Farm operations
308
Avg 436 ac / farm
Agricultural and commodity intelligence for Lee County. Ranked #11 of 46 counties in South Carolina.
USDA NASS · 2022 Census of Agriculture
Lee County received $18.00 in Census government payments per agricultural acre, 1.8× 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.
Lee County, South Carolina reports 308 farms and $165.1M in commodity sales in the 2022 USDA NASS Census of Agriculture, ranking #1201 of 2943 U.S. counties by federal farm program payments. According to the Census extract on PlainFarmData, in-state commodity-sales rank is #11 of 46 counties in South Carolina; Census county totals are not a roll-up of USDA ERS state payment series.
Farm operations
308
Avg 436 ac / farm
Commodity sales
$165.1M
2.7× state median -- Above state median
Federal payments
$2.4M
1.5% of sales -- Below-typical dependence
Net farm income
$78.3M
2022 cash income -- Well above-typical net income
Farm economy grade: B -- Lee County's net farm income sits at the 79th percentile among 3,046 NASS-reporting counties nationally (2022 Census). Percentile-benchmarked, not a same-state comparison like the tier label above.
Lee County, South Carolina reported 308 farm operations in the 2022 USDA Census of Agriculture, generating $165.1M in total commodity sales and receiving $2.4M in federal farm program payments. Intensity stamp HEAVY ($18.00/acre); land stamp CROP-LED. Net cash farm income came in at $78.3M. In-state sales rank #11 of 46 in South Carolina.
Of 134,144 acres agricultural land, cropland dominates at 86,304 acres (64.3%) - a CROP-LED profile where ARC/PLC eligibility and crop insurance density matter more than pasture-side disaster titles. Federal intensity is HEAVY; pair the ABS payment peers below before treating any single county as representative of South Carolina.
$18.00 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.
86,304 cropland acres · CROP-LED stamp.
| Category | Acres | Share of Ag Land |
|---|---|---|
| Total agricultural land | 134,144 | 100.0% |
| Cropland | 86,304 | 64.3% |
| Pasture, range, woodland, other | 47,840 | 35.7% |
| Average farm size | 436 | acres / farm |
Nearest NASS federal-payment peers and $/acre poles for Lee (HEAVY · CROP-LED), replacing the old fixed Related and same-state alphabetical strip.
HEAVY CROP-LED
$2.4M federal receipts is lower by $1K than Lee; land stamp CROP-LED vs CROP-LED.
$2.4M federal receipts is lower by $1K than Lee; land stamp MIXED vs CROP-LED.
$2.4M federal receipts is higher by $2K than Lee; land stamp PASTURE-LED vs CROP-LED.
$2.4M federal receipts is higher by $2K than Lee; land stamp CROP-HEAVY vs CROP-LED.
Marin sits near Lee on payments-per-acre ($18.29) while total receipts differ.
Calumet sits near Lee on payments-per-acre ($18.43) while total receipts differ.
Lee stamps HEAVY · CROP-LED inside South Carolina's NASS county table, open the state ERS payment stack next.
Lee ranks #1201 of 2943 on NASS federal farm program payments under the HEAVY intensity band.
Read our methodology - how this data is sourced, computed, and verified.
What to do with this
Lee County, South Carolina stamps HEAVY · CROP-LED in the 2022 NASS Census, ranking #1201 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.