Richland (Northeast and North Central) & Kershaw Counties PUMA, SC

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US Senator

Lindsey Graham

Republican Party

US Senator

Tim Scott

Republican Party

About

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7.73% of the households in N/A reported speaking a non-English language at home as their primary shared language. This does not consider the potential multi-lingual nature of households, but only the primary self-reported language spoken by all members of the household.

N/A borders Chester, Fairfield & Lancaster Counties PUMA, SC, Richland County (Northwest and North Central)--Irmo (East) and Blythewood Cities PUMA, SC, Richland County (South & Central)--Forest Acres & Dentsville Cities PUMA, SC, Chesterfield, Darlington & Marlboro Counties PUMA, SC, and Lee & Sumter Counties PUMA, SC.

United States South Carolina

Population & Diversity

In N/A, there were N/A times more N/A residents (N/A people) in N/A than any other race or ethnicity. There were N/A N/A and N/A N/A residents, the second and third most common ethnic groups.

The most common non-English languages spoken as the primary language in households in N/A are Spanish (6,591 households), Korean (551 households), and German (492 households).

Diversity

Non-English Households

Most Common Non-English Languages

Spanish
6,591 households (5.15%)
Korean
551 households (0.43%)
German
492 households (0.384%)

7.73% of the households in N/A reported speaking a non-English language at home as their primary shared language, which is lower than the national average of 22%. This does not consider the potential multi-lingual nature of households, but only the primary self-reported language spoken by all members of the household.

In 2023, the most common non-English language spoken in households in N/A was Spanish. 5.15% of the households in N/A reported speaking Spanish at home as the primary shared language between all members living in the household.

Economy

Employment

Occupations

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The most common job groups, by number of people living in N/A, are N/A. This chart illustrates the share breakdown of the primary jobs held by residents of N/A.

Unemployment Insurance Claims

The most recent data point uses Advance State Claims data, which can be revised in subsequent weeks.

Industries

Employment by Industries

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The most common employment sectors for those who live in N/A, are N/A. This chart shows the share breakdown of the primary industries for residents of N/A, though some of these residents may live in N/A and work somewhere else. Census data is tagged to a residential address, not a work address.

Employment by Industry Sector

Data is only available at the state level. Showing data for South Carolina.

Y-Axis

2.54%

Year-over-year growth

Employment change between February 2022 and February 2023

As of February 2023, there are 2.26M people employed in South Carolina. This represents a 2.54% increase in employment when compared to February 2022.

Right after the beginning of the COVID-19 pandemic, during April 2020, a general dip can be seen across industry sectors, resulting in an overall decline in employment by 13.4%.

The following chart shows monthly employment numbers for each industry sector in South Carolina.

Education

Working Population

Educational Pyramid

Measure

This visualization shows the gender distribution of the population according to the academic level reached.

Educational Attainment

Race

This visualization illustrates the percentage distribution of the population according to the highest educational level reached. You can filter the data by race by using the selector above.

Housing & Living

Equity

Household Income

Please note that the buckets used in this visualization were not evenly distributed by ACS when publishing the data.

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Median Household Income

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Number of Households

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Transportation

Commuter Transportation

In N/A, N/A% of workers in N/A N/A, followed by those who N/A (N/A%) and those who N/A (N/A%).

The following chart shows the number of households using each mode of transportation over time, using a logarithmic scale on the y-axis to help better show variations in the smaller means of commuting.

Commute Time

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Average Travel Time

The chart below shows how the median household income in Richland (Northeast and North Central) & Kershaw Counties PUMA, SC compares to that of it's neighboring and parent geographies.

Car Ownership

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Average Number

Poverty

Poverty & Diversity

The most common racial or ethnic group living below the poverty line in N/A is Black, followed by White and Hispanic.

The Census Bureau uses a set of money income thresholds that vary by family size and composition to determine who classifies as impoverished. If a family's total income is less than the family's threshold than that family and every individual in it is considered to be living in poverty.

The following chart shows the number of people with health coverage by gender.

Uninsured People

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Uninsured

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Employer Coverage

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Medicaid

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Medicare

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Non-Group

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Military or VA

The following chart shows how the percent of uninsured individuals in N/A changed over time compared with the percent of individuals enrolled in various types of health insurance.