Demographics details for Ithaca, MI vs Lawrence, MA
Population Overview
Compare main population characteristics in Ithaca, MI vs Lawrence, MA.
| Data | Ithaca | Lawrence |
|---|---|---|
| Population | 2,808 | 87,954 |
| Median Age | 42.2 years | 31.5 years |
| Median Income | $60,389 | $53,977 |
| Married Families | 39.0% | 26.0% |
| Poverty Level | 13% | 15% |
| Unemployment Rate | 4.5 | 7.1 |
Population Comparison: Ithaca vs Lawrence
- The population in Lawrence is higher at 87,954, compared to 2,808 in Ithaca.
- Residents in Ithaca have a higher median age of 42.2 years compared to 31.5 years in Lawrence.
- Ithaca has a higher median income of $60,389 compared to $53,977 in Lawrence.
- A higher percentage of married families is found in Ithaca at 39.0% compared to 26.0% in Lawrence.
- The poverty level is higher in Lawrence at 15%, compared to 13% in Ithaca.
- Lawrence has a higher unemployment rate at 7.1% compared to 4.5% in Ithaca.
Demographics
Demographics Ithaca vs Lawrence provide insight into the diversity of the communities to compare.
| Demographic | Ithaca | Lawrence |
|---|---|---|
| Black | 1 | 5 |
| White | 87 | -4 |
| Asian | Data is updating | 2 |
| Hispanic | 8 | 82 |
| Two or More Races | 3 | 15 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Ithaca vs Lawrence
- In Lawrence, the percentage of Black residents is higher at 5% compared to 1% in Ithaca.
- Ithaca has a higher percentage of White residents at 87% compared to -4% in Lawrence.
- In Lawrence, the Asian population stands at 2%, greater than 0% in Ithaca.
- Lawrence has a higher percentage of Hispanic residents at 82%, compared to 8% in Ithaca.
- The percentage of residents identifying as two or more races is higher in Lawrence at 15%, compared to 3% in Ithaca.
- A greater percentage of American Indian residents live in Ithaca at 1% compared to 0% in Lawrence.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Ithaca | Lawrence |
|---|---|---|
| Mental Health Not Good | 18.5% | 18.9% |
| Physical Health Not Good | 12.1% | 14.2% |
| Depression | 27.0% | 22.4% |
| Smoking | 21.2% | 17.3% |
| Binge Drinking | 18.0% | 14.5% |
| Obesity | 36.4% | 37.4% |
| Disability Percentage | 16.0% | 14.0% |
Health Statistics Comparison: Ithaca vs Lawrence
- In Lawrence, a higher percentage report poor mental health at 18.9% compared to 18.5% in Ithaca.
- Depression is more prevalent in Ithaca at 27.0% compared to 22.4% in Lawrence.
- Smoking is more prevalent in Ithaca at 21.2% compared to 17.3% in Lawrence.
- Binge drinking is more common in Ithaca at 18.0% compared to 14.5% in Lawrence.
- Lawrence has higher obesity rates at 37.4% compared to 36.4% in Ithaca.
- Disability percentages are higher in Ithaca at 16.0% compared to 14.0% in Lawrence.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Ithaca | Lawrence |
|---|---|---|
| No Schooling | 1.5% (43) | 2.7% (2,366) |
| High School Diploma | 21.4% (602) | 18.6% (16,316) |
| Less than High School | 13.1% (368) | 34.1% (29,963) |
| Bachelor's Degree and Higher | 17.6% (495) | 9.2% (8,067) |
Education Levels Comparison: Ithaca vs Lawrence
- In Lawrence, a larger percentage of residents lack formal schooling at 2.7% compared to 1.5% in Ithaca.
- A higher percentage of residents in Ithaca hold a high school diploma at 21.4% compared to 18.6% in Lawrence.
- The percentage of residents with less than a high school education is higher in Lawrence at 34.1%, compared to 13.1% in Ithaca.
- A higher percentage of residents in Ithaca hold a bachelor's degree or higher at 17.6% compared to 9.2% in Lawrence.
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.