Demographics details for Earlham, IA vs Marshall, CA
Population Overview
Compare main population characteristics in Earlham, IA vs Marshall, CA.
| Data | Earlham | Marshall |
|---|---|---|
| Population | 1,423 | 533 |
| Median Age | 41.1 years | 42.0 years |
| Median Income | $103,977 | $90,000 |
| Married Families | 45.0% | 60.0% |
| Poverty Level | 5% | 5% |
| Unemployment Rate | 3.2 | 3.0 |
Population Comparison: Earlham vs Marshall
- In Earlham, the population is higher at 1,423, compared to 533 in Marshall.
- The median age in Marshall is higher at 42.0 years, compared to 41.1 years in Earlham.
- Earlham has a higher median income of $103,977 compared to $90,000 in Marshall.
- In Marshall, the percentage of married families is higher at 60.0%, compared to 45.0% in Earlham.
- The poverty level is identical in both Earlham and Marshall at 5%.
- The unemployment rate in Earlham is higher at 3.2%, compared to 3.0% in Marshall.
Demographics
Demographics Earlham vs Marshall provide insight into the diversity of the communities to compare.
| Demographic | Earlham | Marshall |
|---|---|---|
| Black | 2 | Data is updating |
| White | 95 | 90 |
| Asian | Data is updating | 2 |
| Hispanic | 1 | 5 |
| Two or More Races | 2 | 3 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Earlham vs Marshall
- A higher percentage of Black residents are in Earlham at 2% compared to 0% in Marshall.
- Earlham has a higher percentage of White residents at 95% compared to 90% in Marshall.
- In Marshall, the Asian population stands at 2%, greater than 0% in Earlham.
- Marshall has a higher percentage of Hispanic residents at 5%, compared to 1% in Earlham.
- The percentage of residents identifying as two or more races is higher in Marshall at 3%, compared to 2% in Earlham.
- The percentage of American Indian residents is the same in both Earlham and Marshall at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Earlham | Marshall |
|---|---|---|
| Mental Health Not Good | 14.4% | Data is updating% |
| Physical Health Not Good | 8.5% | Data is updating% |
| Depression | 18.4% | Data is updating% |
| Smoking | 14.6% | Data is updating% |
| Binge Drinking | 23.0% | Data is updating% |
| Obesity | 37.3% | Data is updating% |
| Disability Percentage | 10.0% | Data is updating% |
Health Statistics Comparison: Earlham vs Marshall
- More residents in Earlham report poor mental health at 14.4% compared to 0.0% in Marshall.
- Depression is more prevalent in Earlham at 18.4% compared to 0.0% in Marshall.
- Smoking is more prevalent in Earlham at 14.6% compared to 0.0% in Marshall.
- Binge drinking is more common in Earlham at 23.0% compared to 0.0% in Marshall.
- Obesity rates are higher in Earlham at 37.3% compared to 0.0% in Marshall.
- Disability percentages are higher in Earlham at 10.0% compared to 0.0% in Marshall.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Earlham | Marshall |
|---|---|---|
| No Schooling | 0.7% (10) | 0.0% (Data is updating) |
| High School Diploma | 13.8% (197) | 0.0% (Data is updating) |
| Less than High School | 6.0% (85) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 17.0% (242) | 0.0% (Data is updating) |
Education Levels Comparison: Earlham vs Marshall
- A higher percentage of residents in Earlham have no formal schooling at 0.7% compared to 0.0% in Marshall.
- A higher percentage of residents in Earlham hold a high school diploma at 13.8% compared to 0.0% in Marshall.
- More residents in Earlham have less than a high school education at 6.0% compared to 0.0% in Marshall.
- A higher percentage of residents in Earlham hold a bachelor's degree or higher at 17.0% compared to 0.0% in Marshall.
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.