Demographics details for College station, TX vs Malmo, NE
Population Overview
Compare main population characteristics in College station, TX vs Malmo, NE.
Data | College station | Malmo |
---|---|---|
Population | 124,319 | 96 |
Median Age | 22.9 years | 39.5 years |
Median Income | $52,397 | $72,500 |
Married Families | 26.0% | 83.0% |
Poverty Level | 12% | Data is updating |
Unemployment Rate | 3.7 | 3.2 |
Population Comparison: College station vs Malmo
- In College station, the population is higher at 124,319, compared to 96 in Malmo.
- The median age in Malmo is higher at 39.5 years, compared to 22.9 years in College station.
- Malmo has a higher median income of $72,500, compared to $52,397 in College station.
- In Malmo, the percentage of married families is higher at 83.0%, compared to 26.0% in College station.
- College station has a higher poverty level at 12% compared to 0% in Malmo.
- The unemployment rate in College station is higher at 3.7%, compared to 3.2% in Malmo.
Demographics
Demographics College station vs Malmo provide insight into the diversity of the communities to compare.
Demographic | College station | Malmo |
---|---|---|
Black | 8 | 3 |
White | 56 | 57 |
Asian | 10 | Data is updating |
Hispanic | 17 | 20 |
Two or More Races | 9 | 20 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: College station vs Malmo
- A higher percentage of Black residents are in College station at 8% compared to 3% in Malmo.
- The percentage of White residents is higher in Malmo at 57% compared to 56% in College station.
- The Asian population is larger in College station at 10% compared to 0% in Malmo.
- Malmo has a higher percentage of Hispanic residents at 20%, compared to 17% in College station.
- The percentage of residents identifying as two or more races is higher in Malmo at 20%, compared to 9% in College station.
- The percentage of American Indian residents is the same in both College station and Malmo at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | College station | Malmo |
---|---|---|
Mental Health Not Good | 16.6% | 13.2% |
Physical Health Not Good | 10.4% | 8.8% |
Depression | 23.0% | 17.3% |
Smoking | 14.4% | 15.2% |
Binge Drinking | 18.1% | 22.8% |
Obesity | 32.1% | 35.6% |
Disability Percentage | 6.0% | 5.0% |
Health Statistics Comparison: College station vs Malmo
- More residents in College station report poor mental health at 16.6% compared to 13.2% in Malmo.
- Depression is more prevalent in College station at 23.0% compared to 17.3% in Malmo.
- Malmo has a higher smoking rate at 15.2% compared to 14.4% in College station.
- More residents engage in binge drinking in Malmo at 22.8% compared to 18.1% in College station.
- Malmo has higher obesity rates at 35.6% compared to 32.1% in College station.
- Disability percentages are higher in College station at 6.0% compared to 5.0% in Malmo.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | College station | Malmo |
---|---|---|
No Schooling | 0.5% (601) | 0.0% (Data is updating) |
High School Diploma | 4.7% (5,861) | 25.0% (24) |
Less than High School | 3.2% (4,000) | 6.2% (6) |
Bachelor's Degree and Higher | 24.2% (30,039) | 11.5% (11) |
Education Levels Comparison: College station vs Malmo
- A higher percentage of residents in College station have no formal schooling at 0.5% compared to 0.0% in Malmo.
- In Malmo, the rate of residents with high school diplomas is higher at 25.0% compared to 4.7% in College station.
- The percentage of residents with less than a high school education is higher in Malmo at 6.2%, compared to 3.2% in College station.
- A higher percentage of residents in College station hold a bachelor's degree or higher at 24.2% compared to 11.5% in Malmo.
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.