ISSN: 1948-903X
Released March 23, 2015, by the National Agricultural Statistics Service
(NASS), Agricultural Statistics Board, United States Department of
Agriculture (USDA).
Highlights
Total natural cheese stocks in refrigerated warehouses on February 28, 2015
were up 2 percent from the previous month and up 5 percent from February
28, 2014.
Butter stocks were up 20 percent from last month and up 4 percent from a year
ago.
Total frozen poultry supplies on February 28, 2015 were up 4 percent from the
previous month and up 6 percent from a year ago. Total stocks of chicken were
up slightly from the previous month and up 8 percent from last year. Total
pounds of turkey in freezers were up 15 percent from last month and up
4 percent from February 28, 2014.
Total frozen fruit stocks were down 9 percent from last month and down
5 percent from a year ago.
Total frozen vegetable stocks were down 7 percent from last month and down
2 percent from a year ago.
Total red meat supplies in freezers were up 8 percent from the previous month
and up 12 percent from last year. Total pounds of beef in freezers were up
slightly from the previous month and up 20 percent from last year. Frozen
pork supplies were up 15 percent from the previous month and up 5 percent
from last year. Stocks of pork bellies were up 27 percent from last month but
down 23 percent from last year.
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Contents
Nuts, Dairy Products, Frozen Eggs, and Frozen Poultry in Cold Storage - United States: February 28, 2015
with Comparisons............................................................................................ 4
Frozen Fruit and Frozen Juice in Cold Storage - United States: February 28, 2015 with Comparisons........... 5
Frozen Vegetables and Potatoes in Cold Storage - United States: February 28, 2015 with Comparisons.......... 6
Red Meat and Commodities in Cold Storage - United States: February 28, 2015 with Comparisons................ 7
Nuts and Dairy Products in Cold Storage - Regions: February 28, 2015 with Comparisons....................... 8
Frozen Poultry in Cold Storage - Regions: February 28, 2015 with Comparisons................................ 9
Frozen Fruit and Frozen Juice in Cold Storage - Regions: February 28, 2015 with Comparisons................. 12
Frozen Vegetables in Cold Storage - Regions: February 28, 2015 with Comparisons............................. 14
Frozen Potatoes in Cold Storage - Regions: February 28, 2015 with Comparisons............................... 18
Frozen Red Meat in Cold Storage - Regions: February 28, 2015 with Comparisons............................... 19
Cold Storage Regions........................................................................................ 20
Definitions................................................................................................. 20
Publication Notes........................................................................................... 21
Statistical Methodology..................................................................................... 23
Information Contacts........................................................................................ 23
Nuts, Dairy Products, Frozen Eggs, and Frozen Poultry in Cold Storage - United States: February 28, 2015 with Comparisons
--------------------------------------------------------------------------------------------------------------------------
: : February 28, 2015 : Public
: Stocks in all warehouses : as a percent of : warehouse
: : : stocks
Commodity :-----------------------------------------------------------------------------------
:February 28, : January 31, :February 28, :February 28, : January 31, :February 28,
: 2014 : 2015 : 2015 : 2014 : 2015 : 2015
--------------------------------------------------------------------------------------------------------------------------
: ------------ 1,000 pounds ----------- ---- percent ---- 1,000 pounds
:
Nuts :
Shelled :
Pecans .............................: 47,989 51,196 53,138 111 104
In-Shell :
Pecans .............................: 204,365 144,021 144,305 71 100
:
Dairy products :
Butter ...............................: 171,773 148,885 178,212 104 120 153,411
Natural cheese :
American ...........................: 628,679 633,778 643,127 102 101
Swiss ..............................: 26,942 22,411 23,710 88 106
Other ..............................: 354,511 388,769 397,248 112 102
Total natural cheese ...............: 1,010,132 1,044,958 1,064,085 105 102 656,365
:
Frozen eggs :
Whites ...............................: 4,478 4,933 4,239 95 86
Yolks ................................: 1,727 1,489 1,417 82 95
Whole and mixed ......................: 12,162 11,168 12,843 106 115
Unclassified .........................: 16,264 17,080 17,149 105 100
Total frozen eggs ....................: 34,631 34,670 35,648 103 103 34,416
:
Frozen poultry :
Chicken :
Broilers, fryers, and roasters .....: 13,053 10,827 14,022 107 130
Hens, mature chickens ..............: 7,492 3,888 2,668 36 69
Breasts and breast meat ............: 122,830 155,526 159,114 130 102
Drumsticks .........................: 23,320 28,315 22,963 98 81
Leg quarters .......................: 152,883 148,456 162,852 107 110
Legs ...............................: 8,193 15,926 15,199 186 95
Thigh and thigh quarters ...........: 11,281 10,868 12,532 111 115
Thigh Meat .........................: 22,265 25,398 23,251 104 92
Wings ..............................: 58,935 45,818 44,923 76 98
Paws and feet ......................: 23,491 38,837 32,917 140 85
Other ..............................: 237,200 246,876 241,589 102 98
Total chicken ......................: 680,943 730,735 732,030 108 100
:
Turkey :
Whole turkeys :
Toms .............................: 72,426 58,677 80,220 111 137
Hens .............................: 67,950 58,029 79,668 117 137
Total whole turkeys ..............: 140,376 116,706 159,888 114 137
Breasts ............................: 56,448 38,368 42,639 76 111
Legs ...............................: 8,018 11,950 9,053 113 76
Mechanically deboned meat ..........: 5,779 7,481 6,598 114 88
Other ..............................: 24,782 32,081 27,089 109 84
Unclassified .......................: 75,353 73,814 78,081 104 106
Total turkey .......................: 310,756 280,400 323,348 104 115
:
Ducks ................................: 2,021 2,579 2,810 139 109
:
Total frozen poultry .................: 993,720 1,013,714 1,058,188 106 104 978,618
--------------------------------------------------------------------------------------------------------------------------
Frozen Fruit and Frozen Juice in Cold Storage - United States: February 28, 2015 with Comparisons
--------------------------------------------------------------------------------------------------------------------------
: : February 28, 2015 : Public
: Stocks in all warehouses : as a percent of : warehouse
: : : stocks
Commodity :-----------------------------------------------------------------------------------
:February 28, : January 31, :February 28, :February 28, : January 31, :February 28,
: 2014 : 2015 : 2015 : 2014 : 2015 : 2015
--------------------------------------------------------------------------------------------------------------------------
: ------------ 1,000 pounds ----------- ---- percent ---- 1,000 pounds
:
Frozen fruit :
Apples ...............................: 60,384 55,349 53,313 88 96
Apricots .............................: 3,406 5,246 4,739 139 90
Blackberries :
Individual quality frozen ..........: 15,146 19,656 17,611 116 90
Pails and tubs .....................: 1,399 1,480 1,358 97 92
Barrels, 400 lbs net ...............: 10,134 6,879 5,697 56 83
Concentrate ........................: 504 828 834 165 101
Total blackberries .................: 27,183 28,843 25,500 94 88
Blueberries ..........................: 150,626 187,523 166,469 111 89
:
Boysenberries ........................: 1,906 1,389 1,232 65 89
Cherries, tart (ripe tart pitted) ....: 91,631 129,319 121,119 132 94
Cherries, tart (juice stock) .........: 1,481 2,883 2,747 185 95
Cherries, tart (juice concentrate) ...: 1,086 1,212 1,216 112 100
Cherries, sweet ......................: 14,136 21,326 20,206 143 95
Grapes ...............................: 4,226 3,177 3,006 71 95
Peaches ..............................: 47,862 44,353 38,663 81 87
Raspberries, black ...................: 677 1,089 968 143 89
:
Raspberries, red :
Individual quality frozen ..........: 22,537 27,494 24,882 110 90
Pails and tubs .....................: 4,497 5,473 4,375 97 80
Barrels, 400 lbs net ...............: 16,643 17,660 15,646 94 89
Concentrate ........................: 1,394 1,506 2,358 169 157
Total red raspberries ..............: 45,071 52,133 47,261 105 91
Strawberries :
Individual quality frozen and poly .: 81,716 76,820 75,427 92 98
Pails and tubs .....................: 60,666 46,103 42,631 70 92
Barrels and drums ..................: 59,391 43,074 35,968 61 84
Juice stock ........................: 13,395 9,523 9,325 70 98
Total strawberries .................: 215,168 175,520 163,351 76 93
Other ................................: 475,527 481,002 433,193 91 90
:
Total frozen fruit ...................: 1,140,370 1,190,364 1,082,983 95 91 967,562
:
Frozen juice concentrate :
Orange ...............................: 799,317 720,747 728,424 91 101
(Gallon equivalent) ................: 80,772 72,832 73,608
Other ................................: 282,913 281,709 279,531 99 99
:
Total frozen juice concentrate .......: 1,082,230 1,002,456 1,007,955 93 101 189,766
--------------------------------------------------------------------------------------------------------------------------
Frozen Vegetables and Potatoes in Cold Storage - United States: February 28, 2015 with Comparisons
--------------------------------------------------------------------------------------------------------------------------
: : February 28, 2015 : Public
: Stocks in all warehouses : as a percent of : warehouse
: : : stocks
Commodity :-----------------------------------------------------------------------------------
:February 28, : January 31, :February 28, :February 28, : January 31, :February 28,
: 2014 : 2015 : 2015 : 2014 : 2015 : 2015
--------------------------------------------------------------------------------------------------------------------------
: ------------ 1,000 pounds ----------- ---- percent ---- 1,000 pounds
:
Frozen vegetables :
Asparagus ............................: 9,497 12,620 11,117 117 88
Lima beans ...........................: 54,696 58,804 53,458 98 91
Green beans, regular cut .............: 149,444 161,510 152,128 102 94
Green beans, french style ............: 11,607 13,214 10,529 91 80
Broccoli, spears .....................: 20,956 25,796 27,165 130 105
Broccoli, chopped and cut ............: 33,570 34,751 37,256 111 107
Brussels sprouts .....................: 15,343 15,090 13,614 89 90
Carrots, diced .......................: 143,648 155,485 144,136 100 93
Carrots, other .......................: 134,187 155,156 136,781 102 88
Cauliflower ..........................: 21,139 20,172 18,310 87 91
Corn, cut ............................: 460,752 464,026 424,719 92 92
Corn, cob ............................: 200,562 206,000 175,534 88 85
:
Mixed vegetables .....................: 54,208 55,838 56,026 103 100
Okra .................................: 10,651 34,631 29,148 274 84
Onion rings ..........................: 9,135 9,276 8,980 98 97
Onions, other ........................: 37,919 34,589 39,164 103 113
Blackeye peas ........................: 1,620 1,969 1,846 114 94
Green peas ...........................: 168,608 205,887 189,457 112 92
Peas and carrots mixed ...............: 7,608 7,299 7,326 96 100
Spinach ..............................: 43,140 37,933 40,293 93 106
Squash, summer/zucchini ..............: 56,111 59,715 53,906 96 90
Southern greens ......................: 13,778 11,941 15,065 109 126
Other ................................: 366,772 357,718 335,902 92 94
:
Total frozen vegetables ..............: 2,024,951 2,139,420 1,981,860 98 93 1,330,766
:
Frozen potatoes :
French fries .........................: 924,730 893,261 918,828 99 103
Other ................................: 199,400 191,879 207,735 104 108
:
Total frozen potatoes ................: 1,124,130 1,085,140 1,126,563 100 104 914,183
--------------------------------------------------------------------------------------------------------------------------
Red Meat and Commodities in Cold Storage - United States: February 28, 2015 with Comparisons
--------------------------------------------------------------------------------------------------------------------------
: : February 28, 2015 : Public
: Stocks in all warehouses : as a percent of : warehouse
: : : stocks
Commodity :-----------------------------------------------------------------------------------
:February 28, : January 31, :February 28, :February 28, : January 31, :February 28,
: 2014 : 2015 : 2015 : 2014 : 2015 : 2015
--------------------------------------------------------------------------------------------------------------------------
: ------------ 1,000 pounds ----------- ---- percent ---- 1,000 pounds
:
Frozen red meat :
Beef :
Boneless ...........................: 365,804 446,112 450,767 123 101
Beef cuts ..........................: 43,703 45,877 41,349 95 90
Total beef .........................: 409,507 491,989 492,116 120 100 490,368
:
Pork :
Picnics, bone-in ...................: 11,716 12,811 19,371 165 151
Hams :
Bone-in ..........................: 48,511 44,076 46,630 96 106
Boneless .........................: 68,953 66,972 81,082 118 121
Total hams .......................: 117,464 111,048 127,712 109 115
Bellies ............................: 87,675 53,507 67,814 77 127
Loins :
Bone-in ..........................: 16,290 16,612 18,458 113 111
Boneless .........................: 29,083 23,163 27,399 94 118
Total loins ......................: 45,373 39,775 45,857 101 115
Ribs ...............................: 122,859 94,863 106,781 87 113
Butts ..............................: 26,094 25,104 35,641 137 142
Trimmings ..........................: 37,448 59,328 67,458 180 114
Other ..............................: 110,102 102,072 105,921 96 104
Variety meats ......................: 36,807 41,834 44,124 120 105
Unclassified .......................: 59,174 55,975 65,466 111 117
Total pork .........................: 654,712 596,317 686,145 105 115 613,594
:
Other red meat :
Veal ...............................: 3,190 8,289 9,614 301 116
Lamb and mutton ....................: 26,191 35,206 36,794 140 105
Total other red meat ...............: 29,381 43,495 46,408 158 107 46,392
:
Total frozen red meat ................: 1,093,600 1,131,801 1,224,669 112 108 1,150,354
:
Commodities :
Stored in coolers ....................: 1,434,259 1,389,060 1,439,740 100 104 852,483
Stored in freezers ...................: 7,493,632 7,597,565 7,517,866 100 99 5,565,665
:
Total Commodities ....................: 8,927,891 8,986,625 8,957,606 100 100 6,418,148
--------------------------------------------------------------------------------------------------------------------------
Nuts and Dairy Products in Cold Storage - Regions: February 28, 2015 with Comparisons
------------------------------------------------------------------------------------------------------------------------
: :
: : February 28, 2015
: Stocks in all warehouses : as a percent of
: :
Commodity :---------------------------------------------------------------------------------
: February 28, : January 31, : February 28, :February 28, : January 31,
: 2014 : 2015 : 2015 : 2014 : 2015
------------------------------------------------------------------------------------------------------------------------
: --------------- 1,000 pounds -------------- ---- percent ----
:
Nuts 1/ :
Shelled :
Pecans :
South Atlantic ...................: 17,839 13,203 12,890 72 98
East South Central ...............: 1,118 1,459 1,161 104 80
West South Central ...............: 29,032 36,534 39,087 135 107
In-shell :
Pecans :
South Atlantic ...................: 59,532 25,761 25,042 42 97
East South Central ...............: 3,474 3,480 815 23 23
West South Central ...............: 141,359 114,780 118,448 84 103
:
Dairy products :
Natural cheese :
American, total :
New England ......................: 54,600 61,803 62,090 114 100
Middle Atlantic ..................: 62,402 67,709 67,764 109 100
East North Central ...............: 225,857 232,609 241,101 107 104
West North Central ...............: 108,091 99,204 95,621 88 96
South Atlantic ...................: 672 573 569 85 99
East South Central ...............: 3,055 5,371 5,371 176 100
West South Central ...............: 12,469 13,111 14,710 118 112
Mountain .........................: 51,276 52,625 52,877 103 100
Pacific ..........................: 110,257 100,773 103,024 93 102
Other :
New England ......................: 866 953 942 109 99
Middle Atlantic ..................: 15,494 21,855 21,375 138 98
East North Central ...............: 244,905 239,977 243,669 99 102
West North Central ...............: 40,446 47,024 46,370 115 99
South Atlantic ...................: 4,964 24,695 25,441 513 103
East South Central ...............: 12,487 9,086 14,583 117 160
West South Central ...............: 765 875 524 68 60
Mountain .........................: 2,633 2,315 2,017 77 87
Pacific ..........................: 31,951 41,989 42,327 132 101
------------------------------------------------------------------------------------------------------------------------
1/ New England and Middle Atlantic combined with South Atlantic. East North Central combined with East South Central.
Pacific, Mountain, and West North Central combined with West South Central.
Frozen Poultry in Cold Storage - Regions: February 28, 2015 with Comparisons
------------------------------------------------------------------------------------------------------------------------
: :
: : February 28, 2015
: Stocks in all warehouses : as a percent of
: :
Commodity :---------------------------------------------------------------------------------
: February 28, : January 31, : February 28, :February 28, : January 31,
: 2014 : 2015 : 2015 : 2014 : 2015
------------------------------------------------------------------------------------------------------------------------
: --------------- 1,000 pounds -------------- ---- percent ----
:
Frozen poultry :
Chicken 1/ :
Broilers, fryers, and roasters :
South Atlantic ...................: 4,248 6,789 6,844 161 101
East South Central ...............: 1,339 577 911 68 158
West South Central ...............: 1,659 2,775 4,440 268 160
Pacific ..........................: 5,807 686 1,827 31 266
Hens, mature chickens :
South Atlantic ...................: 1,477 1,407 1,199 81 85
East South Central ...............: 106 99 70 66 71
West South Central ...............: 4,682 2,339 1,371 29 59
Pacific ..........................: 1,227 43 28 2 65
Breasts and breast meat :
South Atlantic ...................: 36,026 41,327 42,439 118 103
East South Central ...............: 28,946 34,938 35,908 124 103
West South Central ...............: 48,383 68,734 68,522 142 100
Pacific ..........................: 9,475 10,527 12,245 129 116
Drumsticks :
South Atlantic ...................: 11,623 15,030 12,067 104 80
East South Central ...............: 7,227 4,543 4,227 58 93
West South Central ...............: 3,440 8,170 5,773 168 71
Pacific ..........................: 1,030 572 896 87 157
Leg quarters :
South Atlantic ...................: 84,466 80,030 87,400 103 109
East South Central ...............: 37,983 26,187 30,274 80 116
West South Central ...............: 29,498 40,824 43,963 149 108
Pacific ..........................: 936 1,415 1,215 130 86
Legs :
South Atlantic ...................: 2,837 9,451 8,602 303 91
East South Central ...............: 1,971 1,779 2,176 110 122
West South Central ...............: 2,875 4,438 4,099 143 92
Pacific ..........................: 510 258 322 63 125
Thigh and thigh quarters :
South Atlantic ...................: 4,930 6,122 7,872 160 129
East South Central ...............: 1,889 1,516 1,084 57 72
West South Central ...............: 2,084 3,003 2,574 124 86
Pacific ..........................: 2,378 227 1,002 42 441
Thigh meat :
South Atlantic ...................: 14,883 16,896 15,507 104 92
East South Central ...............: 3,121 1,476 2,214 71 150
West South Central ...............: 3,217 5,406 4,137 129 77
Pacific ..........................: 1,044 1,620 1,393 133 86
Wings :
South Atlantic ...................: 30,096 25,109 24,516 81 98
East South Central ...............: 7,773 5,124 4,608 59 90
West South Central ...............: 16,627 12,877 12,857 77 100
Pacific ..........................: 4,439 2,708 2,942 66 109
Paws and feet :
South Atlantic ...................: 15,889 23,485 23,096 145 98
East South Central ...............: 3,886 8,408 6,165 159 73
West South Central ...............: 3,066 5,929 3,423 112 58
Pacific ..........................: 650 1,015 233 36 23
Other :
South Atlantic ...................: 117,629 114,837 116,968 99 102
East South Central ...............: 50,317 45,459 44,593 89 98
West South Central ...............: 50,457 65,233 57,465 114 88
Pacific ..........................: 18,797 21,347 22,563 120 106
Total chicken :
South Atlantic ...................: 324,104 340,483 346,510 107 102
East South Central ...............: 144,558 130,106 132,230 91 102
West South Central ...............: 165,988 219,728 208,624 126 95
Pacific ..........................: 46,293 40,418 44,666 96 111
------------------------------------------------------------------------------------------------------------------------
See footnote(s) at end of table. --continued
Frozen Poultry in Cold Storage - Regions: February 28, 2015 with Comparisons (continued)
------------------------------------------------------------------------------------------------------------------------
: :
: : February 28, 2015
: Stocks in all warehouses : as a percent of
: :
Commodity :---------------------------------------------------------------------------------
: February 28, : January 31, : February 28, :February 28, : January 31,
: 2014 : 2015 : 2015 : 2014 : 2015
------------------------------------------------------------------------------------------------------------------------
: -------------- 1,000 pounds -------------- ---- percent ----
:
Turkeys :
Whole turkeys :
New England ......................: 993 1,019 1,628 164 160
Middle Atlantic ..................: 3,740 1,043 2,380 64 228
East North Central ...............: 7,515 1,499 7,024 93 469
West North Central ...............: 25,548 25,813 33,599 132 130
South Atlantic ...................: 11,822 8,621 13,560 115 157
East South Central ...............: 3,135 2,078 2,793 89 134
West South Central ...............: 75,583 65,883 85,439 113 130
Mountain .........................: 9,469 8,886 12,131 128 137
Pacific ..........................: 2,571 1,864 1,334 52 72
Breasts :
New England ......................: 222 45 141 64 313
Middle Atlantic ..................: 921 1,565 1,874 203 120
East North Central ...............: 12,839 7,528 8,324 65 111
West North Central ...............: 18,297 15,232 15,866 87 104
South Atlantic ...................: 7,062 4,715 5,536 78 117
East South Central ...............: 369 824 854 231 104
West South Central ...............: 12,488 5,744 7,458 60 130
Mountain .........................: 1,549 915 921 59 101
Pacific ..........................: 2,701 1,800 1,665 62 93
Legs :
New England ......................: - - - (X) (X)
Middle Atlantic ..................: 157 624 594 378 95
East North Central ...............: 1,746 2,527 1,540 88 61
West North Central ...............: 3,433 5,218 3,348 98 64
South Atlantic ...................: 702 1,145 933 133 81
East South Central ...............: 216 50 53 25 106
West South Central ...............: 1,538 1,460 1,903 124 130
Mountain .........................: 185 403 320 173 79
Pacific ..........................: 41 523 362 883 69
Mechanically deboned meat :
New England ......................: - - - (X) (X)
Middle Atlantic ..................: 1,826 244 431 24 177
East North Central ...............: 467 1,240 1,346 288 109
West North Central ...............: 467 1,837 1,108 237 60
South Atlantic ...................: 976 1,828 1,462 150 80
East South Central ...............: 1,450 561 513 35 91
West South Central ...............: 153 639 685 448 107
Mountain .........................: 206 644 552 268 86
Pacific ..........................: 234 488 501 214 103
------------------------------------------------------------------------------------------------------------------------
See footnote(s) at end of table. --continued
Frozen Poultry in Cold Storage - Regions: February 28, 2015 with Comparisons (continued)
------------------------------------------------------------------------------------------------------------------------
: :
: : February 28, 2015
: Stocks in all warehouses : as a percent of
: :
Commodity :---------------------------------------------------------------------------------
: February 28, : January 31, : February 28, :February 28, : January 31,
: 2014 : 2015 : 2015 : 2014 : 2015
------------------------------------------------------------------------------------------------------------------------
: --------------- 1,000 pounds -------------- ----- percent ----
:
Other :
New England ......................: 946 - - (X) (X)
Middle Atlantic ..................: 1,614 1,291 1,172 73 91
East North Central ...............: 4,822 5,117 4,555 94 89
West North Central ...............: 5,653 8,101 5,578 99 69
South Atlantic ...................: 5,887 8,531 7,195 122 84
East South Central ...............: 1,245 2,859 2,720 218 95
West South Central ...............: 3,116 4,583 4,337 139 95
Mountain .........................: 236 459 399 169 87
Pacific ..........................: 1,263 1,140 1,133 90 99
Unclassified :
New England ......................: 55 35 53 96 151
Middle Atlantic ..................: 891 623 914 103 147
East North Central ...............: 9,864 11,069 10,637 108 96
West North Central ...............: 7,671 20,433 20,787 271 102
South Atlantic ...................: 43,100 34,996 37,856 88 108
East South Central ...............: 130 173 187 144 108
West South Central ...............: 10,473 3,107 4,141 40 133
Mountain .........................: 1,036 555 543 52 98
Pacific ..........................: 2,133 2,823 2,963 139 105
Total turkey :
New England ......................: 2,216 1,099 1,822 82 166
Middle Atlantic ..................: 9,149 5,390 7,365 81 137
East North Central ...............: 37,253 28,980 33,426 90 115
West North Central ...............: 61,069 76,634 80,286 131 105
South Atlantic ...................: 69,549 59,836 66,542 96 111
East South Central ...............: 6,545 6,545 7,120 109 109
West South Central ...............: 103,351 81,416 103,963 101 128
Mountain .........................: 12,681 11,862 14,866 117 125
Pacific ..........................: 8,943 8,638 7,958 89 92
:
Ducks :
New England ........................: 54 57 36 67 63
Middle Atlantic ....................: 345 812 1,053 305 130
East North Central .................: 685 194 244 36 126
West North Central .................: 242 290 266 110 92
South Atlantic .....................: 5 19 19 380 100
East South Central .................: - - - (X) (X)
West South Central .................: 7 - - (X) (X)
Mountain ...........................: 7 236 214 3,057 91
Pacific ............................: 676 971 978 145 101
------------------------------------------------------------------------------------------------------------------------
- Represents zero.
(X) Not applicable.
1/ New England and Middle Atlantic combined with South Atlantic. East North Central combined with East South Central.
West North Central combined with West South Central. Mountain combined with Pacific.
Frozen Fruit and Frozen Juice in Cold Storage - Regions: February 28, 2015 with Comparisons
------------------------------------------------------------------------------------------------------------------------
: :
: : February 28, 2015
: Stocks in all warehouses : as a percent of
: :
Commodity :---------------------------------------------------------------------------------
: February 28, : January 31, : February 28, :February 28, : January 31,
: 2014 : 2015 : 2015 : 2014 : 2015
------------------------------------------------------------------------------------------------------------------------
: -------------- 1,000 pounds -------------- ----- percent ----
:
Frozen fruit :
Apples :
New England ........................: 162 43 29 18 67
Middle Atlantic ....................: 1,638 1,266 1,161 71 92
East North Central .................: 48,502 44,105 42,753 88 97
West North Central .................: 311 307 305 98 99
South Atlantic .....................: 141 187 151 107 81
East South Central .................: 93 76 295 317 388
West South Central .................: 213 426 359 169 84
Mountain ...........................: 79 52 40 51 77
Pacific ............................: 9,245 8,887 8,220 89 92
Blueberries :
New England ........................: 13,219 22,988 20,482 155 89
Middle Atlantic ....................: 5,801 9,160 8,594 148 94
East North Central .................: 56,898 54,652 50,711 89 93
West North Central .................: 3,124 3,088 2,770 89 90
South Atlantic .....................: 4,952 8,216 7,337 148 89
East South Central .................: 705 1,237 1,827 259 148
West South Central .................: 850 1,315 1,166 137 89
Mountain ...........................: 45 40 38 84 95
Pacific ............................: 65,032 86,827 73,544 113 85
Cherries, tart (ripe tart pitted) :
New England ........................: - - - (X) (X)
Middle Atlantic ....................: 4,752 5,178 4,316 91 83
East North Central .................: 72,678 95,003 89,535 123 94
West North Central .................: 125 261 244 195 93
South Atlantic .....................: 38 38 67 176 176
East South Central .................: - 8 8 (X) 100
West South Central .................: 97 125 136 140 109
Mountain ...........................: 9,487 22,029 20,707 218 94
Pacific ............................: 4,454 6,677 6,106 137 91
Cherries, sweet :
New England ........................: - - - (X) (X)
Middle Atlantic ....................: 290 509 370 128 73
East North Central .................: 9,151 14,722 13,797 151 94
West North Central .................: 313 136 133 42 98
South Atlantic .....................: 2 7 5 250 71
East South Central .................: 28 141 141 504 100
West South Central .................: 87 171 118 136 69
Mountain ...........................: - - - (X) (X)
Pacific ............................: 4,265 5,640 5,642 132 100
Peaches :
New England ........................: 3 42 52 1,733 124
Middle Atlantic ....................: 2,574 2,688 1,852 72 69
East North Central .................: 12,824 8,716 8,552 67 98
West North Central .................: 1,148 772 672 59 87
South Atlantic .....................: 1,021 1,259 1,280 125 102
East South Central .................: 263 154 131 50 85
West South Central .................: 492 582 433 88 74
Mountain ...........................: 46 4 6 13 150
Pacific ............................: 29,491 30,136 25,685 87 85
Raspberries, red :
New England ........................: 17 314 70 412 22
Middle Atlantic ....................: 1,656 2,882 2,958 179 103
East North Central .................: 1,176 1,414 1,554 132 110
West North Central .................: 1,491 1,641 1,473 99 90
South Atlantic .....................: 52 991 1,047 2,013 106
East South Central .................: 937 90 85 9 94
West South Central .................: 362 759 743 205 98
Mountain ...........................: 65 67 96 148 143
Pacific ............................: 39,315 43,975 39,235 100 89
------------------------------------------------------------------------------------------------------------------------
See footnote(s) at end of table. --continued
Frozen Fruit and Frozen Juice in Cold Storage - Regions: February 28, 2015 with Comparisons (continued)
------------------------------------------------------------------------------------------------------------------------
: :
: : February 28, 2015
: Stocks in all warehouses : as a percent of
: :
Commodity :---------------------------------------------------------------------------------
: February 28, : January 31, : February 28, :February 28, : January 31,
: 2014 : 2015 : 2015 : 2014 : 2015
------------------------------------------------------------------------------------------------------------------------
: --------------- 1,000 pounds -------------- ---- percent ----
:
Strawberries, total :
New England ........................: 92 92 115 125 125
Middle Atlantic ....................: 3,939 7,422 6,563 167 88
East North Central .................: 15,489 9,184 8,495 55 92
West North Central .................: 4,314 4,844 3,944 91 81
South Atlantic .....................: 1,598 1,410 1,816 114 129
East South Central .................: 7,244 2,456 2,194 30 89
West South Central .................: 14,784 9,671 11,832 80 122
Mountain ...........................: 36 57 6 17 11
Pacific ............................: 167,672 140,384 128,386 77 91
Other :
New England ........................: 5,034 24,453 22,553 448 92
Middle Atlantic ....................: 4,406 10,900 10,943 248 100
East North Central .................: 329,143 305,670 272,973 83 89
West North Central .................: 6,444 6,755 5,583 87 83
South Atlantic .....................: 2,131 2,989 2,625 123 88
East South Central .................: 157 481 425 271 88
West South Central .................: 14,070 7,179 6,945 49 97
Mountain ...........................: 1,417 1,456 1,313 93 90
Pacific ............................: 112,725 121,119 109,833 97 91
:
Frozen juice concentrate :
Orange 1/ :
New England ........................: 25 61 27 108 44
East North Central .................: 3,144 2,486 2,337 74 94
West North Central .................: 465 380 435 94 114
South Atlantic .....................: 762,489 706,554 709,384 93 100
East South Central .................: 30 9 9 30 100
West South Central .................: 4,200 2,620 5,925 141 226
Mountain ...........................: 1,480 1,144 1,638 111 143
Pacific ............................: 27,484 7,493 8,669 32 116
Other :
New England ........................: 3,742 3,067 3,129 84 102
Middle Atlantic ....................: 34,645 48,028 44,110 127 92
East North Central .................: 25,335 21,289 20,182 80 95
West North Central .................: 9,259 8,255 8,252 89 100
South Atlantic .....................: 65,685 59,774 63,540 97 106
East South Central .................: 1,188 1,234 1,210 102 98
West South Central .................: 23,359 23,971 22,994 98 96
Mountain ...........................: 1,614 1,677 1,645 102 98
Pacific ............................: 118,086 114,414 114,469 97 100
Total frozen juice concentrate 2/ :
New England ........................: 3,767 3,128 3,156 84 101
Middle Atlantic ....................: 34,645 48,028 44,110 127 92
East North Central .................: 28,479 23,775 22,519 79 95
West North Central .................: 9,724 8,635 8,687 89 101
South Atlantic .....................: 828,174 766,328 772,924 93 101
East South Central .................: 1,218 1,243 1,219 100 98
West South Central .................: 27,559 26,591 28,919 105 109
Mountain ...........................: 3,094 2,821 3,283 106 116
Pacific ............................: 145,570 121,907 123,138 85 101
------------------------------------------------------------------------------------------------------------------------
- Represents zero.
(X) Not applicable.
1/ Middle Atlantic combined with South Atlantic.
2/ Middle Atlantic orange juice combined with South Atlantic.
Frozen Vegetables in Cold Storage - Regions: February 28, 2015 with Comparisons
------------------------------------------------------------------------------------------------------------------------
: :
: : February 28, 2015
: Stocks in all warehouses : as a percent of
: :
Commodity :---------------------------------------------------------------------------------
: February 28, : January 31, : February 28, :February 28, : January 31,
: 2014 : 2015 : 2015 : 2014 : 2015
------------------------------------------------------------------------------------------------------------------------
: -------------- 1,000 pounds -------------- ----- percent ----
:
Frozen vegetables 1/ :
Asparagus :
Middle Atlantic ....................: 448 376 470 105 125
East North Central .................: 4,790 6,440 5,376 112 83
West North Central .................: 23 301 318 1,383 106
South Atlantic .....................: 877 470 497 57 106
West South Central .................: 1,650 1,240 1,286 78 104
Mountain ...........................: 27 33 33 122 100
Pacific ............................: 1,682 3,760 3,137 187 83
Lima beans :
Middle Atlantic ....................: 7,455 8,370 8,470 114 101
East North Central .................: 3,839 3,017 2,640 69 88
West North Central .................: 2,871 2,844 2,637 92 93
South Atlantic .....................: 22,184 27,854 25,360 114 91
West South Central .................: 377 914 864 229 95
Mountain ...........................: 2 4 2 100 50
Pacific ............................: 17,968 15,801 13,485 75 85
Green beans, regular cut :
Middle Atlantic ....................: 25,468 21,386 21,244 83 99
East North Central .................: 34,013 46,597 38,458 113 83
West North Central .................: 8,648 7,390 6,864 79 93
South Atlantic .....................: 6,060 8,111 8,013 132 99
West South Central .................: 3,135 3,893 4,343 139 112
Mountain ...........................: 142 37 123 87 332
Pacific ............................: 71,978 74,096 73,083 102 99
Green beans, french style :
Middle Atlantic ....................: 2,013 2,926 1,599 79 55
East North Central .................: 6,038 5,678 4,942 82 87
West North Central .................: 38 184 196 516 107
South Atlantic .....................: 144 108 117 81 108
West South Central .................: 95 79 77 81 97
Mountain ...........................: - - - (X) (X)
Pacific ............................: 3,279 4,239 3,598 110 85
Broccoli, spears :
Middle Atlantic ....................: 3,260 4,332 4,309 132 99
East North Central .................: 4,681 3,849 4,043 86 105
West North Central .................: 167 1,319 1,590 952 121
South Atlantic .....................: 889 2,706 2,513 283 93
West South Central .................: 7,433 11,157 10,649 143 95
Mountain ...........................: 1 6 5 500 83
Pacific ............................: 4,525 2,427 4,056 90 167
Broccoli, chopped and cut :
Middle Atlantic ....................: 3,176 4,252 4,329 136 102
East North Central .................: 9,764 6,723 6,903 71 103
West North Central .................: 685 239 310 45 130
South Atlantic .....................: 2,018 1,833 1,659 82 91
West South Central .................: 8,228 9,066 11,210 136 124
Mountain ...........................: 499 124 298 60 240
Pacific ............................: 9,200 12,514 12,547 136 100
------------------------------------------------------------------------------------------------------------------------
See footnote(s) at end of table. --continued
Frozen Vegetables in Cold Storage - Regions: February 28, 2015 with Comparisons (continued)
------------------------------------------------------------------------------------------------------------------------
: :
: : February 28, 2015
: Stocks in all warehouses : as a percent of
: :
Commodity :---------------------------------------------------------------------------------
: February 28, : January 31, : February 28, :February 28, : January 31,
: 2014 : 2015 : 2015 : 2014 : 2015
------------------------------------------------------------------------------------------------------------------------
: --------------- 1,000 pounds -------------- ---- percent ----
:
Brussels sprouts :
Middle Atlantic ....................: 2,558 2,184 1,954 76 89
East North Central .................: 2,141 1,924 1,846 86 96
West North Central .................: 74 163 202 273 124
South Atlantic .....................: 3,795 2,476 2,257 59 91
West South Central .................: 1,165 944 1,026 88 109
Mountain ...........................: - - - (X) (X)
Pacific ............................: 5,610 7,399 6,329 113 86
Carrots, diced :
Middle Atlantic ....................: 24,681 16,902 15,642 63 93
East North Central .................: 51,369 53,628 48,948 95 91
West North Central .................: 4,386 5,697 5,581 127 98
South Atlantic .....................: 473 299 360 76 120
West South Central .................: 542 431 542 100 126
Mountain ...........................: 3 4 3 100 75
Pacific ............................: 62,194 78,524 73,060 117 93
Carrots, other :
Middle Atlantic ....................: 15,597 14,207 12,935 83 91
East North Central .................: 43,261 39,458 33,202 77 84
West North Central .................: 3,155 3,454 3,365 107 97
South Atlantic .....................: 1,750 1,682 1,555 89 92
West South Central .................: 5,350 4,702 4,559 85 97
Mountain ...........................: 71 32 29 41 91
Pacific ............................: 65,003 91,621 81,136 125 89
Cauliflower :
Middle Atlantic ....................: 2,226 2,246 2,129 96 95
East North Central .................: 3,839 2,334 2,097 55 90
West North Central .................: 296 206 281 95 136
South Atlantic .....................: 134 479 473 353 99
West South Central .................: 2,896 3,176 2,857 99 90
Mountain ...........................: - 1 1 (X) 100
Pacific ............................: 11,748 11,730 10,472 89 89
Corn, cut :
Middle Atlantic ....................: 28,313 20,915 17,212 61 82
East North Central .................: 63,362 67,131 54,064 85 81
West North Central .................: 60,344 44,627 48,183 80 108
South Atlantic .....................: 10,242 16,887 15,354 150 91
West South Central .................: 2,200 3,122 3,055 139 98
Mountain ...........................: 920 619 780 85 126
Pacific ............................: 295,371 310,725 286,071 97 92
Corn, cob :
Middle Atlantic ....................: 4,415 5,718 5,534 125 97
East North Central .................: 15,938 9,831 8,814 55 90
West North Central .................: 34,516 48,412 42,046 122 87
South Atlantic .....................: 2,455 2,995 2,467 100 82
West South Central .................: 4,198 4,490 4,603 110 103
Mountain ...........................: 330 39 44 13 113
Pacific ............................: 138,710 134,515 112,026 81 83
------------------------------------------------------------------------------------------------------------------------
See footnote(s) at end of table. --continued
Frozen Vegetables in Cold Storage - Regions: February 28, 2015 with Comparisons (continued)
------------------------------------------------------------------------------------------------------------------------
: :
: : February 28, 2015
: Stocks in all warehouses : as a percent of
: :
Commodity :---------------------------------------------------------------------------------
: February 28, : January 31, : February 28, :February 28, : January 31,
: 2014 : 2015 : 2015 : 2014 : 2015
------------------------------------------------------------------------------------------------------------------------
: --------------- 1,000 pounds -------------- ---- percent ----
:
Mixed vegetables :
Middle Atlantic ....................: 2,259 4,098 3,456 153 84
East North Central .................: 17,865 20,117 20,407 114 101
West North Central .................: 312 507 432 138 85
South Atlantic .....................: 1,370 2,129 1,863 136 88
West South Central .................: 6,315 6,432 6,003 95 93
Mountain ...........................: 2,239 815 945 42 116
Pacific ............................: 23,848 21,740 22,920 96 105
Okra :
Middle Atlantic ....................: 1,235 2,158 2,333 189 108
East North Central .................: 221 572 518 234 91
West North Central .................: 34 45 33 97 73
South Atlantic .....................: 1,724 5,517 4,689 272 85
West South Central .................: 6,420 25,198 20,591 321 82
Mountain ...........................: - - - (X) (X)
Pacific ............................: 1,017 1,141 984 97 86
Onion rings :
Middle Atlantic ....................: 573 512 724 126 141
East North Central .................: 831 515 564 68 110
West North Central .................: 514 420 411 80 98
South Atlantic .....................: 3,802 4,181 3,385 89 81
West South Central .................: 1,435 1,570 1,690 118 108
Mountain ...........................: 1,443 1,626 1,736 120 107
Pacific ............................: 537 452 470 88 104
Onions, other :
Middle Atlantic ....................: 2,470 2,591 2,690 109 104
East North Central .................: 2,472 2,987 3,591 145 120
West North Central .................: 632 576 611 97 106
South Atlantic .....................: 2,502 2,389 2,410 96 101
West South Central .................: 1,823 1,698 4,837 265 285
Mountain ...........................: 11,392 8,572 9,313 82 109
Pacific ............................: 16,628 15,776 15,712 94 100
Blackeye peas :
Middle Atlantic ....................: 361 437 441 122 101
East North Central .................: 65 91 103 158 113
West North Central .................: - - - (X) (X)
South Atlantic .....................: 769 798 791 103 99
West South Central .................: 296 271 262 89 97
Mountain ...........................: - - - (X) (X)
Pacific ............................: 129 372 249 193 67
Green peas :
Middle Atlantic ....................: 12,536 19,796 17,344 138 88
East North Central .................: 32,714 28,444 24,852 76 87
West North Central .................: 9,525 12,483 15,155 159 121
South Atlantic .....................: 9,306 14,123 12,068 130 85
West South Central .................: 3,676 3,446 3,740 102 109
Mountain ...........................: 33 4 3 9 75
Pacific ............................: 100,818 127,591 116,295 115 91
------------------------------------------------------------------------------------------------------------------------
See footnote(s) at end of table. --continued
Frozen Vegetables in Cold Storage - Regions: February 28, 2015 with Comparisons (continued)
------------------------------------------------------------------------------------------------------------------------
: :
: : February 28, 2015
: Stocks in all warehouses : as a percent of
: :
Commodity :---------------------------------------------------------------------------------
: February 28, : January 31, : February 28, :February 28, : January 31,
: 2014 : 2015 : 2015 : 2014 : 2015
------------------------------------------------------------------------------------------------------------------------
: ---------------- 1,000 pounds --------------- ----- percent ----
:
Peas and carrots mixed :
Middle Atlantic ....................: 429 886 701 163 79
East North Central .................: 1,251 651 685 55 105
West North Central .................: 40 120 53 133 44
South Atlantic .....................: 787 540 509 65 94
West South Central .................: 236 367 396 168 108
Mountain ...........................: - - - (X) (X)
Pacific ............................: 4,865 4,735 4,982 102 105
Spinach :
Middle Atlantic ....................: 5,671 6,233 5,693 100 91
East North Central .................: 5,231 3,657 3,741 72 102
West North Central .................: 642 641 710 111 111
South Atlantic .....................: 5,126 6,578 5,291 103 80
West South Central .................: 15,106 9,936 11,468 76 115
Mountain ...........................: 31 - - (X) (X)
Pacific ............................: 11,333 10,888 13,390 118 123
Squash, summer/zucchini :
Middle Atlantic ....................: 3,927 5,497 5,467 139 99
East North Central .................: 17,760 18,465 15,818 89 86
West North Central .................: 5 102 103 2,060 101
South Atlantic .....................: 3,661 3,431 3,107 85 91
West South Central .................: 8,017 5,052 4,521 56 89
Mountain ...........................: 146 12 39 27 325
Pacific ............................: 22,595 27,156 24,851 110 92
Southern greens :
Middle Atlantic ....................: 1,956 2,908 3,088 158 106
East North Central .................: 821 1,212 960 117 79
West North Central .................: 1 - - (X) (X)
South Atlantic .....................: 2,247 2,366 2,330 104 98
West South Central .................: 8,195 5,133 8,292 101 162
Mountain ...........................: - - - (X) (X)
Pacific ............................: 558 322 395 71 123
Other :
Middle Atlantic ....................: 46,230 53,178 52,870 114 99
East North Central .................: 66,930 72,354 68,729 103 95
West North Central .................: 17,082 18,190 17,190 101 95
South Atlantic .....................: 15,553 19,718 14,832 95 75
West South Central .................: 40,850 43,901 37,190 91 85
Mountain ...........................: 12,500 11,427 12,343 99 108
Pacific ............................: 167,627 138,950 132,748 79 96
Total frozen vegetables :
Middle Atlantic ....................: 197,257 202,108 190,634 97 94
East North Central .................: 389,196 395,675 351,301 90 89
West North Central .................: 143,990 147,920 146,271 102 99
South Atlantic .....................: 97,868 127,670 111,900 114 88
West South Central .................: 129,638 146,218 144,061 111 99
Mountain ...........................: 29,779 23,355 25,697 86 110
Pacific ............................: 1,037,223 1,096,474 1,011,996 98 92
------------------------------------------------------------------------------------------------------------------------
- Represents zero.
(X) Not applicable.
1/ New England combined with Middle Atlantic. East South Central combined with South Atlantic.
Frozen Potatoes in Cold Storage - Regions: February 28, 2015 with Comparisons
------------------------------------------------------------------------------------------------------------------------
: :
: : February 28, 2015
: Stocks in all warehouses : as a percent of
: :
Commodity :---------------------------------------------------------------------------------
: February 28, : January 31, : February 28, :February 28, : January 31,
: 2014 : 2015 : 2015 : 2014 : 2015
------------------------------------------------------------------------------------------------------------------------
: --------------- 1,000 pounds -------------- ---- percent ----
:
Frozen potatoes :
French fries :
New England ........................: 19,632 20,604 32,914 168 160
Middle Atlantic ....................: 24,932 22,879 23,555 94 103
East North Central .................: 45,640 38,641 38,094 83 99
West North Central .................: 111,625 103,232 106,657 96 103
South Atlantic .....................: 45,883 50,429 49,773 108 99
East South Central .................: 284 1,313 1,061 374 81
West South Central .................: 30,251 32,126 28,505 94 89
Mountain ...........................: 215,267 166,392 179,289 83 108
Pacific ............................: 431,216 457,645 458,980 106 100
Other :
New England ........................: 5,855 4,050 1,287 22 32
Middle Atlantic ....................: 12,522 14,076 16,814 134 119
East North Central .................: 16,662 16,786 18,621 112 111
West North Central .................: 10,925 10,049 11,860 109 118
South Atlantic .....................: 17,266 14,575 17,153 99 118
East South Central .................: 478 231 311 65 135
West South Central .................: 20,798 18,246 18,926 91 104
Mountain ...........................: 57,069 64,615 68,405 120 106
Pacific ............................: 57,825 49,251 54,358 94 110
Total frozen potatoes :
New England ........................: 25,487 24,654 34,201 134 139
Middle Atlantic ....................: 37,454 36,955 40,369 108 109
East North Central .................: 62,302 55,427 56,715 91 102
West North Central .................: 122,550 113,281 118,517 97 105
South Atlantic .....................: 63,149 65,004 66,926 106 103
East South Central .................: 762 1,544 1,372 180 89
West South Central .................: 51,049 50,372 47,431 93 94
Mountain ...........................: 272,336 231,007 247,694 91 107
Pacific ............................: 489,041 506,896 513,338 105 101
------------------------------------------------------------------------------------------------------------------------
Frozen Red Meat in Cold Storage - Regions: February 28, 2015 with Comparisons
------------------------------------------------------------------------------------------------------------------------
: :
: : February 28, 2015
: Stocks in all warehouses : as a percent of
: :
Commodity :---------------------------------------------------------------------------------
: February 28, : January 31, : February 28, :February 28, : January 31,
: 2014 : 2015 : 2015 : 2014 : 2015
------------------------------------------------------------------------------------------------------------------------
: --------------- 1,000 pounds -------------- ---- percent ----
:
Frozen red meat :
Beef :
Boneless :
New England ......................: 237 600 854 360 142
Middle Atlantic ..................: 71,527 97,569 100,736 141 103
East North Central ...............: 40,884 66,697 66,155 162 99
West North Central ...............: 124,487 144,657 145,981 117 101
South Atlantic ...................: 7,460 10,105 11,575 155 115
East South Central ...............: 4,689 3,589 2,929 62 82
West South Central ...............: 40,786 32,313 34,503 85 107
Mountain .........................: 18,668 19,849 18,135 97 91
Pacific ..........................: 57,066 70,733 69,899 122 99
Beef cuts :
New England ......................: 173 172 129 75 75
Middle Atlantic ..................: 13,166 6,022 3,555 27 59
East North Central ...............: 7,649 6,473 6,239 82 96
West North Central ...............: 5,807 8,598 7,702 133 90
South Atlantic ...................: 2,399 4,570 4,618 192 101
East South Central ...............: 766 708 626 82 88
West South Central ...............: 3,307 4,178 3,745 113 90
Mountain .........................: 1,195 1,220 1,139 95 93
Pacific ..........................: 9,241 13,936 13,596 147 98
Total beef :
New England ......................: 410 772 983 240 127
Middle Atlantic ..................: 84,693 103,591 104,291 123 101
East North Central ...............: 48,533 73,170 72,394 149 99
West North Central ...............: 130,294 153,255 153,683 118 100
South Atlantic ...................: 9,859 14,675 16,193 164 110
East South Central ...............: 5,455 4,297 3,555 65 83
West South Central ...............: 44,093 36,491 38,248 87 105
Mountain .........................: 19,863 21,069 19,274 97 91
Pacific ..........................: 66,307 84,669 83,495 126 99
Other meat 1/ :
Veal :
Middle Atlantic ..................: 1,017 4,036 3,323 327 82
East North Central ...............: 887 1,286 1,053 119 82
West South Central ...............: 567 2,325 4,465 787 192
Pacific ..........................: 719 642 773 108 120
Lamb and mutton :
Middle Atlantic ..................: 12,358 13,205 15,184 123 115
East North Central ...............: 1,748 1,776 1,877 107 106
West South Central ...............: 919 3,082 2,967 323 96
Pacific ..........................: 11,166 17,143 16,766 150 98
Total other meat :
Middle Atlantic ..................: 13,375 17,241 18,507 138 107
East North Central ...............: 2,635 3,062 2,930 111 96
West South Central ...............: 1,486 5,407 7,432 500 137
Pacific ..........................: 11,885 17,785 17,539 148 99
------------------------------------------------------------------------------------------------------------------------
1/ New England and South Atlantic combined with Middle Atlantic. East South Central combined with East North Central.
West North Central combined with West South Central. Mountain combined with Pacific.
Definitions
Beef, boneless: Includes all boxed boneless beef, such as ground beef,
roasts, steaks, loins, strips, rounds, trimmings, etc. Excludes variety meats
(edible offal), such as tongues, livers, hearts, kidneys, and other organs
removed from slaughtered beef.
Beef cuts: Includes all boxed primal beef cuts, bone-in.
Orange juice concentrate: Adjusted to 42.0 degrees Brix equivalent (9.896
pounds per gallon).
Pork, boneless hams: Includes full ham, bone removed and individual muscles
separated.
Pork, boneless loins: Includes pork tenderloins.
Pork, ribs: Includes spareribs and backribs.
Pork, trimmings: Includes 42% regular trimmings, 72% special trimmings,
boneless picnic meat, jowls, neckbone trimmings, blade, cheek, head, and
shank meat, etc. Packaged bacon, sausage, and processed items, such as hot
dogs and luncheon meats, are not included.
Pork, other: Includes ears, tails, feet, neckbones and snouts.
Pork, variety meats: Includes tongues, kidneys, livers, stomachs, hearts,
chitterlings, salivary glands, and other organs removed from slaughtered
hogs.
Pork, unclassified: Includes product unable to be classified elsewhere in
this report.
Publication Notes
Published February 20, 2015: The 2014 revisions of Butter, Carrots Other, and
Carrot Diced are the result of updated facility information. There was also
an increase in reported data for Chicken, Beef and Pork Products due to
increased coverage and participation of facilities in the survey. Please
refer to the Cold Storage 2014 Summary, published February 20, 2015, for all
2014 cold storage commodity estimates. All updated data is also available on
our Quick Stats website.
Published February 21, 2014: The 2013 revisions of chicken leg quarters are
the result of updated facility information. Please refer to the Cold Storage
2013 Summary, published February 21, 2014, for all 2013 cold storage
commodity estimates. All updated data is also available on our Quick Stats
website.
Published February 22, 2013: The 2012 revisions of American and other natural
cheese are the result of increased coverage of cold storage facilities.
Please refer to the Cold Storage 2012 Summary, published February 22, 2013,
for all 2012 cold storage commodity estimates. All updated data is also
available on our Quick Stats website.
Published December 22, 2012: Beginning with the February 22, 2013 release,
estimates for shelled and in-shell peanuts are scheduled to be discontinued.
Published March 22, 2011: Beginning with the January 31, 2011 data, an
increase in survey response and a change in classification of reported data
resulted in an increase of breasts & breast meat, drumsticks, legs, and wings
along with a corresponding decrease in other chicken. Updated historic
reported data prior to 2011 was unavailable. Year to year relationships was
impacted by this change.
Published February 22, 2011: The 2010 revisions of American and other natural
cheese was the result of increased coverage of cold storage facilities.
Please refer to the Cold Storage 2010 Summary, published February 22, 2011,
for all 2010 cold storage commodity estimates. Beginning with the January 31,
2010 data, cherries, tart (juice) was published under two categories:
cherries, tart (juice stock) and cherries, tart (juice concentrate). The 2010
monthly data for these categories was published in the Cold Storage 2010
Summary, released on February 22, 2010. All updated data is also available on
our Quick Stats website.
Published June 22, 2010: A change in classification of reported data
beginning with May 31, 2010 in the Other Chicken category resulted in an
increase of Leg Quarters, Legs, and Paws and Feet along with a corresponding
decrease in Other Chicken. There was also an increase in reported data for
Drumsticks, Leg Quarters, Paws and Feet, and Other Chicken due to increased
coverage and participation of facilities in the survey. Updated historic data
prior to May 31, 2010 for these facilities were unavailable. All updated data
is also available on our Quick Stats website.
Published February 22, 2010: A change in classification of reported data
beginning with January 31, 2009 in the Other Chicken category resulted in an
increase of Leg Quarters along with a corresponding decrease in Other
Chicken. The updated 2009 data for these categories was published in the 2009
Annual Summary, released on February 22, 2010. The Total Chicken category was
unaffected by this change in reporting. All updated data is also available on
our Quick Stats website.
Published December 22, 2009: The increase in Orange Juice Concentrate from
October to November 2009 reflected previously unreported stocks included in
the November estimate. Revisions for October and previous months were not
available at this time. All updated data is also available on our Quick Stats
website.
Published November 20, 2009: Due to updated facility information, the January
2009 - September 2009 cheese data was revised. Please note the revision
tables on pages 13 and 14. Updated data for 2008 was not available. All
updated data is also available on our Quick Stats website.
Published October 22, 2009: Beginning with the February 22, 2010 Cold Storage
report, Other Turkey was separated into the following five categories: breast
meat, legs, mechanically deboned meat, other, and unclassified. The 2009 data
for these categories was published in the 2009 Annual Summary, released on
February 22, 2010. Data for the five categories prior to 2009 was not
available. All updated data is also available on our Quick Stats website.
Published June 22, 2009: Beginning with April 30, 2009 revised estimates, an
increase in strawberry inventory was the result of increased coverage of cold
storage facilities as well as updated plant information. The April 2009
revisions of frozen strawberries covered the following categories: Total, IQF
and Poly, Pails and Tubs, Barrels and Drums, and Juice Stock. Updated
historic reported strawberry data prior to April 2009 was unavailable. Year
to year relationships for strawberry and the total fruit categories were
impacted by this change.
Statistical Methodology
Survey Procedures: Questionnaires are mailed about the 24th of each month to
all operators on the list of approximately 800 public and private cold
storage warehouses. In addition, data are obtained from special surveys and
other sources. All survey data represent stocks as of the end of the month.
Data are collected from warehouses artificially cooled to a temperature of 50
degrees Fahrenheit or lower, and whose food products are normally stored for
30 days or more. All food items in these facilities are reported regardless
of the number of days stored at the time of the report. Also included are
specialized storage facilities meeting the 30 day requirement, such as fruit
houses, dairy manufacturing plants, frozen fruit, fruit juice, vegetable
processors, and poultry and meat packing plants. Excluded are stocks in space
maintained by wholesalers, jobbers, distributors, chain stores, locker plants
containing individual lockers, meat packer branch houses, and frozen food
processors whose entire inventories are turned over more than once a month.
All commodities reported on the cold storage report are regardless of
ownership or origin. NASS does not differentiate between commodities owned by
manufacturer, producer, wholesaler, retailer, government owned, or
domestically produced vs. imported.
Estimating Procedures: Data for reporting firms are added to estimates for
non-reporting firms to obtain regional and National totals. Estimates for
non-reporting firms are obtained by multiplying the previous month's figure
by a percent change from the previous month. The percent change is calculated
for each item from totals of the current and previous month summed from firms
that reported both months.
Revision Policy: Data are revised the following month based on late reports
or corrected data. Final figures are published in the annual summary in
February of the following year.
Reliability: Reports are received from 600 firms each month which represent
about 75 percent of the total capacity. Firms that are not on the list or
firms who have never reported are not represented in the data. Plants storing
butter or cheese are required under Federal law as defined in Public Laws
106-532 and 107-171 to complete the monthly Cold Storage report. Monthly data
can vary due to different firms reporting month to month. Survey data are
also subject to non-sampling errors such as omissions and mistakes in
reporting and in processing the data. While these errors cannot be measured
directly, they are minimized by carefully reviewing all reported data for
consistency and reasonableness.
Information Contacts
Listed below are the commodity specialists in the Livestock Branch of the National
Agricultural Statistics Service to contact for additional information. E-mail inquiries
may be sent to [email protected]
Dan Kerestes, Chief, Livestock Branch ..................................... (202) 720-3570
Bruce Boess, Head, Poultry and Specialty Commodities Section .............. (202) 720-4447
Alissa Cowell-Mytar - Cold Storage ..................................... (202) 720-4751
Heidi Gleich - Broiler Hatchery, Chicken Hatchery ...................... (202) 720-0585
Michael Klamm - Poultry Slaughter, Turkey Hatchery, Turkeys Raised ..... (202) 690-3237
Tom Kruchten - Census of Aquaculture ................................... (202) 690-4870
Kim Linonis - Layers, Eggs ............................................. (202) 690-8632
Sammy Neal - Catfish Production, Egg Products, Mink, Trout Production .. (202) 720-3244
Joshua O'Rear - Honey .................................................. (202) 690-3676
Access to NASS Reports
For your convenience, you may access NASS reports and products the following
ways:
All reports are available electronically, at no cost, on the NASS web
site: http://www.nass.usda.gov
Both national and state specific reports are available via a free e-
mail subscription. To set-up this free subscription, visit
http://www.nass.usda.gov and in the "Follow NASS" box under "Receive
reports by Email," click on "National" or "State" to select the reports
you would like to receive.
For more information on NASS surveys and reports, call the NASS Agricultural
Statistics Hotline at (800) 727-9540, 7:30 a.m. to 4:00 p.m. ET, or e-mail:
[email protected].
The U.S. Department of Agriculture (USDA) prohibits discrimination against
its customers, employees, and applicants for employment on the basis of race,
color, national origin, age, disability, sex, gender identity, religion,
reprisal, and where applicable, political beliefs, marital status, familial
or parental status, sexual orientation, or all or part of an individual's
income is derived from any public assistance program, or protected genetic
information in employment or in any program or activity conducted or funded
by the Department. (Not all prohibited bases will apply to all programs
and/or employment activities.)
If you wish to file a Civil Rights program complaint of discrimination,
complete the USDA Program Discrimination Complaint Form (PDF), found online
at http://www.ascr.usda.gov/complaint_filing_cust.html, or at any USDA
office, or call (866) 632-9992 to request the form. You may also write a
letter containing all of the information requested in the form. Send your
completed complaint form or letter to us by mail at U.S. Department of
Agriculture, Director, Office of Adjudication, 1400 Independence Avenue,
S.W., Washington, D.C. 20250-9410, by fax (202) 690-7442 or email at
[email protected].
Cold Storage
The International Year of Soils: Soils Support Agriculture
Food production would not occur without productive, living soils.
MANHATTAN, Kan. – From field crops to garden vegetables, various types of foods rely on soil for growth. The world population continues to grow, and one of the main challenges those involved in agriculture face is increasing the overall productivity of soils to meet elevated food demands.
“We have crops today with highly productive genetics that require productive soils,” said Dorivar Ruiz Diaz, associate professor of agronomy at Kansas State University. “I think our job as agronomists and farmers is to maintain and improve that productivity through proper management.”
The International Year of Soils is taking place in 2015, and it calls to mind the importance of soil for life to exist. Food production is necessary to sustain life, which is why March’s theme is “Soils Support Agriculture.”
Soils contain nutrients
In the K-State soil-testing lab, scientists routinely examine soil samples for many different nutrients; nitrogen, phosphorus, potassium, zinc and sulfur are among the most common, as these nutrients are all essential for plant growth, said David Mengel, K-State professor of agronomy.
Soils are an important source of nutrients for all crops produced in Kansas and beyond, he said. Scientists can make recommendations on what nutrient adjustments are needed, based on findings from soil tests.
“The nutrient concentration in soils can be replenished in a number of ways,” Mengel said. “There are a lot of natural processes that occur that provide nutrients for our crops through the soil. For example, free-living organisms and legumes grown in the field can produce nitrogen for crops. We also can get deposition of sulfur and nitrogen from the atmosphere.”
In addition to enhancing soil nutrients naturally, farmers can also apply nutrients in other forms, including using fertilizers, animal manure and waste products from cities and industries.
Ruiz Diaz said another important way to enhance soil nutrients naturally is through crop rotation. Especially in a state such as Kansas, which has a productive agricultural system that includes many different crops for both human and animal consumption, a systematic approach of deciding which crops to plant year-to-year becomes important. Different crops use different amounts of water and nutrients, which can affect the soil balance.
“Kansas is diverse in terms of its cropping system,” Ruiz Diaz said. “Some of the main crops are wheat for primarily human consumption, as well as corn, soybeans and sorghum. We have many other types of crops and vegetable production as well.”
“Producers use crop rotation as one key tool, as well use cover crops, to help with the cycling of nutrients in the soil.”
With the use of cover crops, which are crops planted specifically for erosion management and to enhance soil fertility, soil quality and water infiltration, farmers strive to increase soil and environmental health. Cover crops can add nutrients to the soil both at the surface and below the surface through their valuable root systems.
“Both agronomists and farmers are concerned and focused on not just maintaining, but also increasing the overall health and productivity of soils to secure food production,” Ruiz Diaz said. “We try to do a good job minimizing any potential nutrient losses and losses to surface water.”
Soils help supply water
Another important function of soils is to store water that plants need for growth. Although many areas of the United States, including parts of Kansas, don’t receive much rainfall annually, soils used for food production have the capacity to hold large quantities of water to help make up for rain shortfalls.
Mengel said farmers can help the soil accept and store water in many ways, including conservation tillage, which is used to keep the surface of the soil covered with crop residues to enhance the infiltration of water and reduce runoff.
An increasing number of farmers are using a no-till system, Ruiz Diaz said, which means they intentionally do not mix and disturb the soil prior to planting. This helps maintain residue on the soil surface and capture more water.
Another alternative to no-till is a minimum tillage system, sometimes called strip-till, where farmers only disturb a small amount of soil to place the seeds, nutrients and fertilizer. A strip-till system, although it does disturb the soil to some degree, can provide a balance between a good seedbed and soil protection with residue cover.
In addition to conservation tillage practices, farmers can also produce crops that are known to use less water, Mengel said. This is especially helpful for Kansas farmers who experience drier conditions, particularly those in western areas of the state.
“Crops differ tremendously in their ability to withstand drought stress,” he said. “So we use crops like sorghum, for example, that is drought tolerant. We use that in areas of western Kansas where there isn’t enough rainfall and stored water to be able to grow corn reliably.”
“The other thing is change the season in which the crop grows,” Mengel added. “A good example of that is wheat. Corn grows during the summertime when it is hot and dry. Corn may not survive well in some of our areas. However, we can grow winter wheat that we plant in the fall, it comes up early in the spring, and it’s done by the heat of the summer. It utilizes water a little more efficiently, and it’s much more capable of withstanding the stressful conditions in some areas.”
More information
For more information about soils and agricultural production, contact your local extension office or visit the K-State Research and Extension website.
To watch the video interview with Mengel and Ruiz Diaz, go the K-State Research and Extension YouTube page. The Soil Science Society of America has resources for the public, teachers and children about soil and each monthly theme for the International Year of Soils.
Story By: Katie Allen
Chickens and Eggs
ISSN: 1948-9064
Released March 23, 2015, by the National Agricultural Statistics Service
(NASS), Agricultural Statistics Board, United States Department of
Agriculture (USDA).
February Egg Production Up 1 Percent
United States egg production totaled 7.62 billion during February 2015, up
1 percent from last year. Production included 6.61 billion table eggs, and
1.01 billion hatching eggs, of which 928 million were broiler-type and 80
million were egg-type. The total number of layers during February 2015
averaged 362 million, up 1 percent from last year. February egg production
per 100 layers was 2,104 eggs, unchanged from February 2014.
All layers in the United States on March 1, 2015 totaled 362 million, up
1 percent from last year. The 362 million layers consisted of 305 million
layers producing table or market type eggs, 53.9 million layers producing
broiler-type hatching eggs, and 3.56 million layers producing egg-type
hatching eggs. Rate of lay per day on March 1, 2015, averaged 75.3 eggs per
100 layers, unchanged from March 1, 2014.
Egg-Type Chicks Hatched Up 6 Percent
Egg-type chicks hatched during February 2015 totaled 42.8 million, up
6 percent from February 2014. Eggs in incubators totaled 44.5 million on
March 1, 2015, up 14 percent from a year ago.
Domestic placements of egg-type pullet chicks for future hatchery supply
flocks by leading breeders totaled 309 thousand during February 2015, up
27 percent from February 2014.
Broiler-Type Chicks Hatched Up 3 Percent
Broiler-type chicks hatched during February 2015 totaled 711 million, up
3 percent from February 2014. Eggs in incubators totaled 647 million on March
1, 2015, up 3 percent from a year ago.
Leading breeders placed 7.92 million broiler-type pullet chicks for future
domestic hatchery supply flocks during February 2015, up 9 percent from
February 2014.
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Contents
Average Number of All Layers on Hand During the Month - United States: 2014-2015............................ 4
Egg Production During the Month by Type - United States: 2014-2015.......................................... 4
Average Number of Layers During the Month - United States................................................... 5
All Egg Production During the Month - United States......................................................... 5
Layers on Hand and Eggs Produced by Type and Molt - United States: January-February 2014 and 2015........... 6
Layers on Hand and Eggs Produced by Type and Molt - United States: February-March 2014 and 2015............. 7
Layers on Hand and Eggs Produced - States and United States: During January 2014 and 2015................... 8
Layers on Hand and Eggs Produced - States and United States: During February 2014 and 2015.................. 9
Egg Production by Type - States and United States: January 2014 and 2015.................................... 10
Egg Production by Type - States and United States: February 2014 and 2015................................... 11
Molted as Percent of All Layers by Month - United States: 2014-2015......................................... 12
Molted as Percent of All Layers - States and United States: March 1, 2014 and 2015.......................... 12
Hatchery Production - United States: 2014 and 2015.......................................................... 13
Egg-Type Eggs in Incubators on the First of the Month - Regions and United States: 2014-2015................ 14
Egg-Type Chicks Hatched by Month - United States: 2014-2015................................................. 14
Intended Placements of Egg-Type Pullet Chicks for Hatchery Supply Flocks by Month -
United States: 2014-2015.................................................................................... 15
Broiler-Type Eggs in Incubators on the First of the Month - Regions and United States: 2014-2015............ 15
Broiler-Type Chicks Hatched - States and United States: February 2014 and 2015.............................. 16
Broiler-Type Chicks Hatched by Month - United States: 2014-2015............................................. 16
Intended Placements of Broiler-Type Pullet Chicks for Hatchery Supply Flocks by Month and Total: 2014-2015.. 17
Statistical Methodology..................................................................................... 18
Regional Listing............................................................................................ 19
Terms and Definitions of Chickens and Eggs Estimates........................................................ 19
Information Contacts........................................................................................ 20
Average Number of All Layers on Hand During the Month - United States: 2014-2015
[Blank data cells indicate estimation period has not yet begun]
------------------------------------------------------------------------------------------
Month : 2014 : 2015
------------------------------------------------------------------------------------------
: 1,000 layers
:
December 1/ ..................: 360,673 365,691
January ......................: 359,556 363,732
February .....................: 358,967 362,164
March ........................: 359,955
April ........................: 360,826
May ..........................: 360,383
June .........................: 359,729
July .........................: 360,787
August .......................: 361,731
September ....................: 361,813
October ......................: 362,034
November .....................: 364,017
------------------------------------------------------------------------------------------
1/ December preceding year.
Egg Production During the Month by Type - United States: 2014-2015
[Totals may not add due to rounding. Blank data cells indicate estimation period
has not yet begun]
---------------------------------------------------------------------------------
: Total eggs : Table eggs : Hatching eggs
Month :-----------------------------------------------------------------
: 2014 : 2015 : 2014 : 2015 : 2014 : 2015
---------------------------------------------------------------------------------
: million eggs
:
December 1/ ...: 8,489 8,731 7,422 7,633 1,068 1,098
January .......: 8,397 8,540 7,321 7,428 1,077 1,112
February ......: 7,551 7,619 6,579 6,612 972 1,008
March .........: 8,430 7,354 1,077
April .........: 8,205 7,160 1,045
May ...........: 8,428 7,336 1,094
June ..........: 8,151 7,091 1,060
July ..........: 8,503 7,404 1,100
August ........: 8,491 7,394 1,098
September .....: 8,186 7,126 1,060
October .......: 8,526 7,433 1,094
November ......: 8,411 7,353 1,058
During year ...: 99,768 86,971 12,803
---------------------------------------------------------------------------------
1/ December preceding year.
Layers on Hand and Eggs Produced by Type and Molt - United States:
January-February 2014 and 2015
[Totals may not add due to rounding]
------------------------------------------------------------------------------------------
: : : 2015 as
Item : 2014 : 2015 : percent
: : : of 2014
------------------------------------------------------------------------------------------
:
Layers during January :
All layers ....................................1,000: 359,556 363,732 101
Table egg type ..............................1,000: 303,392 306,397 101
Hatching egg type ...........................1,000: 56,164 57,335 102
Broiler-type hatching .....................1,000: 52,858 53,826 102
Egg-type hatching .........................1,000: 3,306 3,509 106
:
Eggs per 100 layers during January :
All layers ...................................number: 2,335 2,348 101
Table egg type .............................number: 2,413 2,424 100
Hatching egg type ..........................number: 1,918 1,939 101
Broiler-type hatching ....................number: 1,882 1,906 101
Egg-type hatching ........................number: 2,480 2,451 99
:
Eggs produced during January :
All layers ..................................million: 8,397 8,540 102
Table egg type ............................million: 7,321 7,428 101
Hatching egg type .........................million: 1,077 1,112 103
Broiler-type hatching ...................million: 995 1,026 103
Egg-type hatching .......................million: 82 86 105
:
Layers on February 1 :
All layers ....................................1,000: 358,861 362,123 101
Table egg type ..............................1,000: 302,343 304,613 101
Hatching egg type ...........................1,000: 56,518 57,510 102
Broiler-type hatching .....................1,000: 53,146 53,944 102
Egg-type hatching .........................1,000: 3,372 3,566 106
:
Eggs per 100 layers on February 1 :
All layers ...................................number: 74.9 74.8 100
Table egg type .............................number: 77.5 77.2 100
Hatching egg type ..........................number: 61.4 62.3 101
Broiler-type hatching ....................number: 60.3 61.2 101
Egg-type hatching ........................number: 78.7 78.3 99
:
Molted layers on February 1 :
Being molted ................................percent: 2.8 3.3 118
Molt completed ..............................percent: 18.0 17.9 99
:
Layers sold for slaughter during January ........1,000: 15,707 16,514 105
:
Layers rendered, died, destroyed, composted :
or disappeared for any reason during January ...1,000: 8,222 8,231 100
:
Pullets on February 1 ...........................1,000: 108,122 108,681 101
:
Pullets added during January 1/ .................1,000: 22,821 23,872 105
------------------------------------------------------------------------------------------
1/ Pullet chicks less than 3 days old added to pullet flocks.
Layers on Hand and Eggs Produced by Type and Molt - United States:
February-March 2014 and 2015
[Totals may not add due to rounding]
-----------------------------------------------------------------------------------------
: : : 2015 as
Item : 2014 : 2015 : percent
: : : of 2014
-----------------------------------------------------------------------------------------
:
Layers during February :
All layers ...................................1,000: 358,967 362,164 101
Table egg type .............................1,000: 302,666 304,669 101
Hatching egg type ..........................1,000: 56,301 57,495 102
Broiler-type hatching ....................1,000: 52,990 53,929 102
Egg-type hatching ........................1,000: 3,311 3,566 108
:
Eggs per 100 layers during February :
All layers ..................................number: 2,104 2,104 100
Table egg type ............................number: 2,174 2,170 100
Hatching egg type .........................number: 1,726 1,753 102
Broiler-type hatching ...................number: 1,695 1,721 102
Egg-type hatching .......................number: 2,235 2,243 100
:
Eggs produced during February :
All layers .................................million: 7,551 7,619 101
Table egg type ...........................million: 6,579 6,612 101
Hatching egg type ........................million: 972 1,008 104
Broiler-type hatching ..................million: 898 928 103
Egg-type hatching ......................million: 74 80 108
:
Layers on March 1 :
All layers ...................................1,000: 359,078 362,180 101
Table egg type .............................1,000: 303,008 304,714 101
Hatching egg type ..........................1,000: 56,070 57,466 102
Broiler-type hatching ....................1,000: 52,823 53,905 102
Egg-type hatching ........................1,000: 3,247 3,561 110
:
Eggs per 100 layers on March 1 :
All layers ..................................number: 75.3 75.3 100
Table egg type ............................number: 77.8 77.7 100
Hatching egg type .........................number: 61.9 62.3 101
Broiler-type hatching ...................number: 60.7 61.0 100
Egg-type hatching .......................number: 81.6 81.9 100
:
Molted layers on March 1 :
Being molted ...............................percent: 2.4 1.8 75
Molt completed .............................percent: 18.0 18.7 104
:
Layers sold for slaughter during February ......1,000: 15,877 15,666 99
:
Layers rendered, died, destroyed, composted :
or disappeared for any reason during February .1,000: 8,244 5,826 71
:
Pullets on March 1 .............................1,000: 107,660 108,803 101
:
Pullets added during February 1/ ...............1,000: 24,543 23,270 95
-----------------------------------------------------------------------------------------
1/ Pullet chicks less than 3 days old added to pullet flocks.
Layers on Hand and Eggs Produced - States and United States: During
January 2014 and 2015
----------------------------------------------------------------------------------------
: Table egg layers in : : Eggs per 100 for
:flocks 30,000 and above: All layers : all layers
State :-----------------------------------------------------------------------
: 2014 : 2015 : 2014 : 2015 : 2014 : 2015
----------------------------------------------------------------------------------------
: --------------- 1,000 layers -------------- ------ eggs -----
:
Alabama ........: 1,506 1,536 9,275 9,268 1,930 1,964
Arkansas .......: 3,698 3,737 11,930 12,720 2,070 2,099
California .....: 16,306 12,877 16,736 13,375 2,366 2,340
Colorado .......: 4,515 4,027 4,929 4,400 2,516 2,409
Connecticut ....: 2,285 2,285 2,379 2,378 2,354 2,355
Florida ........: 8,264 8,760 8,655 9,122 2,322 2,302
Georgia ........: 9,252 9,971 18,105 18,870 2,209 2,162
Illinois .......: 4,251 4,334 4,726 4,794 2,433 2,461
Indiana ........: 26,576 25,885 27,572 26,767 2,394 2,324
Iowa ...........: 57,386 58,491 58,522 59,723 2,331 2,403
:
Maine ..........: 3,476 3,476 3,531 3,531 2,407 2,407
Maryland .......: 2,669 2,649 2,830 2,814 2,332 2,416
Michigan .......: 12,482 12,828 12,708 13,062 2,439 2,503
Minnesota ......: 10,214 11,390 10,634 11,845 2,417 2,431
Mississippi ....: 1,531 1,535 5,782 5,676 2,024 2,079
Missouri .......: 6,196 6,674 8,502 8,916 2,294 2,310
Nebraska .......: 9,325 9,459 9,433 9,567 2,512 2,550
New York .......: 4,676 4,732 5,036 5,087 2,502 2,536
North Carolina .: 5,805 6,575 13,205 14,331 2,143 2,198
Ohio ...........: 28,751 29,692 29,599 30,554 2,473 2,415
:
Oregon .........: 2,199 2,194 2,338 2,333 2,609 2,615
Pennsylvania ...: 24,274 23,987 26,185 26,043 2,486 2,550
South Carolina .: 3,115 3,178 4,368 4,437 2,312 2,186
South Dakota ...: 2,498 2,496 2,640 2,638 2,462 2,426
Texas ..........: 14,885 14,885 19,003 19,037 2,289 2,243
Utah ...........: 3,855 4,298 3,893 4,336 2,415 2,491
Virginia .......: 1,093 1,251 2,834 2,953 2,152 2,201
Washington .....: 6,829 7,225 6,993 7,390 2,302 2,449
Wisconsin ......: 4,459 4,749 5,231 5,526 2,504 2,407
:
Other States 1/ : 13,018 13,140 21,982 22,239 2,215 2,271
:
United States ..: 295,389 298,316 359,556 363,732 2,335 2,348
----------------------------------------------------------------------------------------
1/ Includes data for States not published in this table.
Layers on Hand and Eggs Produced - States and United States: During
February 2014 and 2015
----------------------------------------------------------------------------------------
: Table egg layers in : : Eggs per 100 for
:flocks 30,000 and above: All layers : all layers
State :-----------------------------------------------------------------------
: 2014 : 2015 : 2014 : 2015 : 2014 : 2015
----------------------------------------------------------------------------------------
: --------------- 1,000 layers -------------- ------ eggs -----
:
Alabama ........: 1,502 1,475 9,292 9,208 1,722 1,759
Arkansas .......: 3,672 3,814 11,873 12,715 1,845 1,880
California .....: 16,261 12,835 16,691 13,329 2,127 2,153
Colorado .......: 4,472 3,830 4,847 4,203 2,269 2,284
Connecticut ....: 2,242 2,242 2,336 2,335 2,055 2,056
Florida ........: 8,193 8,681 8,578 9,061 2,133 2,086
Georgia ........: 9,289 9,779 18,200 18,666 1,978 1,955
Illinois .......: 4,423 4,172 4,894 4,625 2,166 2,227
Indiana ........: 26,491 25,744 27,434 26,616 2,183 2,006
Iowa ...........: 57,728 58,330 58,918 59,562 2,086 2,147
:
Maine ..........: 3,503 3,503 3,558 3,558 2,192 2,192
Maryland .......: 2,546 2,648 2,709 2,814 2,178 2,203
Michigan .......: 12,724 12,894 12,962 13,147 2,245 2,236
Minnesota ......: 10,129 11,369 10,552 11,825 2,170 2,190
Mississippi ....: 1,530 1,564 5,801 5,755 1,862 1,877
Missouri .......: 6,248 6,526 8,556 8,776 2,069 2,097
Nebraska .......: 9,318 9,446 9,426 9,554 2,313 2,303
New York .......: 4,608 4,710 4,964 5,069 2,256 2,249
North Carolina .: 5,727 6,649 13,075 14,415 1,973 1,929
Ohio ...........: 28,948 29,936 29,800 30,798 2,211 2,175
:
Oregon .........: 2,127 2,253 2,266 2,392 2,295 2,383
Pennsylvania ...: 23,842 23,657 25,777 25,768 2,254 2,301
South Carolina .: 3,024 3,173 4,260 4,456 1,995 2,065
South Dakota ...: 2,517 2,537 2,659 2,679 2,181 2,128
Texas ..........: 14,786 14,759 18,916 19,004 2,072 1,989
Utah ...........: 3,897 4,179 3,935 4,217 2,135 2,205
Virginia .......: 990 1,167 2,775 2,924 1,910 1,984
Washington .....: 6,662 6,992 6,827 7,157 2,109 2,152
Wisconsin ......: 4,274 4,586 5,048 5,366 2,080 2,199
:
Other States 1/ : 13,008 13,138 22,038 22,170 1,992 2,030
:
United States ..: 294,681 296,588 358,967 362,164 2,104 2,104
----------------------------------------------------------------------------------------
1/ Includes data for States not published in this table.
Egg Production by Type - States and United States: January 2014 and 2015
[Totals may not add due to rounding. Data by type of flock not shown for some States to
avoid disclosing individual operations, data included in United States totals]
-----------------------------------------------------------------------------------------
: Total production : Table eggs : Hatching eggs
State :-----------------------------------------------------------------------
: 2014 : 2015 : 2014 : 2015 : 2014 : 2015
-----------------------------------------------------------------------------------------
: million eggs
:
Alabama .........: 179 182 35 39 144 143
Arkansas ........: 247 267 92 95 155 172
California ......: 396 313 (D) (D) (D) (D)
Colorado ........: 124 106 (D) (D) (D) (D)
Connecticut .....: 56 56 (D) (D) (D) (D)
Florida .........: 201 210 197 206 4 4
Georgia .........: 400 408 229 235 171 173
Illinois ........: 115 118 111 113 4 5
Indiana .........: 660 622 641 606 19 16
Iowa ............: 1,364 1,435 1,348 1,417 16 18
:
Maine ...........: 85 85 (D) (D) (D) (D)
Maryland ........: 66 68 65 67 1 1
Michigan ........: 310 327 (D) (D) (D) (D)
Minnesota .......: 257 288 251 282 6 6
Mississippi .....: 117 118 37 38 80 80
Missouri ........: 195 206 (D) (D) (D) (D)
Nebraska ........: 237 244 237 244 - -
New York ........: 126 129 (D) (D) (D) (D)
North Carolina ..: 283 315 148 172 135 143
Ohio ............: 732 738 (D) (D) (D) (D)
:
Oregon ..........: 61 61 61 61 - -
Pennsylvania ....: 651 664 623 635 28 29
South Carolina ..: 101 97 80 74 21 23
South Dakota ....: 65 64 65 64 - -
Texas ...........: 435 427 (D) (D) (D) (D)
Utah ............: 94 108 94 108 - -
Virginia ........: 61 65 30 34 31 31
Washington ......: 161 181 (D) (D) (D) (D)
Wisconsin .......: 131 133 (D) (D) (D) (D)
:
Other States 1/ .: 487 505 352 368 136 137
:
United States ...: 8,397 8,540 7,321 7,428 1,077 1,112
-----------------------------------------------------------------------------------------
- Represents zero.
(D) Withheld to avoid disclosing data for individual operations.
1/ Not published separately to avoid disclosing individual operations.
Egg Production by Type - States and United States: February 2014 and 2015
[Totals may not add due to rounding. Data by type of flock not shown for some States to
avoid disclosing individual operations, data included in United States totals]
-----------------------------------------------------------------------------------------
: Total production : Table eggs : Hatching eggs
State :-----------------------------------------------------------------------
: 2014 : 2015 : 2014 : 2015 : 2014 : 2015
-----------------------------------------------------------------------------------------
: million eggs
:
Alabama .........: 160 162 32 33 128 129
Arkansas ........: 219 239 80 87 139 152
California ......: 355 287 (D) (D) (D) (D)
Colorado ........: 110 96 (D) (D) (D) (D)
Connecticut .....: 48 48 (D) (D) (D) (D)
Florida .........: 183 189 179 185 4 4
Georgia .........: 360 365 206 210 154 155
Illinois ........: 106 103 102 99 4 4
Indiana .........: 599 534 583 519 16 15
Iowa ............: 1,229 1,279 1,213 1,262 16 17
:
Maine ...........: 78 78 (D) (D) (D) (D)
Maryland ........: 59 62 58 61 1 1
Michigan ........: 291 294 (D) (D) (D) (D)
Minnesota .......: 229 259 224 253 5 6
Mississippi .....: 108 108 34 35 74 73
Missouri ........: 177 184 (D) (D) (D) (D)
Nebraska ........: 218 220 218 220 - -
New York ........: 112 114 (D) (D) (D) (D)
North Carolina ..: 258 278 134 148 124 130
Ohio ............: 659 670 (D) (D) (D) (D)
:
Oregon ..........: 52 57 52 57 - -
Pennsylvania ....: 581 593 556 565 25 28
South Carolina ..: 85 92 67 71 18 21
South Dakota ....: 58 57 58 57 - -
Texas ...........: 392 378 (D) (D) (D) (D)
Utah ............: 84 93 84 93 - -
Virginia ........: 53 58 24 29 29 29
Washington ......: 144 154 (D) (D) (D) (D)
Wisconsin .......: 105 118 (D) (D) (D) (D)
:
Other States 1/ .: 439 450 317 324 122 127
:
United States ...: 7,551 7,619 6,579 6,612 972 1,008
-----------------------------------------------------------------------------------------
- Represents zero.
(D) Withheld to avoid disclosing data for individual operations.
1/ Not published separately to avoid disclosing individual operations.
Molted as Percent of All Layers by Month - United States: 2014-2015
[As of the first of the month. Blank data cells indicate estimation period has not
yet begun]
----------------------------------------------------------------------------------------
: Being molted : Molt completed
Month :---------------------------------------------------------------
: 2014 : 2015 : 2014 : 2015
----------------------------------------------------------------------------------------
: percent
:
January ................: 2.7 2.1 18.2 18.1
February ...............: 2.8 3.3 18.0 17.9
March ..................: 2.4 1.8 18.0 18.7
April ..................: 1.9 17.9
May ....................: 2.8 17.7
June ...................: 3.0 17.2
July ...................: 2.6 18.0
August .................: 3.3 18.0
September ..............: 2.9 18.9
October ................: 3.3 19.3
November ...............: 2.0 19.9
December ...............: 1.3 19.3
----------------------------------------------------------------------------------------
Molted as Percent of All Layers - States and United States: March 1, 2014 and 2015
[As of the first of the month]
----------------------------------------------------------------------------------------
: Being molted : Molt completed
State :---------------------------------------------------------------
: 2014 : 2015 : 2014 : 2015
----------------------------------------------------------------------------------------
: percent
:
Alabama ................: 1.0 0.5 4.5 8.5
Arkansas ...............: 1.0 - 11.0 17.0
California .............: 4.0 3.0 27.0 32.0
Colorado ...............: 1.5 3.0 16.5 16.0
Connecticut ............: 9.0 9.0 8.5 8.5
Florida ................: 4.0 2.5 31.0 47.5
Georgia ................: 1.5 0.5 14.5 20.0
Illinois ...............: - 1.0 15.0 7.0
Indiana ................: 1.0 2.5 24.5 26.0
Iowa ...................: 3.5 2.0 26.0 26.0
:
Maine ..................: - - - -
Maryland ...............: - - 4.0 -
Michigan ...............: 1.0 - 8.0 11.0
Minnesota ..............: 2.0 2.0 17.5 17.5
Mississippi ............: 1.5 0.5 9.0 16.0
Missouri ...............: 3.0 1.0 19.5 18.0
Nebraska ...............: - - 4.0 1.5
New York ...............: 3.0 - 4.0 2.5
North Carolina .........: 2.0 0.5 12.0 16.0
Ohio ...................: 3.0 2.0 23.5 20.5
:
Oregon .................: 3.0 3.0 17.0 14.5
Pennsylvania ...........: 1.5 - 6.5 1.0
South Carolina .........: 1.0 - 10.0 9.5
South Dakota ...........: 10.5 6.5 12.5 7.0
Texas ..................: 1.5 4.5 26.5 28.5
Utah ...................: 5.0 6.0 29.0 28.5
Virginia ...............: 4.0 4.0 10.0 13.5
Washington .............: 2.5 6.0 23.0 23.0
Wisconsin ..............: 6.0 2.0 21.5 34.5
:
Other States 1/ ........: 3.1 1.9 13.0 9.8
:
United States ..........: 2.4 1.8 18.0 18.7
----------------------------------------------------------------------------------------
- Represents zero.
1/ Includes data for States not published in this table.
Hatchery Production - United States: 2014 and 2015
---------------------------------------------------------------------------------------------------------
: : : 2015 as
Item : 2014 : 2015 : percent
: : : of 2014
---------------------------------------------------------------------------------------------------------
: --------- 1,000 -------- percent
:
Egg-type :
Eggs in incubators on March 1 ............................: 39,160 44,458 114
Chicks hatched during February ...........................: 40,323 42,782 106
Chicks hatched January through February ..................: 84,457 86,956 103
:
Pullets hatched during February for intended placements: :
Hatchery supply flocks ..................................: 243 309 127
Cumulative potential placements 7-18 months earlier 1/ ..: 2,710 2,955 109
:
Broiler-type :
Eggs in incubators on March 1 ............................: 628,593 646,930 103
Chicks hatched during February ...........................: 692,647 711,002 103
Chicks hatched January through February ..................: 1,463,540 1,503,178 103
:
Pullets hatched during February for intended placements: :
Hatchery supply flocks ..................................: 7,239 7,921 109
Cumulative potential placements 7-15 months earlier 2/ ..: 60,850 61,999 102
---------------------------------------------------------------------------------------------------------
1/ 2015 includes pullet chicks hatched August 2013 through July 2014.
2/ 2015 includes pullet chicks hatched November 2013 through July 2014.
Egg-Type Eggs in Incubators on the First of the Month - Regions and United States: 2014-2015
[See regional listing on page 19]
--------------------------------------------------------------------------------------------------------------
: February 1 : 2015 as : March 1 : 2015 as
Region :-----------------------------: percent :-----------------------------: percent
: 2014 : 2015 : of 2014 : 2014 : 2015 : of 2014
--------------------------------------------------------------------------------------------------------------
: 1,000 eggs 1,000 eggs percent 1,000 eggs 1,000 eggs percent
:
North Atlantic .....: 3,590 3,812 106 5,296 5,920 112
East North Central .: 8,841 8,791 99 8,787 9,631 110
West North Central .: 10,042 10,884 108 8,557 11,250 131
South Atlantic .....: 4,809 4,484 93 4,031 4,049 100
South Central ......: 5,843 6,283 108 5,808 5,862 101
West ...............: 7,399 6,210 84 6,681 7,746 116
:
United States ......: 40,524 40,464 100 39,160 44,458 114
--------------------------------------------------------------------------------------------------------------
Egg-Type Chicks Hatched by Month - United States: 2014-2015
[Blank data cells indicate estimation period has not yet begun]
-------------------------------------------------------------------------------------------------
: By months : Cumulative
:---------------------------------------------------------------------------------
Month : : : 2015 as : : : 2015 as
: 2014 : 2015 : percent : 2014 : 2015 : percent
: : : of 2014 : : : of 2014
-------------------------------------------------------------------------------------------------
: --- 1,000 chicks -- percent --- 1,000 chicks --- percent
:
January .......: 44,134 44,174 100 44,134 44,174 100
February ......: 40,323 42,782 106 84,457 86,956 103
March .........: 43,818 128,275
April .........: 45,115 173,390
May ...........: 49,003 222,393
June ..........: 43,470 265,863
July ..........: 42,123 307,986
August ........: 39,458 347,444
September .....: 43,309 390,753
October .......: 44,416 435,169
November ......: 36,539 471,708
December ......: 42,980 514,688
-------------------------------------------------------------------------------------------------
Intended Placements of Egg-Type Pullet Chicks for Hatchery Supply Flocks by Month -
United States: 2014-2015
[Blank data cells indicate estimation period has not yet begun]
---------------------------------------------------------------------------------------------------------
: : : Cumulative potential placements
: Pullet chicks hatched : 2015 as : relative to current supply
Month : : percent : flocks 7-18 months earlier 1/
:-----------------------------: of 2014 :-----------------------------------
: 2014 : 2015 : : 2014 : 2015
---------------------------------------------------------------------------------------------------------
: --- 1,000 chicks -- percent ----- 1,000 chicks ----
:
January ................: 270 270 100 2,714 2,947
February ...............: 243 309 127 2,710 2,955
March ..................: 235 2,716 2,863
April ..................: 243 2,780 2,987
May ....................: 224 2,744 3,206
June ...................: 172 2,680 3,178
July ...................: 275 2,866 3,074
August .................: 251 2,786 3,074
September ..............: 394 2,805 3,140
October ................: 369 2,868
November ...............: 150 2,878
December ...............: 248 2,927
:
Total ..................: 3,074
---------------------------------------------------------------------------------------------------------
1/ For February 2015, includes breeder pullet chicks hatched August 2013 through July 2014. The 7-18
months represent the first laying cycle. Molting and additional laying cycles will increase the
cumulative potential placements.
Broiler-Type Eggs in Incubators on the First of the Month - Regions and United States: 2014-2015
[See regional listing on page 19]
--------------------------------------------------------------------------------------------------------------
: February 1 : 2015 as : March 1 : 2015 as
Region :-----------------------------: percent :-----------------------------: percent
: 2014 : 2015 : of 2014 : 2014 : 2015 : of 2014
--------------------------------------------------------------------------------------------------------------
: 1,000 eggs 1,000 eggs percent 1,000 eggs 1,000 eggs percent
:
North Atlantic .....: 13,631 13,756 101 13,168 14,358 109
East North Central .: 13,855 13,794 100 13,895 14,177 102
West North Central .: 30,568 30,018 98 30,873 29,869 97
South Atlantic .....: 242,155 246,543 102 243,145 247,020 102
South Central ......: 305,251 315,985 104 306,094 317,739 104
West ...............: 21,771 22,541 104 21,418 23,767 111
:
United States ......: 627,231 642,637 102 628,593 646,930 103
--------------------------------------------------------------------------------------------------------------
Broiler-Type Chicks Hatched - States and United States: February 2014 and 2015
----------------------------------------------------------------------------------------------------------------
: During February : January-February
:---------------------------------------------------------------------------------
State : : : 2015 as : : : 2015 as
: 2014 : 2015 : percent : 2014 : 2015 : percent
: : : of 2014 : : : of 2014
----------------------------------------------------------------------------------------------------------------
: --- 1,000 chicks --- percent ---- 1,000 chicks ---- percent
:
Alabama ......................: 94,265 97,484 103 198,885 203,374 102
Arkansas .....................: 68,377 72,152 106 146,282 152,167 104
Delaware .....................: 14,788 15,795 107 31,126 32,943 106
Florida ......................: 4,083 3,796 93 8,556 8,333 97
Georgia ......................: 110,377 112,004 101 234,669 238,911 102
Kentucky .....................: 24,829 25,870 104 53,244 54,938 103
Louisiana ....................: 13,100 12,840 98 27,253 27,096 99
Maryland .....................: 25,000 25,462 102 51,677 54,442 105
Mississippi ..................: 58,319 60,037 103 123,941 126,391 102
Missouri .....................: 28,210 27,366 97 59,681 57,887 97
:
North Carolina ...............: 66,615 68,986 104 140,807 145,599 103
Oklahoma .....................: 22,298 21,021 94 47,124 44,303 94
Pennsylvania .................: 14,192 14,276 101 30,138 30,285 100
South Carolina ...............: 15,821 17,021 108 33,706 36,369 108
Texas ........................: 48,466 50,379 104 101,185 105,937 105
Virginia .....................: 21,019 21,659 103 44,842 45,908 102
California, Tennessee, :
and West Virginia ...........: 36,785 38,992 106 75,314 82,351 109
:
19 States 1/ .................: 666,544 685,140 103 1,408,430 1,447,234 103
:
Other States 2/ ..............: 26,103 25,862 99 55,110 55,944 102
:
United States ................: 692,647 711,002 103 1,463,540 1,503,178 103
----------------------------------------------------------------------------------------------------------------
1/ States in the weekly hatchery production estimating program.
2/ Not published separately to avoid disclosing data for individual operations.
Broiler-Type Chicks Hatched by Month - United States: 2014-2015
[Blank data cells indicate estimation period has not yet begun]
-------------------------------------------------------------------------------------------------
: By months : Cumulative
:---------------------------------------------------------------------------------
Month : : : 2015 as : : : 2015 as
: 2014 : 2015 : percent : 2014 : 2015 : percent
: : : of 2014 : : : of 2014
-------------------------------------------------------------------------------------------------
: --- 1,000 chicks --- percent ---- 1,000 chicks ---- percent
:
January .......: 770,893 792,176 103 770,893 792,176 103
February ......: 692,647 711,002 103 1,463,540 1,503,178 103
March .........: 769,818 2,233,358
April .........: 748,669 2,982,027
May ...........: 781,446 3,763,473
June ..........: 762,677 4,526,150
July ..........: 784,571 5,310,721
August ........: 788,385 6,099,106
September .....: 756,086 6,855,192
October .......: 760,593 7,615,785
November ......: 732,972 8,348,757
December ......: 796,060 9,144,817
-------------------------------------------------------------------------------------------------
Intended Placements of Broiler-Type Pullet Chicks for Hatchery Supply Flocks by Month and Total: 2014-2015
[Blank data cells indicate estimation period has not yet begun]
------------------------------------------------------------------------------------------------------------
: : : Cumulative potential placements
: Pullet chicks hatched : 2015 as : relative to current supply
Month : : percent : flocks 7-15 months earlier 1/
:-----------------------------: of 2014 :-----------------------------------
: 2014 : 2015 : : 2014 : 2015
------------------------------------------------------------------------------------------------------------
: ---- 1,000 chicks --- percent ----- 1,000 chicks -----
:
United States placements ..:
January .................: 6,470 6,959 108 60,546 62,018
February ................: 7,239 7,921 109 60,850 61,999
March ...................: 6,790 61,214 62,220
April ...................: 6,710 61,457 62,804
May .....................: 7,600 61,385 63,157
June ....................: 7,094 61,444 63,509
July ....................: 6,212 61,524 63,514
August ..................: 7,436 61,772 63,763
September ...............: 7,253 61,446 64,084
October .................: 6,823 61,225
November ................: 7,591 61,366
December ................: 6,795 61,835
:
Annual total ..............: 84,013
:
Total placements 2/ .......:
January .................: 8,077 8,382 104
February ................: 9,068 9,546 105
March ...................: 8,702
April ...................: 8,122
May .....................: 9,470
June ....................: 9,021
July ....................: 7,916
August ..................: 9,413
September ...............: 9,228
October .................: 8,288
November ................: 9,540
December ................: 8,649
:
Annual total ..............: 105,494
------------------------------------------------------------------------------------------------------------
1/ For February 2015, includes breeder pullet chicks hatched November 2013 through July 2014.
2/ United States production of intended placements worldwide.
Statistical Methodology
Survey Procedures: Primary data for the Chickens and Eggs report are from
weekly and/or monthly questionnaires sent to producers. An attempt is made to
collect information for layer and egg estimates from each known contractor
and independent producer who has at least 30,000 table egg layers, flocks of
hatchery supply layers, or pullet only operations with at least 500 pullets.
Coverage for operations with less than 30,000 table egg layers are estimated
each month based on data reported in December. Approximately 500 contractors,
independent egg producers, and pullet only operations are contacted each
month. Data for broiler hatchery estimates are collected weekly from all
broiler-type hatcheries that hatch at least one million chicks a year. Data
for egg-type hatchery estimates are collected monthly from all egg-type
hatcheries that hatch at least 50,000 chicks a year.
Estimating Procedures: Sound statistical methodology is employed to derive
estimates from the reported data. All data are analyzed for unusual values.
Data from each operation are compared to their own past operating profile and
to trends from similar operations. Data for missing operations are estimated
based on similar operations or historical data. NASS field offices prepare
these estimates by using a combination of survey indications and historic
trends. Individual State estimates are reviewed by the Agricultural
Statistics Board for reasonableness. Individual hatchery data are summed to
State, regional, and United States totals.
For chicken hatcheries, chicks hatched consist of all chicks of domesticated
breeds including males and chicks destined for hatchery supply flocks and
research purposes. Eggs set are eggs in incubators for the purpose of
hatching. The relationship of egg-type chicks hatched to chicken inventory
and poultry marketings are carefully monitored. The disposition of egg-type
chicks hatched prior to placement into the laying flock can vary
significantly, which can make comparisons to changes in layer inventory
inconsistent over time. Broiler chicks placed are specifically for meat
production. Intended placement data reported by leading breeders include
pullet chicks expected from eggs sold the preceding month. The breeders in
this report account for a large percentage of replacement pullets for
hatchery supply flocks. Production of replacement pullets by these breeders
indicates the number of pullets available to hatchery supply layer flocks
several months before the pullets will actually move into the laying flocks.
"Hatchery Supply Flocks" include all generations of layers which could lay
eggs to supply a hatchery. This includes the generations of parents,
grandparents, great-grandparents, pedigree, etc. Also included are research
flocks, vaccine flocks, and specific pathogen-free flocks. The broiler
cumulative potential placements are a moving total of the intended placements
7-15 months earlier. The egg-type cumulative potential placements of 7-18
months earlier represent the first laying cycle. Molting and additional
laying cycles will increase the cumulative potential placements of egg-type
hatching flocks.
Revision Policy: The previous month's estimates are subject to revision if
late reports or corrected data indicates a different level. Additionally,
revisions after the monthly report will be made at the end of the marketing
year and published in the annual reports of Chickens and Eggs Summary and
Hatchery Production Summary. Estimates will also be reviewed for chickens and
eggs after data from the 5-year Census of Agriculture are available. No
revisions will be made after that date.
Reliability: Estimates are based on a census of all known contractors and
independent producers who have at least 30,000 table egg layers, flocks of
hatchery supply layers, pullet only operations with at least 500 pullets, or
operating hatcheries and therefore, have no sampling error. However,
estimates are subject to errors such as omission, duplication, and mistakes
in reporting, recording, and processing the data. While these errors cannot
be measured directly, they are minimized through strict quality controls in
the data collection process and a careful review of all reported data for
consistency and reasonableness.
To assist in evaluating the reliability of the estimates in this report, the
"Root Mean Square Error" is shown for selected items in the following table.
The "Root Mean Square Error" is a statistical measure based on past
performance and is computed using the differences between first and final
estimates. The "Root Mean Square Error" for all layers over the past 24
months is 2.3 percent. This means that chances are 2 out of 3 that the final
estimate will not be above or below the current estimate of 362 million
layers by more than 2.3 percent. Chances are 9 out of 10 that the difference
will not exceed 3.9 percent.
Reliability of Layer and Egg Estimates
[Based on data for the past twenty-four months]
--------------------------------------------------------------------------------------------------------------------------
: Root mean : 90 percent : Difference between first and latest estimate
: square error : confidence : : : : :
: : level :-------------------------------------------------------------
Item : : : : : : Months
: : : : : :-------------------------------
: : : Average :Smallest : Largest : Below latest : Above latest
--------------------------------------------------------------------------------------------------------------------------
: percent percent --------- 1,000 --------- ----- number -----
:
All layers ...................: 2.3 3.9 7,624 37 10,344 23 1
:
: ------- million -------
:
Eggs .........................: 2.4 4.1 183 1 271 23 1
--------------------------------------------------------------------------------------------------------------------------
Egg-Type Regional Listing
North Atlantic: Connecticut, New York, Pennsylvania.
East North Central: Illinois, Indiana, Michigan, Ohio, Wisconsin.
West North Central: Iowa, Kansas, Minnesota, Missouri.
South Atlantic: Florida, Georgia, Virginia.
South Central: Alabama, Mississippi, Texas.
West: California, Idaho, New Mexico, Oregon.
Broiler-Type Regional Listing
North Atlantic: New York, Pennsylvania.
East North Central: Indiana, Ohio, Wisconsin.
West North Central: Iowa, Minnesota, Missouri.
South Atlantic: Delaware, Florida, Georgia, Maryland, North Carolina, South
Carolina, Virginia, West Virginia.
South Central: Alabama, Arkansas, Kentucky, Louisiana, Mississippi,
Oklahoma, Tennessee, Texas.
West: California, Oregon, Washington.
Terms and Definitions of Chickens and Eggs Estimates
All Layers includes both table egg and hatching egg flocks regardless of
size.
Intended Placements are reported by leading breeders. Coverage may not be 100
percent. Includes expected pullet chicks from eggs sold during the preceding
month at the rate of 125 pullet chicks per case of 30 dozen eggs.
Molted Layers is the same data series as the previously published Forced Molt
Layers. Nomenclature changed as of January 2015.
Information Contacts
Listed below are the commodity specialists in the Livestock Branch of the National
Agricultural Statistics Service to contact for additional information. E-mail inquiries
may be sent to [email protected]
Dan Kerestes, Chief, Livestock Branch ..................................... (202) 720-3570
Bruce Boess, Head, Poultry and Specialty Commodities Section .............. (202) 720-4447
Alissa Cowell-Mytar - Cold Storage ..................................... (202) 720-4751
Heidi Gleich - Broiler Hatchery, Chicken Hatchery ...................... (202) 720-0585
Michael Klamm - Poultry Slaughter, Turkey Hatchery, Turkeys Raised ..... (202) 690-3237
Tom Kruchten - Census of Aquaculture ................................... (202) 690-4870
Kim Linonis - Layers, Eggs ............................................. (202) 690-8632
Sammy Neal - Catfish Production, Egg Products, Mink, Trout Production .. (202) 720-3244
Joshua O'Rear - Honey .................................................. (202) 690-3676
Access to NASS Reports
For your convenience, you may access NASS reports and products the following
ways:
All reports are available electronically, at no cost, on the NASS web
site: http://www.nass.usda.gov
Both national and state specific reports are available via a free e-
mail subscription. To set-up this free subscription, visit
http://www.nass.usda.gov and in the "Follow NASS" box under "Receive
reports by Email," click on "National" or "State" to select the reports
you would like to receive.
For more information on NASS surveys and reports, call the NASS Agricultural
Statistics Hotline at (800) 727-9540, 7:30 a.m. to 4:00 p.m. ET, or e-mail:
[email protected].
The U.S. Department of Agriculture (USDA) prohibits discrimination against
its customers, employees, and applicants for employment on the basis of race,
color, national origin, age, disability, sex, gender identity, religion,
reprisal, and where applicable, political beliefs, marital status, familial
or parental status, sexual orientation, or all or part of an individual's
income is derived from any public assistance program, or protected genetic
information in employment or in any program or activity conducted or funded
by the Department. (Not all prohibited bases will apply to all programs
and/or employment activities.)
If you wish to file a Civil Rights program complaint of discrimination,
complete the USDA Program Discrimination Complaint Form (PDF), found online
at http://www.ascr.usda.gov/complaint_filing_cust.html, or at any USDA
office, or call (866) 632-9992 to request the form. You may also write a
letter containing all of the information requested in the form. Send your
completed complaint form or letter to us by mail at U.S. Department of
Agriculture, Director, Office of Adjudication, 1400 Independence Avenue,
S.W., Washington, D.C. 20250-9410, by fax (202) 690-7442 or email at
[email protected].
Simple Country Wedding Actually Miraculous, Most Inspirational Affair
By Frank J. Buchman
The bride-to-be walked down the aisle at her father’s side.
Sounds quite common on the forefront, but actually it’s a “miracle,” most would readily admit.
In a simple, less than 15-minute ceremony, Stephanie Smith became Mrs. Kevin Bachert.
Again not unusual, a maid becomes a bride. Except that nine months ago Stephanie was in a coma, and her family was told she might not live, and would never walk.
When Stephanie Smith fell five stories from a Kansas City balcony in July, she suffered a broken back, broken arms, legs, ribs, collapsed lung, being in a coma for 12-days.
A professional electrician, Stephanie doesn’t know why she fell, possibly because she had climbed the balcony rail for a closer at the “Super Moon.” She was found at 4 a.m., in the hotel parking lot.
No one knows why Stephanie fell, but the reason has little to do what was ahead, and has materialized.
After four months of in-patient therapy at Madonna Rehabilitation Hospital, Stephanie could wiggle a little toe. It’s more than doctors thought she would ever be able to do.
Kevin Bachert, also an electrician, didn’t work during her four months in the hospital, choosing instead to stay with his fiancé for emotional and practical support.
Then, Stephanie returned to the home shared with Bachert in the rural community of Reading in northern Lyon County.
Even with good insurance, the medical bills were astronomical and continued to grow. Stephanie still needed outpatient therapy and at least one more surgery.
Living life from three feet off the ground was a strange adjustment for Stephanie. It was difficult to reach things in the lower kitchen cupboards, and the hallways of her home seemed narrower when she rolled through in her new wheelchair.
Every routine task was one more thing Stephanie had to relearn as a paraplegic. “I’ve accepted that there’s certain realities that kind of stink. I’ll adapt,” Stephanie said.
And, she did with assistance and support from Kevin, her mom and dad Lynn and Steve Smith, brother and sister-in-law Sherman and Jessica Smith, and uncountable friends and new acquaintances across the country, which she became acquainted with through various sources in the past few months.
Stephanie spent time in the hospital learning how to cook with nerve problems that desensitize her to pain. She learned how to do a fall recovery, since getting up on her own was a challenge.
“Nobody knows. Nobody can predict if and how far they can take this. I’ll never walk normally again, but potentially I could go short distances. Two, three years from now, maybe I can reach a cupboard,” Stephanie said, then.
Community and family support made all the difference to Stephanie. She received an anonymous care package filled with beef jerky, gummy bears and “girly things, ” which helped her through physical therapy. Supporters sent cards and well wishes which helped motivate her recovery.
“It made me feel like the luckiest person in the world, even that people could make it so positive,” Stephanie said. “It made me feel good that so many people loved me.”
Her mother, Lynn Smith, found Madonna Rehabilitation Hospital in Lincoln and set up Stephanie’s Facebook page, which brought publicity and financial assistance.
“Stephanie didn’t like to ask for help,” Mom Lynn said. “I don’t like to ask for help either, but I would readily ask for it for my daughter.”
As she recovered, Stephanie relied on neighbors for regular wellness checks, just in case she fell and couldn’t get up or had another emergency.
Co-workers from the International Brotherhood of Electrical Workers raised money to build a ramp to Smith’s front door and built it themselves. Once, a friend came over and offered to clean, which the offer in itself meant a lot to Stephanie.
“Kevin returned to work, and Stephanie learned how to deal with everyday life from a wheel chair. Simple tasks now take hours to complete. Therapy has continued in Emporia, thanks to a team of friends and family who take turns transporting her,” Mom Lynn said.
While Stephanie is classified as a paraplegic, she feels fortunate to have movement in her right leg. Part of her therapy has been learning how to communicate a command to move a limb that has limited feeling, and how to control that movement.
Her left leg is considerably less cooperative, and her left foot required an additional surgery in February of this year.
When they set a date to be married, there was only four weeks to plan, but Stephanie and Kevin wanted a simple ceremony.
The day of the wedding arrived, along with beautiful spring weather. “Everything was perfect, a day to celebrate new beginnings. Friends decorated the Reading Community Building, designed flowers, and took photos to commemorate the day,” Mom credited.
A single-horse drawn fringed-top carriage was appropriately appareled in light blue and turquoise wedding colors as tear-starred, blue-eyed Stephanie in her matching blue wedding dress wheeled herself down her home ramp to be assisted into the antique cushion for the ride with her dad.
Stephanie proudly proclaimed, “I’m getting married today,” as she waved to her neighbors on their front porch.
Less than four blocks to the wedding hall, within short distance of arrival, the bride-to-be cautiously, yet anxiously announced to her dad: “I’m walking down the aisle myself you know. I had to wait until now to tell you, because Mom can’t keep a secret.”
Dad Steve nodded smiling, “I suspected that. I’ll be walking beside you.”
Nearly 50 guests were already at the nearly-new brick Reading Community Building when the bride-to-be and her father arrived. Several guests had driven considerable distance, and Kevin’s folks flew in from Michigan.
Kevin and the best man took their places. In came the bridesmaid, pushing an empty wheelchair. The guests stood to greet the bride and were in awe to find Stephanie walking down the aisle, escorted by her father.
Stephanie stopped several times, but would say: “I can make it.”
She stood tall (all 5-feet-one-inch of her) for the entire, albeit brief, ceremony.
There were times Stephanie seemed to shake a bit from the effort, but she didn’t sit down in her awaiting wheelchair until after: “I now pronounce you husband and wife.”
Mom Lynn insisted, “Stephanie’s strong. She’s strong-willed, which has really helped her through this.”
Stephanie has incredible upper-body strength that helps her “swing like a monkey,” and she continues working hard to get stronger.
“The joke is now I’m the million-dollar baby,” Stephanie said. “We’re hanging in there, but that’s an ongoing issue. I’m looking at thousands of medical bills staring me in the face.
“Everybody has been so strong, so supportive,” Stephanie appreciated. “There’s no way we could do this alone.”
An electrician before her fall, that work involves climbing, which isn’t realistic for her future. But, Stephanie will find another meaningful career.
“I refuse to take no for an answer,” Stephanie said. “I still have the knowledge in my head. I have options to pursue.”
“Stephanie works relentlessly to strengthen her right leg to the point it can work for both legs, and her hard work was visible to everyone in attendance at the wedding,” Mom Lynn said.
It was truly a most emotional time for all of those there.
“I wish I had more pictures of Stephanie coming into the room, but when I realized she was walking…well my eyes filled with tears of joy and I had a hard time focusing the shot. I get choked up every time I think of her walking into the room with her father,” said photographer Brent Jones of Reading.
“Today was a very emotional day for everyone involved. My niece, Stephanie, who fell from a fifth floor balcony and was told she would never walk, walked down the aisle today to marry her love Kevin in a beautiful ceremony. Usually they say there isn’t a dry eye at a wedding, well today that statement was true,” her aunt Jill Dutton, wrote on her Facebook page.
Mary Bachert, Kevin’s mother, exclaimed: “I was amazed at the support of friends and community.”
Steve Smith said, “Kevin, our new son-in-law, stood by Stephanie’s side throughout this ordeal. It was his strength and support that made it possible for Stephanie to walk down the aisle, and we will always be grateful. We are very proud to have Kevin in the family.”
“When Stephanie was in a coma, we were told she might not live and would never walk. But, Stephanie, Kevin, and all of us had hope. Hope and determination are sometimes the best remedy.
“Stephanie will never walk normally again, and probably will only be able to stand briefly. She will not be able to return to her work as an electrician. The newlyweds face a life filled with more hard work, many challenges, and hope. It will be a life they build together that began with a single step,” Lynn Smith said.
“I am proud that Stephanie’s recovery, wedding and future is one of courage, strength, a positive outlook, and an incredible network of support from family and friends,” Lynn appreciated.
During the wedding reception, horse-drawn carriage rides were provided for all of the guests, and the climax came when Stephanie and Kevin boarded for their wedding ride.
Some certain kind of significance, too, as Reading was stricken by a fatal tornado just four years ago and has recovered itself to an alive, immaculate, almost-thriving country town, home to the most miraculous new bride and her most proud husband, the Mr. and Mrs. Kevin Bachert.
Grants Announced to Support Economic Growth for Rural Communities
Kansas State Agricultural Economics Faculty receives $2.5 million with five projects
MANHATTAN, Kan. – Funding from the U.S. Department of Agriculture’s (USDA) National Institute of Food and Agriculture (NIFA) is expected to assist communities and regions in creating self-sustaining, long-term economic development through research and strategic planning.
Nearly $14 million in grants was awarded. Three agricultural economists at Kansas State University and a fourth at Purdue University who will join the K-State department later this year, received more than $2.5 million of those grant dollars to promote rural community development, economic growth and sustainability.
“These awards will allow our department to conduct research that can impact and improve the lives of rural Kansans,” said Allen Featherstone, professor and head of the K-State Department of Agricultural Economics. “The research areas of water management, voting and buying behavior, international trade and global climate variability, and value-based supply chain production on farms have various impacts to our Kansas farmers and rural citizens. We want this research to impact their livelihood and rural communities in a way that makes them sustainable and continuously moving forward.”
The projects for Kansas State, each totaling around $500,000, include:
Aquifer depletion and water management
The project director for this grant is Chatura B. Ariyaratne, research assistant professor. He will study how the reduced availability of irrigation water and rising pumping costs due to groundwater depletion make management decisions more critical for the sustainability of agriculture.
“The economies of large regions such as the Great Plains are dependent on groundwater availability, making aquifer depletion a much-discussed policy and research issue,” Ariyaratne said. “Greater volatility in crop and energy prices has added more uncertainty to farmers’ cropping and irrigation decisions.”
This project focuses on the role of changing prices, technology, and climate on aquifer depletion, and the performance and impacts of different water management policies in the face of these uncertain trends.
Other co-project directors from K-State’s agricultural economics department include, Jeffery Peterson, professor; Nicolas Quintana Ashwell, Ph.D. candidate and graduate research assistant; Nathan Hendricks, assistant; Brian Briggeman associate professor; and Bill Golden, research assistant professor. Bridget Guerrero is a collaborator on the project and is an assistant professor of Agricultural Business and Economics in the Department of Agricultural Sciences at West Texas A&M University.
Voting and buying behavior
According to Glynn Tonsor, agricultural economist with K-State Research and Extension and project director for this award, the U.S. public increasingly sends mixed signals in their voting and buying behaviors resulting in ‘unfunded mandates’ that significantly add complexity to society’s challenges of feeding a growing population.
“The consumers’ mixed signals are providing a knowledge gap among our industry leaders and decision-makers,” Tonsor said. “This limits informed decision-making when it comes to key decisions in the agricultural industry that make a difference in how we are feeding our growing population.”
The long-term goal of this project is to substantially increase understanding of the existence, drivers, and implications of differences in voting behavior and consumer food buying behavior.
Co-project directors for this award are Kathleen Brooks, livestock economist and extension specialist at the University of Nebraska-Lincoln; and Bailey Norwood, professor, Oklahoma State University Department of Agricultural Economics.
Understanding and forecasting changes in consumer demand for disaggregated meat products
According to Tonsor, co-project director for this award, there is an increasing need to better understand changing consumer preferences for meat products. To date, most consumer research either uses very aggregated, nationally representative data or involves surveys at a single point in time that convey a “snap shot.” This research will further develop and build upon existing consumer tracking surveys.
Tonsor will work with collaborators at Oklahoma State University to assess how stable consumer preferences are when assessed in regular nationwide monthly surveys and compared to other more commonly available data and information sets. This research ultimately will provide more accurate and timelier information on key issues regarding consumer food preference and lead to better decisions among producers and policy makers.
Jayson Lusk, Regents professor and Willard Sparks endowed chair for Oklahoma State’s agricultural economics department, is the project director for this award.
The role of international trade in adapting U.S. agriculture to increased global climate variability
Nelson B. Villoria, an agricultural economist at Purdue University who will join the K-State faculty later this year, was awarded monies to study how more frequent extreme weather events are expected to increase the volatility of U.S. crop yields and the income stability of agricultural sectors.
“Global trade is an important source for stabilizing markets. Our study hypothesizes that climate shocks simultaneously affecting the U.S. and other global regions during a given marketing year reduce the ability of the trade system to mitigate shortages resulting in sudden sharp price changes,” he said. “Our study seeks to understand how stockholding and international trade can help adapt U.S. agriculture to a changing climate, particularly to disruptions associated with increased variability.”
Co-project directors for this award are from Purdue University. They include Thomas Hertel, distinguished professor of agricultural economics; Dev Niyogi, professor of regional climatology; Paul Preckel, professor of agricultural economics; and Hao Zhang, professor of statistics.
Impacts of values-based supply chains on farms
Hikaru Hanawa Peterson, project director of this grant and K-State agricultural economics professor, will study the impacts of values-based supply chains (VBSCs) on small- to medium-sized farms.
“These supply chain alliances are distinguished by two sets of values: one based on product attributes and the other based on shared ethics among participants in the chain,” Peterson said. “While there is a growing understanding of the organizational dimensions of VBSCs, very little has been documented to date about their extent or characteristics and the actual impacts for farmers.”
Researchers will work to better understand, evaluate, and improve the performance of VBSCs as profitable outlets for diverse, small and medium-sized farms. “The project outcomes include new opportunities for farms and VBSCs to build farm profitability, expand access to healthy foods for communities, and contribute to the development of more environmentally sustainable and equitable regional agrifood systems,” Peterson said.
Co-project directors for this grant include Gail Feenstra, academic coordinator with the University of California-Davis’ Agricultural Sustainability Institute; Marcy Ostrom, small farms program leader with the Washington State University Center for Sustaining Agriculture and Natural Resources; and Keiko Tanaka, associate professor of sociology at the University of Kentucky.
NIFA made the awards through the Agriculture and Food Research Initiative’s (AFRI) Foundational Program, which supports projects that sustain and enhance agricultural and related activities in rural areas and to protect the environment, enhance quality of life, and alleviate poverty. For more information, visit the National Institute of Food and Agriculture.
A fact sheet with a complete list of awardees and project descriptions is available on the USDA website.
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