Demographics details for Mckinney, TX vs Jim falls, WI
Population Overview
Compare main population characteristics in Mckinney, TX vs Jim falls, WI.
Data | Mckinney | Jim falls |
---|---|---|
Population | 207,507 | 219 |
Median Age | 36.9 years | 40.6 years |
Median Income | $113,286 | $87,143 |
Married Families | 43.0% | 53.0% |
Poverty Level | 9% | 5% |
Unemployment Rate | 4.4 | 4.2 |
Population Comparison: Mckinney vs Jim falls
- In Mckinney, the population is higher at 207,507, compared to 219 in Jim falls.
- The median age in Jim falls is higher at 40.6 years, compared to 36.9 years in Mckinney.
- Mckinney has a higher median income of $113,286 compared to $87,143 in Jim falls.
- In Jim falls, the percentage of married families is higher at 53.0%, compared to 43.0% in Mckinney.
- Mckinney has a higher poverty level at 9% compared to 5% in Jim falls.
- The unemployment rate in Mckinney is higher at 4.4%, compared to 4.2% in Jim falls.
Demographics
Demographics Mckinney vs Jim falls provide insight into the diversity of the communities to compare.
Demographic | Mckinney | Jim falls |
---|---|---|
Black | 11 | Data is updating |
White | 52 | 100 |
Asian | 11 | Data is updating |
Hispanic | 16 | Data is updating |
Two or More Races | 9 | Data is updating |
American Indian | 1 | Data is updating |
Demographics Comparison: Mckinney vs Jim falls
- A higher percentage of Black residents are in Mckinney at 11% compared to 0% in Jim falls.
- The percentage of White residents is higher in Jim falls at 100% compared to 52% in Mckinney.
- The Asian population is larger in Mckinney at 11% compared to 0% in Jim falls.
- The Hispanic community is larger in Mckinney at 16% compared to 0% in Jim falls.
- More residents identify as two or more races in Mckinney at 9% compared to 0% in Jim falls.
- A greater percentage of American Indian residents live in Mckinney at 1% compared to 0% in Jim falls.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Mckinney | Jim falls |
---|---|---|
Mental Health Not Good | 15.0% | 15.4% |
Physical Health Not Good | 9.7% | 10.2% |
Depression | 22.1% | 24.5% |
Smoking | 12.2% | 17.2% |
Binge Drinking | 18.0% | 25.0% |
Obesity | 29.3% | 34.0% |
Disability Percentage | 6.0% | 15.0% |
Health Statistics Comparison: Mckinney vs Jim falls
- In Jim falls, a higher percentage report poor mental health at 15.4% compared to 15.0% in Mckinney.
- Higher depression rates are seen in Jim falls at 24.5% versus 22.1% in Mckinney.
- Jim falls has a higher smoking rate at 17.2% compared to 12.2% in Mckinney.
- More residents engage in binge drinking in Jim falls at 25.0% compared to 18.0% in Mckinney.
- Jim falls has higher obesity rates at 34.0% compared to 29.3% in Mckinney.
- There is a higher percentage of disabled individuals in Jim falls at 15.0% compared to 6.0% in Mckinney.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Mckinney | Jim falls |
---|---|---|
No Schooling | 0.4% (916) | 0.0% (Data is updating) |
High School Diploma | 8.2% (16,929) | 14.2% (31) |
Less than High School | 5.5% (11,513) | 13.7% (30) |
Bachelor's Degree and Higher | 31.6% (65,610) | 21.5% (47) |
Education Levels Comparison: Mckinney vs Jim falls
- A higher percentage of residents in Mckinney have no formal schooling at 0.4% compared to 0.0% in Jim falls.
- In Jim falls, the rate of residents with high school diplomas is higher at 14.2% compared to 8.2% in Mckinney.
- The percentage of residents with less than a high school education is higher in Jim falls at 13.7%, compared to 5.5% in Mckinney.
- A higher percentage of residents in Mckinney hold a bachelor's degree or higher at 31.6% compared to 21.5% in Jim falls.
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.