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Top-down Farm Worker Estimates

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May 13, 2021

How many farm workers are there in each state? This is a surprisingly difficult question to answer. A farm worker is usually defined as a person who works for wages on a farm, whether for one day or for 365 days. There are many types of farm workers, from field workers who harvest crops for a few weeks or months to equipment operators and irrigators to supervisors, mechanics, and those who work with animals year-round.

Bottom up. The federal government distributes at least $1 billion a year to support migrant and seasonal farm workers (MSFWs) and their dependents, most via the Big 4 programs of Migrant Education, Migrant Heath, Migrant Head Start, and the National Farmworker Jobs Program. These programs serve a fraction of the MSFWs that are believed to be eligible for services. However, each program has a different definition of who is eligible for services, and each uses a different methodology to estimate the distribution of eligible MSFWs in order to distribute federal funds across states.

Some programs use bottom-up surveys to estimate the number of eligible MSFWs, which means that they begin with MSFWs and their children who receive services or are identified as eligible for services and multiply by a factor to account for other MSFWs. However, such studies lack a reliable factor for multiplying.

Another bottom-up approach is to combine data from MSFW programs and other sources to estimate MSFWs and dependents who satisfy eligibility criteria. The Lillesand estimate of MSFWs and dependents by state prepared for the Legal Services Corporation in 1977 used mixed methods to estimate five million MSFWs (including dependents), of whom 1.6 million were migrants and 3.4 million were seasonal farm workers and their dependents.

A bottom-up study estimated 5 million MSFWs and dependents in 1977

A bottom-up study estimated 5 million MSFWs and dependents in 1977
State Number of Migrants and Dependents Source Number of Seasonals and Dependents Total Migrants & Seas
Alabama 4,813 DOL 21,917 26,730
Alaska 0 DOL 0 <0/td>
Arizona 17,714 MH 87,022 104,736
Arkansas 6,066 MH 7,403 13,469
California 244,949 DOL 593,419 838,368
Colorado 30,742 DOL 15,759 46,501
Connecticut 6,031 MH 25,307 31,338
Delaware 9,379 MH 7,996 17,375
Florida 166,964 MH 217,192 384,156
Georgia 31,558 DOL 139,383 170,941
Source: http://lib.ncfh.org/pdfs/1264.pdf

Other bottom-up studies begin with the acreage of various commodities by county, estimate the hours per acre needed to produce and harvest them, and divide by average hours worked by each worker to estimate the number of farm workers by commodity and state. The result was an estimated 732,109 MSFWs in California in 2000, plus 570,000 dependents.

A 2000 bottom-up study estimated 732,000 MSFWs in CA in 2000

Field Agriculture, Nursery/Greenhouse and Food Processing
County Adjusted MSFW Farmworker Estimates Migrant Farmworkers Seasonal Farmworkers Non-Farmworkers in Migrant Households Non-Farmworkers in Seasonal Households MSFW Farmworkers and Non-Farmworkers
Alameda 895 414 480 152 545 1,592
Alpine 0 0 0 0 0 0
Amador 574 266 308 98 350 1,022
Butte 5,662 2,621 3,040 963 3,450 10,075
Calaveras 106 49 57 18 64 188
Colusa 10,860 5,028 5,832 1,848 6,617 19,325
Contra Costa 1,925 891 1,034 328 1,173 3,426
Del Norte 471 218 253 80 287 838
El Dorado 748 346 402 127 456 1,331
Fresno 113,741 52,662 61,079 19,353 69,309 202,404
Glenn 2,921 1,352 1,568 497 1,780 5,197
Humboldt 729 338 392 124 444 1,297
Imperial 22,849 10,579 12,270 3,888 13,923 40,659
Inyo 55 26 30 9 34 98
Kern 71,823 33,254 38,569 12,221 43,766 127,810
Kings 12,933 5,988 6,945 2,201 7,881 23,015
Lake 2,269 1,051 1,219 386 1,383 4,038
Lassen 424 196 228 72 258 754
Los Angeles 11,053 5,118 5,936 1,881 6,735 19,670
Madera 23,132 10,710 12,422 3,936 14,096 41,163
Marin 543 251 292 92 331 966
Mariposa 38 18 20 6 23 68
Mendocino 4,788 2,217 2,571 815 2,917 8,520
Merced 20,345 9,420 10,925 3,462 12,397 36,203
Modoc 664 307 356 113 404 1,181
Mono 21 10 11 4 13 37
Monterey 67,769 31,377 36,392 11,531 41,296 120,595
Napa 9,527 4,411 5,116 1,621 5,805 16,953
Nevada 160 74 86 27 98 285
Orange 8,796 4,073 4,723 1,497 5,360 15,652
Placer 625 290 336 106 381 1,113
Plumas 55 26 30 9 34 98
Riverside 27,275 12,628 14,647 4,6411 6,620 48,536
Sacramento 6,115 2,831 3,284 1,040 3,726 10,882
San Benito 5,690 2,635 3,056 968 3,468 10,126
San Bernardino 5,466 2,531 2,935 930 3,330 9,726
Source: https://ccalac.org/wordpress/wp-content/uploads/Farmworker-Enumeration-Profiles-Study.pdf

Bottom-up studies were examined in 1988 and 1994 books and rejected as a reliable estimation method. Bottom-up studies that begin with MSFWs who receive services have difficulty developing reliable multipliers to move from those being served to the universe of MSFWs who are eligible for services. Studies that begin with acreage and hours worked have difficulty accounting for the variance in production methods, and find it very hard to develop a reliable indicator of average hours worked by those employed in each commodity.

Top-down. Top-down farm worker estimation strategies begin with the most reliable data available, often farm operator expenses incurred by employers for workers that are hired directly and for contract labor brought to farms. These labor expense data from the Census of Agriculture (most recent is 2017) can be converted into hours worked by dividing them by the average hourly earnings of US crop workers ($11.99 in 2017 from the NAWS) and US livestock workers ($12.38 from the FLS).

Hours worked, in turn, can be converted into farm workers in each state by dividing them by the average number of hours worked by crop workers (1,388 hours a year from the NAWS) and livestock workers (2,030 hours a year from FLS weekly hours worked times 50 weeks).

This top-down method generates an estimate of 1.6 million US crop and 510,000 US livestock workers in 2017, for a total of almost 2.2 million US farm workers.

These farm worker estimates highlight three major items, the dominance of crop workers, the concentration of farm workers in a few states, and differences in the distribution of crop and livestock workers across states. First, three fourths of farm workers are employed by crop farms. Across states, almost 95 percent of farm workers were employed on crop farms in Hawaii, versus a third in Wyoming. Six states, including WI and OK, had fewer than half of their farm workers employed on crop farms, while nine states, including WA, CA, and FL, had more than 85 percent of farm workers employed on crop farms.

Second, farm workers are concentrated in a few states. California’s estimated 537,000 farm workers in 2017 are a quarter of the US total, followed by 125,000 or almost six percent in WA, 117,000 or over five percent in FL, and 103,000 or almost five percent in TX. The four states that each had over 100,000 farm workers had 41 percent of US farm workers in 2017.

Six states each had 50,000 to 100,000 farm workers, beginning with NC with 92,000, MI with 70,000, WI and OR with 60,000 each, MN with 55,000, and NY and PA with 50,000 each. These six states had a total of 440,000 or 20 percent of US farm workers.

Another 15 states had 25,000 to 50,000 farm workers in 2017, led by IA with 48,000, IL with 44,000, and GA, KY, ID, VA, and AZ with 40,000 each. Three states had about 35,000 farm workers each, OH, NE, and TN, and KS, IN, MO, and CO had 30,000 to 33,000 farm workers each. These 15 states had a total of 525,000 farm workers or 24 percent of US farm workers in 2017.

Third, there are differences in shares of crop and livestock workers across states. The 13 states that each had at least two percent of US farm workers had two-thirds of all farm workers in 2017, including 69 percent of crop workers and 53 percent of livestock workers, that is, crop workers are more concentrated in relatively few states than livestock workers.

CA stands out as having 30 percent of US crop workers, four times more crop workers than any other state. TX and CA each have about 10 percent of livestock workers.

CA had 30% of US crop workers in 2017; TX had 10% of US livestock workers

Changes. Applying the same top-down methodology to COA labor expenses in 2002, 2007, and 2012 shows remarkable stability in the total number of farm workers, about two million, and the distribution of farm workers across states, including a quarter in California. There were 12 to 16 states that each had two percent or more of all US farm workers, and collectively they had 65 to 70 percent of all farm workers.

California’s share of US farm workers rose from 24 to 29 percent between 2002 and 2007 and then stabilized at 25 percent. WA’s share of US farm workers rose from four percent in 2007 to almost six percent in 2012 and 2017, while Florida’s share fell from over eight percent in 2002 to five percent after 2012. Similarly, the share of farm workers in TX fell from over six percent to less than five percent between 2002 and 2017.

The falling share of farm workers in FL and TX, and the rising share in WA and NC, is clear in the move from the yellow farm worker shares of 2002 to the blue shares of 2017. The share of US farm workers in MI and WI rose, the share in OR fell, and the share in MN and NY rose slightly.

The share of farm workers in FL and TX fell between 2002 and 2017, while the share in WA and NC rose

Top 10 states: shares of US farm workers, 2002, 2007, 2012, and 2017

2017 2012 2007 2002
California 24.9% 24.8% 29.2% 23.7%
Washington 5.8% 5.7% 4.2% 5.0%
Florida  5.4% 5.0% 7.6% 8.3%
Texas 4.8% 5.2% 5.4% 6.2%
North Carolina 4.3% 3.1% 3.1% 3.3%
Michigan 3.3% 3.1% 2.4% 2.7%
Wisconsin 2.8% 2.9% 2.6% 2.2%
regon 2.8% 3.0% 3.1% 3.3%
Minnesota 2.6% 2.7% 1.9% 2.3%
New York 2.4% 2.1% 2.1% 2.2%

The National Center for Farmworker Health relies on a variation of the top-down method that divides COA labor expenses for directly hired workers by the number of jobs reported by farmers who hire workers directly. Farmers reported almost $32 billion in expenses for 2.4 million directly hired workers in the 2017 COA, making the average cost per worker or job $13,120.

NCFH divided the $7.6 billion in contract labor expenses by the same $13,120 to estimate an additional 580,000 jobs for contract workers, for a total of almost 2.9 million jobs.

NCFH estimates of direct and contract workers are available by county. Fresno county in 2017 had 38,000 directly hired workers and 34,000 contract workers using this method, while Yakima county had 54,000 directly hired workers and 5,000 contract workers (http://www.ncfh.org/number-of-ag-workers.html).

The COA counts jobs rather than workers, so that one worker employed and reported by two farms is counted twice. COA labor expenses include payments to relatives of the owner and for all types of workers, and include the cost of payroll taxes and employee benefits.

Perspective. During the 1960s, the federal government launched programs to help MSFWs and their children to prepare for nonfarm jobs at a time when labor-saving mechanization was expected to reduce the number of farm jobs. Migrants who moved from one state to another were considered to be a special federal responsibility because many states had residency requirements that limited the eligibility of migrant farm workers to safety net programs. These residency requirements were declared unconstitutional by the US Supreme Court in Shapiro v Thompson in 1969, but the migrant programs expanded to cover both migrant and seasonal workers and continued.

MSFW program administrators commissioned studies of the number of eligible MSFWs to justify requests for funding at a time when manual farm work was believed to be shrinking rapidly. For example, a major DOL-funded study predicted in 1970 that “the farm labor force of the future will consist of a core of skilled and semi-skilled men operating farm machinery supplemented seasonally by unskilled manual laborers, mostly local housewives and school-age youths.” (Cargill and Rossmiller, 1970, p18).

The sense that MSFWs would soon disappear justified the lack of effort to develop reliable methods to estimate the number and distribution of MSFWs. Even as MSFW employment rose during the 1980s and 1990s with expanded production of fresh fruits and vegetables, many programs continued to use ad hoc methods to estimate those eligible for services. Instead of bricks building a stronger wall, the ad hoc surveys used a wide variety of methods, so that most new studies reviewed and rejected previous methodologies.

Top-down strategies have become dominant in the 21st century. They begin with reliable data, make adjustments that are transparent, and can be updated as new data become available. They show that the US has about 2.2 million farm workers, including almost three fourths employed on crop farms and a quarter in California.

Cargill, Burton and George Rossmiller. 1970. Fruit and Vegetable Harvest Mechanization. Policy Implications. MSU.

Martin, Philip and David Martin. 1994. The Endless Quest: Helping America's Farm Workers. Westview Press

Martin, Philip L. 1988. Harvest of Confusion: Migrant Workers in U.S. Agriculture. Boulder: Co. Westview Press.

NCFH. Agricultural Worker Estimates. 2017

Top-down farm worker estimates, 2017

Top-down farm worker estimates, 2017
  State Shares  
Crop Livestock Total Crop Share Crop Livestock Total
Alabama 10,342 7,178 17,520 59.00% 0.60% 1.40% 0.80%
Alaska  462 754 1,216 38.00% 0.00% 0.10% 0.10%
Arizona  32,548 6,041 38,590 84.30% 2.00% 1.20% 1.80%
Arkansas  15,665 8,424 24,089 65.00% 1.00% 1.70% 1.10%
California  493,031 43,927 536,958 91.80% 30.00% 8.60% 24.90%
Colorado  18,572 11,822 30,394 61.10% 1.10% 2.30% 1.40%
Connecticut  9,658 2,104 11,762 82.10% 0.60% 0.40% 0.50%
Delaware  2,246 1,457 3,704 60.70% 0.10% 0.30% 0.20%
Florida  104,251 13,063 117,314 88.90% 6.30% 2.60% 5.40%
Georgia  31,851 9,758 41,608 76.50% 1.90% 1.90% 1.90%
Hawaii 15,406 897 16,304 94.50% 0.90% 0.20% 0.80%
Idaho  26,820 13,396 40,216 66.70% 1.60% 2.60% 1.90%
Illinois  35,641 8,688 44,330 80.40% 2.20% 1.70% 2.10%
Indiana  20,781 10,682 31,464 66.00% 1.30% 2.10% 1.50%
Iowa  25,440 22,529 47,969 53.00% 1.50% 4.40% 2.20%
Kansas 17,745 15,829 33,573 52.90% 1.10% 3.10% 1.60%
Kentucky 26,320 14,216 40,536 64.90% 1.60% 2.80% 1.90%
Louisiana 14,530 3,295 17,825 81.50% 0.90% 0.60% 0.80%
Maine 7,138 1,994 9,132 78.20% 0.40% 0.40% 0.40%
Maryland 10,214 5,111 15,325 66.60% 0.60% 1.00% 0.70%
Massachusetts 10,081 1,789 11,870 84.90% 0.60% 0.40% 0.60%
Michigan 54,207 15,917 70,124 77.30% 3.30% 3.10% 3.30%
Minnesota 36,585 18,842 55,427 66.00% 2.20% 3.70% 2.60%
Mississippi 12,123 5,841 17,964 67.50% 0.70% 1.10% 0.80%
Missouri 17,893 12,777 30,669 58.30% 1.10% 2.50% 1.40%
Montana 7,287 6,558 13,845 52.60% 0.40% 1.30% 0.60%
Nebraska 19,852 15,898 35,750 55.50% 1.20% 3.10% 1.70%
Nevada 2,864 1,886 4,750 60.30% 0.20% 0.40% 0.20%
New Hampshire 2,648 774 3,422 77.40% 0.20% 0.20% 0.20%
New Jersey 18,724 1,962 20,686 90.50% 1.10% 0.40% 1.00%
New Mexico 8,223 8,720 16,943 48.50% 0.50% 1.70% 0.80%
New York 35,245 16,268 51,514 68.40% 2.10% 3.20% 2.40%
North Carolina 72,818 19,207 92,025 79.10% 4.40% 3.80% 4.30%
North Dakota 15,118 3,120 18,237 82.90% 0.90% 0.60% 0.80%
Ohio 24,324 12,301 36,625 66.40% 1.50% 2.40% 1.70%
Oklahoma 8,017 12,232 20,249 39.60% 0.50% 2.40% 0.90%
Oregon 53,041 6,820 59,861 88.60% 3.20% 1.30% 2.80%
Pennsylvania 34,073 16,291 50,365 67.70% 2.10% 3.20% 2.30%
Rhode Island 1,164 146 1,310 88.80% 0.10% 0.00% 0.10%
South Carolina 12,198 3,758 15,955 76.40% 0.70% 0.70% 0.70%
South Dakota 9,685 8,223 17,908 54.10% 0.60% 1.60% 0.80%
Tennessee 28,555 5,836 34,392 83.00% 1.70% 1.10% 1.60%
Texas 53,166 50,091 103,257 51.50% 3.20% 9.80% 4.80%
Utah 5,860 5,170 11,029 53.10% 0.40% 1.00% 0.50%
Vermont 2,753 3,140 5,893 46.70% 0.20% 0.60% 0.30%
Virginia 30,376 8,687 39,063 77.80% 1.80% 1.70% 1.80%
Washington 114,936 10,113 125,048 91.90% 7.00% 2.00% 5.80%
West Virginia 2,708 1,560 4,268 63.40% 0.20% 0.30% 0.20%
Wisconsin 29,845 30,573 60,418 49.40% 1.80% 6.00% 2.80%
Wyoming 2,367 4,755 7,122 33.20% 0.10% 0.90% 0.30%
US 1,645,394 510,424 2,155,818 76.30% 100.00% 100.00% 100.00%
Max 493,031 50,091 536,958 94.50% 30.00% 9.80% 24.90%
Min 462 146 1,216 33.20% 0.00% 0.00% 0.10%

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