Demographics details for Columbus, OH vs Hanford, CA
Population Overview
Compare main population characteristics in Columbus, OH vs Hanford, CA.
Data | Columbus | Hanford |
---|---|---|
Population | 907,971 | 58,470 |
Median Age | 32.7 years | 32.7 years |
Median Income | $62,994 | $73,819 |
Married Families | 29.0% | 36.0% |
Poverty Level | 14% | 13% |
Unemployment Rate | 5.0 | 7.0 |
Population Comparison: Columbus vs Hanford
- In Columbus, the population is higher at 907,971, compared to 58,470 in Hanford.
- The median age is the same in both Columbus and Hanford at 32.7 years.
- Hanford has a higher median income of $73,819, compared to $62,994 in Columbus.
- In Hanford, the percentage of married families is higher at 36.0%, compared to 29.0% in Columbus.
- Columbus has a higher poverty level at 14% compared to 13% in Hanford.
- Hanford has a higher unemployment rate at 7.0% compared to 5.0% in Columbus.
Demographics
Demographics Columbus vs Hanford provide insight into the diversity of the communities to compare.
Demographic | Columbus | Hanford |
---|---|---|
Black | 29 | 7 |
White | 51 | 23 |
Asian | 6 | 4 |
Hispanic | 7 | 50 |
Two or More Races | 7 | 15 |
American Indian | Data is updating | 1 |
Demographics Comparison: Columbus vs Hanford
- A higher percentage of Black residents are in Columbus at 29% compared to 7% in Hanford.
- Columbus has a higher percentage of White residents at 51% compared to 23% in Hanford.
- The Asian population is larger in Columbus at 6% compared to 4% in Hanford.
- Hanford has a higher percentage of Hispanic residents at 50%, compared to 7% in Columbus.
- The percentage of residents identifying as two or more races is higher in Hanford at 15%, compared to 7% in Columbus.
- In Hanford, the percentage of American Indian residents is higher at 1%, compared to 0% in Columbus.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Columbus | Hanford |
---|---|---|
Mental Health Not Good | 18.4% | 17.0% |
Physical Health Not Good | 12.2% | 12.6% |
Depression | 23.9% | 19.4% |
Smoking | 19.6% | 14.0% |
Binge Drinking | 17.7% | 16.4% |
Obesity | 38.0% | 33.3% |
Disability Percentage | 11.0% | 12.0% |
Health Statistics Comparison: Columbus vs Hanford
- More residents in Columbus report poor mental health at 18.4% compared to 17.0% in Hanford.
- Depression is more prevalent in Columbus at 23.9% compared to 19.4% in Hanford.
- Smoking is more prevalent in Columbus at 19.6% compared to 14.0% in Hanford.
- Binge drinking is more common in Columbus at 17.7% compared to 16.4% in Hanford.
- Obesity rates are higher in Columbus at 38.0% compared to 33.3% in Hanford.
- There is a higher percentage of disabled individuals in Hanford at 12.0% compared to 11.0% in Columbus.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Columbus | Hanford |
---|---|---|
No Schooling | 1.4% (12,592) | 1.7% (991) |
High School Diploma | 14.4% (130,716) | 14.0% (8,215) |
Less than High School | 9.7% (87,770) | 21.2% (12,424) |
Bachelor's Degree and Higher | 25.2% (229,071) | 11.6% (6,806) |
Education Levels Comparison: Columbus vs Hanford
- In Hanford, a larger percentage of residents lack formal schooling at 1.7% compared to 1.4% in Columbus.
- A higher percentage of residents in Columbus hold a high school diploma at 14.4% compared to 14.0% in Hanford.
- The percentage of residents with less than a high school education is higher in Hanford at 21.2%, compared to 9.7% in Columbus.
- A higher percentage of residents in Columbus hold a bachelor's degree or higher at 25.2% compared to 11.6% in Hanford.
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.