Demographics details for North charleston, SC vs Converse, IN

Population Overview

Compare main population characteristics in North charleston, SC vs Converse, IN.

Data North charleston Converse
Population 118,608 1,139
Median Age 33.8 years 35.3 years
Median Income $58,534 $54,479
Married Families 29.0% 34.0%
Poverty Level 14% 8%
Unemployment Rate 4.2 3.2

Population Comparison: North charleston vs Converse

  • In North charleston, the population is higher at 118,608, compared to 1,139 in Converse.
  • The median age in Converse is higher at 35.3 years, compared to 33.8 years in North charleston.
  • North charleston has a higher median income of $58,534 compared to $54,479 in Converse.
  • In Converse, the percentage of married families is higher at 34.0%, compared to 29.0% in North charleston.
  • North charleston has a higher poverty level at 14% compared to 8% in Converse.
  • The unemployment rate in North charleston is higher at 4.2%, compared to 3.2% in Converse.

Demographics

Demographics North charleston vs Converse provide insight into the diversity of the communities to compare.

Demographic North charleston Converse
Black 44 2
White 37 88
Asian 3 2
Hispanic 10 4
Two or More Races 6 4
American Indian Data is updating Data is updating

Demographics Comparison: North charleston vs Converse

  • A higher percentage of Black residents are in North charleston at 44% compared to 2% in Converse.
  • The percentage of White residents is higher in Converse at 88% compared to 37% in North charleston.
  • The Asian population is larger in North charleston at 3% compared to 2% in Converse.
  • The Hispanic community is larger in North charleston at 10% compared to 4% in Converse.
  • More residents identify as two or more races in North charleston at 6% compared to 4% in Converse.
  • The percentage of American Indian residents is the same in both North charleston and Converse at 0%.

Health Statistics

The health statistics provide insights into prevalent health conditions in two communities.

Health Metric North charleston Converse
Mental Health Not Good 18.5% 17.2%
Physical Health Not Good 13.3% 11.2%
Depression 19.7% 26.7%
Smoking 20.3% 19.5%
Binge Drinking 19.2% 18.0%
Obesity 39.4% 35.6%
Disability Percentage 10.0% 18.0%

Health Statistics Comparison: North charleston vs Converse

  • More residents in North charleston report poor mental health at 18.5% compared to 17.2% in Converse.
  • Higher depression rates are seen in Converse at 26.7% versus 19.7% in North charleston.
  • Smoking is more prevalent in North charleston at 20.3% compared to 19.5% in Converse.
  • Binge drinking is more common in North charleston at 19.2% compared to 18.0% in Converse.
  • Obesity rates are higher in North charleston at 39.4% compared to 35.6% in Converse.
  • There is a higher percentage of disabled individuals in Converse at 18.0% compared to 10.0% in North charleston.

Education Levels

The educational attainment in the area helps gauge the workforce's skill level and economic potential.

Education Level North charleston Converse
No Schooling 0.8% (988) 0.0% (Data is updating)
High School Diploma 14.6% (17,365) 19.3% (220)
Less than High School 12.2% (14,506) 11.0% (125)
Bachelor's Degree and Higher 17.6% (20,895) 6.4% (73)

Education Levels Comparison: North charleston vs Converse

  • A higher percentage of residents in North charleston have no formal schooling at 0.8% compared to 0.0% in Converse.
  • In Converse, the rate of residents with high school diplomas is higher at 19.3% compared to 14.6% in North charleston.
  • More residents in North charleston have less than a high school education at 12.2% compared to 11.0% in Converse.
  • A higher percentage of residents in North charleston hold a bachelor's degree or higher at 17.6% compared to 6.4% in Converse.

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.