Demographics details for Long beach, CA vs Midland, TX
Population Overview
Compare main population characteristics in Long beach, CA vs Midland, TX.
| Data | Long beach | Midland |
|---|---|---|
| Population | 451,307 | 134,444 |
| Median Age | 36.1 years | 31.4 years |
| Median Income | $78,995 | $90,448 |
| Married Families | 32.0% | 40.0% |
| Poverty Level | 18% | 12% |
| Unemployment Rate | 6.0 | 2.9 |
Population Comparison: Long beach vs Midland
- In Long beach, the population is higher at 451,307, compared to 134,444 in Midland.
- Residents in Long beach have a higher median age of 36.1 years compared to 31.4 years in Midland.
- Midland has a higher median income of $90,448, compared to $78,995 in Long beach.
- In Midland, the percentage of married families is higher at 40.0%, compared to 32.0% in Long beach.
- Long beach has a higher poverty level at 18% compared to 12% in Midland.
- The unemployment rate in Long beach is higher at 6.0%, compared to 2.9% in Midland.
Demographics
Demographics Long beach vs Midland provide insight into the diversity of the communities to compare.
| Demographic | Long beach | Midland |
|---|---|---|
| Black | 12 | 8 |
| White | 17 | 29 |
| Asian | 13 | 2 |
| Hispanic | 45 | 45 |
| Two or More Races | 12 | 15 |
| American Indian | 1 | 1 |
Demographics Comparison: Long beach vs Midland
- A higher percentage of Black residents are in Long beach at 12% compared to 8% in Midland.
- The percentage of White residents is higher in Midland at 29% compared to 17% in Long beach.
- The Asian population is larger in Long beach at 13% compared to 2% in Midland.
- The percentage of Hispanic residents is the same in both Long beach and Midland at 45%.
- The percentage of residents identifying as two or more races is higher in Midland at 15%, compared to 12% in Long beach.
- The percentage of American Indian residents is the same in both Long beach and Midland at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Long beach | Midland |
|---|---|---|
| Mental Health Not Good | 16.0% | 16.1% |
| Physical Health Not Good | 11.6% | 11.1% |
| Depression | 16.2% | 21.4% |
| Smoking | 12.0% | 15.0% |
| Binge Drinking | 14.9% | 18.6% |
| Obesity | 29.3% | 35.3% |
| Disability Percentage | 11.0% | 9.0% |
Health Statistics Comparison: Long beach vs Midland
- In Midland, a higher percentage report poor mental health at 16.1% compared to 16.0% in Long beach.
- Higher depression rates are seen in Midland at 21.4% versus 16.2% in Long beach.
- Midland has a higher smoking rate at 15.0% compared to 12.0% in Long beach.
- More residents engage in binge drinking in Midland at 18.6% compared to 14.9% in Long beach.
- Midland has higher obesity rates at 35.3% compared to 29.3% in Long beach.
- Disability percentages are higher in Long beach at 11.0% compared to 9.0% in Midland.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Long beach | Midland |
|---|---|---|
| No Schooling | 4.6% (20,870) | 2.8% (3,705) |
| High School Diploma | 11.0% (49,640) | 10.2% (13,724) |
| Less than High School | 23.7% (106,838) | 17.6% (23,705) |
| Bachelor's Degree and Higher | 23.8% (107,451) | 19.5% (26,213) |
Education Levels Comparison: Long beach vs Midland
- A higher percentage of residents in Long beach have no formal schooling at 4.6% compared to 2.8% in Midland.
- A higher percentage of residents in Long beach hold a high school diploma at 11.0% compared to 10.2% in Midland.
- More residents in Long beach have less than a high school education at 23.7% compared to 17.6% in Midland.
- A higher percentage of residents in Long beach hold a bachelor's degree or higher at 23.8% compared to 19.5% in Midland.
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.