Demographics details for Marianna, AR vs Ithaca, MI
Population Overview
Compare main population characteristics in Marianna, AR vs Ithaca, MI.
| Data | Marianna | Ithaca |
|---|---|---|
| Population | 3,432 | 2,808 |
| Median Age | 41.7 years | 42.2 years |
| Median Income | $21,057 | $60,389 |
| Married Families | 16.0% | 39.0% |
| Poverty Level | 20% | 13% |
| Unemployment Rate | 5.2 | 4.5 |
Population Comparison: Marianna vs Ithaca
- In Marianna, the population is higher at 3,432, compared to 2,808 in Ithaca.
- The median age in Ithaca is higher at 42.2 years, compared to 41.7 years in Marianna.
- Ithaca has a higher median income of $60,389, compared to $21,057 in Marianna.
- In Ithaca, the percentage of married families is higher at 39.0%, compared to 16.0% in Marianna.
- Marianna has a higher poverty level at 20% compared to 13% in Ithaca.
- The unemployment rate in Marianna is higher at 5.2%, compared to 4.5% in Ithaca.
Demographics
Demographics Marianna vs Ithaca provide insight into the diversity of the communities to compare.
| Demographic | Marianna | Ithaca |
|---|---|---|
| Black | 84 | 1 |
| White | 14 | 87 |
| Asian | Data is updating | Data is updating |
| Hispanic | Data is updating | 8 |
| Two or More Races | 2 | 3 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Marianna vs Ithaca
- A higher percentage of Black residents are in Marianna at 84% compared to 1% in Ithaca.
- The percentage of White residents is higher in Ithaca at 87% compared to 14% in Marianna.
- Both Marianna and Ithaca have the same percentage of Asian residents at 0%.
- Ithaca has a higher percentage of Hispanic residents at 8%, compared to 0% in Marianna.
- The percentage of residents identifying as two or more races is higher in Ithaca at 3%, compared to 2% in Marianna.
- In Ithaca, the percentage of American Indian residents is higher at 1%, compared to 0% in Marianna.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Marianna | Ithaca |
|---|---|---|
| Mental Health Not Good | 22.0% | 18.5% |
| Physical Health Not Good | 17.6% | 12.1% |
| Depression | 23.8% | 27.0% |
| Smoking | 28.5% | 21.2% |
| Binge Drinking | 10.9% | 18.0% |
| Obesity | 49.3% | 36.4% |
| Disability Percentage | 22.0% | 16.0% |
Health Statistics Comparison: Marianna vs Ithaca
- More residents in Marianna report poor mental health at 22.0% compared to 18.5% in Ithaca.
- Higher depression rates are seen in Ithaca at 27.0% versus 23.8% in Marianna.
- Smoking is more prevalent in Marianna at 28.5% compared to 21.2% in Ithaca.
- More residents engage in binge drinking in Ithaca at 18.0% compared to 10.9% in Marianna.
- Obesity rates are higher in Marianna at 49.3% compared to 36.4% in Ithaca.
- Disability percentages are higher in Marianna at 22.0% compared to 16.0% in Ithaca.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Marianna | Ithaca |
|---|---|---|
| No Schooling | 0.3% (10) | 1.5% (43) |
| High School Diploma | 30.3% (1,041) | 21.4% (602) |
| Less than High School | 9.1% (312) | 13.1% (368) |
| Bachelor's Degree and Higher | 3.3% (113) | 17.6% (495) |
Education Levels Comparison: Marianna vs Ithaca
- In Ithaca, a larger percentage of residents lack formal schooling at 1.5% compared to 0.3% in Marianna.
- A higher percentage of residents in Marianna hold a high school diploma at 30.3% compared to 21.4% in Ithaca.
- The percentage of residents with less than a high school education is higher in Ithaca at 13.1%, compared to 9.1% in Marianna.
- In Ithaca, a larger share of residents have a bachelor's degree or higher at 17.6% compared to 3.3% in Marianna.
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.