Demographics details for Conyers, GA vs League city, TX
Population Overview
Compare main population characteristics in Conyers, GA vs League city, TX.
| Data | Conyers | League city |
|---|---|---|
| Population | 17,926 | 115,418 |
| Median Age | 37.7 years | 37.1 years |
| Median Income | $53,500 | $117,316 |
| Married Families | 21.0% | 48.0% |
| Poverty Level | 14% | 6% |
| Unemployment Rate | 4.2 | 3.8 |
Population Comparison: Conyers vs League city
- The population in League city is higher at 115,418, compared to 17,926 in Conyers.
- Residents in Conyers have a higher median age of 37.7 years compared to 37.1 years in League city.
- League city has a higher median income of $117,316, compared to $53,500 in Conyers.
- In League city, the percentage of married families is higher at 48.0%, compared to 21.0% in Conyers.
- Conyers has a higher poverty level at 14% compared to 6% in League city.
- The unemployment rate in Conyers is higher at 4.2%, compared to 3.8% in League city.
Demographics
Demographics Conyers vs League city provide insight into the diversity of the communities to compare.
| Demographic | Conyers | League city |
|---|---|---|
| Black | 62 | 8 |
| White | 22 | 57 |
| Asian | 2 | 6 |
| Hispanic | 10 | 19 |
| Two or More Races | 4 | 10 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Conyers vs League city
- A higher percentage of Black residents are in Conyers at 62% compared to 8% in League city.
- The percentage of White residents is higher in League city at 57% compared to 22% in Conyers.
- In League city, the Asian population stands at 6%, greater than 2% in Conyers.
- League city has a higher percentage of Hispanic residents at 19%, compared to 10% in Conyers.
- The percentage of residents identifying as two or more races is higher in League city at 10%, compared to 4% in Conyers.
- The percentage of American Indian residents is the same in both Conyers and League city at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Conyers | League city |
|---|---|---|
| Mental Health Not Good | 18.2% | 14.1% |
| Physical Health Not Good | 14.1% | 8.6% |
| Depression | 20.1% | 21.0% |
| Smoking | 19.4% | 11.2% |
| Binge Drinking | 12.8% | 19.5% |
| Obesity | 42.8% | 30.4% |
| Disability Percentage | 12.0% | 9.0% |
Health Statistics Comparison: Conyers vs League city
- More residents in Conyers report poor mental health at 18.2% compared to 14.1% in League city.
- Higher depression rates are seen in League city at 21.0% versus 20.1% in Conyers.
- Smoking is more prevalent in Conyers at 19.4% compared to 11.2% in League city.
- More residents engage in binge drinking in League city at 19.5% compared to 12.8% in Conyers.
- Obesity rates are higher in Conyers at 42.8% compared to 30.4% in League city.
- Disability percentages are higher in Conyers at 12.0% compared to 9.0% in League city.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Conyers | League city |
|---|---|---|
| No Schooling | 1.1% (204) | 0.5% (597) |
| High School Diploma | 14.8% (2,660) | 8.9% (10,242) |
| Less than High School | 12.1% (2,169) | 4.9% (5,692) |
| Bachelor's Degree and Higher | 17.4% (3,117) | 31.5% (36,360) |
Education Levels Comparison: Conyers vs League city
- A higher percentage of residents in Conyers have no formal schooling at 1.1% compared to 0.5% in League city.
- A higher percentage of residents in Conyers hold a high school diploma at 14.8% compared to 8.9% in League city.
- More residents in Conyers have less than a high school education at 12.1% compared to 4.9% in League city.
- In League city, a larger share of residents have a bachelor's degree or higher at 31.5% compared to 17.4% in Conyers.
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.