Demographics details for Columbia, MO vs Albany, GA
Population Overview
Compare main population characteristics in Columbia, MO vs Albany, GA.
| Data | Columbia | Albany |
|---|---|---|
| Population | 128,555 | 67,192 |
| Median Age | 28.8 years | 34.7 years |
| Median Income | $60,455 | $43,724 |
| Married Families | 32.0% | 22.0% |
| Poverty Level | 19% | 23% |
| Unemployment Rate | 3.8 | 5.7 |
Population Comparison: Columbia vs Albany
- In Columbia, the population is higher at 128,555, compared to 67,192 in Albany.
- The median age in Albany is higher at 34.7 years, compared to 28.8 years in Columbia.
- Columbia has a higher median income of $60,455 compared to $43,724 in Albany.
- A higher percentage of married families is found in Columbia at 32.0% compared to 22.0% in Albany.
- The poverty level is higher in Albany at 23%, compared to 19% in Columbia.
- Albany has a higher unemployment rate at 5.7% compared to 3.8% in Columbia.
Demographics
Demographics Columbia vs Albany provide insight into the diversity of the communities to compare.
| Demographic | Columbia | Albany |
|---|---|---|
| Black | 11 | 78 |
| White | 73 | 15 |
| Asian | 6 | 1 |
| Hispanic | 4 | 3 |
| Two or More Races | 6 | 3 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Columbia vs Albany
- In Albany, the percentage of Black residents is higher at 78% compared to 11% in Columbia.
- Columbia has a higher percentage of White residents at 73% compared to 15% in Albany.
- The Asian population is larger in Columbia at 6% compared to 1% in Albany.
- The Hispanic community is larger in Columbia at 4% compared to 3% in Albany.
- More residents identify as two or more races in Columbia at 6% compared to 3% in Albany.
- The percentage of American Indian residents is the same in both Columbia and Albany at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Columbia | Albany |
|---|---|---|
| Mental Health Not Good | 16.7% | 19.4% |
| Physical Health Not Good | 11.4% | 15.2% |
| Depression | 25.3% | 19.9% |
| Smoking | 16.3% | 22.5% |
| Binge Drinking | 17.7% | 13.4% |
| Obesity | 33.5% | 41.9% |
| Disability Percentage | 11.0% | 18.0% |
Health Statistics Comparison: Columbia vs Albany
- In Albany, a higher percentage report poor mental health at 19.4% compared to 16.7% in Columbia.
- Depression is more prevalent in Columbia at 25.3% compared to 19.9% in Albany.
- Albany has a higher smoking rate at 22.5% compared to 16.3% in Columbia.
- Binge drinking is more common in Columbia at 17.7% compared to 13.4% in Albany.
- Albany has higher obesity rates at 41.9% compared to 33.5% in Columbia.
- There is a higher percentage of disabled individuals in Albany at 18.0% compared to 11.0% in Columbia.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Columbia | Albany |
|---|---|---|
| No Schooling | 0.7% (845) | 0.8% (548) |
| High School Diploma | 7.8% (9,965) | 16.1% (10,851) |
| Less than High School | 4.2% (5,383) | 12.9% (8,664) |
| Bachelor's Degree and Higher | 30.5% (39,270) | 14.5% (9,737) |
Education Levels Comparison: Columbia vs Albany
- In Albany, a larger percentage of residents lack formal schooling at 0.8% compared to 0.7% in Columbia.
- In Albany, the rate of residents with high school diplomas is higher at 16.1% compared to 7.8% in Columbia.
- The percentage of residents with less than a high school education is higher in Albany at 12.9%, compared to 4.2% in Columbia.
- A higher percentage of residents in Columbia hold a bachelor's degree or higher at 30.5% compared to 14.5% in Albany.
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.