Demographics details for Kingston, GA vs Shafter, CA
Population Overview
Compare main population characteristics in Kingston, GA vs Shafter, CA.
| Data | Kingston | Shafter |
|---|---|---|
| Population | 742 | 21,282 |
| Median Age | 43.3 years | 27.4 years |
| Median Income | $50,000 | $66,418 |
| Married Families | 29.0% | 31.0% |
| Poverty Level | 8% | 20% |
| Unemployment Rate | 3.5 | 5.1 |
Population Comparison: Kingston vs Shafter
- The population in Shafter is higher at 21,282, compared to 742 in Kingston.
- Residents in Kingston have a higher median age of 43.3 years compared to 27.4 years in Shafter.
- Shafter has a higher median income of $66,418, compared to $50,000 in Kingston.
- In Shafter, the percentage of married families is higher at 31.0%, compared to 29.0% in Kingston.
- The poverty level is higher in Shafter at 20%, compared to 8% in Kingston.
- Shafter has a higher unemployment rate at 5.1% compared to 3.5% in Kingston.
Demographics
Demographics Kingston vs Shafter provide insight into the diversity of the communities to compare.
| Demographic | Kingston | Shafter |
|---|---|---|
| Black | 30 | 2 |
| White | 53 | -9 |
| Asian | Data is updating | 1 |
| Hispanic | 6 | 78 |
| Two or More Races | 11 | 27 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Kingston vs Shafter
- A higher percentage of Black residents are in Kingston at 30% compared to 2% in Shafter.
- Kingston has a higher percentage of White residents at 53% compared to -9% in Shafter.
- In Shafter, the Asian population stands at 1%, greater than 0% in Kingston.
- Shafter has a higher percentage of Hispanic residents at 78%, compared to 6% in Kingston.
- The percentage of residents identifying as two or more races is higher in Shafter at 27%, compared to 11% in Kingston.
- In Shafter, the percentage of American Indian residents is higher at 1%, compared to 0% in Kingston.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Kingston | Shafter |
|---|---|---|
| Mental Health Not Good | 17.5% | 18.8% |
| Physical Health Not Good | 12.0% | 16.6% |
| Depression | 22.2% | 19.7% |
| Smoking | 18.2% | 18.3% |
| Binge Drinking | 16.1% | 14.9% |
| Obesity | 35.1% | 39.4% |
| Disability Percentage | 25.0% | 6.0% |
Health Statistics Comparison: Kingston vs Shafter
- In Shafter, a higher percentage report poor mental health at 18.8% compared to 17.5% in Kingston.
- Depression is more prevalent in Kingston at 22.2% compared to 19.7% in Shafter.
- Shafter has a higher smoking rate at 18.3% compared to 18.2% in Kingston.
- Binge drinking is more common in Kingston at 16.1% compared to 14.9% in Shafter.
- Shafter has higher obesity rates at 39.4% compared to 35.1% in Kingston.
- Disability percentages are higher in Kingston at 25.0% compared to 6.0% in Shafter.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Kingston | Shafter |
|---|---|---|
| No Schooling | 1.9% (14) | 2.7% (567) |
| High School Diploma | 19.1% (142) | 14.1% (2,992) |
| Less than High School | 26.8% (199) | 32.9% (6,999) |
| Bachelor's Degree and Higher | 3.1% (23) | 5.7% (1,217) |
Education Levels Comparison: Kingston vs Shafter
- In Shafter, a larger percentage of residents lack formal schooling at 2.7% compared to 1.9% in Kingston.
- A higher percentage of residents in Kingston hold a high school diploma at 19.1% compared to 14.1% in Shafter.
- The percentage of residents with less than a high school education is higher in Shafter at 32.9%, compared to 26.8% in Kingston.
- In Shafter, a larger share of residents have a bachelor's degree or higher at 5.7% compared to 3.1% in Kingston.
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.