Demographics details for Santa clarita, CA vs Howard, CO
Population Overview
Compare main population characteristics in Santa clarita, CA vs Howard, CO.
| Data | Santa clarita | Howard |
|---|---|---|
| Population | 221,345 | 976 |
| Median Age | 37.3 years | 45.0 years |
| Median Income | $116,186 | $55,970 |
| Married Families | 43.0% | 64.0% |
| Poverty Level | 8% | 10% |
| Unemployment Rate | 5.7 | 3.5 |
Population Comparison: Santa clarita vs Howard
- In Santa clarita, the population is higher at 221,345, compared to 976 in Howard.
- The median age in Howard is higher at 45.0 years, compared to 37.3 years in Santa clarita.
- Santa clarita has a higher median income of $116,186 compared to $55,970 in Howard.
- In Howard, the percentage of married families is higher at 64.0%, compared to 43.0% in Santa clarita.
- The poverty level is higher in Howard at 10%, compared to 8% in Santa clarita.
- The unemployment rate in Santa clarita is higher at 5.7%, compared to 3.5% in Howard.
Demographics
Demographics Santa clarita vs Howard provide insight into the diversity of the communities to compare.
| Demographic | Santa clarita | Howard |
|---|---|---|
| Black | 4 | 3 |
| White | 30 | 90 |
| Asian | 11 | Data is updating |
| Hispanic | 37 | 5 |
| Two or More Races | 17 | 2 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Santa clarita vs Howard
- A higher percentage of Black residents are in Santa clarita at 4% compared to 3% in Howard.
- The percentage of White residents is higher in Howard at 90% compared to 30% in Santa clarita.
- The Asian population is larger in Santa clarita at 11% compared to 0% in Howard.
- The Hispanic community is larger in Santa clarita at 37% compared to 5% in Howard.
- More residents identify as two or more races in Santa clarita at 17% compared to 2% in Howard.
- A greater percentage of American Indian residents live in Santa clarita at 1% compared to 0% in Howard.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Santa clarita | Howard |
|---|---|---|
| Mental Health Not Good | 14.7% | 17.0% |
| Physical Health Not Good | 9.6% | 11.2% |
| Depression | 16.8% | 24.2% |
| Smoking | 9.7% | 17.5% |
| Binge Drinking | 17.1% | 18.6% |
| Obesity | 26.2% | 27.3% |
| Disability Percentage | 10.0% | 19.0% |
Health Statistics Comparison: Santa clarita vs Howard
- In Howard, a higher percentage report poor mental health at 17.0% compared to 14.7% in Santa clarita.
- Higher depression rates are seen in Howard at 24.2% versus 16.8% in Santa clarita.
- Howard has a higher smoking rate at 17.5% compared to 9.7% in Santa clarita.
- More residents engage in binge drinking in Howard at 18.6% compared to 17.1% in Santa clarita.
- Howard has higher obesity rates at 27.3% compared to 26.2% in Santa clarita.
- There is a higher percentage of disabled individuals in Howard at 19.0% compared to 10.0% in Santa clarita.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Santa clarita | Howard |
|---|---|---|
| No Schooling | 1.4% (3,097) | 0.0% (Data is updating) |
| High School Diploma | 10.7% (23,725) | 31.8% (310) |
| Less than High School | 11.7% (25,882) | 1.4% (14) |
| Bachelor's Degree and Higher | 26.1% (57,684) | 19.1% (186) |
Education Levels Comparison: Santa clarita vs Howard
- A higher percentage of residents in Santa clarita have no formal schooling at 1.4% compared to 0.0% in Howard.
- In Howard, the rate of residents with high school diplomas is higher at 31.8% compared to 10.7% in Santa clarita.
- More residents in Santa clarita have less than a high school education at 11.7% compared to 1.4% in Howard.
- A higher percentage of residents in Santa clarita hold a bachelor's degree or higher at 26.1% compared to 19.1% in Howard.
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.