads South bend
No Schooling 0.5% (23) 1.2% (1,199)
High School Diploma 28.7% (1,260) 14.9% (15,409)
Less than High School 16.0% (701) 13.0% (13,380)
Bachelor's Degree and Higher 12.8% (559) 18.2% (18,716)

Education Levels Comparison: New roads vs South bend

  • In South bend, a larger percentage of residents lack formal schooling at 1.2% compared to 0.5% in New roads.
  • A higher percentage of residents in New roads hold a high school diploma at 28.7% compared to 14.9% in South bend.
  • More residents in New roads have less than a high school education at 16.0% compared to 13.0% in South bend.
  • In South bend, a larger share of residents have a bachelor's degree or higher at 18.2% 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.