Demographics details for Marshalltown, IA vs Helper, UT
Population Overview
Compare main population characteristics in Marshalltown, IA vs Helper, UT.
| Data | Marshalltown | Helper |
|---|---|---|
| Population | 27,433 | 2,131 |
| Median Age | 35.5 years | 43.2 years |
| Median Income | $65,000 | $59,323 |
| Married Families | 39.0% | 61.0% |
| Poverty Level | 14% | 11% |
| Unemployment Rate | 6.5 | 2.5 |
Population Comparison: Marshalltown vs Helper
- In Marshalltown, the population is higher at 27,433, compared to 2,131 in Helper.
- The median age in Helper is higher at 43.2 years, compared to 35.5 years in Marshalltown.
- Marshalltown has a higher median income of $65,000 compared to $59,323 in Helper.
- In Helper, the percentage of married families is higher at 61.0%, compared to 39.0% in Marshalltown.
- Marshalltown has a higher poverty level at 14% compared to 11% in Helper.
- The unemployment rate in Marshalltown is higher at 6.5%, compared to 2.5% in Helper.
Demographics
Demographics Marshalltown vs Helper provide insight into the diversity of the communities to compare.
| Demographic | Marshalltown | Helper |
|---|---|---|
| Black | 3 | Data is updating |
| White | 45 | 85 |
| Asian | 5 | Data is updating |
| Hispanic | 34 | 10 |
| Two or More Races | 12 | 5 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Marshalltown vs Helper
- A higher percentage of Black residents are in Marshalltown at 3% compared to 0% in Helper.
- The percentage of White residents is higher in Helper at 85% compared to 45% in Marshalltown.
- The Asian population is larger in Marshalltown at 5% compared to 0% in Helper.
- The Hispanic community is larger in Marshalltown at 34% compared to 10% in Helper.
- More residents identify as two or more races in Marshalltown at 12% compared to 5% in Helper.
- A greater percentage of American Indian residents live in Marshalltown at 1% compared to 0% in Helper.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Marshalltown | Helper |
|---|---|---|
| Mental Health Not Good | 17.6% | 17.1% |
| Physical Health Not Good | 11.6% | 11.4% |
| Depression | 23.0% | 25.3% |
| Smoking | 20.7% | 11.5% |
| Binge Drinking | 19.4% | 14.2% |
| Obesity | 38.6% | 36.9% |
| Disability Percentage | 12.0% | 26.0% |
Health Statistics Comparison: Marshalltown vs Helper
- More residents in Marshalltown report poor mental health at 17.6% compared to 17.1% in Helper.
- Higher depression rates are seen in Helper at 25.3% versus 23.0% in Marshalltown.
- Smoking is more prevalent in Marshalltown at 20.7% compared to 11.5% in Helper.
- Binge drinking is more common in Marshalltown at 19.4% compared to 14.2% in Helper.
- Obesity rates are higher in Marshalltown at 38.6% compared to 36.9% in Helper.
- There is a higher percentage of disabled individuals in Helper at 26.0% compared to 12.0% in Marshalltown.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Marshalltown | Helper |
|---|---|---|
| No Schooling | 2.4% (646) | 0.0% (Data is updating) |
| High School Diploma | 17.3% (4,740) | 23.4% (499) |
| Less than High School | 23.6% (6,481) | 8.7% (185) |
| Bachelor's Degree and Higher | 12.2% (3,347) | 18.7% (399) |
Education Levels Comparison: Marshalltown vs Helper
- A higher percentage of residents in Marshalltown have no formal schooling at 2.4% compared to 0.0% in Helper.
- In Helper, the rate of residents with high school diplomas is higher at 23.4% compared to 17.3% in Marshalltown.
- More residents in Marshalltown have less than a high school education at 23.6% compared to 8.7% in Helper.
- In Helper, a larger share of residents have a bachelor's degree or higher at 18.7% compared to 12.2% in Marshalltown.
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.