Demographics details for Linden, IA vs Columbus, MS
Population Overview
Compare main population characteristics in Linden, IA vs Columbus, MS.
| Data | Linden | Columbus |
|---|---|---|
| Population | 201 | 23,273 |
| Median Age | 32.4 years | 38.5 years |
| Median Income | $76,250 | $38,954 |
| Married Families | 35.0% | 25.0% |
| Poverty Level | Data is updating | 19% |
| Unemployment Rate | 3.1 | 3.8 |
Population Comparison: Linden vs Columbus
- The population in Columbus is higher at 23,273, compared to 201 in Linden.
- The median age in Columbus is higher at 38.5 years, compared to 32.4 years in Linden.
- Linden has a higher median income of $76,250 compared to $38,954 in Columbus.
- A higher percentage of married families is found in Linden at 35.0% compared to 25.0% in Columbus.
- The poverty level is higher in Columbus at 19%, compared to 0% in Linden.
- Columbus has a higher unemployment rate at 3.8% compared to 3.1% in Linden.
Demographics
Demographics Linden vs Columbus provide insight into the diversity of the communities to compare.
| Demographic | Linden | Columbus |
|---|---|---|
| Black | Data is updating | 66 |
| White | 97 | 28 |
| Asian | Data is updating | 2 |
| Hispanic | 1 | 2 |
| Two or More Races | 2 | 2 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Linden vs Columbus
- In Columbus, the percentage of Black residents is higher at 66% compared to 0% in Linden.
- Linden has a higher percentage of White residents at 97% compared to 28% in Columbus.
- In Columbus, the Asian population stands at 2%, greater than 0% in Linden.
- Columbus has a higher percentage of Hispanic residents at 2%, compared to 1% in Linden.
- Both Linden and Columbus have the same percentage of residents identifying as two or more races at 2%.
- The percentage of American Indian residents is the same in both Linden and Columbus at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Linden | Columbus |
|---|---|---|
| Mental Health Not Good | 14.1% | 17.4% |
| Physical Health Not Good | 8.7% | 13.6% |
| Depression | 18.3% | 20.0% |
| Smoking | 14.6% | 21.0% |
| Binge Drinking | 24.4% | 11.8% |
| Obesity | 36.7% | 44.8% |
| Disability Percentage | 11.0% | 12.0% |
Health Statistics Comparison: Linden vs Columbus
- In Columbus, a higher percentage report poor mental health at 17.4% compared to 14.1% in Linden.
- Higher depression rates are seen in Columbus at 20.0% versus 18.3% in Linden.
- Columbus has a higher smoking rate at 21.0% compared to 14.6% in Linden.
- Binge drinking is more common in Linden at 24.4% compared to 11.8% in Columbus.
- Columbus has higher obesity rates at 44.8% compared to 36.7% in Linden.
- There is a higher percentage of disabled individuals in Columbus at 12.0% compared to 11.0% in Linden.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Linden | Columbus |
|---|---|---|
| No Schooling | 0.5% (1) | 1.1% (260) |
| High School Diploma | 12.9% (26) | 18.4% (4,272) |
| Less than High School | 4.0% (8) | 11.0% (2,559) |
| Bachelor's Degree and Higher | 4.0% (8) | 17.1% (3,971) |
Education Levels Comparison: Linden vs Columbus
- In Columbus, a larger percentage of residents lack formal schooling at 1.1% compared to 0.5% in Linden.
- In Columbus, the rate of residents with high school diplomas is higher at 18.4% compared to 12.9% in Linden.
- The percentage of residents with less than a high school education is higher in Columbus at 11.0%, compared to 4.0% in Linden.
- In Columbus, a larger share of residents have a bachelor's degree or higher at 17.1% compared to 4.0% in Linden.
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.