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.
Richland County, South Carolina reports 340 farms and $53.9M in commodity sales in the 2022 USDA NASS Census of Agriculture, ranking #2315 of 2943 U.S. counties by federal farm program payments. According to the Census extract on PlainFarmData, in-state commodity-sales rank is #25 of 46 counties in South Carolina; Census county totals are not a roll-up of USDA ERS state payment series.
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 reported 340 farm operations in the 2022 USDA Census of Agriculture, generating $53.9M in total commodity sales and receiving $361K in federal farm program payments. Intensity stamp LIGHT ($4.75/acre); land stamp CROP-LED. Net cash farm income came in at $19.6M. In-state sales rank #25 of 46 in South Carolina.
Of 76,011 acres agricultural land, cropland dominates at 40,270 acres (53.0%) - a CROP-LED profile where ARC/PLC eligibility and crop insurance density matter more than pasture-side disaster titles. Federal intensity is LIGHT; pair the ABS payment peers below before treating any single county as representative of South Carolina.
$4.75 per acre of agricultural land · the median South Carolina county receives $10.04. Payments per acre normalise federal support for farm size; both figures come from the same USDA NASS 2022 Census county table.
40,270 cropland acres · CROP-LED stamp.
| Category | Acres | Share of Ag Land |
|---|---|---|
| Total agricultural land | 76,011 | 100.0% |
| Cropland | 40,270 | 53.0% |
| Pasture, range, woodland, other | 35,741 | 47.0% |
| Average farm size | 224 | acres / farm |
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.
Richland ranks #2315 of 2943 on NASS federal farm program payments under the LIGHT intensity band.
Read our methodology - how this data is sourced, computed, and verified.
What to do with this
Richland County, South Carolina stamps LIGHT · CROP-LED in the 2022 NASS Census, ranking #2315 of 2943 U.S. counties by federal farm program payments. Three places to go next:
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.
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.