Demographics details for Lawrence, MA vs Cedar falls, IA
Population Overview
Compare main population characteristics in Lawrence, MA vs Cedar falls, IA.
Data | Lawrence | Cedar falls |
---|---|---|
Population | 87,954 | 40,746 |
Median Age | 31.5 years | 28.0 years |
Median Income | $53,977 | $71,011 |
Married Families | 26.0% | 36.0% |
Poverty Level | 15% | 8% |
Unemployment Rate | 7.1 | 2.9 |
Population Comparison: Lawrence vs Cedar falls
- In Lawrence, the population is higher at 87,954, compared to 40,746 in Cedar falls.
- Residents in Lawrence have a higher median age of 31.5 years compared to 28.0 years in Cedar falls.
- Cedar falls has a higher median income of $71,011, compared to $53,977 in Lawrence.
- In Cedar falls, the percentage of married families is higher at 36.0%, compared to 26.0% in Lawrence.
- Lawrence has a higher poverty level at 15% compared to 8% in Cedar falls.
- The unemployment rate in Lawrence is higher at 7.1%, compared to 2.9% in Cedar falls.
Demographics
Demographics Lawrence vs Cedar falls provide insight into the diversity of the communities to compare.
Demographic | Lawrence | Cedar falls |
---|---|---|
Black | 5 | 1 |
White | -4 | 90 |
Asian | 2 | 4 |
Hispanic | 82 | 3 |
Two or More Races | 15 | 2 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Lawrence vs Cedar falls
- A higher percentage of Black residents are in Lawrence at 5% compared to 1% in Cedar falls.
- The percentage of White residents is higher in Cedar falls at 90% compared to -4% in Lawrence.
- In Cedar falls, the Asian population stands at 4%, greater than 2% in Lawrence.
- The Hispanic community is larger in Lawrence at 82% compared to 3% in Cedar falls.
- More residents identify as two or more races in Lawrence at 15% compared to 2% in Cedar falls.
- The percentage of American Indian residents is the same in both Lawrence and Cedar falls at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Lawrence | Cedar falls |
---|---|---|
Mental Health Not Good | 18.9% | 15.5% |
Physical Health Not Good | 14.2% | 9.0% |
Depression | 22.4% | 19.8% |
Smoking | 17.3% | 14.9% |
Binge Drinking | 14.5% | 22.2% |
Obesity | 37.4% | 34.8% |
Disability Percentage | 14.0% | 10.0% |
Health Statistics Comparison: Lawrence vs Cedar falls
- More residents in Lawrence report poor mental health at 18.9% compared to 15.5% in Cedar falls.
- Depression is more prevalent in Lawrence at 22.4% compared to 19.8% in Cedar falls.
- Smoking is more prevalent in Lawrence at 17.3% compared to 14.9% in Cedar falls.
- More residents engage in binge drinking in Cedar falls at 22.2% compared to 14.5% in Lawrence.
- Obesity rates are higher in Lawrence at 37.4% compared to 34.8% in Cedar falls.
- Disability percentages are higher in Lawrence at 14.0% compared to 10.0% in Cedar falls.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Lawrence | Cedar falls |
---|---|---|
No Schooling | 2.7% (2,366) | 0.1% (43) |
High School Diploma | 18.6% (16,316) | 9.6% (3,893) |
Less than High School | 34.1% (29,963) | 2.8% (1,147) |
Bachelor's Degree and Higher | 9.2% (8,067) | 26.8% (10,913) |
Education Levels Comparison: Lawrence vs Cedar falls
- A higher percentage of residents in Lawrence have no formal schooling at 2.7% compared to 0.1% in Cedar falls.
- A higher percentage of residents in Lawrence hold a high school diploma at 18.6% compared to 9.6% in Cedar falls.
- More residents in Lawrence have less than a high school education at 34.1% compared to 2.8% in Cedar falls.
- In Cedar falls, a larger share of residents have a bachelor's degree or higher at 26.8% 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.