Demographics details for Fleischmanns, NY vs Kerman, CA
Population Overview
Compare main population characteristics in Fleischmanns, NY vs Kerman, CA.
Data | Fleischmanns | Kerman |
---|---|---|
Population | 230 | 16,208 |
Median Age | 49.5 years | 27.8 years |
Median Income | $60,417 | $53,956 |
Married Families | 40.0% | 32.0% |
Poverty Level | 10% | 12% |
Unemployment Rate | 3.4 | 5.5 |
Population Comparison: Fleischmanns vs Kerman
- The population in Kerman is higher at 16,208, compared to 230 in Fleischmanns.
- Residents in Fleischmanns have a higher median age of 49.5 years compared to 27.8 years in Kerman.
- Fleischmanns has a higher median income of $60,417 compared to $53,956 in Kerman.
- A higher percentage of married families is found in Fleischmanns at 40.0% compared to 32.0% in Kerman.
- The poverty level is higher in Kerman at 12%, compared to 10% in Fleischmanns.
- Kerman has a higher unemployment rate at 5.5% compared to 3.4% in Fleischmanns.
Demographics
Demographics Fleischmanns vs Kerman provide insight into the diversity of the communities to compare.
Demographic | Fleischmanns | Kerman |
---|---|---|
Black | Data is updating | Data is updating |
White | 54 | -12 |
Asian | Data is updating | 7 |
Hispanic | 35 | 81 |
Two or More Races | 7 | 22 |
American Indian | 4 | 2 |
Demographics Comparison: Fleischmanns vs Kerman
- The percentage of Black residents is the same in both Fleischmanns and Kerman at 0%.
- Fleischmanns has a higher percentage of White residents at 54% compared to -12% in Kerman.
- In Kerman, the Asian population stands at 7%, greater than 0% in Fleischmanns.
- Kerman has a higher percentage of Hispanic residents at 81%, compared to 35% in Fleischmanns.
- The percentage of residents identifying as two or more races is higher in Kerman at 22%, compared to 7% in Fleischmanns.
- A greater percentage of American Indian residents live in Fleischmanns at 4% compared to 2% in Kerman.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Fleischmanns | Kerman |
---|---|---|
Mental Health Not Good | 16.6% | 18.7% |
Physical Health Not Good | 12.2% | 15.8% |
Depression | 23.7% | 18.0% |
Smoking | 19.5% | 17.3% |
Binge Drinking | 17.0% | 13.1% |
Obesity | 35.0% | 39.5% |
Disability Percentage | 24.0% | 11.0% |
Health Statistics Comparison: Fleischmanns vs Kerman
- In Kerman, a higher percentage report poor mental health at 18.7% compared to 16.6% in Fleischmanns.
- Depression is more prevalent in Fleischmanns at 23.7% compared to 18.0% in Kerman.
- Smoking is more prevalent in Fleischmanns at 19.5% compared to 17.3% in Kerman.
- Binge drinking is more common in Fleischmanns at 17.0% compared to 13.1% in Kerman.
- Kerman has higher obesity rates at 39.5% compared to 35.0% in Fleischmanns.
- Disability percentages are higher in Fleischmanns at 24.0% compared to 11.0% in Kerman.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Fleischmanns | Kerman |
---|---|---|
No Schooling | 4.3% (10) | 4.3% (694) |
High School Diploma | 20.0% (46) | 10.4% (1,690) |
Less than High School | 21.7% (50) | 45.2% (7,334) |
Bachelor's Degree and Higher | 37.0% (85) | 7.3% (1,177) |
Education Levels Comparison: Fleischmanns vs Kerman
- The percentage of residents with no formal schooling is the same in both Fleischmanns and Kerman at 4.3%.
- A higher percentage of residents in Fleischmanns hold a high school diploma at 20.0% compared to 10.4% in Kerman.
- The percentage of residents with less than a high school education is higher in Kerman at 45.2%, compared to 21.7% in Fleischmanns.
- A higher percentage of residents in Fleischmanns hold a bachelor's degree or higher at 37.0% compared to 7.3% in Kerman.
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.