Demographics details for Folsom, CA vs Palestine, TX
Population Overview
Compare main population characteristics in Folsom, CA vs Palestine, TX.
| Data | Folsom | Palestine |
|---|---|---|
| Population | 83,269 | 18,981 |
| Median Age | 39.9 years | 33.1 years |
| Median Income | $134,935 | $43,759 |
| Married Families | 44.0% | 36.0% |
| Poverty Level | 7% | 12% |
| Unemployment Rate | 3.8 | 4.1 |
Population Comparison: Folsom vs Palestine
- In Folsom, the population is higher at 83,269, compared to 18,981 in Palestine.
- Residents in Folsom have a higher median age of 39.9 years compared to 33.1 years in Palestine.
- Folsom has a higher median income of $134,935 compared to $43,759 in Palestine.
- A higher percentage of married families is found in Folsom at 44.0% compared to 36.0% in Palestine.
- The poverty level is higher in Palestine at 12%, compared to 7% in Folsom.
- Palestine has a higher unemployment rate at 4.1% compared to 3.8% in Folsom.
Demographics
Demographics Folsom vs Palestine provide insight into the diversity of the communities to compare.
| Demographic | Folsom | Palestine |
|---|---|---|
| Black | 4 | 28 |
| White | 54 | 37 |
| Asian | 18 | Data is updating |
| Hispanic | 14 | 23 |
| Two or More Races | 10 | 12 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Folsom vs Palestine
- In Palestine, the percentage of Black residents is higher at 28% compared to 4% in Folsom.
- Folsom has a higher percentage of White residents at 54% compared to 37% in Palestine.
- The Asian population is larger in Folsom at 18% compared to 0% in Palestine.
- Palestine has a higher percentage of Hispanic residents at 23%, compared to 14% in Folsom.
- The percentage of residents identifying as two or more races is higher in Palestine at 12%, compared to 10% in Folsom.
- The percentage of American Indian residents is the same in both Folsom and Palestine at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Folsom | Palestine |
|---|---|---|
| Mental Health Not Good | 13.9% | 20.1% |
| Physical Health Not Good | 8.4% | 14.9% |
| Depression | 17.7% | 24.7% |
| Smoking | 9.5% | 22.9% |
| Binge Drinking | 17.8% | 16.1% |
| Obesity | 28.0% | 44.1% |
| Disability Percentage | 7.0% | 15.0% |
Health Statistics Comparison: Folsom vs Palestine
- In Palestine, a higher percentage report poor mental health at 20.1% compared to 13.9% in Folsom.
- Higher depression rates are seen in Palestine at 24.7% versus 17.7% in Folsom.
- Palestine has a higher smoking rate at 22.9% compared to 9.5% in Folsom.
- Binge drinking is more common in Folsom at 17.8% compared to 16.1% in Palestine.
- Palestine has higher obesity rates at 44.1% compared to 28.0% in Folsom.
- There is a higher percentage of disabled individuals in Palestine at 15.0% compared to 7.0% in Folsom.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Folsom | Palestine |
|---|---|---|
| No Schooling | 0.5% (451) | 1.7% (323) |
| High School Diploma | 7.7% (6,439) | 18.3% (3,466) |
| Less than High School | 6.1% (5,119) | 11.8% (2,233) |
| Bachelor's Degree and Higher | 36.4% (30,311) | 10.0% (1,897) |
Education Levels Comparison: Folsom vs Palestine
- In Palestine, a larger percentage of residents lack formal schooling at 1.7% compared to 0.5% in Folsom.
- In Palestine, the rate of residents with high school diplomas is higher at 18.3% compared to 7.7% in Folsom.
- The percentage of residents with less than a high school education is higher in Palestine at 11.8%, compared to 6.1% in Folsom.
- A higher percentage of residents in Folsom hold a bachelor's degree or higher at 36.4% compared to 10.0% in Palestine.
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.