Demographics details for Albert lea, MN vs Norco, CA
Population Overview
Compare main population characteristics in Albert lea, MN vs Norco, CA.
Data | Albert lea | Norco |
---|---|---|
Population | 18,396 | 25,042 |
Median Age | 44.2 years | 41.4 years |
Median Income | $56,347 | $120,636 |
Married Families | 35.0% | 44.0% |
Poverty Level | 10% | 8% |
Unemployment Rate | 4.0 | 4.4 |
Population Comparison: Albert lea vs Norco
- The population in Norco is higher at 25,042, compared to 18,396 in Albert lea.
- Residents in Albert lea have a higher median age of 44.2 years compared to 41.4 years in Norco.
- Norco has a higher median income of $120,636, compared to $56,347 in Albert lea.
- In Norco, the percentage of married families is higher at 44.0%, compared to 35.0% in Albert lea.
- Albert lea has a higher poverty level at 10% compared to 8% in Norco.
- Norco has a higher unemployment rate at 4.4% compared to 4.0% in Albert lea.
Demographics
Demographics Albert lea vs Norco provide insight into the diversity of the communities to compare.
Demographic | Albert lea | Norco |
---|---|---|
Black | 2 | 3 |
White | 72 | 43 |
Asian | 3 | 4 |
Hispanic | 15 | 39 |
Two or More Races | 8 | 11 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Albert lea vs Norco
- In Norco, the percentage of Black residents is higher at 3% compared to 2% in Albert lea.
- Albert lea has a higher percentage of White residents at 72% compared to 43% in Norco.
- In Norco, the Asian population stands at 4%, greater than 3% in Albert lea.
- Norco has a higher percentage of Hispanic residents at 39%, compared to 15% in Albert lea.
- The percentage of residents identifying as two or more races is higher in Norco at 11%, compared to 8% in Albert lea.
- The percentage of American Indian residents is the same in both Albert lea and Norco at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Albert lea | Norco |
---|---|---|
Mental Health Not Good | 16.6% | 15.0% |
Physical Health Not Good | 11.3% | 10.5% |
Depression | 24.2% | 16.7% |
Smoking | 22.1% | 13.0% |
Binge Drinking | 18.3% | 18.8% |
Obesity | 38.0% | 34.6% |
Disability Percentage | 13.0% | 10.0% |
Health Statistics Comparison: Albert lea vs Norco
- More residents in Albert lea report poor mental health at 16.6% compared to 15.0% in Norco.
- Depression is more prevalent in Albert lea at 24.2% compared to 16.7% in Norco.
- Smoking is more prevalent in Albert lea at 22.1% compared to 13.0% in Norco.
- More residents engage in binge drinking in Norco at 18.8% compared to 18.3% in Albert lea.
- Obesity rates are higher in Albert lea at 38.0% compared to 34.6% in Norco.
- Disability percentages are higher in Albert lea at 13.0% compared to 10.0% in Norco.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Albert lea | Norco |
---|---|---|
No Schooling | 2.0% (370) | 1.4% (356) |
High School Diploma | 19.7% (3,624) | 21.7% (5,436) |
Less than High School | 20.0% (3,680) | 18.2% (4,553) |
Bachelor's Degree and Higher | 11.3% (2,086) | 15.5% (3,888) |
Education Levels Comparison: Albert lea vs Norco
- A higher percentage of residents in Albert lea have no formal schooling at 2.0% compared to 1.4% in Norco.
- In Norco, the rate of residents with high school diplomas is higher at 21.7% compared to 19.7% in Albert lea.
- More residents in Albert lea have less than a high school education at 20.0% compared to 18.2% in Norco.
- In Norco, a larger share of residents have a bachelor's degree or higher at 15.5% compared to 11.3% in Albert lea.
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.