Demographics details for Conrad, MT vs Charlotte, NC
Population Overview
Compare main population characteristics in Conrad, MT vs Charlotte, NC.
| Data | Conrad | Charlotte |
|---|---|---|
| Population | 2,387 | 897,720 |
| Median Age | 39.9 years | 34.5 years |
| Median Income | $49,135 | $74,070 |
| Married Families | 42.0% | 33.0% |
| Poverty Level | 12% | 12% |
| Unemployment Rate | 4.0 | 4.0 |
Population Comparison: Conrad vs Charlotte
- The population in Charlotte is higher at 897,720, compared to 2,387 in Conrad.
- Residents in Conrad have a higher median age of 39.9 years compared to 34.5 years in Charlotte.
- Charlotte has a higher median income of $74,070, compared to $49,135 in Conrad.
- A higher percentage of married families is found in Conrad at 42.0% compared to 33.0% in Charlotte.
- The poverty level is identical in both Conrad and Charlotte at 12%.
- The unemployment rate is the same in both Conrad and Charlotte at 4.0%.
Demographics
Demographics Conrad vs Charlotte provide insight into the diversity of the communities to compare.
| Demographic | Conrad | Charlotte |
|---|---|---|
| Black | Data is updating | 34 |
| White | 86 | 38 |
| Asian | Data is updating | 6 |
| Hispanic | 4 | 15 |
| Two or More Races | 5 | 7 |
| American Indian | 5 | Data is updating |
Demographics Comparison: Conrad vs Charlotte
- In Charlotte, the percentage of Black residents is higher at 34% compared to 0% in Conrad.
- Conrad has a higher percentage of White residents at 86% compared to 38% in Charlotte.
- In Charlotte, the Asian population stands at 6%, greater than 0% in Conrad.
- Charlotte has a higher percentage of Hispanic residents at 15%, compared to 4% in Conrad.
- The percentage of residents identifying as two or more races is higher in Charlotte at 7%, compared to 5% in Conrad.
- A greater percentage of American Indian residents live in Conrad at 5% compared to 0% in Charlotte.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Conrad | Charlotte |
|---|---|---|
| Mental Health Not Good | 16.2% | 14.7% |
| Physical Health Not Good | 10.6% | 10.1% |
| Depression | 23.4% | 20.1% |
| Smoking | 16.3% | 13.9% |
| Binge Drinking | 23.1% | 17.5% |
| Obesity | 35.7% | 34.7% |
| Disability Percentage | 22.0% | 8.0% |
Health Statistics Comparison: Conrad vs Charlotte
- More residents in Conrad report poor mental health at 16.2% compared to 14.7% in Charlotte.
- Depression is more prevalent in Conrad at 23.4% compared to 20.1% in Charlotte.
- Smoking is more prevalent in Conrad at 16.3% compared to 13.9% in Charlotte.
- Binge drinking is more common in Conrad at 23.1% compared to 17.5% in Charlotte.
- Obesity rates are higher in Conrad at 35.7% compared to 34.7% in Charlotte.
- Disability percentages are higher in Conrad at 22.0% compared to 8.0% in Charlotte.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Conrad | Charlotte |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 1.2% (10,429) |
| High School Diploma | 22.9% (546) | 9.4% (84,002) |
| Less than High School | 13.7% (326) | 10.7% (95,990) |
| Bachelor's Degree and Higher | 15.6% (372) | 30.6% (274,311) |
Education Levels Comparison: Conrad vs Charlotte
- In Charlotte, a larger percentage of residents lack formal schooling at 1.2% compared to 0.0% in Conrad.
- A higher percentage of residents in Conrad hold a high school diploma at 22.9% compared to 9.4% in Charlotte.
- More residents in Conrad have less than a high school education at 13.7% compared to 10.7% in Charlotte.
- In Charlotte, a larger share of residents have a bachelor's degree or higher at 30.6% compared to 15.6% in Conrad.
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.