Demographics details for Cross plains, TX vs Mankato, MN
Population Overview
Compare main population characteristics in Cross plains, TX vs Mankato, MN.
Data | Cross plains | Mankato |
---|---|---|
Population | 926 | 45,140 |
Median Age | 28.3 years | 26.5 years |
Median Income | $48,516 | $61,726 |
Married Families | 47.0% | 28.0% |
Poverty Level | 13% | 10% |
Unemployment Rate | 4.2 | 3.4 |
Population Comparison: Cross plains vs Mankato
- The population in Mankato is higher at 45,140, compared to 926 in Cross plains.
- Residents in Cross plains have a higher median age of 28.3 years compared to 26.5 years in Mankato.
- Mankato has a higher median income of $61,726, compared to $48,516 in Cross plains.
- A higher percentage of married families is found in Cross plains at 47.0% compared to 28.0% in Mankato.
- Cross plains has a higher poverty level at 13% compared to 10% in Mankato.
- The unemployment rate in Cross plains is higher at 4.2%, compared to 3.4% in Mankato.
Demographics
Demographics Cross plains vs Mankato provide insight into the diversity of the communities to compare.
Demographic | Cross plains | Mankato |
---|---|---|
Black | Data is updating | 7 |
White | 90 | 81 |
Asian | Data is updating | 4 |
Hispanic | 6 | 5 |
Two or More Races | 4 | 3 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Cross plains vs Mankato
- In Mankato, the percentage of Black residents is higher at 7% compared to 0% in Cross plains.
- Cross plains has a higher percentage of White residents at 90% compared to 81% in Mankato.
- In Mankato, the Asian population stands at 4%, greater than 0% in Cross plains.
- The Hispanic community is larger in Cross plains at 6% compared to 5% in Mankato.
- More residents identify as two or more races in Cross plains at 4% compared to 3% in Mankato.
- The percentage of American Indian residents is the same in both Cross plains and Mankato at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Cross plains | Mankato |
---|---|---|
Mental Health Not Good | 18.3% | 16.0% |
Physical Health Not Good | 11.8% | 10.1% |
Depression | 25.7% | 25.0% |
Smoking | 18.1% | 18.4% |
Binge Drinking | 19.6% | 19.9% |
Obesity | 36.1% | 37.2% |
Disability Percentage | 32.0% | 10.0% |
Health Statistics Comparison: Cross plains vs Mankato
- More residents in Cross plains report poor mental health at 18.3% compared to 16.0% in Mankato.
- Depression is more prevalent in Cross plains at 25.7% compared to 25.0% in Mankato.
- Mankato has a higher smoking rate at 18.4% compared to 18.1% in Cross plains.
- More residents engage in binge drinking in Mankato at 19.9% compared to 19.6% in Cross plains.
- Mankato has higher obesity rates at 37.2% compared to 36.1% in Cross plains.
- Disability percentages are higher in Cross plains at 32.0% compared to 10.0% in Mankato.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Cross plains | Mankato |
---|---|---|
No Schooling | 0.1% (1) | 0.8% (349) |
High School Diploma | 19.3% (179) | 9.3% (4,187) |
Less than High School | 6.0% (56) | 5.7% (2,556) |
Bachelor's Degree and Higher | 9.2% (85) | 19.6% (8,847) |
Education Levels Comparison: Cross plains vs Mankato
- In Mankato, a larger percentage of residents lack formal schooling at 0.8% compared to 0.1% in Cross plains.
- A higher percentage of residents in Cross plains hold a high school diploma at 19.3% compared to 9.3% in Mankato.
- More residents in Cross plains have less than a high school education at 6.0% compared to 5.7% in Mankato.
- In Mankato, a larger share of residents have a bachelor's degree or higher at 19.6% compared to 9.2% in Cross plains.
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.