Demographics details for Higbee, MO vs Pasadena, TX
Population Overview
Compare main population characteristics in Higbee, MO vs Pasadena, TX.
| Data | Higbee | Pasadena |
|---|---|---|
| Population | 447 | 147,662 |
| Median Age | 26.7 years | 32.6 years |
| Median Income | $61,406 | $64,698 |
| Married Families | 39.0% | 37.0% |
| Poverty Level | 8% | 12% |
| Unemployment Rate | 3.2 | 5.9 |
Population Comparison: Higbee vs Pasadena
- The population in Pasadena is higher at 147,662, compared to 447 in Higbee.
- The median age in Pasadena is higher at 32.6 years, compared to 26.7 years in Higbee.
- Pasadena has a higher median income of $64,698, compared to $61,406 in Higbee.
- A higher percentage of married families is found in Higbee at 39.0% compared to 37.0% in Pasadena.
- The poverty level is higher in Pasadena at 12%, compared to 8% in Higbee.
- Pasadena has a higher unemployment rate at 5.9% compared to 3.2% in Higbee.
Demographics
Demographics Higbee vs Pasadena provide insight into the diversity of the communities to compare.
| Demographic | Higbee | Pasadena |
|---|---|---|
| Black | Data is updating | 3 |
| White | 90 | -1 |
| Asian | Data is updating | 2 |
| Hispanic | 4 | 72 |
| Two or More Races | 6 | 23 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Higbee vs Pasadena
- In Pasadena, the percentage of Black residents is higher at 3% compared to 0% in Higbee.
- Higbee has a higher percentage of White residents at 90% compared to -1% in Pasadena.
- In Pasadena, the Asian population stands at 2%, greater than 0% in Higbee.
- Pasadena has a higher percentage of Hispanic residents at 72%, compared to 4% in Higbee.
- The percentage of residents identifying as two or more races is higher in Pasadena at 23%, compared to 6% in Higbee.
- In Pasadena, the percentage of American Indian residents is higher at 1%, compared to 0% in Higbee.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Higbee | Pasadena |
|---|---|---|
| Mental Health Not Good | 19.2% | 17.6% |
| Physical Health Not Good | 13.3% | 13.3% |
| Depression | 27.4% | 21.7% |
| Smoking | 22.7% | 18.0% |
| Binge Drinking | 17.4% | 18.1% |
| Obesity | 40.6% | 37.9% |
| Disability Percentage | 15.0% | 11.0% |
Health Statistics Comparison: Higbee vs Pasadena
- More residents in Higbee report poor mental health at 19.2% compared to 17.6% in Pasadena.
- Depression is more prevalent in Higbee at 27.4% compared to 21.7% in Pasadena.
- Smoking is more prevalent in Higbee at 22.7% compared to 18.0% in Pasadena.
- More residents engage in binge drinking in Pasadena at 18.1% compared to 17.4% in Higbee.
- Obesity rates are higher in Higbee at 40.6% compared to 37.9% in Pasadena.
- Disability percentages are higher in Higbee at 15.0% compared to 11.0% in Pasadena.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Higbee | Pasadena |
|---|---|---|
| No Schooling | 0.7% (3) | 3.0% (4,357) |
| High School Diploma | 28.9% (129) | 16.2% (23,948) |
| Less than High School | 16.1% (72) | 33.1% (48,806) |
| Bachelor's Degree and Higher | 10.3% (46) | 9.9% (14,596) |
Education Levels Comparison: Higbee vs Pasadena
- In Pasadena, a larger percentage of residents lack formal schooling at 3.0% compared to 0.7% in Higbee.
- A higher percentage of residents in Higbee hold a high school diploma at 28.9% compared to 16.2% in Pasadena.
- The percentage of residents with less than a high school education is higher in Pasadena at 33.1%, compared to 16.1% in Higbee.
- A higher percentage of residents in Higbee hold a bachelor's degree or higher at 10.3% compared to 9.9% in Pasadena.
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.