Demographics details for Springfield, MO vs Cameron, TX
Population Overview
Compare main population characteristics in Springfield, MO vs Cameron, TX.
Data | Springfield | Cameron |
---|---|---|
Population | 170,067 | 425,208 |
Median Age | 33.3 years | 32.0 years |
Median Income | $43,450 | $47,435 |
Married Families | 32.0% | 36.0% |
Poverty Level | 17% | 15% |
Unemployment Rate | 4.0 | 6.2 |
Population Comparison: Springfield vs Cameron
- The population in Cameron is higher at 425,208, compared to 170,067 in Springfield.
- Residents in Springfield have a higher median age of 33.3 years compared to 32.0 years in Cameron.
- Cameron has a higher median income of $47,435, compared to $43,450 in Springfield.
- In Cameron, the percentage of married families is higher at 36.0%, compared to 32.0% in Springfield.
- Springfield has a higher poverty level at 17% compared to 15% in Cameron.
- Cameron has a higher unemployment rate at 6.2% compared to 4.0% in Springfield.
Demographics
Demographics Springfield vs Cameron provide insight into the diversity of the communities to compare.
Demographic | Springfield | Cameron |
---|---|---|
Black | 4 | 1 |
White | 83 | 60 |
Asian | 2 | 1 |
Hispanic | 5 | 89 |
Two or More Races | 6 | 29 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Springfield vs Cameron
- A higher percentage of Black residents are in Springfield at 4% compared to 1% in Cameron.
- Springfield has a higher percentage of White residents at 83% compared to 60% in Cameron.
- The Asian population is larger in Springfield at 2% compared to 1% in Cameron.
- Cameron has a higher percentage of Hispanic residents at 89%, compared to 5% in Springfield.
- The percentage of residents identifying as two or more races is higher in Cameron at 29%, compared to 6% in Springfield.
- The percentage of American Indian residents is the same in both Springfield and Cameron at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Springfield | Cameron |
---|---|---|
Mental Health Not Good | 19.8% | 17.0% |
Physical Health Not Good | 14.1% | 14.6% |
Depression | 27.3% | 19.0% |
Smoking | 21.6% | 15.4% |
Binge Drinking | 16.5% | 16.3% |
Obesity | 35.8% | 44.6% |
Disability Percentage | 16.0% | 12.0% |
Health Statistics Comparison: Springfield vs Cameron
- More residents in Springfield report poor mental health at 19.8% compared to 17.0% in Cameron.
- Depression is more prevalent in Springfield at 27.3% compared to 19.0% in Cameron.
- Smoking is more prevalent in Springfield at 21.6% compared to 15.4% in Cameron.
- Binge drinking is more common in Springfield at 16.5% compared to 16.3% in Cameron.
- Cameron has higher obesity rates at 44.6% compared to 35.8% in Springfield.
- Disability percentages are higher in Springfield at 16.0% compared to 12.0% in Cameron.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Springfield | Cameron |
---|---|---|
No Schooling | 0.6% (1,094) | 2.8% (11,750) |
High School Diploma | 14.7% (24,915) | 12.6% (53,487) |
Less than High School | 9.6% (16,273) | 34.2% (145,250) |
Bachelor's Degree and Higher | 18.9% (32,189) | 11.5% (48,712) |
Education Levels Comparison: Springfield vs Cameron
- In Cameron, a larger percentage of residents lack formal schooling at 2.8% compared to 0.6% in Springfield.
- A higher percentage of residents in Springfield hold a high school diploma at 14.7% compared to 12.6% in Cameron.
- The percentage of residents with less than a high school education is higher in Cameron at 34.2%, compared to 9.6% in Springfield.
- A higher percentage of residents in Springfield hold a bachelor's degree or higher at 18.9% compared to 11.5% in Cameron.
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.