2018 WASHINGTON ANNUAL STATISTICAL BULLETIN Compiled by United States Department of Agriculture National Agricultural Statistics Service Northwest Regional Field Office Chris Mertz - Director Dennis Koong- Deputy Director Steve Anderson – Deputy Director P. O. Box 609 Olympia, Washington 98507 Phone: (360) 890-3300 Fax: 1-855-270-2721 e-mail: [email protected]OFFICE STAFF Estimates Alaska Surveys Wendy Vance Sue Benz Kelly Huston Ann Clemon Eric Stebbins Mark Deonier Idaho Angelica Espino Kim Dunn Randy Welk Mark Cerise Khali Glenn Bill Sigrist Alan Funk Brian Kugel Glen Goodrich Scott Peterson Oregon Christina Harlow Mali Viste Dave Losh Zoe Johnson Gene Pierce Jennifer Reichert U. S. Department of Agriculture National Agricultural Statistics Service Hubert Hamer, Administrator
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2018 WASHINGTON ANNUAL STATISTICAL BULLETIN...2018 Washington Annual Statistical Bulletin (October 2018) 3 USDA, National Agricultural Statistics Service - Northwest Regional Office
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California California California Michigan Michigan California
Michigan California
Washington California
Wisconsin California
California California
North Dakota Iowa Iowa
Texas Texas
1 As of January 1, 2018.
2018 Washington Annual Statistical Bulletin (October 2018) 3 USDA, National Agricultural Statistics Service - Northwest Regional Office
Record Highs and Lows for Field and Vegetable Crops through 2017 Crop Year — Washington [The most recent two years are provided for items which were tied in multiple years.]
Crop and unit Year
estimate began
Acreage Yield Production
Harvested Year Yield Year Total Year
(acres) (unit) (1,000 units)
Field crops Wheat, all ........................... (bushels) High .............................................. Low ............................................... Barley ................................ (bushels) High .............................................. Low ............................................... Oats ................................... (bushels) High .............................................. Low ............................................... Corn, grain ......................... (bushels) High .............................................. Low ............................................... Corn, silage .............................. (tons) High .............................................. Low ............................................... Dry edible beans ....................... (cwt) High .............................................. Low ............................................... Dry edible peas ......................... (cwt) High .............................................. Low ............................................... Lentils ....................................... (cwt) High .............................................. Low ............................................... Potatoes ................................... (cwt) High .............................................. Low ............................................... Hops ................................... (pounds) High .............................................. Low ............................................... Hay, all ..................................... (tons) High .............................................. Low ............................................... Peppermint ......................... (pounds) High .............................................. Low ............................................... Spearmint ......................................... High .............................................. Low ............................................... Vegetable crops Asparagus ................................. (cwt) High .............................................. Low ............................................... Carrots, processing .................. (tons) High .............................................. Low ............................................... Green peas, processing ........... (tons) High .............................................. Low ............................................... Onions, storage ......................... (cwt) High .............................................. Low ............................................... Onions, non-storage .................. (cwt) High .............................................. Low ............................................... Sweet corn, fresh market ........... (cwt) High .............................................. Low ............................................... Sweet corn, processing ............ (tons) High .............................................. Low ...............................................
1879
1882
1882
1882
1919
1929
1929
1959
1882
1915
1882
1929
1959
1923
1929
1928
1918
1918
1949
1934
3,200,000 82,000
1,180,000
24,000
270,000 2,000
160,000
4,000
105,000 7,000
190,000
1,000
390,000 42,000
163,000 24,000
175,000
8,000
38,438,000 1,890
1,046,000
125,000
32,000 400
26,400 5,000
32,000 450
7,300
500
90,100 1,440
23,500
390
3,100 360
25,300 1,700
98,600
250
1976 1879
1985 1882
1909 2009
1982 1882
2014
1946, 1947
2017 1930, 1937
1943 1929
1980 1959
2000 1882
2017 1923
1934 1882
1995 1934
1978 1964
1988, 1989 1923
1995 1929
1968 1928
2012 1919
2012 1918
2015 1975
2000 1934
71.5 12.5
77.0 13.0
88.0 33.5
225.0 15.0
28.0 6.9
22.4 2.4
25.5 4.6
16.0 2.3
660.0 61.0
2,533.0 1,340.0
4.5 1.4
120.0 25.0
155.0 69.0
62.0 14.0
35.5 7.5
3.4 0.6
690.0 151.0
450.0 171.0
188.0 47.0
10.8 2.1
2016 1918
2016 1918
2004 1918
2011 1898
1997, 2014
1919
1997 1929
1980 1977
2001 1977
2010 1883
2009 1919
2003 1886
2007, 2008
1932
2011 1965
2016 1924
2011 1929
2011 1931
2015 1924
2013 1921
2009 1949
2011 1936
182,670.0 1,660.0
63,700.0
672.0
13,230.0 160.0
28,125.0
86.0
2,940.0 70.0
2,834.0
8.0
5,655.0 330.0
1,630.0
180.0
10,562.5 551.0
78,693.6 2,680.0
3,603.0
188.0
3,007.0 13.0
2,402.0
350.0
1,024.0 7.0
203.0
3.8
146.0 1.4
13,865.0
82.0
1,147.0 72.0
3,441.0
142.0
900.5 0.5
1996 1880
1984 1882
1909 2009
2011 1882
2014 1920
2017 1930
1943 1929
1980 1959
2016 1883
2017 1919
2003 1882
1996 1932
1978 1964
1989 1924
1999 1929
1967 1928
2012 1921
2012 1936
2015 1961
2003 1934
4 2018 Washington Annual Statistical Bulletin (October 2018) USDA, National Agricultural Statistics Service - Northwest Regional Office
Record Highs and Lows for Fruit Crops — Washington [The most recent two years are provided for items which were tied in multiple years.]
Record Highs and Lows for Berry Crops — Washington
Crop and unit Year
estimate began
Acreage Yield Production
Harvested Year Yield Year Total Year
(acres) (unit) (1,000 units)
Blueberries .................................. (pounds) High ...................................................... Low ....................................................... Cranberries .................................. (barrels) High ...................................................... Low ....................................................... Red raspberries ........................... (pounds) High ...................................................... Low ....................................................... Strawberries ................................ (pounds) High ...................................................... Low .......................................................
1950
1924
1942
1918
13,700
250
1,700 700
9,900
700
9,000 1,100
2017 1950
2013 1951
2013 1956
1932 2013
10,300.0 2,400.0
162.0 37.5
8,900.0 1,400.0
10,000.0 1,620.0
2014 1955
1968 1952
1995 1956
2001 1930
120,000.0
700.0
202.0 3.5
79,800.0
980.0
61,680.0 6,588.0
2016 1950
1994 1930
2016 1956
1965 1918
2018 Washington Annual Statistical Bulletin (October 2018) 5 USDA, National Agricultural Statistics Service - Northwest Regional Office
Record Highs and Lows for Livestock and Livestock Products — Washington [Reference date is January 1 for all livestock inventory items except hogs. Hog inventory reference date is December 1.]
Livestock item and unit
Year estimate began
Inventory or Production
Total Year
Cattle and calves, all ............................................................. (1,000 head) High ..................................................................................................... Low ...................................................................................................... Milk cows .............................................................................. (1,000 head) High ..................................................................................................... Low ...................................................................................................... Cattle and calves, on feed ..................................................... (1,000 head) High ..................................................................................................... Low ...................................................................................................... Sheep and lambs .................................................................. (1,000 head) High ..................................................................................................... Low ...................................................................................................... Hogs ..................................................................................... (1,000 head) High ..................................................................................................... Low ...................................................................................................... Chickens ............................................................................... (1,000 head) High ..................................................................................................... Low ...................................................................................................... Milk .................................................................................. (million pounds) High ..................................................................................................... Low ...................................................................................................... Eggs .................................................................................... (million eggs) High ..................................................................................................... Low ...................................................................................................... Bees, colonies .................................................................(1,000 colonies) High ..................................................................................................... Low ......................................................................................................
1867
1867
1930
1867
1924
1924
1924
1924
1913
1,579
81
380 5
255 6
815 45
434 10
8,250 4,782
6,650 1,540
2,104
626
100 46
1980 1867
1945 1867
2001 1935
1902 2018
1943 1866
1931 1953
2016 1924
2017 1924
1959 2007
6 2018 Washington Annual Statistical Bulletin (October 2018) USDA, National Agricultural Statistics Service - Northwest Regional Office
Number of Farms, Land in Farms, and Average Farm Size — Washington and United States: 2008-2017
(NA) Not available. 1 Starting in 2013 two new sales classes were published. The previous sales class of $500,000 or more was divided into $500,000 - $999,999 and
$1,000,000 or more in sales.
Land in Farms by Economic Sales Class — Washington: 2008-2017
(NA) Not available. 1 Starting in 2013 two new sales classes were published. The previous sales class of $500,000 or more was divided into $500,000 - $999,999 and
$1,000,000 or more in sales.
2018 Washington Annual Statistical Bulletin (October 2018) 7 USDA, National Agricultural Statistics Service - Northwest Regional Office
Average Farm Size by Economic Sales Class — Washington: 2008-2017
(NA) Not available. 1 Starting in 2013 two new sales classes were published. The previous sales class of $500,000 or more was divided into $500,000 - $999,999 and
$1,000,000 or more in sales.
8 2018 Washington Annual Statistical Bulletin (October 2018) USDA, National Agricultural Statistics Service - Northwest Regional Office
Number of Workers and Hours Worked — Region and United States: 2016-2018 [Excludes agricultural service workers and Alaska]
Date and region 1
Hired
Number of
workers
Expected to be employed Number of hours worked
150 days or more
149 days or less
(number) (number) (number) (hours per week)
2016 January Pacific ............................................... California ........................................... United States ..................................... April Pacific ............................................... California ........................................... United States ..................................... July Pacific ............................................... California ........................................... United States ..................................... October Pacific ............................................... California ........................................... United States ..................................... 2017 January Pacific ............................................... California ........................................... United States ..................................... April Pacific ............................................... California ........................................... United States ..................................... July Pacific ............................................... California ........................................... United States ..................................... October Pacific ............................................... California ........................................... United States ..................................... 2018 January Pacific ............................................... California ........................................... United States ..................................... April Pacific ............................................... California ........................................... United States ..................................... July Pacific ............................................... California ........................................... United States ..................................... October Pacific ............................................... California ........................................... United States .....................................
48,000 132,000 582,000
59,000
153,000 703,000
100,000 180,000 840,000
68,000
165,000 798,000
35,000 125,000 533,000
53,000
146,000 673,000
118,000 178,000 879,000
93,000
166,000 840,000
37,000 129,000 534,000
53,000
140,000 648,000
(NA) (NA) (NA)
(NA) (NA) (NA)
41,000 114,000 494,000
44,000
128,000 558,000
52,000
152,000 606,000
46,000
136,000 578,000
31,000 110,000 450,000
39,000
124,000 536,000
64,000
150,000 631,000
54,000
138,000 618,000
30,000 113,000 449,000
41,000
123,000 517,000
(NA) (NA) (NA)
(NA) (NA) (NA)
7,000 18,000 88,000
15,000 25,000
145,000
48,000 28,000
234,000
22,000 29,000
220,000
4,000 15,000 83,000
14,000 22,000
137,000
54,000 28,000
248,000
39,000 28,000
222,000
7,000 16,000 85,000
12,000 17,000
131,000
(NA) (NA) (NA)
(NA) (NA) (NA)
37.0 41.4 38.8
42.1 43.6 40.4
42.1 43.7 41.2
41.3 44.2 41.6
37.0 39.2 38.0
41.4 43.3 40.4
43.6 44.1 41.4
43.2 43.8 41.6
38.2 37.9 38.0
41.3 42.3 40.2
(NA) (NA) (NA)
(NA) (NA) (NA)
(NA) Not available. 1 Pacific Region includes Oregon and Washington.
2018 Washington Annual Statistical Bulletin (October 2018) 9 USDA, National Agricultural Statistics Service - Northwest Regional Office
Wage rates by Type of Worker — Region and United States: 2016-2018 [Excludes agricultural service workers and Alaska]
Date and region 1
Type of worker Wage rate for
all hired workers Field Livestock Field and livestock
combined
(dollars per hour) (dollars per hour) (dollars per hour) (dollars per hour)
2016 January Pacific ................................................ California ............................................ United States ..................................... April Pacific ................................................ California ............................................ United States ..................................... July Pacific ................................................ California ............................................ United States ..................................... October Pacific ................................................ California ............................................ United States ..................................... 2017 January Pacific ................................................ California ............................................ United States ..................................... April Pacific ................................................ California ............................................ United States ..................................... July Pacific ................................................ California ............................................ United States ..................................... October Pacific ................................................ California ............................................ United States ..................................... 2018 January Pacific ................................................ California ............................................ United States ..................................... April Pacific ................................................ California ............................................ United States ..................................... July Pacific ................................................ California ............................................ United States ..................................... October Pacific ................................................ California ............................................ United States .....................................
12.26 12.05 11.84
12.30 12.35 12.00
13.71 12.60 12.32
14.48 12.65 12.59
12.69 12.45 12.15
12.87 12.80 12.22
14.39 13.25 12.57
14.76 13.25 12.83
14.06 13.55 12.84
14.16 13.45 12.72
(NA) (NA) (NA)
(NA) (NA) (NA)
13.09 12.65 12.02
12.90 12.85 12.01
13.58 13.55 12.15
14.20 13.50 12.25
14.69 13.95 12.66
14.37 13.55 12.53
13.83 14.20 12.21
14.13 14.10 12.22
14.23 14.40 12.89
14.10 14.15 12.78
(NA) (NA) (NA)
(NA) (NA) (NA)
12.35 12.16 11.91
12.35 12.43 12.00
13.70 12.76 12.27
14.45 12.79 12.50
13.05 12.82 12.35
13.05 12.96 12.32
14.35 13.39 12.47
14.70 13.37 12.66
14.10 13.73 12.86
14.15 13.58 12.74
(NA) (NA) (NA)
(NA) (NA) (NA)
13.22 13.65 12.83
12.92 13.61 12.75
14.07 13.95 13.02
14.94 13.95 13.25
14.36 14.32 13.43
13.89 14.29 13.23
14.69 14.58 13.23
15.08 14.59 13.42
15.31 15.61 14.08
14.97 15.10 13.72
(NA) (NA) (NA)
(NA) (NA) (NA)
(NA) Not available. 1 Pacific Region includes Oregon and Washington.
10 2018 Washington Annual Statistical Bulletin (October 2018) USDA, National Agricultural Statistics Service - Northwest Regional Office
Prices Received for Small Grain Crops — Washington: Monthly and Marketing Year Average, 2009-2018
Crop and year
Jan. Feb. Mar. Apr. May Jun. Jul. Aug. Sep. Oct. Nov. Dec.
12 2018 Washington Annual Statistical Bulletin (October 2018) USDA, National Agricultural Statistics Service - Northwest Regional Office
Prices Received for Potatoes — Washington: Monthly and Marketing Year Average, 2009-2017 [Beginning with the August 2017 monthly prices received report, state level potato prices were discontinued.]
Year Jan. Feb. Mar. Apr. May Jun. Jul. Aug. Sep. Oct. Nov. Dec. Marketing
(S) 21.50 19.00 18.50 21.00 24.00 41.00 16.70 14.50
20.00 11.50 18.50 31.00 11.50 17.00 15.00 21.00
20.30 23.00 19.80 20.20
(S) 19.50 18.00 18.50 24.50 24.00 39.00 15.50 16.00
19.00 11.50 19.50 35.00 11.50 18.50 16.00 22.00
20.60 23.40 19.80 20.70
(S) Insufficient number of reports to establish an estimate. 1 The average rates are based on survey indications of monthly lease rates for private, non-irrigated grazing land from the January Cattle Survey. 2 Animal unit (AUM) rate includes survey rates for both animal unit and cow-calf. The rate is converted to an AUM rate using a multiplier factor of 0.833. The
multiplier factor is the conversion of a 1,200 pound cow to a 1,000 pound cow. 3 17 Western States: Arizona, California, Colorado, Idaho, Kansas, Montana, Nebraska, Nevada, New Mexico, North Dakota, Oklahoma, Oregon, South
Dakota, Texas, Utah, Washington, and Wyoming. 4 16 Western States: Arizona, California, Colorado, Idaho, Kansas, Montana, Nebraska, Nevada, New Mexico, North Dakota, Oklahoma, Oregon, South
Dakota, Utah, Washington, and Wyoming. 5 11 Western States: Arizona, California, Colorado, Idaho, Montana, Nevada, New Mexico, Oregon, Utah, Washington, and Wyoming. 6 9 Great Plains States: Colorado, Kansas, Nebraska, New Mexico, North Dakota, Oklahoma, South Dakota, Texas, and Wyoming.
2018 Washington Annual Statistical Bulletin (October 2018) 17 USDA, National Agricultural Statistics Service - Northwest Regional Office
Average Land Values per Acre — Pacific Northwest and United States: 2014-2018 Category and
location 2014 2015 2016 2017 2018
Change 2017-2018
(dollars per acre) (dollars per acre) (dollars per acre) (dollars per acre) (dollars per acre) (percent)
Farm Real Estate 1 California................................................. Idaho ...................................................... Oregon .................................................... Washington ............................................. United States .......................................... Cropland California, all cropland ............................. Irrigated ............................................... Non-irrigated ....................................... Idaho, all cropland ................................... Irrigated ............................................... Non-irrigated ....................................... Oregon, all cropland ................................ Irrigated ............................................... Non-irrigated ....................................... Washington, all cropland ......................... Irrigated ............................................... Non-irrigated ....................................... United States, all cropland ....................... Pasture California................................................. Idaho ...................................................... Oregon .................................................... Washington ............................................. United States 2 .......................................
- Represents zero. 1 The value at which all land and buildings used for agricultural production, including dwellings, could be sold under current market conditions. 2 Excludes Alaska and Hawaii.
18 2018 Washington Annual Statistical Bulletin (October 2018) USDA, National Agricultural Statistics Service - Northwest Regional Office
Precipitation: Monthly Total with Annual Departures from Normal, Selected Weather Stations, Washington, 2017
Weather station Monthly precipitation (inches) Annual (inches)
Jan. Feb. Mar. Apr. May Jun. Jul. Aug. Sep. Oct. Nov. Dec. Total DFN1
March 1, 2008 .................. June 1, 2008 .................... September 1, 2008 ........... December 1, 2008 ............ March 1, 2009 .................. June 1, 2009 .................... September 1, 2009 ........... December 1, 2009 ............ March 1, 2010 .................. June 1, 2010 .................... September 1, 2010 ........... December 1, 2010 ............ March 1, 2011 .................. June 1, 2011 .................... September 1, 2011 ........... December 1, 2011 ............ March 1, 2012 .................. June 1, 2012 .................... September 1, 2012 ........... December 1, 2012 ............ March 1, 2013 .................. June 1, 2013 .................... September 1, 2013 ........... December 1, 2013 ............ March 1, 2014 .................. June 1, 2014 .................... September 1, 2014 ........... December 1, 2014 ............ March 1, 2015 .................. June 1, 2015 .................... September 1, 2015 ........... December 1, 2015 ............ March 1, 2016 .................. June 1, 2016 .................... September 1, 2016 ........... December 1, 2016 ............ March 1, 2017 .................. June 1, 2017 .................... September 1, 2017 ........... December 1, 2017 ............
2,300 650
21,000 12,000
6,700 1,600
18,000 9,500
5,000 1,900
23,000 11,000
5,600 2,300
26,500 14,000
6,700 1,600
14,000 8,000
4,300 2,150
16,500 8,800
4,200
550 14,000 7,300
2,400 1,400
12,500 6,500
4,500 1,500
16,000 12,500
8,800 4,000
11,000 8,400
43,370 22,551 91,430 82,242
58,965 32,130
115,696 91,967
70,263 43,100
123,790 98,266
81,326 44,793
136,070 121,213
81,722 36,615
123,749 97,128
66,980 30,940
125,378 100,522
64,648 30,672
104,147 81,879
56,158 37,227
113,118 93,142
75,457 43,092
143,921 117,629
94,960 60,973
140,577 118,998
45,670 23,201
112,430 94,242
65,665 33,730
133,696 101,467
75,263 45,000
146,790 109,266
86,926 47,093
162,570 135,213
88,422 38,215
137,749 105,128
71,280 33,090
141,878 109,322
68,848 31,222
118,147 89,179
58,558 38,627
125,618 99,642
79,957 44,592
159,921 130,129
103,760 64,973
151,577 127,398
91,990 25,635
635,700 454,000
280,400 140,745 836,000 558,800
348,250 209,900 812,100 550,000
288,010 130,915 633,000 405,200
217,100 112,030 572,900 399,500
236,970 120,150 555,000 398,400
237,530 96,995
713,450 472,800
278,710 155,170 650,200 503,450
319,800 197,210 728,200 571,280
349,500 191,755 491,800 394,080
617,280 280,183
1,222,183 968,089
759,664 515,760
1,373,338 1,222,891
1,008,107
765,737 1,637,517 1,382,946
1,137,292
732,083 1,513,669 1,257,318
982,245 630,590
1,542,209 1,271,079
997,860 597,739
1,314,637 1,076,451
819,435 493,288
1,193,770 1,056,830
861,697 597,224
1,446,889 1,242,457
1,051,862
778,393 1,816,830 1,508,080
1,309,175
988,847 1,774,275 1,479,335
709,270 305,818
1,857,883 1,422,089
1,040,064
656,505 2,209,338 1,781,691
1,356,357
975,637 2,449,617 1,932,946
1,425,302
862,998 2,146,669 1,662,518
1,199,345
742,620 2,115,109 1,670,579
1,234,830
717,889 1,869,637 1,474,851
1,056,965
590,283 1,907,220 1,529,630
1,140,407
752,394 2,097,089 1,745,907
1,371,662
975,603 2,545,030 2,079,360
1,658,675 1,180,602 2,266,075 1,873,415
1 Includes stocks at mills, elevators, terminals, and processors.
2018 Washington Annual Statistical Bulletin (October 2018) 21 USDA, National Agricultural Statistics Service - Northwest Regional Office
Winter Wheat Area Planted and Harvested, Yield, and Production, by County — Washington: 2016-2017
Western .................................. Clallam ................................ Clark ................................... Cowlitz ................................ Grays Harbor ...................... Island .................................. Jefferson ............................. King .................................... Kitsap.................................. Lewis .................................. Mason ................................. Pacific ................................. Pierce ................................. San Juan ............................ Skagit.................................. Skamania ............................ Snohomish .......................... Thurston ............................. Wahkiakum ......................... Whatcom............................. Other counties ..................... Central .................................... Benton ................................ Chelan ................................ Kittitas ................................. Klickitat ............................... Okanogan ........................... Yakima ................................ Other counties ..................... Northeast ................................ Ferry ................................... Pend Oreille ........................ Spokane ............................. Stevens ............................... Other counties ..................... East Central ............................ Adams ................................ Douglas .............................. Franklin ............................... Grant .................................. Lincoln ................................ Other counties ..................... Southeast ............................... Asotin.................................. Columbia............................. Garfield ............................... Walla Walla ......................... Whitman ............................. Other counties ..................... Other districts .......................... Washington .............................
- Represents zero. (D) Withheld to avoid disclosing data for individual operations. 1 Combined districts or counties contain counties with minimal data or counties combined to avoid disclosure of individual operations.
22 2018 Washington Annual Statistical Bulletin (October 2018) USDA, National Agricultural Statistics Service - Northwest Regional Office
Spring Wheat Area Planted and Harvested, Yield, and Production, by County — Washington: 2016-2017
- Represents zero. (D) Withheld to avoid disclosing data for individual operations. 1 Combined districts or counties contain counties with minimal data or counties combined to avoid disclosure of individual operations.
2018 Washington Annual Statistical Bulletin (October 2018) 23 USDA, National Agricultural Statistics Service - Northwest Regional Office
Barley Area Planted and Harvested, Yield, Production, Price, and Value — Washington: 2008-2017
- Represents zero. (D) Withheld to avoid disclosing data for individual operations. 1 Combined districts or counties contain counties with minimal data or counties combined to avoid disclosure of individual operations.
2018 Washington Annual Statistical Bulletin (October 2018) 25 USDA, National Agricultural Statistics Service - Northwest Regional Office
Barley Stocks by Position and Month — Washington and United States: 2008-2017
Date Washington United States
On farms Off farms 1 Total all positions On farms Off farms 1 Total all positions
March 1, 2008 .................. June 1, 2008 .................... September 1, 2008 .......... December 1, 2008 ........... March 1, 2009 .................. June 1, 2009 .................... September 1, 2009 .......... December 1, 2009 ........... March 1, 2010 .................. June 1, 2010 .................... September 1, 2010 .......... December 1, 2010 ........... March 1, 2011 .................. June 1, 2011 .................... September 1, 2011 .......... December 1, 2011 ........... March 1, 2012 .................. June 1, 2012 .................... September 1, 2012 .......... December 1, 2012 ........... March 1, 2013 .................. June 1, 2013 .................... September 1, 2013 .......... December 1, 2013 ........... March 1, 2014 .................. June 1, 2014 .................... September 1, 2014 .......... December 1, 2014 ........... March 1, 2015 .................. June 1, 2015 .................... September 1, 2015 .......... December 1, 2015 ........... March 1, 2016 .................. June 1, 2016 .................... September 1, 2016 .......... December 1, 2016 ........... March 1, 2017 .................. June 1, 2017 .................... September 1, 2017 .......... December 1, 2017 ...........
630 40
2,100 1,600
1,200 1,150 1,900 1,000
450 400
1,700 1,100
580 230
3,100 1,000
450 220
1,900 900
730 160
2,000 1,300
780 550
1,600 1,200
450 360 800 650
550 280
2,500 980
890 260
1,600 860
3,932 1,832 6,389 6,563
5,088 3,057 5,841 4,032
3,030 2,628 4,449 3,801
2,881 1,892 4,039 5,839
3,137 1,843 7,506 7,204
4,349 2,136 8,895 9,091
5,374 2,105 4,603 3,774
2,510 1,634 4,672 4,299
2,573 1,679 5,081 5,019
3,341 2,250 3,640 3,575
4,562 1,872 8,489 8,163
6,288 4,207 7,741 5,032
3,480 3,028 6,149 4,901
3,461 2,122 7,139 6,839
3,587 2,063 9,406 8,104
5,079 2,296
10,895 10,391
6,154 2,655 6,203 4,974
2,960 1,994 5,472 4,949
3,123 1,959 7,581 5,999
4,231 2,510 5,240 4,435
28,270 9,950
127,750 77,050
44,310 27,010
154,050 114,630
67,370 40,440
125,070 91,660
57,700 26,040 93,050 55,320
26,480 9,670
112,550 72,580
35,180 15,840
105,620 81,340
43,830 19,110 97,820 74,510
41,990 20,940
135,840 96,670
57,910 27,740
130,600 99,100
56,490 27,050 90,400 74,340
82,154 58,273 81,669 95,766
84,791 61,723 85,414 91,759
89,985 75,059 98,818 88,720
80,424 63,311 82,007 82,999
67,248 50,317 85,226 85,473
81,897 64,557 90,470 88,063
77,734 63,145 81,997 81,625
76,247 57,639 83,132 83,738
79,832 74,370 99,737 93,429
88,211 79,314 89,283 84,528
110,424 68,223
209,419 172,816
129,101 88,733
239,464 206,389
157,355 115,499 223,888 180,380
138,124 89,351
175,057 138,319
93,728 59,987
197,776 158,053
117,077 80,397
196,090 169,403
121,564 82,255
179,817 156,135
118,237 78,579
218,972 180,408
137,742 102,110 230,337 192,529
144,701 106,364 179,683 158,868
1 Includes stocks at mills, elevators, terminals, and processors.
26 2018 Washington Annual Statistical Bulletin (October 2018) USDA, National Agricultural Statistics Service - Northwest Regional Office
Oat Area Planted and Harvested, Yield, Production, Price, and Value — Washington: 2008-2017
March 1, 2008 .................. June 1, 2008 .................... September 1, 2008 .......... December 1, 2008 ........... March 1, 2009 .................. June 1, 2009 .................... September 1, 2009 .......... December 1, 2009 ........... March 1, 2010 .................. June 1, 2010 .................... September 1, 2010 .......... December 1, 2010 ........... March 1, 2011 .................. June 1, 2011 .................... September 1, 2011 .......... December 1, 2011 ........... March 1, 2012 .................. June 1, 2012 .................... September 1, 2012 .......... December 1, 2012 ........... March 1, 2013 .................. June 1, 2013 .................... September 1, 2013 .......... December 1, 2013 ........... March 1, 2014 .................. June 1, 2014 .................... September 1, 2014 .......... December 1, 2014 ........... March 1, 2015 .................. June 1, 2015 .................... September 1, 2015 .......... December 1, 2015 ........... March 1, 2016 .................. June 1, 2016 .................... September 1, 2016 .......... December 1, 2016 ........... March 1, 2017 .................. June 1, 2017 .................... September 1, 2017 .......... December 1, 2017 ...........
(D) (D) (D) (D)
(D) (D) (D) (D)
(D) (D) (D) (D)
(D) (D) (D) (D)
(D) (D) (D) (D)
(D) (D) (D) (D)
(D) (D) (D) (D)
(D) (D) (D) (D)
(D) (D) (D) (D)
(D) (D) (D) (D)
71 67 82 78
44 40 80 45
26 17 56 90
87 77 52 57
53 37 89
110
62 23 68 (D)
45 31 53 45
40 91 56 54
58 47 82 85
78 67 56 55
(D) (D) (D) (D)
(D) (D) (D) (D)
(D) (D) (D) (D)
(D) (D) (D) (D)
(D) (D) (D) (D)
(D) (D) (D) (D)
(D) (D) (D) (D)
(D) (D) (D) (D)
(D) (D) (D) (D)
(D) (D) (D) (D)
31,000 16,100 52,800 42,600
30,200 17,480 54,500 43,000
30,900 17,600 45,850 34,100
26,950 14,580 30,300 24,600
19,550 11,070 34,100 26,100
18,900 11,380 37,150 25,650
19,800 9,710
41,400 31,300
20,810 15,120 47,800 36,750
26,800 18,350 37,400 30,430
22,320 13,540 33,950 23,300
47,988 50,674 66,296 72,322
65,250 66,619 73,875 67,629
67,091 62,716 70,722 66,911
59,361 53,049 47,391 54,244
55,044 43,869 50,872 47,051
33,726 24,957 26,339 22,394
15,323 15,029 32,910 35,670
38,609 38,625 46,066 45,981
48,429 38,452 41,190 45,058
40,885 36,790 38,039 43,166
78,988 66,774
119,096 114,922
95,450 84,099
128,375 110,629
97,991 80,316
116,572 101,011
86,311 67,629 77,691 78,844
74,594 54,939 84,972 73,151
52,626 36,337 63,489 48,044
35,123 24,739 74,310 66,970
59,419 53,745 93,866 82,731
75,229 56,802 78,590 75,488
63,205 50,330 71,989 66,466
(D) Withheld to avoid disclosing data for individual operations. 1 Includes stocks at mills, elevators, terminals, and processors.
28 2018 Washington Annual Statistical Bulletin (October 2018) USDA, National Agricultural Statistics Service - Northwest Regional Office
Corn Area Planted for All Purposes and Harvested for Grain, Yield, Production, Price, and Value — Washington: 2008-2017
March 1, 2008 .................. June 1, 2008 .................... September 1, 2008 .......... December 1, 2008 ........... March 1, 2009 .................. June 1, 2009 .................... September 1, 2009 .......... December 1, 2009 ........... March 1, 2010 .................. June 1, 2010 .................... September 1, 2010 .......... December 1, 2010 ........... March 1, 2011 .................. June 1, 2011 .................... September 1, 2011 .......... December 1, 2011 ........... March 1, 2012 .................. June 1, 2012 .................... September 1, 2012 .......... December 1, 2012 ........... March 1, 2013 .................. June 1, 2013 .................... September 1, 2013 .......... December 1, 2013 ........... March 1, 2014 .................. June 1, 2014 .................... September 1, 2014 .......... December 1, 2014 ........... March 1, 2015 .................. June 1, 2015 .................... September 1, 2015 .......... December 1, 2015 ........... March 1, 2016 .................. June 1, 2016 .................... September 1, 2016 .......... December 1, 2016 ........... March 1, 2017 .................. June 1, 2017 .................... September 1, 2017 .......... December 1, 2017 ...........
(D) (D) (D) (D)
(D) (D) (D) (D)
(D) (D) (D) (D)
(D) (D) (D) (D)
(D) (D) (D) (D)
(D) (D) (D) (D)
(D) (D) (D) (D)
(D) (D) (D) (D)
(D) (D) (D) (D)
(D) (D) (D) (D)
9,430 7,158 3,607 9,312
7,984 7,160 8,018 9,815
10,302 9,022 3,849 9,294
9,436 6,770 3,093
13,111
14,062 8,345 4,149 9,531
8,806 4,317 1,855
16,133
8,561 7,546 5,430
11,896
12,139 8,349 6,772
10,440
12,319 15,133 9,898
12,360
10,746 8,917 6,371
13,555
(D) (D) (D) (D)
(D) (D) (D) (D)
(D) (D) (D) (D)
(D) (D) (D) (D)
(D) (D) (D) (D)
(D) (D) (D) (D)
(D) (D) (D) (D)
(D) (D) (D) (D)
(D) (D) (D) (D)
(D) (D) (D) (D)
3,780,000 1,970,900
499,950 6,482,000
4,085,000 2,205,400
607,500 7,405,000
4,548,000 2,131,400
485,100 6,302,000
3,384,000 1,681,500
314,950 6,175,000
3,192,000 1,482,000
313,700 4,586,000
2,669,200 1,260,100
275,000 6,380,000
3,860,500 1,863,200
462,000 7,087,000
4,380,000 2,275,000
593,000 6,829,000
4,335,000 2,471,400
627,400 7,611,000
4,908,000 2,841,400
787,000 7,739,000
3,078,722 2,057,117 1,124,200 3,590,106
2,869,145 2,056,027 1,065,811 3,497,460
3,145,787 2,178,671 1,222,687 3,754,769
3,139,228 1,988,832
812,695 3,471,823
2,831,356 1,666,204
675,327 3,446,732
2,730,726 1,506,144
546,185 4,072,532
3,147,623 1,988,516
769,904 4,124,380
3,369,806 2,177,988 1,138,164 4,406,178
3,487,233 2,239,679 1,109,658 4,772,471
3,713,992 2,387,682 1,506,303 4,827,501
6,858,722 4,028,017 1,624,150
10,072,106
6,954,145 4,261,427 1,673,311
10,902,460
7,693,787 4,310,071 1,707,787
10,056,769
6,523,228 3,670,332 1,127,645 9,646,823
6,023,356 3,148,204
989,027 8,032,732
5,399,926 2,766,244
821,185 10,452,532
7,008,123 3,851,716 1,231,904
11,211,380
7,749,806 4,452,988 1,731,164
11,235,178
7,822,233 4,711,079 1,737,058
12,383,471
8,621,992 5,229,082 2,293,303
12,566,501
(D) Withheld to avoid disclosing data for individual operations. 1 Includes stocks at mills, elevators, terminals, and processors.
30 2018 Washington Annual Statistical Bulletin (October 2018) USDA, National Agricultural Statistics Service - Northwest Regional Office
Corn Area Planted and Harvested, Yield, and Production, by County — Washington: 2016-2017
- Represents zero. (D) Withheld to avoid disclosing data for individual operations. 1 Combined districts or counties contain counties with minimal data or counties combined to avoid disclosure of individual operations.
2018 Washington Annual Statistical Bulletin (October 2018) 31 USDA, National Agricultural Statistics Service - Northwest Regional Office
Dry Edible Bean Area Planted and Harvested, Yield, Production, Price, and Value — Washington: 2008-2017
(D) Withheld to avoid disclosing data for individual operations. 1 Combined districts or counties contain counties with minimal data or counties combined to avoid disclosure of individual operations. 2 Total may not add due to rounding.
2018 Washington Annual Statistical Bulletin (October 2018) 33 USDA, National Agricultural Statistics Service - Northwest Regional Office
Dry Edible Bean Area Planted and Harvested, Yield, and Production by Commercial Class — Washington: 2014-2017
Class and year Area planted Area harvested Yield per acre 2 Production
(acres) (acres) (pounds) (1,000 cwt)
Navy 2014 ...................................................... 2015 ...................................................... 2016 ...................................................... 2017 ...................................................... Small white 2014 ...................................................... 2015 ...................................................... 2016 ...................................................... 2017 ...................................................... Pinto 2014 ...................................................... 2015 ...................................................... 2016 ...................................................... 2017 ...................................................... Light red kidney 2014 ...................................................... 2015 ...................................................... 2016 ...................................................... 2017 ...................................................... Dark red kidney 2014 ...................................................... 2015 ...................................................... 2016 ...................................................... 2017 ...................................................... Pink 2014 ...................................................... 2015 ...................................................... 2016 ...................................................... 2017 ...................................................... Small red 2014 ...................................................... 2015 ...................................................... 2016 ...................................................... 2017 ...................................................... Black 2014 ...................................................... 2015 ...................................................... 2016 ...................................................... 2017 ...................................................... Chickpeas, small 3 2014 ...................................................... 2015 ...................................................... 2016 ...................................................... 2017 ...................................................... Chickpeas, large 4 2014 ...................................................... 2015 ...................................................... 2016 ...................................................... 2017 ...................................................... Chickpeas, all 2014 ...................................................... 2015 ...................................................... 2016 ...................................................... 2017 ...................................................... Other dry beans 2014 ...................................................... 2015 ...................................................... 2016 ...................................................... 2017 ...................................................... Dry beans, all classes 2014 ...................................................... 2015 ...................................................... 2016 ...................................................... 2017 ......................................................
1,100
( 1 ) ( 1 )
1,100
( 1 ) 1,700
( 1 ) (D)
12,000 9,000
11,000 7,800
3,600 3,600
( 1 ) 1,300
3,500 2,900 1,500 1,800
1,000
500 ( 1 )
1,100
4,000 6,600 4,000 2,000
5,000 6,200 4,000 2,900
22,000 20,000 29,000 52,000
68,000 55,000 79,000
115,000
90,000 75,000
108,000 167,000
7,500 2,800 5,800 6,700
127,700 110,000 135,000 191,000
1,100
( 1 ) ( 1 )
1,100
( 1 ) 1,700
( 1 ) (D)
12,000 9,000
10,200 7,700
3,600 3,600
( 1 ) 1,300
3,500 2,900 1,500 1,800
1,000
500 ( 1 )
1,100
4,000 6,600 3,700 2,000
5,000 6,200 3,800 2,800
22,000 20,000 28,900 51,800
67,000 54,000 78,500
114,500
89,000 74,000
107,400 166,300
7,500 2,800 5,700
( 1 )
126,700 109,000 133,000 190,000
2,360
( 1 ) ( 1 )
2,750
( 1 ) 2,410
( 1 ) (D)
2,210 2,500 3,200 2,500
1,940 2,310
( 1 ) 2,540
2,090 2,210 2,500 2,520
2,700 2,600
( 1 ) 2,410
2,200 2,300 2,600 2,490
2,460 2,400 2,500 2,950
1,180 1,080 2,000 1,330
1,140 1,000 1,700 1,350
1,150 1,020 1,780 1,340
2,470 2,140 2,540
( 1 )
1,480 1,450 1,980 1,490
26
( 1 ) ( 1 ) 30
( 1 ) 41
( 1 ) (D)
265 225 326 193
70 83
( 1 ) 33
73 64 38 45
27 13
( 1 ) 27
88
152 96 50
123 149 95 83
260 216 578 689
764 540
1,335 1,546
1,024
756 1,913 2,235
185 60
145 ( 1 )
1,881 1,582 2,631 2,834
(D) Withheld to avoid disclosing data for individual operations. 1 Missing data included in "other" category to avoid disclosure of individual data. 2 Clean basis. 3 Chickpeas (or Garbanzo beans) smaller than 20/64 inches. 4 Chickpeas (or Garbanzo beans) larger than 20/64 inches.
34 2018 Washington Annual Statistical Bulletin (October 2018) USDA, National Agricultural Statistics Service - Northwest Regional Office
Dry Edible Pea Area Planted and Harvested, Yield, Production, Price, and Value — Washington: 2008-2017
Potato Stocks Held by Growers, Local Dealers, and Processors — Idaho, Oregon, Washington, and 13 Fall States: 2015-2017 [Stocks are defined as the quantity (whether sold or not) remaining in storage for all purposes and uses, including seed potatoes that are not yet moved, and shrinkage, waste, and other losses that occur after the date of each estimate]
(D) Withheld to avoid disclosing data for individual operations. (NA) Not available. 1 Includes potato stocks in California and Klamath County, Oregon.
36 2018 Washington Annual Statistical Bulletin (October 2018) USDA, National Agricultural Statistics Service - Northwest Regional Office
Quantity of Potatoes Used for Processing — 9 States: 2015-2017 [Total quantity received and used for processing regardless of the State in which the potatoes were produced]
State and
crop year
Current year Following year
December 1 January 1 February 1 March 1 April 1 May 1 June 1 Season
Round white potatoes Oregon ............................................. All long potatoes 3 Idaho 4 ............................................. Oregon ............................................. Washington ......................................
91.6
82.0 80.5 82.4
87.7
79.2 79.1 86.6
5.6
13.4 15.0 12.2
6.8
15.5 15.7 9.8
2.8
4.6 4.5 5.4
5.5
5.3 5.2 3.6
1 Potatoes which meet the requirement for United States #1 or #2, as stated in United States Standards for Grades of Potatoes, United States Department of Agriculture, Agricultural Marketing Service.
2 Potatoes not meeting the requirement for United States #1 or #2, as stated in United States Standards for Grades of Potatoes, United States Department of Agriculture, Agricultural Marketing Service.
3 Includes Russet, Shepody, Prospect, and Defender varieties unless otherwise indicated. 4 Russets only.
2018 Washington Annual Statistical Bulletin (October 2018) 37 USDA, National Agricultural Statistics Service - Northwest Regional Office
All Long Potato Size Categories — Idaho, Oregon, and Washington: 2016-2017 [Gross yield basis. Totals may not add to 100 due to rounding. Includes Russet, Shepody, Prospect, and Defender varieties]
French fries New England .................................................. Middle Atlantic ................................................ East North Central .......................................... West North Central ......................................... South Atlantic ................................................. East South Central ......................................... West South Central ........................................ Mountain ........................................................ Pacific ............................................................ United States .................................................. Other frozen potatoes New England .................................................. Middle Atlantic ................................................ East North Central .......................................... West North Central ......................................... South Atlantic ................................................. East South Central ......................................... West South Central ........................................ Mountain ........................................................ Pacific ............................................................ United States .................................................. Total frozen potatoes New England .................................................. Middle Atlantic ................................................ East North Central .......................................... West North Central ......................................... South Atlantic ................................................. East South Central ......................................... West South Central ........................................ Mountain ........................................................ Pacific ............................................................ United States ..................................................
19,749 11,549 74,513
102,654 36,636
138 29,664
196,770 480,645 952,318
13,080 5,154
35,322 16,670 15,047
57 16,161 73,005 68,865
243,361
32,829 16,703
109,835 119,324 51,683
195 45,825
269,775 549,510
1,195,679
20,880 11,656 77,315
110,446 39,237
216 28,761
196,101 472,690 957,302
15,103 5,276
36,197 17,370 14,510
138 16,858 72,531 75,297
253,280
35,983 16,932
113,512 127,816 53,747
354 45,619
268,632 547,987
1,210,582
20,324 15,325 79,847
113,725 37,213
141 28,397
200,745 454,593 950,310
13,223 5,898
38,630 18,018 13,355
59 19,222 73,414 80,208
262,027
33,547 21,223
118,477 131,743 50,568
200 47,619
274,159 534,801
1,212,337
16,472 31,935 85,595 96,061 43,339
422 34,156
182,209 459,261 949,450
15,846 7,277
41,726 16,900 13,830
246 20,741 76,501 77,190
270,257
32,318 39,212
127,321 112,961 57,169
668 54,897
258,710 536,451
1,219,707
16,142 36,388 81,901 95,422 42,789
213 34,694
180,405 450,024 937,978
15,616 6,430
43,634 15,881 15,356
218 23,878 78,952 71,333
271,298
31,758 42,818
125,535 111,303 58,145
431 58,572
259,357 521,357
1,209,276
17,530 32,741 84,160
106,891 39,986
195 34,433
192,203 446,749 954,888
16,481 5,785
44,326 15,690 15,172
220 22,837 80,510 74,700
275,721
34,011 38,526
128,486 122,581 55,158
415 57,270
272,713 521,449
1,230,609
2018 Washington Annual Statistical Bulletin (October 2018) 39 USDA, National Agricultural Statistics Service - Northwest Regional Office
Frozen Potatoes in Cold Storage — Regions and United States: July-December, 2017
French fries New England.................................................. Middle Atlantic ................................................ East North Central .......................................... West North Central ......................................... South Atlantic ................................................. East South Central ......................................... West South Central ........................................ Mountain ........................................................ Pacific ............................................................ United States ................................................. Other frozen potatoes New England.................................................. Middle Atlantic ................................................ East North Central .......................................... West North Central ......................................... South Atlantic ................................................. East South Central ......................................... West South Central ........................................ Mountain ........................................................ Pacific ............................................................ United States ................................................. Total frozen potatoes New England.................................................. Middle Atlantic ................................................ East North Central .......................................... West North Central ......................................... South Atlantic ................................................. East South Central ......................................... West South Central ........................................ Mountain ........................................................ Pacific ............................................................ United States .................................................
19,465 28,947 79,325
104,722 40,127
147 34,657
197,523 417,187 922,100
17,025 5,197
40,364 17,057 15,257
263 22,822 84,867 76,732
279,584
36,490 34,144
119,689 121,779 55,384
410 57,479
282,390 493,919
1,201,684
15,671 27,726 89,679 94,817 42,716
261 33,547
189,518 425,669 919,604
18,592 5,303
45,881 15,171 14,294
300 20,649 77,216 73,189
270,595
34,263 33,029
135,560 109,988 57,010
561 54,196
266,734 498,858
1,190,199
22,619 30,453 78,059
109,693 49,590
239 36,642
206,200 443,282 976,777
13,475 5,821
42,258 17,462 15,518
331 19,711 73,060 72,566
260,202
36,094 36,274
120,317 127,155 65,108
570 56,353
279,260 515,848
1,236,979
20,652 31,697 84,364
101,779 50,203
232 31,342
206,496 475,958
1,002,723
14,836 6,157
41,536 20,646 15,947
351 18,609 81,344 71,363
270,789
35,488 37,854
125,900 122,425 66,150
583 49,951
287,840 547,321
1,273,512
20,565 32,831 86,175 99,332 60,815
229 28,305
189,943 492,105
1,010,300
14,821 6,331
41,863 22,141 14,927
347 17,673 76,004 69,728
263,835
35,386 39,162
128,038 121,473 75,742
576 45,978
265,947 561,833
1,274,135
16,270 31,312 87,567 86,712 57,573
453 30,265
185,425 445,381 940,958
14,692 6,095
41,445 20,893 15,057
266 19,941 69,330 54,366
242,085
30,962 37,407
129,012 107,605 72,630
719 50,206
254,755 499,747
1,183,043
40 2018 Washington Annual Statistical Bulletin (October 2018) USDA, National Agricultural Statistics Service - Northwest Regional Office
Hop Area Harvested, Yield, Production, Price, and Value — Washington: 2008-2017
2018 Washington Annual Statistical Bulletin (October 2018) 41 USDA, National Agricultural Statistics Service - Northwest Regional Office
Hop Area Harvested and Strung for Harvest by Variety — Washington: 2016-2018
Variety Area harvested Strung for harvest
2016 2017 2018
(acres) (acres) (acres)
Ahtanum TM , YCR 1 ................................................................ Amarillo R , VGXP01 ................................................................ Apollo TM ................................................................................. Azacca TM , ADHA-483 ............................................................. Bravo TM .................................................................................. Cascade ................................................................................... Cashmere ................................................................................. Centennial ................................................................................ Chinook .................................................................................... Citra R , HBC 394 ..................................................................... Cluster ...................................................................................... Columbus/Tomahawk R ........................................................... Comet ....................................................................................... Crystal ...................................................................................... Ekuanot TM , HBC 366 ............................................................. El DoradoR .............................................................................. Eureka TM ................................................................................. Galena ...................................................................................... HBC-682 .................................................................................. Loral TM , HBC 291 ................................................................... Mosaic R , HBC 369 ................................................................. Mt. Hood ................................................................................... Mt Rainier ................................................................................. Nugget ...................................................................................... Palisade R , YCR 4 ................................................................... Pekko R , ADHA-871 ................................................................ Simcoe R , YCR 14 ................................................................... Sorachi Ace ............................................................................. Summit TM Super Galena TM ..................................................................... Tahoma ................................................................................... Tettnanger ................................................................................ Willamette ................................................................................ Zeus ......................................................................................... Experimental ............................................................................. Other varieties 1 ...................................................................... Total ........................................................................................
155 (D) 735 506 573
5,582 (D)
4,359 1,415 3,264
623
1,416 163 191 (D) 396 (D) 262
- (D)
2,029
88 (D) 186 580 (D)
3,769 (D)
1,769 310
(D) (D) 728
2,502 567
5,000
37,444
371 1,984
684 578 486
4,896 (D)
4,305 1,632 3,645
621
1,659 205 122 890 463 362 378
- 186
1,877
87 (D) 125 571 (D)
3,753 371
1,617 435
217 38
571 2,214
421
3,045
38,438
260 1,898
793 546 280
4,124 197
3,897 1,742 4,954
610
2,138 219 114 870 432 409 467
1,659 131
1,950
107 305 147 516 92
3,098 260
1,610 499
209 (D) 371
2,479 363
1,641
39,273
- Represents zero. (D) Withheld to avoid disclosing data for individual operations. R Registered TM Trademark 1 Includes data withheld to avoid disclosure of individual operations and varieties not listed.
42 2018 Washington Annual Statistical Bulletin (October 2018) USDA, National Agricultural Statistics Service - Northwest Regional Office
All Hay Area Harvested, Yield, Production, Price, and Value — Washington: 2008-2017
2018 Washington Annual Statistical Bulletin (October 2018) 43 USDA, National Agricultural Statistics Service - Northwest Regional Office
Alfalfa Hay Area Harvested, Yield, and Production, by County — Washington: 2016-2017
District and county 1
2016 2017
Harvested Yield per acre Production Harvested Yield per acre Production
(acres) (tons) (tons) (acres) (tons) (tons)
Western ....................................... Clallam ..................................... Clark ........................................ Cowlitz ..................................... Grays Harbor ........................... Island ....................................... Jefferson .................................. King ......................................... Kitsap....................................... Lewis ....................................... Mason ...................................... Pacific ...................................... Pierce ...................................... San Juan ................................. Skagit....................................... Skamania ................................. Snohomish ............................... Thurston .................................. Wahkiakum .............................. Whatcom.................................. Other counties .......................... Central ......................................... Benton ..................................... Chelan ..................................... Kittitas ...................................... Klickitat .................................... Okanogan ................................ Yakima ..................................... Other counties .......................... Northeast ..................................... Ferry ........................................ Pend Oreille ............................. Spokane .................................. Stevens .................................... Other counties .......................... East Central ................................. Adams ..................................... Douglas ................................... Franklin .................................... Grant ....................................... Lincoln ..................................... Other counties .......................... Southeast .................................... Asotin....................................... Columbia.................................. Garfield .................................... Walla Walla .............................. Whitman .................................. Other counties .......................... Other districts ............................... Washington ..................................
- Represents zero. (D) Withheld to avoid disclosing data for individual operations. 1 Combined districts or counties contain counties with minimal data or counties combined to avoid disclosure of individual operations.
44 2018 Washington Annual Statistical Bulletin (October 2018) USDA, National Agricultural Statistics Service - Northwest Regional Office
All Other Hay Area Harvested, Yield, and Production, by County — Washington: 2016-2017 [The all other hay category is any hay excluding alfalfa or alfalfa mixtures.]
District and county 1
2016 2017
Harvested Yield per acre Production Harvested Yield per acre Production
(acres) (tons) (tons) (acres) (tons) (tons)
Western ...................................... Clallam .................................... Clark ....................................... Cowlitz .................................... Grays Harbor ........................... Island ...................................... Jefferson ................................. King......................................... Kitsap ...................................... Lewis ....................................... Mason ..................................... Pacific ..................................... Pierce ...................................... San Juan ................................. Skagit ...................................... Skamania ................................ Snohomish .............................. Thurston .................................. Wahkiakum ............................. Whatcom ................................. Other counties ......................... Central ........................................ Benton .................................... Chelan .................................... Kittitas ..................................... Klickitat.................................... Okanogan ............................... Yakima .................................... Other counties ......................... Northeast .................................... Ferry ....................................... Pend Oreille ............................ Spokane .................................. Stevens ................................... Other counties ......................... East Central ................................ Adams ..................................... Douglas ................................... Franklin ................................... Grant ....................................... Lincoln .................................... Other counties ......................... Southeast .................................... Asotin ...................................... Columbia ................................. Garfield ................................... Walla Walla ............................. Whitman .................................. Other counties ......................... Other districts .............................. Washington .................................
- Represents zero. (D) Withheld to avoid disclosing data for individual operations. 1 Combined districts or counties contain counties with minimal data or counties combined to avoid disclosure of individual operations.
2018 Washington Annual Statistical Bulletin (October 2018) 45 USDA, National Agricultural Statistics Service - Northwest Regional Office
Hay Stocks on Farms — Washington and United States: May 1 and December 1, 2008-2017
1 All alfalfa forage production is the sum of alfalfa harvested as dry hay and alfalfa haylage and greenchop production after converting it to a dry equivalent basis. 2 All forage production is the sum of the following dry equivalents: alfalfa hay harvested as dry hay, all other hay harvested as dry hay, alfalfa haylage and
greenchop, all other haylage and greenchop; after converting alfalfa and all other haylage and greenchop to a dry equivalent basis.
Alfalfa and All Haylage and Greenchop Area Harvested, Yield, and Production — Washington: 2008-2017
Year Alfalfa haylage and greenchop 1 All haylage and greenchop 2
Area harvested Yield per acre Production Area harvested Yield per acre Production
1 Includes only alfalfa and alfalfa mixtures that were harvested as haylage or greenchop (green weight). Alfalfa harvested as dry hay is not included. 2 Includes all types of forage harvested as haylage or greenchop (green weight). Forage harvested as dry hay and corn and sorghum silage/greenchop are not
included.
Canola Area Planted and Harvested, Yield, Production, Price, and Value —Washington: 2012-2017 [Estimates began in 2011.]
2018 Washington Annual Statistical Bulletin (October 2018) 51 USDA, National Agricultural Statistics Service - Northwest Regional Office
Onions for Fresh Market and Processing Area Planted and Harvested, Yield, Production, Price, and Value — Washington: 2008-2015 [Estimates discontinued in 2016.]
Western 2 2013-2014 ................... 2014-2015 ................... 2015-2016 ................... 2016-2017 ................... 2017-2018 ................... United States 2013-2014 ................... 2014-2015 ................... 2015-2016 ................... 2016-2017 ................... 2017-2018 ...................
3,765 5,337 5,020 4,235 3,802
(D) 28,654 28,931 27,113 26,469
23,052 23,448 24,721 24,080 22,226
134,685 143,292 142,147 143,497 140,563
123,205 130,745 141,203 136,407 125,465
882,075 907,191 919,012 906,593 891,231
1.810 1.860 1.800 1.950 1.980
1.190 1.230 1.200 1.240 1.270
222,910 242,562 254,609 265,668 248,236
1,049,972 1,118,371 1,098,745 1,122,821 1,127,886
(D) Withheld to avoid disclosing data for individual operations. 1 Prices for mushrooms are the average prices producers receive at the point of first sale, commonly referred to as the average price as sold. For example,
part of the fresh mushrooms are sold F.O.B. packed by growers, part are sold bulk to brokers or repackers, and some are sold retail at roadside stands. The mushroom average price as sold is a weighted average of the average price for each method of sale.
2 Western includes California, Colorado, Hawaii, Oregon, Utah, and Washington.
52 2018 Washington Annual Statistical Bulletin (October 2018) USDA, National Agricultural Statistics Service - Northwest Regional Office
Commercial Apple Bearing Acreage, Yield, Production, Price, and Value — Washington: 2008-2017
1 Includes spaces that maintain temperatures between 0 and 50 degrees Fahrenheit. 2 Includes spaces that maintain temperatures at 0 degrees Fahrenheit or lower.
58 2018 Washington Annual Statistical Bulletin (October 2018) USDA, National Agricultural Statistics Service - Northwest Regional Office
Milk Cows and Production by Month — Washington: 2010-2017
2010 January ................. February ................ March .................... April....................... May ....................... June ...................... July ....................... August ................... September............. October ................. November ............. December ............. Annual ................... 2011 January ................. February ................ March .................... April....................... May ....................... June ...................... July ....................... August ................... September............. October ................. November ............. December ............. Annual ................... 2012 January ................. February ................ March .................... April....................... May ....................... June ...................... July ....................... August ................... September............. October ................. November ............. December ............. Annual ................... 2013 January ................. February ................ March .................... April....................... May ....................... June ...................... July ....................... August ................... September............. October ................. November ............. December ............. Annual ...................
2014 January ............... February .............. March .................. April ..................... May ..................... June .................... July ...................... August ................. September ........... October ............... November ............ December ............ Annual ................. 2015 January ............... February .............. March .................. April ..................... May ..................... June .................... July ...................... August ................. September ........... October ............... November ............ December ............ Annual ................. 2016 January ............... February .............. March .................. April ..................... May ..................... June .................... July ...................... August ................. September ........... October ............... November ............ December ............ Annual ................. 2017 January ............... February .............. March .................. April ..................... May ..................... June .................... July ...................... August ................. September ........... October ............... November ............ December ............ Annual .................
1 Excludes milk sucked by calves. 2 Milk sold to plants and dealers as whole milk and equivalent amounts of milk for cream. Includes milk produced by dealers' own herds and milk sold directly to
consumers. Also includes milk produced by institutional herds. 3 Percent of milk sold that is eligible for fluid use (Grade A in most States). Includes fluid grade milk used in manufacturing dairy products.
Milk and Cream Marketings, Income, and Value of Production — Washington: 2008-2017
1 Cash receipts divided by milk or milkfat in combined marketings. 2 Value at average returns per 100 pounds of milk in combined marketings of milk and cream. 3 Cash receipts from marketings of milk and cream plus value of milk used for home consumption. 4 Includes value of milk fed to calves.
60 2018 Washington Annual Statistical Bulletin (October 2018) USDA, National Agricultural Statistics Service - Northwest Regional Office
Cattle Inventory by Class — Washington: January 1, 2009-2018
Year All cattle
and calves
All cows that have calved Heifers, steers, and bulls 500 pounds and over Under 500 pounds
Cattle and Calves Inventory, Supply, and Disposition — Washington: 2008-2017 [The sum of the beginning of year inventory, calf crop, and inshipments is equal to the sum of marketings, farm slaughter, deaths, and end of year inventory.]
1 Includes custom slaughter for use on farms where produced and State outshipments, but excludes interfarm sales within the State. 2 Excludes custom slaughter for farmers at commercial establishments.
Cattle and Calves Production, Price, and Income — Washington: 2008-2017
Year Production 1 Marketings 2 Average price Value of
production Cash
receipts 3 Value of home consumption
Gross income Cattle Calves
(1,000 pounds) (1,000 pounds) (dollars per cwt) (dollars per cwt) (1,000 dollars) (1,000 dollars) (1,000 dollars) (1,000 dollars)
(NA) Not available. 1 Adjustments made for changes in inventory and for inshipments. 2 Excludes custom slaughter for use on farms where produced and interfarm sales within the State. 3 Receipts from marketings and sale of farm slaughter.
2018 Washington Annual Statistical Bulletin (October 2018) 61 USDA, National Agricultural Statistics Service - Northwest Regional Office
Number of Cattle on Feed Placements, Marketings, and Other Disappearance on 1,000+ Capacity Feedlots, by Month — Washington: 2013-2017
Item and Year 1
January February March April May June July August September October November December
Chickens and Eggs Sold and Value of Production — Washington: 2008-2017 [Annual estimates cover the period December 1 of the previous year through November 30. Excludes broilers]
(Z) Less than half of the unit shown. 1 Includes rendered, died, destroyed, composted, or disappeared for any reason except sold during the 12-month period.
2018 Washington Annual Statistical Bulletin (October 2018) 67 USDA, National Agricultural Statistics Service - Northwest Regional Office
Average Number of All Layers on Hand During the Month — Washington: 2008-2017 Year December 1 January February March April May June July August September October November
Number of Eggs Layed per 100 For All Layers During the Month — Washington: 2008-2017 Year December 1 January February March April May June July August September October November
68 2018 Washington Annual Statistical Bulletin (October 2018) USDA, National Agricultural Statistics Service - Northwest Regional Office
Number of Colonies, Yield, Production, Stocks, Price, and Value – Washington: 2008-2017 [Producers with five or more colonies. Colonies which produced honey in more than one State were counted in each State.]
1 Honey producing colonies are the maximum number of colonies from which honey was taken during the year. It is possible to take honey from colonies which did not survive the entire year.
2 Stocks held by producers. 3 Average price per pound based on expanded sales. 4 Value of production is equal to production multiplied by average price per pound. 5 Due to rounding, total colonies multiplied by total yield may not equal production.
Value of Trout Sold and Distributed and Trout Lost, Intended for Sale — Washington: 2013-2017
(D) Withheld to avoid disclosing data for individual operations. 1 Price per pound for trout sold. Value per pound for trout distributed. 2 Due to rounding, total number of fish multiplied by the average pounds per unit may not equal total live weight. 3 Due to rounding, the total number of fish multiplied by average value per unit may not equal total sales or value.
70 2018 Washington Annual Statistical Bulletin (October 2018) USDA, National Agricultural Statistics Service - Northwest Regional Office
Marketing Year Definitions for Specified Commodities
Field Crops
Barley: June 1 to May 31 for U.S.; July 1 to June 30 for Washington.
Corn for Grain: September 1 to August 31 for U.S.; October 1 to September 30 for Washington.
Dry Edible Beans: September 1 to August 31 for U.S. and all States.
Hay: May 1 to April 30 for U.S.; June 1 to May 31 for Washington.
Hops: September 1 to August 31 for all States.
Oats: June 1 to May 31 for U.S.; July 1 to June 30 for Washington.
Potatoes: The marketing year for fall potatoes is from the start of harvest through August of the following year.
Wheat: June 1 to May 31 for U.S.; July 1 to June 30 for Washington.
Asparagus: January 1 to October 31 for U.S.; April 1 to July 31 for Washington.
Onions: May 1 to September 30 for summer (non-storage); September 1 to April 30 for summer (storage).
Non-Citrus Fruit
Apples (Fresh): September 1 to August 31 for Washington.
Apricots: May 25 to August 20 for fresh fruit in Washington; June 15 to August 15 for processed fruit in Washington.
Peaches (Fresh): July 1 to September 30 for Washington.
Pears (Fresh): August 10 to May 31 for Washington.
Pears (Equivalent On-Tree): August 10 to May 31 for Washington.
Livestock
Cattle, Milk, Sheep, Lambs, Wool, and Honey: January 1 to December 31 for U.S. and all States.
Broilers, Eggs, and Other Chickens: December 1 to November 30 for U.S. and all States.