Demographics details for Cross plains, TX vs Woodstock, MN
Population Overview
Compare main population characteristics in Cross plains, TX vs Woodstock, MN.
Data | Cross plains | Woodstock |
---|---|---|
Population | 926 | 110 |
Median Age | 28.3 years | 33.6 years |
Median Income | $48,516 | $53,804 |
Married Families | 47.0% | 68.0% |
Poverty Level | 13% | 10% |
Unemployment Rate | 4.2 | 3.1 |
Population Comparison: Cross plains vs Woodstock
- In Cross plains, the population is higher at 926, compared to 110 in Woodstock.
- The median age in Woodstock is higher at 33.6 years, compared to 28.3 years in Cross plains.
- Woodstock has a higher median income of $53,804, compared to $48,516 in Cross plains.
- In Woodstock, the percentage of married families is higher at 68.0%, compared to 47.0% in Cross plains.
- Cross plains has a higher poverty level at 13% compared to 10% in Woodstock.
- The unemployment rate in Cross plains is higher at 4.2%, compared to 3.1% in Woodstock.
Demographics
Demographics Cross plains vs Woodstock provide insight into the diversity of the communities to compare.
Demographic | Cross plains | Woodstock |
---|---|---|
Black | Data is updating | Data is updating |
White | 90 | 95 |
Asian | Data is updating | Data is updating |
Hispanic | 6 | 3 |
Two or More Races | 4 | 2 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Cross plains vs Woodstock
- The percentage of Black residents is the same in both Cross plains and Woodstock at 0%.
- The percentage of White residents is higher in Woodstock at 95% compared to 90% in Cross plains.
- Both Cross plains and Woodstock have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Cross plains at 6% compared to 3% in Woodstock.
- More residents identify as two or more races in Cross plains at 4% compared to 2% in Woodstock.
- The percentage of American Indian residents is the same in both Cross plains and Woodstock at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Cross plains | Woodstock |
---|---|---|
Mental Health Not Good | 18.3% | 14.4% |
Physical Health Not Good | 11.8% | 9.1% |
Depression | 25.7% | 21.7% |
Smoking | 18.1% | 17.8% |
Binge Drinking | 19.6% | 20.9% |
Obesity | 36.1% | 34.6% |
Disability Percentage | 32.0% | 5.0% |
Health Statistics Comparison: Cross plains vs Woodstock
- More residents in Cross plains report poor mental health at 18.3% compared to 14.4% in Woodstock.
- Depression is more prevalent in Cross plains at 25.7% compared to 21.7% in Woodstock.
- Smoking is more prevalent in Cross plains at 18.1% compared to 17.8% in Woodstock.
- More residents engage in binge drinking in Woodstock at 20.9% compared to 19.6% in Cross plains.
- Obesity rates are higher in Cross plains at 36.1% compared to 34.6% in Woodstock.
- Disability percentages are higher in Cross plains at 32.0% compared to 5.0% in Woodstock.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Cross plains | Woodstock |
---|---|---|
No Schooling | 0.1% (1) | 0.9% (1) |
High School Diploma | 19.3% (179) | 20.0% (22) |
Less than High School | 6.0% (56) | 14.5% (16) |
Bachelor's Degree and Higher | 9.2% (85) | 10.9% (12) |
Education Levels Comparison: Cross plains vs Woodstock
- In Woodstock, a larger percentage of residents lack formal schooling at 0.9% compared to 0.1% in Cross plains.
- In Woodstock, the rate of residents with high school diplomas is higher at 20.0% compared to 19.3% in Cross plains.
- The percentage of residents with less than a high school education is higher in Woodstock at 14.5%, compared to 6.0% in Cross plains.
- In Woodstock, a larger share of residents have a bachelor's degree or higher at 10.9% 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.