Demographics details for New orleans, LA vs Cross plains, TX

Population Overview

Compare main population characteristics in New orleans, LA vs Cross plains, TX.

Data New orleans Cross plains
Population 369,749 926
Median Age 37.9 years 28.3 years
Median Income $51,116 $48,516
Married Families 26.0% 47.0%
Poverty Level 19% 13%
Unemployment Rate 5.3 4.2

Population Comparison: New orleans vs Cross plains

  • In New orleans, the population is higher at 369,749, compared to 926 in Cross plains.
  • Residents in New orleans have a higher median age of 37.9 years compared to 28.3 years in Cross plains.
  • New orleans has a higher median income of $51,116 compared to $48,516 in Cross plains.
  • In Cross plains, the percentage of married families is higher at 47.0%, compared to 26.0% in New orleans.
  • New orleans has a higher poverty level at 19% compared to 13% in Cross plains.
  • The unemployment rate in New orleans is higher at 5.3%, compared to 4.2% in Cross plains.

Demographics

Demographics New orleans vs Cross plains provide insight into the diversity of the communities to compare.

Demographic New orleans Cross plains
Black 59 Data is updating
White 27 90
Asian 3 Data is updating
Hispanic 6 6
Two or More Races 5 4
American Indian Data is updating Data is updating

Demographics Comparison: New orleans vs Cross plains

  • A higher percentage of Black residents are in New orleans at 59% compared to 0% in Cross plains.
  • The percentage of White residents is higher in Cross plains at 90% compared to 27% in New orleans.
  • The Asian population is larger in New orleans at 3% compared to 0% in Cross plains.
  • The percentage of Hispanic residents is the same in both New orleans and Cross plains at 6%.
  • More residents identify as two or more races in New orleans at 5% compared to 4% in Cross plains.
  • The percentage of American Indian residents is the same in both New orleans and Cross plains at 0%.

Health Statistics

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

Health Metric New orleans Cross plains
Mental Health Not Good 18.4% 18.3%
Physical Health Not Good 12.7% 11.8%
Depression 23.8% 25.7%
Smoking 19.4% 18.1%
Binge Drinking 21.0% 19.6%
Obesity 34.6% 36.1%
Disability Percentage 14.0% 32.0%

Health Statistics Comparison: New orleans vs Cross plains

  • More residents in New orleans report poor mental health at 18.4% compared to 18.3% in Cross plains.
  • Higher depression rates are seen in Cross plains at 25.7% versus 23.8% in New orleans.
  • Smoking is more prevalent in New orleans at 19.4% compared to 18.1% in Cross plains.
  • Binge drinking is more common in New orleans at 21.0% compared to 19.6% in Cross plains.
  • Cross plains has higher obesity rates at 36.1% compared to 34.6% in New orleans.
  • There is a higher percentage of disabled individuals in Cross plains at 32.0% compared to 14.0% in New orleans.

Education Levels

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

Education Level New orleans Cross plains
No Schooling 0.9% (3,155) 0.1% (1)
High School Diploma 13.9% (51,569) 19.3% (179)
Less than High School 9.8% (36,185) 6.0% (56)
Bachelor's Degree and Higher 29.8% (110,142) 9.2% (85)

Education Levels Comparison: New orleans vs Cross plains

  • A higher percentage of residents in New orleans have no formal schooling at 0.9% compared to 0.1% in Cross plains.
  • In Cross plains, the rate of residents with high school diplomas is higher at 19.3% compared to 13.9% in New orleans.
  • More residents in New orleans have less than a high school education at 9.8% compared to 6.0% in Cross plains.
  • A higher percentage of residents in New orleans hold a bachelor's degree or higher at 29.8% compared to 9.2% in Cross plains.

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.