Demographics details for Livingston, TX vs Sugar valley, GA
Population Overview
Compare main population characteristics in Livingston, TX vs Sugar valley, GA.
Data | Livingston | Sugar valley |
---|---|---|
Population | 5,784 | 8,120 |
Median Age | 36.9 years | 38.8 years |
Median Income | $47,952 | $68,839 |
Married Families | 28.0% | 42.0% |
Poverty Level | 12% | 9% |
Unemployment Rate | 3.5 | 3.5 |
Population Comparison: Livingston vs Sugar valley
- The population in Sugar valley is higher at 8,120, compared to 5,784 in Livingston.
- The median age in Sugar valley is higher at 38.8 years, compared to 36.9 years in Livingston.
- Sugar valley has a higher median income of $68,839, compared to $47,952 in Livingston.
- In Sugar valley, the percentage of married families is higher at 42.0%, compared to 28.0% in Livingston.
- Livingston has a higher poverty level at 12% compared to 9% in Sugar valley.
- The unemployment rate is the same in both Livingston and Sugar valley at 3.5%.
Demographics
Demographics Livingston vs Sugar valley provide insight into the diversity of the communities to compare.
Demographic | Livingston | Sugar valley |
---|---|---|
Black | 18 | Data is updating |
White | 38 | 86 |
Asian | 2 | 1 |
Hispanic | 29 | 9 |
Two or More Races | 13 | 4 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Livingston vs Sugar valley
- A higher percentage of Black residents are in Livingston at 18% compared to 0% in Sugar valley.
- The percentage of White residents is higher in Sugar valley at 86% compared to 38% in Livingston.
- The Asian population is larger in Livingston at 2% compared to 1% in Sugar valley.
- The Hispanic community is larger in Livingston at 29% compared to 9% in Sugar valley.
- More residents identify as two or more races in Livingston at 13% compared to 4% in Sugar valley.
- The percentage of American Indian residents is the same in both Livingston and Sugar valley at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Livingston | Sugar valley |
---|---|---|
Mental Health Not Good | 18.7% | Data is updating% |
Physical Health Not Good | 13.1% | Data is updating% |
Depression | 24.1% | Data is updating% |
Smoking | 19.9% | Data is updating% |
Binge Drinking | 17.9% | Data is updating% |
Obesity | 42.1% | Data is updating% |
Disability Percentage | 19.0% | 16.0% |
Health Statistics Comparison: Livingston vs Sugar valley
- More residents in Livingston report poor mental health at 18.7% compared to 0.0% in Sugar valley.
- Depression is more prevalent in Livingston at 24.1% compared to 0.0% in Sugar valley.
- Smoking is more prevalent in Livingston at 19.9% compared to 0.0% in Sugar valley.
- Binge drinking is more common in Livingston at 17.9% compared to 0.0% in Sugar valley.
- Obesity rates are higher in Livingston at 42.1% compared to 0.0% in Sugar valley.
- Disability percentages are higher in Livingston at 19.0% compared to 16.0% in Sugar valley.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Livingston | Sugar valley |
---|---|---|
No Schooling | 2.1% (123) | 1.4% (111) |
High School Diploma | 20.7% (1,198) | 16.9% (1,371) |
Less than High School | 22.3% (1,289) | 22.0% (1,784) |
Bachelor's Degree and Higher | 9.0% (518) | 7.6% (619) |
Education Levels Comparison: Livingston vs Sugar valley
- A higher percentage of residents in Livingston have no formal schooling at 2.1% compared to 1.4% in Sugar valley.
- A higher percentage of residents in Livingston hold a high school diploma at 20.7% compared to 16.9% in Sugar valley.
- More residents in Livingston have less than a high school education at 22.3% compared to 22.0% in Sugar valley.
- A higher percentage of residents in Livingston hold a bachelor's degree or higher at 9.0% compared to 7.6% in Sugar valley.
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.