agri-facts · (d) 8,209.7 56.7 (d) 7,926.8 - (d) 1,168.5 - (d) 1,204.8 - represents zero. (d)...

27
USDA, NASS - Northwest Regional Field Office AGRI-FACTS NATIONAL AGRICULTURAL STATISTICS SERVICE United States Department of Agriculture Washington, DC 20250 Northwest Regional Field Office • Olympia, WA 98507 Ag Statistics Hotline: 1-800-727-9540 • www.nass.usda.gov In this Issue Posted online May 29, 2020 Regional Contacts Phone: 1-800-435-5883 Email: [email protected] Winter Wheat Forecast Hay Stocks Milk Production Cattle on Feed Agricultural Prices Farm Labor Chickens and Eggs Cold Storage County Estimates (Cattle) Noncitrus (Annual) Washington Christopher Mertz, NW Regional Director Idaho Randy Welk, State Statistician Oregon Dave Losh, State Statistician Alaska Sue Benz, State Statistician Winter Wheat Area Harvested, Yield, and Production Idaho, Oregon, Washington, and United States: 2019 and Forecasted May 1, 2020 State Area harvested Yield per acre Production 2019 2020 2019 2020 2019 2020 (1,000 acres) (1,000 acres) (bushels) (bushels) (1,000 bushels) (1,000 bushels) Idaho ........................................................... Oregon ........................................................ Washington ................................................. United States .............................................. 680 730 1,700 24,327 690 730 1,640 24,275 87.0 68.0 70.0 53.6 85.0 62.0 72.0 51.7 59,160 49,640 119,000 1,304,003 58,650 45,260 118,080 1,254,600 - 20,000 40,000 60,000 80,000 100,000 120,000 140,000 2016 2017 2018 2019 2020 1,000 bushels Winter Wheat Production - Idaho, Oregon, and Washington : 2016-2019 and Forecasted May 1, 2020 Idaho Oregon Washington

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Page 1: AGRI-FACTS · (D) 8,209.7 56.7 (D) 7,926.8 - (D) 1,168.5 - (D) 1,204.8 - Represents zero. (D) Withheld to avoid disclosing data for individual operations. Layers on Hand and Eggs

USDA, NASS - Northwest Regional Field Office

AGRI-FACTS NATIONAL AGRICULTURAL STATISTICS SERVICE

United States Department of Agriculture Washington, DC 20250 Northwest Regional Field Office • Olympia, WA 98507

Ag Statistics Hotline: 1-800-727-9540 • www.nass.usda.gov

In this Issue – Posted online May 29, 2020 Regional Contacts

Phone: 1-800-435-5883 Email: [email protected]

Winter Wheat Forecast

Hay Stocks

Milk Production

Cattle on Feed

Agricultural Prices

Farm Labor

Chickens and Eggs

Cold Storage

County Estimates (Cattle)

Noncitrus (Annual)

Washington – Christopher Mertz, NW Regional Director

Idaho – Randy Welk, State Statistician Oregon – Dave Losh, State Statistician Alaska – Sue Benz, State Statistician

Winter Wheat Area Harvested, Yield, and Production — Idaho, Oregon, Washington, and United States: 2019 and Forecasted May 1, 2020

State Area harvested Yield per acre Production

2019 2020 2019 2020 2019 2020

(1,000 acres) (1,000 acres) (bushels) (bushels) (1,000 bushels) (1,000 bushels)

Idaho ........................................................... Oregon ........................................................ Washington ................................................. United States ..............................................

680 730

1,700

24,327

690 730

1,640

24,275

87.0 68.0 70.0

53.6

85.0 62.0 72.0

51.7

59,160 49,640

119,000

1,304,003

58,650 45,260

118,080

1,254,600

-

20,000

40,000

60,000

80,000

100,000

120,000

140,000

2016 2017 2018 2019 2020

1,00

0 b

ush

els

Winter Wheat Production - Idaho, Oregon, and Washington :2016-2019 and Forecasted May 1, 2020

Idaho Oregon Washington

Page 2: AGRI-FACTS · (D) 8,209.7 56.7 (D) 7,926.8 - (D) 1,168.5 - (D) 1,204.8 - Represents zero. (D) Withheld to avoid disclosing data for individual operations. Layers on Hand and Eggs

2 USDA, NASS - Northwest Regional Field Office

Wheat Production by Class — United States: 2019 and Forecasted May 1, 2020 [Wheat class estimates are based on the latest available data including both surveys and administrative data. The previous end-of-year season class

percentages are used throughout the forecast season for States that do not have survey or administrative data available. Blank cells indicate

estimation period has not yet begun]

Crop 2019 2020

(1,000 bushels) (1,000 bushels)

Winter

Hard red ...................................................................................................................

Soft red .....................................................................................................................

Hard white ................................................................................................................

Soft white .................................................................................................................

Spring

Hard red ...................................................................................................................

Hard white ................................................................................................................

Soft white .................................................................................................................

Durum.......................................................................................................................

Total ............................................................................................................................

833,181

239,166

19,954

211,702

521,557

11,831

28,992

53,756

1,920,139

733,409

297,527

16,200

207,464

Hay Stocks on Farms — Idaho, Oregon, Washington, and United States: December 1 and May 1, 2018-2020

State December 1 May 1

2018 2019 2019 2020

(1,000 tons) (1,000 tons) (1,000 tons) (1,000 tons)

Idaho ................................................................... Oregon................................................................ Washington ........................................................ United States......................................................

2,400 1,650 1,100

79,055

2,400 1,900 1,050

84,488

400 170 290

14,906

490 400 160

20,426

-

100

200

300

400

500

600

700

800

900

1,000

2016 2017 2018 2019 2020

1,00

0 to

ns

Hay Stocks on Farms - Idaho, Oregon, and Washington: May 1, 2016 - 2020

Idaho Oregon Washington

Page 3: AGRI-FACTS · (D) 8,209.7 56.7 (D) 7,926.8 - (D) 1,168.5 - (D) 1,204.8 - Represents zero. (D) Withheld to avoid disclosing data for individual operations. Layers on Hand and Eggs

USDA, NASS - Northwest Regional Field Office 3

Milk Production — Idaho, Oregon, Washington, and 24-State Total: March and April, 2019 and 2020 [Excludes milk sucked by calves]

State

Milk production

March April

2019 2020 Change from

2019 2019 2020

Change from

2019

(million pounds) (million pounds) (percent) (million pounds) (million pounds) (percent)

Idaho ...........................................

Oregon ........................................

Washington .................................

24-State Total .............................

1,295

217

562

17,916

1,381

222

580

18,455

6.6

2.3

3.2

3.0

1,279

215

564

17,544

1,359

219

571

17,825

6.3

1.9

1.2

1.6

Cattle on Feed Inventory on 1,000+ Capacity Feedlots by Month — Idaho, Washington, and

United States: 2019 and 2020

State May 1, 2019 April 1, 2020

May 1, 2020

Number Percent of

previous year

Percent of

previous month

(1,000 head) (1,000 head) (1,000 head) (percent) (percent)

Idaho .....................................

Washington ...........................

United States ........................

285

235

11,807

285

235

11,297

280

245

11,200

98

104

95

98

104

99

Number of Cattle on Feed Placements, Marketings, and Other Disappearance on 1,000+ Capacity

Feedlots by Month — Idaho, Washington, and United States: 2019 and 2020

State During

April 2019

During

March 2020

During April 2020

Number Percent of

previous year

Percent of

previous month

(1,000 head) (1,000 head) (1,000 head) (percent) (percent)

Idaho

Cattle placed on feed .............................

Cattle marketed ......................................

Other disappearance .............................

Washington

Cattle placed on feed .............................

Cattle marketed ......................................

Other disappearance .............................

United States

Cattle placed on feed .............................

Cattle marketed ......................................

Other disappearance .............................

31

30

1

40

28

2

1,842

1,928

60

28

37

1

33

32

1

1,557

2,010

61

26

30

1

34

23

1

1,432

1,459

70

84

100

100

85

82

50

78

76

117

93

81

100

103

72

100

92

73

115

Page 4: AGRI-FACTS · (D) 8,209.7 56.7 (D) 7,926.8 - (D) 1,168.5 - (D) 1,204.8 - Represents zero. (D) Withheld to avoid disclosing data for individual operations. Layers on Hand and Eggs

4 USDA, NASS - Northwest Regional Field Office

Prices Received for Commodities — Idaho, Oregon, Washington, and United States: April 2020

with Comparisons

Commodity Idaho Oregon

April 2019 March 2020 April 2020 April 2019 March 2020 April 2020

Wheat, all ................................... dollars/bushel

Winter ....................................... dollars/bushel

Spring ....................................... dollars/bushel

Durum ....................................... dollars/bushel

Barley, all.................................... dollars/bushel

Feed ......................................... dollars/bushel

Malting ...................................... dollars/bushel

Oats ............................................ dollars/bushel

Beans, dry edible ............................ dollars/cwt

Hay, all 1 .......................................... dollars/ton

Alfalfa.............................................. dollars/ton

Premium & Supreme Alfalfa 2 ...... dollars/ton

Other............................................... dollars/ton

Apples, fresh 3 5 .........................dollars/pound

Milk, all 4 ......................................... dollars/cwt

5.23

5.18

5.22

(D)

5.49

3.77

5.61

(NA)

25.00

155.00

155.00

170.00

160.00

(NA)

17.20

5.01

5.03

4.98

(S)

5.15

3.93

5.19

(NA)

(D)

149.00

150.00

170.00

140.00

(NA)

17.30

4.94

4.93

(D)

(S)

4.95

3.42

(D)

(NA)

(D)

159.00

160.00

170.00

140.00

(NA)

14.70

5.70

5.70

5.71

(NA)

(NA)

(NA)

(NA)

(S)

(NA)

197.00

200.00

(NA)

190.00

(NA)

20.20

6.02

6.02

(NA)

(NA)

(NA)

(NA)

(NA)

(S)

(NA)

186.00

195.00

(NA)

160.00

(NA)

20.10

5.95

5.95

(NA)

(NA)

(NA)

(NA)

(NA)

(S)

(NA)

186.00

195.00

(NA)

160.00

(NA)

17.60

Commodity Washington United States

April 2019 March 2020 April 2020 April 2019 March 2020 April 2020

Wheat, all ................................... dollars/bushel

Winter ....................................... dollars/bushel

Spring ....................................... dollars/bushel

Durum ....................................... dollars/bushel

Barley, all.................................... dollars/bushel

Feed ......................................... dollars/bushel

Malting ...................................... dollars/bushel

Oats ............................................ dollars/bushel

Beans, dry edible ............................ dollars/cwt

Hay, all 1 .......................................... dollars/ton

Alfalfa.............................................. dollars/ton

Premium & Supreme Alfalfa 2 ...... dollars/ton

Other............................................... dollars/ton

Apples, fresh 3 5 ........................dollars/pound

Milk, all 4 ......................................... dollars/cwt

5.40

5.22

5.82

(NA)

(D)

3.08

(D)

(NA)

(NA)

187.00

190.00

(NA)

180.00

0.407

18.00

5.68

5.59

6.09

(NA)

(D)

3.02

(D)

(NA)

(NA)

189.00

200.00

(NA)

165.00

(NA)

18.00

5.73

5.70

5.88

(NA)

(D)

2.81

(D)

(NA)

(NA)

188.00

195.00

(NA)

175.00

(NA)

14.50

4.93

4.86

5.03

4.85

4.80

3.39

4.92

3.01

26.10

184.00

198.00

219.00

158.00

0.381

17.70

4.86

4.84

4.82

5.46

4.89

3.55

5.08

2.96

37.00

158.00

175.00

205.00

130.00

0.577

18.00

4.84

4.88

4.68

5.26

4.64

3.16

4.73

3.10

37.20

161.00

181.00

209.00

124.00

0.577

14.40

(D) Withheld to avoid disclosing data for individual operations.

(NA) Not available.

(S) Insufficient number of reports to establish an estimate. 1 United States price includes AZ, CA, CO, ID, IL, IA, KS, KY, MI, MN, MO, MT, NE, NV, NM, NY, ND, OH, OK, OR, PA, SD, TX, UT, WA, WI, and,

WY. 2 United States price based on 5 states, which include CA, ID, NY, TX, and WI, and represents a weighted (hay purchases) average price for the

five largest milk producing States (based on the pounds of milk produced during the previous month). 3 Beginning February 2020, price reflects FOB shipping point basis. 4 Before deduction for hauling. Includes quality, quantity, and other premiums. Excludes hauling subsidies. 5 State level monthly price estimates have been discontinued.

Page 5: AGRI-FACTS · (D) 8,209.7 56.7 (D) 7,926.8 - (D) 1,168.5 - (D) 1,204.8 - Represents zero. (D) Withheld to avoid disclosing data for individual operations. Layers on Hand and Eggs

USDA, NASS - Northwest Regional Field Office 5

Number of Workers and Hours Worked — Regions and United States: January 12-18, 2020 [Excludes agricultural service workers and Alaska]

Regions and

United States

Hired

Number

of

workers

Expected to be employed Number

of hours

worked 150 days

or more

149 days

or less

(1,000) (1,000) (1,000) (hours per week)

Mountain I 1 ....................................................

Pacific 2 ..........................................................

United States .................................................

18

39

568

17

32

495

1

7

73

42.7

36.9

40.2

1 Mountain I Region includes Idaho, Montana, and Wyoming. 2 Pacific Region includes Oregon and Washington.

Gross Wage Rates by Type of Worker — Regions and United States: January 12-18, 2020 [Excludes agricultural service workers and Alaska]

Regions and

United States

Type of worker Gross wage rates for

all hired workers Field Livestock Field and livestock

combined

(dollars per hour) (dollars per hour) (dollars per hour) (dollars per hour)

Mountain I 1 ...........................................

Pacific 2 .................................................

United States ........................................

14.46

15.36

14.18

14.44

15.30

14.22

14.45

15.35

14.20

15.40

16.61

15.28

1 Mountain I Region includes Idaho, Montana, and Wyoming. 2 Pacific Region includes Oregon and Washington.

Number of Workers and Hours Worked — Regions and United States: April 12-18, 2020 [Excludes agricultural service workers and Alaska]

Regions and United States

Hired

Number of

workers

Expected to be employed Number of hours worked

150 days or more

149 days or less

(1,000) (1,000) (1,000) (hours per week)

Mountain I 1 .................................................... Pacific 2 .......................................................... United States .................................................

25 58

688

21 39

578

4 19

110

44.3 41.6

40.3

1 Mountain I Region includes Idaho, Montana, and Wyoming. 2 Pacific Region includes Oregon and Washington.

Gross Wage Rates by Type of Worker — Regions and United States: April 12-18, 2020 [Excludes agricultural service workers and Alaska]

Regions and

United States

Type of worker Gross wage rates for

all hired workers Field Livestock Field and livestock

combined

(dollars per hour) (dollars per hour) (dollars per hour) (dollars per hour)

Mountain I 1 ...........................................

Pacific 2 .................................................

United States ........................................

13.74

15.06

14.19

14.21

14.95

14.10

14.00

15.05

14.16

14.83

15.88

15.07

1 Mountain I Region includes Idaho, Montana, and Wyoming. 2 Pacific Region includes Oregon and Washington.

Page 6: AGRI-FACTS · (D) 8,209.7 56.7 (D) 7,926.8 - (D) 1,168.5 - (D) 1,204.8 - Represents zero. (D) Withheld to avoid disclosing data for individual operations. Layers on Hand and Eggs

6 USDA, NASS - Northwest Regional Field Office

Molted as Percent of All Layers — Oregon, Washington, and United States: May 1, 2019 and 2020

State Being molted Molt completed

2019 2020 2019 2020

(percent) (percent) (percent) (percent)

Oregon......................................................................

Washington ..............................................................

United States............................................................

-

4.5

2.5

-

-

3.2

-

14.0

13.1

1.5

16.0

11.4

- Represents zero.

Egg Production by Type — Oregon, Washington, and United States: April 2019 and 2020

State Total production Table eggs Hatching eggs

2019 2020 2019 2020 2019 2020

(million eggs) (million eggs) (million eggs) (million eggs) (million eggs) (million eggs)

Oregon.................................................

Washington .........................................

United States.......................................

58.7

170.0

9,378.2

56.7

173.1

9,131.6

58.7

(D)

8,209.7

56.7

(D)

7,926.8

-

(D)

1,168.5

-

(D)

1,204.8

- Represents zero.

(D) Withheld to avoid disclosing data for individual operations.

Layers on Hand and Eggs Produced — Oregon, Washington, and United States: During

April 2019 and 2020

State

Table egg layers in

flocks 30,000 and above All layers

Eggs per 100 for

all layers

2019 2020 2019 2020 2019 2020

(1,000 layers) (1,000 layers) (1,000 layers) (1,000 layers) (eggs) (eggs)

Oregon.................................................

Washington .........................................

United States.......................................

2,146

6,697

326,165

2,156

6,471

312,551

2,339

6,862

404,691

2,327

6,635

393,268

2,510

2,477

2,317

2,437

2,609

2,322

Page 7: AGRI-FACTS · (D) 8,209.7 56.7 (D) 7,926.8 - (D) 1,168.5 - (D) 1,204.8 - Represents zero. (D) Withheld to avoid disclosing data for individual operations. Layers on Hand and Eggs

USDA, NASS - Northwest Regional Field Office 7

Commodities in Cold Storage — Mountain Region, Pacific Region, and United States: April 30, 2020 with Comparisons

Commodity and region 1

Stocks in all warehouses April 30, 2020 as a percent of

April 30, 2019

March 31, 2020

April 30, 2020

April 30, 2019

March 31, 2020

(1,000 pounds) (1,000 pounds) (1,000 pounds) (percent) (percent)

Dairy products, American cheese Mountain .............................................................. Pacific .................................................................. United States ....................................................... Frozen blueberries Mountain .............................................................. Pacific .................................................................. United States ....................................................... Frozen raspberries, red Mountain ............................................................. Pacific .................................................................. United States ....................................................... Frozen vegetables, onion rings Mountain .............................................................. Pacific .................................................................. United States ....................................................... Frozen vegetables, other onions Mountain .............................................................. Pacific .................................................................. United States ....................................................... Frozen potatoes, french fries Mountain .............................................................. Pacific .................................................................. United States ....................................................... Frozen potatoes, other Mountain .............................................................. Pacific .................................................................. United States ....................................................... Frozen potatoes, total Mountain .............................................................. Pacific .................................................................. United States ....................................................... Frozen red meat, total beef Mountain .............................................................. Pacific .................................................................. United States .......................................................

55,546

111,024 782,769

245 55,597

112,147

84 38,343 46,125

3,022 512

16,500

9,742 43,055 66,088

186,150 431,315 969,089

68,334 51,509

242,123

254,484 482,824

1,211,212

15,281 74,615

430,222

52,567

116,638 776,360

190 113,947 196,198

60 31,038 36,988

1,981 813

19,690

9,136 44,267 64,348

200,622 474,609

1,077,825

56,878 52,339

231,638

257,500 526,948

1,309,463

15,434 98,673

502,319

53,135

125,781 836,163

160 99,897

175,668

86 27,289 33,815

2,832 861

21,095

10,212 49,742 71,280

197,773 421,246 978,968

51,638 50,990

217,705

249,411 472,236

1,196,673

14,082 91,508

489,999

96

113 107

65 180 157

102 71 73

94 168 128

105 116 108

106 98

101

76 99 90

98 98 99

92 123 114

101 108 108

84 88 90

143 88 91

143 106 107

112 112 111

99 89 91

91 97 94

97 90 91

91 93 98

1 Mountain Region includes: Arizona, Colorado, Idaho, Montana, Nevada, New Mexico, Utah, and Wyoming. Pacific Region includes: Alaska, California, Oregon, and Washington.

Page 8: AGRI-FACTS · (D) 8,209.7 56.7 (D) 7,926.8 - (D) 1,168.5 - (D) 1,204.8 - Represents zero. (D) Withheld to avoid disclosing data for individual operations. Layers on Hand and Eggs

8 USDA, NASS - Northwest Regional Field Office

All Cattle and Calves by County — Idaho: January 1, 2016-2020 County 2016 2017 2018 2019 2020

(head) (head) (head) (head) (head)

Ada ............................................................... Adams .......................................................... Bannock ....................................................... Bear Lake ..................................................... Benewah ...................................................... Bingham ....................................................... Blaine............................................................ Boise ............................................................. Bonner .......................................................... Bonneville ..................................................... Boundary ...................................................... Butte ............................................................. Camas .......................................................... Canyon ......................................................... Caribou ......................................................... Cassia........................................................... Clark ............................................................. Clearwater .................................................... Custer ........................................................... Elmore .......................................................... Franklin ......................................................... Fremont ........................................................ Gem .............................................................. Gooding ........................................................ Idaho ............................................................. Jefferson....................................................... Jerome.......................................................... Kootenai ....................................................... Latah ............................................................. Lemhi ............................................................ Lewis ............................................................ Lincoln .......................................................... Madison ........................................................ Minidoka ....................................................... Nez Perce..................................................... Oneida .......................................................... Owyhee ........................................................ Payette ......................................................... Power ........................................................... Shoshone ..................................................... Teton ............................................................ Twin Falls ..................................................... Valley ............................................................ Washington .................................................. Other counties.............................................. Idaho .............................................................

80,000 15,000 21,500 28,000

1,400

89,000 9,500 2,800 4,000

60,000

5,000 10,500

5,600 135,000

24,000

270,000 8,900 3,500

28,000 165,000

36,000 15,000 30,000

310,000 28,500

80,000

240,000 5,400 5,800

35,000

4,500 70,000 13,000 40,000 13,000

23,000

155,000 60,000 27,000

300

7,500 185,000

7,300 32,000

-

2,390,000

64,000 15,500 21,000 28,000

1,200

91,000 9,500 2,500 4,000

57,000

4,900 9,400 5,600

135,000 24,500

270,000

8,200 3,100

29,000 165,000

34,000 14,000 26,000

310,000 27,000

80,000

245,000 5,400 5,500

35,000

4,500 71,000 13,000 40,000 13,000

23,000

155,000 58,000 27,000

300

6,900 190,000

7,000 31,000

-

2,370,000

52,000 16,500 21,000 28,000

1,000

97,000 9,500 2,500 4,000

58,000

4,900 9,000 5,700

135,000 25,000

280,000

8,000 2,900

31,000 170,000

34,000 14,000 24,000

315,000 26,000

84,000

260,000 5,500 5,500

35,000

4,500 76,000 13,500 42,000 13,000

23,000

155,000 57,000 27,000

300

6,700 200,000

7,000 31,000

-

2,420,000

53,000 17,000 21,500 29,000

1,000

100,000 10,000

2,500 4,000

60,000

5,000 9,500 6,000

140,000 26,000

290,000

8,500 3,000

32,000 175,000

34,500 14,500 23,500

325,000 27,000

87,000

270,000 5,700 5,700

36,000

4,900 79,000 14,000 43,500 13,400

24,000

160,000 59,000 28,500

300

7,000 205,000

7,500 32,000

-

2,500,000

53,000 17,000 21,500 29,000

1,000

100,000 9,900 2,400 4,000

59,000

5,000 9,300 5,900

140,000 25,500

290,000

8,300 3,000

32,000 175,000

34,500 14,200 23,500

325,000 27,000

87,000

265,000 5,700 5,700

36,000

4,700 78,000 14,000 43,000 13,300

24,000

160,000 59,000 28,000

300

7,000 205,000

7,300 32,000

-

2,490,000

- Represents zero.

Page 9: AGRI-FACTS · (D) 8,209.7 56.7 (D) 7,926.8 - (D) 1,168.5 - (D) 1,204.8 - Represents zero. (D) Withheld to avoid disclosing data for individual operations. Layers on Hand and Eggs

USDA, NASS - Northwest Regional Field Office 9

Beef Cows by County — Idaho: January 1, 2016-2020 County 2016 2017 2018 2019 2020

(head) (head) (head) (head) (head)

Ada ............................................................... Adams .......................................................... Bannock ....................................................... Bear Lake..................................................... Benewah ...................................................... Bingham ....................................................... Blaine ........................................................... Boise ............................................................ Bonner.......................................................... Bonneville .................................................... Boundary...................................................... Butte ............................................................. Camas .......................................................... Canyon ......................................................... Caribou......................................................... Cassia .......................................................... Clark ............................................................. Clearwater.................................................... Custer ........................................................... Elmore .......................................................... Franklin ........................................................ Fremont ........................................................ Gem.............................................................. Gooding........................................................ Idaho ............................................................ Jefferson ...................................................... Jerome ......................................................... Kootenai ....................................................... Latah ............................................................ Lemhi............................................................ Lewis ............................................................ Lincoln .......................................................... Madison........................................................ Minidoka ....................................................... Nez Perce .................................................... Oneida.......................................................... Owyhee ........................................................ Payette ......................................................... Power ........................................................... Shoshone ..................................................... Teton ............................................................ Twin Falls ..................................................... Valley............................................................ Washington .................................................. Other counties ............................................. Idaho ............................................................

8,400 7,900

12,000 18,500

(D)

35,500 (D)

1,900 2,400

17,500

3,100 (D)

4,200 17,000 14,000

27,000

5,400 1,900

(D) 18,000

9,800 9,200

12,000 10,500 17,500

17,500

9,200 3,500 3,500

25,000

(D) 8,200 6,700 5,500 7,700

(D)

45,000 10,200

(D) 100

4,300

27,500 2,800

16,000

56,600

503,000

7,900 8,400

12,000 18,500

(D)

37,000 (D)

1,800 2,500

16,500

3,100 (D)

4,200 17,200 14,000

27,000

5,200 1,900

(D) 17,000

9,900 9,100

11,000 10,500 17,500

17,500

9,200 3,500 3,500

24,500

(D) 7,700 6,700 5,700 7,800

(D)

45,000 10,200

(D) 100

4,400

27,500 2,500

16,000

56,000

500,000

7,700 (D)

13,000 19,500

700

42,000 6,000 1,700 2,500

16,000

3,100 (D)

4,200 17,200 14,000

29,000

4,800 1,900

22,000 17,000

10,000

9,000 (D)

10,000 17,000

18,000

9,500 3,700 3,600

23,500

(D) 7,000 6,700 5,800 8,000

15,500 45,000 10,500

(D) 100

4,500

27,500 (D)

16,500

36,300

510,000

7,500 (D)

13,000 19,200

600

42,000 6,000 1,700 2,400

15,500

3,100 (D)

4,300 17,000 14,000

28,500

4,700 1,900

22,000 17,000

10,200

8,800 (D)

9,500 16,500

17,600

9,400 3,700 3,500

23,000

(D) 7,000 6,600 5,700 8,000

15,500 45,000 10,500

(D) 100

4,500

28,000 (D)

16,500

36,000

506,000

7,400 (D)

12,700 18,800

600

41,500 6,000 1,700 2,400

15,200

3,000 (D)

4,200 16,800 13,600

28,000

4,600 1,900

21,500 16,500

10,000

8,600 (D)

9,300 16,200

17,200

9,200 3,600 3,500

22,500

(D) 6,800 6,500 5,600 7,800

15,000 44,000 10,200

(D) 100

4,300

27,000 (D)

16,000

35,200

495,000

(D) Withheld to avoid disclosing data for individual operations.

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10 USDA, NASS - Northwest Regional Field Office

Milk Cows by County — Idaho: January 1, 2016-2020 County 2016 2017 2018 2019 2020

(head) (head) (head) (head) (head)

Ada ............................................................... Adams .......................................................... Bannock ....................................................... Bear Lake ..................................................... Benewah ...................................................... Bingham ....................................................... Blaine............................................................ Boise ............................................................. Bonner .......................................................... Bonneville ..................................................... Boundary ...................................................... Butte ............................................................. Camas .......................................................... Canyon ......................................................... Caribou ......................................................... Cassia........................................................... Clark ............................................................. Clearwater .................................................... Custer ........................................................... Elmore .......................................................... Franklin ......................................................... Fremont ........................................................ Gem .............................................................. Gooding ........................................................ Idaho ............................................................. Jefferson....................................................... Jerome.......................................................... Kootenai ....................................................... Latah ............................................................. Lemhi ............................................................ Lewis ............................................................ Lincoln .......................................................... Madison ........................................................ Minidoka ....................................................... Nez Perce..................................................... Oneida .......................................................... Owyhee ........................................................ Payette ......................................................... Power ........................................................... Shoshone ..................................................... Teton ............................................................ Twin Falls ..................................................... Valley ............................................................ Washington .................................................. Other counties.............................................. Idaho .............................................................

18,300 (D)

1,300 1,100

(D)

7,500 (D)

- 100 700

100 (D)

- 40,000

900

60,000 -

(D) (D)

24,500

10,700 700

2,400 170,000

(D)

12,100 70,000

(D) 200 (D)

(D)

32,000 200

14,200 (D)

(D)

25,000 14,500

(D) (D)

300

78,000 (D) (D)

2,200

587,000

18,000 (D)

1,100 1,200

(D)

7,300 (D)

- 100 600

100 (D)

- 41,000

1,000

62,000 -

(D) (D)

26,000

10,000 800

2,600 170,000

(D)

12,400 70,000

(D) 200 (D)

(D)

33,500 200

14,700 (D)

(D)

25,000 14,500

(D) (D)

300

85,000 (D) (D)

2,400

600,000

17,500 (D)

900 1,200

(D)

6,900 (D)

- 100 500

(D) (D)

- 41,500

1,000

64,000 -

(D) 800

27,000

8,900 800 (D)

165,000 400

12,400 70,000

(D) 200 (D)

(D)

34,000 200

14,900 (D)

(D)

24,500 14,000

(D) (D)

300

89,000 (D) (D)

4,000

600,000

18,000 -

900 1,200

(D)

7,000 - -

(D) 500

(D) (D)

- 43,000

1,000

67,000 -

(D) 800

28,500

9,000 800 (D)

165,000 400

13,000 71,000

(D) 200 (D)

-

36,000 200

15,500 (D)

-

25,000 14,500

(D) (D)

300

91,000 -

(D)

4,200

614,000

19,000 -

900 1,200

(D)

7,500 - -

(D) 500

(D) (D)

- 44,000

1,000

68,000 -

(D) 800

29,000

9,500 800 (D)

170,000 400

13,700 74,000

(D) 200 (D)

-

37,500 200

16,000 (D)

-

26,000 15,000

(D) (D)

300

95,000 -

(D)

4,500

635,000

- Represents zero. (D) Withheld to avoid disclosing data for individual operations.

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USDA, NASS - Northwest Regional Field Office 11

All Cattle and Calves by County — Oregon: January 1, 2016-2020 County 2016 2017 2018 2019 2020

(head) (head) (head) (head) (head)

Baker ............................................................ Benton .......................................................... Clackamas ................................................... Clatsop ......................................................... Columbia ...................................................... Coos ............................................................. Crook ............................................................ Curry............................................................. Deschutes .................................................... Douglas ........................................................ Gilliam .......................................................... Grant ............................................................ Harney.......................................................... Hood River ................................................... Jackson ........................................................ Jefferson ...................................................... Josephine..................................................... Klamath ........................................................ Lake.............................................................. Lane ............................................................. Lincoln .......................................................... Linn............................................................... Malheur ........................................................ Marion .......................................................... Morrow ......................................................... Multnomah ................................................... Polk .............................................................. Sherman ...................................................... Tillamook...................................................... Umatilla ........................................................ Union ............................................................ Wallowa........................................................ Wasco .......................................................... Washington .................................................. Wheeler ........................................................ Yamhill ......................................................... Other counties ............................................. Oregon .........................................................

76,000 12,500 18,000

4,100 7,500

27,000 52,000

9,800 13,400 59,000

11,300 36,000

105,000 1,200

19,500

20,000 5,700

75,000 85,000 25,500

3,400

26,000 175,000

33,000 155,000

1,600

14,500 4,100

46,000 60,000

26,500 37,000 20,000

6,400 17,000 21,000

-

1,310,000

78,000 11,500 17,000

4,200 6,500

27,500 51,000

9,400 14,000 60,000

11,400 37,000

105,000 1,100

21,000

19,500 5,700

76,000 87,000 27,000

3,200

26,000 175,000

33,000 155,000

1,500

14,000 3,900

46,500 61,000

26,500 37,500 21,500

6,100 17,000 22,500

-

1,320,000

77,000 9,000

15,000 4,100 5,000

26,000 48,000

8,500 14,000 59,000

11,000 36,000

100,000 1,000

21,000

17,500 5,500

73,000 86,000 27,000

3,000

25,000 165,000

30,000 155,000

1,300

13,500 3,500

45,000 58,000

25,000 36,500 22,000

5,600 15,500 22,500

-

1,270,000

79,000 9,000

15,500 4,300 5,000

27,000 49,000

8,800 14,500 61,000

11,000 37,500

100,000 1,000

21,000

18,000 5,800

75,000 91,000 28,000

3,200

26,000 170,000

31,000 160,000

1,400

14,000 3,500

47,000 60,000

26,000 38,000 23,000

5,800 16,200 23,500

-

1,310,000

78,000 8,500

15,200 4,100 4,900

26,500 49,000

8,500 14,300 61,000

11,000 36,000

100,000 900

21,500

17,400 5,500

73,000 88,000 27,000

3,100

25,000 165,000

30,500 155,000

1,300

13,500 3,500

46,000 58,000

25,500 37,500 22,000

5,600 15,700 22,500

-

1,280,000

- Represents zero.

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12 USDA, NASS - Northwest Regional Field Office

Beef Cows by County — Oregon: January 1, 2016-2020 County 2016 2017 2018 2019 2020

(head) (head) (head) (head) (head)

Baker ............................................................ Benton .......................................................... Clackamas ................................................... Clatsop ......................................................... Columbia ...................................................... Coos ............................................................. Crook ............................................................ Curry ............................................................. Deschutes .................................................... Douglas ........................................................ Gilliam........................................................... Grant ............................................................. Harney .......................................................... Hood River ................................................... Jackson ........................................................ Jefferson....................................................... Josephine ..................................................... Klamath ........................................................ Lake .............................................................. Lane .............................................................. Lincoln .......................................................... Linn ............................................................... Malheur ........................................................ Marion........................................................... Morrow.......................................................... Multnomah ................................................... Polk ............................................................... Sherman ....................................................... Tillamook ...................................................... Umatilla......................................................... Union ............................................................ Wallowa ........................................................ Wasco........................................................... Washington .................................................. Wheeler ........................................................ Yamhill .......................................................... Other counties.............................................. Oregon..........................................................

43,500 2,700 7,800

(D) 3,300

8,400

26,000 (D)

7,500 25,500

(D)

21,000 66,000

(D) 11,300

9,600 2,000

30,000 45,000

8,800

1,900 8,000

71,000 3,900

14,300

(D) 2,400 2,400 1,100

22,000

16,500 21,000 12,000

1,800 10,800

3,100

13,400

524,000

46,500 2,900 7,500

(D) 3,000

8,300

27,500 (D)

8,100 27,000

(D)

21,500 69,000

(D) 12,200

9,500 2,000

30,000 47,500

9,000

1,900 8,200

76,000 3,900

14,600

(D) 2,400 2,400 1,100

23,000

17,000 21,500 13,500

1,800 10,600

3,100

13,500

546,000

46,500 3,000 6,900 1,500 2,500

7,700

27,500 3,500

(D) 27,000

6,500

21,000 68,000

(D) 12,400

(D) (D)

28,500 47,500

8,700

1,700 7,800

75,000 3,800

14,000

900 2,300 2,300 1,000

23,000

16,500 21,500 13,800

1,700 9,600 2,900

19,500

536,000

46,500 3,000 6,900 1,400 2,500

7,600

27,500 3,500

(D) 27,000

6,500

21,000 68,000

(D) 12,400

(D) (D)

28,500 47,500

8,700

1,700 7,700

75,000 3,700

14,000

900 2,300 2,300 1,000

23,000

16,500 21,000 13,800

1,700 9,600 2,900

19,400

535,000

46,500 3,000 6,800 1,400 2,500

7,600

27,500 3,500

(D) 26,500

6,500

21,000 68,000

(D) 12,300

(D) (D)

28,000 47,000

8,600

1,700 7,700

75,000 3,800

14,000

800 2,300 2,300 1,000

23,000

16,300 21,000 13,800

1,700 9,600 2,900

19,400

533,000

(D) Withheld to avoid disclosing data for individual operations.

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USDA, NASS - Northwest Regional Field Office 13

Milk Cows by County — Oregon: January 1, 2016-2020 County 2016 2017 2018 2019 2020

(head) (head) (head) (head) (head)

Baker ............................................................ Benton .......................................................... Clackamas ................................................... Clatsop ......................................................... Columbia ...................................................... Coos ............................................................. Crook ............................................................ Curry............................................................. Deschutes .................................................... Douglas ........................................................ Gilliam .......................................................... Grant ............................................................ Harney.......................................................... Hood River ................................................... Jackson ........................................................ Jefferson ...................................................... Josephine..................................................... Klamath ........................................................ Lake.............................................................. Lane ............................................................. Lincoln .......................................................... Linn............................................................... Malheur ........................................................ Marion .......................................................... Morrow ......................................................... Multnomah ................................................... Polk .............................................................. Sherman ...................................................... Tillamook...................................................... Umatilla ........................................................ Union ............................................................ Wallowa........................................................ Wasco .......................................................... Washington .................................................. Wheeler ........................................................ Yamhill ......................................................... Other counties ............................................. Oregon .........................................................

(D) 1,800 1,600

(D) (D)

3,500

(D) (D)

300 200

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

200

300 1,300 5,900

(D) 4,000

(D)

4,000 3,200

13,000 43,500

(D)

5,200 -

25,500 1,300

(D) (D) (D)

1,500 (D)

8,000

1,700

126,000

(D) 1,800 1,400

(D) (D)

3,500

(D) (D)

300 200

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

200

300 1,200 6,200

(D) 4,100

(D)

3,900 3,300

12,200 43,000

(D)

5,100 -

25,000 1,000

(D) (D) (D)

1,300 (D)

8,300

1,700

124,000

(D) 1,800 1,200 1,400

(D)

3,500 (D) (D) (D)

200

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

200

(D) (D)

6,500 (D)

4,200

(D) 3,900 3,500

11,400 43,500

(D)

5,000 -

25,000 800

(D) (D) (D)

1,200 (D)

8,500

2,200

124,000

(D) 1,800 1,200 1,400

(D)

3,700 (D)

- (D)

200

- (D) (D)

- 200

(D) (D)

6,700 (D)

4,200

- 3,900 3,600

11,500 44,000

(D)

5,000 -

25,000 800

(D) (D) (D)

1,200 -

8,500

2,100

125,000

(D) 1,800 1,200 1,400

(D)

3,800 (D)

- (D)

200

- (D) (D)

- 200

(D) (D)

6,800 (D)

4,300

- 4,000 3,600

11,600 45,000

(D)

5,200 -

25,000 800

(D) (D) (D)

1,200 -

8,800

2,100

127,000

- Represents zero. (D) Withheld to avoid disclosing data for individual operations.

Page 14: AGRI-FACTS · (D) 8,209.7 56.7 (D) 7,926.8 - (D) 1,168.5 - (D) 1,204.8 - Represents zero. (D) Withheld to avoid disclosing data for individual operations. Layers on Hand and Eggs

14 USDA, NASS - Northwest Regional Field Office

All Cattle and Calves by County — Washington: January 1, 2016-2020 County 2016 2017 2018 2019 2020

(head) (head) (head) (head) (head)

Adams .......................................................... Asotin............................................................ Benton .......................................................... Chelan .......................................................... Clallam.......................................................... Clark ............................................................. Columbia ...................................................... Cowlitz .......................................................... Douglas ........................................................ Ferry ............................................................. Franklin ......................................................... Garfield ......................................................... Grant ............................................................. Grays Harbor................................................ Island ............................................................ Jefferson....................................................... King............................................................... Kitsap............................................................ Kittitas ........................................................... Klickitat ......................................................... Lewis ............................................................ Lincoln .......................................................... Mason ........................................................... Okanogan ..................................................... Pacific ........................................................... Pend Oreille ................................................. Pierce ........................................................... San Juan ...................................................... Skagit............................................................ Skamania ..................................................... Snohomish ................................................... Spokane ....................................................... Stevens ........................................................ Thurston ....................................................... Wahkiakum .................................................. Walla Walla .................................................. Whatcom ...................................................... Whitman ....................................................... Yakima.......................................................... Other counties.............................................. Washington ..................................................

47,000 10,000 81,000

500 4,000

15,400

4,700 3,600 9,000 4,400

84,000

8,800 170,000

7,500 5,600

1,800

20,000 1,300

24,500 19,500

27,000 16,300

2,100 37,500

6,200

3,700 11,100

1,700 30,000

500

28,000 19,000 20,000 17,200

2,400

55,000 85,000 19,700

245,000

-

1,150,000

47,000 10,000 80,000

500 3,700

15,000

4,300 3,600 9,500 4,500

82,000

9,000 175,000

8,000 5,600

1,700

19,500 1,200

25,500 20,000

27,500 16,800

2,000 38,500

6,300

4,000 11,000

1,700 29,500

500

30,000 19,000 20,000 17,500

2,400

54,000 84,000 19,700

240,000

-

1,150,000

47,500 10,000 79,000

400 3,400

15,000

4,000 3,600

10,300 4,600

80,000

9,400 180,000

8,500 5,500

1,500

19,000 1,200

27,000 20,500

28,500 17,500

2,000 39,500

6,500

4,300 11,000

1,700 29,500

500

31,500 19,000 20,000 18,000

2,400

54,000 84,000 19,700

240,000

-

1,160,000

48,500 10,100 82,000

400 3,500

15,500

4,000 3,700

10,500 4,700

81,000

9,500 180,000

8,700 5,600

1,600

19,300 1,200

27,500 21,000

29,000 18,000

2,100 40,500

6,500

4,400 11,500

1,700 30,000

500

32,000 19,000 20,500 18,500

2,500

55,000 85,000 20,000

245,000

-

1,180,000

49,000 10,300 82,000

400 3,500

15,500

4,100 3,700

10,700 4,800

83,000

9,800 185,000

8,700 5,700

1,600

19,600 1,200

28,000 21,000

29,500 18,200

2,100 41,000

6,900

4,500 11,400

1,800 30,500

500

32,500 19,500 21,000 19,000

2,500

55,000 86,000 20,500

250,000

-

1,200,000

- Represents zero.

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USDA, NASS - Northwest Regional Field Office 15

Milk Cows by County — Washington: January 1, 2016-2020 County 2016 2017 2018 2019 2020

(head) (head) (head) (head) (head)

Adams .......................................................... Asotin ........................................................... Benton .......................................................... Chelan .......................................................... Clallam ......................................................... Clark ............................................................. Columbia ...................................................... Cowlitz.......................................................... Douglas ........................................................ Ferry ............................................................. Franklin ........................................................ Garfield......................................................... Grant ............................................................ Grays Harbor ............................................... Island ............................................................ Jefferson ...................................................... King .............................................................. Kitsap ........................................................... Kittitas .......................................................... Klickitat ......................................................... Lewis ............................................................ Lincoln .......................................................... Mason .......................................................... Okanogan .................................................... Pacific ........................................................... Pend Oreille ................................................. Pierce ........................................................... San Juan ...................................................... Skagit ........................................................... Skamania ..................................................... Snohomish ................................................... Spokane ....................................................... Stevens ........................................................ Thurston ....................................................... Wahkiakum .................................................. Walla Walla .................................................. Whatcom ...................................................... Whitman ....................................................... Yakima ......................................................... Other counties ............................................. Washington ..................................................

7,900 -

(D) -

(D)

3,500 -

(D) - -

23,500 -

27,500 1,600

(D)

100 8,200

(D) (D)

1,200

7,000 (D) (D) (D)

1,500

- 700 (D)

14,500 (D)

12,500

1,300 500

5,400 300

(D)

46,500 300

105,000

8,000

277,000

8,000 -

(D) -

(D)

3,400 -

(D) - -

23,000 -

27,000 1,600

(D)

100 8,000

(D) (D)

1,200

7,000 (D) (D) (D)

1,500

- 500 (D)

14,500 (D)

12,700

1,300 500

5,300 300

(D)

46,000 300

105,000

7,800

275,000

8,300 -

6,400 (D) (D)

3,400

- (D) (D)

-

22,500 -

26,500 1,800

(D)

(D) 8,000

(D) 100

1,300

7,300 (D) (D) (D)

1,500

(D) 400 (D)

14,700 (D)

13,000

1,500 500

5,300 200

(D)

45,500 (D)

105,000

1,800

275,000

8,500 -

6,500 (D) (D)

3,500

- (D) (D)

-

23,500 -

27,500 1,800

(D)

- 8,200

(D) 100

1,400

7,500 - -

(D) 1,600

(D)

400 (D)

15,000 -

14,000 1,500

500 5,600

100

(D) 46,000

(D) 105,000

1,800

280,000

8,500 -

6,600 (D) (D)

3,500

- (D) (D)

-

23,500 -

28,000 1,800

(D)

- 8,200

(D) 100

1,300

7,500 - -

(D) 1,600

(D)

400 (D)

15,500 -

14,000 1,500

500 5,600

100

(D) 47,000

(D) 105,000

1,800

282,000

- Represents zero. (D) Withheld to avoid disclosing data for individual operations.

Page 16: AGRI-FACTS · (D) 8,209.7 56.7 (D) 7,926.8 - (D) 1,168.5 - (D) 1,204.8 - Represents zero. (D) Withheld to avoid disclosing data for individual operations. Layers on Hand and Eggs

16 USDA, NASS - Northwest Regional Field Office

Apple, Commercial Bearing Acreage, Yield, Production, Price, and Value — Oregon, Washington, and United States: 2017 - 2019

State Bearing acreage Yield per acre Total

production Utilized

production Price

per pound Value of utilized

production

(acres) (pounds) (million pounds) (million pounds) (dollars) (1,000 dollars)

Oregon 2017.................................... 2018.................................... 2019.................................... Washington 2017.................................... 2018.................................... 2019.................................... United States 2017.................................... 2018.................................... 2019....................................

5,000 5,000 5,000

165,000 170,000 172,000

328,200 290,600 293,700

35,000 34,000 30,000

45,500 39,400 44,200

35,200 35,200 37,500

175.2 170.0 150.0

7,500.0 6,700.0 7,600.0

11,553.7 10,240.0 11,018.0

175.0 169.0 148.0

7,200.0 6,365.0 7,220.0

11,209.9 9,873.8

10,627.8

0.221 0.327 0.262

0.338 0.336 0.271

0.321 0.299 0.258

38,674 55,180 38,746

2,430,353 2,140,650 1,958,900

3,601,447 2,954,219 2,746,225

See footnote(s) at end of table. --continued

Apple, Commercial Fresh and Processed Utilization, Price, and Value — Oregon, Washington, and United States: 2017 - 2019 (continued) [Equivalent packinghouse door returns for California, Michigan, New York, and Washington: price at point of first sale for all other States.]

State Utilized production Price per pound Value of production

Fresh Processed Fresh Processed Fresh Processed

(million pounds) (million pounds) (dollars) (dollars) (1,000 dollars) (1,000 dollars)

Oregon 2017.................................... 2018.................................... 2019.................................... Washington 2017.................................... 2018.................................... 2019.................................... United States 2017.................................... 2018.................................... 2019....................................

148.0

(D) 119.0

5,650.0 5,025.0 5,700.0

7,815.8 6,826.6 7,430.2

27.0

(D) 29.0

1,550.0 1,340.0 1,520.0

3,394.1 3,047.2 3,197.6

0.250

(D) 0.310

0.400 0.404 0.325

0.407 0.387 0.327

124.00

(D) 128.00

220.00 165.00 140.00

248.00 207.00 199.00

37,000

(D) 36,890

2,260,000 2,030,100 1,852,500

3,180,709 2,638,958 2,427,909

1,674

(D) 1,856

170,353 110,550 106,400

420,738 315,261 318,316

(D) Withheld to avoid disclosing data for individual operations.

Page 17: AGRI-FACTS · (D) 8,209.7 56.7 (D) 7,926.8 - (D) 1,168.5 - (D) 1,204.8 - Represents zero. (D) Withheld to avoid disclosing data for individual operations. Layers on Hand and Eggs

USDA, NASS - Northwest Regional Field Office 17

Apple, Commercial Harvested Not Sold Production — Oregon, Washington, and United States: 2017-2019

State Harvested not sold

2017 2018 2019

(million pounds) (million pounds) (million pounds)

Oregon ..................................................................... Washington .............................................................. United States ...........................................................

0.2 300.0

343.8

1.0 335.0

366.2

2.0 380.0

390.2

Cherry, Sweet Bearing Acreage, Yield, Production, Price, and Value — Oregon, Washington, and United States: 2017 - 2019

State Bearing acreage Yield per acre Total

production Utilized

production Price

per ton Value of utilized

production

(acres) (tons) (tons) (tons) (dollars) (1,000 dollars)

Oregon 2017 .................................... 2018 .................................... 2019 .................................... Washington 2017 .................................... 2018 .................................... 2019 .................................... United States 2017 .................................... 2018 .................................... 2019 ....................................

13,000 13,000 13,000

40,000 40,000 40,000

92,500 85,000 87,000

4.30 4.20 4.40

6.56 6.12 5.97

4.73 4.05 4.07

55,900 54,600 57,200

262,550 245,000 239,000

437,550 344,400 354,300

55,400 54,100 56,630

261,600 243,800 237,810

433,020 342,070 348,770

1,270.00 1,310.00 1,330.00

1,810.00 1,750.00 1,660.00

2,060.00 1,860.00 1,890.00

70,210 70,835 75,221

474,579 426,470 393,577

891,652 637,700 659,781

5,550 5,420

6,450

5,900

7,650

5,930

7,320

7,500

6,700

7,600

4,000

4,500

5,000

5,500

6,000

6,500

7,000

7,500

8,000

2010 2011 2012 2013 2014 2015 2016 2017 2018 2019

Mill

ion

Po

un

ds

Commercial Apple Production–Washington: 2010-2019

Page 18: AGRI-FACTS · (D) 8,209.7 56.7 (D) 7,926.8 - (D) 1,168.5 - (D) 1,204.8 - Represents zero. (D) Withheld to avoid disclosing data for individual operations. Layers on Hand and Eggs

18 USDA, NASS - Northwest Regional Field Office

Cherry, Sweet Fresh and Processed Utilization, Price, and Value — Oregon, Washington, and United States: 2017 - 2019

State Utilized production Price per ton Value of production

Fresh Processed Fresh Processed Fresh Processed

(tons) (tons) (dollars) (dollars) (1,000 dollars) (1,000 dollars)

Oregon 2017.................................... 2018.................................... 2019.................................... Washington 2017.................................... 2018.................................... 2019.................................... United States 2017.................................... 2018.................................... 2019....................................

38,000 41,000 45,190

223,000 214,400 191,200

348,920 291,060 286,360

17,400 13,100 11,440

38,600 29,400 46,610

84,100 51,010 62,410

1,550.00 1,520.00 1,500.00

2,020.00 1,900.00 1,900.00

2,400.00 2,080.00 2,160.00

650.00 650.00 650.00

625.00 650.00 650.00

652.00 658.00 654.00

58,900 62,320 67,785

450,460 407,360 363,280

836,842 604,118 618,952

11,310

8,515 7,436

24,119 19,110 30,297

54,810 33,582 40,829

Cherry, Tart Bearing Acreage, Yield, Production, Price, and Value — Washington, and United States: 2017 - 2019

State Bearing acreage Yield per acre Total

production Utilized

production Price

per pound Value of utilized

production

(acres) (pounds) (million pounds) (million pounds) (dollars) (1,000 dollars)

Washington 2017.................................... 2018.................................... 2019.................................... United States 2017.................................... 2018.................................... 2019....................................

2,500

(D) 2,300

35,300 35,200 34,100

10,000

(D) 10,700

7,350 8,470 7,680

25.0

(D) 24.6

259.5 298.3 262.0

24.0

(D) 23.1

254.1 288.8 236.3

0.210

(D) 0.211

0.224 0.196 0.151

5,030

(D) 4,880

56,868 56,635 35,747

(D) Withheld to avoid disclosing data for individual operations.

Cherry Harvested Not Sold Production by Crop—Oregon , Washington, and United States: 2017 - 2019

State

Harvested not Sold

Sweet cherries Tart cherries

2017 2018 2019 2017 2018 2019

(tons) (tons) (tons) (million pounds) (million pounds) (million pounds)

Oregon 1 .................. Washington .............. United States............

500 950

4,530

500 1,200

2,330

570 1,190

5,530

(NA) 1.0

5.4

(NA) (D)

9.5

(NA) 1.5

25.7

(D) Withheld to avoid disclosing data for individual operations. (NA) Not available. 1 Tart cherry estimates discontinued in 2016.

Page 19: AGRI-FACTS · (D) 8,209.7 56.7 (D) 7,926.8 - (D) 1,168.5 - (D) 1,204.8 - Represents zero. (D) Withheld to avoid disclosing data for individual operations. Layers on Hand and Eggs

USDA, NASS - Northwest Regional Field Office 19

Grape Bearing Acreage, Yield, Production, Price, and Value — Washington and United States: 2017 - 2019

State Bearing acreage Yield per acre Total

production Utilized

production Price

per ton Value of utilized

production

(acres) (tons) (tons) (tons) (dollars) (1,000 dollars)

Washington 2017 .................................... 2018 .................................... 2019 .................................... Juice 2017 .............................. 2018 .............................. 2019 .............................. Wine 2017 .............................. 2018 .............................. 2019 .............................. United States 2017 .................................... 2018 .................................... 2019 ....................................

73,000 74,000 75,000

20,000 19,000 19,000

53,000 55,000 56,000

997,800 937,000 935,000

5.74 6.30 5.21

9.50 10.80 10.00

4.32 4.74 3.59

7.40 8.11 7.35

419,000 466,000 391,000

190,000 205,000 190,000

229,000 261,000 201,000

7,383,850 7,596,000 6,871,000

419,000 466,000 391,000

190,000 205,000 190,000

229,000 261,000 201,000

7,383,160 7,596,000 6,791,000

761.00 774.00 788.00

220.00 220.00 225.00

1,210.00 1,210.00 1,320.00

881.00 872.00 842.00

318,890 360,910 308,070

41,800 45,100 42,750

277,090 315,810 265,320

6,507,849 6,621,258 5,719,758

All Pear Bearing Acreage, Yield, Production, Price, and Value — Oregon, Washington, and United States: 2017 - 2019

State Bearing acreage Yield per acre Total

production Utilized

production Price

per ton Value of utilized

production

(acres) (tons) (tons) (tons) (dollars) (1,000 dollars)

Oregon 2017 .................................... 2018 .................................... 2019 .................................... Washington 2017 .................................... 2018 .................................... 2019 .................................... United States 2017 .................................... 2018 .................................... 2019 ....................................

14,900 15,000 15,000

20,800 20,600 20,400

46,200 46,300 45,400

15.20 16.40 15.70

15.20 19.30 16.20

16.00 17.40 16.10

226,050 246,000 236,000

316,400 398,000 330,000

737,450 805,500 729,000

224,950 245,260 234,110

314,400 394,000 329,340

731,350 800,260 724,820

785.00 575.00 465.00

784.00 535.00 440.00

710.00 536.00 435.00

176,627 140,966 108,774

246,462 210,630 145,054

519,290 428,940 315,145

Page 20: AGRI-FACTS · (D) 8,209.7 56.7 (D) 7,926.8 - (D) 1,168.5 - (D) 1,204.8 - Represents zero. (D) Withheld to avoid disclosing data for individual operations. Layers on Hand and Eggs

20 USDA, NASS - Northwest Regional Field Office

All Pear Fresh and Processed Utilization, Price, and Value — Oregon, Washington, and United States: 2017 - 2019

State Utilized production Price per ton Value of production

Fresh Processed Fresh Processed Fresh Processed

(tons) (tons) (dollars) (dollars) (1,000 dollars) (1,000 dollars)

Oregon 2017.................................... 2018.................................... 2019.................................... Washington 2017.................................... 2018.................................... 2019.................................... United States 2017.................................... 2018.................................... 2019....................................

192,650 209,100 192,100

228,500 294,500 262,350

486,150 557,700 523,890

32,300 36,160 42,010

85,900 99,500 66,990

245,200 242,560 200,930

852.00 610.00 505.00

950.00 600.00 462.00

875.00 610.00 466.00

388.00 371.00 280.00

341.00 341.00 356.00

384.00 367.00 354.00

164,084 127,551

97,011

217,134 176,700 121,206

425,216 340,011 244,049

12,543 13,415 11,763

29,328 33,930 23,848

94,074 88,929 71,096

(NA) Not available.

Pear Harvested Not Sold Production — Oregon, Washington, and United States: 2017-2019 [Bartlett pear and other pear estimates discontinued in 2018.]

State Harvested not sold

2017 2018 2019

(tons) (tons) (tons)

Oregon .................................................................... Washington ............................................................ United States .........................................................

1,100 2,000

6,100

740 4,000

5,240

1,890 660

4,180

-

50,000

100,000

150,000

200,000

250,000

300,000

350,000

400,000

450,000

500,000

2010 2011 2012 2013 2014 2015 2016 2017 2018 2019

Ton

sAll Pear Production - Oregon and Washington 2010-2019

Oregon Washington

Page 21: AGRI-FACTS · (D) 8,209.7 56.7 (D) 7,926.8 - (D) 1,168.5 - (D) 1,204.8 - Represents zero. (D) Withheld to avoid disclosing data for individual operations. Layers on Hand and Eggs

USDA, NASS - Northwest Regional Field Office 21

Berry Area Harvested, Yield, Production, Utilization, Price, and Value by Crop — Oregon, Washington, and United States: 2017-2019

Crop, State, and year

Area harvested Yield per acre 1 Production Utilization

Total Utilized Fresh Processed

(acres) (pounds) (1,000 pounds) (1,000 pounds) (1,000 pounds) (1,000 pounds)

Blueberry, cultivated Oregon 2017 .................................... 2018 .................................... 2019 .................................... Washington 2017 .................................... 2018 .................................... 2019 .................................... United States 2017 .................................... 2018 .................................... 2019 .................................... Raspberries, all 2 Washington 2017 .................................... 2018 .................................... 2019 .................................... United States 2017 .................................... 2018 .................................... 2019 ....................................

11,700 13,500 13,300

13,700 14,400 16,700

83,900 89,200

102,700

9,710 9,500 9,200

19,960 16,900 16,700

9,310 10,200 11,700

8,550 9,470 9,760

6,110 6,300 6,630

8,010 7,980 8,970

11,300 12,900 13,500

110,780 137,500 155,500

117,380 136,500 163,000

518,540 562,300 680,700

78,050 75,800 82,500

226,730 218,800 226,000

108,900 134,750 154,100

117,150 136,100 162,830

512,740 555,620 673,050

77,740 75,040 82,340

225,690 217,320 225,840

54,950 60,500 69,040

36,350 41,910 50,530

304,110 305,460 373,010

3,640 (D) (D)

133,010 132,340 131,460

53,950 74,250 85,060

80,800 94,190

112,300

208,630 250,160 300,040

74,100 (D) (D)

92,680 84,980 94,380

See footnote(s) at end of table. --continued

Berry Area Harvested, Yield, Production, Utilization, Price, and Value by Crop — Oregon, Washington, and United States: 2017-2019 (continued)

Crop, State, and year

Price per pound Value of production

Fresh Processed All Fresh Processed Total

(dollars) (dollars) (dollars) (1,000 dollars) (1,000 dollars) (1,000 dollars)

Blueberry, Cultivated Oregon 2017 .................................... 2018 .................................... 2019 .................................... Washington 2017 .................................... 2018 .................................... 2019 .................................... United States 2017 .................................... 2018 .................................... 2019 .................................... Raspberries, all 2 Washington 2017 .................................... 2018 .................................... 2019 .................................... United States 2017 .................................... 2018 .................................... 2019 ....................................

2.000 2.030 1.230

1.560 1.860 1.810

2.190 2.050 2.030

1.620 (D) (D)

2.940 2.390 2.900

0.700 0.780 0.580

0.720 0.650 0.550

0.720 0.684 0.502

0.704 (D) (D)

1.110 0.603 0.542

1.360 1.340 0.871

0.981 1.020 0.941

1.590 1.430 1.350

0.747 0.479 0.559

2.190 1.690 1.910

109,900 122,815

84,919

56,706 77,953 91,459

665,691 626,289 758,122

5,898 (D) (D)

390,656 315,794 381,205

37,765 57,915 49,335

58,176 61,224 61,765

150,217 171,006 150,555

52,180 (D) (D)

103,289

51,207 51,109

147,665 180,730 134,254

114,882 139,177 153,224

815,908 797,295 908,677

58,078 35,913 46,011

493,945 367,001 432,314

(D) Withheld to avoid disclosing data for individual operations. 1 2017 yield is based on utilized production. 2 Red and Black Raspberries discontinued in 2018.

Page 22: AGRI-FACTS · (D) 8,209.7 56.7 (D) 7,926.8 - (D) 1,168.5 - (D) 1,204.8 - Represents zero. (D) Withheld to avoid disclosing data for individual operations. Layers on Hand and Eggs

22 USDA, NASS - Northwest Regional Field Office

68,100 69,990

74,100

80,110 78,050

75,800

82,500

45,000

50,000

55,000

60,000

65,000

70,000

75,000

80,000

85,000

2013 2014 2015 2016 2017 2018 2019

1,0

00

po

un

ds

All Raspberry Production-Washington: 2013-2019

-

20,000

40,000

60,000

80,000

100,000

120,000

140,000

160,000

180,000

2010 2011 2012 2013 2014 2015 2016 2017 2018 2019

1,00

0 p

ou

nd

s

Blueberry Production-Oregon and Washington: 2010-2019

Oregon Washington

Page 23: AGRI-FACTS · (D) 8,209.7 56.7 (D) 7,926.8 - (D) 1,168.5 - (D) 1,204.8 - Represents zero. (D) Withheld to avoid disclosing data for individual operations. Layers on Hand and Eggs

USDA, NASS - Northwest Regional Field Office 23

All Strawberries Area Planted and Harvested, Yield, Utilized Production, Price, and Value — Oregon, Washington, and United States: 2017-2019

State Area

planted Area

harvested Yield

per acre Utilized

production Price

per cwt Value of utilized

production

(acres) (acres) (cwt) (1,000 cwt) (dollars) (1,000 dollars)

Oregon 1 2017 .................................... 2018 .................................... 2019 .................................... Washington 1 2017 .................................... 2018 .................................... 2019 .................................... United States 2017 .................................... 2018 .................................... 2019 ....................................

2,400 1,300 (NA)

1,300 900

(NA)

54,700 49,300 45,400

2,200 1,100 (NA)

1,200 820

(NA)

53,200 48,720 44,800

91.0

100.0 (NA)

95.0 105.0 (NA)

511.4 535.7 503.0

200.2 109.3 (NA)

112.9 85.8 (NA)

27,174.7 26,098.7 22,500.0

110.00 107.00

(NA)

107.00 107.00

(NA)

107.00 92.60

112.00

22,048 11,687

(NA)

12,025 9,167 (NA)

2,895,813 2,416,285 2,528,520

(NA) Not available. 1 Estimates discontinued in 2019.

Strawberry Fresh and Processed Utilization, Price, and Value — Oregon, Washington, and United States: 2017 - 2019

State Utilized production Price per cwt Value of production

Fresh Processed Fresh Processed Fresh Processed

(1,000 cwt) (1,000 cwt) (dollars) (dollars) (1,000 dollars) (1,000 dollars)

Oregon 1 2017 .................................... 2018 .................................... 2019 .................................... Washington 1 2017 .................................... 2018 .................................... 2019 .................................... United States 2017 .................................... 2018 .................................... 2019 ....................................

32.8

(D) (NA)

(D) (D)

(NA)

21,372.0 20,479.4 17,530.0

167.4

(D) (NA)

(D) (D)

(NA)

5,802.7 5,619.3 4,970.0

195.00

(D) (NA)

(D) (D)

(NA)

125.00 106.00 129.00

93.50

(D) (NA)

(D) (D)

(NA)

37.20 43.60 52.80

6,396

(D) (NA)

(D) (D)

(NA)

2,680,189 2,171,428 2,265,910

15,652

(D) (NA)

(D) (D)

(NA)

215,624 244,857 262,610

(D) Withheld to avoid disclosing data for individual operations. (NA) Not available. 1 Estimates discontinued in 2019.

Page 24: AGRI-FACTS · (D) 8,209.7 56.7 (D) 7,926.8 - (D) 1,168.5 - (D) 1,204.8 - Represents zero. (D) Withheld to avoid disclosing data for individual operations. Layers on Hand and Eggs

24 USDA, NASS - Northwest Regional Field Office

Berries, Cultivated Harvested Not Sold Production — Oregon, Washington, and United States: 2017-2019

State Harvested not sold

2017 2018 2019

(1,000 pounds) (1,000 pounds) (1,000 pounds)

Blueberries Oregon ................................................................. Washington .......................................................... United States ....................................................... Raspberries, All 1 Washington United States ....................................................... Strawberries Oregon 2 .............................................................. Washington 2 ....................................................... United States .......................................................

1,880

230

5,800

310

1,040

- 1.1

33.3

2,750

400

6,680

760

1,480

0.7 0.3

1.2

1,400

170

7,650

160

160

(NA) (NA)

20.0

- Represents zero. (NA) Not available. 1 Estimates discontinued for Red and Black Raspberries. 2 Estimates discontinued in 2019.

Cranberry Area Harvested, Yield, Production, Price, and Value — Oregon and United States: 2017 - 2019 [Net pounds per barrel: 100.]

State Area harvested Yield per acre 1 Total

production Utilized

production Price

per barrel 2 Value of utilized

production

(acres) (barrels) (barrels) (barrels) (dollars) (1,000 dollars)

Oregon 2017.................................... 2018.................................... 2019.................................... United States 2017.................................... 2018.................................... 2019....................................

2,800 2,800 2,700

39,900 39,300 38,500

173.0 206.7 206.8

209.1 227.1 205.6

489,700 579,000 558,000

8,394,050 8,926,000 7,917,000

484,300 576,660 558,000

8,343,150 8,846,560 7,827,580

26.40 26.20 26.60

30.20 27.80 28.70

12,777 15,101 14,851

252,088 245,762 224,843

1 2017 yield is based on utilized production. 2 Weighted average of co-op and independent sales. Co-op prices represent pool proceeds less returns for processing non-cranberry product, capital

stock dividends, capital stock retains, and other retains.

Cranberry Fresh and Processed Utilization, Price, and Value — Oregon and United States: 2017 - 2019 [Net pounds per barrel: 100.]

State Utilized production Price per barrels 1 Value of production

Fresh Processed Fresh Processed Fresh Processed

(barrels) (barrels) (dollars) (dollars) (1,000 dollars) (1,000 dollars)

Oregon 2017.................................... 2018.................................... 2019.................................... United States 2017.................................... 2018.................................... 2019....................................

8,800

(D) 6,700

332,900 267,660 270,480

475,500

(D) 551,300

8,010,250 8,578,900 7,557,100

101.00

(D) 102.00

57.60 50.90 66.80

25.00

(D) 25.70

29.10 27.10 27.40

889 (D)

683

19,183 13,611 18,061

11,888

(D) 14,168

232,905 232,151 206,782

(D) Withheld to avoid disclosing data for individual operations. 1 Weighted average of co-op and independent sales. Co-op prices represent pool proceeds less returns for processing non-cranberry product,

capital stock dividends, capital stock retains, and other retains.

Page 25: AGRI-FACTS · (D) 8,209.7 56.7 (D) 7,926.8 - (D) 1,168.5 - (D) 1,204.8 - Represents zero. (D) Withheld to avoid disclosing data for individual operations. Layers on Hand and Eggs

USDA, NASS - Northwest Regional Field Office 25

Cranberry Harvested Not Sold Production—Oregon and United States: 2017 - 2019 [Net pounds per barrel:100]

State Harvested not sold

2017 2018 2019

(barrels) (barrels) (barrels)

Oregon ..................................................................... United States ...........................................................

5,400

50,900

2,340

79,440

-

89,420

- Represents zero.

Other Fruit Bearing Acreage, Yield, Production, Utilized Production, Price, and Value by Crop — Washington and United States: 2017-2019

Crop, State and year

Bearing acreage Yield per acre Production Utilized production

Total Utilized Fresh Processed

(acres) (tons) (tons) (tons) (tons) (tons)

Apricots Washington 2017 .................................... 2018 .................................... 2019 .................................... United States 2017 .................................... 2018 .................................... 2019 .................................... Peaches Washington 2017 .................................... 2018 .................................... 2019 .................................... United States 2017 .................................... 2018 .................................... 2019 ....................................

1,000 1,000 1,000

11,300 10,600

9,600

2,100 2,000 2,100

91,950 74,700 74,400

8.65 7.85 7.40

4.04 3.73 5.34

6.08 6.64 5.30

7.62 8.72 9.16

8,650 7,850 7,400

45,650 39,550 51,300

12,770 13,300 11,150

700,770 651,500 681,600

8,600 7,810 7,370

45,500 39,380 51,180

12,700 13,070 11,040

694,220 638,020 658,830

(D) (D) (D)

22,300 22,870 29,030

(D) (D) (D)

314,600 279,790 262,760

(D) (D) (D)

23,200 16,510 22,150

(D) (D) (D)

379,620 358,230 396,070

See footnote(s) at end of table. --continued

Other Fruit Bearing Acreage, Yield, Production, Utilization, Price, and Value by Crop — Washington and United States: 2017-2019 (continued)

Crop, State, and year

Price per ton Value of utilized production

Fresh Processed All Fresh Processed Total

(dollars) (dollars) (dollars) (1,000 dollars) (1,000 dollars) (1,000 dollars)

Apricots Washington 2017 .................................... 2018 .................................... 2019 .................................... United States 2017 .................................... 2018 .................................... 2019 .................................... Peaches Washington 2017 .................................... 2018 .................................... 2019 .................................... United States ........................ 2017 .................................... 2018 .................................... 2019 ....................................

(D) (D) (D)

1,400.00 1,540.00 1,330.00

(D) (D) (D)

1,350.00 1,250.00 1,300.00

(D) (D) (D)

580.00 735.00 571.00

(D) (D) (D)

460.00 453.00 450.00

1,130.00 1,210.00 1,490.00

979.00 1,210.00 1,000.00

963.00 696.00

1,200.00

864.00 801.00 788.00

(D) (D) (D)

31,098 35,334 38,747

(D) (D) (D)

425,170 348,828 340,483

(D) (D) (D)

13,458 12,135 12,645

(D) (D) (D)

174,692 162,398 178,393

9,686 9,414

10,948

44,556 47,469 51,392

12,232 9,099

13,196

599,862 511,226 518,876

(D) Withheld to avoid disclosing data for individual operations.

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26 USDA, NASS - Northwest Regional Field Office

Other Fruit Harvested Not Sold Production — Washington and United States: 2017 - 2019

State Harvested not sold

2017 2018 2019

(tons) (tons) (tons)

Apricots Washington .......................................................... United States ....................................................... Peaches Washington .......................................................... United States .......................................................

50

150

70 6,550

40

170

230 13,480

30

120

110 22,770

Hazelnut Bearing Acreage, Yield, Production, Price, and Value — Oregon: 2017-2019

Year Bearing acreage Yield per acre 1 Utilized production Price per ton Value of

utilized production

(acres) (tons in-shell equivalent)

(tons in-shell equivalent)

(dollars) (1,000 dollars)

2017 .............................................. 2018 .............................................. 2019 ..............................................

40,000 44,000 50,000

0.80 1.16 0.88

32,000 51,000 44,000

2,300 1,800 1,920

73,600 91,800 84,480

1 Yield is based on utilized production.

Hazelnut Utilization and Meat Production — Oregon: 2017-2019

Year Utilized production Meat production of

nuts sold shelled Sold in-shell Sold shelled 1

(tons) (tons) (tons)

2017 .............................................................. 2018 .............................................................. 2019 ..............................................................

22,500 19,500 26,200

9,500 31,500 17,800

3,800 12,600

7,120 1 In-shell basis

500

1,000

1,500

2,000

2,500

3,000

3,500

4,000

15,000

20,000

25,000

30,000

35,000

40,000

45,000

50,000

55,000

2010 2011 2012 2013 2014 2015 2016 2017 2018 2019

Do

llars

per

to

n

Ton

s

Hazelnut Utilized Production and Price –Oregon: 2010-2019

Page 27: AGRI-FACTS · (D) 8,209.7 56.7 (D) 7,926.8 - (D) 1,168.5 - (D) 1,204.8 - Represents zero. (D) Withheld to avoid disclosing data for individual operations. Layers on Hand and Eggs

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