Demographics details for Livingston, TX vs Warner robins, GA
Population Overview
Compare main population characteristics in Livingston, TX vs Warner robins, GA.
Data | Livingston | Warner robins |
---|---|---|
Population | 5,784 | 82,175 |
Median Age | 36.9 years | 32.4 years |
Median Income | $47,952 | $63,678 |
Married Families | 28.0% | 32.0% |
Poverty Level | 12% | 8% |
Unemployment Rate | 3.5 | 3.8 |
Population Comparison: Livingston vs Warner robins
- The population in Warner robins is higher at 82,175, compared to 5,784 in Livingston.
- Residents in Livingston have a higher median age of 36.9 years compared to 32.4 years in Warner robins.
- Warner robins has a higher median income of $63,678, compared to $47,952 in Livingston.
- In Warner robins, the percentage of married families is higher at 32.0%, compared to 28.0% in Livingston.
- Livingston has a higher poverty level at 12% compared to 8% in Warner robins.
- Warner robins has a higher unemployment rate at 3.8% compared to 3.5% in Livingston.
Demographics
Demographics Livingston vs Warner robins provide insight into the diversity of the communities to compare.
Demographic | Livingston | Warner robins |
---|---|---|
Black | 18 | 40 |
White | 38 | 42 |
Asian | 2 | 3 |
Hispanic | 29 | 7 |
Two or More Races | 13 | 7 |
American Indian | Data is updating | 1 |
Demographics Comparison: Livingston vs Warner robins
- In Warner robins, the percentage of Black residents is higher at 40% compared to 18% in Livingston.
- The percentage of White residents is higher in Warner robins at 42% compared to 38% in Livingston.
- In Warner robins, the Asian population stands at 3%, greater than 2% in Livingston.
- The Hispanic community is larger in Livingston at 29% compared to 7% in Warner robins.
- More residents identify as two or more races in Livingston at 13% compared to 7% in Warner robins.
- In Warner robins, the percentage of American Indian residents is higher at 1%, compared to 0% in Livingston.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Livingston | Warner robins |
---|---|---|
Mental Health Not Good | 18.7% | 17.6% |
Physical Health Not Good | 13.1% | 13.1% |
Depression | 24.1% | 22.1% |
Smoking | 19.9% | 18.6% |
Binge Drinking | 17.9% | 15.9% |
Obesity | 42.1% | 39.9% |
Disability Percentage | 19.0% | 12.0% |
Health Statistics Comparison: Livingston vs Warner robins
- More residents in Livingston report poor mental health at 18.7% compared to 17.6% in Warner robins.
- Depression is more prevalent in Livingston at 24.1% compared to 22.1% in Warner robins.
- Smoking is more prevalent in Livingston at 19.9% compared to 18.6% in Warner robins.
- Binge drinking is more common in Livingston at 17.9% compared to 15.9% in Warner robins.
- Obesity rates are higher in Livingston at 42.1% compared to 39.9% in Warner robins.
- Disability percentages are higher in Livingston at 19.0% compared to 12.0% in Warner robins.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Livingston | Warner robins |
---|---|---|
No Schooling | 2.1% (123) | 0.4% (335) |
High School Diploma | 20.7% (1,198) | 14.9% (12,260) |
Less than High School | 22.3% (1,289) | 7.0% (5,714) |
Bachelor's Degree and Higher | 9.0% (518) | 19.2% (15,752) |
Education Levels Comparison: Livingston vs Warner robins
- A higher percentage of residents in Livingston have no formal schooling at 2.1% compared to 0.4% in Warner robins.
- A higher percentage of residents in Livingston hold a high school diploma at 20.7% compared to 14.9% in Warner robins.
- More residents in Livingston have less than a high school education at 22.3% compared to 7.0% in Warner robins.
- In Warner robins, a larger share of residents have a bachelor's degree or higher at 19.2% compared to 9.0% in Livingston.
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.