Demographics details for Clive, IA vs Brownsville, TX
Population Overview
Compare main population characteristics in Clive, IA vs Brownsville, TX.
Data | Clive | Brownsville |
---|---|---|
Population | 18,908 | 189,382 |
Median Age | 37.6 years | 30.7 years |
Median Income | $124,908 | $46,735 |
Married Families | 49.0% | 35.0% |
Poverty Level | 4% | 23% |
Unemployment Rate | 3.2 | 6.4 |
Population Comparison: Clive vs Brownsville
- The population in Brownsville is higher at 189,382, compared to 18,908 in Clive.
- Residents in Clive have a higher median age of 37.6 years compared to 30.7 years in Brownsville.
- Clive has a higher median income of $124,908 compared to $46,735 in Brownsville.
- A higher percentage of married families is found in Clive at 49.0% compared to 35.0% in Brownsville.
- The poverty level is higher in Brownsville at 23%, compared to 4% in Clive.
- Brownsville has a higher unemployment rate at 6.4% compared to 3.2% in Clive.
Demographics
Demographics Clive vs Brownsville provide insight into the diversity of the communities to compare.
Demographic | Clive | Brownsville |
---|---|---|
Black | 5 | Data is updating |
White | 75 | -26 |
Asian | 6 | 1 |
Hispanic | 10 | 93 |
Two or More Races | 4 | 32 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Clive vs Brownsville
- A higher percentage of Black residents are in Clive at 5% compared to 0% in Brownsville.
- Clive has a higher percentage of White residents at 75% compared to -26% in Brownsville.
- The Asian population is larger in Clive at 6% compared to 1% in Brownsville.
- Brownsville has a higher percentage of Hispanic residents at 93%, compared to 10% in Clive.
- The percentage of residents identifying as two or more races is higher in Brownsville at 32%, compared to 4% in Clive.
- The percentage of American Indian residents is the same in both Clive and Brownsville at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Clive | Brownsville |
---|---|---|
Mental Health Not Good | 13.1% | 17.9% |
Physical Health Not Good | 7.4% | 15.8% |
Depression | 18.1% | 19.8% |
Smoking | 11.6% | 16.7% |
Binge Drinking | 22.2% | 15.7% |
Obesity | 33.3% | 45.3% |
Disability Percentage | 7.0% | 10.0% |
Health Statistics Comparison: Clive vs Brownsville
- In Brownsville, a higher percentage report poor mental health at 17.9% compared to 13.1% in Clive.
- Higher depression rates are seen in Brownsville at 19.8% versus 18.1% in Clive.
- Brownsville has a higher smoking rate at 16.7% compared to 11.6% in Clive.
- Binge drinking is more common in Clive at 22.2% compared to 15.7% in Brownsville.
- Brownsville has higher obesity rates at 45.3% compared to 33.3% in Clive.
- There is a higher percentage of disabled individuals in Brownsville at 10.0% compared to 7.0% in Clive.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Clive | Brownsville |
---|---|---|
No Schooling | 0.9% (170) | 2.8% (5,275) |
High School Diploma | 6.6% (1,250) | 11.6% (21,963) |
Less than High School | 3.8% (716) | 35.5% (67,319) |
Bachelor's Degree and Higher | 39.8% (7,519) | 12.0% (22,792) |
Education Levels Comparison: Clive vs Brownsville
- In Brownsville, a larger percentage of residents lack formal schooling at 2.8% compared to 0.9% in Clive.
- In Brownsville, the rate of residents with high school diplomas is higher at 11.6% compared to 6.6% in Clive.
- The percentage of residents with less than a high school education is higher in Brownsville at 35.5%, compared to 3.8% in Clive.
- A higher percentage of residents in Clive hold a bachelor's degree or higher at 39.8% compared to 12.0% in Brownsville.
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.