Demographics details for Big springs, NE vs Manteca, CA
Population Overview
Compare main population characteristics in Big springs, NE vs Manteca, CA.
Data | Big springs | Manteca |
---|---|---|
Population | 408 | 86,928 |
Median Age | 53.5 years | 37.0 years |
Median Income | $65,694 | $89,966 |
Married Families | 55.0% | 38.0% |
Poverty Level | 10% | 10% |
Unemployment Rate | 3.5 | 5.7 |
Population Comparison: Big springs vs Manteca
- The population in Manteca is higher at 86,928, compared to 408 in Big springs.
- Residents in Big springs have a higher median age of 53.5 years compared to 37.0 years in Manteca.
- Manteca has a higher median income of $89,966, compared to $65,694 in Big springs.
- A higher percentage of married families is found in Big springs at 55.0% compared to 38.0% in Manteca.
- The poverty level is identical in both Big springs and Manteca at 10%.
- Manteca has a higher unemployment rate at 5.7% compared to 3.5% in Big springs.
Demographics
Demographics Big springs vs Manteca provide insight into the diversity of the communities to compare.
Demographic | Big springs | Manteca |
---|---|---|
Black | Data is updating | 3 |
White | 75 | 26 |
Asian | Data is updating | 14 |
Hispanic | 15 | 39 |
Two or More Races | 7 | 17 |
American Indian | 3 | 1 |
Demographics Comparison: Big springs vs Manteca
- In Manteca, the percentage of Black residents is higher at 3% compared to 0% in Big springs.
- Big springs has a higher percentage of White residents at 75% compared to 26% in Manteca.
- In Manteca, the Asian population stands at 14%, greater than 0% in Big springs.
- Manteca has a higher percentage of Hispanic residents at 39%, compared to 15% in Big springs.
- The percentage of residents identifying as two or more races is higher in Manteca at 17%, compared to 7% in Big springs.
- A greater percentage of American Indian residents live in Big springs at 3% compared to 1% in Manteca.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Big springs | Manteca |
---|---|---|
Mental Health Not Good | 14.4% | 16.6% |
Physical Health Not Good | 9.9% | 11.8% |
Depression | 17.8% | 18.2% |
Smoking | 17.0% | 13.8% |
Binge Drinking | 21.1% | 16.6% |
Obesity | 39.5% | 34.1% |
Disability Percentage | 18.0% | 12.0% |
Health Statistics Comparison: Big springs vs Manteca
- In Manteca, a higher percentage report poor mental health at 16.6% compared to 14.4% in Big springs.
- Higher depression rates are seen in Manteca at 18.2% versus 17.8% in Big springs.
- Smoking is more prevalent in Big springs at 17.0% compared to 13.8% in Manteca.
- Binge drinking is more common in Big springs at 21.1% compared to 16.6% in Manteca.
- Obesity rates are higher in Big springs at 39.5% compared to 34.1% in Manteca.
- Disability percentages are higher in Big springs at 18.0% compared to 12.0% in Manteca.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Big springs | Manteca |
---|---|---|
No Schooling | 0.7% (3) | 1.7% (1,490) |
High School Diploma | 19.4% (79) | 17.0% (14,775) |
Less than High School | 22.1% (90) | 16.5% (14,304) |
Bachelor's Degree and Higher | 16.7% (68) | 12.4% (10,753) |
Education Levels Comparison: Big springs vs Manteca
- In Manteca, a larger percentage of residents lack formal schooling at 1.7% compared to 0.7% in Big springs.
- A higher percentage of residents in Big springs hold a high school diploma at 19.4% compared to 17.0% in Manteca.
- More residents in Big springs have less than a high school education at 22.1% compared to 16.5% in Manteca.
- A higher percentage of residents in Big springs hold a bachelor's degree or higher at 16.7% compared to 12.4% in Manteca.
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.