# 2007 CENSUS OF AGRICULTURE - COUNTY DATA CALIFORNIA 541

USDA, National Agricultural Statistics Service 

# Table 46. 

# Selected Operation and Operator Characteristics: 2007 and 2002

[For meaning of abbreviations and symbols, see introductory text]

Item California Alameda Alpine Amador Butte Calaveras Colusa

FARMS

Land in farms .................................................................. farms, 2007 2002 acres, 2007 2002 Harvested cropland ..................................................... farms, 2007 2002 acres, 2007 2002

TENURE

Full owners ...................................................................... farms, 2007 2002 acres, 2007 2002 Harvested cropland ..................................................... farms, 2007 2002 acres, 2007 2002

Part owners ..................................................................... farms, 2007 2002 acres, 2007 2002 Owned land in farms ................................................... acres, 2007 2002 Rented land in farms ................................................... acres, 2007 2002 Harvested cropland ..................................................... farms, 2007 2002 acres, 2007 2002

Tenants ........................................................................... farms, 2007 2002 acres, 2007 2002 Harvested cropland ..................................................... farms, 2007 2002 acres, 2007 2002

2007 NUMBER OF ALL OPERATORS

Total operators .......................................................................number

Farms by number of operators: 1 operator ................................................................................... 2 operators ................................................................................. 3 operators ................................................................................. 4 operators ................................................................................. 5 or more operators ....................................................................

Total women operators .......................................................number

Farms by number of women operators: 1 operator ............................................................................... 2 operators ............................................................................. 3 operators ............................................................................. 4 operators ............................................................................. 5 or more operators ................................................................

2002 NUMBER OF ALL OPERATORS

Total operators .......................................................................number

Farms by number of operators: 1 operator ................................................................................... 2 operators ................................................................................. 3 operators ................................................................................. 4 operators ................................................................................. 5 or more operators ....................................................................

Total women operators .......................................................number

Farms by number of women operators: 1 operator ............................................................................... 2 operators ............................................................................. 3 operators ............................................................................. 4 operators ............................................................................. 5 or more operators ................................................................

PRINCIPAL OPERATOR CHARACTERISTICS

Sex of operator: Male ............................................................................ farms, 2007 2002 acres, 2007 2002

Female ........................................................................ farms, 2007 2002 acres, 2007 2002

Primary occupation: Far ming .................................................................................. 2007 2002 Other ...................................................................................... 2007 2002 81,033 79,631 25,364,695 27,589,027 53,000 54,115 7,633,173 8,466,321

63,777 60,894 10,082,984 10,899,151 41,451 41,163 3,032,616 3,522,071

9,843 10,636 11,480,879 12,244,863 4,312,543 4,644,212 7,168,336 7,600,651 6,676 7,441 3,216,666 3,422,788

7,413 8,101 3,800,832 4,445,013 4,873 5,511 1,383,891 1,521,462

130,756

41,998 31,976 5,248 1,137

674

43,239

37,150 2,357

324 36 45

125,095

44,967 28,058 4,385 1,335

886

36,991

31,404 2,197

289 46 26

66,068 67,016 23,305,862 25,555,557

14,965 12,615 2,058,833 2,033,470

40,9 10 49,132 40,123 30,499 525 424 204,633 218,094 237 153 10,759 7,926

370 278 38,259 90,819

189 106 4,308 1,992

73 74 127,192 78,700 50,635 19,065 76,557 59,635 20 24 4,907 3,150

82 72 39,182 48,575 28 23 1,544 2,784

875

260 212 46 2 5

317

249 31 2

-

-

686

220 162 28 12 2

215

189 13

-

-

-

406 356 193,883 211,307

119 68 10,750 6,787

197 205 328 219 7 14 1,81 0

(D)

4 4 490 (D)

6 7 (D) (D)

3 2 (D) (D)

1 4 (D) 4,272

(D) (D) (D) (D)

1 1 (D) (D)

- 3

- (D)

- 1

- (D)

10

4 3

-

-

-

3

3

-

-

-

-

24

4 10

-

-

-

12

12

-

-

-

-

7 11 1,810

(D)

- 3

- (D)

2 10 5 4 479 451 163, 482 194,144 189 180 7,457 6,401

366 338 50,946 44,064

171 151 5,201 3,987

84 91 102,587 143,494 36,009 49,770 66,578 93,724 9 21 (D) 2,321

29 22 9,949 6,586 9 8 (D) 93

782

222 225 24 5 3

315

267 21 2

-

-

734

234 175 28 9 5

265

228 13 1 2

-

369 339 155,627 177,327

110 112 7,855 16,817

236 270 243 181 2,04 8 2,128 373,786 381,532

1,460 1,579 200,943 217,912

1,582 1,551 161,974 170,901

1,088 1,128 85,186 103,541

275 308 161,046 131,537 66,368 57,251 94,678 74,286

224 232 71,821 61,400

191 269 50,766 79,094

148 219 43,936 52,971

3,281

1,056

827 126 19 20

1,112

969 56 7

- 2

3,338

1,232

719 109 46 22

945

798 61 7 1

-

1,670 1,830 348,012 365,883

378 298 25,774 15,649

1,05 7 1,337

991 791 631 576 201,026 260,865 193 147 2,872 3,205

495 436 81,747 120,217 166 127 2,137 2,700

109 91 105,748 126,406 15,980 24,891 89,768 101,515 12 5 358 67

27 49 13,531 14,242 15 15 377 438

1,036

292 299 29 4 7

412

356 25 2

-

-

943

249 295 24 8

-

368

320 21 2

-

-

498 441 174,971 204,140

133 135 26,055 56,725

288 313 343 263 814 821 474, 092 485,392 661 709 276,588 296,550

429 427 126,915 151,907 305 343 59,950 85,110

175 179 212,723 215,338 73,694 72,136 139,029 143,202 163 167 125,599 122,493

210 215 134,454 118,147 193 199 91,039 88,947

1,403

368 364 53 14 15

401

336 15 9 2

-

1,325

449 295 46 17 14

343

280 21 7

-

-

730 717 448,461 446,262

84 104 25,631 39,130

464 589 350 232

--continued

# 542 CALIFORNIA 2007 CENSUS OF AGRICULTURE - COUNTY DATA

USDA, National Agricultural Statistics Service 

# Table 46. 

# Selected Operation and Operator Characteristics: 2007 and 2002 - Con.

[For meaning of abbreviations and symbols, see introductory text]

Item Contra Costa Del Norte El Dorado Fresno Glenn Humboldt Imperial

FARMS

Land in farms ...................................................................farms, 2007 2002 acres, 2007 2002 Harvested cropland ......................................................farms, 2007 2002 acres, 2007 2002

TENURE

Full owners ......................................................................farms, 2007 2002 acres, 2007 2002 Harvested cropland ......................................................farms, 2007 2002 acres, 2007 2002

Part owners .....................................................................farms, 2007 2002 acres, 2007 2002 Owned land in farms ....................................................acres, 2007 2002 Rented land in farms ....................................................acres, 2007 2002 Harvested cropland ......................................................farms, 2007 2002 acres, 2007 2002

Tenants ............................................................................farms, 2007 2002 acres, 2007 2002 Harvested cropland ......................................................farms, 2007 2002 acres, 2007 2002

2007 NUMBER OF ALL OPERATORS

Total operators ...................................................................... number

Farms by number of operators: 1 operator ................................................................................... 2 operators ................................................................................. 3 operators ................................................................................. 4 operators ................................................................................. 5 or more operators ....................................................................

Total women operators ...................................................... number

Farms by number of women operators: 1 operator ............................................................................... 2 operators ............................................................................. 3 operators ............................................................................. 4 operators ............................................................................. 5 or more operators ................................................................

2002 NUMBER OF ALL OPERATORS

Total operators ...................................................................... number

Farms by number of operators: 1 operator ................................................................................... 2 operators ................................................................................. 3 operators ................................................................................. 4 operators ................................................................................. 5 or more operators ....................................................................

Total women operators ...................................................... number

Farms by number of women operators: 1 operator ............................................................................... 2 operators ............................................................................. 3 operators ............................................................................. 4 operators ............................................................................. 5 or more operators ................................................................

PRINCIPAL OPERATOR CHARACTERISTICS

Sex of operator: Male .............................................................................farms, 2007 2002 acres, 2007 2002

Female .........................................................................farms, 2007 2002 acres, 2007 2002

Primary occupation: Far ming ..................................................................................2007 2002 Other .......................................................................................2007 2002 634 592 146,993 126,338 289 280 23,876 26,018

454 433 58,562 28,114

213 195 5,252 4,896

92 92 59,474 66,067 13,544 12,559 45,930 53,508 42 45 15,098 11,212

88 67 28,957 32,157 34 40 3,526 9,910

1,005

331 252 42 6 3

400

311 34 1 1 2

920

331 219 28 9 5

333

277 16 3

- 3

431 431 130,602 118,123

203 161 16,391 8,215

265 338 369 254 85 89 18,1 68 13,356 29 31 3,244 3,158

68 74 (D) 5,535

20 21 (D) 1,003

15 12 10,577 7,798 6,912 4,424 3,665 3,374 8 10 2,222 2,155

2 3 (D) 23 1

- (D)

-

174

20 48 11 5 1

68

62 3

-

-

-

162

35 42 6 5 1

67

57 5

-

-

-

65 67 (D) 13,176

20 22 (D) 180

37 54 48 35 1,26 8 1,116 107,080 117,064 645 600 5,930 6,258

1,167

985 49,005 65,118

605 556 4,619 5,204

66 90 54,166 39,075 18,832 12,730 35,334 26,345 24 28 1,110

907

35 41 3,909 12,871 16 16 201 147

2,077

550 637 73 6 2

903

817 40 2

-

-

1,796

534 508 57 14 3

717

613 46 4

-

-

903 833 93,976 108,409

365 283 13,104 8,655

543 638 725 478 6,08 1 6,281 1,636,224 1,928,865 4,736 5,192 978,948 1,078,900

4,643 4,802 615,320 898,259

3,525 3,979 395,665 512,871

907 907 794,439 767,032 375,092 372,638 419,347 394,394 754 757 440,868 427,432

531 572 226,465 263,574 457 456 142,415 138,597

9,535

3,440 2,081

410 101 49

2,598

2,275

120 19 4 2

9,606

3,847 1,938

337 81 78

2,284

1,966

104 24 7 2

5,359 5,686 1,500,766 1,821,435

722 595 135,458 107,430

3,47 1 4,363 2,610 1,918 1,242 1,283 489,186 506,272 924 990 228,533 227,372

810 838 183,293 162,886 566 616 80,211 86,479

271 256 202,873 243,843 89,417 97,963 113,456 145,880 225 209 91,016 77,191

161 189 103,020 99,543

133 165 57,306 63,702

2,024

614 506 96 21 5

604

536 28 4

-

-

2,048

717 444 80 24 18

562

495 26 5

-

-

1,085 1,137 458,852 472,710

157 146 30,334 33,562

730 899 512 384 852 993 597, 477 633,931 389 446 13,358 15,281

579 689 230,393 323,010 251 285 2,987 5,531

162 176 215,990 185,499 95,242 38,475 120,748 147,024 83 90 8,361 7,836

111 128 151,094 125,422 55 71 2,010 1,914

1,347

441 351 41 15 4

491

432 25 3

-

-

1,557

541 383 42 17 10

555

469 35 4 1

-

675 778 536,725 572,511

177 215 60,752 61,420

466 591 386 402 452 537 427, 349 514,101 365 442 375,904 475,294

188 233 48,135 110,987 125 156 36,092 94,076

145 179 279,608 293,552 81,690 89,809 197,918 203,743 133 168 252,356 276,863

119 125 99,606 109,562 107 118 87,456 104,355

734

253 134 53 6 6

121

109

6

-

-

-

811

349 129 40 14 5

121

111

5

-

-

-

424 512 424,100 512,066

28 25 3,249 2,035

321 436 131 101

--continued

# 2007 CENSUS OF AGRICULTURE - COUNTY DATA CALIFORNIA 543

USDA, National Agricultural Statistics Service 

# Table 46. 

# Selected Operation and Operator Characteristics: 2007 and 2002 - Con.

[For meaning of abbreviations and symbols, see introductory text]

Item Inyo Kern Kings Lake Lassen Los Angeles Madera

FARMS

Land in farms .................................................................. farms, 2007 2002 acres, 2007 2002 Harvested cropland ..................................................... farms, 2007 2002 acres, 2007 2002

TENURE

Full owners ...................................................................... farms, 2007 2002 acres, 2007 2002 Harvested cropland ..................................................... farms, 2007 2002 acres, 2007 2002

Part owners ..................................................................... farms, 2007 2002 acres, 2007 2002 Owned land in farms ................................................... acres, 2007 2002 Rented land in farms ................................................... acres, 2007 2002 Harvested cropland ..................................................... farms, 2007 2002 acres, 2007 2002

Tenants ........................................................................... farms, 2007 2002 acres, 2007 2002 Harvested cropland ..................................................... farms, 2007 2002 acres, 2007 2002

2007 NUMBER OF ALL OPERATORS

Total operators .......................................................................number

Farms by number of operators: 1 operator ................................................................................... 2 operators ................................................................................. 3 operators ................................................................................. 4 operators ................................................................................. 5 or more operators ....................................................................

Total women operators .......................................................number

Farms by number of women operators: 1 operator ............................................................................... 2 operators ............................................................................. 3 operators ............................................................................. 4 operators ............................................................................. 5 or more operators ................................................................

2002 NUMBER OF ALL OPERATORS

Total operators .......................................................................number

Farms by number of operators: 1 operator ................................................................................... 2 operators ................................................................................. 3 operators ................................................................................. 4 operators ................................................................................. 5 or more operators ....................................................................

Total women operators .......................................................number

Farms by number of women operators: 1 operator ............................................................................... 2 operators ............................................................................. 3 operators ............................................................................. 4 operators ............................................................................. 5 or more operators ................................................................

PRINCIPAL OPERATOR CHARACTERISTICS

Sex of operator: Male ............................................................................ farms, 2007 2002 acres, 2007 2002

Female ........................................................................ farms, 2007 2002 acres, 2007 2002

Primary occupation: Far ming .................................................................................. 2007 2002 Other ...................................................................................... 2007 2002 94 85 292,552 226,788 25 20 (D) 3,835

35 35 119,533 15,414 13 8 1,705

176

20 18 88,683 140,622

2,948 7,740 85,735 132,882 4 7 (D) 869

39 32 84,336 70,752 8 5 1,860 2,790

166

49 28 12

- 5

52

48 2

-

-

-

141

41 35 7 1 1

47

43 2

-

-

-

73 61 291,281 226,588

21 24 1,271

200

47 52 47 33 2,11 7 2,147 2,361,765 2,731,341 1,169 1,304 764,929 798,722

1,574 1,484 966,629 777,362 854 885 403,763 377,308

310 383 1,041,839 1,286,618

389,485 506,924 652,354 779,694 188 241 262,802 304,507

233 280 353,297 667,361 127 178 98,364 116,907

3,643

1,003

837 192 57 28

1,052

876 62 12 4

-

3,648

1,071

813 165 66 32

986

802 72 10 1 1

1,761 1,847 2,213,881 2,647,295

356 300 147,884 84,046

1,21 5 1,504

902 643 1,129 1,154 680,662 645,598 805 837 419,964 414,608

798 777 326,046 189,627 540 538 209,112 111,386

212 234 270,120 367,348 193,349 246,517 76,771 120,831 193 205 157,247 243,898

119 143 84,496 88,623 72 94 53,605 59,324

1,892

586 422 71 27 23

474

395 18 6

- 5

1,911

637 372 87 42 16

436

348 26 2

- 6

1,037 1,067 659,949 613,658

92 87 20,713 31,940

652 776 477 378 845 880 124, 199 144,037 638 696 18,800 22,300

769 766 86,483 79,551

584 604 12,131 14,318

60 83 31,174 55,625 13,661 24,838 17,513 30,787 44 66 4,707 6,023

16 31 6,542 8,861

10 26 1,962 1,959

1,356

428 358 50 8 1

508

434 33

-

- 1

1,332

494 336 38 10 2

417

375 21

-

-

-

642 739 111,132 124,607

203 141 13,067 19,430

352 510 493 370 459 419 459, 126 481,826 197 209 46,908 43,089

340 323 125,188 252,366 135 153 21,460 28,283

86 80 301,938 221,825 120,339 108,257 181,599 113,568 52 49 22,542 13,576

33 16 32,000 7,635

10 7 2,906 1,230

807

179 230 45 3 2

323

283 20

-

-

-

699

191 192 25 8 3

251

212 12 5

-

-

353 353 388,888 425,319

106 66 70,238 56,507

242 260 217 159 1,73 4 1,543 108,463 111,458 632 707 25,829 24,033

1,429 1,190 52,077 52,961

446 477 5,042 8,682

106 109 (D) 41,373 16,167 8,922

(D) 32,451 58 64 10,909 12,003

199 244 (D) 17,124

128 166 9,878 3,348

2,971

785 767 148 21 13

1,311

1,085

86 13

- 3

2,562

813 563 113 26 28

1,076

853 87 15 1

-

1,140 1,042 92,611 92,962

594 501 15,852 18,496

621 840 1,11 3

703 1,708 1,780 679,729 682,486

1,123 1,215 264,767 314,715

1,398 1,425 277,319 295,240 930 1,001 164,391 192,368

211 245 350,928 288,304 154,780 120,427 196,148 167,877 134 149 77,696 85,634

99 110 51,482 98,942 59 65 22,680 36,713

2,675

964 599 103 24 18

741

651 36 6

-

-

2,678

1,075

583 82 22 18

659

563 39 6

-

-

1,477 1,582 652,383 649,274

231 198 27,346 33,212

929 1,29 5

779 485

--continued

# 544 CALIFORNIA 2007 CENSUS OF AGRICULTURE - COUNTY DATA

USDA, National Agricultural Statistics Service 

# Table 46. 

# Selected Operation and Operator Characteristics: 2007 and 2002 - Con.

[For meaning of abbreviations and symbols, see introductory text]

Item Marin Mariposa Mendocino Merced Modoc Mono Monterey

FARMS

Land in farms ...................................................................farms, 2007 2002 acres, 2007 2002 Harvested cropland ......................................................farms, 2007 2002 acres, 2007 2002

TENURE

Full owners ......................................................................farms, 2007 2002 acres, 2007 2002 Harvested cropland ......................................................farms, 2007 2002 acres, 2007 2002

Part owners .....................................................................farms, 2007 2002 acres, 2007 2002 Owned land in farms ....................................................acres, 2007 2002 Rented land in farms ....................................................acres, 2007 2002 Harvested cropland ......................................................farms, 2007 2002 acres, 2007 2002

Tenants ............................................................................farms, 2007 2002 acres, 2007 2002 Harvested cropland ......................................................farms, 2007 2002 acres, 2007 2002

2007 NUMBER OF ALL OPERATORS

Total operators ...................................................................... number

Farms by number of operators: 1 operator ................................................................................... 2 operators ................................................................................. 3 operators ................................................................................. 4 operators ................................................................................. 5 or more operators ....................................................................

Total women operators ...................................................... number

Farms by number of women operators: 1 operator ............................................................................... 2 operators ............................................................................. 3 operators ............................................................................. 4 operators ............................................................................. 5 or more operators ................................................................

2002 NUMBER OF ALL OPERATORS

Total operators ...................................................................... number

Farms by number of operators: 1 operator ................................................................................... 2 operators ................................................................................. 3 operators ................................................................................. 4 operators ................................................................................. 5 or more operators ....................................................................

Total women operators ...................................................... number

Farms by number of women operators: 1 operator ............................................................................... 2 operators ............................................................................. 3 operators ............................................................................. 4 operators ............................................................................. 5 or more operators ................................................................

PRINCIPAL OPERATOR CHARACTERISTICS

Sex of operator: Male .............................................................................farms, 2007 2002 acres, 2007 2002

Female .........................................................................farms, 2007 2002 acres, 2007 2002

Primary occupation: Far ming ..................................................................................2007 2002 Other .......................................................................................2007 2002 255 254 133,275 150,645 86 85 4,007 5,706

131 153 28,913 45,852 54 55 434 1,245

46 43 52,235 54,288 18,909 17,651 33,326 36,637 14 14 1,706 2,542

78 58 52,127 50,505 18 16 1,867 1,919

418

132 95 22 5 1

176

139 17 1

-

-

416

126 104 17 6 1

142

122

7 2

-

-

172 202 105,776 136,561

83 52 27,499 14,084

151 136 104 118 302 284 212, 524 219,133 34 49 286 636

223 198 50,766 42,928 33 42 (D) (D)

62 62 142,295 165,202 41,797 50,822 100,498 114,380 1 6 (D) (D)

17 24 19,463 11,003

- 1

- (D)

526

121 144 34 1 2

248

184 20 8

-

-

458

139 124 14 6 1

183

153 15

-

-

-

208 237 182,024 195,215

94 47 30,500 23,918

135 161 167 123 1,13 6 1,184 608,674 707,466 729 751 31,609 30,892

971 935 362,104 340,161 624 600 20,597 17,343

93 140 119,058 227,971 51,177 64,084 67,881 163,887 64 93 9,121 11,732

72 109 127,512 139,334 41 58 1,891 1,817

1,888

557 482 74 14 9

682

576 44 2 1 1

1,853

655 435 63 21 10

643

543 38 8

-

-

878 956 516,255 639,921

258 228 92,419 67,545

583 707 553 477 2,60 7 2,964 1,041,115 1,006,127 1,946 2,231 466,304 479,156

1,826 2,025 339,853 395,713

1,319 1,515 174,200 175,424

492 549 558,040 469,514 282,052 216,068 275,988 253,446 425 469 229,246 211,979

289 390 143,222 140,900 202 247 62,858 91,753

4,263

1,380

941 217 51 18

1,059

924 55 3

- 3

4,498

1,796

942 153 38 35

953

822 46 7 3 1

2,405 2,697 982,877 952,025

202 267 58,238 54,102

1,55 1 2,106 1,056

858 448 428 597,740 608,928 267 275 103,467 107,969

296 278 264,171 279,796 161 168 51,016 60,393

104 116 304,069 312,150 118,915 133,393 185,154 178,757 80 91 48,940 44,159

48 34 29,500 16,982 26 16 3,511 3,417

742

204 200 38 6

-

270

244 13

-

-

-

670

237 159 18 12 2

201

167 14 2

-

-

358 381 522,863 565,015

90 47 74,877 43,913

269 296 179 132 84 63 44,6 10 54,366 28 32 8,144 11,611

56 40 14,309

(D) 17 21 (D) 6,998

18 13 27,910 (D) 7,560

(D) 20,350 (D)

9 7 6,480 3,859

10 10 2,391

(D)

2 4 (D) 754

133

43 36 4

- 1

42

34 2

- 1

-

106

23 37 3

-

-

36

32 2

-

-

-

65 56 41,620 53,903

19 7 2,990

463

38 44 46 19 1,19 9 1,216 1,327,972 1,260,613 685 788 227,834 260,072

747 700 546,728 489,910 353 412 44,583 102,933

162 193 505,251 538,182 257,061 269,817 248,190 268,365 100 134 92,190 90,570

290 323 275,993 232,521 232 242 91,061 66,569

2,102

632 435 78 19 35

575

441 46 6 1 3

2,059

682 383 95 24 32

518

400 44 5 2 1

1,000 1,048 1,261,311 1,213,488

199 168 66,661 47,125

768 839 431 377

--continued

# 2007 CENSUS OF AGRICULTURE - COUNTY DATA CALIFORNIA 545

USDA, National Agricultural Statistics Service 

# Table 46. 

# Selected Operation and Operator Characteristics: 2007 and 2002 - Con.

[For meaning of abbreviations and symbols, see introductory text]

Item Napa Nevada Orange Placer Plumas Riverside Sacramento

FARMS

Land in farms .................................................................. farms, 2007 2002 acres, 2007 2002 Harvested cropland ..................................................... farms, 2007 2002 acres, 2007 2002

TENURE

Full owners ...................................................................... farms, 2007 2002 acres, 2007 2002 Harvested cropland ..................................................... farms, 2007 2002 acres, 2007 2002

Part owners ..................................................................... farms, 2007 2002 acres, 2007 2002 Owned land in farms ................................................... acres, 2007 2002 Rented land in farms ................................................... acres, 2007 2002 Harvested cropland ..................................................... farms, 2007 2002 acres, 2007 2002

Tenants ........................................................................... farms, 2007 2002 acres, 2007 2002 Harvested cropland ..................................................... farms, 2007 2002 acres, 2007 2002

2007 NUMBER OF ALL OPERATORS

Total operators .......................................................................number

Farms by number of operators: 1 operator ................................................................................... 2 operators ................................................................................. 3 operators ................................................................................. 4 operators ................................................................................. 5 or more operators ....................................................................

Total women operators .......................................................number

Farms by number of women operators: 1 operator ............................................................................... 2 operators ............................................................................. 3 operators ............................................................................. 4 operators ............................................................................. 5 or more operators ................................................................

2002 NUMBER OF ALL OPERATORS

Total operators .......................................................................number

Farms by number of operators: 1 operator ................................................................................... 2 operators ................................................................................. 3 operators ................................................................................. 4 operators ................................................................................. 5 or more operators ....................................................................

Total women operators .......................................................number

Farms by number of women operators: 1 operator ............................................................................... 2 operators ............................................................................. 3 operators ............................................................................. 4 operators ............................................................................. 5 or more operators ................................................................

PRINCIPAL OPERATOR CHARACTERISTICS

Sex of operator: Male ............................................................................ farms, 2007 2002 acres, 2007 2002

Female ........................................................................ farms, 2007 2002 acres, 2007 2002

Primary occupation: Far ming .................................................................................. 2007 2002 Other ...................................................................................... 2007 2002 1,638 1,456 223,246 237,548

1,503 1,285 51,860 52,838

1,429 1,256 124,570 143,182

1,320 1,128 31,907 35,999

142 122 78,543 53,712 38,476 18,796 40,067 34,916

123 97 17,723 14,093

67 78 20,133 40,654 60 60 2,230 2,746

2,748

854 570 164 34 16

790

653 33 18 1 2

2,582

756 487 117 55 41

688

562 44 8 1 2

1,381 1,246 193,935 215,419

257 210 29,311 22,129

678 799 960 657 690 599 70,1 67 82,336

218 203 2,621 3,326

580 522 25,958 52,914

181 176 2,103 2,934

83 63 39,212 26,135 7,284 5,420 31,928 20,715 27 20 (D) 359

27 14 4,997 3,287

10 7 (D) 33

1,181

265 378 35 8 4

562

479 37 3

-

-

958

309 246 29 12 3

402

338 29 2

-

-

455 435 60,076 72,040

235 164 10,091 10,296

295 304 395 295 325 348 87,4 35 68,018

200 224 7,846 10,593

230 240 79,896 59,195

117 134 3,427 4,941

14 20 3,680 3,164 1,429

803 2,251 2,361

14 17 2,000 1,817

81 88 3,859 5,659

69 73 2,419 3,835

518

184 103 32 2 4

168

142

6 2 2

-

538

211 106 20 3 8

158

142

5 2

-

-

243 279 85,560 66,540

82 69 1,875 1,478

133 167 192 181 1,48 8 1,438 132,221 131,311 487 413 21,990 27,049

1,250 1,181 42,720 47,641

416 325 5,363 9,147

152 174 55,138 62,953 14,640 12,782 40,498 50,171 35 53 5,223 9,556

86 83 34,363 20,717 36 35 11,404 8,346

2,476

600 813 59 11 5

1,115

1,010

45 5

-

-

2,311

687 674 51 16 10

970

860 46 6

-

-

1,063 1,074 114,369 116,104

425 364 17,852 15,207

670 782 818 656 142 142 120, 253 170,521 33 54 7,692 9,255

120 110 (D) 125,229 28 44 2,805 5,960

18 23 72,501 43,300 31,190 10,429 41,311 32,871 5 10 4,887 3,295

4 9 (D) 1,992

-

-

-

-

262

43 86 6 6 1

116

95 6 3

-

-

247

66 59 6 10 1

94

76 9

-

-

-

108 116 114,218 167,530

34 26 6,035 2,991

70 68 72 74 3,46 3 3,186 354,753 572,036

2,096 1,831 163,783 195,372

3,047 2,736 159,605 209,196

1,873 1,572 48,751 87,367

228 254 117,273 187,604 53,921 58,545 63,352 129,059 134 160 74,684 84,057

188 196 77,875 175,236 89 99 40,348 23,948

5,480

1,758 1,454

219 16 16

2,095

1,826

109 13 3

-

5,042

1,677 1,268

170 44 27

1,736

1,467

113 13 1

-

2,549 2,440 318,348 547,204

914 746 36,405 24,832

1,66 2 1,665 1,801 1,521 1,393 1,513 328,593 314,317 583 648 113,315 123,999

1,013 1,131 137,936 85,826

340 398 34,407 31,757

200 218 133,266 164,193 47,131 47,781 86,135 116,412 120 131 47,995 51,564

180 164 57,391 64,298

123 119 30,913 40,678

2,362

651 609 84 35 14

910

746 53 17

- 1

2,488

748 621 100 35 9

934

756 79 4 2

-

1,075 1,165 304,105 288,040

318 348 24,488 26,277

667 884 726 629

--continued

# 546 CALIFORNIA 2007 CENSUS OF AGRICULTURE - COUNTY DATA

USDA, National Agricultural Statistics Service 

# Table 46. 

# Selected Operation and Operator Characteristics: 2007 and 2002 - Con.

[For meaning of abbreviations and symbols, see introductory text]

Item San Benito San Bernardino San Diego San Francisco San Joaquin San Luis Obispo San Mateo Santa Barbara

FARMS

Land in farms ...................................................................farms, 2007 2002 acres, 2007 2002 Harvested cropland ......................................................farms, 2007 2002 acres, 2007 2002

TENURE

Full owners ......................................................................farms, 2007 2002 acres, 2007 2002 Harvested cropland ......................................................farms, 2007 2002 acres, 2007 2002

Part owners .....................................................................farms, 2007 2002 acres, 2007 2002 Owned land in farms ....................................................acres, 2007 2002 Rented land in farms ....................................................acres, 2007 2002 Harvested cropland ......................................................farms, 2007 2002 acres, 2007 2002

Tenants ............................................................................farms, 2007 2002 acres, 2007 2002 Harvested cropland ......................................................farms, 2007 2002 acres, 2007 2002

2007 NUMBER OF ALL OPERATORS

Total operators ...................................................................... number

Farms by number of operators: 1 operator ................................................................................... 2 operators ................................................................................. 3 operators ................................................................................. 4 operators ................................................................................. 5 or more operators ....................................................................

Total women operators ...................................................... number

Farms by number of women operators: 1 operator ............................................................................... 2 operators ............................................................................. 3 operators ............................................................................. 4 operators ............................................................................. 5 or more operators ................................................................

2002 NUMBER OF ALL OPERATORS

Total operators ...................................................................... number

Farms by number of operators: 1 operator ................................................................................... 2 operators ................................................................................. 3 operators ................................................................................. 4 operators ................................................................................. 5 or more operators ....................................................................

Total women operators ...................................................... number

Farms by number of women operators: 1 operator ............................................................................... 2 operators ............................................................................. 3 operators ............................................................................. 4 operators ............................................................................. 5 or more operators ................................................................

PRINCIPAL OPERATOR CHARACTERISTICS

Sex of operator: Male .............................................................................farms, 2007 2002 acres, 2007 2002

Female .........................................................................farms, 2007 2002 acres, 2007 2002

Primary occupation: Far ming ..................................................................................2007 2002 Other .......................................................................................2007 2002 625 677 579,851 578,351 324 342 32,571 34,780

435 448 185,076 192,204 222 215 9,952 7,873

116 151 327,102 325,991 161,285 215,146 165,817 110,845 62 84 15,922 13,790

74 78 67,673 60,156 40 43 6,697 13,117

948

367 210 39 5 4

288

255 12 3

-

-

1,102

367 249 34 14 13

349

275 25 8

-

-

516 546 489,430 487,815

109 131 90,421 90,536

347 383 278 294 1,40 5 1,386 514,234 513,642 709 715 27,516 37,751

1,168 1,141 67,282 100,419 585 596 14,582 24,786

93 99 (D) (D) (D) (D) (D) (D) 50 49 8,990 7,070

144 146 (D) (D) 74 70 3,944 5,895

2,272

720 552 106 15 12

862

713 55 9 3

-

2,093

802 501 55 24 4

702

578 56 4

-

-

1,041 1,095 506,711 485,794

364 291 7,523 27,848

679 768 726 618 6,68 7 5,255 303,889 408,003

5,522 4,394 67,279 72,683

6,162 4,745 221,692 262,845

5,161 3,995 52,875 47,496

239 237 56,486 120,549 19,993 28,784 36,493 91,765

168 193 8,798 14,885

286 273 25,711 24,609

193 206 5,606 10,302

10,293

3,657 2,647

282 61 40

3,687

3,279

162 25 1 1

7,822

3,151 1,800

222 43 39

2,564

2,290

102 14 3 3

5,275 4,245 247,431 373,249

1,412 1,010 56,458 34,754

2,53 0 2,650 4,157 2,605 6 8 7 (D)

6 7 (D) (D)

4 7 (D) (D)

4 6 (D) (D)

1

- (D)

- (D)

- (D)

- 1

- (D)

-

1 1 (D) (D)

1 1 (D) (D)

6

6

-

-

-

-

-

-

-

-

-

-

8

8

-

-

-

-

-

-

-

-

-

-

6 8 7 (D)

-

-

-

-

2 3 4 5 3,62 4 4,026 737,503 812,629

2,843 3,190 444,670 517,267

2,746 2,990 234,296 275,796

2,137 2,304 155,261 175,558

584 643 391,864 381,162 154,724 161,394 237,140 219,768 497 569 203,371 234,086

294 393 111,343 155,671 209 317 86,038 107,623

5,673

2,040 1,248

257 63 16

1,512

1,313

86 9

-

-

6,136

2,417 1,279

231 63 36

1,481

1,292

73 9 4

-

3,188 3,614 704,265 776,335

436 412 33,238 36,294

2,02 6 2,713 1,598 1,313 2,784 2,322 1,369,604 1,318,142 1,557 1,378 105,492 108,465

2,219 1,795 673,740 563,805

1,288 1,077 48,004 47,417

263 256 487,413 519,245 148,925 233,766 338,488 285,479 119 143 33,969 32,143

302 271 208,451 235,092 150 158 23,519 28,905

4,559

1,389 1,124

205 42 24

1,694

1,435

113 11

-

-

3,654

1,306

802 150 47 17

1,191

982 86 9 1 1

2,173 1,901 1,136,136 1,211,598

611 421 233,468 106,544

1,38 0 1,397 1,404

925 329 306 57,089 41,530

161 173 4,909 6,273

200 196 31,467 21,233 90 87 1,933 1,371

36 32 9,461 12,240 2,181 7,688 7,280 4,552

26 27 1,314 2,609

93 78 16,161 8,057

45 59 1,662 2,293

541

167 136 16 6 4

211

138 18 7 1 2

474

171 110 17 8

-

151

114 14 3

-

-

243 227 53,713 38,769

86 79 3,376 2,761

160 194 169 112 1,59 7 1,444 727,050 756,937

1,132 1,029 93,280 105,137

1,201 1,062 250,546 292,769 829 756 27,482 44,792

131 149 343,017 281,630 96,171 92,294 246,846 189,336 94 115 30,108 30,914

265 233 133,487 182,538 209 158 35,690 29,431

2,580

883 575 90 29 20

775

652 49 3 2 1

2,299

839 461 89 30 25

675

541 55 8

-

-

1,286 1,188 670,354 699,986

311 256 56,696 56,951

813 890 784 554

--continued

# 2007 CENSUS OF AGRICULTURE - COUNTY DATA CALIFORNIA 547

USDA, National Agricultural Statistics Service 

# Table 46. 

# Selected Operation and Operator Characteristics: 2007 and 2002 - Con.

[For meaning of abbreviations and symbols, see introductory text]

Item Santa Clara Santa Cruz Shasta Sierra Siskiyou Solano Sonoma Stanislaus

FARMS

Land in farms .................................................................. farms, 2007 2002 acres, 2007 2002 Harvested cropland ..................................................... farms, 2007 2002 acres, 2007 2002

TENURE

Full owners ...................................................................... farms, 2007 2002 acres, 2007 2002 Harvested cropland ..................................................... farms, 2007 2002 acres, 2007 2002

Part owners ..................................................................... farms, 2007 2002 acres, 2007 2002 Owned land in farms ................................................... acres, 2007 2002 Rented land in farms ................................................... acres, 2007 2002 Harvested cropland ..................................................... farms, 2007 2002 acres, 2007 2002

Tenants ........................................................................... farms, 2007 2002 acres, 2007 2002 Harvested cropland ..................................................... farms, 2007 2002 acres, 2007 2002

2007 NUMBER OF ALL OPERATORS

Total operators .......................................................................number

Farms by number of operators: 1 operator ................................................................................... 2 operators ................................................................................. 3 operators ................................................................................. 4 operators ................................................................................. 5 or more operators ....................................................................

Total women operators .......................................................number

Farms by number of women operators: 1 operator ............................................................................... 2 operators ............................................................................. 3 operators ............................................................................. 4 operators ............................................................................. 5 or more operators ................................................................

2002 NUMBER OF ALL OPERATORS

Total operators .......................................................................number

Farms by number of operators: 1 operator ................................................................................... 2 operators ................................................................................. 3 operators ................................................................................. 4 operators ................................................................................. 5 or more operators ....................................................................

Total women operators .......................................................number

Farms by number of women operators: 1 operator ............................................................................... 2 operators ............................................................................. 3 operators ............................................................................. 4 operators ............................................................................. 5 or more operators ................................................................

PRINCIPAL OPERATOR CHARACTERISTICS

Sex of operator: Male ............................................................................ farms, 2007 2002 acres, 2007 2002

Female ........................................................................ farms, 2007 2002 acres, 2007 2002

Primary occupation: Far ming ..................................................................................2007 2002 Other ......................................................................................2007 2002 1,068 1,026 299,866 320,851 647 633 23,381 22,764

841 802 131,709 135,115 501 493 7,787 8,111

106 110 133,636 127,881 34,267 58,367 99,369 69,514 68 72 8,655 8,079

121 114 34,521 57,855 78 68 6,939 6,574

1,692

600 370 77 9 12

585

462 37 7 2 4

1,593

587 370 38 12 19

538

453 30 7 1

-

840 814 282,960 290,726

228 212 16,906 30,125

501 581 567 445 682 754 47,4 89 67,166

522 592 20,698 24,555

440 500 25,476 33,629

324 375 3,063 5,399

72 75 12,975 11,829 4,358 5,132 8,617 6,697

59 66 10,305 8,528

170 179 9,038 21,708

139 151 7,330 10,628

1,136

354 259 43 14 12

379

323 21 2 2

-

1,271

410 245 56 24 19

415

307 45 6

-

-

535 618 43,948 64,721

147 136 3,541 2,445

422 489 260 265 1,47 3 1,126 390,812 333,828 510 429 21,942 20,492

1,204

875 177,899 128,224 422 349 12,664 8,981

215 198 190,620 187,216 70,182 56,424 120,438 130,792 74 64 7,839 9,367

54 53 22,293 18,388 14 16 1,439 2,144

2,443

608 789 53 18 5

1,063

939 58 1

- 1

1,813

568 476 53 15 14

744

617 46 9 2

-

1,085

841 343,381 296,334

388 285 47,431 37,494

689 590 784 536 50 52 28,7 82 58,649 21 21 2,412 2,910

44 35 (D) 11,032 21 13 2,412 1,855

4 12 13,362 43,159 2,147

(D) 11,215

(D)

- 7

- (D)

2 5 (D) 4,458

- 1

- (D)

77

26 22 1 1

-

30

25 1 1

-

-

75

32 18 1 1

-

29

25 2

-

-

-

44 45 (D) (D)

6 7 (D) (D)

36 36 14 16 846 796 597, 534 610,388 381 450 102,647 118,489

649 585 245,690 231,712 261 302 33,005 46,982

146 150 313,183 300,773 119,663 136,998 193,520 163,775 96 116 56,398 67,310

51 61 38,661 77,903 24 32 13,244 4,197

1,443

355 416 52 16 7

544

485 25 3

-

-

1,369

357 363 52 10 14

447

396 21 3

-

-

698 695 548,539 567,189

148 101 48,995 43,199

450 536 396 260 890 915 358, 225 351,453 506 528 120,410 131,408

646 630 98,311 87,247

366 338 19,958 24,552

137 160 178,254 165,249 36,784 37,223 141,470 128,026 83 117 70,608 59,342

107 125 81,660 98,957 57 73 29,844 47,514

1,456

433 401 44 4 8

517

471 15 2 1 1

1,456

477 372 47 11 8

505

418 28 9 1

-

726 728 347,325 329,359

164 187 10,900 22,094

470 558 420 357 3,42 9 3,447 530,895 627,227

2,386 2,322 91,197 91,537

2,805 2,798 273,652 416,802

2,007 1,945 45,490 54,664

349 387 159,642 151,466 68,667 67,042 90,975 84,424

234 233 40,789 29,801

275 262 97,601 58,959

145 144 4,918 7,072

5,417

1,907 1,235

212 44 31

1,775

1,476

118 15

- 3

5,566

1,878 1,219

241 66 43

1,766

1,474

129

7 2 1

2,738 2,800 482,669 580,758

691 647 48,226 46,469

1,62 1 1,916 1,808 1,531 4,114 4,267 788,954 789,853

2,833 3,055 307,992 347,750

3,110 3,166 258,549 275,036

2,133 2,281 128,728 147,700

631 677 450,551 389,716 123,475 147,223 327,076 242,493 460 522 134,706 151,515

373 424 79,854 125,101 240 252 44,558 48,535

6,417

2,228 1,574

239 50 23

1,816

1,638

73 9

- 1

6,358

2,640 1,336

199 50 42

1,553

1,365

63 11 2 3

3,612 3,854 758,583 743,148

502 413 30,371 46,705

2,224 2,770 1,890 1,497

--continued

# 548 CALIFORNIA 2007 CENSUS OF AGRICULTURE - COUNTY DATA

USDA, National Agricultural Statistics Service 

# Table 46. 

# Selected Operation and Operator Characteristics: 2007 and 2002 - Con.

[For meaning of abbreviations and symbols, see introductory text]

Item Sutter Tehama Trinity Tulare Tuolumne Ventura Yolo Yuba

FARMS

Land in farms ...................................................................farms, 2007 2002 acres, 2007 2002 Harvested cropland ......................................................farms, 2007 2002 acres, 2007 2002

TENURE

Full owners ......................................................................farms, 2007 2002 acres, 2007 2002 Harvested cropland ......................................................farms, 2007 2002 acres, 2007 2002

Part owners .....................................................................farms, 2007 2002 acres, 2007 2002 Owned land in farms ....................................................acres, 2007 2002 Rented land in farms ....................................................acres, 2007 2002 Harvested cropland ......................................................farms, 2007 2002 acres, 2007 2002

Tenants ............................................................................farms, 2007 2002 acres, 2007 2002 Harvested cropland ......................................................farms, 2007 2002 acres, 2007 2002

2007 NUMBER OF ALL OPERATORS

Total operators ...................................................................... number

Farms by number of operators: 1 operator ................................................................................... 2 operators ................................................................................. 3 operators ................................................................................. 4 operators ................................................................................. 5 or more operators ....................................................................

Total women operators ...................................................... number

Farms by number of women operators: 1 operator ............................................................................... 2 operators ............................................................................. 3 operators ............................................................................. 4 operators ............................................................................. 5 or more operators ................................................................

2002 NUMBER OF ALL OPERATORS

Total operators ...................................................................... number

Farms by number of operators: 1 operator ................................................................................... 2 operators ................................................................................. 3 operators ................................................................................. 4 operators ................................................................................. 5 or more operators ....................................................................

Total women operators ...................................................... number

Farms by number of women operators: 1 operator ............................................................................... 2 operators ............................................................................. 3 operators ............................................................................. 4 operators ............................................................................. 5 or more operators ................................................................

PRINCIPAL OPERATOR CHARACTERISTICS

Sex of operator: Male .............................................................................farms, 2007 2002 acres, 2007 2002

Female .........................................................................farms, 2007 2002 acres, 2007 2002

Primary occupation: Far ming ..................................................................................2007 2002 Other .......................................................................................2007 2002 1,263 1,391 359,802 371,964

1,055 1,241 241,597 267,891

856 949 91,623 128,604 703 838 61,922 90,955

237 255 192,606 163,340 72,883 63,959 119,723 99,381

202 230 122,124 112,755

170 187 75,573 80,020

150 173 57,551 64,181

2,152

636 489 87 33 18

616

482 56 5

- 1

2,228

772 477 93 37 12

565

461 39 6 2

-

1,096 1,266 344,810 358,311

167 125 14,992 13,653

748 943 515 448 1,75 2 1,573 532,206 862,440 826 860 60,556 69,409

1,388 1,216 228,740 289,909 651 697 36,346 45,510

275 278 220,014 508,844 82,994 97,503 137,020 411,341 138 143 17,786 22,663

89 79 83,452 63,687 37 20 6,424 1,236

2,825

863 774 72 28 15

1,107

975 54 8

-

-

2,411

877 611 61 10 14

859

788 28 5

-

-

1,392 1,268 494,290 627,628

360 305 37,916 234,812

877 914 875 659 181 135 124, 943 105,469 81 61 1,040

725

142 112 48,519 (D) 72 54 757 (D)

20 20 75,902 58,888 21,768 38,265 54,134 20,623 6 4 (D) 50

19 3 522 (D)

3 3 (D) (D)

278

95 77 7 2

-

115

103

6

-

-

-

207

75 48 12

-

-

83

65 9

-

-

-

135 97 115,365 100,202

46 38 9,578 5,267

61 54 120 81 5,24 0 5,738 1,168,684 1,393,456 4,158 4,794 560,320 682,460

4,417 4,715 638,595 780,282

3,540 3,967 323,870 383,350

530 617 404,728 486,724 165,163 226,895 239,565 259,829 431 524 187,331 225,981

293 406 125,361 126,450 187 303 49,119 73,129

8,170

2,983 1,785

373 59 40

2,152

1,881

107 11 3 2

8,672

3,483 1,848

269 79 59

1,910

1,673

99 9 3

-

4,615 5,196 1,089,589 1,260,974

625 542 79,095 132,482

2,78 6 3,813 2,454 1,925 366 358 117,085 149,767 78 75 714 898

272 251 31,357 23,533 67 57 (D) 402

87 78 80,115 114,495 19,249 24,047 60,866 90,448 10 14 (D) 492

7 29 5,613 11,739 1 4 (D)

4

603

164 178 13 11

-

279

236 14 5

-

-

570

193 136 19 5 5

220

182 19

-

-

-

263 279 101,247 144,872

103 79 15,838 4,895

173 198 193 160 2,43 7 2,318 259,055 332,371

2,078 2,000 96,889 103,262

2,082 1,976 113,256 171,031

1,806 1,714 43,329 59,350

121 105 65,920 86,179 26,116 19,853 39,804 66,326 96 92 29,689 22,392

234 237 79,879 75,161

176 194 23,871 21,520

3,851

1,370

846 161 34 26

1,183

1,014

53 16

- 3

3,671

1,340

774 132 37 35

1,019

866 63 3 2 2

2,011 1,925 223,015 299,092

426 393 36,040 33,279

1,16 3 1,329 1,274

989 983 1,060 479,858 550,407 682 758 258,261 315,336

692 708 142,574 152,743 451 475 55,885 74,549

142 162 230,906 284,260 73,434 78,566 157,472 205,694 119 133 115,311 150,430

149 190 106,378 113,404 112 150 87,065 90,357

1,647

496 370 78 22 17

512

422 42 2

-

-

1,685

594 367 66 18 15

471

412 28 1

-

-

822 878 463,869 502,845

161 182 15,989 47,562

530 689 453 371 828 863 160, 898 234,129 377 458 62,510 79,171

635 596 76,580 99,526

245 308 25,314 36,830

114 184 53,980 96,602 15,022 29,258 38,958 67,344 61 84 19,263 27,863

79 83 30,338 38,001 71 66 17,933 14,478

1,385

382 373 50 19 4

523

446 35 1 1

-

1,415

447 338 50 18 10

437

379 21 4 1

-

663 727 134,674 213,808

165 136 26,224 20,321

417 480 411 383

--continued

# 2007 CENSUS OF AGRICULTURE - COUNTY DATA CALIFORNIA 549

USDA, National Agricultural Statistics Service 

# Table 46. 

# Selected Operation and Operator Characteristics: 2007 and 2002 - Con.

[For meaning of abbreviations and symbols, see introductory text]

Item California Alameda Alpine Amador Butte Calaveras Colusa

PRINCIPAL OPERATOR CHARACTERISTICS - Con.

Place of residence: On farm operated ................................................................... 2007 2002 Not on farm operated ............................................................. 2007 2002

Days worked off farm: None ....................................................................................... 2007 2002 Any ......................................................................................... 2007 2002

1 to 49 days ........................................................................ 2007 2002 50 to 99 days ...................................................................... 2007 2002 100 to 199 days .................................................................. 2007 2002 200 days or more ............................................................... 2007 2002

Years on present farm: 2 years or less ........................................................................ 2007 2002 3 or 4 years ............................................................................ 2007 2002 5 to 9 years ............................................................................ 2007 2002 10 years or more .................................................................... 2007 2002 Average years on present farm .............................................. 2007 2002

Age group: Under 25 years ....................................................................... 2007 2002 25 to 34 years ........................................................................ 2007 2002 35 to 44 years ........................................................................ 2007 2002

45 to 54 years ........................................................................ 2007 2002 55 to 59 years ........................................................................ 2007 2002 60 to 64 years ........................................................................ 2007 2002

65 to 69 years ........................................................................ 2007 2002 70 years and over .................................................................. 2007 2002 Averag e age ........................................................................... 2007 2002

INTERNET ACCESS

Farms with- Internet access ....................................................................... 2007 2002 High-speed internet access ................................................ 2007 2002

FARM TYPOLOGY (SEE TEXT)

Small family farms: Limited-resource ......................................................... farms, 2007 acres, 2007 Retirement ................................................................... farms, 2007 acres, 2007 Residential/lifestyle ..................................................... farms, 2007 acres, 2007 Farming occupation/lower sales .................................. farms, 2007 acres, 2007 Farming occupation/higher sales ................................ farms, 2007 acres, 2007

Large family farms ........................................................... farms, 2007 acres, 2007 Very large family farms .................................................... farms, 2007 acres, 2007 Nonfamily farms .............................................................. farms, 2007 acres, 2007

TYPE OF ORGANIZATION

Family or individual ......................................................... farms, 2007 2002 acres, 2007 2002

Partnership ...................................................................... farms, 2007 2002 acres, 2007 2002 59,4 64 57,739 21,569 21,892

26,322 40,223 54,711 39,408

10,663 5,037 5,353 2,813 8,185 5,521 30,510 26,037

3,793 3,239 6,780 6,278 16,286 14,711 54,174 55,403

18.6 18.4

292 364 2,466 2,299 8,279 11,470

20,672 22,904 12,442 10,870 11,752 9,528

9,264 7,219 15,866 14,977

58.4 56.8

53,738

(NA) 35,276

(NA)

8,752 767,803 17,209 1,861,627

24,566 2,249,975

10,129 2,167,692 2,949 2,346,296

3,197 2,418,733 6,293 8,128,107 7,938 5,424,462

64,001 64,442 12,828,975 14,779,799

9,552 8,953 7,085,500 7,542,134 354 283 171 141

153 192 372 232

80 38 42 7 53 22 197 165

28 17 44 18 135 79 318 310 17.6 20.5

- 2 6 5 57 51

139 118 89 66 56 50

73 50 105 82 59.0 58.0

332 (NA ) 237 (NA)

48 8,745

136 34,329

196 28,353 68 15,778 7 15,241

14 17,519 12 37,935 44 46,733

416 358 101,440 192,718

55 47 81,631 20,451 4 10 3 4

3 4 4 10

- 5

-

- 2

- 2 5

- 2

- 1

- 2 7 9 26.1 13.4

-

-

- 2

- 3

1 4 3 3 2

-

- 1 1 1 59.3 50.0

6 (NA )

4 (NA)

-

- 1 (D)

4 590

-

- 1 (D)

-

-

-

- 1 (D)

3 10 (D) (D)

3 4 1,380 1,450 379 378 100 73

149 236 330 215

61 16 36 14 68 35 165 150

36 14 25 43 123 87 295 307 17.7 17.2

3

- 11 6 40 58

113 120 60 80 72 45

76 42 104 100 59.7 58.3

354 (NA ) 185 (NA)

58 (D) 173 21,246

150 31,586 47 8,909

16 19,099

6 4,920 5 (D) 24 20,737

406 405 131,926 167,196

38 34 21,229 21,955 1,478 1,483

570 645

675 1,017 1,373 1,111

266 104 142 91 186 196 779 720

96 144 203 155 398 430 1,35 1 1,399 18.2 17.3

4 21 86 108 242 339

523 638 333 266 340 234

198 168 322 354 57.0 55.2

1,413 (NA) 862 (NA)

287 13,668

389 17,240

610 42,747

216 29,458 78 42,703

141 46,391

139 98,959

188 82,620

1,612 1,709 183,218 198,262

253 254 108,852 99,679 532 467 99 109

175 279 456 297

77 32 46 14 93 37 240 214

20 46 42 62 170 126 399 342 17.2 16.4

-

- 16 16 76 99

158 154 98 80 87 71

87 43 109 113 58.4 56.7

433 (NA ) 249 (NA)

115 12,876

153 31,893

231 35,490 82 28,138 10 21,663

4 38,150 2 (D) 34 (D)

548 513 166,239 197,742

45 44 27,594 52,075 404 400 410 421

231 381 583 440

81 66 71 34 124 73 307 267

21 26 79 57 125 145 589 593 18.9 19.0

11 9 53 62 91 145

215 263 148 101 95 70

89 36 112 135 55.6 53.3

560 (NA ) 406 (NA)

44 2,869

91 11,313

229 40,073 59 16,461 60 23,347

84 82,298

136 221,213 111 76,518

582 577 256,669 232,215

161 162 160,734 179,864

--continued

# 550 CALIFORNIA 2007 CENSUS OF AGRICULTURE - COUNTY DATA

USDA, National Agricultural Statistics Service 

# Table 46. 

# Selected Operation and Operator Characteristics: 2007 and 2002 - Con.

[For meaning of abbreviations and symbols, see introductory text]

Item Contra Costa Del Norte El Dorado Fresno Glenn Humboldt Imperial

PRINCIPAL OPERATOR CHARACTERISTICS - Con.

Place of residence: On farm operated ...................................................................2007 2002 Not on farm operated ..............................................................2007 2002

Days worked off farm: None .......................................................................................2007 2002 Any .........................................................................................2007 2002

1 to 49 days ........................................................................2007 2002 50 to 99 days ......................................................................2007 2002 100 to 199 days ..................................................................2007 2002 200 days or more ................................................................2007 2002

Years on present farm: 2 years or less ........................................................................2007 2002 3 or 4 years .............................................................................2007 2002 5 to 9 years .............................................................................2007 2002 10 years or more ....................................................................2007 2002 Average years on present farm ..............................................2007 2002

Age group: Under 25 years .......................................................................2007 2002 25 to 34 years .........................................................................2007 2002 35 to 44 years .........................................................................2007 2002

45 to 54 years .........................................................................2007 2002 55 to 59 years .........................................................................2007 2002 60 to 64 years .........................................................................2007 2002

65 to 69 years .........................................................................2007 2002 70 years and over ...................................................................2007 2002 Averag e age ...........................................................................2007 2002

INTERNET ACCESS

Farms with- Internet access .......................................................................2007 2002 High-speed internet access ................................................2007 2002

FARM TYPOLOGY (SEE TEXT)

Small family farms: Limited-resource ..........................................................farms, 2007 acres, 2007 Retirement ...................................................................farms, 2007 acres, 2007 Residential/lifestyle ......................................................farms, 2007 acres, 2007 Farming occupation/lower sales ..................................farms, 2007 acres, 2007 Farming occupation/higher sales .................................farms, 2007 acres, 2007

Large family farms ...........................................................farms, 2007 acres, 2007 Very large family farms ....................................................farms, 2007 acres, 2007 Nonfamily farms ...............................................................farms, 2007 acres, 2007

TYPE OF ORGANIZATION

Family or individual ..........................................................farms, 2007 2002 acres, 2007 2002

Partnership ......................................................................farms, 2007 2002 acres, 2007 2002 452 458 182 134

201 300 433 292

84 41 30 27 51 46 268 178

22 13 40 39 116 85 456 455 19.8 20.4

- 2 24 6 52 58

157 191 82 92 116 81

85 57 118 105 58.8 57.8

414 (NA ) 296 (NA)

95 2,356

165 28,065

207 19,965 65 13,691 20 8,946

15 9,819

19 26,898 48 37,253

515 499 (D) 96,192

60 56 17,928 15,572 67 81 18 8

29 45 56 44

7 8 5 5 12 4 32 27

2 2 9 13 18 15 56 59 19.0 20.9

-

- 4 5 10 14

28 21 11 16 10 9

6 7 16 17 56.3 55.8

63 (NA )

41 (NA)

17 847 22 2,986

23 873

5 (D)

2 (D)

4 704

5 8,238 7 (D)

66 67 (D) 6,678

10 11 3,227 3,399 1,104 984 164 132

400 518 868 598

157 71 106 39 162 101 443 387

92 82 135 129 369 244 672 661 14.3 15.0

5 4 22 31 82 182

352 295 191 159 225 148

163 117 228 180 59.0 56.4

967 (NA ) 504 (NA)

215 20,694

380 32,004

443 22,423

165 8,851 6 (D)

11 (D)

2 (D) 46 7,215

1,117 1,022 78,500 96,434

98 74 21,823 18,792 4,121 4,430 1,960 1,851

2,083 3,207 3,998 3,074

739 355 437 231 590 429 2,23 2 2,059

310 248 438 404 923 926 4,410 4,703 21.1 20.3

35 24 255 187 629 938

1,430 1,844 1,026

796 751 734

710 565 1,245 1,193 58.2 56.7

3,433 (NA) 2,063 (NA)

638 28,447 1,042 97,320 1,634 110,834 790 81,910

341 94,811

326 107,466 741 814,320 569 301,116

4,700 4,931 736,792 949,055

828 805 460,846 523,999 942 929 300 354

486 655 756 628

130 111 50 58 117 92 459 367

40 35 74 63 210 237 918 948 20.3 18.9

3 10 70 63 123 221

341 386 167 145 143 133

153 123 242 202 57.4 54.9

783 (NA ) 504 (NA)

152 5,684

208 14,774

319 35,285

114 18,538 64 39,098

120 65,077

158 186,647 107 124,083

936 1,021 217,887 260,352

218 180 141,029 173,460 665 775 187 218

324 489 528 504

98 93 52 39 96 69 282 303

32 29 53 55 132 164 635 745 21.0 19.3

6 4 34 58 71 134

200 310 145 141 143 110

97 86 156 150 58.2 55.1

561 (NA ) 325 (NA)

105 9,743

223 47,014

215 110,099 155 97,445 44 144,236

26 26,256 36 59,767 48 102,917

735 872 348,975 368,711

64 85 126,081 160,681 165 221 287 316

199 354 253 183

43 20 15 15 25 21 170 127

11 5 22 39 72 80 347 413 23.3 21.0

4 3 7 28 44 81

129 164 82 62 50 55

47 44 89 100 58.0 55.5

361 (NA ) 273 (NA)

28 1,259

39 3,772

63 3,909

40 7,425

28 4,957

28 14,772

138 269,246 88 122,009

268 339 199,469 303,200

80 70 81,588 67,510

--continued

# 2007 CENSUS OF AGRICULTURE - COUNTY DATA CALIFORNIA 551

USDA, National Agricultural Statistics Service 

# Table 46. 

# Selected Operation and Operator Characteristics: 2007 and 2002 - Con.

[For meaning of abbreviations and symbols, see introductory text]

Item Inyo Kern Kings Lake Lassen Los Angeles Madera

PRINCIPAL OPERATOR CHARACTERISTICS - Con.

Place of residence: On farm operated ................................................................... 2007 2002 Not on farm operated ............................................................. 2007 2002

Days worked off farm: None ....................................................................................... 2007 2002 Any ......................................................................................... 2007 2002

1 to 49 days ........................................................................ 2007 2002 50 to 99 days ...................................................................... 2007 2002 100 to 199 days .................................................................. 2007 2002 200 days or more ............................................................... 2007 2002

Years on present farm: 2 years or less ........................................................................ 2007 2002 3 or 4 years ............................................................................ 2007 2002 5 to 9 years ............................................................................ 2007 2002 10 years or more .................................................................... 2007 2002 Average years on present farm .............................................. 2007 2002

Age group: Under 25 years ....................................................................... 2007 2002 25 to 34 years ........................................................................ 2007 2002 35 to 44 years ........................................................................ 2007 2002

45 to 54 years ........................................................................ 2007 2002 55 to 59 years ........................................................................ 2007 2002 60 to 64 years ........................................................................ 2007 2002

65 to 69 years ........................................................................ 2007 2002 70 years and over .................................................................. 2007 2002 Averag e age ........................................................................... 2007 2002

INTERNET ACCESS

Farms with- Internet access ....................................................................... 2007 2002 High-speed internet access ................................................ 2007 2002

FARM TYPOLOGY (SEE TEXT)

Small family farms: Limited-resource ......................................................... farms, 2007 acres, 2007 Retirement ................................................................... farms, 2007 acres, 2007 Residential/lifestyle ..................................................... farms, 2007 acres, 2007 Farming occupation/lower sales .................................. farms, 2007 acres, 2007 Farming occupation/higher sales ................................ farms, 2007 acres, 2007

Large family farms ........................................................... farms, 2007 acres, 2007 Very large family farms .................................................... farms, 2007 acres, 2007 Nonfamily farms .............................................................. farms, 2007 acres, 2007

TYPE OF ORGANIZATION

Family or individual ......................................................... farms, 2007 2002 acres, 2007 2002

Partnership ...................................................................... farms, 2007 2002 acres, 2007 2002 56 60 38 25

29 45 65 40

10 11 6 2 7 2 42 25

8

- 5 19 20 18 61 48 20.3 17.3

2

-

- 1 6 5

21 35 21 13 15 12

11 11 18 8 59.4 56.9

60 (NA )

39 (NA)

15 1,224

20 (D) 23 2,269

12 15,813 3 (D)

9 79,813 5 (D)

7 32,440

66 66 (D) 67,463

18 8 108,465 134,760 1,179 1,229

938 918

727 1,19 2 1,390

955

225 109 87 77 175 127 903 642

113 85 168 161 407 404 1,429 1,497 18.7 18.5

7 17 45 81 239 284

600 619 278 307 321 315

267 187 360 337 57.7 56.0

1,400 (NA) 990 (NA)

177 31,724

308 128,215 525 95,005

234 123,192 80 162,488

136 165,586 390 1,023,621 267 631,934

1,412 1,460 924,498 1,156,122

431 475 886,379 1,112,670 827 868 302 286

388 633 741 521

171 51 60 51 78 51 432 368

63 41 79 87 217 200 770 826 20.3 19.6

4 2 61 55 160 192

293 356 162 154 152 128

113 100 184 167 56.3 54.8

786 (NA ) 479 (NA)

68 4,794

164 8,499

292 8,784

123 53,165 58 10,896

55 25,373

266 310,568 103 258,583

845 871 (D) 230,817

198 213 249,633 262,638 674 685 171 195

254 432 591 448

141 77 60 45 101 63 289 263

20 42 75 60 180 178 570 600 18.9 18.7

2 3 6 18 60 117

202 213 149 112 150 84

75 101 201 232 60.4 59.2

520 (NA ) 279 (NA)

127 5,151

242 20,088

274 39,953

105 16,468 13 4,987

11 1,298

23 13,822 50 22,432

740 789 90,738 (D)

66 60 22,687 (D) 403 373 56 46

148 204 311 215

47 44 22 19 55 30 187 122

33 17 54 37 114 109 258 256 15.7 18.5

9 2 15 9 75 78

94 128 78 53 73 56

48 34 67 59 55.8 54.9

324 (NA ) 242 (NA)

91 10,086 86 20,486

151 90,016 59 30,833 18 30,141

14 52,151 10 165,573 30 59,840

393 367 273,203 267,331

32 32 117,457 144,559 1,305 1,077

429 466

501 785 1,233

758

216 110 75 33 145 116 797 499

94 56 149 131 388 268 1,10 3 1,088 16.8 17.0

3 4 32 17 181 288

528 434 300 198 182 181

215 157 293 264 57.7 56.2

1,160 (NA) 866 (NA)

235 5,535

326 10,030

697 28,862

231 21,448 12 (D)

38 (D) 58 18,805

137 19,037

1,382 1,289 62,063 71,640

149 113 19,010 19,479 1,036 1,137

672 643

612 884 1,096

896

202 121 118 83 137 116 639 576

91 57 136 150 252 335 1,229 1,238 20.7 19.6

14 10 56 51 157 245

401 502 316 259 236 197

165 160 363 356 58.6 57.1

1,09 1 (NA) 702 (NA)

123 14,127

315 31,058

430 59,979

165 26,902 87 35,882

96 52,331

226 357,409 266 102,041

1,264 1,386 429,337 434,577

273 280 141,740 152,898

--continued

# 552 CALIFORNIA 2007 CENSUS OF AGRICULTURE - COUNTY DATA

USDA, National Agricultural Statistics Service 

# Table 46. 

# Selected Operation and Operator Characteristics: 2007 and 2002 - Con.

[For meaning of abbreviations and symbols, see introductory text]

Item Marin Mariposa Mendocino Merced Modoc Mono Monterey

PRINCIPAL OPERATOR CHARACTERISTICS - Con.

Place of residence: On farm operated ...................................................................2007 2002 Not on farm operated ..............................................................2007 2002

Days worked off farm: None .......................................................................................2007 2002 Any .........................................................................................2007 2002

1 to 49 days ........................................................................2007 2002 50 to 99 days ......................................................................2007 2002 100 to 199 days ..................................................................2007 2002 200 days or more ................................................................2007 2002

Years on present farm: 2 years or less ........................................................................2007 2002 3 or 4 years .............................................................................2007 2002 5 to 9 years .............................................................................2007 2002 10 years or more ....................................................................2007 2002 Average years on present farm ..............................................2007 2002

Age group: Under 25 years .......................................................................2007 2002 25 to 34 years .........................................................................2007 2002 35 to 44 years .........................................................................2007 2002

45 to 54 years .........................................................................2007 2002 55 to 59 years .........................................................................2007 2002 60 to 64 years .........................................................................2007 2002

65 to 69 years .........................................................................2007 2002 70 years and over ...................................................................2007 2002 Averag e age ...........................................................................2007 2002

INTERNET ACCESS

Farms with- Internet access .......................................................................2007 2002 High-speed internet access ................................................2007 2002

FARM TYPOLOGY (SEE TEXT)

Small family farms: Limited-resource ..........................................................farms, 2007 acres, 2007 Retirement ...................................................................farms, 2007 acres, 2007 Residential/lifestyle ......................................................farms, 2007 acres, 2007 Farming occupation/lower sales ..................................farms, 2007 acres, 2007 Farming occupation/higher sales .................................farms, 2007 acres, 2007

Large family farms ...........................................................farms, 2007 acres, 2007 Very large family farms ....................................................farms, 2007 acres, 2007 Nonfamily farms ...............................................................farms, 2007 acres, 2007

TYPE OF ORGANIZATION

Family or individual ..........................................................farms, 2007 2002 acres, 2007 2002

Partnership ......................................................................farms, 2007 2002 acres, 2007 2002 190 204 65 50

90 146 165 108

24 18 15 7 31 15 95 68

7 10 23 6 43 29 182 209 23.5 23.1

- 1 7 3 21 18

72 93 40 28 26 35

33 19 56 57 59.7 58.4

175 (NA )

92 (NA)

24 6,579

43 13,490 67 18,538 47 15,630 13 16,066

7 12,486 25 35,552 29 14,934

190 182 (D) (D)

34 46 (D) 55,519 272 246 30 38

94 141 208 143

40 13 15 18 38 17 115 95

8 10 40 22 58 50 196 202 17.5 20.4

-

- 7 6 33 34

58 69 53 40 57 32

28 35 66 68 59.3 59.6

225 (NA ) 138 (NA)

38 (D) 89 50,429

103 17,087 43 19,780 7 20,565

2 (D)

4 67,181 16 25,570

266 261 192,613 191,938

26 17 (D) (D) 918 955 218 229

369 557 767 627

127 113 101 56 146 91 393 367

42 47 78 94 222 219 794 824 19.5 17.6

3 2 15 23 68 134

267 388 196 186 203 133

138 102 246 216 60.6 57.4

809 (NA ) 411 (NA)

176 14,857

272 72,292

336 131,873 159 129,078 43 47,380

33 20,916 32 20,058 85 172,220

937 1,010 344,908 472,196

114 93 126,670 132,948 1,857 2,102

750 862

951 1,499 1,656 1,465

287 172 159 93 260 218 950 982

112 120 195 229 433 519 1,86 7 2,096 20.3 19.2

3 9 129 138 373 510

651 914 386 360 354 345

303 236 408 452 56.4 54.9

1,608 (NA) 985 (NA)

162 22,403

385 18,146

701 39,176

314 50,063

156 47,017

122 104,257 465 532,171 302 227,882

1,991 2,347 605,106 556,430

392 434 242,267 287,551 381 360 67 68

167 214 281 214

56 28 30 12 35 40 160 134

38 15 27 26 60 87 323 300 21.2 19.9

3

- 31 8 34 59

116 130 60 60 78 47

36 53 90 71 57.4 57.0

314 (NA ) 219 (NA)

68 33,268 76 33,376

104 40,875 80 49,697 40 76,640

26 62,352 28 124,675 26 176,857

380 380 312,948 360,608

38 28 146,298 78,366 67 42 17 21

31 25 53 38

4 1 13

- 14 6 22 31

4 6 1 6 21 11 58 40 19.2 15.3

-

-

-

- 9 12

30 26 14 4 6 11

6 5 19 5 58.0 54.2

56 (NA )

20 (NA)

10 725 23 4,268

27 7,571 4 640

7 3,788

5 5,454 2 (D)

6 (D)

64 45 12,926

(D)

11 10 10,728 16,653 697 669 502 547

372 716 827 500

121 66 87 35 112 58 507 341

68 37 100 101 256 257 775 821 17.8 17.6

5 15 38 41 172 244

382 354 167 141 140 132

109 113 186 176 56.0 54.5

781 (NA ) 434 (NA)

86 42,520

165 59,518

287 121,534 192 149,216 38 161,852

44 100,572 190 323,384 197 369,376

776 798 609,680 663,776

216 220 446,089 316,389

--continued

# 2007 CENSUS OF AGRICULTURE - COUNTY DATA CALIFORNIA 553

USDA, National Agricultural Statistics Service 

# Table 46. 

# Selected Operation and Operator Characteristics: 2007 and 2002 - Con.

[For meaning of abbreviations and symbols, see introductory text]

Item Napa Nevada Orange Placer Plumas Riverside Sacramento

PRINCIPAL OPERATOR CHARACTERISTICS - Con.

Place of residence: On farm operated ................................................................... 2007 2002 Not on farm operated ............................................................. 2007 2002

Days worked off farm: None ....................................................................................... 2007 2002 Any ......................................................................................... 2007 2002

1 to 49 days ........................................................................ 2007 2002 50 to 99 days ...................................................................... 2007 2002 100 to 199 days .................................................................. 2007 2002 200 days or more ............................................................... 2007 2002

Years on present farm: 2 years or less ........................................................................ 2007 2002 3 or 4 years ............................................................................ 2007 2002 5 to 9 years ............................................................................ 2007 2002 10 years or more .................................................................... 2007 2002 Average years on present farm .............................................. 2007 2002

Age group: Under 25 years ....................................................................... 2007 2002 25 to 34 years ........................................................................ 2007 2002 35 to 44 years ........................................................................ 2007 2002

45 to 54 years ........................................................................ 2007 2002 55 to 59 years ........................................................................ 2007 2002 60 to 64 years ........................................................................ 2007 2002

65 to 69 years ........................................................................ 2007 2002 70 years and over .................................................................. 2007 2002 Averag e age ........................................................................... 2007 2002

INTERNET ACCESS

Farms with- Internet access ....................................................................... 2007 2002 High-speed internet access ................................................ 2007 2002

FARM TYPOLOGY (SEE TEXT)

Small family farms: Limited-resource ......................................................... farms, 2007 acres, 2007 Retirement ................................................................... farms, 2007 acres, 2007 Residential/lifestyle ..................................................... farms, 2007 acres, 2007 Farming occupation/lower sales .................................. farms, 2007 acres, 2007 Farming occupation/higher sales ................................ farms, 2007 acres, 2007

Large family farms ........................................................... farms, 2007 acres, 2007 Very large family farms .................................................... farms, 2007 acres, 2007 Nonfamily farms .............................................................. farms, 2007 acres, 2007

TYPE OF ORGANIZATION

Family or individual ......................................................... farms, 2007 2002 acres, 2007 2002

Partnership ...................................................................... farms, 2007 2002 acres, 2007 2002 1,11 5 962 523 494

410 718 1,228

738

368 106 130 51 186 108 544 473

61 78 117 185 429 349 1,031

844 16.4 15.2

- 1 35 29 127 160

379 416 273 227 256 183

209 165 359 275 59.9 58.2

1,173 (NA) 897 (NA)

83 5,970

359 26,153

505 22,051

142 14,169 57 27,395

85 34,354 81 33,157

326 59,997

1,089 1,038 133,425 139,052

256 217 29,056 46,774 627 555 63 44

190 279 500 320

87 36 64 25 80 38 269 221

44 31 92 52 178 125 376 391 14.5 16.6

-

- 10 9 86 79

209 182 118 93 124 92

65 55 78 89 56.6 56.9

543 (NA ) 260 (NA)

116 17,883

167 17,937

253 11,055

124 14,454 7 6,363

5 (D)

1 (D) 17 2,168

628 560 54,526 73,197

36 31 12,908 9,058 169 141 156 207

123 223 202 125

27 16 20 9 21 22 134 78

7 17 38 34 61 36 219 261 20.3 20.7

2 5 3 8 22 45

97 104 51 43 44 42

27 21 79 80 60.2 57.7

229 (NA ) 201 (NA)

37 1,598

76 (D) 86 1,377

30 317

8 62

19 243 28 4,556

41 (D)

231 242 (D) 7,858

34 29 25,875 22,252 1,331 1,311

157 127

494 723 994 715

160 73 88 51 189 125 557 466

58 45 95 136 355 346 980 911 18.8 17.2

6 13 38 50 143 195

407 404 216 215 218 162

166 108 294 291 58.4 56.8

1,11 6 (NA) 670 (NA)

221 5,050

421 17,615

510 26,131

236 15,327 14 3,381

20 7,434

13 47,686 53 9,597

1,323 1,366 101,772 111,279

95 51 17,183 18,262 127 120 15 22

55 51 87 91

13 9 1 6 14 19 59 57

5 12 7 15 53 38 77 77 17.7 15.3

-

- 3 6 7 23

45 42 12 15 29 20

19 16 27 20 59.7 56.2

102 (NA )

61 (NA)

26 1,123

31 (D) 52 15,713 16 18,327 4 14,584

1 (D)

2 (D) 10 11,026

114 114 (D) (D)

15 14 74,721 84,295 2,563 2,223

900 963

1,187 1,643 2,276 1,543

420 188 273 139 310 220 1,273

996

167 127 366 193 853 609 2,07 7 2,257 15.9 16.9

9 13 109 42 359 409

868 884 477 481 532 367

375 352 734 638 58.6 58.0

2,288 (NA) 1,760 (NA)

445 13,601

837 21,558 1,061 30,854

506 44,213 41 1,974

51 12,432

160 138,944 362 91,177

2,800 2,646 143,269 298,571

327 281 70,548 124,278 1,093 1,234

300 279

446 743 947 770

162 72 70 25 121 119 594 554

73 68 130 135 267 276 923 1,034 18.1 17.4

8 16 26 38 167 225

395 458 171 248 235 203

147 112 244 213 57.6 55.4

1,02 0 (NA) 774 (NA)

185 8,188

301 25,917

445 18,865

169 25,172 37 28,374

36 20,734

100 101,441 120 99,902

1,154 1,279 175,875 180,745

112 121 94,852 83,271

--continued

# 554 CALIFORNIA 2007 CENSUS OF AGRICULTURE - COUNTY DATA

USDA, National Agricultural Statistics Service 

# Table 46. 

# Selected Operation and Operator Characteristics: 2007 and 2002 - Con.

[For meaning of abbreviations and symbols, see introductory text]

Item San Benito San Bernardino San Diego San Francisco San Joaquin San Luis Obispo San Mateo Santa Barbara

PRINCIPAL OPERATOR CHARACTERISTICS - Con.

Place of residence: On farm operated ...................................................................2007 2002 Not on farm operated ..............................................................2007 2002

Days worked off farm: None .......................................................................................2007 2002 Any .........................................................................................2007 2002

1 to 49 days ........................................................................2007 2002 50 to 99 days ......................................................................2007 2002 100 to 199 days ..................................................................2007 2002 200 days or more ................................................................2007 2002

Years on present farm: 2 years or less ........................................................................2007 2002 3 or 4 years .............................................................................2007 2002 5 to 9 years .............................................................................2007 2002 10 years or more ....................................................................2007 2002 Average years on present farm ..............................................2007 2002

Age group: Under 25 years .......................................................................2007 2002 25 to 34 years .........................................................................2007 2002 35 to 44 years .........................................................................2007 2002

45 to 54 years .........................................................................2007 2002 55 to 59 years .........................................................................2007 2002 60 to 64 years .........................................................................2007 2002

65 to 69 years .........................................................................2007 2002 70 years and over ...................................................................2007 2002 Averag e age ...........................................................................2007 2002

INTERNET ACCESS

Farms with- Internet access .......................................................................2007 2002 High-speed internet access ................................................2007 2002

FARM TYPOLOGY (SEE TEXT)

Small family farms: Limited-resource ..........................................................farms, 2007 acres, 2007 Retirement ...................................................................farms, 2007 acres, 2007 Residential/lifestyle ......................................................farms, 2007 acres, 2007 Farming occupation/lower sales ..................................farms, 2007 acres, 2007 Farming occupation/higher sales .................................farms, 2007 acres, 2007

Large family farms ...........................................................farms, 2007 acres, 2007 Very large family farms ....................................................farms, 2007 acres, 2007 Nonfamily farms ...............................................................farms, 2007 acres, 2007

TYPE OF ORGANIZATION

Family or individual ..........................................................farms, 2007 2002 acres, 2007 2002

Partnership ......................................................................farms, 2007 2002 acres, 2007 2002 498 486 127 191

187 293 438 384

83 50 35 30 73 34 247 270

25 33 35 48 96 135 469 461 18.6 18.0

3

- 24 24 46 84

158 209 103 106 103 89

75 58 113 107 58.3 56.5

397 (NA ) 233 (NA)

68 43,188

121 34,177

192 (D) 105 50,068 28 (D)

12 35,010 31 113,156 68 183,048

510 562 (D) 312,330

56 66 130,038 123,773 1,071 998 334 388

471 711 934 675

157 92 62 51 125 75 590 457

59 77 163 53 272 242 911 1,01 4 17.6 18.6

5 16 34 34 129 165

360 350 219 223 217 171

128 159 313 268 58.9 57.3

895 (NA) 620 (NA)

179 (D) 281 10,599

461 (D) 180 5,969

43 (D)

26 2,127

118 17,824

117 14,541

1,158 1,165

(D) (D)

142 128 (D) (D) 5,285 4,055 1,402 1,200

1,780 2,789 4,907 2,46 6

1,324

360 526 191 630 391 2,427 1,524

334 193 659 342 1,636 1,004 4,058 3,716 15.8 16.7

13 14 119 95 531 545

1,678 1,404 1,087

667 938 637

787 532 1,534 1,361 60.0 59.5

4,521 (NA) 3,129 (NA)

751 16,559 1,713 32,967 2,535 57,855

684 51,959

133 12,983

104 11,102

173 26,967

594 93,497

5,686 4,596 156,705 217,258

440 291 56,450 48,980 - 4 6 4

3 6 3 2

- 1

-

-

-

- 3 1

-

- 3

-

- 2 3 6 14.8 16.0

-

-

-

- 1 1

3 3 2 4

-

-

-

-

-

- 48.0 52.1

3 (NA )

1 (NA)

-

-

-

- 2 (D)

2 (D)

-

-

-

- 1 (D)

1 (D)

5 7 (D) (D)

-

-

-

- 2,665 2,989

959 1,037

1,306 2,108 2,318 1,918

418 248 219 124 420 216 1,261 1,330

137 151 219 257 589 694 2,67 9 2,924 22.0 20.4

17 21 101 120 371 651

921 1,070

510 490 514 484

433 378 757 812 58.8 56.8

2,331 (NA) 1,570 (NA)

299 10,854

752 39,732

996 39,827

379 25,745

187 21,496

227 63,159

399 370,950 385 165,740

2,765 3,216 350,124 306,160

519 508 180,678 317,059 2,170 1,754

614 568

850 1,087 1,934 1,235

413 163 189 74 332 174 1,000

824

133 104 218 255 659 520 1,77 4 1,443 17.1 16.8

3 10 70 62 238 335

687 734 454 329 456 219

307 222 569 411 59.2 56.4

2,004 (NA) 1,233 (NA)

353 (D) 615 92,800

877 124,977 442 162,636 89 (D)

83 267,260 82 305,468 243 269,203

2,214 1,943 700,284 687,128

286 195 411,437 419,951 216 181 113 125

114 168 215 138

19 8 19 9 32 24 145 97

7 12 15 24 62 39 245 231 20.9 21.3

- 10 3 10 45 35

79 84 55 53 58 44

41 19 48 51 57.9 55.8

238 (NA ) 154 (NA)

26 4,541

49 4,565

109 24,326 70 6,332 5 (D)

14 3,609

22 (D) 34 6,180

247 225 37,899 26,796

29 28 14,884 4,062 1,110 971 487 473

543 812 1,054

632

234 113 91 68 143 89 586 362

73 45 146 136 333 263 1,045 1,000 17.3 17.6

8

- 44 32 169 195

383 404 206 184 259 171

178 149 350 309 59.0 58.1

1,10 0 (NA) 837 (NA)

140 19,368

368 92,457

407 28,856

206 86,528 50 58,536

52 92,413

133 167,121 241 181,771

1,131 1,026 344,776 449,264

184 147 218,405 103,793

--continued

# 2007 CENSUS OF AGRICULTURE - COUNTY DATA CALIFORNIA 555

USDA, National Agricultural Statistics Service 

# Table 46. 

# Selected Operation and Operator Characteristics: 2007 and 2002 - Con.

[For meaning of abbreviations and symbols, see introductory text]

Item Santa Clara Santa Cruz Shasta Sierra Siskiyou Solano Sonoma Stanislaus

PRINCIPAL OPERATOR CHARACTERISTICS - Con.

Place of residence: On farm operated ...................................................................2007 2002 Not on farm operated .............................................................2007 2002

Days worked off farm: None .......................................................................................2007 2002 Any .........................................................................................2007 2002

1 to 49 days ........................................................................2007 2002 50 to 99 days ......................................................................2007 2002 100 to 199 days ..................................................................2007 2002 200 days or more ...............................................................2007 2002

Years on present farm: 2 years or less ........................................................................2007 2002 3 or 4 years ............................................................................2007 2002 5 to 9 years ............................................................................2007 2002 10 years or more ....................................................................2007 2002 Average years on present farm ..............................................2007 2002

Age group: Under 25 years .......................................................................2007 2002 25 to 34 years ........................................................................2007 2002 35 to 44 years ........................................................................2007 2002

45 to 54 years ........................................................................2007 2002 55 to 59 years ........................................................................2007 2002 60 to 64 years ........................................................................2007 2002

65 to 69 years ........................................................................2007 2002 70 years and over ..................................................................2007 2002 Averag e age ...........................................................................2007 2002

INTERNET ACCESS

Farms with- Internet access .......................................................................2007 2002 High-speed internet access ................................................2007 2002

FARM TYPOLOGY (SEE TEXT)

Small family farms: Limited-resource ......................................................... farms, 2007 acres, 2007 Retirement ................................................................... farms, 2007 acres, 2007 Residential/lifestyle ..................................................... farms, 2007 acres, 2007 Farming occupation/lower sales .................................. farms, 2007 acres, 2007 Farming occupation/higher sales ................................ farms, 2007 acres, 2007

Large family farms ........................................................... farms, 2007 acres, 2007 Very large family farms .................................................... farms, 2007 acres, 2007 Nonfamily farms .............................................................. farms, 2007 acres, 2007

TYPE OF ORGANIZATION

Family or individual ......................................................... farms, 2007 2002 acres, 2007 2002

Partnership ...................................................................... farms, 2007 2002 acres, 2007 2002 803 769 265 257

322 520 746 506

142 56 81 47 87 69 436 334

46 21 116 96 204 193 702 716 18.7 18.6

-

- 25 13 92 139

278 299 190 159 139 152

131 69 213 195 59.3 57.4

736 (NA ) 529 (NA)

124 6,200

267 41,663

369 38,816

132 20,350 27 70,379

20 26,790 28 37,122

101 58,546

838 866 178,232 157,687

116 70 62,753 87,101 437 503 245 251

252 445 430 309

73 44 56 20 36 46 265 199

29 30 49 58 140 152 464 514 19.2 17.7

-

- 22 23 71 129

198 249 100 104 87 83

84 61 120 105 57.8 55.0

485 (NA ) 368 (NA)

86 2,294

125 7,253

137 4,868

115 4,678

19 553

37 1,196

79 12,421 84 14,226

496 550 17,985

(D)

92 91 18,328

(D) 1,332 993 141 133

474 485 999 641

183 56 105 64 161 93 550 428

67 37 146 119 401 271 859 699 16.0 17.7

- 5 53 39 189 166

380 306 236 149 188 144

180 115 247 202 57.2 56.8

1,05 1 (NA) 711 (NA)

268 30,598

408 69,625

487 53,098

230 46,966 15 34,423

14 47,643 9 34,453 42 74,006

1,360 1,052

(D) 272,745

64 55 29,100 32,578 38 44 12 8

20 16 30 36

6 6

-

- 7 12 17 18

-

- 7 9 9 6 34 37 19.3 15.4

-

-

-

-

- 9

12 17 11 12 12 5

5 2 10 7 61.5 55.5

30 (NA )

4 (NA)

6 1,215

22 2,976 6 4,464

10 4,101 4 (D)

2 (D)

-

-

-

-

48 49 (D) 48,622

- 1

- (D) 695 681 151 115

307 425 539 371

112 60 51 18 108 43 268 250

27 27 69 81 137 146 613 542 19.8 19.4

- 2 30 26 82 113

193 245 145 108 137 81

99 71 160 150 58.5 56.4

603 (NA ) 327 (NA)

117 23,502

219 59,914

224 35,723

127 96,590 46 65,487

31 116,122 24 97,856 58 102,340

702 681 260,798 332,828

80 73 220,358 195,118 652 675 238 240

317 458 573 457

84 38 41 30 94 89 354 300

17 32 91 88 198 176 584 619 18.3 17.5

6 2 17 42 84 96

217 303 139 126 140 125

153 75 134 146 58.5 56.2

600 (NA ) 375 (NA)

84 7,144

239 20,735

261 16,474

123 23,947 25 5,979

28 32,288 61 181,761 69 69,897

728 764 190,347 196,828

95 103 97,648 80,347 2,569 2,641

860 806

1,048 1,754 2,381 1,693

560 253 232 99 362 271 1,227 1,070

172 181 259 398 740 667 2,258 2,201 18.0 17.3

12 20 103 87 267 437

810 986 481 541 610 479

410 291 736 606 59.4 57.0

2,44 2 (NA) 1,784 (NA)

292 35,471

832 58,506 1,093 73,551

431 61,079

110 30,646

113 56,883

158 108,862 400 105,897

2,690 2,849 303,625 313,127

398 332 103,980 79,664 3,308 3,418

806 849

1,449 2,083 2,665 2,184

444 244 261 136 388 282 1,572 1,522

158 154 273 330 709 709 2,974 3,074 20.4 19.8

14 4 164 135 490 725

1,084 1,232

609 566 554 510

470 362 729 733 57.3 56.0

2,64 0 (NA) 1,671 (NA)

381 11,778

848 50,277 1,239 49,344

506 55,100

199 46,130

196 106,645 431 364,728 314 104,952

3,394 3,596 522,070 516,208

440 403 128,677 146,314

--continued

# 556 CALIFORNIA 2007 CENSUS OF AGRICULTURE - COUNTY DATA

USDA, National Agricultural Statistics Service 

# Table 46. 

# Selected Operation and Operator Characteristics: 2007 and 2002 - Con.

[For meaning of abbreviations and symbols, see introductory text]

Item Sutter Tehama Trinity Tulare Tuolumne Ventura Yolo Yuba

PRINCIPAL OPERATOR CHARACTERISTICS - Con.

Place of residence: On farm operated ...................................................................2007 2002 Not on farm operated ..............................................................2007 2002

Days worked off farm: None .......................................................................................2007 2002 Any .........................................................................................2007 2002

1 to 49 days ........................................................................2007 2002 50 to 99 days ......................................................................2007 2002 100 to 199 days ..................................................................2007 2002 200 days or more ................................................................2007 2002

Years on present farm: 2 years or less ........................................................................2007 2002 3 or 4 years .............................................................................2007 2002 5 to 9 years .............................................................................2007 2002 10 years or more ....................................................................2007 2002 Average years on present farm ..............................................2007 2002

Age group: Under 25 years .......................................................................2007 2002 25 to 34 years .........................................................................2007 2002 35 to 44 years .........................................................................2007 2002

45 to 54 years .........................................................................2007 2002 55 to 59 years .........................................................................2007 2002 60 to 64 years .........................................................................2007 2002

65 to 69 years .........................................................................2007 2002 70 years and over ...................................................................2007 2002 Averag e age ...........................................................................2007 2002

INTERNET ACCESS

Farms with- Internet access .......................................................................2007 2002 High-speed internet access ................................................2007 2002

FARM TYPOLOGY (SEE TEXT)

Small family farms: Limited-resource ..........................................................farms, 2007 acres, 2007 Retirement ...................................................................farms, 2007 acres, 2007 Residential/lifestyle ......................................................farms, 2007 acres, 2007 Farming occupation/lower sales ..................................farms, 2007 acres, 2007 Farming occupation/higher sales .................................farms, 2007 acres, 2007

Large family farms ...........................................................farms, 2007 acres, 2007 Very large family farms ....................................................farms, 2007 acres, 2007 Nonfamily farms ...............................................................farms, 2007 acres, 2007

TYPE OF ORGANIZATION

Family or individual ..........................................................farms, 2007 2002 acres, 2007 2002

Partnership ......................................................................farms, 2007 2002 acres, 2007 2002 768 920 495 471

458 667 805 724

158 99 93 66 150 84 404 475

73 36 82 113 176 220 932 1,02 2 21.3 19.5

8 14 54 47 139 230

320 415 185 210 177 151

147 98 233 226 57.5 55.2

806 (NA) 478 (NA)

78 6,496

216 18,890

359 26,731

166 13,180

100 47,483

93 51,659

117 138,231 134 57,132

904 1,024 151,406 166,275

221 241 133,127 158,492 1,487 1,303

265 270

592 773 1,16 0

800

194 104 111 41 165 105 690 550

114 58 186 121 414 317 1,038 1,077 17.0 17.9

3 11 66 36 194 222

421 431 311 201 225 184

192 171 340 317 57.8 57.6

1,189 (NA) 645 (NA)

269 44,704

422 60,520

584 75,751

248 71,843 55 45,588

43 121,412 42 76,629 89 35,759

1,568 1,440 371,813 587,075

98 67 78,081 94,861 147 105 34 30

47 70 134 65

31 18 14 1 27 13 62 33

6 1 6 18 41 26 128 90 18.0 17.2

-

-

-

- 22 21

43 39 24 18 27 21

37 15 28 21 58.9 56.9

116 (NA )

31 (NA)

40 5,700

57 7,413

64 13,418 13 42,456 1 (D)

2 (D)

-

- 4 (D)

148 115 (D) (D)

18 11 23,549 62,351 3,428 3,750 1,812 1,988

1,640 2,771 3,600 2,967

602 343 379 174 487 346 2,13 2 2,104

261 258 479 346 840 980 3,660 4,154 19.2 19.6

23 28 157 138 723 891

1,290 1,523

692 702 708 717

575 501 1,072 1,238 58.1 57.5

2,943 (NA) 1,911 (NA)

444 27,888

916 43,303 1,526 63,234

584 62,928

231 103,730

309 94,083

619 525,767 611 247,751

3,976 4,338 522,500 644,333

865 955 369,273 404,931 310 281 56 77

86 175 280 183

44 19 27 9 74 51 135 104

18 9 38 34 98 59 212 256 16.5 17.5

4 2 15 11 27 42

119 107 55 66 58 35

31 20 57 75 56.8 56.6

262 (NA ) 133 (NA)

50 (D) 103 18,007

128 27,983 55 13,485 8 25,732

4 10,043 2 (D) 16 12,203

329 335 96,923 103,782

24 13 10,879 40,092 1,633 1,455

804 863

715 1,125 1,722 1,193

460 159 172 100 259 172 831 762

84 111 217 195 505 411 1,63 1 1,601 17.9 17.5

11 6 43 46 172 286

601 654 393 337 375 308

306 203 536 478 59.8 58.0

1,624 (NA) 1,272 (NA)

224 10,804

529 22,718

699 26,602

274 45,586 64 24,922

97 10,670

124 37,412

426 80,341

1,759 1,732 130,562 218,444

335 311 55,729 45,965 659 685 324 375

303 543 680 517

108 69 44 29 100 65 428 354

80 56 78 104 183 197 642 703 19.0 17.5

11 5 34 38 69 153

299 308 152 169 130 94

84 89 204 204 58.0 56.4

653 (NA ) 470 (NA)

77 6,405

199 21,493

281 51,007

131 27,589 52 27,063

48 23,221

101 242,922 94 80,158

726 795 231,762 268,798

155 142 127,649 156,700 629 626 199 237

292 409 536 454

83 40 19 21 91 51 343 342

47 29 87 96 186 199 508 539 17.5 17.3

- 2 34 31 112 121

237 273 110 102 119 107

72 78 144 149 56.6 56.4

609 (NA ) 322 (NA)

81 2,713

180 22,934

277 19,641

119 28,024 38 12,080

48 19,708 37 33,387 48 22,411

670 697 (D) 145,907

109 123 (D) 62,598

--continued

# 2007 CENSUS OF AGRICULTURE - COUNTY DATA CALIFORNIA 557

USDA, National Agricultural Statistics Service 

# Table 46. 

# Selected Operation and Operator Characteristics: 2007 and 2002 - Con.

[For meaning of abbreviations and symbols, see introductory text]

Item California Alameda Alpine Amador Butte Calaveras Colusa

TYPE OF ORGANIZATION - Con.

Corporation: Family-held .................................................................. farms, 2007 2002 acres, 2007 2002 Other than family held ................................................. farms, 2007 2002 acres, 2007 2002

Other - cooperative, estate or trust, institutional, etc. ............................................................ farms, 2007 2002 acres, 2007 2002 4,603 4,269 3,340,414 3,605,651 1,147

801 1,168,852

819,981

1,730 1,166 940,954 841,462 34 12 20,468 (D) 10 2 356 (D)

10 5 738 1,275 -

-

-

- 1

- (D)

-

-

-

-

- 22 5 (D) 1,291 4 2 (D) (D)

9 5 5,025

(D) 114 110 43,026 56,817 21 21 30,652 17,534

48 34 8,038 9,24 0 23 9 5,646 4,543 7

- 108

-

8 10 1,439 6,505 37 49 36,094 42,472 22 16 9,233 4,834

12 17 11,362 26,007

Item Contra Costa Del Norte El Dorado Fresno Glenn Humboldt Imperial

TYPE OF ORGANIZATION - Con.

Corporation: Family-held .................................................................. farms, 2007 2002 acres, 2007 2002 Other than family held ................................................. farms, 2007 2002 acres, 2007 2002

Other - cooperative, estate or trust, institutional, etc. ............................................................ farms, 2007 2002 acres, 2007 2002 30 22 8,896 9,763

14 6 (D) (D)

15 9 (D) (D) 7 8 1,765 2,207 2 1 (D) (D)

- 2

- (D) 32 12 1,561

724

8 4 140 562

13 4 5,056

552 401 406 343,226 348,539 37 53 47,865 42,647

115 86 47,495 64,625 60 66 77,992 68,166 13 5 (D) 3,411

15 11 (D) 883 24 16 104, 531 28,328 8 2 6,136

(D)

21 18 11,754

(D) 64 89 111,578 107,870 22 26 18,970 16,175

18 13 15,744 19,346

Item Inyo Kern Kings Lake Lassen Los Angeles Madera

TYPE OF ORGANIZATION - Con.

Corporation: Family-held .................................................................. farms, 2007 2002 acres, 2007 2002 Other than family held ................................................. farms, 2007 2002 acres, 2007 2002

Other - cooperative, estate or trust, institutional, etc. ............................................................ farms, 2007 2002 acres, 2007 2002 6 5 26,668 20,794

- 1

- (D)

4 5 (D) (D) 162 133 372,431 323,550 49 41 119,199 117,779

63 38 59,258 21,220 54 59 47,366 148,257 18 5 (D) 3,393

14 6 5,279

493 19 15 7,541 9,307 2 6 (D) 250

18 10 (D) (D) 12 8 37,994 44,486 10 1 (D) (D)

12 11 (D) (D) 124 110 15,0 47 13,631 53 7 11,002 2,314

26 24 1,341 4,394 93 82 86,444 82,569 27 12 9,591 9,395

51 20 12,617 3,047

Item Marin Mariposa Mendocino Merced Modoc Mono Monterey

TYPE OF ORGANIZATION - Con.

Corporation: Family-held .................................................................. farms, 2007 2002 acres, 2007 2002 Other than family held ................................................. farms, 2007 2002 acres, 2007 2002

Other - cooperative, estate or trust, institutional, etc. ............................................................ farms, 2007 2002 acres, 2007 2002 20 19 13,502 7,627 3 5 200 1,409

8 2 818 (D) 5 6 1,449

(D)

3

- 21

-

2

- (D)

- 53 56 69,485 64,007 5 6 3,197 3,514

27 19 64,414 34,801 123 138 148,188 138,992 43 16 28,200 14,899

58 29 17,354 8,255 16 16 36,302 152,544 6 1 (D) (D)

8 3 (D) (D) 7 6 (D) 10,7 28

-

-

-

-

2 2 (D) (D) 135 132 139,601 132,144 45 44 111,747 124,163

27 22 20,855 24,141

Item Napa Nevada Orange Placer Plumas Riverside Sacramento

TYPE OF ORGANIZATION - Con.

Corporation: Family-held .................................................................. farms, 2007 2002 acres, 2007 2002 Other than family held ................................................. farms, 2007 2002 acres, 2007 2002

Other - cooperative, estate or trust, institutional, etc. ............................................................ farms, 2007 2002 acres, 2007 2002 171 114 38,184 34,456 53 39 14,759 12,052

69 48 7,822 5,214 14 8 1,980

81 8

- 43

-

4

- 710

- 37 59 1,598

(D) 11 6 (D) 955

12 12 709 (D) 39 19 8,173

(D) 10

- 1,625

-

21 2 3,468

(D) 6 8 21,572 11,699 1 2 (D) (D)

6 4 628 54 186 163 72,9 17 61,695 63 44 16,783 28,371

87 52 51,236 59,121 61 78 38,750 42,970 33 14 15,053 4,271

33 21 4,063 3,060

--continued

# 558 CALIFORNIA 2007 CENSUS OF AGRICULTURE - COUNTY DATA

USDA, National Agricultural Statistics Service 

# Table 46. 

# Selected Operation and Operator Characteristics: 2007 and 2002 - Con.

[For meaning of abbreviations and symbols, see introductory text]

Item San Benito San Bernardino San Diego San Francisco San Joaquin San Luis Obispo San Mateo Santa Barbara

TYPE OF ORGANIZATION - Con.

Corporation: Family-held ..................................................................farms, 2007 2002 acres, 2007 2002 Other than family held ..................................................farms, 2007 2002 acres, 2007 2002

Other - cooperative, estate or trust, institutional, etc. .............................................................farms, 2007 2002 acres, 2007 2002 36 28 22,000 (D)

9 13 (D) 5,938

14 8 20,745 (D) 60 47 11,106 10,851 15 17 648 3,269

30 29 3,745 4,862 328 244 28,364 30,497 76 51 43,750 32,857

157 73 18,620 78,411 - 1

- (D)

-

-

-

-

1

- (D)

- 252 243 161,798 155,480 27 27 34,598 23,763

61 32 10,305 10,1 67 184 124 121,986 109,040 41 18 4,497

(D)

59 42 131,400 (D) 45 46 3,267 5,396 5 3 (D) (D)

3 4 (D) (D) 206 190 107,433 113,860 29 42 16,767 34,742

47 39 39,669 55,278

Item Santa Clara Santa Cruz Shasta Sierra Siskiyou Solano Sonoma Stanislaus

TYPE OF ORGANIZATION - Con.

Corporation: Family-held ..................................................................farms, 2007 2002 acres, 2007 2002 Other than family held ..................................................farms, 2007 2002 acres, 2007 2002

Other - cooperative, estate or trust, institutional, etc. .............................................................farms, 2007 2002 acres, 2007 2002 55 57 32,877 66,837 25 19 2,482 1,069

34 14 23,522 8,157 63 83 6,465 8,763

21 22 1,010

951

10 8 3,701

(D) 25 11 22,727 25,914 7

- 5,597

-

17 8 (D) 2,591 2 2 (D) (D)

-

-

-

-

-

-

-

- 33 28 106,737 77,458 8 5 1,611 2,103

23 9 8,030 2,88 1 43 33 60,956 61,720 14 5 8,590 9,852

10 10 684 2,706 199 174 82,342 145,570 76 33 14,489 10,663

66 59 26,459 78,203 212 193 126,296 108,147 23 33 7,519 13,005

45 42 4,392 6,179

Item Sutter Tehama Trinity Tulare Tuolumne Ventura Yolo Yuba

TYPE OF ORGANIZATION - Con.

Corporation: Family-held ..................................................................farms, 2007 2002 acres, 2007 2002 Other than family held ..................................................farms, 2007 2002 acres, 2007 2002

Other - cooperative, estate or trust, institutional, etc. .............................................................farms, 2007 2002 acres, 2007 2002 85 98 57,978 43,902 18 10 10,565 2,038

35 18 6,726 1,257 49 35 70,227 72,213 6 11 1,784

(D)

31 20 10,301

(D) 11 5 17,299

(D)

1 2 (D) (D)

3 2 2,016

(D) 232 294 178,676 224,781 49 45 12,904 46,212

118 106 85,331 73,199 2 5 (D) 5,850 5

- 8,875

-

6 5 (D) 43 189 169 48,4 68 43,475 61 38 13,729 15,025

93 68 10,567 9,462 71 90 87,970 107,334 10 13 18,847 6,950

21 20 13,630 10,625 30 31 14,146 22,244 9 6 2,623 2,692

10 6 (D) 688

# 2007 CENSUS OF AGRICULTURE - COUNTY DATA CALIFORNIA 559

USDA, National Agricultural Statistics Service 

# Table 47. 

# Women Principal Operators - Selected Farm Characteristics: 2007

[For meaning of abbreviations and symbols, see introductory text]

Farms by economic class (see text) and primary occupation Land in farms Harvested cropland Farming Other than farming Geographic area

Farms Acres Farms Acres Market value of agricultural products

sold ($1,000) Less than $2,500 $2,500 to $9,999 $10,000 or

more Less than $2,500 $2,500 to $9,999 $10,000 or

more

STATE TOTAL

California ..........................

COUNTIES

Alameda ........................... Amador ............................. Butte ................................. Calaveras ......................... Colusa .............................. Contra Costa .................... Del Norte .......................... El Dorado ......................... Fresno .............................. Glenn ...............................

Humboldt .......................... Imperial ............................ Inyo .................................. Kern ................................. Kings ................................ Lake ................................. Lassen .............................. Los Angeles ..................... Madera ............................. Marin ................................

Mariposa .......................... Mendocino ........................ Merced ............................. Modoc .............................. Mono ................................ Monterey .......................... Napa ................................ Nevada ............................. Orange ............................. Placer ...............................

Plumas ............................. Riverside .......................... Sacramento ...................... San Benito ........................ San Bernardino ................ San Diego ........................ San Joaquin ..................... San Luis Obispo ............... San Mateo ........................ Santa Barbara ..................

Santa Clara ...................... Santa Cruz ....................... Shasta .............................. Sierra ............................... Siskiyou ............................ Solano .............................. Sonoma ............................ Stanislaus ......................... Sutter ............................... Tehama ............................

Trinity ............................... Tulare ............................... Tuolumne ......................... Ventura ............................. Yolo .................................. Yuba ................................. 14,965

119 110 378 133 84 203 20 365 722 157

177 28 21 356 92 203 106 594 231 83

94 258 202 90 19 199 257 235 82 425

34 914 318 109 364 1,41 2

436 611 86 311

228 147 388

6 148 164 691 502 167 360

46 625 103 426 161 165 2,058,833

10,750 7,855 25,774 26,055 25,631 16,391

(D) 13,104 135,458 30,334

60,752 3,249 1,271 147,884 20,713 13,067 70,238 15,852 27,346 27,499

30,500 92,419 58,238 74,877 2,990 66,661 29,311 10,091 1,875 17,852

6,035 36,405 24,488 90,421 7,523 56,458 33,238 233,468

3,376 56,696

16,906 3,541 47,431 (D) 48,995 10,900 48,226 30,371 14,992 37,916

9,578 79,095 15,838 36,040 15,989 26,224 6,639

55 32 177 32 60 39 8 107 437 84

76 18 3 90 62 118 22 126 105 24

7 134 109 29 5 82 211 59 30 98

7 310 84 34 99 913 254 236 24 187

98 80 90 3 43 64 348 233 117 114

16 426 23 289 72 36 282, 548

474 435 11,158

348 11,822

303 82 537 52,060 10,762

862 1,737 3 7,394 16,869 2,218 3,749 1,020 12,096

306

38 3,126 10,206 4,364

467 3,331 3,699

249 135 1,682

47 8,29 3 5,748 4,751 1,119 8,579 13,669 4,284

332 2,661

1,183

748 1,023

404 5,160 2,547 5,555 11,773 11,381 2,187

252 18,087 98 6,316 2,850 1,969 1,246,761

9,634 1,549 20,026 1,485 13,854 4,734

774 2,357 160,498 14,237

3,682

(D) 122 40,692 45,126 2,658 2,651 18,077 49,758 9,398

984 11,241 53,631 4,388 1,016 24,635 27,016 (D) 4,671 8,197

(D) 35,458 17,212 31,738 25,794 114,419 67,361 43,963 4,069 14,462

18,526 5,176 8,180

(D) 3,639 3,276 44,366 54,035 14,083 8,156

280 86,251

602 52,876 6,346 3,510 2,926

25 30 78 20 2 48 6 109 62 20

20 3 4 88 11 36 40 140 32 19

18 65 14 19 5 37 18 59 13 108

11 284 84 24 95 203 68 143 23 48

57 31 119

- 33 36 129 91 22 56

2 58 32 54 42 32 1,27 7

7 12 27 11 9 26

- 53 30 16

22

-

- 26 1 18 14 45 9 8

8 29 6 10

- 22 12 29 2 43

3 92 27 11 46 130 39 47 5 24

23 15 40 2 17 19 38 38 8 55

5 41 11 23 12 11 2,80 3

27 19 72 22 35 10

- 31 214 44

36 7

- 83 36 23 13 48 62 22

12 48 55 19 8 60 59 26 16 59

7 126 41 24 54 215 102 115 13 63

33 35 37 2 29 25 166 95 49 74

5 152 15 101 29 30 3,849

28 27 106 52 14 95 8 117 160 36

54 6 12 84 19 76 26 248 59 17

39 47 59 26 3 41 34 74 21 135

7 206 98 29 96 315 88 162 23 68

60 36 107

- 40 46 151 138 34 88

12 123 37 79 21 62 1,73 3

17 12 35 10 2 13 1 37 73 9

26 5 2 24 6 32 11 58 18 8

7 34 13 7 2 13 29 31 9 43

4 85 28 10 46 323 42 49 7 50

28 10 68

- 10 18 73 57 14 49

20 51 3 55 30 16 2,37 7

15 10 60 18 22 11 5 18 183 32

19 7 3 51 19 18 2 55 51 9

10 35 55 9 1 26 105 16 21 37

2 121 40 11 27 226 97 95 15 58

27 20 17 2 19 20 134 83 40 38

2 200

5 114 27 14

# 560 CALIFORNIA 2007 CENSUS OF AGRICULTURE - COUNTY DATA

USDA, National Agricultural Statistics Service 

# Table 48. 

# Women Operators: 2007

[For meaning of abbreviations and symbols, see introductory text]

All farms with a woman operator 1 Farms with a woman principal operator Geographic area Farms Women operators Land in farms (acres) Farms Land in farms (acres)

STATE TOTAL

California .......................................................................

COUNTIES

Alameda ........................................................................ Alpine ............................................................................. Amador .......................................................................... Butte .............................................................................. Calaveras ...................................................................... Colusa ........................................................................... Contra Costa ................................................................. Del Norte ....................................................................... El Dorado ....................................................................... Fresno ...........................................................................

Glenn ............................................................................. Humboldt ....................................................................... Imperial .......................................................................... Inyo ................................................................................ Kern ............................................................................... Kings .............................................................................. Lake ............................................................................... Lassen ........................................................................... Los Angeles ................................................................... Madera ..........................................................................

Marin .............................................................................. Mariposa ........................................................................ Mendocino ..................................................................... Merced ........................................................................... Modoc ............................................................................ Mono .............................................................................. Monterey ........................................................................ Napa .............................................................................. Nevada .......................................................................... Orange ...........................................................................

Placer ............................................................................ Plumas ........................................................................... Riverside ........................................................................ Sacramento ................................................................... San Benito ..................................................................... San Bernardino .............................................................. San Diego ...................................................................... San Joaquin ................................................................... San Luis Obispo ............................................................ San Mateo .....................................................................

Santa Barbara ............................................................... Santa Clara .................................................................... Santa Cruz ..................................................................... Shasta ........................................................................... Sierra ............................................................................. Siskiyou ......................................................................... Solano ........................................................................... Sonoma ......................................................................... Stanislaus ...................................................................... Sutter .............................................................................

Tehama ......................................................................... Trinity ............................................................................. Tulare ............................................................................ Tuolumne ....................................................................... Ventura .......................................................................... Yolo ............................................................................... Yuba .............................................................................. 39,604

280

3 289 1,027

383 355 349 61 859 2,386

566 457 112 50 939 417 467 302 1,181

679

155 212 619 976 256 37 477 700 518 152

1,05 8

103 1,950

815 267 774 3,453 1,394 1,547

165

692 508 341 997 27 509 484 1,605 1,712

529

1,033

109 1,988

255 1,079

464 482 41,879

309

3 308 1,079

405 369 389 64 899 2,475

592 483 116 52 991 437 493 317 1,281

704

171 245 655 1,021

264 39 512 751 553 161

1,107

110 2,070

866 281 835 3,619 1,472 1,650

197

738 558 359 1,049

29 529 499 1,710 1,784

563

1,082

114 2,090

272 1,143

499 516 8,76 0,429

45,525

300 88,856 154,823 99,683 172,133 68,742 12,283 60,917 558,538

156,966 324,393 78,701 81,824 713,377 106,520 39,284 224,696 49,412 233,150

53,863 133,640 246,109 295,336 296,242 10,147 392,036 78,420 36,768 4,308

68,956 75,883 85,299 125,119 188,166 50,422 120,680 150,805 561,678 23,922

241,954 95,380 18,640 244,686 21,830 268,639 95,297 154,900 231,359 118,778

301,231 19,830 274,552 70,064 86,803 165,522 83,042 14,965

119

- 110 378 133 84 203 20 365 722

157 177 28 21 356 92 203 106 594 231

83 94 258 202 90 19 199 257 235 82

425 34 914 318 109 364 1,41 2

436 611 86

311 228 147 388

6 148 164 691 502 167

360 46 625 103 426 161 165 2,058,833

10,750

- 7,855 25,774 26,055 25,631 16,391

(D) 13,104 135,458

30,334 60,752 3,249 1,271 147,884 20,713 13,067 70,238 15,852 27,346

27,499 30,500 92,419 58,238 74,877 2,990 66,661 29,311 10,091 1,875

17,852 6,035 36,405 24,488 90,421 7,523 56,458 33,238 233,468

3,376

56,696 16,906 3,541 47,431 (D) 48,995 10,900 48,226 30,371 14,992

37,916 9,578 79,095 15,838 36,040 15,989 26,224

1 Data were collected for a maximum of three operators per farm.

# 2007 CENSUS OF AGRICULTURE - COUNTY DATA CALIFORNIA 561

USDA, National Agricultural Statistics Service 

# Table 49. 

# Women Principal Operators - Tenure: 2007

[For meaning of abbreviations and symbols, see introductory text]

Full owners Part owners Tenants

Geographic area Total farms Farms Land in farms (acres) Harvested cropland (acres) Farms Land in farms (acres) Harvested cropland (acres) Farms Land in farms (acres) Harvested cropland (acres)

STATE TOTAL

California ...................................................

COUNTIES

Alameda .................................................... Amador ...................................................... Butte .......................................................... Calaveras .................................................. Colusa ....................................................... Contra Costa ............................................. Del Norte ................................................... El Dorado .................................................. Fresno ....................................................... Glenn ........................................................

Humboldt ................................................... Imperial ..................................................... Inyo ........................................................... Kern .......................................................... Kings ......................................................... Lake .......................................................... Lassen ....................................................... Los Angeles .............................................. Madera ...................................................... Marin .........................................................

Mariposa ................................................... Mendocino ................................................. Merced ...................................................... Modoc ....................................................... Mono ......................................................... Monterey ................................................... Napa ......................................................... Nevada ...................................................... Orange ...................................................... Placer ........................................................

Plumas ...................................................... Riverside ................................................... Sacramento ............................................... San Benito ................................................. San Bernardino ......................................... San Diego ................................................. San Joaquin .............................................. San Luis Obispo ........................................ San Mateo ................................................. Santa Barbara ...........................................

Santa Clara ............................................... Santa Cruz ................................................ Shasta ....................................................... Sierra ........................................................ Siskiyou ..................................................... Solano ....................................................... Sonoma ..................................................... Stanislaus .................................................. Sutter ........................................................ Tehama .....................................................

Trinity ........................................................ Tulare ........................................................ Tuolumne .................................................. Ventura ...................................................... Yolo ........................................................... Yuba .......................................................... 14,965

119 110 378 133 84 203 20 365 722 157

177 28 21 356 92 203 106 594 231 83

94 258 202 90 19 199 257 235 82 425

34 914 318 109 364 1,41 2

436 611 86 311

228 147 388

6 148 164 691 502 167 360

46 625 103 426 161 165 12,786

96 91 318 113 59 170 14 343 603 115

137 24 7 307 77 193 92 509 202 49

68 224 166 62 15 150 234 203 74 364

31 812 270 80 337 1,311

362 510 65 269

191 107 313

6 127 140 562 426 132 322

40 546 86 378 147 137 1,109,485

5,14 3 5,712 11,404 12,151 10,924 13,629

(D) 12,678 58,544 3,951

16,357

(D) (D) 53,300 (D) 11,085

(D) 13,892 17,764

(D)

7,960 69,495 23,396 53,830 1,415 33,155 20,395 6,595 1,851 9,061

1,628 31,164 8,332 40,608 6,819 49,814 18,872 167,698

2,487 41,541

7,640 2,758 28,673 (D) (D) 6,591 33,712 12,092 7,636 27,976

(D) 39,566 (D) 14,058 10,235 13,670 146,018

437 425 4,591

291 6,396

236 (D) (D) 20,266 2,341

420 (D)

3 3,864

(D) 1,507

(D) 285 10,082

(D)

38 2,173 6,159 2,283

(D) 1,406 3,356

232 117 563

47 4,790 3,193

(D) 998 7,79 6 6,703 3,489

102 2,258

784 345 714 404 3,197

(D) 4,293 6,454 5,245

(D)

(D) 11,906

(D) 4,995 1,643

487 1,049

8 11 30 15 12 9 5 11 58 25

18 2 7 33 13 5 8 22 19 6

23 13 16 11

- 10 14 21

- 33

3 47 20 17 10 39 40 41 4 19

12 12 59

- 18 13 55 42 18 27

2 46 16 9 5 17 712,722

5,315 1,755 10,741

(D) 7,92 6 1,980

204 248 71,216 19,433

4,174

(D) (D) 93,289 15,439

(D) (D) 1,161 5,403

(D)

21,637 17,892 30,202 17,663

- 12,978 8,285

(D)

- 2,832

4,407 4,606 10,305 47,536

227 4,641 12,116 32,013

538 10,265

3,536

381 18,619

- 27,930 3,714 9,635 15,926 4,923 9,288

(D) 35,273 11,005 3,131

(D) 9,394 102,407

(D)

- 3,592

(D) 1,784

(D) (D) (D) 27,838 4,590

123

-

- 2,591 13,963

(D) (D) 159 (D) (D)

- 758 3,993

(D)

- (D) 103 (D)

- 226

- 3,367 1,351 3,326

112 265 5,67 3

283

7 240

346 233 (D)

- 1,963 1,566

838 3,860 4,056

(D)

(D) 4,260

(D) (D) (D) 295 1,130

15 8 30 5 13 24 1 11 61 17

22 2 7 16 2 5 6 63 10 28

3 21 20 17 4 39 9 11 8 28

- 55 28 12 17 62 34 60 17 23

25 28 16

- 3 11 74 34 17 11

4 33 1 39 9 11 236,626

292 388 3,629

(D) 6,781

782 (D) 178 5,69 8 6,950

40,221 (D) 1,053 1,295

(D) (D) 28 799 4,179 14,370

903 5,032 4,640 3,384 1,575 20,528

631 (D) 24 5,959

- 635 5,851 2,277

477 2,003 2,250 33,757

351 4,890

5,730

402 139

- (D) 595 4,879 2,353 2,433

652

110 4,256

(D) 18,851

(D) 3,160 34,123

(D) 10 2,975

(D) 3,642

(D)

- (D) 3,956 3,831

319 (D)

- 939 (D) (D)

- 576 (D) 10

- 195 54 (D) (D) (D) 240 (D) 18 893

- 136 1,204

(D)

9 518 1,293

512 223 163

53 170 (D)

-

- (D) 424 1,45 9 2,080

(D)

- 1,921

- (D) (D) 1,187

# 562 CALIFORNIA 2007 CENSUS OF AGRICULTURE - COUNTY DATA

USDA, National Agricultural Statistics Service 

# Table 50. 

# Spanish, Hispanic, or Latino Origin Operators: 2007

[For meaning of abbreviations and symbols, see introductory text]

All farms with a Spanish, Hispanic, or Latino operator 1 Farms with a Spanish, Hispanic, or Latino principal operator Geographic area

Farms Spanish, Hispanic, or Latino operators Land in farms (acres) Farms Land in farms (acres)

STATE TOTAL

California .......................................................................

COUNTIES

Alameda ........................................................................ Amador .......................................................................... Butte .............................................................................. Calaveras ...................................................................... Colusa ........................................................................... Contra Costa ................................................................. Del Norte ....................................................................... El Dorado ....................................................................... Fresno ........................................................................... Glenn .............................................................................

Humboldt ....................................................................... Imperial .......................................................................... Inyo ................................................................................ Kern ............................................................................... Kings .............................................................................. Lake ............................................................................... Lassen ........................................................................... Los Angeles ................................................................... Madera .......................................................................... Marin ..............................................................................

Mariposa ........................................................................ Mendocino ..................................................................... Merced ........................................................................... Modoc ............................................................................ Mono .............................................................................. Monterey ........................................................................ Napa .............................................................................. Nevada .......................................................................... Orange ........................................................................... Placer ............................................................................

Plumas ........................................................................... Riverside ........................................................................ Sacramento ................................................................... San Benito ..................................................................... San Bernardino .............................................................. San Diego ...................................................................... San Joaquin ................................................................... San Luis Obispo ............................................................ San Mateo ..................................................................... Santa Barbara ...............................................................

Santa Clara .................................................................... Santa Cruz ..................................................................... Shasta ........................................................................... Sierra ............................................................................. Siskiyou ......................................................................... Solano ........................................................................... Sonoma ......................................................................... Stanislaus ...................................................................... Sutter ............................................................................. Tehama .........................................................................

Trinity ............................................................................. Tulare ............................................................................ Tuolumne ....................................................................... Ventura .......................................................................... Yolo ............................................................................... Yuba .............................................................................. 11,294

70 59 198 65 103 74 2 85 1,187

145

26 96 3 302 165 104 43 338 230 17

34 59 408 37 4 286 182 26 65 96

20 651 131 145 230 1,09 0

340 295 29 298

156 142 151

8 34 112 298 516 131 183

2 1,150

26 451 123 73 14,199

92 69 236 76 113 97 3 96 1,554

182

26 126

3 422 204 134 45 475 287 22

40 63 522 44 4 374 213 26 86 114

20 843 165 185 285 1,335

426 337 32 384

186 189 154 12 43 142 332 649 175 253

2 1,439

26 601 154 82 2,325,047

12,5 83 9,232 11,735 32,327 35,636 6,574

(D) 5,436 158,846 27,938

36,695 49,712 (D) 330,299 23,100 29,916 26,318 29,100 63,394 5,640

16,575 52,619 89,359 35,366

960 53,757 35,333 1,694

(D) 3,510

(D) 54,403 26,505 45,524 15,223 28,852 114,983 94,935 2,024 127,281

16,141 10,707 14,635 5,339 9,802 40,491 25,986 102,182 36,201 21,868

(D) 84,866 2,409 41,112 97,063 11,522 9,118

55 49 165 48 85 61

- 66 1,065

131

21 81 1 249 140 71 36 237 176 15

26 44 339 33 4 233 98 19 45 71

14 500 112 129 180 860 273 212 20 219

126 126 116

8 20 89 205 438 104 160

- 1,06 3

14 335 77 54 1,444,764

4,573 6,965 9,405 26,767 26,985 5,566

- 5,036 118,008 11,721

18,437 27,960 (D) 273,689 13,558 3,640 22,998 15,153 37,397 (D)

16,011 4,200 56,658 30,077

960 30,269 6,327 1,514

927 2,151

771 37,984 21,433 27,485 12,967 16,715 85,847 24,565

963 96,054

13,910 8,929 7,798 5,339 3,271 26,078 10,242 83,198 12,189 19,064

- 62,097 1,585 15,659 56,964 6,456

1 Data were collected for a maximum of three operators per farm.

# 2007 CENSUS OF AGRICULTURE - COUNTY DATA CALIFORNIA 563

USDA, National Agricultural Statistics Service 

# Table 51. 

# American Indian or Alaska Native Operators: 2007

[For meaning of abbreviations and symbols, see introductory text]

All farms with an American Indian or Alaska Native operator 1 Farms with an American Indian or Alaska Native principal operator Geographic area

Farms American Indian or Alaska Native

operators Land in farms (acres) Farms Land in farms (acres)

STATE TOTAL

California ........................................................................

COUNTIES

Alameda ......................................................................... Amador ........................................................................... Butte ............................................................................... Calaveras ....................................................................... Colusa ............................................................................ Contra Costa .................................................................. Del Norte ........................................................................ El Dorado ....................................................................... Fresno ............................................................................ Glenn .............................................................................

Humboldt ........................................................................ Imperial .......................................................................... Inyo ................................................................................ Kern ............................................................................... Kings .............................................................................. Lake ............................................................................... Lassen ............................................................................ Los Angeles ................................................................... Madera ........................................................................... Marin ..............................................................................

Mendocino ...................................................................... Merced ........................................................................... Modoc ............................................................................ Mono .............................................................................. Monterey ........................................................................ Napa .............................................................................. Nevada ........................................................................... Orange ........................................................................... Placer ............................................................................. Plumas ...........................................................................

Riverside ........................................................................ Sacramento .................................................................... San Benito ...................................................................... San Bernardino .............................................................. San Diego ...................................................................... San Joaquin ................................................................... San Luis Obispo ............................................................. Santa Barbara ................................................................ Santa Clara .................................................................... Santa Cruz .....................................................................

Shasta ............................................................................ Sierra ............................................................................. Siskiyou .......................................................................... Solano ............................................................................ Sonoma .......................................................................... Stanislaus ....................................................................... Sutter ............................................................................. Tehama .......................................................................... Trinity ............................................................................. Tulare .............................................................................

Tuolumne ....................................................................... Ventura ........................................................................... Yolo ................................................................................ Yuba ............................................................................... 1,597

18 5 50 7 15 3 8 15 112

8

38 5 8 53 11 25 24 26 60 1

15 33 7 3 30 5 20 1 37 9

54 26 19 48 143 61 46 22 7 13

60 3 32 4 38 72 22 56 22 134

8 14 20 21 1,83 8

24 5 60 10 16 3 18 16 141

9

50 5 8 62 13 31 24 32 65 1

18 44 7 3 32 5 20 3 41 9

62 33 19 56 172 64 51 23 7 21

65 3 32 4 38 75 30 60 23 151

13 19 20 22 444,807

210 74 7,886 5,269 8,57 0

(D) 2,144

(D) 31,396

617

18,799 1,850

868 20,697 (D) 1,110 2,771

(D) 3,968

(D)

(D) 18,028

(D) 486 7,319

(D) 512 (D) 4,059

(D)

(D) 11,076 8,306 2,793 14,449 5,655 3,268 14,258

550 606

7,347

(D) 17,261

(D) 9,832 5,937 3,206 2,476 9,434 64,338

10,701 2,274 3,342 6,564 1,178

10 2 41 6 9 1 5 9 90 4

30 4 4 32 8 22 13 21 51

-

11 27 6 3 25 3 7 1 30 9

26 21 19 29 119 41 36 18 4 11

54 3 21 2 25 54 13 36 11 111

7 9 8 16 322, 996

(D) (D) 3,963 4,637

(D) (D) (D) (D) 21,061

121

(D) 1,690

160 13,945

172 1,080 1,531

(D) 3,447

-

(D) 4,187

210 486 (D) (D) 53 (D) 3,364

(D)

(D) (D) 8,306 1,033 11,282 5,091 1,120 3,640

(D) 113

7,138

(D) 13,295

(D) 9,608 3,683 2,684 1,106

(D) (D)

(D) 268 (D) 6,406

1 Data were collected for a maximum of three operators per farm.

# 564 CALIFORNIA 2007 CENSUS OF AGRICULTURE - COUNTY DATA

USDA, National Agricultural Statistics Service 

# Table 52. 

# Asian Operators: 2007

[For meaning of abbreviations and symbols, see introductory text]

All farms with an Asian operator 1 Farms with an Asian principal operator Geographic area Farms Asian operators Land in farms (acres) Farms Land in farms (acres)

STATE TOTAL

California .......................................................................

COUNTIES

Alameda ........................................................................ Butte .............................................................................. Calaveras ...................................................................... Colusa ........................................................................... Contra Costa ................................................................. Del Norte ....................................................................... El Dorado ....................................................................... Fresno ........................................................................... Glenn ............................................................................. Humboldt .......................................................................

Imperial .......................................................................... Inyo ................................................................................ Kern ............................................................................... Kings .............................................................................. Lake ............................................................................... Lassen ........................................................................... Los Angeles ................................................................... Madera .......................................................................... Mariposa ........................................................................ Mendocino .....................................................................

Merced ........................................................................... Modoc ............................................................................ Monterey ........................................................................ Napa .............................................................................. Nevada .......................................................................... Orange ........................................................................... Placer ............................................................................ Riverside ........................................................................ Sacramento ................................................................... San Benito .....................................................................

San Bernardino .............................................................. San Diego ...................................................................... San Francisco ................................................................ San Joaquin ................................................................... San Luis Obispo ............................................................ San Mateo ..................................................................... Santa Barbara ............................................................... Santa Clara .................................................................... Santa Cruz ..................................................................... Shasta ...........................................................................

Siskiyou ......................................................................... Solano ........................................................................... Sonoma ......................................................................... Stanislaus ...................................................................... Sutter ............................................................................. Tehama ......................................................................... Trinity ............................................................................. Tulare ............................................................................ Ventura .......................................................................... Yolo ............................................................................... Yuba .............................................................................. 4,177

26 77 11 30 20 3 23 919 33 8

20 1 95 30 15 1 148 133

4 10

167

3 90 27 3 66 43 217 87 14

68 316

2 170 76 19 67 120 41 9

7 47 47 94 236 15 4 216 173 65 61 5,78 0

39 125 13 41 27 4 37 1,290

58 10

23 1 133 38 17 1 212 171

6 13

213

3 135 33 3 90 62 306 115 19

101 396

2 232 103 25 83 167 56 14

10 61 51 133 350 19 4 310 235 92 98 478,705

1,934 10,814

286 9,307

277 33 513 92,551 13,558

(D)

(D) (D) 18,641 4,37 9

302 (D) 3,383 19,949

190 1,449

21,913 6,000 10,796 5,312

15 3,085

599 9,840 8,572 1,854

3,848 8,759

(D) 32,591 7,044

196 (D) 5,359 2,766

(D)

5,599 7,517 1,674 8,354 28,403 9,646

90 29,377 16,222 34,746 11,183 3,684

22 72 7 23 9

- 16 866 29 3

18

- 89 25 9

- 119 123

2 6

144

1 73 18

- 64 37 190 69 12

60 255

2 161 49 17 56 115 37 6

7 45 34 83 228 15 3 199 147 61 58 423, 116

1,801 10,022

(D) 6,309

162

- 282 87,126 12,374

(D)

(D)

- 18,146 1,460

89

- 1,642 18,658

(D) 1,247

21,382 (D) 7,642

(D)

- 3,027

485 (D) 7,740 1,721

3,374 6,763

(D) 23,749 5,592

164 (D) 5,292 2,368

(D)

5,599 6,826 1,518 5,059 27,455 9,646

78 27,120 15,143 34,714 11,126

1 Data were collected for a maximum of three operators per farm.

# 2007 CENSUS OF AGRICULTURE - COUNTY DATA CALIFORNIA 565

USDA, National Agricultural Statistics Service 

# Table 53. 

# Black or African American Operators: 2007

[For meaning of abbreviations and symbols, see introductory text]

All farms with a Black or African American operator 1 Farms with a Black or African American principal operator Geographic area

Farms Black or African American operators Land in farms (acres) Farms Land in farms (acres)

STATE TOTAL

California ........................................................................

COUNTIES

Amador ........................................................................... Butte ............................................................................... Calaveras ....................................................................... Colusa ............................................................................ Del Norte ........................................................................ El Dorado ....................................................................... Fresno ............................................................................ Glenn ............................................................................. Kern ............................................................................... Kings ..............................................................................

Lake ............................................................................... Los Angeles ................................................................... Madera ........................................................................... Mariposa ........................................................................ Mendocino ...................................................................... Merced ........................................................................... Modoc ............................................................................ Monterey ........................................................................ Napa .............................................................................. Nevada ...........................................................................

Orange ........................................................................... Placer ............................................................................. Riverside ........................................................................ Sacramento .................................................................... San Benito ...................................................................... San Bernardino .............................................................. San Diego ...................................................................... San Joaquin ................................................................... San Luis Obispo ............................................................. San Mateo ......................................................................

Santa Barbara ................................................................ Solano ............................................................................ Sonoma .......................................................................... Stanislaus ....................................................................... Sutter ............................................................................. Tehama .......................................................................... Tulare ............................................................................. Ventura ........................................................................... Yolo ................................................................................ 383

2 4 3 5 1 9 28 4 28 9

5 37 16 4 4 13 1 6 13 1

2 2 29 9 5 8 24 16 11 4

4 8 16 13 3 6 15 8 7 434

2 4 4 5 1 9 38 4 31 9

5 38 16 4 4 16 1 6 13 2

2 4 30 10 6 8 27 22 11 4

4 8 21 20 3 6 19 9 8 79,1 50

(D) 243 (D) 126 (D) 56 1,729

(D) (D) 264

478 2,399 6,225

198 62 299 (D) (D) 480 (D)

(D) (D) 671 659 (D) 243 84 298 2,909

316

(D) 438 2,229 1,186

46 248 2,650

(D) 421 320

2 4 3 5 1 6 21 3 25 9

5 29 16 4 4 12 1 4 3 1

2 2 26 8 5 7 18 14 8 3

4 8 11 13 3 4 11 8 7 26,3 04

(D) 243 (D) 126 (D) 47 (D) 70 4,530

264

478 (D) 6,225

198 62 253 (D) (D) 19 (D)

(D) (D) 382 411 (D) 203 52 286 383 (D)

(D) 438 (D) 1,186

46 218 (D) (D) 421

1 Data were collected for a maximum of three operators per farm.

# 566 CALIFORNIA 2007 CENSUS OF AGRICULTURE - COUNTY DATA

USDA, National Agricultural Statistics Service 

# Table 54. 

# Native Hawaiian or Other Pacific Islander Operators: 2007

[For meaning of abbreviations and symbols, see introductory text]

All farms with a Native Hawaiian or Other Pacific Islander operator 1 Farms with a Native Hawaiian or Other Pacific Islander principal operator Geographic area

Farms Native Hawaiian or Other Pacific Islander operators Land in farms (acres) Farms Land in farms (acres)

STATE TOTAL

California .......................................................................

COUNTIES

Alameda ........................................................................ Amador .......................................................................... Butte .............................................................................. Colusa ........................................................................... El Dorado ....................................................................... Fresno ........................................................................... Glenn ............................................................................. Humboldt ....................................................................... Kern ............................................................................... Kings ..............................................................................

Lake ............................................................................... Los Angeles ................................................................... Madera .......................................................................... Mariposa ........................................................................ Merced ........................................................................... Monterey ........................................................................ Napa .............................................................................. Orange ........................................................................... Placer ............................................................................ Riverside ........................................................................

Sacramento ................................................................... San Bernardino .............................................................. San Diego ...................................................................... San Joaquin ................................................................... San Luis Obispo ............................................................ Santa Barbara ............................................................... Santa Clara .................................................................... Shasta ........................................................................... Siskiyou ......................................................................... Solano ...........................................................................

Sonoma ......................................................................... Stanislaus ...................................................................... Sutter ............................................................................. Tehama ......................................................................... Tulare ............................................................................ Ventura .......................................................................... Yolo ............................................................................... Yuba .............................................................................. 283

2 2 3 3 11 28 3 1 6 2

6 5 7 2 11 5 1 2 8 3

2 20 22 8 12 8 7 10 5 1

9 21 5 12 11 11 2 6 311

2 2 3 3 11 38 3 1 6 4

6 7 7 2 11 5 2 2 8 4

2 20 22 8 12 8 7 10 5 1

9 27 6 12 11 16 2 6 70,5 46

(D) (D) (D) (D) 1,166 6,754 9 (D) (D) (D)

2,134

89 999 (D) 276 4,670

(D) (D) (D) (D)

(D) 110 387 91 928 484 673 777 1,943

(D)

47 2,382

479 738 419 (D) (D) (D) 183

- 2

- 2 10 22 3 1 3 2

-

- 7 2 10 2 1 2 7 3

2 14 9 6 5 8 6 2 2 1

2 16 5 11 6 8 1

- 38,2 80

- (D)

- (D) 1,136

(D)

9 (D) 59 (D)

-

- 999 (D) 256 (D) (D) (D) (D) (D)

(D) 92 45 67 57 484 671 (D) (D) (D)

(D) 763 479 285 260 (D) (D)

-

1 Data were collected for a maximum of three operators per farm.

# 2007 CENSUS OF AGRICULTURE - COUNTY DATA CALIFORNIA 567

USDA, National Agricultural Statistics Service 

# Table 55. 

# White Operators: 2007

[For meaning of abbreviations and symbols, see introductory text]

All farms with a White operator 1 Farms with a White principal operator Geographic area

Farms White operators Land in farms (acres) Farms Land in farms (acres)

STATE TOTAL

California ........................................................................

COUNTIES

Alameda ......................................................................... Alpine ............................................................................. Amador ........................................................................... Butte ............................................................................... Calaveras ....................................................................... Colusa ............................................................................ Contra Costa .................................................................. Del Norte ........................................................................ El Dorado ....................................................................... Fresno ............................................................................

Glenn ............................................................................. Humboldt ........................................................................ Imperial .......................................................................... Inyo ................................................................................ Kern ............................................................................... Kings .............................................................................. Lake ............................................................................... Lassen ............................................................................ Los Angeles ................................................................... Madera ...........................................................................

Marin .............................................................................. Mariposa ........................................................................ Mendocino ...................................................................... Merced ........................................................................... Modoc ............................................................................ Mono .............................................................................. Monterey ........................................................................ Napa .............................................................................. Nevada ........................................................................... Orange ...........................................................................

Placer ............................................................................. Plumas ........................................................................... Riverside ........................................................................ Sacramento .................................................................... San Benito ...................................................................... San Bernardino .............................................................. San Diego ...................................................................... San Francisco ................................................................ San Joaquin ................................................................... San Luis Obispo .............................................................

San Mateo ...................................................................... Santa Barbara ................................................................ Santa Clara .................................................................... Santa Cruz ..................................................................... Shasta ............................................................................ Sierra ............................................................................. Siskiyou .......................................................................... Solano ............................................................................ Sonoma .......................................................................... Stanislaus .......................................................................

Sutter ............................................................................. Tehama .......................................................................... Trinity ............................................................................. Tulare ............................................................................. Tuolumne ....................................................................... Ventura ........................................................................... Yolo ................................................................................ Yuba ............................................................................... 76,211

501

7 474 1,940

617 782 622 79 1,231 5,142

1,199

827 432 90 1,992 1,095

817 452 1,584 1,544

255 293 1,106 2,429

438 81 1,11 7 1,619

683 270

1,429

140 3,246 1,309

590 1,302 6,339 4 3,428 2,710

312 1,518

951 640 1,431

50 820 836 3,356 3,953

1,020 1,712

162 4,920

360 2,285

910 760 117,665

776 10 757 2,985

975 1,267

943 143 1,957 7,719

1,897 1,251

682 147 3,242 1,725 1,257

759 2,558 2,311

405 501 1,744 3,800

719 124 1,709 2,569 1,128

398

2,313

241 4,981 2,084

874 2,004 9,437 4 5,178 4,237

476 2,328 1,441

998 2,299

72 1,351 1,310 5,077 5,985

1,619 2,628

232 7,415

574 3,42 3 1,439 1,187 24,478,029

202,822

1,810 163,350 362,295 196,208 464,266 146,873 16,143 95,281 1,537,200

475,016 580,220 412,381 292,392 2,328,900

678,728 122,694 457,425 104,685 651,413

133,275 211,041 531,867 1,021,338

537,520 43,110 1,319,219

222,156 70,107 84,444

131,101 119,485 311,891 316,751 569,274 511,419 286,916 (D) 709,484 1,358,380

56,654 714,287 293,921 46,169 381,611 (D) 580,624 321,741 518,597 773,439

330,916 521,285 (D) 1,080,331

109,963 249,523 454,348 146,803 75,021

491

7 473 1,913

614 766 617 79 1,210 5,037

1,192

812 425 90 1,954 1,081

806 442 1,549 1,491

255 290 1,09 2 2,394

436 78 1,090 1,609

676 251

1,394

130 3,192 1,275

587 1,266 6,266 4 3,382 2,664

301 1,507

935 634 1,394

47 810 820 3,339 3,911

1,000 1,673

162 4,868

355 2,253

894 738 24,309,092

202,712

1,810 163,310 358,606 195,871 460,603 146,628 16,143 94,551 1,521,389

472,959 (D) 411,676 292,392 2,321,479

678,566 122,525 457,094 103,578 640,857

133,275 210,987 512,862 1,014,186

537,385 42,624 1,310,445

211,540 70,054 83,376

127,643 119,033 310,992 313,045 567,264 509,118 284,711 (D) 704,974 1,357,136

56,565 711,103 293,046 45,008 378,399 (D) 577,668 315,620 517,779 771,081

328, 341 520,094 (D) 1,073,774

109,928 242,632 443,924 142,844

1 Data were collected for a maximum of three operators per farm.

# 568 CALIFORNIA 2007 CENSUS OF AGRICULTURE - COUNTY DATA

USDA, National Agricultural Statistics Service 

# Table 56. 

# Operators Reporting More Than One Race: 2007

[For meaning of abbreviations and symbols, see introductory text]

All farms with an operator reporting more than one race 1 Farms with a principal operator reporting more than one race Geographic area

Farms Operators reporting more than one race Land in farms (acres) Farms Land in farms (acres)

STATE TOTAL

California .......................................................................

COUNTIES

Alameda ........................................................................ Amador .......................................................................... Butte .............................................................................. Calaveras ...................................................................... Colusa ........................................................................... Contra Costa ................................................................. Del Norte ....................................................................... El Dorado ....................................................................... Fresno ........................................................................... Glenn .............................................................................

Humboldt ....................................................................... Imperial .......................................................................... Kern ............................................................................... Kings .............................................................................. Lake ............................................................................... Lassen ........................................................................... Los Angeles ................................................................... Madera .......................................................................... Mariposa ........................................................................ Mendocino .....................................................................

Merced ........................................................................... Modoc ............................................................................ Mono .............................................................................. Monterey ........................................................................ Napa .............................................................................. Nevada .......................................................................... Orange ........................................................................... Placer ............................................................................ Plumas ........................................................................... Riverside ........................................................................

Sacramento ................................................................... San Benito ..................................................................... San Bernardino .............................................................. San Diego ...................................................................... San Joaquin ................................................................... San Luis Obispo ............................................................ San Mateo ..................................................................... Santa Barbara ............................................................... Santa Clara .................................................................... Santa Cruz .....................................................................

Shasta ........................................................................... Sierra ............................................................................. Siskiyou ......................................................................... Solano ........................................................................... Sonoma ......................................................................... Stanislaus ...................................................................... Sutter ............................................................................. Tehama ......................................................................... Trinity ............................................................................. Tulare ............................................................................

Tuolumne ....................................................................... Ventura .......................................................................... Yolo ............................................................................... Yuba .............................................................................. 989

2 2 25 7 10 10 1 31 54 18

9 6 24 4 5 5 18 26 6 33

33 6 3 10 14 9 8 23 3 33

24 8 34 44 34 30 8 4 10 4

26 1 11 14 36 66 19 29 10 63

4 20 22 30 1,09 9

2 2 28 8 10 15 1 37 56 21

11 6 34 4 5 5 18 27 7 33

36 6 3 11 14 9 9 23 4 36

24 13 34 46 40 36 12 4 12 4

26 1 14 19 42 72 20 31 17 63

5 23 26 34 312,672

(D) (D) 1,084

159 2,186

(D) (D) (D) 5,79 2 4,560

732 (D) 7,616

(D) 75 761 1,407 9,685 13,035 80,827

4,091 56,981 1,500 1,847

973 490 453 888 (D) 1,907

5,411

(D) 458 1,712 3,806 5,441

(D) (D) 837 36

2,956

(D) 2,144 1,667 12,516 9,162

852 2,982

(D) 3,530

(D) 732 5,746

801 647

2

- 18 1 9 7

- 17 45 11

6 5 14 4 3 4 16 20 4 23

20 4 3 5 4 6 5 18 3 26

18 2 29 20 20 22 8 4 8

-

17

- 6 14 18 37 14 13 5 45

4 12 12 16 244, 907

(D)

- 952 (D) 2,170

(D)

- (D) 3,199 3,653

570 (D) 3,606

(D) 27 501 1,391 9,543

(D) (D)

851 (D) 1,500

404 (D) (D) (D) 650 (D) 1,849

3,873

(D) 414 1,036 3,336 5,316

(D) (D) (D)

-

(D)

- (D) 1,667

(D) 7,182

797 857 (D) 2,747

(D) 665 417 522

1 Data were collected for a maximum of three operators per farm.

# 2007 CENSUS OF AGRICULTURE APPENDIX A A-1

USDA, National Agricultural Statistics Service 

# Appendix A. Census of Agriculture Methodology

THE CENSUS POPULATION

The Census Mail List

The National Agricultural Statistics Service (NASS)

maintains a list of farmers and ranchers from which the Census Mail List (CML) is compiled. The goal is to build as complete a list as possible of agricultural places that meet the NASS fa rm definition, that is, an operation that produces, or would normally produce and sell, $1,000 or more of agricultural products per year. The CML compilation begins with the list used to define sampling populations for NASS surveys conducted for the agricultural estimates program. Each record on the list includes name, address, and telephone number plus additional information that are used to efficiently administer the census of agriculture and agricultural estimates

programs.

NASS builds and improves the list on an ongoing basis by obtaining outside source lists. Sources include State and federal government lists, producer association lists, seed grower lists, pesticide applicator lists, veterinarian lists, marketing association lists, and a vari ety of other agriculturerelated lists. NASS also obtains special commodity lists to address specific list deficiencies. These

outside source lists are matched to the NASS list using record linkage programs. Most names on newly acquired lists are al ready on the NASS list. Records not on the NASS list are treated as potential

farms until NASS can confir m their existence as a qualifying farm. Staff in NASS field offices routinely contact these potential farms to determine if they meet the NASS farm definition. For the 2007 Census of Agriculture, NASS made a concerted effort to work with Community-Based Organizations not only to improve list c overage for minorities but

also to increase census aw areness and participation.

List building activities for developing the 2007 CML started in 2004. Be tween 2004 and 2007, NASS conducted a series of Agri cultural Identification Surveys (AIS) on approximately 1.7 million records, which included nonrespondents from the 2002 census and newly added r ecords from outside list sources. The AIS report form collected information that was used to determine if an operation met the

NASS farm definition. If th e definition was met, the operation was added to the NASS list and subsequently to the CML. Addressees that were nonrespondents were also added to the CML and identified with a special status code.

Measures were taken to improve name and address quality. Additional record linkage programs were run to detect and remove duplicate records both

within each State and across States. List addresses were processed through the National Change of Address Registry and the Locatable Address Conversion System to ensure they were correct and complete. Records on the list with missing or invalid phone numbers we re matched against a nationally available telephone database to obtain as many phone numbers as possible.

The official CML was established on September 1, 2007. The list contained 3,194,373 records. There were 2,198,410 records that we re thought to meet the

NASS farm definition a nd 995,963 potential farm records, which included AIS nonrespondents, other records added to the CML by the NASS field offices,

and late adds to the CML that were not included in any previous AIS or Stat e screening survey.

Not on the Mail List

To account for farming operations not on the CML,

NASS used its area frame. The NASS area frame

covers all land in the U.S. and includes all farms. The land in the U.S. is stratified by characteristics of the land. Segments of approximately equal size are

# A-2 APPENDIX A 2007 CENSUS OF AGRICULTURE

USDA, National Agricultural Statistics Service 

# delineated within each strata and designated on aerial photographs. A probability sample of segments is

drawn within each strata for the NASS annual area frame survey, known as the June Agricultural Survey (JAS). The JAS sample of segments is allocated to strata to provide accurate measures of acres planted to widely grown crops and inventories of hogs and cattle. Sampled segments in the June Survey are personally enumerated. Each operation identified within a segment boundary is known as a tract.

The 2007 JAS sample was allocated to strata so that it would provide additional measures of small and minority owned farms. The 2007 JAS consisted of 10,912 regular sampled segments, supplemented with 3,692 Agricultural Cove rage Evaluation Survey (ACES) segments – segments selected to provide measures of small and minority owned farms. These additional ACES segments targeted farming demographics that typically had lower coverage rates

on the list.

The information from each tract (operation) within a segment is matched agains t operations on the NASS list to determine the amount of undercoverage that exists for a wide range of farming sectors and farmer demographics. The names and addresses collected in

the 2007 JAS and 2007 ACES were matched to the CML and checked for duplication. Farms from the June 2007 survey that did not match were determined to be Not on the Mail List (NML) and sent a report form of a diffe rent color to be easily identified. Data from the NML operations provided a measure of the undercoverage of the CML operations. Instructions on the census report form guided the respondent to complete the CML form and mail back both CML and NML forms together if duplicate forms were received. Those who returned

a CML census form and an NML census form had been erroneously classified as NML and were

removed from the NML.

The percentage of farms not represented on the CML varied considerably by State. In general, farms not on the mail list tended to be small in acreage, production, and sales of agricultural products. Farm operations were missed for various reasons, including the possibility that the operation started

after the mail list was de veloped, the operation wasso small that it did not appear in any agriculturerelated source lists, or the operation was erroneously classified as a nonfarm prior to mailout.

The NML consisted of 12,821 tracts. The CML was used with the NML in multiple frame estimation to represent all farming opera tions across all States, with the exception of Alaska. It is financially and logistically unfeasible to maintain an area frame in

Alaska due to its vast land mass and relatively sparse agriculture.

DATA COLLECTION

Method of Enumeration

Mailout and mailback was the primary data collection method. It was supplemented with Electronic Data Reporting (E DR) on the Internet and non-response follow-ups by telephone and personal

enumeration. The enumeration methods used in the

2007 census were similar to those used in the 2002

census.

Report Forms

A master report form was de veloped that included all

data items to be collected in the census. From the master, two types of report forms were developed to

be used in the 2007 census - a regionalized report form with 7 versions and a national report form. Each of the 24-page regi onalized report forms (07- A0201, 07-A0202, 07-A0203, 07-A0204, 07-A0205, 07-A0206, 07-A0207) were designed to facilitate reporting crops most commonly grown within the report form region. The 12-page national report form (07-A0100) was designed for operations throughout the country with few commodities. The national report form collected the same information as the regional form, but it was formatted to fit on fewer pages. All of the forms allowed respondents to write in specific commodities that were not

identified on their form. The national form was mailed to approximately 528,000 addresses on the CML (about 20 percent) and the regional form was mailed to 2.67 million addresses on the CML (about 80 percent).

Report Form Mailings and Respondent Follow-up

The initial mailout took place at the end of December 2007. Approximately 3.2 million packets

# 2007 CENSUS OF AGRICULTURE APPENDIX A A-3

USDA, National Agricultural Statistics Service 

# were mailed. Each packet contained a cover letter, instruction sheet, a labeled report form, and a return envelope. Mailout pack et preparation, initial mailout, and two follow-up mailings to nonrespondents were handled by the Census

Bureau’s National Proce ssing Center (NPC) in Jeffersonville, IN. The first follow-up was mailed during the last two week s of February 2008 to approximately 1.3 million nonrespondents. The second follow-up was mailed the beginning of April 2008 to approximately 1.0 million nonrespondents. Additionally, NPC receiv ed, checked-in, scanned, and keyed (from image) returned report forms.

NASS statisticians on site at NPC provided technical guidance and monitored NPC processing activities.

Select groups of census records were identified to receive special handling procedures. Report forms were labeled at NPC and shipped to the field offices for enumeration. These respondents were excluded from the initial and both follow-up mailings, and were referred to as “must” operations. Each "must"operation was enumerated by telephone or face-toface. If a record was determined to be no longer in operation, their non-farm st atus was verified and documented. The field offices were responsible for enumerating or resolvi ng all non-response "must" records in their State. Computer Assisted Telephone Interview (CATI) calling for nonrespondent "must"

records was conducted between March 2008 and June 2008. Once enumerated, the report forms were either sent to NPC for check-in and data capture or the data were keyed directly from the form at the field office. The 169,000 “must” records fell into one of five groups.

The first "must" group consisted of 46,000 records “tagged” by the NASS field offices for personal

enumeration rather than mailout and mailback enumeration. The second "must" group consisted of 4,000 "specialized" reco rds including such operations as grazing a ssociations, governmental units, research farms, college farms, etc.. The third "must" group was character ized by location. All 3,000 records in Alaska and Rhode Island were

identified as "must" records because census statistics

for these two States were based on responses to the CML because nonresponse was not permitted. The last two groups consisted of a total of 116,000 records expected to have either a large number of acres in farm land or a large value of sales.

Threshold levels were identif ied for each State.

Advanced Follow-up was conducted between February 2008 and April 2008. It focused on three groups of nonrespondents that included: respondents least likely to respond because they were nonrespondents to the 1997 and 2002 Censuses of Agriculture, even though they may have responded to other NASS surveys; res pondents viewed as easy and quick interviews based on expected sales of zero, including respondents who received Conservation Reserve Program (CRP) payments and respondents to the AIS with expected future sales;

and new records whose farm status was uncertain

due to unsuccessful earlie r screening attempts. The

field offices conducted CATI and field enumeration for operations in their State. This phase was followed by Low-Response County Follow-up to attempt to reach a minimum response rate of at least 75 percent in all counties. It was conducted by the field offices using CATI between March 2008 and June 2008.

DATA COLLECTION OUTREACH AND PROMOTIONAL EFFORTS

NASS engaged in an unprecedented level of public outreach for the 2007 Census of Agriculture, seeking

to increase the level of awareness and response among U.S. agricultural pr oducers and, in particular, minority and small farm operators. This was accomplished through an integrated marketing communications program that focused on four primary areas: partnership building, public relations, paid media, and the Internet. External support was provided by a private ag ricultural marketing communications agency.

The unifying force behind the 2007 marketing campaign was the theme “Your Voice, Your Future, Your Responsibility.” This was accompanied by supporting messages and artwork that created a

consistent look and feel for all census

communications.

Partnership

At the national level, NASS officials met with leaders from dozens of key agricultural organizations and other USDA agencies , successfully securing

# A-4 APPENDIX A 2007 CENSUS OF AGRICULTURE

USDA, National Agricultural Statistics Service 

# their support in promoting the census among their constituencies through publications, special mailings, speeches, and other communications. In addition, NASS made special efforts to reach out to minority and limited-resource farmers and ranchers by partnering with a number of community-based organizations. The nati onal-level outreach was mirrored by field offices at th e State and local levels. Among the features of thes e collective efforts was the production of State-specific radio public service announcements (PSAs) feat uring State secretaries and commissioners of agriculture, as well as a

national radio PSA featuri ng the U.S. Secretary of Agriculture.

Coverage of American Indian and Alaska Native Farm Operators

To maximize coverage of American Indian and Alaska Native farm operators, special procedures

were followed in the census. A concerted effort was made to get individual reports from every American Indian and Alaska Native farm operator in the country. If this was not possible within some reservations, a single rese rvation-level census report was obtained from knowledgeable reservation officials. These reports covered agricultural activity

on the entire reservation. NASS reviewed these data and removed duplication with any data reported by American Indian or Alaska Native farm operators who responded on an individua l census report form. Additionally NASS obtained, from knowledgeable reservation officials, the count of American Indian and Alaska Native farm ope rators (on reservations)

who were not counted th rough individual census report forms, but whose agricultural activity was included in the reservation-level report form.

This information is summarized in Table D, American Indian and Alaska Native Operators:

2007 (Table A in the Alaska publication), providing the number of farm operators (for up to three operators per farm) reported as American Indian or Alaska Native in the race category, either as a single race or in combination with other races, on the individual census report form s, plus the total number of American Indian or Alaska Native operators farming on reservations as reported by reservation officials. The count from the individual report forms is summarized in the “Individually reported” column. It includes operators on or off reservations. The “Other” column provides counts of operators on reservations as reported by a reservation or tribal official. The “Total” column is simply a sum of the “Individually reported” and the “Other” columns. Tables in other parts of the publication count the reservation-level repor ts as single farms.

Public Relations

In the public relations arena, NASS and the contractor worked with the agriculture media at the national level and equipped NASS’s 46 field offices

with communications tools that enabled them to deliver the right message to producers in their States. From customizable press releases, to radio public service announcements, to a video news release, to newsletter articles and letters to the editor, the public relations strategy was designed to ensure NASS fields offices could easily and effectively deliver the census message to local media. As a result, in the print media alone, the public relations efforts generated 27 million media impressions.

Paid Media

Because there were certain constituencies that were difficult to reach through partnership or public relations, NASS also employed a paid media strategy that was narrowly targeted to reach previously under-represented populations. NASS purchased limited print and radio advertising in areas where there were high concentra tions of minority farmers and where 2002 census response rates were low.

Internet

For the 2007 census, NASS created a dedicated website, www.agcensus.usda.gov. This became a repository for all types of census information, including basic background materials, previous years’ census data, sample report forms, and news releases and other publicity materials. The website

also enabled individuals to submit their contact information to ensure that they were on the mailing

list to receive a census form. NASS also enhanced its online presence by purchasing banner ads and pay-per-click advertisements on key agricultural websites as well as major search engines.

# 2007 CENSUS OF AGRICULTURE APPENDIX A A-5

USDA, National Agricultural Statistics Service 

# REPORT FORM PROCESSING

Data Capture

All report forms returned to NPC were immediately checked in, using bar codes printed on the mailing label, and removed from follow up mailings. All forms with any data were scanned and an image was made of each page of a report form. Optical Mark Recognition (OMR) was used to capture categorical responses and to identify the other answer zones in which some type of mark was present.

Data entry operators keyed data from the scanned images using OMR results that highlighted the areas of the report forms with respondent entries. The keyer evaluated the contents and captured pertinent responses. Ten percent of the captured data were keyed a second time for quality control. If differences existed between the first keyed value and the second, an adjudicator handled resolution. The decision of the adjudicator was used to grade the performance of the keyers , who were required to maintain a certain accuracy level.

The images and the captured data were transferred to

NASS’s centralized network and became available to field offices and headquarters on a flow basis. The images were available for use in all stages of review. Images were computer generated for reports obtained from the telephone interviews and the

Internet.

Editing Data

Captured data were processed through a format program. The program verified that record identifiers were valid and checked the basic integrity of the data fields. Rejected records were referred to analysts for correction. A ccepted records were sent to a batch edit process. Each execution of the computer edit in batch mode consisted of records from only one State and flowed as the data were

received from NPC.

All 2007 census records were passed through a complex computer edit. The edit determined whether a reporting operation met the minimum

criteria to be count ed as a qualifying farm (in-scope).Operations failing to meet the minimum criteria (outof-scope) were referred to analysts for verification. The edit examined each in-scope record for reasonableness and completeness and determined whether to accept the recorded value for each data

item or take corrective action. Actions included removing erroneously reported values, replacing an

unreasonable value with one consistent with other reported data, or providing a value for an overlooked item. To the extent possible, the edit determined a replacement value. Stra tegies for determining replacement values are discussed in the next section.

The edit systematically checked reported data section-by-section with the overall objective of achieving an internally consistent and complete report. NASS subject-matter experts defined the criteria for acceptable data. Problems that could not

be resolved within the edit were referred to an analyst for intervention. An alysts in the NASS field offices used additional information sources, examined the scanned image, and determined an appropriate action. Field o ffice analysts used an interactive version of the edit program to submit

corrected data and immediat ely re-edit the record to ensure a satisfactory solution.

Imputing for Missing Data

Missing data occurred when ever a respondent failed to report in a cell that should have a positive value or

when the edit determined a value was not reasonable and should be changed. The edit performed a sequence of steps that determined the best value to impute for the missing item. If an item could not be calculated directly from ot her data reported on the current form, the edit checked for previously reported data. Acreage, production, and inventory items may have been reported on a recent NASS crop or livestock survey. Operator characteristics, such as race and gender, were brought forward from the previous census if th e operator had not changed in five years. Administrative data from the Farm Service Agency was used for a few items, such as Conservation Reserve Program acreage. When these deterministic sources failed to produce a solution,

the edit invoked an auto mated imputation system which searched for a reporti ng farm of similar type, size, and location to provi de a value for the missing data item. If the imputation algorithm failed to provide a solution, the record was referred to an analyst for resolution.

# A-6 APPENDIX A 2007 CENSUS OF AGRICULTURE

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# The guiding principal for imputation was to find a close match to the farm with the missing item. Thecensus imputation algorithm relied on preestablished donor pools, one for each State. A donor pool included a collection of completed reports that had successfully navigated the edit. Each pool was further divided into groups of similar type and size, referred to as profiles. When the edit determined the need to impute an item, it went to the appropriate profile and searched for the best fit. Best fit was determined by calculating “distance” between the incomplete report and each candidate donor using a

set of match variables. Match variables were specific to each section of the report form and

included the latitude and l ongitude of the principal county of operation. The distance was the sum of the squared differences between the reported values

of the match variables. The donor with the smallest

distance was considered the “nearest neighbor” and

became the source for th e imputation action. The value returned may have been a direct copy of the donor’s value. In many cases, a relationship

between two related variables on the donor record was applied to a reported value on the incomplete record. Using crop production as an example, the donor’s production was divided by its harvested acres (yield) and multiplied by the recipient’s harvested acres to obtain imputed production.

The imputation process was imbedded in the edit. When the edit determined an item required imputation, the edit progra m launched the algorithm, waited for a value to be returned, validated that the returned value was satisfactory, and resumed editing. Since imputation was conducted independently for each occurrence, reports requiring multiple imputations drew from multiple donors.

Initial donor pools were established before the first batch edits were run. These donor pools were “seeded” with 2002 census data that were “mapped” to look like 2007 data and passed through the 2007 edit to ensure they were consistent using the 2007 data relationships. In a ddition, data from the 2005 Census Content Test were similarly mapped and

edited. As 2007 data were successfully processed, new records systematically replaced the older records in the donor pool . The older records disappeared entirely from the donor pool after the

first few batch edits. The donor pool for each State was refreshed weekly during the first couple of m onths of editing. As the flow of new data slowed, the donor pools were refreshed biweekly. During the early stages of editing, records that needed to impute production for field crops or hay were se t aside. When the donor pool no longer contained old data, these records were brought back and passed through the edit, ensuring 2007 yields were imputed.

In some cases, nearest-neighbor imputation was not possible. The requirement of a positive imputed value could have ruled out all available donors, resulting in an imputati on failure. An imputation

failure could have occurre d if there were no donors in the same profile as the report being edited. Records with imputation failures were either held

until more records were available in the donor pool or referred to an analyst.

Data Analysis

The complex edit ensured the full internal consistency of the record. Successfully completing the edit did not provide insight as to whether the report was reasonable compar ed to other reports in the county. Analysts were provided an additional set of tools, in the form of listings and graphs, to review

record-level data across farms. These examinations revealed extreme outliers, large and small, or unique data distribution patterns that were possibly a result of reporting, recording, or handling errors. Potential problems were researched and, when necessary, corrections were made and the record interactively edited again.

WHOLE FARM NONRESPONSE ESTIMATION

Whole farm nonresponse adjustments were necessary because some farm operators did not respond to the census, despite numerous attempts to

contact them. Statistical estimation procedures were used to account for these CML nonrespondents. The objectives of the nonresponse adjustments included estimating the number of in -scope records (farms)

included in the total numbe r of nonrespondents of a similar size and type by increasing the weights of reporting farms of that size and type. This procedure

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# was intended to account for those farms that failed to return a report form. These procedures were applied in all States, except Alaska and Rhode Island where staff were required to submit data for every record on the CML due to the low level of farming operations in these States . Large or unique farms (Must records) for which a report was required (and thus given a nonresponse weight of one) were exempt from this weighting procedure. These farms received intensive follow-ups. Data were imputed for the record if all followup contacts failed (rather than using the nonrespons e weighting procedure).

After census data collection was completed, all CML records in a State were put into mutually exclusive weighting groups based on a list of farm

characteristics known at th e time of mail-out and the census response status of the record. Data mining techniques systematically checked selected variables, identifying those groups with differences in response rates that were statistically significant. The algorithm would take one ch aracteristic, divide all names into two groups, and check for statistical significance between the re sponse rates of the two groups. If a significant difference was found, these groups became permanent and the next characteristic

would be examined within those two groups. If the response rate between two groups was not statistically significant, th e groups were rejoined and the next characteristic was tested. This stepwise process continued until all characteristics were

checked and no further stat istical significance could be found. Since the “path” taken by the algorithm was driven by an individua l State’s response pattern, the final breakout of weighting groups was

customized for the State.

Within each weighting group, the percent of responding in-scope farms wa s computed. This rate was applied to the count of nonresponding farms to

estimate the number of in -scope nonrespondents. The weights of the responding in-scope farms in each weighting group were scaled to account for nonresponding farms in that group.

This procedure was applied to all of the weighting groups except the one that consisted primarily of

records who were included on the CML but had not responded to data collection efforts either during CML development activities or during the census data collection phase. The estimate of in-scope records (farms) within this group was not reliable. To get a more reliable estimate, NASS conducted a nonresponse follow-up activity. After scheduled census data collection efforts were completed, a target sample of 5,000 records was selected from

across all States. Thes e 5,000 records were personally interviewed by NASS staff to determine if they were indeed in-scope records (farm) or out-ofscope records (nonfarm). Each record fell into one of these two categories. The pe rcent of in-scope records was used to form the weight for this group.

When NASS summarizes the census of agriculture, it assigns the data from an individual report to the “principal” county. The pr incipal county is the one county in which the majority of agricultu ral products are produced from a respondent. This is a question on the census report form and is therefore determined by the respondent. Because some large operations have significant production in multiple counties, some reports were broken up into multiple source counties, to more accu rately allocate the data. Similarly, large farms operating in more than one State were treated as distinct, state-specific operations. A separate re port form was completed for each county or State and a separate record was

added.

The percent of the total that came from the whole farm nonresponse estimate is shown for selected

census data items in Tables A and C. The estimates provided in Tables A and C do not reflect the effect of item nonresponse on indivi dual census data items.

The effect of this item nonresponse is discussed in the section on “Item Nonresponse” in “Nonmeasured

Census Error.”

COVERAGE ADJUSTMENT

Although much effort was expended making the CML as complete as possible, the census did not count all U.S. farms. NASS’s goal was to produce agricultural census totals for publication that were fully adjusted for list undercoverage at the county

level. NASS used its area frame with the CML in a dual-frame estimation procedure to measure the number of farms in the population and key characteristics of those farms. Area frame segments were enumerated using field enumerators (as

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# described in the first sec tion of this appendix) who personally visited the tract operators within a segment. Because field enumeration is significantly more expensive than other modes of data collection, NASS’s area frame sample allocation is only designed to generate reliable estimates at the State, regional, and U.S. level. Therefore, in order to produce estimates that represented all farms at the county level, NASS used an allocation process

known as “calibration” to distribute the dual-frame

estimates across counties.

Once all CML and NML data were collected, NASS analysts went through an extensive process to generate adjusted estimates . The weights of the CML respondents had been previously adjusted to account for all of the CML nonrespondents, referred to as list plus nonresponse (CML+NR). Simultaneously,

NASS summarized the NML tract records to generate state-level NML survey estimates. These two pieces were then combined in a dual-frame estimation procedure to form State estimates of totals that represented all farms. These estimates are annotated as [(CML+NR) +NML]. The state-level totals for these variables were summed to yield

national totals.

The whole farm nonresponse and list undercoverage record weighting processes were initially applied at the State level to produce adjusted estimates of farm numbers and land in farms for 65 different categories

of 8 characteristics of the farm operation or the farm operator -- value of agricultural sales (8); age (2); female; race (4); Hispanic origin of principal farm operator; total number of farms and land in farms (2); 4 sales categories for each of 10 major commodities (40); and 7 farm type groups. The national-level adjusted estimates were smoothed across States to get initial State farm operation coverage targets because state-level farm-count estimates based on this two-piece formula sometimes had unacceptably high state-le vel standard errors and apparent biases. This often occurs when estimating a rare item, such as female farm operators, using a general purpose survey.

The smoothing process examined the proportion of the total JAS estimate attributable to the NML, for

each of the 65 variables in each State and the U.S. Since the CML was built using standard national methods, the NML percentages were expected to be

uniform across States. The smoothed NML value for each of the 65 variables in a given State was calculated as the product of the state-level NML value and the weighted average of the ratios of the NML for a given variable in the State to the overall NML in the State and the NML for the given

variable in the U.S. to the overall NML in the U.S. The weighting factor was chosen to minimize the mean square error under a random effects model

with the control that the sum of the State smoothed NML values was equal to the total NML estimate for each of the 65 variables. This methodology effectively draws the state-level NML undercoverage proportions of the JAS toward the national estimate of undercoverage with the most extreme values adjusted the most. The smoothed NML values for each variable were added to the (CML + NR) totals to form calibration targets for each variable. Subject-matter experts in headquarters reviewed all targets.

However, these State estimates were general purpose in that they did not provide any control over expected levels of commod ity production of the farm operation. As a result of this limitation, the procedures could have over adjusted or under adjusted for commodity pr oduction. To address this,

a second set of variables were added to the calibration algorithm, known as commodity coverage targets. These targets were commodity

totals from administrative sources or from NASS surveys of non-farm populations (e.g. USDA Farm Service Agency program data, Agricultural Marketing Service market orders, livestock slaughter data, cotton ginning data). The introduction of these commodity coverage targets strengthened the overall adjustment procedure by ensuring that major commodity totals remained within reasonable bounds of established benchmarks. Commodity coverage targets with acceptable ranges were established by subject-matte r experts for each State with New England treated as a State.

The calibration algorithm addressed farm operation undercoverage and commodity coverage concurrently. The algorithm was controlled by the 65 State farm operation covera ge targets and the State commodity coverage targets. In order to ensure that the calibration process converged with so many

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# constraints, it was desi rable to provide some tolerance ranges for each target. Although full calibration to a single point estimate would assure that the weighted total among census respondents equaled its target for each calibration variable in either set, it was not always possible to calibrate to such a large number of target values while ensuring that farm weights were within a reasonable range

and not less than one. Because of this and because calibration targets are estimates themselves subject to uncertainty, NASS allowed some tolerance in the determination of the adjusted weights. Rather than forcing the total for each calibration variable computed using the adjust ed weights to equal a specific amount, NASS allowe d the estimated total to fall within a tolerance range. This tolerance strategy sometimes made it possible for the calibration algorithm to produ ce a set of satisfactory, adjusted weights that it w ould not have otherwise.

Ranges for the list farm operation coverage targets were determined differently from the commodity targets. The State target for number of farms had no tolerance range. The tolera nce range for the 64 other State farm operation coverage targets was the

estimated smoothed State total for the variable [(CML+NR)+NML] plus or minus one-half of one

estimated standard error of NML estimate. This

choice limited the cumulative deviation from the

estimated total for a variable when State totals were summed to a U.S. level total. The commodity target tolerance ranges were determined by subject-matter experts, based on the amount of confidence in the source, and usually were le ss than plus or minus two percent of the target. Ranges were not necessarily symmetric around the target value.

Adjusted weights were obtained using truncated

linear calibration which forced the final census record weights to fall in the interval [1,6]. Adjustments began with the nonresponse-adjusted weights and added a second stage weight to simultaneously satisfy all farm operation coverage and commodity coverage ca libration targets. If a

value within the toleran ce range of any variable

could not be achieved in a given State, the variable was removed as a target and the calibration algorithm was rerun. Additionally, the CML was assumed to be complete for very large and unique farms with their weight be ing controlled to 1 during the calibration adjustment process.

Weight computations in the nonresponse and final coverage calibration algorithms were performed to several decimals. Thus, the fully-adjusted weights were non-integer numbers. To insure that all subdomains for which NASS publishes summed to their grand total, fully-adjusted weights were integerized. This eliminated the need for rounding

individual cell values a nd insured that marginal totals always added correctly to the grand total. As an example of how the integerization process worked, assume there were five census records in a county with final nonintege r coverage weights of 2.2, for a total of 11. Th e integerization process randomly selected four of these records and rounded their final weight down to 2.0 and rounded the fifth record up to 3.0, for a total of 11.

The proportions of selected census data items that are due to coverage adju stments are displayed in Tables A and C. Some estimated coverage adjustments could be negative. The use of commodity targets in calibration indirectly exposed some duplication on the census list or over adjustment by the nonresponse algorithm resulting in negative coverage adjustments.

DISCLOSURE REVIEW

After tabulation and review of the aggregates, a comprehensive disclosure review was conducted. NASS is obligated to withhold, under Title 7, U.S. Code, any total that would reveal an individual’s information or allow it to be closely estimated by the public. Cell suppression was used to protect the

cells that were determined to be sensitive to a

disclosure of information. Farm counts are not considered sensitive and are not subject to

disclosure.

Based on agency standards, data cells were

determined to be sensitive to a disclosure of information if they violated either of two criteria. First, the threshold rule was violated if the data cell contained less than three operations. For example, if only one farmer produced turkeys in a county, NASS could not publish the county total for turkey inventory without disclosi ng that individual’s information. Second, a dominance rule was violated

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# if the distribution of the data within the cell allowed a data user to estimate any respondent’s data too closely. For example, if there are many farmers producing turkeys in a county and some of them were large enough to domin ate the cell total, NASS could not publish the county total for turkey inventory without risking disclosing an individual respondent’s data. In both of these situations, the data were suppressed and a “(D)” was placed in the cell in the census publication table. These data cells were referred to as primary suppressions.

Since most items were summed to marginal totals, primary suppressions within these summation relationships were protected by ensuring that there were additional suppressions within the linear relationship that provided ad equate protection for the primary. A detailed computer routine selected additional data cells for suppression to ensure all primary suppressions were properly protected in all linear relationships in all tables. These data cells were referred to as complementary suppressions.

These cells were not themselves sensitive to a disclosure but were suppr essed to protect other primary suppressions. A “(D)” was also placed in the cell of the census publication table to indicate a complementary suppression.

Field office analysts re viewed all complementary suppressions to ensure no cells had been withheld

that were vital to the data users. In instances where complimentary suppressions were deemed critically important to a State or county, analysts requested an

override and a different complement was chosen.

MEASURES OF CENSUS QUALITY

An important objective of the 2007 Census of Agriculture was to provide data with a high level of quality. However, every census or survey has the potential for error in its processes. These errors impact the quality of the data estimates. When feasible, measurements of those errors are provided

with individual data items or used to make adjustments to the census or survey estimates. In conducting the 2007 Census of Agriculture, efforts

were initiated to measure error associated with the adjustment for farm operations that were not respondents to the request to CML records, the coverage adjustment for farms not on the CML using the NML and calibration, and the integerization process. Other errors present in the census of agriculture include respondent or enumerator error, error in classification of farm operations, other types of processing errors, error associated with imputation for item nonresponse, and matching error associated

with dual-frame estimation. These latter errors were

not measured in the census of agriculture process. Information relating to these errors is provided in the

sections that follow.

The 2007 Census of Agriculture process measured the error introduced by th e nonresponse algorithm, the coverage algorithm, and integerization. The root mean squared error (RMSE) of an estimated data item from the census provides a measure of the error

variation in the value of that estimated data item based on all possible outcomes of the census collection, including varian ts as to who was on the census list, who returned a census form, and which weights were chosen to be rounded up. The RMSE

was used rather than the standard error because it could capture additional error arising from integerization and the potential for bias in the calibration targets. The RMSE is the square root of the sum of the weighted differences between the final recorded value and its expected value squared divided by the number of reports.

Table B presents the fully adjusted total with the root mean squared error for selected items. The relative root mean squared error is obtained by dividing the root mean squared error by the value of the estimate and then multiplying by 100. The table also includes the percent contribution to the mean squared error (the square of the root mean squared error) from nonresponse adjustment and from coverage adjustment.

NONMEASURED CENSUS ERROR

As noted in the previous section, sampling errors can be introduced from the nonresponse and coverage adjustment procedures. This error is measureable. However, nonsampling errors are imbedded in the census process which cannot be directly measured as part of the design of the census but must be

contained to ensure an accurate count. Extensive efforts were made to compile a complete and accurate mail list for the census, to elicit response to

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# the census, to design an understandable report form with clear instructions, to minimize processing errors through the use of quality control measures, to reduce matching error associated with the dual frame estimation process, and to minimize error associated with identification of a respondent as a farm operation (referred to as cl assification error). The weight adjustment a nd tabulation processes recognize the presence of nonsampling errors, however, it is assumed that these errors are small and that, in total, the net effect is zero. In other words, the positive errors cancel the negative errors.

Census Response Rate

The response rate is an indicator of the quality of a data collection. It is generally assumed that if a response rate is close to a full participation level of 100 percent, the potential for nonresponse bias is small. The response rate for the 2007 Census of Agriculture is 85.2 percent as compared with a response rate of 88.0 for the 2002 Census of Agriculture and 86.2 percen t for the 1997 Census of Agriculture. There was no effort to measure nonresponse bias for the census. However, the

census will be used to measure nonresponse bias in NASS surveys.

The response rate for the 2007 Census of Agriculture

was calculated as the ratio of the total respondents after data collection was completed to the number of

CML records after those that were undeliverable-asaddressed were removed. The total respondents consisted of three groups – those respondents not eligible for the nonrespons e survey, those in the universe for the nonresponse survey but who responded prior to the selection of the nonresponse survey sample, and an estimate of the potential respondents in the nonresponse survey sample universe from the response rate to the nonresponse survey. Additional details of the nonresponse study

are found in the sect ion on “Whole Farm Nonresponse Estimation.”

Respondent and Enumerator Error

Incorrect or incomplete responses to the census report form or to the questions posed by an

enumerator can introduce e rror into the census data. Steps were taken in the design and execution of the census of agriculture to reduce errors from respondent reporting. Poor instructions and ambiguous definitions lead to misreporting. Respondents may not remember accurately, may give rounded numbers, or may record an item in the wrong cell. To reduce re porting and recording errors, the report form was tested prior to the census using industry accepted cogni tive testing procedures and detailed instructions for completing the report form were provided to each respondent. Questions were phrased as clearly as possible based on previous tests of the repo rt form. Computer-assisted telephone interviewing software included immediate integrity checks of recorded responses so suspect

data could be verified or corrected. In addition, each respondent’s answers were checked for completeness and consistency by the complex edit and imputation system.

Processing Error

Processing of each census report form was another potential source of nonsampling error. All mail returns that included multiple reports, respondent remarks, or that were ma rked out of business and report forms with no reported data were sent to an analyst for verification a nd appropriate action. Integrity checks were pe rformed by the imaging system and data transfer f unctions. Standard quality control procedures were in place that required that randomly selected batches of data keyed from image be re-entered by a different operator to verify the work and evaluate key entry operators. All systems and programs were thoroughl y tested before going

on-line and were mon itored throughout the processing period.

Developing accurate processing methods is complicated by the complex structure of agriculture. Among the complexities are the many places to be included, the variety of arrangements under which farms are operated, the c ontinuing changes in the relationship of operators to the farm operated, the expiration of leases and the initiation or renewal of leases, the problem of obt aining a complete list of agriculture operations, the difficulty of contacting and identifying some types of contractor/contractee relationships, the operator’s absence from the farm during the data collection period, and the operator’s opinion that part or all of the operation does not

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# qualify and should not be included in the census. During data collection and pr ocessing of the census, all operations underwent a number of quality control

checks to ensure results were as accurate as possible.

Item Nonresponse

All item nonresponse actions provide another opportunity to introduce nonsampling errors. Regardless of whether it was previously reported data, administrative da ta, the nearest neighbor algorithm, or manually imputed by an analyst, some risk exists that the imputed value does not equal the actual value. Previously reported and administrative data were used only when th ey related to the census reference period. A ne w nearest neighbor was randomly selected for each incident to eliminate the

chance of a consistent bias.

Matching Error

The process of building and expanding the CML involves finding new list sources and checking for names not on the list. An automated processing system compared each new name to the existing

CML names and “linked” like records for the purpose of preventing duplication. New names with strong links to a CML na me were discarded and those with no links were added as potential farms. Names with weak links, possible matches, were reviewed by staff to determine whether the new name should be added. Despite this thorough review, some new names may have been erroneously

added or deleted. Additions could contribute to duplication (overcoverage) where as deletions could contribute to undercoverage. As a result, some names received more than one report form, and some farm operators did not receive a report form. Respondents were instructed to complete one form and return all forms so the duplication could be

removed.

Another chance for error came when comparing June Area Survey tract operator names to the CML. Area operators whose names were not found on the CML were part of the measure of list incompleteness, or NML. Mistakes in determining overlap status resulted in overcounts (including a tract whose operator was on the CML) or undercounts (excluding a tract whose operator wa s not on the CML). All tracts determined to not be on the list were triple checked to eliminate, or at least minimize, any error. NML tract operators were mailed a report form printed in a different color. In order to attempt to identify duplication, all respondents who received multiple report forms were instructed to complete the

CML version and return all forms so duplication

could be removed.

Classification Error

Classification error results when a response to the census is misclassified – either as a farm operation if

it does not meet the definition or not as a farm operation when it meets the definition. The definition of a farm operation in the 2007 Census of Agriculture is an oper ation that has $1,000 in agricultural sales or the potential for $1,000 in agricultural sales. A Classification Error Study (CES) has historically been conducted after the census of agriculture. The objectives of a CES are to examine the procedures used to determine farm status (in-scope or out-of- scope) to see if they are producing accurate decisions , document the sources of errors resulting in overcounts and undercounts, and recommend strategies to eliminate them from

future censuses. Classifi cation error is a component of census coverage error in addition to coverage error resulted from list incompleteness or duplication. Historicall y, measures have indicated

that the error is small. There has not been any attempt to incorporate this error measure in the coverage adjustment pro cedure for the 2007 Census of Agriculture.

Prior to 1997 a list based re-interview sample of census respondents was used to measure classification error in the census – specifically the number of farms incorrectly classified as non-farms (undercount) and the number of duplicate farms (overcount). Additionally, an area frame survey was used separately to measure the largest component of census coverage error – inco mpleteness of the census list. Following the 1997 census, NASS conducted the CES for the 11 western States of Arizona, California, Colorado, Idaho, Montana, Nevada, New Mexico, Oregon, Utah, Washington, and Wyoming.

The 1997 CES used information from the June Area Survey (JAS) enumeration in lieu of re-interviews;

estimates were based on the JAS. The 1997 CES

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# results indicated a net undercount of 27,971 farms (non-farms incorrectly clas sified as farms minus duplicate farms and farms incorrectly classified as non-farms) in the eleven States. While the standard

error of this estimate is not available to determine statistical significance, even if statistically significant, it represents a relatively small portion of

the overall undercount.

Following the 2002 census, the CES similarly used an area-based approach that was conducted in all

States. The 2002 CES matched census records to JAS records to identify the differences in farm status of an operation. The JAS area frame-based survey

data were assumed to be truth and the estimates of misclassification (records which were incorrectly

classified as farms or non- farms and duplicates) were based on this assumption. The 2002 CES results

indicated a net overcount of 51,345 farms at the US level, with a standard e rror of 6,456. In this case, substantial resources were expended to estimate something relatively small. Estimates of overcount and undercount were computed but were not used to adjust totals. Results of the 2002 CES were documented in an internal NASS research report

titled “Results from th e 2002 Classification Error Study” dated April 2007.

For the 2007 Census of Agriculture, a classification error research study (CES ) was conducted in five States -- Arizona, Georgia, Minnesota, New York, and Washington. Estimates of net error were not generated, as the CES wa s quality research and

limited to the five States . Review of the 2002 CES indicated the assumption that the JAS was the truth was inappropriate and re-interviews were reinstated. The 2007 CES used data from the 2007 JAS and the 2007 census to examine farms incorrectly classified as nonfarms, nonfarms incorrectly classified as farms, and to examine records with significant discrepancies in reporting of land between the JAS and census reports. The ove rall objectives of the 2007 CES were to identify legitimate changes in operations and determine the source of potential

errors in the data.

Records in the 2007 JAS were matched to the 2007 census using probabilistic re cord linkage. From the set of matched records, thr ee groups of interest wereidentified: 1) in-scope JAS records that were out-ofscope on the census, 2) census in-scope and JAS non-agricultural records, a nd 3) in-scope census and JAS records with acreage di fferences of more than 25 percent. Farms whose farm status was in disagreement were interviewed to determine which source was correct; a reason for the change of status

on the census was recorded. For records with a discrepancy between the data reported on the 2007 JAS and the 2007 census forms, respondents were

re-contacted and asked to verify their data and

resolve the difference.

Results of the 2007 CES showed that true changes in size of operations between the JAS and census were rare. Most discrepancies in farm status were the result of errors in reporting with respondents indicating most often that the census data rather than the JAS data were correct, challenging the previous assumption that the JAS data was the truth. Results of the 2007 CES will be used as input for redesign efforts for the JAS operational procedures and the 2012 census report form and instructions.

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# Table A. 

# Summary of State Nonresponse and Coverage Adjustments: 2007

[For meaning of abbreviations and symbols, see introductory text]

Item Total Percent from

nonresponse adjustment Percent from

coverage adjustment Item Total Percent from

nonresponse adjustment Percent from

coverage adjustment

Farms .....................................................number Land in farms .............................................acres

Farms by size:

1 to 9 acres ............................................farms

acres 10 to 49 acres ........................................farms

acres 50 to 69 acres ........................................farms

acres 70 to 99 acres ........................................farms

acres 100 to 139 acres ....................................farms

acres 140 to 179 acres ....................................farms

acres 180 to 219 acres ....................................farms

acres 220 to 259 acres ....................................farms

acres 260 to 499 acres ....................................farms

acres 500 to 999 acres ....................................farms

acres 1,000 to 1,999 acres ..............................farms

acres 2,000 acres or more ...............................farms

acres

Market value of agricultural products sold .........................................$1,000

Farms by value of sales:

Less than $1,000 ...................................farms $1,000 $1,000 to $2,499 ....................................farms $1,000 $2,500 to $4,999 ....................................farms $1,000 $5,000 to $9,999 ....................................farms $1,000 $10,000 to $19,999 ................................farms $1,000 $20,000 to $24,999 ................................farms 1,000 $25,000 to $39,999 ................................farms $1,000 $40,000 to $49,999 ................................farms $1,000 $50,000 to $99,999 ................................farms $1,000 $100,000 to $249,999 ............................farms $1,000 $250,000 to $499,999 ............................farms $1,000 $500,000 to $999,999 ............................farms $1,000 $1,000,000 or more ...............................farms $1,000

Farms by type of organization:

Family or individual ................................farms

acres Partnership ............................................farms

acres Corporation: Family held ........................................farms

acres Other than family held ........................farms

acres Other - cooperative, estate or trust, institutional, etc. ..........................farms

acres 81,033 25,364,695

25,278 100,816 28,080 637,914

3,776 217,567

3,678 300,943

3,067 353,529

2,418 381,684

1,626 321,033

1,305 310,154

4,083 1,461,559 3,267 2,280,819 2,194 2,999,788 2,26 1 15,998,889

33,885,064

18,111 2,219 5,854 9,652 6,548 23,510 7,208 51,093 7,761 108,885

2,720 59,120 5,081 158,823

2,497 108,929

6,212 435,855

6,544 1,026,860 3,917 1,361,005 2,938 2,080,888 5,642 28,458,225

64,001 12,828,975 9,552 7,085,500

4,603 3,340,414 1,147 1,168,852

1,730 940,954 15.5 7.1

17.6 17.1 16.5 16.5 15.6 15.7 15.9 15.8 14.3 14.3 13.0 13.0 13.2 13.2 13.6 13.6 11.8 11.6 10.3 10.2 8.8 8.7 7.5 4.6

3.0

12.5 12.9 17.3 17.4 19.1 19.0 19.1 19.2 19.1 19.1 20.3 20.2 18.6 18.5 18.5 18.4 19.1 18.9 16.7 16.4 13.6 13.3 9.2 8.9 2.7 1.1

16.3 9.6 12.9 5.3

11.6 2.8 12.4 3.6

13.7 5.4 20.3 3.1

25.9 27.2 24.7 23.3 18.1 17.9 15.5 15.6 13.6 13.6 14.7 14.8 12.4 12.4 9.3 9.3 7.1 6.9 5.8 5.6 5.1 5.1 -0 .8 -0.2

1.5

45.3 43.8 25.2 24.7 17.6 17.5 16.6 16.4 17.4 17.4 16.4 16.4 17.3 17.3 16.6 16.5 7.9 8.1 6.8 6.9 4.3 4.4 2.5 2.5 2.0 0.7

22.5 3.5 12.8 2.3

7.7 2.7 14.2 0.4

14.1 8.7 Tenure:

Full owners ...........................................farms

acres P art owners ..........................................farms

acres Tenants ................................................farms

acres

Principal operator characteristics by-

Sex of operator:

Male .................................................farms

acres Female .............................................farms

acres Primary occupation:

Farming ............................................farms Other ................................................farms

Spanish, Hispanic, or Latino origin (see text) ........................farms

acres Race:

American Indian or Alaska Native .................................farms

acres Asian ................................................farms

acres Black or African American ................farms

acres Native Hawaiian or Other Pacific Islander .....................farms

acres White ................................................farms

acres More than one race reported ............farms

acres

Reporting primary occupation as farming by age group:

Under 25 years ................................farms 25 to 34 years ..................................farms 35 to 44 years ..................................farms 45 to 54 years ..................................farms 55 to 64 years ..................................farms 65 years and over ............................farms

Reporting primary occupation as other than farming by age group:

Under 25 years ................................farms 25 to 34 years ..................................farms 35 to 44 years ..................................farms 45 to 54 years ..................................farms 55 to 64 years ..................................farms 65 years and over ............................farms

All operators by age group 1 :

Under 25 years ....................................farms 25 to 34 years ......................................farms 35 to 44 years ......................................farms 45 to 54 years ......................................farms 55 to 64 years ......................................farms 65 to 74 years ......................................farms 75 years and over ................................farms 63,777 10,082,984 9,843 11,480,879 7,413 3,800,832

66,068 23,305,862 14,965 2,058,833

40,910 40,123

9,118 1,444,764

1,178 322,996

3,684 423,116 320 26,304

183 38,280 75,021 24,309,092 647 244,907

157 1,341 3,754 9,356 11,593 14,709

135 1,125 4,525 11,316 12,601 10,421

1,574 5,969 15,817 34,169 36,623 21,028 11,947 16.2 8.4 11.9 5.0 14.8 9.6

15.3 6.5 16.6 13.1

14.1 17.0

14.5 6.5

9.4 4.6 14.8 4.8 19.4 15.6

18.6 2.9 15.6 7.2 15.5 4.6

15.3 15.7 14.9 14.1 13.5 14.1

13.3 15.1 18.0 16.7 16.9 17.2

15.2 14.2 15.4 15.2 15.0 15.3 15.4 22.2 6.5 10.7 0.7 16.5 1.3

19.0 3.0 25.7 4.9

17.2 23.4

43.6 14.8

56.5 16.7 22.0 10.6 25.3 23.5

15.8 2.8 19.6 2.8 23.2 2.0

35.0 26.5 18.6 16.6 17.4 16.0

44.4 37.1 26.7 25.6 22.5 18.8

31.0 25.1 22.0 21.0 20.5 18.7 15.0

1 Data were collected for a maximum of three operators per farm.

# 2007 CENSUS OF AGRICULTURE APPENDIX A A-15

USDA, National Agricultural Statistics Service 

# Table B. 

# Reliability Estimates of State Totals: 2007

[For meaning of abbreviations and symbols, see introductory text]

Item Total Root mean squared error

(RMSE) Relative RMSE (percent) Nonresponse contribution

to MSE (percent) Coverage adjustment contribution

to MSE (percent)

Farms ........................................................................................................... number Land in farms ...................................................................................................acres

Farms by size:

1 to 9 acres ................................................................................................. farms

acres 10 to 49 acres ............................................................................................. farms

acres 50 to 69 acres ............................................................................................. farms

acres 70 to 99 acres ............................................................................................. farms

acres 100 to 139 acres ......................................................................................... farms

acres 140 to 179 acres ......................................................................................... farms

acres 180 to 219 acres ......................................................................................... farms

acres 220 to 259 acres ......................................................................................... farms

acres 260 to 499 acres ......................................................................................... farms

acres 500 to 999 acres ......................................................................................... farms

acres 1,000 to 1,999 acres ................................................................................... farms

acres 2,000 acres or more .................................................................................... farms

acres

Market value of agricultural products sold ..................................................... $1,000

Farms by value of sales:

Less than $1,000 ......................................................................................... farms $1,000 $1,000 to $2,499 ......................................................................................... farms $1,000 $2,500 to $4,999 ......................................................................................... farms $1,000 $5,000 to $9,999 ......................................................................................... farms $1,000 $10,000 to $19,999 ..................................................................................... farms $1,000 $20,000 to $24,999 ..................................................................................... farms 1,000 $25,000 to $39,999 ..................................................................................... farms $1,000 $40,000 to $49,999 ..................................................................................... farms $1,000 $50,000 to $99,999 ..................................................................................... farms $1,000 $100,000 to $249,999 ................................................................................. farms $1,000 $250,000 to $499,999 ................................................................................. farms $1,000 $500,000 to $999,999 ................................................................................. farms $1,000 $1,000,000 or more ..................................................................................... farms $1,000

Farms by type of organization:

Family or individual ..................................................................................... farms

acres Partnership .................................................................................................. farms

acres Corporation: Family held .............................................................................................. farms

acres Other than family held ............................................................................. farms

acres Other - cooperative, estate or trust, institutional, etc. .................................. farms

acr es

Tenure:

Full owners .................................................................................................. farms

acres Part owners ................................................................................................. farms

acres Tenants ....................................................................................................... farms

acres

Principal operator characteristics by-

Sex of operator:

Male ........................................................................................................ farms

acres Female .................................................................................................... farms

acres Primary occupation:

Farming ................................................................................................... farms Other ....................................................................................................... farms

Spanish, Hispanic, or Latino origin (see text) .............................................. farms

acres 81,033 25,364,695

25,278 100,816 28,080 637,914

3,776 217,567

3,678 300,943

3,067 353,529

2,418 381,684

1,626 321,033

1,305 310,154

4,083 1,461,559 3,267 2,280,819 2,194 2,999,788 2,261 15,998,889

33,885,064

18,111 2,219 5,854 9,652 6,548 23,510 7,208 51,093 7,761 108,885

2,720 59,120 5,081 158,823

2,497 108,929

6,212 435,855

6,544 1,026,860 3,917 1,361,005 2,938 2,080,888 5,642 28,458,225

64,001 12,828,975 9,552 7,085,500

4,60 3 3,340,414 1,147 1,168,852 1,730 940,954

63,777 10,082,984 9,843 11,480,879 7,413 3,800,832

66,068 23,305,862 14,965 2,058,833

40,910 40,123

9,118 1,444,764 968 467,854

401 1,627

410 9,630

90 5,193

88 7,262

77 8,914

66 10,420 50 9,875

42 9,961

84 30,099 70 49,644 52 70,973 47 420,466

457,917

722 105 331 550 209 755 221 1,569

242 3,404

96 2,093

162 5,053

89 3,896

248 17,425

229 35,920

122 42,424

104 72,700 91 418,136

795 276,320 157 272,031

88 102,671 42 115, 809 50 95,121

790 237,421 155 322,582 152 134,691

963 445,808 580 120,651

525 534

595 90,715 1.2 1.8

1.6 1.6 1.5 1.5 2.4 2.4 2.4 2.4 2.5 2.5 2.7 2.7 3.1 3.1 3.2 3.2 2.1 2.1 2.2 2.2 2.4 2.4 2.1 2.6

1.4

4.0 4.8 5.7 5.7 3.2 3.2 3.1 3.1 3.1 3.1 3.5 3.5 3.2 3.2 3.6 3.6 4.0 4.0 3.5 3.5 3.1 3.1 3.6 3.5 1.6 1.5

1.2 2.2 1.6 3.8

1.9 3.1 3.7 9.9 2.9 10.1

1.2 2.4 1.6 2.8 2.0 3.5

1.5 1.9 3.9 5.9

1.3 1.3

6.5 6.3 0.9 52.8

6.1 9.0 6.1 7.2 20.3 20.3 19.7 19.8 20.9 21.0 23.1 23.1 25.4 25.4 27.0 27.1 18.7 19.1 19.5 19.4 23.9 24.5 24.4 65.6

70.6

0.6 7.3 1.3 1.5 5.5 5.7 5.4 5.7 4.9 5.1 12.7 12.7 7.9 7.9 13.4 13.4 2.8 2.9 3.2 3.5 6.9 7.1 6.8 7.2 11.3 85.7

1.8 42.3 13.8 84.4

19.8 75.9 35.2 93.5 27.9 45.4

1.9 53.6 13.5 77.8 14.3 42.6

0.9 56.1 1.0 30.9

4.0 4.3

0.6 69.2 99.1 47.2

93.9 91.0 93.9 92.8 79.7 79.7 80.3 80.2 79.1 79.0 76.9 76.9 74.6 74.6 73.0 72.9 81.3 80.9 80.5 80.6 76.1 75.5 75.6 34.4

29.4

99.4 92.7 98.7 98.5 94.5 94.3 94.6 94.3 95.1 94.9 87.3 87.3 92.1 92.1 86.6 86.6 97.2 97.1 96.8 96.5 93.1 92.9 93.2 92.8 88.7 14.3

98.2 57.7 86.2 15.6

80.2 24.1 64.8 6.5 72.1 54.6

98.1 46.4 86.5 22.2 85.7 57.4

99.1 43.9 99.0 69.1

96.0 95.7

99.4 30.8

See footnote(s) at end of table. --continued

# A-16 APPENDIX A 2007 CENSUS OF AGRICULTURE

USDA, National Agricultural Statistics Service 

# Table B. 

# Reliability Estimates of State Totals: 2007 - Con.

[For meaning of abbreviations and symbols, see introductory text]

Item Total Root mean squared error

(RMSE) Relative RMSE (percent) Nonresponse contribution

to MSE (percent) Coverage adjustment contribution

to MSE (percent)

Principal operator characteristics by- Con.

Race:

American Indian or Alaska Native ............................................................ farms

acres Asian ........................................................................................................ farms

acres Black or African American ....................................................................... farms

acres Native Hawaiian or Other Pacific Islander ............................................... farms

acres White ....................................................................................................... farms

acres More than one race reported ................................................................... farms

acres

Reporting primary occupation as farming by age group:

Under 25 years ........................................................................................ farms 25 to 34 years .......................................................................................... farms 35 to 44 years .......................................................................................... farms 45 to 54 years .......................................................................................... farms 55 to 64 years .......................................................................................... farms 65 years and over .................................................................................... farms

Reporting primary occupation as other than farming by age group:

Under 25 years ........................................................................................ farms 25 to 34 years .......................................................................................... farms 35 to 44 years .......................................................................................... farms 45 to 54 years .......................................................................................... farms 55 to 64 years .......................................................................................... farms 65 years and over .................................................................................... farms

All operators by age group 1 :

Under 25 years ............................................................................................ farms 25 to 34 years .............................................................................................. farms 35 to 44 years .............................................................................................. farms 45 to 54 years .............................................................................................. farms 55 to 64 years .............................................................................................. farms 65 to 74 years .............................................................................................. farms 75 years and over ........................................................................................ farms

Net cash farm income of operations (see text):

Farms with gains of 2

-

Less than $1,000 ..................................................................................... farms $1,000 $1,000 to $4,999 ...................................................................................... farms $1,000 $5,000 to $9,999 ...................................................................................... farms $1,000 $10,000 to $24,999 .................................................................................. farms $1,000 $25,000 to $49,999 .................................................................................. farms $1,000 $50,000 or more ...................................................................................... farms $1,000

Farms with losses of -

Less than $1,000 ..................................................................................... farms $1,000 $1,000 to $4,999 ...................................................................................... farms $1,000 $5,000 to $9,999 ...................................................................................... farms $1,000 $10,000 to $24,999 .................................................................................. farms $1,000 $25,000 to $49,999 .................................................................................. farms $1,000 $50,000 or more ...................................................................................... farms $1,000 1,178 322,996

3,684 423,116 320 26,304

183 38,280 75,021 24,309,092 647 244,907

157 1,341 3,754 9,356 11,593 14,709

135 1,125 4,525 11,316 12,601 10,421

1,574 5,969 15,817 34,169 36,623 21,028 11,947

2,028

954 5,232 14,497 3,567 25,959 5,792 95,323 4,443 159,895 14,033 9,60 8,267

2,626 1,290 10,484 30,850 9,022 65,613 11,115 179,418

5,866 204,678

6,825 1,439,817 248 61,111

233 22,911 24 5,754

16 12,574

953 460,311 34 37,319

42 118 90 163 187 221

38 105 109 195 212 186

107 282 269 475 510 313 203

67 35 130 372 101 749 147 2,427

116 4,242

258 138,158

77 42 204 621 185 1,364

222 3,641

137 4,790

128 23,976 21.1 18.9 6.3 5.4 7.6 21.9 8.8 32.8 1.3 1.9 5.2 15.2

26.8 8.8 2.4 1.7 1.6 1.5

28.1 9.4 2.4 1.7 1.7 1.8

6.8 4.7 1.7 1.4 1.4 1.5 1.7

3.3 3.6 2.5 2.6 2.8 2.9 2.5 2.5 2.6 2.7 1.8 1.4

2.9 3.3 1.9 2.0 2.1 2.1 2.0 2.0 2.3 2.3 1.9 1.7 0.3 35.4 1.7 32.9 33.6 25.2 37.5 93.9 1.0 53.3 30.1 94.0

4.0 4.2 22.6 14.9 13.0 10.4

4.3 5.0 22.9 15.0 12.3 12.2

8.7 3.8 15.0 8.2 6.9 10.3 12.4

19.2 21.0 12.7 13.9 15.0 15.3 10.6 11.4 12.8 12.7 4.7 62.4

21.9 23.8 11.8 13.2 13.5 13.8 11.2 11.8 17.1 17.6 18.9 63.3 99.7 64.6 98.3 67.1 66.4 74.8 62.5 6.1 99.0 46.7 69.9 6.0

96.0 95.8 77.4 85.1 87.0 89.6

95.7 95.0 77.1 85.0 87.7 87.8

91.3 96.2 85.0 91.8 93.1 89.7 87.6

80.8 79.0 87.3 86.1 85.0 84.7 89.4 88.6 87.2 87.3 95.3 37.6

78.1 76.2 88.2 86.8 86.5 86.2 88.8 88.2 82.9 82.4 81.1 36.7

1 Data were collected for a maximum of three operators per farm.

2 Farms with zero net cash income are included as farms with gains of less than $1,000.

# 2007 CENSUS OF AGRICULTURE APPENDIX A A-17

USDA, National Agricultural Statistics Service 

# Table C. 

# Summary of Nonresponse and Coverage Adjustments by County: 2007

[For meaning of abbreviations and symbols, see introductory text]

All farms Land in farms Sales

Geographic area Total (number) Nonresponse adjustment (percent) Coverage adjustment (percent) Total (acres) Nonresponse adjustment (percent) Coverage adjustment (percent) Total ($1,000) Nonresponse adjustment (percent) Coverage adjustment (percent)

STATE TOTAL

California ............................................................

COUNTIES

Alameda ............................................................. Alpine ................................................................. Amador ............................................................... Butte ................................................................... Calaveras ........................................................... Colusa ................................................................ Contra Costa ...................................................... Del Norte ............................................................ El Dorado ........................................................... Fresno ................................................................

Glenn ................................................................. Humboldt ............................................................ Imperial .............................................................. Inyo .................................................................... Kern ................................................................... Kings .................................................................. Lake ................................................................... Lassen ................................................................ Los Angeles ....................................................... Madera ...............................................................

Marin .................................................................. Mariposa ............................................................ Mendocino .......................................................... Merced ............................................................... Modoc ................................................................ Mono .................................................................. Monterey ............................................................ Napa .................................................................. Nevada ............................................................... Orange ...............................................................

Placer ................................................................. Plumas ............................................................... Riverside ............................................................ Sacramento ........................................................ San Benito .......................................................... San Bernardino .................................................. San Diego .......................................................... San Francisco .................................................... San Joaquin ....................................................... San Luis Obispo .................................................

San Mateo .......................................................... Santa Barbara .................................................... Santa Clara ........................................................ Santa Cruz ......................................................... Shasta ................................................................ Sierra ................................................................. Siskiyou .............................................................. Solano ................................................................ Sonoma .............................................................. Stanislaus ...........................................................

Sutter ................................................................. Tehama .............................................................. Trinity ................................................................. Tulare ................................................................. Tuolumne ........................................................... Ventura ............................................................... Yolo .................................................................... Yuba ................................................................... 81,033

525

7 479 2,048

631 814 634 85 1,268 6,081

1,242

852 452 94 2,117 1,129

845 459 1,734 1,708

255 302 1,136 2,607

448 84 1,19 9 1,638

690 325

1,488

142 3,463 1,393

625 1,405 6,687 6 3,624 2,784

329 1,597 1,068

682 1,473

50 846 890 3,429 4,114

1,263 1,752

181 5,240

366 2,437

983 828 15.5

18.1 14.3 17.5 16.1 16.8 15.0 15.8 14.1 16.2 14.8

15.0 15.7 10.2 13.8 12.6 12.3 17.3 15.9 14.9 13.9

15.7 15.2 16.1 13.7 15.4 13.1 12.8 17.2 15.5 14.8

14.7 12.0 16.5 13.9 15.0 14.8 19.4 33.3 15.1 15.6

14.3 15.5 16.2 15.4 15.3 18.0 14.8 14.8 16.4 14.9

15.7 16.0 15.5 15.0 15.0 16.0 14.0 14.4 20.3

20.4 0.0 18.8 19.9 24.6 14.7 27.8 24.7 27.3 19.1

16.3 17.8 15.3 20.2 18.6 17.9 19.9 24.2 36.4 17.6

9.4 26.5 18.1 15.4 16.1 32.1 20.0 8.7 29.0 23.7

30.6 35.9 26.9 27.8 24.0 26.5 18.3 0.0 14.1 22.0

23.7 18.2 22.7 17.0 30.1 20.0 22.1 22.5 16.4 18.3

14.5 24.6 28.2 18.1 25.1 17.4 19.4 25.5 25,3 64,695

204,633

1,810 163,482 373,786 201,026 474,092 146,993 18,168 107,080 1,636,224

489,186 597,477 427,349 292,552 2,361,765

680,662 124,199 459,126 108,463 679,729

133,275 212,524 608,674 1,041,115

597, 740 44,610 1,327,972

223,246 70,167 87,435

132,221 120,253 354,753 328,593 579,851 514,234 303,889 7 737,503 1,369,604

57,089 727,050 299,866 47,489 390,812 28,782 597,534 358,225 530,895 788,954

359,802 532,206 124,943 1,168,684

117,085 259,055 479,858 160,898 7.1

12.0 6.6 7.3 9.6 14.3 6.0 13.6 9.9 16.8 5.2

6.9 6.0 2.2 3.4 5.1 1.9 10.5 8.9 9.0 5.0

13.7 11.1 8.6 3.4 12.0 4.7 4.4 6.3 39.1 0.6

15.0 3.4 4.9 14.5 9.1 1.3 16.4 28.6 4.3 7.3

24.3 8.4 6.4 6.3 14.0 14.8 7.2 4.9 8.4 7.4

7.5 9.3 6.0 6.8 20.1 12.4 6.6 7.9 3.1

-0 .8 5.2 1.3 4.7 -5.0 6.0 2.4 2.8 10.7 5.7

4.3 -0.9 4.7 -0.1 -0.2 1.8 6.1 0.1 18.7 2.1

-6.8 5.2 4.9 2.6 -1.9 9.3 6.8 3.6 -20.2

3.4

8.0 3.8 5.9 2.9 -0.7 3.2 3.6 0.0 4.3 7.4

2.8 2.0 1.3 14.0 1.2 0.5 5.0 3.1 2.6 0.8

7.6 3.2 2.9 2.0 -0.7 4.9 6.4 6.5 33,885,064

50,358 (D) 20,701 342,766 16,498 386,300 70,810 32,508 19,948 3,730,546

405,439 149,844 1,290,253

14,452 3,204,147 1,358,410

61,102 55,504 325,880 990,121

57,8 71 11,464 122,408 2,330,408

70,811 9,770 2,178,470

376,868

9,468 336,390

44,968 (D) 1,012,041

346,139 222,861 743,661 1,054,182 644 1,564,354

560,607

135,550 951,326 235,927 447,417 44,675 2,003 136,392 244,295 647,579 1,820,564

317,607 142,958

3,167 3,335,014

18,653 1,316,315

384,219 112,909 3.0

13.0 (D) 5.9 8.0 7.4 5.6 6.2 2.6 11.3 2.3

7.0 5.8 0.8 9.4 1.4 1.7 11.8 5.1 6.3 3.5

3.7 9.4 8.1 2.1 11.0 5.0 1.1 5.2 19.4 1.5

13.8 (D) 3.3 5.1 4.2 3.4 6.1 5.9 3.3 4.1

4.0 3.4 2.4 2.7 20.9 15.8 3.8 2.5 4.9 3.3

6.3 9.0 5.0 2.7 3.4 2.2 2.7 4.4 1.5

1.8 (D) 4.9 3.6 6.0 5.1 3.0 -1 .9 5.7 3.1

3.0 -0.8 1.4 -2.9 0.2 1.0 1.1 0.0 2.4 1.2

-1.8 2.4 1.3 1.1 -1.1 6.7 0.4 1.2 7.3 1.3

5.2 (D) 3.6 1.4 -0.3 0.7 3.6 0.0 1.5 1.7

-0.3 1.3 0.7 1.8 -10.2 -0.4 0.0 2.3 1.7 0.7

4.7 3.4 7.7 0.7 -0.8 1.9 3.6 5.1

# A-18 APPENDIX A 2007 CENSUS OF AGRICULTURE

USDA, National Agricultural Statistics Service 

# Table D. 

# American Indian or Alaska Native Operators: 2007

[For meaning of abbreviations and symbols, see introductory text]

American Indian or Alaska Native farm operators American Indian or Alaska Native farm operators Geographic area Total Individually reported 1 Other 2 Geographic area Total Individually reported 1 Other 2

STATE TOTAL

California ............................................

COUNTIES

Alameda ............................................. Alpine .................................................. Amador ............................................... Butte ................................................... Calaveras ........................................... Colusa ................................................ Contra Costa ...................................... Del Norte ............................................ El Dorado ............................................ Fresno ................................................

Glenn .................................................. Humboldt ............................................ Imperial ............................................... Inyo ..................................................... Kern .................................................... Kings ................................................... Lake .................................................... Lassen ................................................ Los Angeles ........................................ Madera ...............................................

Marin ................................................... Mariposa ............................................. Mendocino .......................................... Merced ................................................ Modoc ................................................. Mono ................................................... Monterey ............................................. 2,679

24

- 7 87 18 26 11 19 52 170

26 59 7 8 94 15 36 29 41 80

1 7 42 59 13 6 42 2,637

24

- 7 87 18 26 11 19 52 170

19 59 7 8 94 15 36 29 41 80

1 7 42 59 13 6 42 42

-

-

-

-

-

-

-

-

-

-

7

-

-

-

-

-

-

-

-

-

-

-

-

-

-

-

- COUNTIE S - Con.

Napa ................................................. Nevada .............................................. Orange .............................................. Placer ................................................ Plumas .............................................. Riverside ........................................... Sacramento ....................................... San Benito ........................................ San Bernardino ................................. San Diego .........................................

San Francisco ................................... San Joaquin ...................................... San Luis Obispo ................................ San Mateo ......................................... Santa Barbara ................................... Santa Clara ....................................... Santa Cruz ........................................ Shasta ............................................... Sierra ................................................ Siskiyou .............................................

Solano ............................................... Sonoma ............................................. Stanislaus ......................................... Sutter ................................................ Tehama ............................................. Trinity ................................................ Tulare ................................................ Tuolumne .......................................... Ventura ............................................. Yolo ................................................... Yuba ................................................. 16 27 11 56 13 111 49 32 68 210

- 95 77 6 25 11 25 88 4 45

19 68 132 47 90 40 212 16 33 28 46 16 27 11 56 13 91 49 32 68 210

- 95 77 6 25 11 25 88 4 45

19 68 132 47 90 40 197 16 33 28 46 -

-

-

-

- 20

-

-

-

-

-

-

-

-

-

-

-

-

-

-

-

-

-

-

-

- 15

-

-

-

-

1 Data were collected for a maximum of three operators per farm.

2 Data represent American Indian or Alaska Native farm or ranch operators on reservations who did not report individually. Data obtained from reservation officials.

# 2007 CENSUS OF AGRICULTURE APPENDIX B B-1

USDA, National Agricultural Statistics Service 

# Appendix B. General Explanation and Census of Agriculture Report Form

DEVELOPMENT OF THE CENSUS REPORT FORMS

Prior to release of the re sults from the 2002 Census of Agriculture, NASS was preparing for the 2007 Census of Agriculture. The first team established

was the 2007 Census Content Team. This team was

tasked with content determ ination and report form development. They reviewed the 2002 report form content, solicited input from internal and external customers, developed criteria for determining acceptance and/or rejecti on of content for the 2007 Census of Agriculture report forms, tested the effectiveness of the report forms for various modes of data collection (mail, telephone, personal interview, and electronic data reporting), and made

recommendations to NASS senior executives for

final determination.

Throughout development NASS sought advice and input from the data user community. Integral partners included the Advisory Committee on Agriculture Statistics, State departments of agriculture and other Stat e government officials, Federal agency officials, land grant universities, agricultural trade associations, media, and various Community Based Organizations.

NASS conducted the 2005 Ce nsus of Agriculture Content Test in early 2006. The test consisted of three phases: cognitive pr etesting, national mail-out, and follow-up interviews. Results from the testing produced two final report form types -- a 24-page regionalized form with 7 versions (07-A0201 thru 07-A0207 regional forms and an 07-A0200 general version) and a 12-page national form version (07- A0100). The main difference between the form types is the format used to collect crop and livestock information. The regionalized report forms include crop sections designed to facilitate reporting crops most commonly grown within a report form region. Many items in these sections are either prelisted in

the tables or listed below the tables. The national report form collected the same information as the regionalized forms, but it was formatted to fit on fewer pages. It includes an open table format to collect crop and livestock information. Respondents had to write in their crops and/or livestock information. A sample copy of the regionalized report form and instruction sheet is included in this appendix.

DATA CHANGES

Following are descriptions of the report form changes and their effect on the publication tables.

Crop Data Changes

Deleted items include:

• Other nursery and greenhouse category.

• Production and acres irrigated for potatoes.

• Production and acres irriga ted for sweet potatoes.

• Production and acres irrigated for ginseng.

Added items include:

• Acres of individual vegeta ble crops harvested for

fresh market.

• Acres harvested for fresh market and for processing for potatoes, sweetpotatoes, and ginseng.

• Acres irrigated for short rotation woody crops.

• Acres irrigated for cut Christmas trees.

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# • Acres on which berries were grown.

• Total acres grown and acr es not harvested for individual berry crops.

• Sales of mushroom spawn.

Items listed separately on the 2007 report form that were reported in conjuncti on with similar crop items on the 2002 report form include:

• Horseradish was listed sepa rately and is no longer included in Other vegetables.

• Total acres, acres harvested, and acres not harvested for boysenberries and currants were listed separately and no l onger included in Other

berries.

• Pluots were listed separa tely and are no longer

included in Other noncitrus fruit.

• Chestnuts were listed separately and are no longer

included in Other nuts.

• Pecans were divided into Pecans, improved and Pecans, native and seedling.

• Squash was divided into summer squash and winter squash.

• Cuttings, seedlings, liners, and plugs were listed as one item and are no longer included in Other nursery and greenhouse.

• Tobacco transplants were listed separately and are no longer included in Other nursery and greenhouse.

• Greenhouse vegetables were divided into greenhouse tomatoes and other greenhouse vegetables.

• Vegetable transplants were listed separately and are no longer included in Other nursery and greenhouse.

• Greenhouse fruits and berries were listed separately and are no l onger included in Other nursery and greenhouse. • Other floriculture and be dding plants were listed as an item and are no longer included in Other nursery and greenhouse.

Items combined with another item(s) on the 2007 report form that were reported individually on the 2002 report form include:

• Amaranth, foxtail millet seed, lotus root, mungbeans, redtop seed, salt hay, sweetclover seed, and sweet rice were included in other field

crops.

• K-early citrus was included in Other citrus.

• Pimientos were included in Other vegetables.

• Mixed vegetables were included in Other vegetables.

Livestock and Poultry Data Changes

Deleted items include:

• Two hog and pig size groups within the 5,000 or more head category were deleted. In 2002 there were two additional sub-groups in the 5,000 or more category; 5,000 to 7,499 and 7,500 or more.

• Two broilers and other meat type chicken groups within the 500,000 or more category were deleted. In 2002 there were two sub-groups in the 500,000 or more category; 500,000 to 749,999 and 750,000 or m ore.

• Other fish.

Added items include:

• Horses and ponies owned by this operation.

• Alpaca inventory and number sold

Items listed individually in the 2007 report form that were reported in conjunction with similar livestock or poultry items on the 2002 report form include:

• Layers 20 weeks old and older for table and hatching eggs were divide d into Table egg type layers, Hatching layers for meat-types, and hatching layers for table eggs.

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# • Turkeys were separated into Turkeys for slaughter and Turkey hens kept for breeding.

• Items combined with other item(s) on the 2007 report form that were reported individually on the 2002 report form include:

• Other fish were removed as a selection and the respondent must report in one of the fish categories listed.

Economic, Land Use, and Operator Characteristics Data Changes

Deleted items include:

• Acres of certified organically produced crops.

• Value of certified organically produced

commodities sold.

• Whether the operator lives on an American Indian

reservation.

• Computer use for the farm business.

Added items include:

• Acres used for organic production.

• Acres of organic crops harvested.

• Acres of organic pastureland.

• Total value of sales for crops produced and sold as organic.

• Total value of sales for livestock and poultry produced and sold as organic.

• Total value of sales for livestock and poultry products produced and sold as organic.

• Acres being converted to organic production.

• Sales of mushroom spawn.

• Whether the operator retired.

• Number of trucks, in cluding pickups and the

number manufactured in the last five years. • Whether the operator is a hired manager for this operation.

• Household income of the principal operator.

• Practices relating to the operation: Whether the operation had high speed In ternet access; Used 5,000 gallons of water any one day; Received irrigation water supplied by a U. S. Bureau of Reclamation project or facility; Generated energy or electricity on the farm; Used conservation farming methods; Practiced rotational or management intensive grazing; Rented grazing land on a per-head or animal unit per month (AUM) basis; Produced and sold value added crops, livestock, or products; Marketed products through a community supported agriculture (CSA) arrangement; Raised or sold veal calves; Raised or sold hair sheep or wool-hair crosses; or Had a barn that was built prior to 1960.

• Questions relating to use of American Indian Reservation land for production of crops and livestock, e.g. total acres used, acres of cropland harvested, and percent of operation’s livestock on the reservation. In the 2002 census, these questions only appeared in the regional report form for 2002 census regions 8 and 10. Data are tabulated in the 2007 Census of Agriculture Specialty Products, Part 1, American Indian

Reservations.

Items listed individually on the 2007 report form that were reported in conjunction with similar items on the 2002 report form include:

• Value of sales for grains, oilseeds, dry beans, and dry peas were divided into sales of Corn for grain, seed, or silage; W heat; Soybeans; Sorghum for grain, seed, or silage; Barley; Rice; and Other

crops.

• Other farm-related income was divided into Crop and livestock insurance payments received and

other farm-related income.

• Other Federal farm program payments were divided into Direct pa yments, Counter-cyclical payments, Other Federal agricultural program payments, and State and local government agricultural program payments.

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# DEFINITIONS AND EXPLANATIONS

The following definitions and explanations provide a detailed description of specific terms and phrases used in this publication. Items in the publication tables which carry the not e ‘‘See text’’ also are explained. Report form section number references refer to the regional versi on. Many of the definitions and explanations are the same as those used in earlier

censuses.

Acres and quantity harvested. Crops were reported in whole acres, except for the following crops that were reported in tenths of acres: tobacco, nursery and greenhouse crops in the open, vegetables including potatoes and sweet potatoes, fruit and nut crops including land in orchards, and berries; in Hawaii, taro and ginger root. Totals for crops reported in tenths of ac res were rounded to whole acres at the aggregate level during the tabulation process. Nursery and greenhouse crops grown under glass or other protection were reported in square feet and are published in square feet.

If two or more crops were harvested from the same land during the year (double cropping), the acres were counted for each crop. Therefore, the total acres of all crops harvested generally exceeded the acres of cropland harvested. An exception to this procedure was hay crops.

When more than one cutti ng of hay was taken from the same acres, the acres were counted only once for the harvesting method but the quantity harvested includes all cuttings. Acr eage cut and tons harvested for both dry hay and haylage, silage, or greenchop was reported for each crop. Fo r interplanted crops or ‘‘skip-row’’ crops, acres were reported according to the portion of the field o ccupied, whether by a crop or whether it was idle land. If a crop was interplanted in an orchard or vineyard and harvested, then the entire orchard or vineyard acreage was reported under the appropr iate fruit crop and the interplanted estimated crop acreage was reported under the appropriate crop.

If a crop was planted but not harvested, the acres were not reported as harv ested. These acres were reported in the ‘‘land’’ s ection on the report form under the appropriate cropl and items – cropland on which all crops failed or were abandoned, cropland in cultivated summer fallow, cropland idle or used for cover crops or soil-improvement but not harvested and not pastured or grazed, or cropland used only for pasture or grazing. This does not

include fruit and nut orchar ds, vineyards, berries, acres in production for cut Christmas trees, and acres in production for short rotation woody crops that were not harvested. Acreage in these commodities were included in cropland harvested whether the crop was harvested or not. Abandoned orchards were reported as cropland idle, not as harvested cropland, and the individua l abandoned orchard crop acres were not reported.

Crops that were only hogged or grazed were reported as ‘‘cropland used only fo r pasture or grazing.’’ Crop residue left in fields after the 2007 harvest and later hogged or grazed was reported as cropland harvested and not as cropland used only for pasture or grazing.

Quantity harvested was not obtained for crops such as fruits and nuts, berrie s, vegetables and melons, and nursery and greenhouse crops.

Age of operator. See Farms by age and primary occupation of operator.

Agri-tourism and recreational services. See Total income from farm-related sources, gross before taxes and expenses.

Agricultural products sold directly to individuals for human consumption. See Value of agricultural products sold directly to individuals for human consumption.

All (multiple) operators. See Operator.

All haylage, grass silage , and greenchop (tons). See Haylage, grass silage, and greenchop, all.

All other production expenses. See Total farm production expenses.

Alpacas. This is a new item for 2007. In 2002 alpacas were reported as other livestock.

American Indian and Alaska Native farm operators, total. Data are reported in Chapter 1,

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# tables 54 through 57 and Ch apter 2, table 51. In Chapter 1, table 54 data include farm characteristics for principal operator re porting one race only, table 55 data include farm characteristics reported for a maximum of three operators reporting American

Indian or Alaska Native alone or in combination with other races, table 56 data are reported for principal operator only, ta ble 57 include data for a maximum of three operators for those operators that reported only one race.

In Chapter 2, table 51 data are reported for a maximum of three operators reported in the operator characteristics section. The individual operators

were added to the census mail list for most

reservations. Those reservat ions that did not include all the individual operator s on the census mail list

were identified and the data for the entire reservation, including the da ta for the operators that would have met the definition of a farm, were collected on one report form. The count of

reservations and the number of operators that were reported on these reserv ations are included in Appendix B, table D.

Amount from State and local government agricultural program payments. See Total income from farm-related sources, gross before taxes and

expenses.

Amount from Conservation Reserve, Wetlands Reserve, Farmable Wetlands, and Conservation Reserve Enhancement Programs. See Land enrolled in the Conservation Reserve Program (CRP), Wetlands Reserve Program (WRP), Farmable Wetlands Program (FWP), or Conservation Reserve Enhancement Program (CREP).

Any poultry sold. The number of farms with any poultry sold includes all farms with sales of poultry, poultry hatched, or eggs.

Aquaculture. In the 2007 census the value of sales was tabulated for each specified species. In the 2002 census only total aquaculture value of sales was asked. Aquaculture is define d as the farming of fish, crustaceans, mollusks, and other aquaculture products. The aquaculture production reported in the census requires some form of intervention in the rearing process and requires inputs such as seeding, stocking, feeding, protection from predators, etc. It also requires ownership of the stock being cultivated and harvesting that is conducted in a controlled environment by the oper ation. The pounds sold, number sold, and value of sales include all sizes and eggs by species. The number and pounds sold and value of sales include aquaculture distributed for restoration, conservation, or recreational purposes,

such as State and Federal hatcheries. Values based on sales of farm-raised fish were assigned to

distributed fish.

Aquaculture value. See Aquaculture.

Artichokes (excluding Jerusalem). For 2007 the wording was changed to clarify that Jerusalem artichokes should be excluded. Data are comparable

to 2002 artichoke data.

Asparagus, bearing age. For 2007, bearing age was added to the descripti on for clarity. Data are comparable.

Bees . See Colonies of bees and honey collected.

Breeding livestock. See Total farm production

expenses.

By economic class. See Economic class of farms.

Cattle on feed. Cattle on feed is defined as cattle

and calves that were fed a ration of grain or other concentrates that will be shipped directly from the feedlot to the slaughter market and are expected to produce a carcass that will grade select or better. This category excludes cattle that were pastured only, background feeder cattle , and veal calves.

Cattle on feed sold. Data are for cattle on feed sold that weighed 500 pounds or more and were shipped directly from the feedlot to the slaughter market. This category excludes cattle that were pastured only, owned cattle that were shipped from feedlots operated by others, bac kground feeder cattle, and

veal calves.

Chemicals applied . For each type of chemical used, the acres treated were reported only once even if the acres were treated more than once. If multi-purpose

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# chemicals were used, the acres treated for each purpose were reported. See Total farm production expenses; Chemicals.

Cherries . Cherries were reported as either sweet

cherries or tart cherries . Combined crops or nonspecified cherry acres were not options for the respondent. Total acres, bearing age acres, and nonbearing age acres were reported for each crop.

Chestnuts. This is a new item for 2007. In 2002

data were included in other nut trees. See Other

nuts.

Christmas trees, cut. Data are for acres of

Christmas trees - cut or to be cut - in production, acres irrigated, and number of trees cut. Sales data

are included in the Cut Christmas trees and short rotation woody crops category. In 2002, acres irrigated were not collected.

Christmas trees, live. Data were reported as nursery stock and include Christmas trees sold live, generally balled and burl apped, from the operation.

Citrus enumeration. Reports for selected citrus caretakers in Arizona, Florida, and Texas were obtained by direct enumerati on. A citrus caretaker is an organization or person caring for or managing citrus groves for others. This special enumeration

has been conducted since 1969 because of the difficulty identifying and enumerating absentee grove owners who often do not know the information that is needed to adequately complete the report form.

Enumeration activities were completed after harvest to facilitate the accuracy of reported data. Grove owners were counted as operators for farm count purposes. Citrus caretakers were perceived as performing an agricultural service for grove owners and were not considered agricultural operators if they provided only servic es to grove owners. Caretakers were counted as agricultural operators if they made day-to-day decisions for their own operation in addition to provi ding services for grove owners. Data provided by caretakers were prorated to owners based on acreage and were transcribed onto the respective owner’s census report form. Coffee . Data were collected only in Hawaii. In 2007, data for total acres, bearing age acres, and nonbearing age acres we re collected.

Colonies of bees. C olonies of bees were tabulated in the county where the largest value of all agricultural products were raised or produced.

Colonies are often moved from farm-to-farm over a wide geographic area. Pack age bees are not included as separate colonies. In 2007 colonies of bees were collected in their own section to clarify to respondents that only “owned ” colonies were to be reported versus any colonies on the operation.

Commodities raised and delivered under production contracts . A production contract is an agreement between a producer or grower and a contractor (integrator) setting terms, conditions, and fees to be paid by the cont ractor to the operation for the production of crops, liv estock, or poultry. The grower receives a payment or fee from the contractor, generally after delivery, which is less than the full market price of the commodity. A production contract involves the shifting of some risk and control from the grower to the contractor. Marketing contracts, futu res contracts, forward contracts, or other contracts based strictly on price are not considered pr oduction contracts. Commodities sold to a co-op where some of the input items were purchased from the same co-op at a discount price were also excluded. Many operations produce commodities only under production contracts or only independe ntly. Some operations may produce a commodity under production contract and also produce more of the same commodity that they sell independe ntly. Both types of production

are combined as one value in the tables for total

inventories and total sales.

Custom fed cattle shipped directly for slaughter. In 2002, data were collected for custom fed cattle. Many respondents reported cattle that were not shipped directly to sla ughter such as veal or background feeder cattle. For 2007, the report form text was improved to spec ify custom fed cattle shipped directly for slaughter. Cattle not shipped directly to slaughter were reported in the Other cattle, livestock, poultry, or aquaculture category. Data are not comparable for custom fed cattle shipped directly to sla ughter or Other cattle,

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# livestock, poultry, or aqu aculture categories.

Other cattle, livestock, poultry, or aquaculture. The

data for commodities raised and delivered under a production contract include cattle which were not custom fed and shipped directly to slaughter (backgrounding), livestock and poultry not listed separately, and aquaculture products. For 2007, the report text was improved to specify custom fed cattle shipped directly for slaughter. Cattle not shipped directly to slaughter are reported as Other cattle, livestock, poultry, or a quaculture. In 2002, some cattle not shipped directly to slaughter were reported as custom fed cattle. Data are not comparable with 2002 for Custom fed cattle shipped directly to slaughter or Other cattle, livestock, poultry, or aquaculture categories.

Vegetables, melons, and potatoes. This category is the number of farms that produced and delivered vegetables, melons, an d potatoes grown under a production contract.

Other crops. Data are for the total number of farms that have production contracts for other crops. This category includes all crops except grains, oilseeds, vegetables, melons, and potatoes.

Commodity Credit Corporation loans. This category includes nonrecour se marketing loans for wheat, corn, sorghum, barley, oats, cotton, rice, soybeans, Austrian winter peas, honey, dry peas, lentils, small chickpeas, p eanuts, sunflower seed, flaxseed, canola and othe r rapeseed, safflower, mustard seed, crambe and sesame seed, and mohair.

These commodities differ from those included in the

2002 census due to cha nges created by the 2007

Farm Bill.

Crop and livestock insurance payments received. See Total income from farm-related sources, gross before taxes and expenses.

Crop units of measure. The regional report forms allowed the operator to re port the quantity of field crops harvested in a unit of measure commonly used in the region. When the operator reported in units different than the unit of measure published, the quantity harvested was converted to the published

unit of measure. Crop year or season covered. Acres and quantity harvested are for the calendar year 2007 except for citrus crops and sugarcane for sugar; limes in region three States; avocados in Florida and California;

olives in California and Ar izona; and pineapples and

coffee in Hawaii.

1. Avocados. The data for Florida relate to the quantity in the April 2007 through March 2008 harvest season; for Cali fornia and Arizona, the November 2006 through November 2007 harvest

season. 2. Citrus crops. The data for region three relate to the quantity harvested in the September 2006 through August 2007 harvest season, except limes in Florida that were harvested in the April 2007 through March 2008 harvest season. The

data for California and Arizona relate to the 2006 through 2007 harvest season. The data for limes relate to the April 20 07 through March 2008

harvest season.

3. Olives. The data for California and Arizona relate to the September 2006 through March

2007 harvest season.

4. Pineapples. The data for Hawaii relate to the quantity harvested in the year ending May 31,

2007.

5. Sugarcane for sugar. The data for Florida, Louisiana, and Texas rela te to the cuttings from September 2007 through April 2008.

Cropland, harvested. See Harvested cropland.

Cropland, irrigated . See Irrigated land.

Cropland idle or used for cover crops or soil improvement, but not harv ested and not pastured or grazed. Cropland idle includes any other acreage which could have been used for crops without any additional improvement and which was not reported as cropland harvested, cropl and on which all crops failed, cropland in summer fa llow, or cropland used for pasture or grazing. T his category includes:

1. Land used for cover crops or soil improvement but not harvested or grazed.

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# 2. Land in Federal or State conservation programs that was not hayed or grazed in 2007.

3. Land in Federal or State conservation programs that were planted to trees for future harvest timber, pulp, or Christmas trees.

4. Land occupied with growing crops for harvest in 2008 or later years but not harvested or summer fallowed in 2007 (except fruit or nuts in an orchard, grove, or vineyard being maintained for production). Examples ar e acreage planted in winter wheat, strawberries, etc., for harvest in 2008 and no crop was harvested from these acres

in 2007.

5. Land in “skipped” rows between rows of crops or field strips.

Cropland, other. See Other cropland.

Cropland, total. See Total cropland.

Cropland used only for pasture or grazing. This category includes land us ed only for pasture or grazing that could have been used for crops without additional improvement. Al so included were acres of crops hogged or grazed but not harvested prior to grazing. However, cropl and that was pastured before or after crops we re harvested in 2007 was included as harvested cropland rather than cropland for pasture or grazing.

Crustaceans . These are invertebrate animals with jointed legs and a hard shelled segmented body. Examples include crawfish, lobster, praw ns, shrimp,

and softshell crabs.

Custom fed cattle shipped directly for slaughter.

See Commodities raised and delivered under production contract.

Customwork and custom hauling. See Total farm production expenses.

Customwork and other agricultural services . See Total income from farm-related sources, gross before taxes and expenses.

Cuttings, seedlings, liners, and plugs. This is a new item for 2007. In 2002 da ta were included in other nursery and floriculture. See Nursery, greenhouse, floriculture, and sod.

Cut Christmas trees. See Christmas trees, cut.

Data are based on sample of farms . For censuses from 1978 through 2002, selected data items were collected from only a sample of farms. These data were subject to sampling error. For the 2007 census there was no sampling.

Depreciation expenses claimed. The calculation of total farm production expenses does not include depreciation because it is a capital expense. Depreciation allows the expensing of capital purchases over multiple years. It is not included in

the calculation of Net cash farm income of the operation and operator.

Ducks, geese, and other poultry species. Data are

the number of farms that had inventory of ducks, emus, geese, ostriches, pheasants, pigeons or squab, quail, and other poultry sold. Other poultry are those poultry not having a specific code on the report form. Data are comparable.

Ducks, geese, and other poultry species sold. Data are the number of farms that sold ducks, emus, geese, ostriches, pheasants, pigeons or squab, quail, and other poultry sold. Other poultry are those poultry not having a specific code on the report form. Data are comparable.

Expenses . See Total farm production expenses.

Economic class of farms. Economic class data are the classification of farms by the sum of market value of agricultural products sold and federal farm program payments. See Total market value of agricultural products sold and government payments.

Farm or ranch operator . See Operator

characteristics.

Farm typology. The Economic Research Service (ERS), an agency of the United States Department of Agriculture, has establis hed typology of farms to group farms by similar characteristics. This census is the first to include data cross-tabulated by the

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# eight farm typology categorie s. There are two major groupings of farms, small family farms with sales of less than $250,000, and other farms. The small family farm group is divided into 5 subcategories,

described below:

1. Limited-resource farms have market value of agricultural products sold gross sales of less than $100,000, and total principal operator household income of less than $20,000.

2. Retirement farms have market value of agricultural products sold of less than $250,000, and a principal operator who reports being

retired.

3. Residential/lifest yle farms have market value of agricultural products sold of less than $250,000, and a principal operato r who reports his/her primary occupation as other than farming.

4. Farming occupation/lower-sales farms have market value of agricultural products sold of less than $100,000, and a principal operator who reports farming as his/her primary occupation.

5. Farming occupation/higher-sales farms have market value of agricultural products sold of between $100,000 and $249,999, and a principal operator who reports farming as his/her primary occupation.

Other farms are subdivided into three subcategories,

described below:

1. Large family farms have market value of agricultural products so ld between $250,000 and $499,999.

2. Very large family farms have market value of agricultural products so ld of $500,000 or more.

3. Nonfamily farms are farms organized as nonfamily corporations, as well as farms operated by hired managers.

Farms by age and primary occupation of operator. Data on age and primary occupation were obtained from up to three ope rators per farm in 2007. When compared with 2002 results, the average age of farmers increased signif icantly. Older operators may be “retired” (with little if any sales) and still report farming as their prim ary occupation since they often have limited opportunity for off-farm jobs. See Primary occupation of the operator.

Farms by combined gov ernment payments and market value of agricultural products sold. This category represents the valu e of products sold plus government payments. Total value of products sold combines total sales not under production contract and total sales under production contract. Government payments consist of government payments received from the Conservation Reserve Program (CRP), Wetlands Reserve Program (WRP), Farmable Wetlands Program (FWP), or Conservation Reserve Enhancement Program (CREP) plus government payments received from Federal, State, and local programs other than the CRP, WRP, FWP, and CREP, and Commodity Credit Corporation loans. See Total market value of agricultural products sold and government payments.

Farms by economic class. See Economic class of farms and Total market value of agricultural products sold and government payments

Farms by North American Industry Classification System (NAICS). The NAICS classifies economic activities. It was jointly developed by Mexico, Canada, and the U.S. NAICS makes it possible to produce comparable industrial statistics for Mexico, Cana da, and the U.S. For the 2007 census, all agricultural production establishments (farms, ranches, nurseries, greenhouses, etc.) were classifi ed by type of activity or activities using the NAICS code. The 2007

census is the third census to use NAICS. Censuses prior to the 1997 census used the old Standard Industrial Classification (S IC) system to classify

farms.

NAICS was developed to provide a consistent framework for the collection, analysis, and

dissemination of industri al statistics used by government policy analysts, academia and researchers, the business community, and the public. It is the first industry cla ssification system developed in accordance with a single principle of aggregation that production units using similar production

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# processes should be grouped together. Though

NAICS differs from othe r industry classification systems, statistics compiled on NAICS are comparable with statistics compiled according to the

latest revision of the United Nations’ International

Standard Industrial Classi fication, Revision Three, (ISIC, Revision 3) for some sixty high level groupings. Following are expl anations of the major

classifications used in 2007.

Oilseed and grain farming (1111). Comprises establishments primarily engaged in (1) growing oilseed and/or grain crops and/or (2) producing oilseed and grain seeds. These crops have an annual life cycle and are typically grown in open fields. This category includes corn silage and grain silage. In the 2007 census, government-payment only farms

were classified as “All ot her crop farming” (11199). In the 1997 census, government-payment only farms

were coded as “All othe r grain farming (11119).”

Vegetable and melon farming (11121). Comprises establishments primarily e ngaged in one or more of the following: (1) growing vegetables and/or melon crops, (2) producing vegetabl e and melon seeds, and (3) growing vegetable and/ or melon bedding plants.

Fruit and tree nut farming (1113). Comprises establishments primarily engaged in growing fruit and/or tree nut crops. Thes e crops are generally not grown from seeds and have a perennial life cycle.

Greenhouse, nursery, and floriculture production (1114). Comprises establishments primarily engaged in growing crops of any kind under cover and/or growing nursery st ock and flowers. ‘‘Under cover’’ is generally defined as greenhouses, cold frames, cloth houses, and lath houses. Crops grown are removed at various stages of maturity and have annual and perennial life cycles. The category includes short rotation woody crops and Christmas trees that have a growing and harvesting cycle of 10 years or less.

Other crop farming (1119). Comprises establishments primarily engaged in (1) growing crops such as tobacco, cotton, sugarcane, hay, sugarbeets, peanuts, agave, herbs and spices, and hay and grass seeds, or (2) growing a combination of the valid crops with no one cr op or family of crops accounting for one-half of the establishment’s agricultural production (value of crops for market). Crops not included in this category are oilseeds, grains, vegetables and me lons, fruits, tree nuts, greenhouse, nursery and fl oriculture products.

All other crop farming (11199). Comprises establishments primarily engage d in (1) growing crops (except oilseeds and/or gr ains; vegetables and/or melons; fruits and/or tree nuts; greenhouse, nursery, and/or floriculture products; tobacco; cotton; sugarcane; or hay) or (2 ) growing a combination of crops (except a combination of oilseed(s) and grain(s)); and a combination of fruit(s) and tree nut(s) with no one crop or family of crops accounting for one-half of the establishment’s agricultural production.

Beef cattle ranching and farming (112111). Comprises establishments primarily engaged in raising cattle (including cattle for dairy herd replacements). Pastureland-only farms, those with only 100 or more acres of pastureland, were classified as “All other animal production farming (11299).”

Cattle feedlots (112112). Comprises establishments primarily engaged in feeding cattle for fattening.

Dairy cattle and milk production (112120). This industry comprises establis hments primarily engaged in milking dairy cattle.

Poultry and egg production (1123). This industry group comprises establishments primarily engaged in breeding, hatching, and raisi ng poultry for meat or egg production.

Sheep and goat farming (1124). This industry group comprises establishments primarily engaged in raising sheep, lambs, and goats, or feeding lambs for fattening.

Animal aquaculture (1125). Comprises establishments primarily engaged in the farm raising of finfish, shellfish, or any other kind of animal aquaculture. These establishments use some form of

intervention in the rear ing process to enhance production, such as holding in captivity, regular stocking, feeding, and prot ecting from predators.

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# Other animal production (1129). Comprises establishments primarily engaged in raising animals and insects (except cattle, hogs and pigs, poultry, sheep and goats, and aquaculture) for sale or product production. These establishments are primarily engaged in one of the following: bees, horses and other equine, rabbits and ot her fur-bearing animals, etc, and producing products such as honey and other bee products. Establishments primarily engaged in raising a combination of animals with no one animal or family of animals accounting for one-half of the establishment’s agricultu ral production are included in this industry group. Fa rms with only 100 acres or more of pastureland were classified as “All other animal production farming (11299).”

Farms by number of households sharing in net

income of farm. Data were reported by the principal operator only. Households that received funds because they were only landlords, custom equipment operators, or pr ovided other production

services were not included. Published data can exceed the number of operators listed under Operators, all.

Farms by size. All farms were classified into size groups according to the total land area in the farm. The land area of a farm is an operating unit concept

and includes land owned and operated as well as land rented from others. Land rented to or assigned

to a tenant was considered part of the tenant’s farm and not part of the owner’s.

Farms by tenure of operator. All farms were classified by tenure of opera tors. The classifications

used were:

• Full owners operated only land they owned.

• Part owners operated land they owned and also land they rented from others.

• Tenants operated only la nd they rented from

others or worked on shares for others.

Farms with hired managers are classified according to the land ownership characteristics reported. For example, a corporation owns all the land used on the farm and hires a manager to run the farm. The hired manager is considered the farm operator, and the farm is classified with a tenure type of “full owner” even though the hired manager owns none of the land he/she operates.

Farms by value of sales. See Market value of agricultural pr oducts sold.

Farms by type of organization. All farms were classified by type of orga nization in the 2007 census.

The classifications used were:

1. Family or individual (sole proprietorship), excluding partnership and corporation.

2. Partnership, including fa mily partnership – in selected tables, partnership was further

subclassified into:

a. Registered under State law.

b. Not registered under State law.

3. Corporation, including family corporations - in selected tables, partnership was further

subclassified into:

a. Family held or other than family held.

b. More than 10 stockholders.

4. Other, cooperative, estate or trust, institutional,

etc.

Farms or farms reporting. The terms ‘‘farms’’ and ‘‘farms reporting’’ in the presentation of data are equivalent. Both repres ent the number of farms reporting the item. For example, if there are 3,710

farms in a State and 842 of them had 28,594 cattle and calves, the data for those farms reporting cattle and calves would appear as:

Cattle and calves farms . . . . . 842 number . . . 28,594

Farms with sales and government payments of less than $1,000. This category includes farms with combined sales and government payments of less than $1,000 but having the potential for sales of $1,000 or more. In this category, government payments were included in calculating that potential. It provides information on all items for farms that normally would be expected to sell agricultural products of $1,000 or more but had sales and government payments of less than $1,000.

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# Farms with sales of less than $1,000. This category includes farms with sales of less than $1,000 but having the potential for sales of $1,000 or

more. Some of these farms had no sales in the census year. It provides information on all report form items for farms that normally would be expected to sell agricultural products of $1,000 or

more.

Fertilizer . See Total farm production expenses; Fertilizer, lime, and soil conditioners.

Floriculture crops. Data represent total of bedding/garden plants, cut flowers and cut florist greens, foliage plants, potted flowering plants, and

other floriculture and bedding plants.

Field and grass seed crops, all. Data are for all the field and grass seed crops not published as field crops and include other field crops which did not have a specific code on the 2007 report form.

Forage - land used for all hay and all haylage, grass silage, and greenchop. Data shown represent the area harvested with each acre counted only once if dry hay, haylage, grass silage, or greenchop were cut from the same acreage or if there were multiple cuttings of dry hay, haylage, grass silage, or greenchop. Data exclude co rn silage and sorghum silage. Quantity produced is the sum of the quantity harvested of all hay incl uding alfalfa, other tame, small grain, and wild hay and all haylage, grass silage and greenchop after converting the all haylage, grass silage, and greenchop quantity harvested to a dry equivalent basis (13-percent moisture). The green tons of all haylage, grass silage, and greenchop harvested were multiplied by a

factor of 0.4943 to convert to a dry equivalent. This conversion factor is based on the assumption that one ton of dry hay is 0.87 ton of dry matter, one ton of haylage or grass silage is 0.45 ton dry matter, and one ton of greenchop is 0.25 ton dry matter. The all haylage, grass silage, and greenchop quantity harvested is assumed to be comprised of 90-percent haylage and grass silage and 10-percent greenchop. Therefore, the conversion f actor used to adjust all haylage, grass silage, and greenchop quantity harvested to a dry equivalent basis = [(0.45*0.9)+(0.25*0.1)]/0.87 = 0.4943. Fruits and nuts. Total acres, bearing age acres, and nonbearing age acres we re collected.

Ginseng. In 2007 ginseng acres are included in the vegetable acres. In 2002 gi nseng harvested, irrigated harvested acres, and production were included in the acres for field crops. Total vegetable acres are not directly comparable.

Government payments. This category consists of direct payments as defined by the 2002 Farm Bill; payments from Conservation Reserve Program (CRP), Wetlands Reserve Program (WRP), Farmable Wetlands Program (FWP), and Conservation Reserve Enhancement Program (CREP); loan deficiency payments; disaster payments; other conservation programs; and all other federal farm programs under which payments were made directly to farm operators. Commodity Credit Corporation (CCC) proceeds, amount from State and local government agricultural program payments, and federal crop insurance payments were not tabulated in this category.

Grain and bean combines. In the 2007 and 2002 censuses, data were collected for self-propelled combines only.

Grain storage capacity. Data include the capacity of all storage structures on the operation normally used to store whole grains and oilseeds. These structures can be bins, silos, buildings, trailers, etc. The capacity or usage of any off-farm public or commercial storage facilities was excluded.

Grains, oilseeds, dry beans, and dry peas sales. Data are for the total market value of cash grains sold, including corn for grai n, seed, or silage; wheat for grain; soybeans for b eans; sorghum for grain, seed, or silage; barley for gr ain; rice; oats for grain; and other grains. Also in cluded is the total market value of cash oilseeds sold, including sunflower seed (oil and non-oil), flaxs eed, canola, rapeseed, safflower seed, mustard s eed, dry beans, and dry

peas.

Greenhouse fruits and berries. This is a new item

for 2007. Data include strawb erries, raspberries, etc. grown in greenhouses and high tunnels where the crops were always covered. In 2002, data were

# 2007 CENSUS OF AGRICULTURE APPENDIX B B-13

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# included in Other nursery and greenhouse crops. See Nursery, greenhouse, floriculture, and sod.

Greenhouse tomatoes. This is a new item for 2007. In 2002, data were included in greenhouse produced vegetables. See Total greenhouse vegetables and

fresh cut herbs.

Gross cash rent or share payments. See Total income from farm-related sources, gross before taxes and expenses.

Harvested cropland. This category includes land from which crops were harvested and hay was cut, land used to grow short-rotation woody crops and land in orchards, citrus groves, Christmas trees, vineyards, nurseries, and greenhouses. Land from which two or more crops were harvested was counted only once. Land in tapped maple trees was included in woodland not pastured. The 2007 census definition for harvested cropland is the same as the

2002 definition.

Hay - all hay including alfalfa, other tame, small grain, and wild. Data shown represent the acreage and quantity harvested of a ll types of dry hay. The quantity harvested was reported in dry tons (dry weight at the time the hay was removed from the field for storage or feeding). If two or more cuttings of dry hay were made from the same field, the acreage was reported only once as acres harvested of the appropriate dry hay category, but the production from all cuttings was combined in the corresponding quantity harvested. Straw acreage and production is

excluded.

If dry hay was cut from the same land that haylage, grass silage, or greenchop was cut, the acreage and production for the dry hay was reported in the appropriate category of dr y hay and the acreage and production for haylage, gr ass silage, or greenchop was reported in the appropria te haylage, grass silage, or greenchop category. For example, if 20 acres of alfalfa were cut for hay and then the same land was used to produce alfalfa haylage, 20 acres and the quantity harvested of hay we re reported as Alfalfa and alfalfa mixtures for dry hay and 20 acres and the quantity harvested of alfalf a haylage were reported as Haylage or greenchop fr om alfalfa or alfalfa

mixtures. Hay, other tame dry hay. Data shown represent acreage and dry tons of hay harvested from clover, fescue, lespedeza, timothy, Bermuda grass, Sudangrass, sorghum hay, and other types of legumes (excluding alfalfa) and tame grasses (excluding small grains).

Hay, wild dry. Data shown represent acreage and dry tons of hay harvested that was predominately wild or native grasses, even if it had some fill-in seeding of other grasses.

Haylage, grass silage, and greenchop, all. Data shown represent the acreage and quantity harvested of all types (alfalfa and all other). The quantity harvested was reported in green tons. If two or more cuttings of haylage, gra ss silage, or greenchop were made from the same field, the acreage was reported as acres harvested in the appropriate haylage category only once, and the tonnage from all cuttings was combined in the corresponding quantity harvested. Straw acreag e and production is

excluded.

Hired farm labor. Data are for total hired farm workers, including paid family members, by number of days worked. Data excl ude contract laborers.

Hogs and pigs by type of operation. In the 2007 census, hog and pig farms were classified by primary type of operation. Operation types were farrow to wean, farrow to feeder, fa rrow to finish, nursery, finish only, and other. Each description was accepted and the reported inventory and sales data were assigned to each reported type. In 2002 a respondent could select more than one operation type. Data are not comparable.

Hogs and pigs by type of producer. In the 2007 census, hog and pig farms were classified by one type of producer in 2007. Producer types were independent grower, contra ctor or integrator, and contract grower (contractee ). Each description was accepted and the reported inventory and sales data were assigned to each reported type. In 2002 a respondent could select more than one producer type. Data are not comparable.

Honey collected . Data are for pounds of honey produced but not necessarily sold.

# B-14 APPENDIX B 2007 CENSUS OF AGRICULTURE

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# Horseradish. This is a new item for 2007. Data are for total acres harvested, acres harvested for fresh market, and acres harvested for processing. In 2002, horseradish was reported as other vegetables.

Income . Net cash farm income is published for the operation and operator. The difference between net

cash income and net cash returns is that net cash returns does not include government payments and

other farm-related income as income. See Net cash farm income of the operations and Net cash farm income of the operators.

Income from farm-related sources. See Total income from farm-related sources, gross before taxes and expenses.

Institutional, research, experimental, and

American Indian Reservation farms. Data for these farms are combined into a single category. Research farms include farms operated by private companies as well as those operated by universities, colleges, and government organizations for the purpose of expanding ag ricultural knowledge.

Irrigated land. This category includes all land watered by any artificial or controlled means, such assprinklers, flooding, furrows or ditches, subirrigation, and spreader dikes. Included are supplemental, partial, and preplant irrigation. Each acre was counted only once regardless of the number of times it was irrigated or harvested. Livestock lagoon waste water distributed by sprinkler or flood systems was also included.

Land area, approximate. The approximate land area represents the total land area as determined by

records and calculations as of January 1, 2007. The

2007 area values differ from 2002 because of the improved accuracy of spatial data. The proportion of land area in farms may exceed 100-percent because some operations have land in two or more counties, but all acres are tabulated in the principal county of operation. The approximate land area data were supplied by the U.S. Department of Commerce,

Bureau of the Census. See Land in two or more

counties.

Land enrolled in crop insurance programs. The data are for all land enrolled in any Federal, private, or other crop insurance pr ogram. It includes acreage of pasture/rangeland enrolled in crop insurance programs in areas where it is provided. Data are comparable with 2002.

Land enrolled in the Conservation Reserve Program (CRP), Wetlands Reserve Program (WRP), Farmable Wetlands Program (FWP), or Conservation Reserve Enhancement Program (CREP). CRP is a program established by the USDA in 1985 that takes land prone to erosion out of production for 10 to 15 years and devotes it to

conservation uses. In re turn, farmers receive an annual rental payment for carrying out approved conservation practices on the conservation acreage. The WRP, FWP, and CREP programs are included under the CRP program that offers landowners financial incentives for conservation practices.

For the 2007 census, operations with land enrolled in the CRP, WRP, FWP, or CREP were counted as farms, given they received $1,000 or more in government payments, even if they had no sales and otherwise lacked the pot ential to have $1,000 or more in sales. 2002 data may not include FWP or CREP acreage so data are not directly comparable.

Land in berries. This is a new item for 2007. Data

are for total land in be rries. Respondents also reported harvested acres and not harvested acres by individual berry crops. In 2002, only harvested acreage was collected.

Land in farms. The acreage designated as ‘‘land in farms’’ consists primarily of agricultural land used for crops, pasture, or gr azing. It also includes woodland and wasteland not actually under cultivation or used for pasture or grazing, provided it was part of the farm operator’s total operation. Large acreages of woodland or wasteland held for nonagricultural purposes were deleted from individual reports during th e edit process. Land in farms includes CRP, WRP, FWP, and CREP acres.

Land in farms is an operating unit concept and includes land owned and operated as well as land rented from others. Land used rent free was reported as land rented from others. All grazing land, except land used under government permits on a per-head basis, was included as ‘‘land in farms’’ provided it

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# was part of a farm or ranch. Land under the exclusive use of a grazing association was reported by the grazing association and included as land in

farms. All land in Ameri can Indian reservations used for growing crops, grazing livestock, or the potential of grazing livestock was included as land in farms. Land in reservations not reported by reservation, individual American Indians or nonNative Americans was reported in the name of the cooperative group that us ed the land. In many instances, an entire Americ an Indian reservation was reported as one farm.

Land in orchards. This category includes land in bearing age and nonbearing age fruit trees, citrus or other groves, vineyards, a nd nut trees of all ages, including land on which all fruit crops failed. Respondents also reported bearing age acres and nonbearing age acres by i ndividual fruit and nut crops. Respondents were instructed not to report abandoned plantings and plan tings of fewer than 20 total fruit, citrus, or nut trees or grapevines.

Land in two or more counties. With few exceptions, the land in each farm was tabulated as being in the operator’s principal county. The principal county was defined as the one where the largest value of ag ricultural products was raised or produced. It was usually th e county containing all or the largest proportion of th e land in the farm or viewed by the respondent as his/her principal county. Reports received showing land in more than one county were separated into tw o or more reports if the data would substantially distort county totals.

Land in vegetables. Data are for the total land used for vegetable and melon crops. The acres were reported only once, even though two or more harvests of a vegetable or more than one vegetable were harvested from the same acres. In 2007, ginseng, potatoes, and sweet potatoes are included in land used for vegetables. In 2002, these acres were included in field crops. Data are not directly comparable.

Land used for organic production. See Total acres used for organic production.

Land used for vegetables. See Land in vegetables.

Landlord’s share of the total sales. Data represent the share of the operation’s total sales that went to landlord(s).

Layers. This category incl udes table-egg type layers, hatching layers fo r meat-types, and hatching layers for table egg types. In 2002, this category was referred to as Layers 20 w eeks and older. This is a wording change only; data are comparable.

Layers inventory. See Layers.

Layers sold. See Layers.

Less than $1,000. See Farms with sales and government payments of less than $1,000.

Livestock and poultry purchased or leased. See Total farm production expenses; Livestock and poultry purchased or leased

.

Maple syrup. Data are for the number of taps set and syrup produced.

Market value of agricultural products sold. This category represents the gross market value before taxes and production expenses of all agricultural products sold or removed from the place in 2007 regardless of who received the payment. It is equivalent to total sales and it includes sales by the operators as well as the valu e of any shares received by partners, landlords, contractors, or others associated with the operat ion. It includes value of

direct sales and the value of commodities placed in the Commodity Credit Corporation (CCC) loan program. Market value of agricultural products sold does not include payments received for participation in other federal farm progr ams. Also, it does not

include income from farm-related sources such as customwork and other agricultural services, or

income from nonfarm sources.

The value of crops sold in 2007 does not necessarily represent the sales from crops harvested in 2007. Data may include sales from crops produced in earlier years and may excl ude some crops produced in 2007 but held in storage and not sold. For commodities such as sugarbeets and wool sold through a co-op that made payments in several installments, respondents were requested to report

the total value received in 2007.

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# The value of agricultural products sold was requested of all operators. If the operators failed to report this information, estimates were made based on the amount of crops harvested, livestock or poultry inventory, or number sold. Caution should be used when comparing sales in the 2007 census with sales reported in earlier censuses. Sales figures are expressed in current dollars and have not been adjusted for inflation or de flation. See Farms with sales and government payments of less than $1,000.

Market value of agricultural products sold and government payments. See Total market value of agricultural products sold and government payments.

Migrant farm labor on farms with hired labor. Operators were asked whether any hired or contract workers were migrant workers. A migrant farm worker is a farm worker whose employment required travel that prevented the worker from returning to his/her permanent place of residence the same day.

Migrant farm labor on farms reporting only

contract labor. Data are for those operations that did not have hired farm workers but reported that they did have migrant contract workers on their operation in 2007.

Misreported or miscoded crops. In a few cases, data may have been reported on the wrong line, in the wrong section, or the wrong crop code may have been assigned to a write-in crop code. A few of these errors may not have been identified and corrected during processing which resulted in rare cases of inaccurately tabulat ed data. Reports with significant acres of unusual crops for the area were examined to minimize the possibility that they were

in error.

Mollusks. These are invertebrate animals with a soft body covering and shells of 1- 18 parts or sections. Examples include abalones, clams, mussels, oysters, and snails. See Aquaculture for more information on production reported on the census.

More than one race reported. This category represents those operators who chose to report more

than one race on the census form.

Mushroom spawn. This is a new item for 2007. Respondents reported only sales; growing area was

not summarized.

Mushrooms . All mushroom crops were considered grown under glass or other protection and no mushroom data were published as area in the open. Those reporting mushrooms grown in the open area were converted to an equiva lent area of square feet under protection.

NAICS. See Farms by North American Industry Classification System (NAICS).

Net cash farm income of the operations. This concept is derived by subtracting total farm expenses from total sales, government payments, and other farm-related income. Depreciation is not used in the

calculation of net cash farm income. Net cash farm income of the operation includes the value of commodities produced under production contract by the contract growers.

For publication purposes, farms are divided into two categories:

1. Farms with net gains (i ncludes those operations that broke even).

2. Farms with net losses.

Net cash farm income of the operators. This value is the operators’ total re venue (fees for producing under a production contract, total sales not under a production contract, government payments, and farm-related income) minus total expenses paid by the operators. Net cash farm income of the operator includes the payments received for producing under a production contract and doe s not include value of commodities produced under production contract by the contract growers. Depr eciation is not used in the

calculation of net cash farm income.

For publication purposes, farms are divided into two categories:

1. Farms with net gains (includes those operations that broke even).

2. Farms with net losses.

# 2007 CENSUS OF AGRICULTURE APPENDIX B B-17

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# Noncitrus fruit, all. This is a summation of all acres reported in the commodities defined as noncitrus such as apples, grapes, and plums.

Noncitrus fruit, other. See other noncitrus fruit.

Nursery, greenhouse, floriculture and sod. In the 2007 census, individual data were collected for area under glass or other protecti on, area in th e open, and sales of aquatic plants; bulbs, corms, rhizomes, and tubers; cuttings, seedli ngs, liners, and plugs; floriculture crops; flower seeds; greenhouse fruits and berries; total greenhouse vegetables and fresh cut herbs; mushrooms; mu shroom spawn; nursery stock; other nursery crops; sod harvested; tobacco transplants; vegetable seeds; and vegetable transplants. Total sales data are the summation of all crops. In the 2002 census, mushroom spawn were not included so total sales data are not directly comparable. Also, in the 2002 census, individual crops sales data were not collected.

Nuts, all. Data include all nut trees. In 2002, the report form category Other fruit and nuts was used in some regions. Some nut trees were reported in this category. The data for a ll nut trees for 2002 cannot be summarized so data are not comparable.

Occupation . See Primary occupation of operator and/or Farms by age and primary occupation of operator.

Operator . The term operator designates a person who operates a farm, either doing the work or making day-to-day decisions about such things as planting, harvesting, feeding, and marketing. The operator may be the owner, a member of the owner’s household, a hired manager, a tenant, a renter, or a sharecropper. If a person re nts land to others or has land worked on shares by others, he/she is considered the operator only of the land which is retained for his/her own operation. The census

collected information on the total number of operators, the total number of women operators, and demographic information for up to three operators per farm.

Operator characteristics. O perators (up to three operators per farm) were asked to report primary occupation, sex, age, race, place of residence, if retired, number of days worked off farm, year in which his/her operation of the farm began, hired manager, number of persons living in the operators’ households, and Spanish, Hisp anic, or Latino origin. Information on the total number of operators and total number of women operators was collected from each operation. In additi on, the principal operator was asked to report the perc entage of total household income that came from the farm operation.

Operators of Spanish, Hispanic, or Latino origin. See Spanish, Hispanic, or Latino origin.

Operators, number. Demographic and other information were collected for up to three operators per farm - the principal operator plus up to two additional operators. This may be fewer than the total operators on some farms. Demographic data for up to three operators reported are presented separately for women, by race categories, and for Spanish, Hispanic, or Latino origin.

Operators, total. The data represent the total reported number of operato rs for the operation.

Operators, total women. The data represent the total number of women ope rators reported for the operation.

Oranges, all. All oranges are a summation of Valencia oranges and Other oranges. Total acres, bearing acres, and nonbeari ng acres were collected by category.

Oranges, other. See Other oranges.

Organic agriculture. See Total acres used for organic production and Tota l organic product sales.

Ornamental fish. This category includes various fish raised for water gardens, aquariums, etc. Examples include angel fish, guppies, koi, ornamental goldfish, and trop ical fish. In the 2007

census the value of sales was tabulated for each specified species. In the 2002 census only total aquaculture value of sales was asked.

Other animals and other animal products sold. This category includes the number of farms and

value of all animals and an imal products not having specific codes on the 2007 report form.

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# Other aquaculture products. In the 2007 census, examples include the produc tion of alligators, frogs, leeches, eels, live rock, salamanders and turtles. Data are not comparable with the 2002 census since

other fish were listed se parately on the 2002 report form and in 2007 it is included in other aquaculture products.

Other cattle. In the 2007 census, data include heifers that have not calved, steers, calves, and bulls.

Other cattle, livestock, poultry, or aquaculture.

See Commodities raised and delivered under production contract.

Other citrus. In the 2007 census, data relate to any citrus crop not having a sp ecific code on the report form. For 2007 data includes K-early citrus which was published as its own category in 2002 therefore data are not comparable with 2002.

Other cropland. This includes all cropland other than harvested cropland or cropland used only for pasture or grazing.

Other crops and hay. For the 2007 census, data are

for the total market value of all crops not categorized into one of the prelisted crop sales categories on the report form and hay sales. This category includes crops such as grass see d, hay and grass silage, haylage, greenchop, hops, maple syrup, mint for oil, peanuts, sugarcane, sugarbeets, etc.

Other crops. Data relate to an y field crops not having a specified code on the 2007 census report form. Amaranth, foxtail millet seed, lotus root, mungbeans, redtop seed, salt hay, and sweet rice were included in other field crops in the 2007 report form but were reported individually on the 2002 report form. The 2002 data, where compared, were not adjusted for these crop acreages.

Other-farm related income sources. See Total income from farm-related sources, gross before taxes and expenses.

Other field and grass seed crops. Data relate to any field or grass seed crop not having a specified code on the 2007 census report form. Sweet clover

seed was included in othe r seed crops in the 2007 report form but were repor ted individually on the 2002 report form. The 2002 data, where compared, were not adjusted for this crop acreage.

Other floriculture and bedding crops. This is a new item for 2007. In 2002, data were reported in other nursery and greenhouse.

Other food fish. Data are for fish, other than catfish and trout, raised on farms for food. Examples include hybrid striped ba ss, moi, perch, salmon, sturgeon, and tilapia.

Other greenhouse vegetables and fresh cut herbs. This is a new item for 2007. In 2002, these data were included with greenhouse produced vegetables.

Other land. This category includes land in house lots, barn lots, ponds, roads, ditches, wasteland, etc.

It includes those acres in the farm operation not classified as cropland, pastureland, or woodland.

See Land in farms.

Other livestock. This category includes all livestock not having specific codes on the 2007 report form. See Other animals and other animal products sold.

Other livestock and poultry purchased or leased. See Total farm production expenses.

Other livestock products. Data for this category

include the number of farms that sold livestock products that did not have a specific code on the 2007 report form.

Other noncitrus fruit. Data relate to any noncitrus fruit not having a specific code on the census report

form.

Other nursery crops. This is a new item in 2007. It includes nursery crops not having specific codes on the report form. In 2002, data were reported in other nursery and greenhouse.

Other nuts. This category includes any nut crop not having a specific code on the report form. In 2007, data were collected for chestnuts separately while in

2002 chestnuts were included in Other nuts. Data are not comparable.

# 2007 CENSUS OF AGRICULTURE APPENDIX B B-19

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# Other oranges. Data are for Oranges other than Valencia oranges, including Navel oranges.

Other poultry. Data are for other poultry not having a specific code on th e report form. Data are comparable.

Other tame hay. See Hay, other tame dry hay.

Other vegetables. Data shown for other vegetables relate to any vegetable not having a specific code on the census form. In the 2007 census, data were collected separately for horseradish while in 2002 horseradish was included in other vegetables. Data are not directly comparable.

Patronage dividends. See Total income from farmrelated sources, gross before taxes and expenses.

Payments received by the contractee for commodities produced under contract. These data

show the number of farms and the dollar amount the

contractees received fr om contractors for commodities produced under contract. This is not the market value of the commodities delivered, but the payment or fee the operators received for

commodities delivered. For market value of the

commodities delivered see Commodities raised and delivered under pr oduction contracts.

Peaches, all. Data for all peaches were collected as a category in all States except for California and

Arizona. Peach data in Ca lifornia and Arizona were collected separately for clingstone and freestone peaches. The data were later combined with all peaches for publication. Data for clingstone and

freestone are found in the California and Arizona publications only.

Pears, all. Data for all pears were collected as a category in all States except for California, Arizona, Idaho, Oregon, Alaska, and Washington. These States collected data separa tely for Bartlett pears and Other pears which were later combined into the Pear, all category. Data for Bartlett and other pears are found only in the State public ations where collected.

Pecans, all. All pecans is a summation of Pecans, improved and Pecans, native and seedling. Total acres, bearing acres, and nonbearing acres were collected by category in the 2007 census. In the 2002 census, total acres, bearing acres, and nonbearing acres were collected only as all pecans.

Pecans, improved. This is a new item for the 2007 census. Improved pecans are varieties that have been genetically altered through breeding and grafting techniques to pr oduce more nuts, and nuts with a greater percentage of nut meat. See Pecans, all for further explanation.

Pecans, native and seedlings. This is a new item

for the 2007 census. Native pecans are varieties that developed under natural c onditions. Seedling pecans are produced from seed (the nut) and have not been budded or grafted. See P ecans, all for further explanation.

Peppers, Bell (excluding pimientos). The wording was improved to exclude pimientos which were reported as other vegetables.

Peppers, other than bell (including chile). The

data includes all other peppers including chile. Pimientos were reported as other vegetables. In 2002 this category was referre d to as Peppers, chile (all peppers, excluding bell). This is a wording change only; all data are comparable.

Permanent pasture and rangeland, other than cropland and woodland pastured. This land use category encompasses grazable land that does not qualify as woodland pasture or cropland pasture. It may be irrigated or dry land. In some areas, it can be a high quality pasture that could not be cropped without improvements. In other areas, it is barely able to be grazed and is onl y marginally better than wasteland. In 2002 this category was referred to as Pastureland and rangeland, other than cropland pastured. This is a wordi ng change only; all data are comparable.

Plums . This was reported as an individual item only in California and Arizona. All other States reported plums in a combined plum and prune category.

Pluots. This is a new item for 2007. Pluots were reported as an individual item only in California, Arizona, Idaho, Oregon, Alaska, and Washington. In all other States pluots were repo rted in the Other non-citrus category.

# B-20 APPENDIX B 2007 CENSUS OF AGRICULTURE

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# Potatoes. In 2007 potato acres are included in the vegetable acres. Data are for total acres harvested, acres harvested for fresh market, and acres harvested for processing. Production was not collected. In 2002 potatoes acreage and production were included in the acres for field crops.

Poultry hatched. This category includes all poultry hatched on the operation during the year. The number of poultry hatched is under the Sold heading for both years.

Poultry, other. See Other poultry.

Primary occupation of operator. Data on age and primary occupation were obtained from up to three operators per farm. The primary occupation

classifications used were:

1. Farming or ranch work. The operator spent 50- percent or more of his/ her worktime during 2007 at farming or ranching.

2. Other. The operator spent less than 50-percent of his/her worktime during 2007 in farming or ranching operations.

Principal operator. The person primarily responsible for the on-site, day-to-day operation of the farm or ranch business. This person may be a hired manager or business manager. See Operators for further explanation.

Production contracts. See Commodities raised and delivered under pr oduction contracts.

Production expenses. See Total farm production

expenses.

Prunes . This was reported as an individual item only in California and Arizona. All other States reported prunes in a combined plum and prune category.

Pullets for laying flock replacement. Data are for pullet inventory and the number sold or moved for laying flock replacement.

Race of operator. Data, except for Hawaii, were collected for American Indian (included Alaska Native), Asian, Black or African American, Native Hawaiian and Other Pacific Islander, and White. Respondents were asked to ma rk one or more of the race categories. In Hawa ii operator race data were collected for American Indian (included Alaska Native), Chinese, Filipin o, Japanese, Korean, Other Asian, Black or African Am erican, Native Hawaiian, other Pacific Islander, a nd White. The combination

of Native Hawaiian and Other Pacific Islander is equivalent to the Native Hawaiian or Other Pacific Islander category on the other forms. The combination of the Chinese, Filipino, Japanese, Korean, and Other Asian categ ories is equivalent to the Asian category on the other forms. The Volume 1, Geographic Area Seri es, U.S. Summary publication only displays c ounts for the categories of

Native Hawaiian and Other Pacific Islander and Asian. Data for the 11 Hawaii race categories are published in chapter 2 of the Hawaii publication of

the Volume 1 series.

Raspberries, all. In 2007, raspberries were reported as All raspberries except in Alaska, Idaho, Oregon, and Washington where they were reported as black raspberries or red raspberries. In these States, black raspberries and red raspberries data were combined as Raspberries, all for comparability with other States. In 2002, raspberries were reported as all raspberries except in Idaho, Oregon, and Washington.

Raspberries, black. See Raspberries.

Raspberries, red. See Raspberries.

Rental of farmland. See Total income from farmrelated sources, gross before taxes and expenses; Gross cash rent or share payments.

Sales, total. See Market value of agricultural products sold.

Sheep and lambs inventory. Data are for sheep and lambs of all ages owned rega rdless of location. In 2007 sheep and lambs were collected in their own section to clarify to re spondents that only “owned” sheep and lambs were to be reported versus any sheep and lambs on the operation.

Short-rotation woody crops. Data are for short-

# 2007 CENSUS OF AGRICULTURE APPENDIX B B-21

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# rotation woody crops that grow from seed to a mature tree in 10 years or less. These are trees for use by the paper or pulp i ndustry or as engineered

wood. This does not include lumber. Acres in production were included in Cropland harvested in the “Land” section of the report form.

Size of farm. See Farms by size.

Sorghum for syrup (gallons). Data are for sorghum syrup produced. 2002 data were collected as pounds produced so the 2002 data were divided by 11.55 to convert the pounds to gallons.

Squash, all. All squash is a summation of summer squash and winter squash. Total acres, acres for fresh market, and acres for processing were collected by category in the 2007 censu s. In the 2002 census, total acres and acres for pr ocessing were collected as all squash.

Squash, summer. This is a new item for the 2007 census. See Squash, all.

Squash, winter. This is a new item for the 2007 census. See Squash, all.

Spanish, Hispanic, or Latino origin. Operators of Spanish, Hispanic, or Latino origin are found in all of the racial groups listed in the census and were tabulated according to the race reported, as well as on tables pertaining only to this group.

Sport or game fish. Data are for sport or game fish and it includes fish raised to restock public waters or for sale at fee fishing operations. Examples include bluegill, crappie, largem outh bass, smallmouth bass, sunfish, muskie, northern pike, walleye, and sunfish.

Sweet potatoes. In 2007 sweet potato acres are included in the vegetable acres. Data are for total acres harvested, acres harvested for fresh market, and acres harvested for processing. Production was not collected. In 2002 sweet potatoes acreage and production were included in the acres for field crops.

Tame hay. See Hay, other tame dry.

Tenure . See Farms by tenure of operator. Tobacco transplants. This is a new item for 2007. Data are for tobacco transplants that were sold for transplant to farm fields . Transplants grown for transplanting to the same operation were not reported or removed during data re view. In 2002, data were reported as Other nursery and greenhouse.

Tomatoes in the open. Data are for tomatoes grown in the open. In 2007 the wording “in the open” was added to clarify between tomatoes grown in open fields versus tomatoes grown under cover. Data are comparable.

Total acres used for organic production . This is a new item in the 2007 census. Respondents were

instructed to re port organic production as defined by the National Organic Sta ndards while in 2002 only acreage of certified organi cally produced crops was collected. Organic acreage is divided into organic crops and organic pastur e. The count of farms producing organic crops ma y differ from that found in other sources because this item is self reported by respondents. No attempt was made to verify reports with certifying organic organizations. The acres reported for organic crops must be less than or equal to the acres reported as cropland harvested for each operation.

In 2002, data were collected for the number of acres used to raise certified organically produced crops. This was replaced in 2007 w ith acreage and value of sales of organically pr oduced commodities. For certified production, only a “Yes” or “No” response question was asked in the “Organic Agriculture”

section. The 2007 data do not compare with 2002

Land used to raise certif ied organically produced crops. See Total organic product sales.

Total cropland. This category includes cropland harvested, cropland used only for pasture or grazing, cropland on which all crops failed or were abandoned, cropland in cultivated summer fallow, and cropland idle or used for cover crops or soil improvement but not harves ted and not pastured or grazed.

Total farm production expenses. Includes the production expenses provi ded by the operators, partners, landlords (excl uding property taxes), and production contractors for the farm business in 2007.

# B-22 APPENDIX B 2007 CENSUS OF AGRICULTURE

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# Tenant farmers reported expenses paid by landlords for the agricultural pro duction on the operation, as well as their expenses. Fa rm or ranch operators who rented part of their land to others reported only the expenses for the land they actually used themselves and not expenses for land rented to others. The 2007 total farm production expend iture includes all farmrelated expenses such as customwork, fuel costs, cost of cutting timber, services provided to hunters, cooperative membership fees, etc. However, if the income from these farm-related categories was not considered a part of the ope ration (i.e., if the income was regarded as derived from a separate business), then the associated expenses were not included. The contractor’s portion of expe nses was solely based on computer generated estimates for 2007.

This item excludes expenses relating to non-farm activities such as trading and speculation in the commodities market or livestock trading activities. Explanations of selected production expenses are

listed below.

All other production expenses. This category includes all expenses not lis ted on the report form. Examples include animal health costs, storage and warehousing, marketing and ginning expenses, insurance, etc. Health expenses and payroll taxes

were excluded.

Breeding livestock purchased or leased. These expenses include all breed ing livestock and poultry purchased or leased during 2007 for production on the farm or ranch. The total includes amount spent for beef and dairy cows, heifers, bulls, sows, gilts, boars, rams, lambs, ewes, roosters, hens, layers, etc. Estimations of the value of livestock or poultry fed

on a custom basis were to be made based on their value when they arrived on the farm or ranch. In 2002 data were only collected for purchased breeding livestock. Data are not directly comparable.

Cash rent paid in 2007 for land and buildings.

These data include the co st of renting land and buildings that were part of the operation. Rent paid for the operator’s dwelling or other non-farm property and the value of the shares of crops and livestock paid to landlords were excluded. Chemicals. These 2007 expenses include insecticides, herbicides, fungicides, and other pesticides, including costs of custom application. Data exclude commercial fertilizer purchased.

Contract labor. These data include payments made to contractors, crew lead ers, cooperatives, or any other organization hired to fu rnish a crew of laborers to do a job that may involve one or more agricultural operations. In some cases, a crew leader may furnish some equipment. Data exclude expenses made on a contractual basis for repair or maintenance or for capital improvements, such as construction of farm buildings, installation of fenc es or irrigation systems, and land leveling.

Customwork and custom hauling. These expenses include costs incurred for having customwork done on the place and for renting machines to perform agricultural operations. The cost of cotton ginning is

excluded. The cost of labor involved in the

customwork service is included in the customwork expense. Some examples of customwork are planting, spraying, harves ting, preparation of products for marketing, grinding and mixing feed, corn picking, grain drying, and silo filling. The cost of custom application of fertilizer and chemicals is included in expenditures for fertilizer and chemicals in 2007, just as it was in the 2002 census. The cost of hired labor for opera ting rented or hired machinery is included as a hired farm and ranch labor expense.

Feed purchased. These expenses include the cost of

all feed for livestock a nd poultry including grain, hay, silage, mixed feeds, c oncentrates, etc. during

2007.

Fertilizer, lime, and soil conditioners. These 2007 expenses include fertilizer and lime including rock phosphate and gypsum, and the costs of custom application.

Gasolines, fuels, and oils. These expenses include the cost of all gasoline, di esel, natural gas, LP gas, motor oil, and grease products for the farm during 2007. Expenses exclude fuel for personal use of automobiles by the family and others, fuel used for cooking and heating the farmhouse, and any other use outside of farmwork on the operation.

# 2007 CENSUS OF AGRICULTURE APPENDIX B B-23

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# Hired farm labor. These 2007 expenses include the total amount paid for farm or ranch labor including regular workers, part-time workers, and members of the operator’s family if they received payments for labor. Expenses include soci al security taxes, State taxes, unemployment tax, payment for sick leave or vacation pay, workman’s compensation, insurance premiums, and pension plans.

Interest paid on debts. These expenses include interest and finance charges paid in 2007 for debts secured by real estate and on debt not secu red by real estate. Interest expenses excluded from this category are non-farm interest expenses and interest expenses originating from machinery and equipment used for a separate customwork business or for other operations. Interest expense for the operator’s dwelling, where the amount is separate from interest on farm land and buildings on the operation, is excluded. Interest paid on debts was reported in one of two categories:

1. Secured by real estate. These data include all interest expenses paid in 2007 on debts secured by real estate for the farm.

2. Not secured by real estate. These data include all interest expenses paid in 2007 on debts secured by machinery, tractors, trucks, other equipment, livestock, poultry, breeding stock, money borrowed for use as working capital, and interest paid on CCC loans for the farm.

Livestock and poultry purchased or leased. These data include Breeding livesto ck purchased or leased and Other livestock and poultry purchased or leased.

Other livestock and poultry purchased or leased. These expenses include all non-breeding livestock and poultry purchased or leased during 2007 for production on the farm or ranch. The total includes amounts spent for cattle, calves, hogs, pigs, sheep, hatchery eggs, etc. In 2 002 data were on ly collected for purchased livestock and poultry. Data are not directly comparable.

Property taxes paid. These data include property taxes paid by the operators for the farm share of land, machinery, buildings, and livestock, excluding taxes paid by this operator’s landlords. Rent and lease expenses for machinery, equipment, and farm share of vehicles . These data include the farm share cost of renting or leasing machinery, equipment, and vehicles during 2007. Rental and lease expenses of items used only for custom hire are

excluded here.

Repairs, supplies, and maintenance. These expenses include all costs for the repair and upkeep of buildings, motor vehicles, fences, and farm equipment used for the farm business during 2007. Repairs to equipment used both for the farm business and for performing customwork are included.

Seeds, plants, vines, and trees. These expenses include the cost of all seeds, bulbs, plants, propagation materials, trees , seed treatments, seed cleaning costs, etc. purchased during 2007. Excluded were items purchas ed for immediate resale or the value of seed grown on this place.

Utilities. These data show the farm share cost of electricity, telephone charges, internet fees, and water purchased in 2007. In cluded in the water cost is water purchased for irri gation purposes, livestock watering, etc. Household u tility costs were excluded

from these items.

Total greenhouse vegetables and fresh cut herbs. This category includes greenhouse tomatoes and other greenhouse vegetables and fresh cut herbs. In 2002 this category was refe rred to as greenhouse vegetables. This is only a wording change; all data are comparable.

Total income from farm-related sources, gross before taxes and expenses. This includes gross

income from farm-related sources received in 2007 before taxes and expenses from the sales of farm byproducts and other sales and services closely related to the principal functions of the farm

business. The data exclude income from employment or business activities which were separate from the farm business. Categories that make up the farm-related income calculation changed between the 2002 and 2007 censuses. In the 2007 census, Crop and livestock insurance payments received and Amount from State and local government agricultural program payments are published separately. In the 2002 census, these

# B-24 APPENDIX B 2007 CENSUS OF AGRICULTURE

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# categories were combined with Other farm-related

income sources.

Agri-tourism and recreational services. This income

includes income from recrea tional services such as hunting, fishing, farm or wine tours, hay rides, etc. In the 2002 census, this category was referred to as Recreational Services. This is a wording change only; all data are comparable.

Amount from State and local government agricultural program payments. This is a new item

for 2007. This income in cludes State and local government agricultural program payments. Respondents were to excl ude the State and local portion of CREP payments if they were reported in the amount received for participation in CREP in section 4, item 1a of the report form. In 2002 this

income was included with Other farm-related

income sources.

Crop and livestock insuran ce payments received.

This is a new item for 2007. This income includes insurance payments from crop and livestock losses.

In 2002 this income was combined with Other farmrelated income sources.

Customwork and other agricultural services. This income includes gross receipts received by the farm operators for providing services for others such as planting, plowing, spraying, and harvesting. Income from customwork and other agricultural services is generally included in the agriculture census if it is closely related to the farm ing operation. However, it is excluded if it constituted a separate business or

was conducted from another location.

Gross cash rent or share payments. This income includes gross cash or share payments received from renting out farmland, payments received from the lease or sale of allotments, and payments received for livestock pastured on a per-head, per month, or per pound basis. It excludes rental income from nonfarm property.

Other-farm related income sources. This is other income which is closely related to the agricultural operation. This income includes animal boarding, breeding fees (horse breeding or stud fees received were reported in the Value of Sales section in the Other animals and other animal products category), tobacco quota buyouts, State fuel tax refunds, farm generated energy, etc. In the 2007 census, crop and livestock insurance payments received and amount from State and local government agricultural program payments were published separately. In the 2002 census, these categories were combined with

other farm-related income sources. Data are not comparable.

Patronage dividends and refunds from cooperatives. This income includes payments to a farmer or

rancher for business done with a cooperative to which he/she usually belongs. The payment is usually for goods sold through the co-op.

Sales of forest products. This income includes gross receipts from sales of standing timber, pulpwood, firewood, etc. from the farm or ranch operation. It excludes income from nonfarm timber tracts, sawmill businesses, cut Christmas trees, maple products, and short-rotation woody crops.

Total operators. See Operators, total.

Total organic product sales. This is a new item for the 2007 census. The data represent the value of organically produced agricultural commodities sold from operations during 2007. It was the intention of the question to collect the value of those products that were produced as organic according to the National Organic Standards. These sales may come from either crop or livestock production and are divided into three categories:

1. Sales for crops, including nursery and greenhouse crops.

2. Sales for livestock and poultry.

3. Sales for livestock and poultry products. Sales data are not comparable.

Total sales. See Market value of agricultural products sold.

Total market value of agr icultural products sold and government payments. This category represents the value of products sold plus government payments. Total value of products sold

# 2007 CENSUS OF AGRICULTURE APPENDIX B B-25

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# combines total sales not under production contract and total sales under production contract. Government payments consist of government payments received from the Conservation Reserve Program (CRP), Wetlands Reserve Program (WRP), Farmable Wetlands Program (FWP), or Conservation Reserve Enhancement Program (CREP) plus government payments received from Federal, State, and local programs other than the CRP, WRP, FWP, and CREP, and Commodity Credit Corporation loans.

Trucks, including pickups. This is a new item for

2007. The data were last published in the 1997

census.

Turkeys. In the 2007 census, turkey data are a combination of turkeys for meat production and turkey hens kept for breeding tabulated from two questions. The number of turkeys sold includes turkeys sold for slaughter or moved to other farms, which may result in a turkey being sold more than once from different operations. In the 2002 census, turkey inventory and sales were tabulated in one question.

Type of organization. See Farms by type of organization.

Typology. See Farm typology.

Utilities. See Total farm production expense.

Value of agricultural products sold directly to individuals for human consumption. This item represents the value of agricultural products produced and sold directly to individuals for human consumption from roadside stands, farmers’ markets, pick-your-own sites, etc. It excludes non-edible products such as nursery crops, cut flowers, and

wool but includes livestock sales. Sales of agricultural products by ve rtically integrated operations through their own processing and marketing operations were excluded.

Value of commodities. Data show the number of

farms and the market value of all commodities delivered under a production contract.

Value of landlord’s share of total sales. Data include the value of agricultu ral sales received by the

landlords.

Value of organically produced commodities. See Total organic product sales.

Value of sales. See Market value of agricultural products sold.

Vegetable transplants. This is a new item for 2007. Data are for vegetable tr ansplants grown and sold from this operation for transplanting to fields on another operation. In 2002 vegetable transplants were reported as other nursery and greenhouse.

Vegetables harvested for fresh market. This is a new item for the 2007 census. Respondents reported the total vegetable acres harvested, harvested for processing, and harvested for fresh market.

Vegetables harvested for sale. The acres of vegetables harvested is the summation of the acres of individual vegetables ha rvested. All of the individual vegetable items may not be shown. When more than one vegetable crop was harvested from the same acreage, acres we re counted for each crop. In 2007, ginseng, potatoes, and sweet potatoes are included in vegetables ha rvested. In 2002, these acres were included in field crops. The 2002 data, where compared, were not adjusted to include ginseng, potatoes, and sweet potatoes acreage.

Vegetables, melons, and potatoes. See Commodities raised and delivered under production

contracts.

Vegetables, other. See Other vegetables.

Wheat for grain. Data were reported by type of wheat - Durum, winter, and spring other than

Durum.

Woodland pastured. This category includes all woodland used for pasture or grazing during the census year. Woodland or fo rest land pastured under a per-head grazing permit was not counted as land in farms and, therefore, was not included in woodland pastured.

Woodland, total. This category includes natural or

# B-26 APPENDIX B 2007 CENSUS OF AGRICULTURE

USDA, National Agricultural Statistics Service 

# planted woodlots or timber tracts, cutover and deforested land with young growth which has or will have value for wood products and woodland pastured. Land covered by sagebrush or mesquite was reported as Permanent pastureland and rangeland or other land. Land planted for Christmas tree production and short rotation woody crops was reported in Cropland harves ted, and land in tapped maple trees was reported as Woodland not pastured.

Write-in crops. To reduce the length of the report form, only the major crops for each region were prelisted on the regional report forms. For other crops, the respondent was asked to look at a list of crops in each section and write in the crop name and its code. For crops that had no individual code listed on the report form, the respondent was to write in the crop name and code of the appropriate ‘‘all other’’ category for that section. Write-in crops coded as

‘‘all other’’ were reviewed and assigned a specific code when possible. Crops not assigned a specific code were left in the appropriate ‘‘all other’’ category. The national report form was an open table design so most of the commodities were reported as write-in commodities.

# 2007 CENSUS OF AGRICULTURE APPENDIX B B-27

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# B-28 APPENDIX B 2007 CENSUS OF AGRICULTURE

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# 2007 CENSUS OF AGRICULTURE APPENDIX B B-29

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# B-30 APPENDIX B 2007 CENSUS OF AGRICULTURE

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# 2007 CENSUS OF AGRICULTURE APPENDIX B B-31

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# B-32 APPENDIX B 2007 CENSUS OF AGRICULTURE

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# 2007 CENSUS OF AGRICULTURE APPENDIX B B-33

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# B-34 APPENDIX B 2007 CENSUS OF AGRICULTURE

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# 2007 CENSUS OF AGRICULTURE APPENDIX B B-35

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# B-36 APPENDIX B 2007 CENSUS OF AGRICULTURE

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# 2007 CENSUS OF AGRICULTURE APPENDIX B B-37

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# B-38 APPENDIX B 2007 CENSUS OF AGRICULTURE

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# 2007 CENSUS OF AGRICULTURE APPENDIX B B-39

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# B-40 APPENDIX B 2007 CENSUS OF AGRICULTURE

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# 2007 CENSUS OF AGRICULTURE APPENDIX B B-41

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# B-42 APPENDIX B 2007 CENSUS OF AGRICULTURE

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# 2007 CENSUS OF AGRICULTURE APPENDIX B B-43

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# B-44 APPENDIX B 2007 CENSUS OF AGRICULTURE

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# 2007 CENSUS OF AGRICULTURE APPENDIX B B-45

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# B-46 APPENDIX B 2007 CENSUS OF AGRICULTURE

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# 2007 CENSUS OF AGRICULTURE APPENDIX B B-47

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# B-48 APPENDIX B 2007 CENSUS OF AGRICULTURE

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# 2007 CENSUS OF AGRICULTURE APPENDIX B B-49

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# B-50 APPENDIX B 2007 CENSUS OF AGRICULTURE

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# 2007 CENSUS OF AGRICULTURE APPENDIX B B-51

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# B-52 APPENDIX B 2007 CENSUS OF AGRICULTURE

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# 2007 CENSUS OF AGRICULTURE APPENDIX B B-53

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# B-54 APPENDIX B 2007 CENSUS OF AGRICULTURE

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# 2007 CENSUS OF AGRICULTURE INDEX 1

USDA, National Agricultural Statistics Service 

# Index

Items located in the publications are organized in br oad categories. Chapter 1 tables are denoted by I. Chapter 2 tables are denoted by II. Appendi x A tables are denoted by letters A–D.

Item Land Crops Livestock Economics Demographics Practices Misc.



# A

Acres (see Land in farms)

Age of -

All operators I -58 - - I -59,60 I -49, 51, 53, 57, 61,63,65

- I -62,64; A, B

Principal operator I -58

- - I -59,60 I -1, 49,51,53, 54, 56,57,61, 63, 65; II -1,46 I -48 I -62,64; A,B

Second operator

- - - - I -49, 51,57

- - Third operator

- - - - I -49, 51,57

- - Agri-tourism and recreational

services I -58 - - I -7; II -6

- - -

Agricultural chemicals purchased I -58

- - I -1,4,59,60; II -3 I -61,63,65 I -11,45 I -62,64

Agricultural products sold, market

value I -58

- - I -1-3,40,59, 60;

II -1 I -52,54,55, 61, 63, 65 I -11,48 I -47,62,64

Alfalfa hay I -58 I -32,33;

II -27

- I -59,60 I -61,63,65

- I -62,64

Alfalfa haylage - I -33 ; II -27

- - - - - Alfalfa seed

- I -33; II -27

- - - - -

American Indian or Alaska Native

operators I -58

- - I -59,60 I -51,53-57, 61,63,65; II -51

- I -47,62,64;

A

, B, D

Almonds I -58 I -35; II -32

- I -59,60 I -61,63,65

- I -62,64

Alpacas

- - I -31; II -24

- - - -

Angora goats

- - I -31; II -19

- - - -

Apples I -58 I -35; II -32

- I -59,60 I -61,63,65

- I -62,64

Apricots

- I -35; II -32

- - - - -

Aquaculture I -58

- I -31; II -23 I -2,40,59,60;

II -2 I - 61,63,65

- I -46,62,64

Aquatic plants

- I -37; II -35

- - - - - Artichokes

- I -34; II -30

- - - - -

Asian operators I -58

- - I -59,60 I -51,54-57, 61, 63, 65; II -52

- I -47,62,64; A, B

Asparagus

- I -34; II -30

- - - - - Austrian winter peas

- I -33; II -26

- - - - -

Average size of farm I -1,58;

II -1,8

- - I -40,59,60 I -61,63,65 - I -63, 64

Avocados

- I -35; II -32

- - - - - 

# B

Bahia grass seed

- II -27

- - - - - Baitfish

- - II -23

- - - -

Bananas - I -35; II -32

- - - - -

Barley for grain I -58 I -1, 32,33;

II - 1,25,26

- I -2,59,60; II -2 I -61,63,65

- I -62,64

Barn built prior to 1960

- - - - - II -44 -

# 2 INDEX 2007 CENSUS OF AGRICULTURE

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## Item Land Crops Livestock Economics Demographics Practices Misc.

Beans -

Green limas

- I -34; II -30

- - - - -

Dry edible I -58 I -1,32,33;

II -1,25,26

- I -2,59,60 1 -61,63,65

- I -62,64; II -1

Dry limas

- II -26

- - - - - Snap I -58 I -34; II -30

- I -59,60 1 -61,63,65

- I -62,64

Bedding/Garden plants - I -37; II -35

- - - - -

Beef cows I -58

- I -1,12,16;

II -1,11,16 I -59,60 I -61, 63, 65 I -11 I -47, 62, 64;

II -45 Bees, colonies

- - I -31; II -21

- - - I -46

Beets - I -34; II -30

- - - - - Bell peppers

- I -34; II -30

- - - - - Bentgrass seed

- II -27

- - - - - Bermuda grass seed

- II -27

- - - - -

Berries, land in I -58 I -32,33,36;

II -33,34

- I -40,59,60; II -2 I -61,63,65

- I -62,64

Birdsfoot trefoil seed

- II -27

- - - - -

Bison

- - I -31; II -24

- - - -

Black or African American

operators I -58

- - I -59,60 I -51, 53, 54, 55,56,57,61,63, 65; II -53

- I- 47,62,64; A, B

Blackberries - I -36; II -34

- - - - - Blueberries - I -36; II -34

- - - - -

Boysenberries

- I -36; II -34

- - - - - Breeding livestock purchased,

expense - - - I -4,59; II -3

- - Broccoli

- I -34; II -30

- - - - - Broilers and other meat-type

chickens I -58 - I -27

II -13 I -59,60 I -61,63,65 I -41; II-40 I -1,62,64;

II -1

Bromegrass seed

- II -27

- - - - -

Brussels sprouts

- I -34; II -30

- - - - - Buckwheat - II -26

- - - - - Bulbs, corms, tubers, and rhizomes

- I -37; II -35

- - - - - Bureau of Reclamation, irrigation

water - - - - - II -44 - Burros (see Mules, burros, and

donkeys) 

# C

Cabbage -

Chinese

- I -34; II -30

- - - - -

Head

- I -34; II -30

- - - - - Mustard

- I -34; II -30

- - - - - Canola

- I -33; II -26

- - - - - Cantaloupes - I -34; II -30

- - - - -

Carrots

- I -34; II -30

- - - - -

Cash rent expense I -58

- - I -4,59,60; II -3 I -61,63,65 I -11 I -62,64 Cash rent or share payments

received I -58

- - I -7,59,60; II -6 I -61,63,65 - I -62,64

Catfish

- - II -23

- - - -

Cattle and calves I -58

- I -1,11-18;

II -1,11 I -2,13,15-18,40- 41,59,60; II -2 I -58, 61, 63-65 I -11,41; II -44 I -62,64

Cattle and calves, herd size - - I -12-18;

II -11 I -13-18,59,60 - - -

Cattle feedlots I -58 - I -12-13, 16, 18; II -11,45 I -59, 60, 62 I -55, 61,63,65

- I -62

Cauliflower - I -34; II -30

- - - - -

# 2007 CENSUS OF AGRICULTURE INDEX 3

USDA, National Agricultural Statistics Service 

## Item Land Crops Livestock Economics Demographics Practices Misc.

Celery

- I -34; II -30

- - - - - Certified organic products, sales

value I -58

- - I -59,60 I -61,63,65 I -48 I -62,64

Chemicals

- - - I -40,59, 60; II -3 I -61,63,65 I -45 I -62,64

Cherries -

Sweet

- I -35; II -32

- - - - -

Tart - I -35; II -32

- - - - - Chestnuts

- I -35; II -32

- - - - - Chicory

- I -34; II -30

- - - - -

Chili peppers

- I -34; II -30

- - - - -

Citrus fruit I -58 I -35; II -32

- I -59,60 I -61,63,65

- I -46,62,64

Coffee

- I -35; II -32

- - - - -

Collards

- I -34; II -30

- - - - -

Colonies of bees

- - I -31; II -21 - - - -

Combined market value of

agricultural products sold and government payments I -58

- - I -3,59,60 I -50, 52, 54, 55, 61,63,65 - I -62,64

Combines, grain and bean I -58

- - I -44,59,60; II -41 I -61,63,65

- I -62, 64

Commercial fertilizer I -58

- - I -4,59,60; II -3 I -61,63,65 I -11,45; II -42 I -62, 64

Commodity certificates -

- - I -6

- - -

Commodity Credit Corporation loans I -58

- - I -6,59,60; II -5 I -50,52,54, 55,61, 63, 65 I -11 I -62

Community supported agriculture - - - - - II -44 -

Computer use I -58

- - I -59,60 I -50,52,54, 55, 61,63,65; II -46

- I -62

Conservation practices I -8,58 - - I -59,60 I -61,63,65 II -44 I -62,64

Conservation Reserve Programs I -8,58;

II -8

- - I -6,59,60; II -5 I -50,52,54,55, 61, 63, 65 I -11 I -62,64

Contract labor expense I -58

- - I -4,59,60; II -3,7 I -61,63,65 I -11 I -62,64

Corn I -58 I -1,32,33;

II -1,25-27,

30

- I -2,59,60; II -2 I -61,63,65

- I -46,62,64;

II -1

Corporations I -58

- - I -59,60 I -50, 52, 54, 55, 61,63, 65;

II -46 - I -62,64; A,B

Cotton -

Pima

- I -1,32,33;

II -1,26

- - - - -

Upland

- I -1,32,33;

II -1,26

- - - - -

Cotton and cottonseed I -58 I -1,32,33;

II -1,25-26

- I -2,40,59,60;

II -2 I -61,63,65

- I -62,64

Cotton pickers and strippers, selfpropelled I -58

- - I -44,59,60;

II -41 I -61,63,65

- I -46,62,64

Counter-cyclical payments - - - I -6 - - -

Coverage adjustment - - - - - - A , C

Cow herd size I -58 - I -12,14-17;

II -11 I -59,60 I -58,61,63-65

- I -62,64

Cowpeas, dry

- II -26

- - - - -

Cowpeas, green

- I -34; II -30

- - - - -

Cows and heifers that calved I -58

- I -12,14-17 I -59,60 I -58,61,63-65

- I -62,64

Crambe

- II -28

- - - - -

Cranberries - I -36; II -34

- - - - -

Crimson clover seed

- II -27

- - - - -

# 4 INDEX 2007 CENSUS OF AGRICULTURE

USDA, National Agricultural Statistics Service 

## Item Land Crops Livestock Economics Demographics Practices Misc. Crop insurance, conservation, and

organic practices I -58; II -8

- - I -59,60 I -61,63,65

- I -62,64

Crop insurance, land covered I -8,58

- - I -59,60 I -61,63,65 - I -62,64

CroplandFor pasture or grazing only I -8,58;

II -8

- - I -59,60 I -61,63,65

- I -62,64

Harvested I -8,9,58;

II -8 I -1,39;

II -1,25,39 - I -40,59,60 I -61,63,65;

II -47 I -10,11 I -46,62,64

Idle or used for soil improvement I -8,58;

II -8

- - I -59,60 I -61,63,65

- I -62,64

On which crops failed I -8,58;

II -8

- - I -59,60 I -61,63,65

- I -62,64

Summer fallow I -8,58;

II -8

- - I -59,60 I -61,63,65

- I -62,64 Crops, including nursery and

greenhouse, value

- I -2; II -2 - I -1; II -1 I -55 I -11 I -47

Crustaceans - - II -23

- - - -

Cucumbers - I -34; II -30

- - - - -

Currants

- I -36; II -34

- - - - - Customwork and custom hauling,

expense I- 58

- - I -4,59,60; II -3 I -61,63,65 I -11 I -62,64 Customwork and other agricultural

services, income I -58

- - I -7,59,60; II -6 I -61,63,65

- I -62,64

Cut Christmas trees

- I -38; II -36

- - - - -Cut Christmas trees and shortrotation woody crops, sales value I -58

- - I -2,40,59,60; II -2 I -61,63,65

- I -62,64

Cut flowers

- I -37; II -35

- - - - -

Cuttings, seedlings, liners, and plugs - I- 37; II -35

- - - - - 

# D

Daikon

- I -33,34;

II -30

- - - - -

Dairy cows

- - I -11-12,17;

II -11

- - I -11 -

Dairy products, sales value I -58

- I -17 I -2,40,59,60; II -2 I -61,63,65

- I -62,64

Dates - I -35; II -32

- - - - -

Days worked off farm I -58 - - I -59,60 I -48, 49, 51, 53, 56,57,61, 63,65; II -46

- I -62,64

Deer - - I -31; II -24

- - - -

Defoliation chemicals applied I -58

- - I -59,60 I -61,63,65 I -45; II -42 I -62,64

Depreciation expense I -58

- - I -4,59,60; II -3 I -61,63,65

- I -62,64

Dill for oil

- II -28

- - - - - Direct payments

- - - I -6; II -5 - - - Direct sales to individuals I -58

- - I -2,59,60; II -2 I -61,63,65

- I -62,64

Diseases, chemical control I -58

- - I -59,60 I -61,63,65 I -45; II -42 I -62,64 Donkeys (see Mules, burros, and

donkeys)

Dry edible beans I -58 I -1,32,33,

II- 1,25,26

- I- 2,59,60 I- 61,63,65

- I -62,64

Ducks

- - I -27; II -13,14

- - - -



# E

Economic class of farms I -58

- - I -3,59,60; II -2 I -50, 52, 54, 55, 61,63,65;

II -47

- I -62,64

Eggs, chicken

- - - - - I -41 ; II- 40 I -46

Eggplant

- I -34; II -30

- - - - -

# 2007 CENSUS OF AGRICULTURE INDEX 5

USDA, National Agricultural Statistics Service 

## Item Land Crops Livestock Economics Demographics Practices Misc.

Elk

- - I -31; II -24

- - - -

Emmer and spelt

- II -26

- - - - -

Emus - - I -27; II -14

- - - -

Equipment and machinery I -58

- - I -1,4,43,44, 59, 60; II -1,41 I -61,63,65 I -11 I -46, 47, 62,64

Escarole and endive

- I -34; II -30

- - - - - Estimated market value of land and

buildings I -58; II -8

- - I -1,40,42,59, 60;

II -1 I -61,63,65 I -11 I -46, 47, 62,

64

Estimated market value of

machinery and equipment

- - - I -40

- I -11 I -1,47,62,64;

II -1

Ewes 1 year and older I -58

- I -28-30; II -16 I -59,60 I -61,63,65

- I -62,64

Expenses paid by landlords I -58

- - I -4,59,60 I -61,63,65

- I -62,64

Expenses, total farm production I -58

- - I -1,4,40,59,60;

II -1,3 I -61,63,65 I -11 I -47,62,64;



# F

Family held corporations I -58

- - I -59,60 I -61,63,65;

II -46

- I -62,64; A,B

Family operations I -58

- - I -59,60 I -50,52,54,55, 61,63,65; II -46

- I -1,62,64; A,B

Farm characteristics - - - - I -50-52,54,55

- I -46; A,B

Farm production expenses I -58

- - I -1, 4,40,59,60;

II -1, 3 I -61,63,65 I -11 I -1,47,62,64;

II -1

Farm size I -58 - - I -59,60 I -50,54,55, 61, 63, 65

- I -1,47, 62,64;

A

, B

Farmer (see Operators)

Farmland, rent income received I -58

- - I -7,59,60; II -6 I -61,63,65

- I -62,64

Farms, number I -8,9,58;

II -8,9 I -32-39;

II -25, 39 I -12-31;

II -11-24 I -2-7, 40, 42-44, 59,60; II -2-7,41 I -49-56, 61, 63,65; II -46-56 I -10,11,41, 45,48; II -10, 40, 42-44 I -1, 46, 47, 62, 64; II -1;

A

- D

Feed purchased, expense I -58

- - I -1, 4,40,59,60;

II -3 I -61,63,65 I -11 I -1,62,64

Fertilizer and chemicals applied I -58 I -45; II -42

- I -59,60 I -61,63,65 I -11,45; II -42 I -62,64 Fertilizer, lime, and soil conditioners

purchased, expense I -58 I -45; II -42

- I -1,4,40,59,60;

II -3 I -61,63,65 I -11,45; I -62,64

Fescue seed

- I -33; II -27

- - - - -

Field and grass seed crops I -58 I -33; II

26,27

- I -59,60 I -61,63,65 - I -62,64

Figs

- I -35; II -32

- - - - -

Filberts (hazelnuts)

- I -35; II -32

- - - - -

Flaxseed - I -33; II -26

- - - - -

Floriculture crops

- I -37; II -35

- I -40,59; II -2

- - - Flower seeds

- I -37; II -35

- - - - - Foliage plants

- I -37; II -35

- - - - -

Forage, all, land used I -58 I -1,32,33;

II -1,25,27

- I -59,60 I -61,63,65

- I -1, 62,64

Forage harvesters, self-propelled I -58

- - I -59,60; II -41 I -61,63,65 I -44 I -62,64

Forest products, sales values I -58

- - I -7,59,60; II -6 I -61,63,65

- I -62,64

Foxtail millet seed

- II -27

- - - - -

Fruit and tree nuts I -58 I -33,35;

II -32

- I -59,60; II -2 I -50,52,54,55, 61,63,65

- I -46,62,64 Fruits, tree nuts, and berries, sales

value I -58

- - I -2,40,59,60; II -2 I -61,63,65

- I -62,64

Fuels purchased, expense I -58

- - I -1,4,40,59,60;

II -3 I -61,63,65 I -11 I -62,64

Full owners I -58

- - I -59,60 I -50,52,54,55, 61,63,65; II -46

- I -47,62,64; A, B

# 6 INDEX 2007 CENSUS OF AGRICULTURE

USDA, National Agricultural Statistics Service 

## Item Land Crops Livestock Economics Demographics Practices Misc.



# G

Gains, net income I -58

- - I -5,59,60; II -4 I -54,61,63,65

- I -62,64

Game or sport fish

- - II -23 - - - -

Garden plants sold

- I -37

- - - - -

Garlic

- I -34; II -30

- - - - - Gasoline, fuels and oils purchased,

expense I -58

- - I -1,4,40,59,60;

II -3 I -61,63,65 I -11 I -1,62,64

Geese

- - I -27; II -13,14

- - - -

Generated energy

- - - - - II -44 -

Ginger root

- II -28

- - - - -

Ginseng

- I -34; II -30

- - - - -

Goats I -58

- I -31; II -17-20 I -2,40,59,60; II -2 I -61,63,65

- I -46,62,64

Government payments, all I -58

- - I -3,6,40,59,60;

II -1,5 I -50, 52, 54, 55, 61,63,65 I -11 I -17,62,64

Grain and bean combines I -58

- - I -44,59,60 I -61,63,65 - I -62,64

Grain storage capacity

- - - - - - I -39; II -39 Grains, oilseeds, dry beans, and dry

peas I -58

- - I -2,40,59,60; II -2 I -61,63,65 I -41, II -40 I -62,64

Grapefruit

- I -35; II -32

- - - - -

Grapes I -58 I -35; II -32

- I -59,60 I -61,63,65

- I -46,62,64

Grass silage

- I -32,33;

II -27

- - - - -

Greenchop I -58 I -32,33;

II -25,27

- I -59,60 I -61,63,65 - I -1,62,64;

II -1

Greenhouse fruits and berries - I- 37; II -35

- - - - -

Greenhouse vegetables - I -37; II -35

- I -37; II -2 - - -

Greenhouse tomatoes - I -37; II -35 - - - - -

Guar

- II -28

- - - - -

Guavas

- I -35; II -32

- - - - -



# H

Harvested cropland I -8,9,58;

II -8,9,46 I -1,33-39;

II -1, 25-39

- I -40,59,60 I -61,63,65;

II -46-47,49 I -10,11,48;

II -10 I -46-47,62,64 Hawaiian (see Native Hawaiian and

Other Pacific Islander)

Hay I -58 I -32,33;

II -27

- I -59,60 I -61,63,65

- I -46,62,64

Hay balers I -58

- - I -44,59,60 I -61,63,65 I -44 I -62,64 Haylage, grass silage, and

greenchop hay

- I -32,33; II

27

- - - - I -1

Hazelnuts (Filberts)

- I -35; II -32

- - - - -

Head lettuce

- I -34 ; II -30

- - - - -

Heifers I -58

- I -12,14-17 I -59,60 I -61,63,65 - I -62,64

Herbs

- I -34,37;

II -28,30,35

- - - - -

Hired farm labor I -58

- - I -1,4,40,59,60;

II -3,7 I -61,63,65 I -11 I -62,64

Hired managers I -58

- - I -59,60 I -50, 52, 54- 55, 61, 63,65

- I -62,64 Hispanic (see Spanish, Hispanic or

Latino origin)

Hogs and pigs I -58

- I -1,19-26;

II -1,12 I -2,40,59,60; II -2 I -61,63,65 I -11,41; II -40 I -62, 64

Honey collected

- - I -31; II -21

- - - -

# 2007 CENSUS OF AGRICULTURE INDEX 7

USDA, National Agricultural Statistics Service 

## Item Land Crops Livestock Economics Demographics Practices Misc.

Honeydew melons

- I -34; II -30

- - - - -

Hops - I -33; II -28 - - - - -

Horseradish - I -34; II -30

- - - - - Horses and ponies I -58

- I -31; II -15 I -59,60; II -2 I -61,63,65

- I -62,64 Horses, ponies, mules, burros, and

donkeys, sales value I -58

- - I -2,40,59,60; II -2 I -61,63,65

- I -62,64

Household income, percent from

farming I -58

- - I -59,60 I -50, 52, 54, 55, 61,63,65

- I -62,64 Households sharing in farm income

I -58

- - I -59,60 I -50, 52, 54- 55, 61, 63,65

- I -62,64



# I

Income from farm-related sources

I -58

- - I -1,7,59,60; II -1,6 I -61,63,65 I -11 I -47,62,64

Insects, chemical control I -58

- - I -59,60 I -61,63,65 I -45 ;II -42 I -62,64

Institutional farms I -58

- - I -59,60 I -50, 52, 54, 55, 61,63,65

- I -1,47,62,64

Insurance payments I- 8,58 ; II- 8

- - I -7,59,60; II -6 I -61,63,65 - I -62,64

Interest expenses I -58

- - I -1,4,40,59,60;

II -3 I -41, 58, 61, 63, 65 I -11 I -1,62,64;

II -46

Internet access I -58

- - I -59,60; II -2 I -50, 52, 54, 55, 61, 63,65

- I -1,62,64;

II -46

Irrigated land I -9,58 I -33; II -25

- I -59,60 I -61,63,65 I -10,11; II -10 I -47,62,64;

II -1



# J

Jojoba

- II -28

- - - - -



# K

Kale

- I -34; II -30

- - - - - Kentucky bluegrass seed - II- 27

- - - - - Kiwifruit

- I -35; II -32

- - - - - Kumquats - I -35; II -32

- - - - - 

# L

Labor expense, hired I -58

- - I -1,4,59,60; II -3,7 I -61,63,65 I -11 I -1,62,64

Ladino clover seed

- II- 27

- - - - - Land and buildings, estimated

market value I -58; II -8

- - I -42,59,60 I -61,63,65 I -11 I -1, 46-47, 62, 64

Land in farms, acres I -1, 8, 9, 58; II -8

- - I -40,59,60 I -50,52,54,55, 61, 63,65;

II -46, 48, 49, 50,51,52,53,54, 55,56 I -11,48 I -46 47, 62, 64; A-C

Land owned I -58

- - I -59,60 I -61,63,65;

II -46 I -11 I -62,64

Land rented or leased to others I -58

- - I -59,60 I -50, 52, 54, 55, 61,63,65

- I -62,64; II -46

Land use I -1,8,58

- - I -59,60 I -61,63,65 I -11 I -1, 46, 47, 62, 64

Land used for vegetables I -58;

II -29 I -33; II -29

- I -59,60 I -61,63,65

- I -1,62,64 Land used to raise certified organic

crops I -58 I -48; II -43

- I -59,60 I -61,63,65 - I -62,64 Landlord's share of production

expenses I -58

- - I -4,59,60 I -61,63,65

- I -62,64

Landlord's share of sales I -58

- - I -2,59,60 I -61,63,65

- I -62,64 Latino (see Spanish, Hispanic or

Latino origin)

Layers I -58

- I -27; II -13 I -59,60 I -61,63,65 - I -1,62,64;

II -1

Leaf lettuce

- I -34; II -30

- - - - -

# 8 INDEX 2007 CENSUS OF AGRICULTURE

USDA, National Agricultural Statistics Service 

## Item Land Crops Livestock Economics Demographics Practices Misc.

Lemons - I -35; II -32

- - - - -

Lentils

- I -33; II -26 - - - - -

Lespedeza seed

- II- 27

- - - - -

Lettuce, all

- I -34; II -30

- - - - - Lima beans-

Green

- I -34; II -30

- - - - -

Dry - II -26

- - - - -

Limes

- I -35; II -32

- - - - - Livestock and poultry purchased,

expense I -58

- - I -1,4,11,40,59,60;

II -3 I -61,63,65 I -11 I -1,62,64;

Livestock inventory I -58

- - I -59,60 I -61,63,65 I -11 I -1, 62,64 Livestock, poultry, and their

products, value

- - I -2; II -2 I -50,52,54-55 I -11 I -1,47; II -1

Llamas

- - I -31; II -24

- - - - Loan deficiency payments -

- - I -6

- - -

Loganberries

- I -36; II -34

- - - - -

Losses, net income I -58

- - I -5,59,60; II -4 I -61,63,65 - I -62,64



# M

Macadamia nuts

- I -35; II -32

- - - - -

Machinery and equipment-

Estimated market value I -58

- - I -1,43,59,60; II -41 I -61,63,65 I -11 I -46, 47, 62,64; II -1

Rent and lease expense I -58

- - I -59,60; II -3,5 I -61,63,65 I -11 I -1,62,64

Mangoes - I -35; II -32

- - - - -

Manure applied I -58

- - I -59,60 I -61,63,65 I -45; II -42 I -62,64

Maple syrup

- I -38; II -38

- - - - - Market value of agricultural

products I -58

- - I -1-3,40,59,60;

II -1,2 I -50,54,55,61, 63,65 I -11,41 I -1,47, 62,64;

II -1; A-C

Meat and other goats

- - I -31; II -20 - - - -

Melons

- I -35; II -30

- - - - -

Migrant workers I -58

- - I -59,60; II -2,5 I -61,63,65;

II -7 - I -62,64

Milk and dairy products, sales value I -58

- - I -2,40,59,60; II -2 I -61,63,65 - I -62,64

Milk cows I -58

- I -1,11,12,17;

II -1,11 I -59,60 I -61,63,65

- I -1,62,64

Milk goats

- - I -31; II -18

- - - -

Mink and their pelts

- - I -31; II -22

- - - -

Mint for oil

- I -33,34;

II- 28

- - - - -

Miscellaneous poultry

- - I- 27; II -14

- - - I -46

Mohair

- - I -31; II -19

- - - -

Mollusks

- - II- 23

- - - -

More than one race, operators I -58

- - I -59,60 I -53,54,56, 61, 63, 65;

II -56

- I -62,64; A, B

Mules, burros, and donkeys -

- I -31; II -24

- - - -

Mushroom spawn

- I -37; II -35

- - - - -

Mushrooms - I- 34,37;

II -30,35

- - - - -

Mustard greens

- I -34; II -30

- - - - -

Mustard seed

- II- 26

- - - - -

# 2007 CENSUS OF AGRICULTURE INDEX 9

USDA, National Agricultural Statistics Service 

## Item Land Crops Livestock Economics Demographics Practices Misc.



# N

Native Hawaiian and Other Pacific

Islander operators I -58

- - I -59,60 I -53,54, 55, 56,57,61, 63, 65; II -54

- I -62,64; A,B

Nectarines

- I -35; II -32

- - - - -

Nematodes, chemical control I -58

- - I -59,60 I -61,63,65 II -42 - Net cash farm income of the

operations and operators I -58 - - I -5,59,60; II -4 I -61,63,65 - I -62,64; II -1

Net gain I -58

- - I -5,59,60; II -4,5 I -61,63,65 - I -62,64; B

Net loss I -58

- - I -5,59,60; II -4,5 I -61,63,65 - I -62,64; B

Noncitrus fruit, all

- I -35; II -32

- - - - I -46

Nonirrigated farms

- - - - - I -11

-

Nonresponse adjustment - - - - - - A - C North American Industry

Classification System (NAICS) - All other animal production (11299)

- - - - - - I -46

All other crop farming (11199) - - - - - - I -46

Animal aquaculture (1125) - - - - - - I -46 Animal aquaculture and other animal production (1125,1129) I -58 - - I -59,60 I - 50, 52, 54, 55, 61, 63, 65

- I -46, 47, 62, 64; II - 45

Animal production (112) - I -39 - - - - I -46

Apiculture (11291)

- - - - - - I -46

Apple orchards (111331)

- - - - - - I -46 Beef cattle ranching and farming including feedlots (11211)

- - - - - - I -46 Beef cattle ranching and farming (112111) I -58 - - I -59,60 I - 50, 52, 54, 55, 61, 63, 65

- I -46, 47, 62, 64; II - 45 Berry (except strawberry) farming (111334)

- - - - - - I -46 Broilers and other meat-type chicken production (11232)

- - - - - - I -46

Cattle feedlots (112112) I -58 - - I -59,60 I - 50, 52, 54, 55, 61, 63, 65

- I -46, 47, 62, 64; II - 45 Cattle ranching and farming (1121)

- - - - - - I -46

Chicken egg production (11231) -

- - - - - I -46 Citrus (except orange) groves (11132)

- - - - - - I -46

Corn farming (11115)

- - - - - - I -46

Cotton farming (11192) I -58 - - I -59,60 I - 50, 52, 54, 55, 61, 63, 65

- I -46, 47, 62, 64; II - 45

Crop farming, all other (11199) I -58 - - I -59,60 I -50,52,54,55 I -61,63,65 I -46,62,64;

II -45

Crop production (111)

- I -39; II -39 - - - - I -46 Dairy cattle and milk production (11212) I -58 - - I -59, 60 I -50, 52, 54, 55, 61,63,65

- I -46,62,64;

II -45

Dry pea and bean farming (11113) -

- - - - - I -46

Floriculture production (111422) -

- - - - - I -46 Food crops grown under cover (11141)

- - - - - - I -46 Fruit and nut combination farming (111336)

- - - - - - I -46; II -45

Fruit and tree nut farming (1113) I -58

- - I -59,60 I -50, 52, 54, 55, 61,63,65

- I -46, 47, 62, 64; II -45 Fur-bearing animal and rabbit production (11293)

- - - - - - I -46

Goat farming (11242)

- - - - - - I -46

# 10 INDEX 2007 CENSUS OF AGRICULTURE

USDA, National Agricultural Statistics Service 

## Item Land Crops Livestock Economics Demographics Practices Misc.

Grape vineyards (111332)

- - - - - - I -46 Greenhouse, nursery, and floriculture production (1114) I -58

- - I -59,60 I -50, 52, 54, 55, 61,63,65

- I -46, 47, 62, 64; II -45

Hay farming (11194)

- - - - - - I -46

Hog and pig farming (1122) I -58

- - I -59,60 I -50, 52, 54, 55, 61,63,65

- I -46, 47, 62, 64; II -45 Horse and other equine production (11292)

- - - - - - I -46

Noncitrus fruit and tree nut farming (11133)

- - - - - - I -46 Nursery and floriculture production (11142)

- - - - - - I -46 Nursery and tree production (111421)

- - - - - - I -46

Oilseed and grain farming (1111) I -58

- - I -59,60 I -50, 52, 54, 55, 61,63,65

- I -46, 47, 62, 64; II -45 Oilseed (except soybean) farming (11112)

- - - - - - I -46

Orange groves (11131) -

- - - - - I -46

Other animal production (1129) -

- - - - - I- 45; II -45

Other crop farming (1119) I -58

- - I -59,60 I -50, 52, 54, 55, 61,63,65

- I -46, 47, 62, 64; II -45

Other grain farming (11119)

- - - - - - I -46 Other noncitrus fruit farming (111339)

- - - - - - I -46

Other poultry production (11239) -

- - - - - I -46 Other vegetable (except potato) and melon farming (11219)

- - - - - - I -46

Potato farming (111211)

- - - - - - I -46

Poultry and egg production (1123) I -58

- - I -59,60 I -50, 52, 54, 55, 61,63,65

- I -46, 47, 62, 64; II -45

Poultry hatcheries (11234)

- - - - - - I -46

Rice farming (11116)

- - - - - - I -46

Sheep and goat farming (1124) I -58

- - I -59,60 I -50, 52, 54, 55, 61,63,65

- I -46, 47, 62, 64; II -45

Sheep farming (11241)

- - - - - - I -46

Soybean farming (11111)

- - - - - - I -46

Strawberry farming (111333) -

- - - - - I -46 Sugar cane farming, hay farming and all other crop farming (11193, 11194, 11195) I -58

- - I -59,60 I -50, 52, 54, 55, 61,63,65

- I -47, 62, 64;

II -45

Sugarcane farming (11193) I -58

- - I -59,60 I -61,63,65

- I -46,62,64

Tobacco farming (11191) I -58

- - I -59,60 I -50, 52, 54, 55, 61,63,65

- I -46, 47, 62, 64; II -45

Tree nut farming (111335)

- - - - - - I -46

Turkey production (11233)

- - - - - - I -46 Vegetable and melon farming (11121) I -58

- - I -59,60 I -50, 52, 54, 55, 61,63,65

- I -46, 47, 62, 64; II -45

Wheat farming (11114) -

- - - - - I -46

Number of farms I -1, 8, 9, 58;

II -8,9 II -32, 36-37 I -12-31;

II -11-24 I -40,44,59; II -2,41 I -50,52-55, 61, 63,65; II -46 I -10,11,41;

II -10, 40 I -1,46-47, 62, 64; II -1,2;

A-C

Number of households sharing farm

income I -58

- - I -59 I -50, 52,54-55, 61, 63, 65

- I -62,64

Number of operators I -58

- - I -59,60 I -49-57, 61, 63,65; II -46-56

- I -62,64

Number of persons living in

operator's household I -58

- - I -59,60 I -49,51,53, 54, 56-57, 61, 63,

65

- I -62,64

Nursery crops - I -37; II -35

- II – 2 - - -

# 2007 CENSUS OF AGRICULTURE INDEX 11

USDA, National Agricultural Statistics Service 

## Item Land Crops Livestock Economics Demographics Practices Misc.

Nursery, greenhouse, floriculture

and sod, sales value I -58

- - I -2,40,59,60; II -2 I -61,63,65

- I -62,64

Nursery stock

- I -37; II -35

- - - - -

Nuts, all

- I -35; II -32

- - - - - 

# O

Occupation of operator I -58

- - I -59,60 I -1,49, 51, 53, 56,57,61,63,65

II -1,46 I -48 I -62,64; A,B

Off-farm work by operator I -58

- - I -59 I -61, 63, 65;

II -46 - I -1,62,64;

II -1

Okra

- I -34; II -30

- - - - -

Olives

- I -35; II -32

- - - - -

Onions

- I -34; II -30

- - - - -

Operator characteristics I -58

- - I -59,60 I -49, 51, 53, 56,57,61,63,65

II -46 I -48 I -62,64; A

Operators -

Age I -58

- - I -59,60 I -1,49, 51, 53, 56-57, 61, 63, 65; II -46 I -48 I -62,64; A,B

All

- - - - I -49,52,54;

II -46

- A, B

American Indian or Alaska

Native operators I -58

- - I -59,60 I -51,53-57, 61,63,65; II -51 - I -47,62,64;

A

, B, D

Asian I -58

- - I -59,60 I -51,54-57, 61, 63, 65; II -52 - I -47,62,64; A, B

Black or African American I -58

- - I -59,60 I -51, 53-56, 61,63,65; II -53

- I- 47,62,64; A, B

Living on an American Indian

reservation I -58 - - I -59,60 I -61,63,65 - I -62,64; D

Native Hawaiian or Other Pacific

Islander I -58

- - I -59,60 I -51,53-57, 61, 63, 65; II -54

- I -62,64; A,B

On farm I -58

- - I -59,60 I -61, 63, 65;

II -46

- I -62,64

Primary occupation I -58

- - I -59,60 I -1,49, 51, 53, 56,57,61,63,65

II -1,46 I -48 I -62,64; A,B

Principal Operator I -58

- - I -59,60 I -49-54, 56, 61, 63, 65;

II -46,47, 49-57 I -48 I -62,64; A,B

Race I -58

- - I -59,60 I -51, 53-57, 61, 63, 65;

II -56

- I -62,64

Spanish, Hispanic, or Latino I -58

- - I -59,60 I -51,52-54 61, 63, 65; II -50

- I -62,64; A,B

White I -58

- - I -59,60 I -51,53-57, 61,63,65; II -55 - I -62,64; A, B

Women I -58

- - I -59,60 I -50-52, 54, 55, 61,63,65;

II -46

- I -62,64

Oranges

- I -35; II -32

- - - - - Orchardgrass seed

- II- 27

- - - - -

Orchards, land in I -58;

II -31 I -1,32,33;

II -1,25

- I -59,60 I -61,63,65 - I -62,64

Organic agriculture I -58

- - I -59,60 I -61,63,65 I -48; II -43 I -62,64

Ornamental fish

- - II -23

- - - - Ostriches

- - I -27; II -14

- - - -

Other livestock and other animal

products I -58

- I -12-17, 19, 21.22, 25- 27,31; II -24 I -2,40,59,60; II -2 I -61,63,65 I -41 I -1,62,64

# 12 INDEX 2007 CENSUS OF AGRICULTURE

USDA, National Agricultural Statistics Service 

## Item Land Crops Livestock Economics Demographics Practices Misc.

Other aquaculture products -

- II- 23

- - - -

Other berries - I-36; II-34 - - - - -

Other citrus - I -35; II -32 - - - - -

Other crops and hay I -58 I -32-37;

II -26-28, 30, 32, 34, 35

- I -2,40,59,60; II -2 I -61,63,65 I -41 I -62,64

Other farm characteristics -

- - - I -50,52,54,55

- -

Other farm production expenses I -58

- - I -4,59,60; II -3 I -61,63,65 I -11 I -62,64

Other farm-related income I -58

- - I -7,59,60; II -6 I -61,63,65 I -11 I -62,64 Other federal farm program

payments - - - I -6; II -5 I -50,52,54,55

- -

Other food fish

- - II - 23

- - - -

Other livestock - - I -31; II -24 - - - - Other livestock and poultry

purchased I -58

- - I -4,59,60; II -3 I -61,63,65

- I -62,64

Other poultry

- - I -27; II -13-14 - - - -

Other types of organizations I -58

- - I -59,60 I -50, 52, 54, 55, 61,63,65

- I -1,62,64

Other vegetables - I -35; II -32 - - - - -

Owned land in farms I -58

- - I -59,60 I -50, 52, 54, 55, 61,63,65;

II -46 I -11 I -62,64



# P Pacific Islander (see Native

Hawaiian and Other Pacific Islander)

Papayas - I -35; II -32

- - - - -

Parsley

- I -34; II -30

- - - - -

Part owners I -58

- - I -59,60 I -50, 52, 54, 55, 61,63,65;

II -46,49

- I -47,62,64; A,B

Partnerships I -58

- - I -59,60 I -50, 52, 54, 55, 61,63,65;

II -46

- I -1,62,64; A,B

Passion fruit

- I -35; II -32

- - - - -

Pastureland I -8,58;

II -8

- - I -40,59,60 I -61,63,65 I -10,11,48;

II -10,42,43 I -47,62,64 Patronage dividends and refunds

from cooperatives I -58

- - I -7,59,60; II -6 I -61,63,65 - I -62,64

Payroll - - - II -7 - - -

Peaches I -58 I -35; II -32

- I -59,60 I -61,63,65

- I -62,64

Peanuts I -58 I -1,32,33;

II -1,25,26

- I -59,60 I -61,63,65

- I -62,64

Pears - I -35;

II -32

- - - - - Peas -

Chinese - I -34; II -30

- - - - - Dry edible I -58 I -33; II -26 - - - - -

Dry southern (cowpeas) - II -26

- - - - - Green (excluding southern) I -58 I -34; II -30

- I -59,60 I -61,63,65

- I -62,64

Green southern (cowpeas) - I -34; II -30

- - - - -

Pecans I -58 I -35; II -32

- I -59,60 I -61,63,65

- I -62,64

Peppers - I -34; II -30

- - - - -

Percent of income from farming I -58

- - I -59,60 I -52, 54, 55, 61, 63,65 - I -62,64

Permanent pasture and rangeland I -8,58;

II -8

- - I -59,60 I -61,63,65 - I -47,62,64

# 2007 CENSUS OF AGRICULTURE INDEX 13

USDA, National Agricultural Statistics Service 

## Item Land Crops Livestock Economics Demographics Practices Misc.

Persimmons - I -35; II -32

- - - - -

Pesticides, acres applied I -58

- - I -59,60 - II -42 I -62,64

Pheasants

- - I -27; II -14

- - - -

Pigeons or squab

- - I -27; II -14

- - - -

Pima cotton

- I -32,33;

II -1,26

- - - - -

Pineapples - I -1,33;

II -1,25,28

- - - - -

Pistachios

- I -35; II -32

- - - - -

Place of residence I -58

- - I -59,60 I -49, 51, 53, 56,57,61,63,65

II -46 I -48 I -62,64

Plums and Prunes

- I -35; II -32

- - - - -

Pluots

- I -35; II -32

- - - - -

Pomegranates - I -35; II -32

- - - - -

Popcorn - I -33; II -26

- - - - -

Potatoes I -58 I -1,34;

II -1,30

- I -2,40,59,60;

II -2 I -61,63,65 I -41; II -40 I -62,64

Potted flowering plants - I -37; II -35

- - - - -

Poultry I -58

- I -27; II -13,14 I -2,40,59,60;

II -2 I -61,63,65;

II -46,50 I -41 I -62,64

Poultry hatched

- - II -14 - - - - Primary occupation (see Operator,

primary occupation)

Principal operator (see Operator)

Production contracts

- - - - - I -41; II -40 -

Property taxes paid, expense I -58

- - I -4,59,60; II -3 I -61,63,65 I -11 I -62,64

Proso millet

- I -33; II -26

- - - - -

Prunes - I -35; II -32

- - - - -

Pullets for laying flock replacement I -58

- I -27; II -13 I -59,60 I -61,63,65 I -41; II- 40 I -62,64

Pumpkins

- I -34; II -30

- - - - - 

# Q

Quail

- - I -27; II -14

- - - -



# R

Rabbits and their pelts - - I -31; II -24 - - - -

Race of operator I -58

- - I -59,60 I -51,53,54- 57,61,63,65;

II -51-56

- I -62,64; A,B

Radishes

- I -34; II -30

- - - - -

Rapeseed

- II- 26

- - - - -

Raspberries - I -36; II -34

- - - - -

Recreational services income I -58

- - I -7,59,60; II -6 I -61,63,65 - I -62,64

Red clover seed

- II -27

- - - - - Redtop seed

- II -27

- - - - -

Reliability estimates - - - - - - B Rent and lease expenses for

machinery, equipment, and farm

share of vehicles I -58

- - I -4,59,60; II -3 I -61,63,65 I -11 I -62,64

Rent or share payments income I -58

- - I -7,59,60; II -6 I -61,63,65 - I -62,64

# 14 INDEX 2007 CENSUS OF AGRICULTURE

USDA, National Agricultural Statistics Service 

## Item Land Crops Livestock Economics Demographics Practices Misc.

Rented or leased land I -58

- - I -59,60 I -50, 52, 54, 55, 61, 63,65;

II -46 I -11 I -62,64

Rhubarb

- I -34; II -30

- - - - -

Rice I -58 I -1,32,33;

II -1,25,26

- I -2,59,60; II -2 I -61,63,65 - I -46,62,64

Romaine lettuce

- I -34; II -30

- - - - - Rotational or management intensive

grazing

- - - - II- 44 - -

Rye for grain

- I -33; II -26

- - - - -

Ryegrass seed

- I -33; II -27

- - - - - 

# S

Safflower

- I -33; II -26

- - - - -

Seed harvested I -58 I -33,37;

II -25-27,35

- I -59,60 I -61,63,65 - I -62,64

Seedlings

- I -37; II -35

- - - - - Seeds, plants, vines, and trees,

expense I -58

- - I -4,59,60; II -3 I -61,63,65 I -11 I -62,64

Sesame

- II -28

- - - - -

Sex of operator I -58

- - I -59,60 I -49, 53, 56, 57, 61,63,65;

II -46 I -48 I -62,64; A, B

Share payments (see Rent)

Sheep and lambs I -58

- I -28-30;

II -1,16 I -2,40,59,60; II -2 I -50, 52, 54, 61, 63, 65 I -11; II -44 I -62,64;

II -1,46,47

Sheep, goats, and their products,

sales value I -58

- - I -2,40,59,60; II -2 I -61,63,65

- I -62,64

Short rotation woody crops I -58 I -38; II -37

- I -2,7,40,59; II -2,6 I -61,63,65 - I -62,64

Silage I -58 I -1,32,33;

II -1,25,27 - I -59,60 I -61,63,65

- I -62,64

Small grain hay

- I -32,33;

II -27

- - - - -

Sod - I -37; II -35

- I -2,40 - - -

Soil conditioners I -58

- - I -1,4,40,59,60;

II -2 I -61,63,65 I -11,45; II -42 I -62,64

Sorghum I -58 I -1,32-33;

II -1, 25, 26, 27, 28

- I -2,59,60; II -2 I -61,63,65

- I -62,64

Soybeans I -58 I -1,32,33;

II -1,25,26

- I -2,59,60; II -2 I -61,63,65

- I -62,64

Spanish, Hispanic or Latino origin,

operators I -58

- - I -59,60 I -51,52-53,55, 61, 63, 65;

II -50

- I -62,64; A,B

Spearmint for oil

- II -28

- - - - - Specified fruits and nuts, acres - I -35; II -32

- - - - -

Spinach

- I- 34; II -30

- - - - - Sport or game fish

- - II -23

- - - -

Spring wheat, other

- I -1,32-33;

II -1,26

- - - - - Squab (see Pigeons)

- - I -27; II -14 - - - -

Squash

- I -34; II -30

- - - - - State and local government program

payments I -58 - - I -7,59,60; II -6 I -61,63,65 - I -62,64

Stockholders in farm corporation I -58

- - I -59,60 I -61,63,65

- I -62,64

Strawberries - I -36; II -34

- - - - -

Sudangrass seed

- II -27

- - - - -

# 2007 CENSUS OF AGRICULTURE INDEX 15

USDA, National Agricultural Statistics Service 

## Item Land Crops Livestock Economics Demographics Practices Misc.

Sugarbeets I -58 I -1,32,33;

II -1,25,26

- I -59,60 I -61,63,65

- I -62,64

Sugarcane I -58 I -1,32,33;

II -1,25,26

- I -59,60 I -50, 52, 54, 61, 63, 65

- I -46, 47, 62, 64; II -1

Summer squash

- I -34; II -30

- - - - -

Sunflower seed I -58 I- 1,33;

II -1,25,26

- I -59,60 I -61,63,65

- I -62,64 Supplies, repairs and maintenance,

expense I -58

- - I -4,59,60; II -3 I -61,63,65 I -11 I -62,64

Sweet corn I -58 I -34;

II -28,30

- I -59,60 I -61,63,65

- I -62,64

Sweet potatoes I -58 I -1,34; II -30

- I -2,40,59,60; II -2 I -61,63,65

- I -62,64; II -1

Sweetclover seed

- II- 1,27

- - - - -



# T

Tame hay, other I -58 I -32,33;

II -27

- I -59,60 I -61,63,65

- I -62,64

Tangelos

- I -35; II -32

- - - - -

Tangerines

- I -35; II -32

- - - - - Taps, maple syrup

- I -38; II -38

- - - - -

Taro - II -28

- - - - -

Taxes, property I -58 - - I -4,59,60; II -3 I -61,63,65 I -11 I -62,64

Temples

- I -35; II -32

- - - - -

Tenants I -58

- - I -59,60 I -50, 52, 54, 55, 61,63,65;

II -46,49

- I -47,62,64; A,B

Tenure of operator I -58

- - I -59,60 I -50, 52, 54, 55, 61,63,65;

II -46,49

- I -47,62,64; A,B

Timothy seed

- II -27

- - - - -

Tobacco I -58 I -1,32,33;

II -1,25,26

- I -2,40,59,60; II -2 I -61,63,65

- I -46, 47, 62, 64; II -1,45

Tobacco transplants

- I -37; II -35

- - - - -

Tomatoes I -58 I -34; II -30

- I -59,60 I -61,63,65

- I -62,64

Tomatoes, greenhouse

- I -37; II -35

- - - - -

Total cropland I -1,8,58;

II -1,8

- - I -40,59,60 I -61,63,65 I -11 I -47,62,64

Total farm production expenses I -58

- - I -4,40,59,60; II -3 I -61,63,65 I -11 I -1,47,62,64;

II -1

Total sales I -58

- - I -2,59,60; II -2 I -61,63,65

- I -62,64

Total woodland I -8,58;

II -8

- - I -59,60 I -61,63,65 - I -47,62,64

Tractors I -58

- - I -44,59,60; II -41 I -61,63,65

- I -62,64

Triticale

- II -26

- - - - -

Trout - - II -23

- - - -

Trucks I -58 - - I -44,59,60; II -41 I -61,63,65 - I -44,62,64

Tubers

- I -37

- - - - -

Turkeys I -58

- I -27; II -13 I -59,60 I -61,63,65 I -41; II- 40 I -62,64

Turnip greens

- I -34; II -30

- - - - -

Turnips

- I -34; II -30

- - - - -

Type of organization I -58

- - I -59,60 I -50, 52, 54, 55, 61,63,65;

II -46

- I -1,62,64; A,B

Typology of farm I -58

- - I -59,60 I -61,63,65;

II -46

- I -62,64

# 16 INDEX 2007 CENSUS OF AGRICULTURE

USDA, National Agricultural Statistics Service 

## Item Land Crops Livestock Economics Demographics Practices Misc.



# U

Upland cotton

- I -1,32,33;

II -1,26

- - - - -

Utilities, expense I -58

- - I -4,40,59,60; II -3 I -61,63,65 I -11 I -62,64



# V

Valencia oranges

- I -35; II -32

- - - - -

Value Added Commodities

- - - - - II -44

-

Value of -

Agricultural products sold -

- - I -3; II -2

- I -11 I -1; II -2 Commodities under production

contract - - - - - I -41 -

Land and buildings I -58; II -8

- - I -40,42,59,60 I -61,63,65 I -11 I -1, 46, 47, 62, 64; II -1

Landlord's share of total sales I -58 - - I -2,40,59,60 I -61,63,65 - I -62,64

Machinery and equipment I -58

- - I -40,43,59,60; II

41 I -61,63,65 I -11 I -1, 46, 47, 62, 64; II -1

Organic product sales I -58

- - I -40,59,60 I -61,63,65 I -48; II -43 I -62,64

Sales I -58 I -37; II -35 I -13-18,20- 22,31; II -23 I -1-3,40,59,60;

II -1-2 I -50, 52, 54, 55, 61,63,65;

II -47 I -11,41,48;

II -43 I -1,46, 47, 62, 64; A-C

Veal calves - - - - - II -44 -

Vegetable seeds

- I -37; II -35

- - - - -

Vegetable transplants

- I -37; II- 35

- - - - -

Vegetables I -58 I -1,32-34,37;

II -1,25, 29, 30, 35

- I -2,40,59,60; II -2 I -61,63,65 I -41; II -40 I -62,64

Vetch seed

- II -27

- - - - -



# W

Walnuts, English I -58 I -35; II -32

- I -59,60 I -61,63,65

- I -62,64

Watercress - I -34; II -30

- - - - -

Watermelons

- I -34; II -30

- - - - - Weeds, grass, or brush, chemical

control I -58

- - I -59,60 I -61,63,65 I -45; II -42 I -62,64

Wetlands Reserve Program I -8,58;

II -8

- - I -6,59,60; II -5 I -50, 52, 54, 55, 61,63,65 I -11 I -62,64

Wheat -

All I -58 I -1,32,33;

II -25,26

- I -2,59,60; II -2 I -61,63,65

- I -1,46,62,64;

II -1

Durum - I -1,32,33,34;

II -1,26

- - - - -

Other spring

- I -1,32,33,34;

II -1,26

- - - - -

Winter

- I -1,32,33,34;

II -1,26

- - - - -

Wheatgrass seed

- II -27

- - - - -

White clover seed

- II -27

- - - - -

White operators I -58

- - I -59,60 I -51,53-57, 61,63,65; II -55 - I -62,64; A, B

Wild hay

- I -32-33;

II -27

- - - - -

Wild rice

- II -26

- - - - -

Winter squash

- I -34; II -30

- - - - -

# 2007 CENSUS OF AGRICULTURE INDEX 17

USDA, National Agricultural Statistics Service 

## Item Land Crops Livestock Economics Demographics Practices Misc.

Women operators I -58 - - - I -49, 50, 51, 54, 57,61, 63, 65; II -46-49 I -48 I -62,64

Woodland crops I -58 I -38; II -36-

38

- I -59,60 I -61,63,65

- I -62,64

Woodland, total I -8,58;

II -8

- - I -59,60 I -61,63,65

- I -47,62,64

Wool production

- - I -28,29,30;

II -16

- - - -



# Y

Years on present farm I -58

- - I -59,60 I -49, 51, 53, 56, 57, 61, 63,65; II -46 I -48 I -62,64