Demographics details for Pinola, MS vs Cedar falls, IA
Population Overview
Compare main population characteristics in Pinola, MS vs Cedar falls, IA.
Data | Pinola | Cedar falls |
---|---|---|
Population | 540 | 40,746 |
Median Age | 36.0 years | 28.0 years |
Median Income | $45,000 | $71,011 |
Married Families | 60.0% | 36.0% |
Poverty Level | 15% | 8% |
Unemployment Rate | 5.0 | 2.9 |
Population Comparison: Pinola vs Cedar falls
- The population in Cedar falls is higher at 40,746, compared to 540 in Pinola.
- Residents in Pinola have a higher median age of 36.0 years compared to 28.0 years in Cedar falls.
- Cedar falls has a higher median income of $71,011, compared to $45,000 in Pinola.
- A higher percentage of married families is found in Pinola at 60.0% compared to 36.0% in Cedar falls.
- Pinola has a higher poverty level at 15% compared to 8% in Cedar falls.
- The unemployment rate in Pinola is higher at 5.0%, compared to 2.9% in Cedar falls.
Demographics
Demographics Pinola vs Cedar falls provide insight into the diversity of the communities to compare.
Demographic | Pinola | Cedar falls |
---|---|---|
Black | 20 | 1 |
White | 75 | 90 |
Asian | 2 | 4 |
Hispanic | 3 | 3 |
Two or More Races | Data is updating | 2 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Pinola vs Cedar falls
- A higher percentage of Black residents are in Pinola at 20% compared to 1% in Cedar falls.
- The percentage of White residents is higher in Cedar falls at 90% compared to 75% in Pinola.
- In Cedar falls, the Asian population stands at 4%, greater than 2% in Pinola.
- The percentage of Hispanic residents is the same in both Pinola and Cedar falls at 3%.
- The percentage of residents identifying as two or more races is higher in Cedar falls at 2%, compared to 0% in Pinola.
- The percentage of American Indian residents is the same in both Pinola and Cedar falls at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Pinola | Cedar falls |
---|---|---|
Mental Health Not Good | Data is updating% | 15.5% |
Physical Health Not Good | Data is updating% | 9.0% |
Depression | Data is updating% | 19.8% |
Smoking | Data is updating% | 14.9% |
Binge Drinking | Data is updating% | 22.2% |
Obesity | Data is updating% | 34.8% |
Disability Percentage | Data is updating% | 10.0% |
Health Statistics Comparison: Pinola vs Cedar falls
- In Cedar falls, a higher percentage report poor mental health at 15.5% compared to 0.0% in Pinola.
- Higher depression rates are seen in Cedar falls at 19.8% versus 0.0% in Pinola.
- Cedar falls has a higher smoking rate at 14.9% compared to 0.0% in Pinola.
- More residents engage in binge drinking in Cedar falls at 22.2% compared to 0.0% in Pinola.
- Cedar falls has higher obesity rates at 34.8% compared to 0.0% in Pinola.
- There is a higher percentage of disabled individuals in Cedar falls at 10.0% compared to 0.0% in Pinola.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Pinola | Cedar falls |
---|---|---|
No Schooling | 0.0% (Data is updating) | 0.1% (43) |
High School Diploma | 0.0% (Data is updating) | 9.6% (3,893) |
Less than High School | 0.0% (Data is updating) | 2.8% (1,147) |
Bachelor's Degree and Higher | 0.0% (Data is updating) | 26.8% (10,913) |
Education Levels Comparison: Pinola vs Cedar falls
- In Cedar falls, a larger percentage of residents lack formal schooling at 0.1% compared to 0.0% in Pinola.
- In Cedar falls, the rate of residents with high school diplomas is higher at 9.6% compared to 0.0% in Pinola.
- The percentage of residents with less than a high school education is higher in Cedar falls at 2.8%, compared to 0.0% in Pinola.
- In Cedar falls, a larger share of residents have a bachelor's degree or higher at 26.8% compared to 0.0% in Pinola.
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.