Farm operations
340
Avg 224 ac / farm
Agricultural and commodity intelligence for Richland County. Ranked #25 of 46 counties in South Carolina.
USDA NASS · 2022 Census of Agriculture
Richland County received $4.75 in Census government payments per agricultural acre, 0.5× the South Carolina county median of $10.04.
According to the USDA NASS 2022 Census of Agriculture.
Payments per acre use the same NASS county table for receipts and acreage. Census county totals are not a roll-up of the USDA ERS state payment series.
According to the 2022 USDA NASS Census of Agriculture, Richland County, South Carolina is a CROP-LED county with federal farm payments per acre that stamp LIGHT; commodity sales sit near state median and it shows below-typical federal dependence.
Farm operations
340
Avg 224 ac / farm
Commodity sales
$53.9M
0.88× state median -- Near state median
Federal payments
$361K
0.7% of sales -- Below-typical dependence
Net farm income
$19.6M
2022 cash income -- Typical net income
Farm economy grade: C -- Richland County's net farm income sits at the 49th percentile among 3,046 NASS-reporting counties nationally (2022 Census). Percentile-benchmarked, not a same-state comparison like the tier label above.
Richland County, South Carolina reads as a CROP-LED county with LIGHT federal payment intensity. In the NASS Census vocabulary this portal uses, cropland is 50% to 75% of agricultural land, a profile where ARC/PLC eligibility and crop insurance density matter more than pasture-side disaster titles; payments per agricultural acre fall in the second-lowest national quintile, $3.41 to $6.98 an acre, which is light federal support for the land base.
The state comparisons on this page use the 46 of 46 South Carolina counties with published commodity sales, averaging the two central values when the count is even. Payments per acre use the 42 counties that report both receipts and acreage, and net-income peers are the 43 that reported a profit.
Pair the payment peers below before treating any single county as representative of South Carolina.
Nearest NASS federal-payment peers and $/acre poles for Richland (LIGHT · CROP-LED), replacing the old fixed Related and same-state alphabetical strip.
LIGHT CROP-LED
$360K federal receipts is lower by $1K than Richland; land stamp MIXED vs CROP-LED.
$362K federal receipts is higher by $1K than Richland; land stamp MIXED vs CROP-LED.
$360K federal receipts is lower by $1K than Richland; land stamp MIXED vs CROP-LED.
$362K federal receipts is higher by $1K than Richland; land stamp MIXED vs CROP-LED.
Nicholas sits near Richland on payments-per-acre ($4.76) while total receipts differ.
Monroe sits near Richland on payments-per-acre ($4.78) while total receipts differ.
Richland stamps LIGHT · CROP-LED inside South Carolina's NASS county table, open the state ERS payment stack next.
Open the national ranking of U.S. counties by NASS federal farm program payments to see the counties around Richland under the LIGHT intensity band.
What to do with this
From Richland County, South Carolina, these three pages are the natural next reads:
County figures (2022 NASS Census of Agriculture) are a separate population from USDA ERS state and national payment series and must not be summed together.
Source: USDA National Agricultural Statistics Service 2022 Census of Agriculture · 2022
Dollar values reflect calendar year 2022 farm operations data.
PlainFarmData is an independent data portal, not affiliated with USDA, FSA, or any government agency. For official program eligibility or application guidance, contact your local USDA Farm Service Agency office.
Intensity stamp LIGHT · land stamp CROP-LED (NASS payments-per-acre / cropland share bands).
Read our methodology - how this data is sourced, computed, and verified. Verify with USDA NASS Census of Agriculture →
County farm figures on this page are rendered from the USDA NASS 2022 Census of Agriculture, no number is typed in by an editor. Census county totals are not a roll-up of the USDA ERS state payment series. See our editorial standards & corrections policy, the methodology behind these numbers, or report a data error.