Demographics details for Santa maria, CA vs Franklin, NE
Population Overview
Compare main population characteristics in Santa maria, CA vs Franklin, NE.
| Data | Santa maria | Franklin |
|---|---|---|
| Population | 110,125 | 2,873 |
| Median Age | 29.3 years | 49.8 years |
| Median Income | $81,237 | $55,625 |
| Married Families | 31.0% | 51.0% |
| Poverty Level | 15% | Data is updating |
| Unemployment Rate | 5.0 | 3.2 |
Population Comparison: Santa maria vs Franklin
- In Santa maria, the population is higher at 110,125, compared to 2,873 in Franklin.
- The median age in Franklin is higher at 49.8 years, compared to 29.3 years in Santa maria.
- Santa maria has a higher median income of $81,237 compared to $55,625 in Franklin.
- In Franklin, the percentage of married families is higher at 51.0%, compared to 31.0% in Santa maria.
- Santa maria has a higher poverty level at 15% compared to 0% in Franklin.
- The unemployment rate in Santa maria is higher at 5.0%, compared to 3.2% in Franklin.
Demographics
Demographics Santa maria vs Franklin provide insight into the diversity of the communities to compare.
| Demographic | Santa maria | Franklin |
|---|---|---|
| Black | 1 | Data is updating |
| White | -13 | 94 |
| Asian | 5 | Data is updating |
| Hispanic | 77 | 3 |
| Two or More Races | 28 | 2 |
| American Indian | 2 | 1 |
Demographics Comparison: Santa maria vs Franklin
- A higher percentage of Black residents are in Santa maria at 1% compared to 0% in Franklin.
- The percentage of White residents is higher in Franklin at 94% compared to -13% in Santa maria.
- The Asian population is larger in Santa maria at 5% compared to 0% in Franklin.
- The Hispanic community is larger in Santa maria at 77% compared to 3% in Franklin.
- More residents identify as two or more races in Santa maria at 28% compared to 2% in Franklin.
- A greater percentage of American Indian residents live in Santa maria at 2% compared to 1% in Franklin.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Santa maria | Franklin |
|---|---|---|
| Mental Health Not Good | 17.2% | 15.4% |
| Physical Health Not Good | 14.2% | 10.8% |
| Depression | 19.5% | 18.5% |
| Smoking | 15.3% | 19.6% |
| Binge Drinking | 14.9% | 20.2% |
| Obesity | 32.8% | 43.8% |
| Disability Percentage | 10.0% | 18.0% |
Health Statistics Comparison: Santa maria vs Franklin
- More residents in Santa maria report poor mental health at 17.2% compared to 15.4% in Franklin.
- Depression is more prevalent in Santa maria at 19.5% compared to 18.5% in Franklin.
- Franklin has a higher smoking rate at 19.6% compared to 15.3% in Santa maria.
- More residents engage in binge drinking in Franklin at 20.2% compared to 14.9% in Santa maria.
- Franklin has higher obesity rates at 43.8% compared to 32.8% in Santa maria.
- There is a higher percentage of disabled individuals in Franklin at 18.0% compared to 10.0% in Santa maria.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Santa maria | Franklin |
|---|---|---|
| No Schooling | 3.9% (4,329) | 0.2% (6) |
| High School Diploma | 10.4% (11,486) | 21.8% (627) |
| Less than High School | 40.4% (44,477) | 10.1% (289) |
| Bachelor's Degree and Higher | 8.1% (8,930) | 14.5% (416) |
Education Levels Comparison: Santa maria vs Franklin
- A higher percentage of residents in Santa maria have no formal schooling at 3.9% compared to 0.2% in Franklin.
- In Franklin, the rate of residents with high school diplomas is higher at 21.8% compared to 10.4% in Santa maria.
- More residents in Santa maria have less than a high school education at 40.4% compared to 10.1% in Franklin.
- In Franklin, a larger share of residents have a bachelor's degree or higher at 14.5% compared to 8.1% in Santa maria.
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.