Demographics details for Luling, TX vs New kensington, PA

Population Overview

Compare main population characteristics in Luling, TX vs New kensington, PA.

Data Luling New kensington
Population 5,545 13,116
Median Age 50.3 years 41.0 years
Median Income $59,773 $56,867
Married Families 43.0% 40.0%
Poverty Level 12% 15%
Unemployment Rate 4.5 6.1

Population Comparison: Luling vs New kensington

  • The population in New kensington is higher at 13,116, compared to 5,545 in Luling.
  • Residents in Luling have a higher median age of 50.3 years compared to 41.0 years in New kensington.
  • Luling has a higher median income of $59,773 compared to $56,867 in New kensington.
  • A higher percentage of married families is found in Luling at 43.0% compared to 40.0% in New kensington.
  • The poverty level is higher in New kensington at 15%, compared to 12% in Luling.
  • New kensington has a higher unemployment rate at 6.1% compared to 4.5% in Luling.

Demographics

Demographics Luling vs New kensington provide insight into the diversity of the communities to compare.

Demographic Luling New kensington
Black 8 20
White 12 76
Asian 1 Data is updating
Hispanic 54 3
Two or More Races 25 1
American Indian Data is updating Data is updating

Demographics Comparison: Luling vs New kensington

  • In New kensington, the percentage of Black residents is higher at 20% compared to 8% in Luling.
  • The percentage of White residents is higher in New kensington at 76% compared to 12% in Luling.
  • The Asian population is larger in Luling at 1% compared to 0% in New kensington.
  • The Hispanic community is larger in Luling at 54% compared to 3% in New kensington.
  • More residents identify as two or more races in Luling at 25% compared to 1% in New kensington.
  • The percentage of American Indian residents is the same in both Luling and New kensington at 0%.

Health Statistics

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

Health Metric Luling New kensington
Mental Health Not Good 19.4% Data is updating%
Physical Health Not Good 15.4% Data is updating%
Depression 23.2% Data is updating%
Smoking 20.8% Data is updating%
Binge Drinking 15.6% Data is updating%
Obesity 43.9% Data is updating%
Disability Percentage 17.0% Data is updating%

Health Statistics Comparison: Luling vs New kensington

  • More residents in Luling report poor mental health at 19.4% compared to 0.0% in New kensington.
  • Depression is more prevalent in Luling at 23.2% compared to 0.0% in New kensington.
  • Smoking is more prevalent in Luling at 20.8% compared to 0.0% in New kensington.
  • Binge drinking is more common in Luling at 15.6% compared to 0.0% in New kensington.
  • Obesity rates are higher in Luling at 43.9% compared to 0.0% in New kensington.
  • Disability percentages are higher in Luling at 17.0% compared to 0.0% in New kensington.

Education Levels

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

Education Level Luling New kensington
No Schooling 3.9% (214) 0.0% (Data is updating)
High School Diploma 25.5% (1,415) 0.0% (Data is updating)
Less than High School 39.5% (2,189) 0.0% (Data is updating)
Bachelor's Degree and Higher 10.1% (560) 0.0% (Data is updating)

Education Levels Comparison: Luling vs New kensington

  • A higher percentage of residents in Luling have no formal schooling at 3.9% compared to 0.0% in New kensington.
  • A higher percentage of residents in Luling hold a high school diploma at 25.5% compared to 0.0% in New kensington.
  • More residents in Luling have less than a high school education at 39.5% compared to 0.0% in New kensington.
  • A higher percentage of residents in Luling hold a bachelor's degree or higher at 10.1% compared to 0.0% in New kensington.

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.