Farm operations
330
Avg 239 ac / farm
2022 USDA Census SC · FIPS 45015 330 farms Bottom quartile (#45/46) 14% cropland TRACE PASTURE-LED
Berkeley County, South Carolina - Farm Data
Agricultural and commodity intelligence for Berkeley County. Ranked #45 of 46 counties in South Carolina.
79K acres of agricultural land
- Cropland
- 14.1% 11K acres
- Other land
- 85.9% 68K acres
USDA NASS · 2022 Census of Agriculture
Berkeley County received $2.13 in Census government payments per agricultural acre, 0.2× the South Carolina county median of $10.04.
According to the USDA NASS 2022 Census of Agriculture.
- $2.13
- government payments per agricultural acre
- $10.04
- South Carolina county median per acre
- 0.21×
- South Carolina median per acre
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.
330 farms · $4.0M sales
Berkeley County, South Carolina reports 330 farms and $4.0M in commodity sales in the 2022 USDA NASS Census of Agriculture, ranking #2582 of 2943 U.S. counties by federal farm program payments. According to the Census extract on PlainFarmData, in-state commodity-sales rank is #45 of 46 counties in South Carolina; Census county totals are not a roll-up of USDA ERS state payment series.
- In-state sales rank #45 of 46
- National payments rank #2582 of 2943
- Govt payments / sales ratio 4.2%
Commodity sales
$4.0M
0.066× state median -- Well below state median
Federal payments
$168K
4.2% of sales -- Above-typical dependence
Net farm income
$-4.5M
2022 cash income -- Net loss
F
Farm economy grade: F -- Berkeley County's net farm income sits at the 4th percentile among 3,046 NASS-reporting counties nationally (2022 Census). Percentile-benchmarked, not a same-state comparison like the tier label above.
What the Berkeley County Farm Data Shows
Berkeley County, South Carolina reported 330 farm operations in the 2022 USDA Census of Agriculture, generating $4.0M in total commodity sales and receiving $168K in federal farm program payments. Intensity stamp TRACE ($2.13/acre); land stamp PASTURE-LED. Net cash farm income came in at $-4.5M. In-state sales rank #45 of 46 in South Carolina.
Of 78,741 acres agricultural land, cropland is only 11,077 acres (14.1%) - a PASTURE-LED mix where livestock forage and disaster titles (LFP/ELAP) usually outweigh row-crop commodity programs. Federal intensity is TRACE; pair the ABS payment peers below before treating any single county as representative of South Carolina.
Land Use
$2.13 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.
Total Ag Land
78,741 acres
Cropland
11,077 acres
Avg Farm Size
239 ac
Cropland share of agricultural land 14.1%
11,077 cropland acres · PASTURE-LED stamp.
Land Use Breakdown
| Category | Acres | Share of Ag Land |
|---|---|---|
| Total agricultural land | 78,741 | 100.0% |
| Cropland | 11,077 | 14.1% |
| Pasture, range, woodland, other | 67,664 | 85.9% |
| Average farm size | 239 | acres / farm |
Frequently Asked Questions
How many farms are in Berkeley County, South Carolina?
Berkeley County, South Carolina has 330 farms (2022 USDA Census). Average farm size 239 acres; land stamp PASTURE-LED.
What is the total agricultural production value of Berkeley County?
Berkeley County's total commodity sales are $4.0M (2022 Census of Agriculture), ranking #45 among 46 counties in South Carolina.
How much federal farm assistance does Berkeley County receive?
Berkeley County received $168K in federal government farm program receipts (2022), stamping TRACE on NASS payments-per-acre ($2.13/acre) with a PASTURE-LED land mix.
What is the net farm income in Berkeley County?
Net cash farm income for operations in Berkeley County is $-4.5M (2022 Census of Agriculture).
Read with Berkeley County
Nearest NASS federal-payment peers and $/acre poles for Berkeley (TRACE · PASTURE-LED), replacing the old fixed Related and same-state alphabetical strip.
TRACE PASTURE-LED
Harrison County, MS · HEAVY
$168K federal receipts is higher by - than Berkeley; land stamp MIXED vs PASTURE-LED.
Clarke County, AL · TRACE
$169K federal receipts is higher by $1K than Berkeley; land stamp PASTURE-LED vs PASTURE-LED.
Sullivan County, PA · LIGHT
$167K federal receipts is lower by $1K than Berkeley; land stamp MIXED vs PASTURE-LED.
LA Salle County, TX · TRACE
$169K federal receipts is higher by $1K than Berkeley; land stamp PASTURE-LED vs PASTURE-LED.
Woodford County (TRACE $/acre pole)
Woodford sits near Berkeley on payments-per-acre ($2.11) while total receipts differ.
Sarasota County (TRACE $/acre pole)
Sarasota sits near Berkeley on payments-per-acre ($2.16) while total receipts differ.
South Carolina ERS state roll-up
Berkeley stamps TRACE · PASTURE-LED inside South Carolina's NASS county table, open the state ERS payment stack next.
Census payments leaderboard (#2582)
Berkeley ranks #2582 of 2943 on NASS federal farm program payments under the TRACE intensity band.
Read our methodology - how this data is sourced, computed, and verified.
What to do with this
Berkeley County, South Carolina stamps TRACE · PASTURE-LED in the 2022 NASS Census, ranking #2582 of 2943 U.S. counties by federal farm program payments. Three places to go next:
- See how South Carolina compares nationally on ERS farm payments and income. South Carolina state page
- Browse the full county table to compare payment intensity across the country. All counties
- Understand what actually drives county-level farm payments. Read the guide
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.