Demographics details for Shafter, CA vs Berkshire, NY
Population Overview
Compare main population characteristics in Shafter, CA vs Berkshire, NY.
Data | Shafter | Berkshire |
---|---|---|
Population | 21,282 | 1,412 |
Median Age | 27.4 years | 38.0 years |
Median Income | $66,418 | $60,000 |
Married Families | 31.0% | 45.0% |
Poverty Level | 20% | 10% |
Unemployment Rate | 5.1 | 5.0 |
Population Comparison: Shafter vs Berkshire
- In Shafter, the population is higher at 21,282, compared to 1,412 in Berkshire.
- The median age in Berkshire is higher at 38.0 years, compared to 27.4 years in Shafter.
- Shafter has a higher median income of $66,418 compared to $60,000 in Berkshire.
- In Berkshire, the percentage of married families is higher at 45.0%, compared to 31.0% in Shafter.
- Shafter has a higher poverty level at 20% compared to 10% in Berkshire.
- The unemployment rate in Shafter is higher at 5.1%, compared to 5.0% in Berkshire.
Demographics
Demographics Shafter vs Berkshire provide insight into the diversity of the communities to compare.
Demographic | Shafter | Berkshire |
---|---|---|
Black | 2 | Data is updating |
White | -9 | 95 |
Asian | 1 | Data is updating |
Hispanic | 78 | 2 |
Two or More Races | 27 | 3 |
American Indian | 1 | Data is updating |
Demographics Comparison: Shafter vs Berkshire
- A higher percentage of Black residents are in Shafter at 2% compared to 0% in Berkshire.
- The percentage of White residents is higher in Berkshire at 95% compared to -9% in Shafter.
- The Asian population is larger in Shafter at 1% compared to 0% in Berkshire.
- The Hispanic community is larger in Shafter at 78% compared to 2% in Berkshire.
- More residents identify as two or more races in Shafter at 27% compared to 3% in Berkshire.
- A greater percentage of American Indian residents live in Shafter at 1% compared to 0% in Berkshire.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Shafter | Berkshire |
---|---|---|
Mental Health Not Good | 18.8% | Data is updating% |
Physical Health Not Good | 16.6% | Data is updating% |
Depression | 19.7% | Data is updating% |
Smoking | 18.3% | Data is updating% |
Binge Drinking | 14.9% | Data is updating% |
Obesity | 39.4% | Data is updating% |
Disability Percentage | 6.0% | Data is updating% |
Health Statistics Comparison: Shafter vs Berkshire
- More residents in Shafter report poor mental health at 18.8% compared to 0.0% in Berkshire.
- Depression is more prevalent in Shafter at 19.7% compared to 0.0% in Berkshire.
- Smoking is more prevalent in Shafter at 18.3% compared to 0.0% in Berkshire.
- Binge drinking is more common in Shafter at 14.9% compared to 0.0% in Berkshire.
- Obesity rates are higher in Shafter at 39.4% compared to 0.0% in Berkshire.
- Disability percentages are higher in Shafter at 6.0% compared to 0.0% in Berkshire.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Shafter | Berkshire |
---|---|---|
No Schooling | 2.7% (567) | 0.0% (Data is updating) |
High School Diploma | 14.1% (2,992) | 0.0% (Data is updating) |
Less than High School | 32.9% (6,999) | 0.0% (Data is updating) |
Bachelor's Degree and Higher | 5.7% (1,217) | 0.0% (Data is updating) |
Education Levels Comparison: Shafter vs Berkshire
- A higher percentage of residents in Shafter have no formal schooling at 2.7% compared to 0.0% in Berkshire.
- A higher percentage of residents in Shafter hold a high school diploma at 14.1% compared to 0.0% in Berkshire.
- More residents in Shafter have less than a high school education at 32.9% compared to 0.0% in Berkshire.
- A higher percentage of residents in Shafter hold a bachelor's degree or higher at 5.7% compared to 0.0% in Berkshire.
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.