Demographics details for Kingsland, GA vs Falls city, NE
Population Overview
Compare main population characteristics in Kingsland, GA vs Falls city, NE.
| Data | Kingsland | Falls city |
|---|---|---|
| Population | 19,896 | 4,052 |
| Median Age | 33.1 years | 40.6 years |
| Median Income | $73,839 | $40,222 |
| Married Families | 36.0% | 38.0% |
| Poverty Level | 9% | 13% |
| Unemployment Rate | 3.5 | 3.5 |
Population Comparison: Kingsland vs Falls city
- In Kingsland, the population is higher at 19,896, compared to 4,052 in Falls city.
- The median age in Falls city is higher at 40.6 years, compared to 33.1 years in Kingsland.
- Kingsland has a higher median income of $73,839 compared to $40,222 in Falls city.
- In Falls city, the percentage of married families is higher at 38.0%, compared to 36.0% in Kingsland.
- The poverty level is higher in Falls city at 13%, compared to 9% in Kingsland.
- The unemployment rate is the same in both Kingsland and Falls city at 3.5%.
Demographics
Demographics Kingsland vs Falls city provide insight into the diversity of the communities to compare.
| Demographic | Kingsland | Falls city |
|---|---|---|
| Black | 21 | 1 |
| White | 60 | 91 |
| Asian | 2 | Data is updating |
| Hispanic | 8 | Data is updating |
| Two or More Races | 9 | 5 |
| American Indian | Data is updating | 3 |
Demographics Comparison: Kingsland vs Falls city
- A higher percentage of Black residents are in Kingsland at 21% compared to 1% in Falls city.
- The percentage of White residents is higher in Falls city at 91% compared to 60% in Kingsland.
- The Asian population is larger in Kingsland at 2% compared to 0% in Falls city.
- The Hispanic community is larger in Kingsland at 8% compared to 0% in Falls city.
- More residents identify as two or more races in Kingsland at 9% compared to 5% in Falls city.
- In Falls city, the percentage of American Indian residents is higher at 3%, compared to 0% in Kingsland.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Kingsland | Falls city |
|---|---|---|
| Mental Health Not Good | 16.8% | 14.9% |
| Physical Health Not Good | 11.9% | 10.9% |
| Depression | 21.8% | 17.2% |
| Smoking | 17.3% | 19.3% |
| Binge Drinking | 16.1% | 20.4% |
| Obesity | 36.1% | 43.9% |
| Disability Percentage | 9.0% | 14.0% |
Health Statistics Comparison: Kingsland vs Falls city
- More residents in Kingsland report poor mental health at 16.8% compared to 14.9% in Falls city.
- Depression is more prevalent in Kingsland at 21.8% compared to 17.2% in Falls city.
- Falls city has a higher smoking rate at 19.3% compared to 17.3% in Kingsland.
- More residents engage in binge drinking in Falls city at 20.4% compared to 16.1% in Kingsland.
- Falls city has higher obesity rates at 43.9% compared to 36.1% in Kingsland.
- There is a higher percentage of disabled individuals in Falls city at 14.0% compared to 9.0% in Kingsland.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Kingsland | Falls city |
|---|---|---|
| No Schooling | 0.3% (51) | 0.0% (Data is updating) |
| High School Diploma | 15.6% (3,105) | 26.2% (1,063) |
| Less than High School | 5.9% (1,175) | 8.6% (349) |
| Bachelor's Degree and Higher | 13.1% (2,616) | 14.8% (598) |
Education Levels Comparison: Kingsland vs Falls city
- A higher percentage of residents in Kingsland have no formal schooling at 0.3% compared to 0.0% in Falls city.
- In Falls city, the rate of residents with high school diplomas is higher at 26.2% compared to 15.6% in Kingsland.
- The percentage of residents with less than a high school education is higher in Falls city at 8.6%, compared to 5.9% in Kingsland.
- In Falls city, a larger share of residents have a bachelor's degree or higher at 14.8% compared to 13.1% in Kingsland.
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.