Demographics details for San leandro, CA vs Kimmell, IN
Population Overview
Compare main population characteristics in San leandro, CA vs Kimmell, IN.
Data | San leandro | Kimmell |
---|---|---|
Population | 86,762 | 453 |
Median Age | 41.5 years | 37.4 years |
Median Income | $97,141 | $36,667 |
Married Families | 40.0% | 30.0% |
Poverty Level | 12% | 8% |
Unemployment Rate | 4.8 | 3.2 |
Population Comparison: San leandro vs Kimmell
- In San leandro, the population is higher at 86,762, compared to 453 in Kimmell.
- Residents in San leandro have a higher median age of 41.5 years compared to 37.4 years in Kimmell.
- San leandro has a higher median income of $97,141 compared to $36,667 in Kimmell.
- A higher percentage of married families is found in San leandro at 40.0% compared to 30.0% in Kimmell.
- San leandro has a higher poverty level at 12% compared to 8% in Kimmell.
- The unemployment rate in San leandro is higher at 4.8%, compared to 3.2% in Kimmell.
Demographics
Demographics San leandro vs Kimmell provide insight into the diversity of the communities to compare.
Demographic | San leandro | Kimmell |
---|---|---|
Black | 11 | Data is updating |
White | 12 | 100 |
Asian | 36 | Data is updating |
Hispanic | 29 | Data is updating |
Two or More Races | 11 | Data is updating |
American Indian | 1 | Data is updating |
Demographics Comparison: San leandro vs Kimmell
- A higher percentage of Black residents are in San leandro at 11% compared to 0% in Kimmell.
- The percentage of White residents is higher in Kimmell at 100% compared to 12% in San leandro.
- The Asian population is larger in San leandro at 36% compared to 0% in Kimmell.
- The Hispanic community is larger in San leandro at 29% compared to 0% in Kimmell.
- More residents identify as two or more races in San leandro at 11% compared to 0% in Kimmell.
- A greater percentage of American Indian residents live in San leandro at 1% compared to 0% in Kimmell.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | San leandro | Kimmell |
---|---|---|
Mental Health Not Good | 15.1% | 16.7% |
Physical Health Not Good | 9.9% | 11.3% |
Depression | 16.8% | 26.2% |
Smoking | 11.1% | 19.2% |
Binge Drinking | 14.6% | 17.4% |
Obesity | 26.7% | 39.8% |
Disability Percentage | 11.0% | 18.0% |
Health Statistics Comparison: San leandro vs Kimmell
- In Kimmell, a higher percentage report poor mental health at 16.7% compared to 15.1% in San leandro.
- Higher depression rates are seen in Kimmell at 26.2% versus 16.8% in San leandro.
- Kimmell has a higher smoking rate at 19.2% compared to 11.1% in San leandro.
- More residents engage in binge drinking in Kimmell at 17.4% compared to 14.6% in San leandro.
- Kimmell has higher obesity rates at 39.8% compared to 26.7% in San leandro.
- There is a higher percentage of disabled individuals in Kimmell at 18.0% compared to 11.0% in San leandro.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | San leandro | Kimmell |
---|---|---|
No Schooling | 3.5% (2,999) | 0.0% (Data is updating) |
High School Diploma | 16.2% (14,031) | 28.7% (130) |
Less than High School | 17.8% (15,482) | 41.5% (188) |
Bachelor's Degree and Higher | 25.2% (21,903) | 2.0% (9) |
Education Levels Comparison: San leandro vs Kimmell
- A higher percentage of residents in San leandro have no formal schooling at 3.5% compared to 0.0% in Kimmell.
- In Kimmell, the rate of residents with high school diplomas is higher at 28.7% compared to 16.2% in San leandro.
- The percentage of residents with less than a high school education is higher in Kimmell at 41.5%, compared to 17.8% in San leandro.
- A higher percentage of residents in San leandro hold a bachelor's degree or higher at 25.2% compared to 2.0% in Kimmell.
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.