Farm Labor Methodology and Quality 

Measures

ISSN: 2167-1893

Released May 30, 2019, by the National Agricultural Statistics Service (NASS), Agricultural Statistics Board, United States Department of 

Agriculture (USDA).

Farm Labor Survey Methodology

Scope and Purpose: The NASS Farm Labor Survey provides the basis for employment and wage estimates for all 

workers directly hired by U.S. farms and ranches (excluding Alaska), for each of four quarterly reference weeks. Selected 

annual average estimates are summarized from the associated quarterly estimates.

The Farm Labor Survey is conducted in cooperation with the Department of Labor. The employment and wage estimates 

published support USDA and Department of Labor programs, and are used by additional federal, state, and local 

government agencies, educational institutions, farm organizations, and private sector employers of farm labor. 

The NASS Farm Labor Survey is conducted semi-annually in April and October, in all surveyed states except California. 

During the April data collection, data for both January and April reference weeks are collected. During the October data 

collection, data for both July and October reference weeks are collected. The quarterly reference week is the Sunday to 

Saturday period which includes the 12th day of the month. For California, collection of these data is currently conducted 

on a quarterly basis, as part of the California Employment Development Department (EDD) monthly labor program.

Estimates published include number of hired workers during each quarterly reference week, the average hours worked, 

and average wage rates by type of worker. Estimates are published for the U.S., each of 15 multi-state labor regions, and 

the single-state regions of California, Florida, and Hawaii.

Survey Timeline: Data collection begins the week following the April or October reference week and extends 

approximately one week beyond the end of the month, for all surveyed states except California. In California, data 

collection begins shortly after the reference week in each of the four surveyed quarters and typically extends three to four

weeks beyond the end of the month. NASS Regional Field Offices (RFOs) have about four or five business days 

following the NASS semi-annual data collection period, to complete editing and analysis, execute the summary, and 

interpret the survey results at the state level for each member state. The Agricultural Statistics Board performs a national 

review, reconciles state estimates to regional and national estimates, and prepares the official estimates for release in five 

to eight business days. For the April 2019 survey cycle, the timeline was lengthened slightly to accommodate program 

expansion. Official Farm Labor Survey estimates are published in May (for the January and April quarters) and November 

(for the July and October quarters, and annual average estimates).

Sampling: The target population for the Farm Labor Survey program is all farms and ranches with $1,000 or more in 

agricultural sales (or potential sales), excluding Alaska farms. NASS uses a dual frame approach, consisting of list frame 

and area frame components, to provide complete coverage of this target population. 

The list frame includes all known agricultural establishments. A profile, called control data, of each establishment is 

maintained on the list frame to allow NASS to define list frame sampling populations for specific surveys and to employ 

efficient sampling designs. The primary control datum for farm labor is the peak number of workers value, the most 

recently reported annual peak number of hired workers for each record. List frame records with positive peak number of 

worker control data are included in the list frame farm labor population. The California list frame labor population defined 

by positive peak number of workers alone is sufficiently complete, due to the collaboration with the California EDD. For 

all other states, records without peak number of worker control data that have a calculated farm value of sales of at least 

$10,000, many of which are expected to employ agricultural workers, are also part of the list frame farm labor population. 

In total, the list frame farm labor population includes approximately 1.3 million U.S. farms and ranches. 
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The area frame contains all land in the U.S. (except Alaska) and is therefore complete for the Farm Labor Survey 

program. For all states, land is stratified according to intensity of agriculture using satellite imagery. The land in each 

stratum is divided into segments of roughly one square mile. Segments are optimally allocated and sampled to effectively 

measure crops and livestock. The sampled segments are fully enumerated each June, in all states except Hawaii. All farms 

and ranches found operating tracts in enumerated segments are checked to see if they are included in the list frame farm 

labor population. The farms and ranches that are not included in the list frame labor population, called nonoverlap tracts, 

are eligible for the farm labor nonoverlap sample. 

The farm labor list frame sample is selected using a hierarchical stratified sampling design with strata defined by peak 

number of farm workers or calculated farm value of sales. The sample is a panel sample and is designed to achieve a U.S. 

level coefficient of variation of four percent of the point estimate for all hired workers and one percent of the ratio 

estimate for wage rates of all workers. The U.S. list frame sample size for the Farm Labor Survey in recent years is 

approximately 12,500. A slightly reduced sample was utilized for April 2018, to accommodate a parallel research 

initiative. An increased list sample size of over 30,000 units was used beginning in April 2019, to accommodate program 

expansion following research completion. Each list frame sampling unit is assigned a sampling weight which is used to 

create the survey estimates.

The farm labor area frame nonoverlap sample is selected using a stratified sample design based on data collected each 

June. An area frame nonoverlap sample is selected for each surveyed state except California and Hawaii. The California 

sample does not include a nonoverlap portion because the list frame is assumed to be complete. For Hawaii, the area 

frame is excluded from sampling because this frame is not updated on an annual basis. The total farm labor area frame 

nonoverlap sample, which includes the remaining surveyed states, in recent years has consisted of approximately 1,500 

sampling units. Each area frame nonoverlap sampling unit is assigned a sampling weight which is used to create the 

survey estimates.

Data Collection: Data collection proceeds with utilization of NASS data collection instruments and follow-up 

procedures, in all surveyed states except California. In California, the California EDD conducts data collection utilizing 

EDD-specific instruments and follow-up procedures which are similar to NASS procedures. 

Data Collection for All States Except California

For consistency across modes, the paper version is considered the master questionnaire and the Computer Assisted 

Telephone Interview (CATI) and web reporting instruments are built to model the paper instrument. Questionnaire 

content and format are evaluated annually through a specifications process where requests for changes are evaluated and 

approved or disapproved. Input may vary from question wording or formatting to a program change involving the deletion 

or modification of current questions or addition of new ones. If there are significant changes to either the content or 

format proposed, a NASS survey methodologist will pre-test the changes for usability. Prior to the start of data collection, 

all instruments are reviewed including the CATI and web instruments, and the web-supported Computer Assisted 

Personal Interview (CAPI) instrument. 

All federal data collections require approval by the Office of Management and Budget (OMB). NASS must document the 

public need for the data, show the design applies sound statistical practice, ensure the data do not already exist elsewhere, 

and that the public is not excessively burdened. The Farm Labor Survey questionnaire must display an active OMB 

number that gives NASS the authority to conduct the survey, a statement of the purpose of the survey and the use of the 

data being collected, a response burden statement that gives an estimate of the time required to complete the form, a 

confidentiality statement that the respondent’s information will only be used for statistical purposes in combination with 

other producers, and a statement saying that response to the survey is voluntary and not required by law. 

In addition to asking the specific farm labor items, all instruments collect information to verify the sampled unit, 

determine any changes in the name or address, identify any partners to detect possible duplication, verify the farm still 

qualifies for the target population, and identify any additional operations operated by the sampled operator. 

During each semi-annual data collection period, sampled farms and ranches receive a pre-survey letter explaining the 

survey and that they will be contacted for survey purposes only. The letter provides a paper copy of the questionnaire to 
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allow respondents to respond by mail or to prepare in advance for a follow-up interview and also provides a pass code 

they can use to complete the survey on the internet. All questionnaires completed on paper are returned to the NASS 

National Operations Center where they are visually reviewed and key entered. All modes of data collection are utilized for 

the Farm Labor Survey. While mail is the least costly mode of collection, the short data collection period can limit its 

effectiveness. Most of the data are collected by phone follow-up interviews from NASS Data Collection Centers, using 

CATI. Personal interviews, conducted via CAPI, are generally reserved for large operations or those with special handling 

arrangements. Data collection is coordinated for farms sampled for multiple on-going NASS surveys.

Data Collection for California

The California EDD utilizes a mail out phase with follow-up similar to the NASS procedure. All sampling units from the 

NASS California labor sample receive an EDD labor questionnaire which includes the NASS Farm Labor Survey 

questions as well as additional content.

Because the EDD program is monthly, collection of California labor data begins shortly after each respective quarterly 

reference week, and complete datasets are received at NASS by the following month. The EDD data collection period 

typically extends two to three weeks beyond the concurrent NASS April and October data collection periods. For this 

reason, the final California datasets for the April and October reference weeks are not fully processed until the following 

NASS semi-annual survey period. 

Throughout the EDD data collection period, electronic files containing labor data are regularly transmitted securely to the 

NASS Pacific RFO in California. These files are made available to the NASS editing and analysis instruments, so that all 

subsequent data handling proceeds according to the NASS data analysis and estimation program.

Survey Edit: As survey data are collected and captured, data are edited for consistency and reasonableness using 

automated systems. Reported data are edited as a batch of data when first captured. The edit logic ensures the coding of 

administrative data follows the methodological rules associated with the survey design. Relationships between data items 

(i.e. responses to individual questions) on the current survey are verified. Some data items in the current survey are 

compared to data items from earlier surveys to ensure certain relationships are logical. The edit assigns a status to each 

record, indicating whether or not the record passes or fails the edit requirements for consistency and reasonableness. 

Records that fail edit requirements must be updated or must be certified by an analyst to be exempt from the failed edit 

requirement. All records must pass edit requirements, or be certified exempt, before further analysis and summary. 

Analysis Tools: Edited Farm Labor Survey data are processed and analyzed with a standard interactive data analysis tool 

which displays data for all reports by item. The tool provides scatter plots, tables, charts, and special tabulations that allow 

the analyst to compare record level data with previously reported data for the same record, and reported data from similar 

records. Atypical responses, unusual data relationships, and statistical outliers for all labor items are revealed by the 

analysis tool. RFO and NASS Headquarters (HQ) staff review such relationships to determine if they are correct. Data 

found to be in error are corrected, while accepted data are retained.

Nonsampling Error: Nonsampling error is present in any survey process. This error includes reporting, recording, and 

editing errors, as well as nonresponse error. Steps are taken to minimize the impact of these errors, such as questionnaire 

testing, comprehensive interviewer training, validation and verification of processing systems, application of detailed 

computer edits, and evaluation of the data via the analysis tool. The respondent pool is monitored and reviewed during 

and after data collection, and data collection strategies modified where necessary, to continually minimize nonresponse 

error.

Nonresponse Adjustment: Response to the Farm Labor Survey is voluntary. Some producers refuse to participate in the 

survey, others cannot be located during the data collection period, and some submit incomplete reports. These 

nonrespondents must be accounted for if accurate estimates of farm labor are to be made. For the Farm Labor Survey, 

nonrespondents are accounted for by adjusting the weights of the respondents. The adjustment occurs by stratum as all 

strata represent homogeneous groupings of similar sized farms. The adjustment is performed by individual data item so 

adjustments for item nonresponse (partial reports) and unit nonresponse (refusals and inaccessibles) are done in a single 

calculation.
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Estimators: Each farm and ranch in the sample has an initial sampling weight. This is the inverse of the sampling 

fraction. For example, if a stratum has 1,000 farms in the population and 200 are sampled for this survey, each sampled 

farm has a weight of five. In other words, each sampled farm represents five farms. The nonoverlap tracts sampled to 

measure the labor not accounted for by the list have a weight determined by adjusting their original area frame weight by 

any second stage sampling weight.

The Farm Labor Survey uses a “reweighted” estimator to compute direct measures of hired farm workers. The reweighted 

estimator uses a global weight adjustment across all usable reports, which is the initial sampling weight adjusted for 

nonresponse. Using the previous example, if 180 of the original 200 respond, the weights of the 180 will be adjusted to 

1,000 divided by 180, or 5.56.

Point estimates, called direct expansions, are calculated by multiplying each reported value by the final adjusted weight 

and first summing to stratum totals. A variance estimate is also computed at the stratum level. The nonoverlap tracts are 

treated as an additional stratum. Totals and variances are additive across strata. Ratio estimates are also computed for 

many items. For example, wage rates are calculated as the ratio of total wages to total hours worked. Ratio estimators use 

the reweighted estimator described above for the numerator and denominator direct expansions. Both the numerator and 

denominator must be usable in order for a given record to be used in the ratio estimator.

Outliers: Both RFO and HQ statisticians conduct a review of worker and wage outliers, identified through the interactive 

data analysis tool, to ensure the most accurate data and indications possible. The RFO statisticians review outliers for 

states within their regions and the HQ statistician examines outliers across all states. Many outliers trace back to unique 

situations that do not exist in the target population as much as the survey weight would indicate. In some cases, aging

control data result in misstratification, and this misstratification can also give rise to outliers. A determination is made as 

to whether an adjustment to final estimates will be required for each outlier.

Estimation: The number of hired workers, average hours worked, average wage rate data, and all associated sub-items for 

each surveyed reference week are summarized from the dataset. Because identical data collection instruments are used for 

all states, as well as identical editing and analysis processes, state data can be summarized to regional and national survey 

point estimates. For estimation purposes, point estimates are adopted as survey indications for all data items. The 

summary results provide multiple direct and ratio indications for each data series being estimated. The results also provide 

information used to assess the performance of the current survey and evaluate the quality of the survey indications. RFOs 

interpret state level survey indications and submit state level recommendations for all member states to HQ, providing 

justification in cases where recommendations deviate from survey indications, as well as other state specific comments 

and justifications. HQ executes the regional and U.S. level summaries, which utilize the same estimators and produce the 

same indications as the state level summaries.

The estimation process is facilitated at all levels with a second interactive analysis tool, which selectively displays current 

and historic summary indications and measures of indication quality, state level recommendations and comments, and 

final estimates for all published data items. The instrument generates tables and charts of this database content, allowing 

statisticians to assess trends, evaluate current and historic relationships between summary indications and preliminary or 

final estimates, and current and historic state level comments on local conditions and data assessment. Statisticians view 

and analyze all necessary database content through the instrument, to complete the estimates. RFO statisticians review 

only data and analyses relevant to their state level estimates, and HQ statisticians review all state, regional, and national

data and analyses. All entry and transmittal of preliminary and official estimates and comments is accomplished through 

this data tool. Additionally, the annual average estimates are calculated using this data tool after all final quarterly 

estimates are established.

For the final step in the estimation process, NASS assembles a panel of statisticians to serve as the Agricultural Statistics 

Board (ASB) for the Farm Labor Survey, which reviews the U.S. level, regional, and state level summary indications and 

establishes all final, official estimates for each surveyed reference week. Since larger sample sizes yield more precise 

results, the ASB employs the “top-down” approach by determining the U.S. level estimates first and reconciling the state 

recommendations to the U.S. and regional numbers for all estimates including number of hired workers, average hours 

worked, average wage rates, and associated sub-items. As part of the semi-annual process, the ASB also considers revised 

California recommendations submitted after interpretation of final April or October datasets from the prior survey period, 
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and issues revisions of previously published California and U.S. level estimates where appropriate. Through examining 

indications across states and regions, re-examining outliers and historic indications and estimates, and considering state 

level recommendations and comments, the ASB is able to establish all final estimates according to both local conditions 

and regional and national conditions and trends. After all final quarterly estimates are established, the ASB verifies the 

annual average estimates for the November publication, which are summarized weighted averages of the final U.S. and 

regional level estimates for each of the four quarters.
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Quality Metrics for the Farm Labor Survey

Purpose and Definitions: Under the guidance of the Statistical Policy Office of the Office of Management and 

Budget (OMB), the United States Department of Agriculture’s National Agricultural Statistics Service (NASS) 

provides data users with quality metrics for its published data series. The metrics tables in this document describe the 

performance data for the survey contributing to the publication. The accuracy of data products may be evaluated 

through sampling and nonsampling error. The measurement of error due to sampling in the current period is evaluated 

by the coefficient of variation for each estimated item. The multi-component nonsampling error can be difficult to 

quantify and measure, but response rates may offer a partial assessment.

Sample size is the number of observations selected from the population to represent a characteristic of the 

population. Operations that did not have the item of interest or were out of business at the time of data collection 

have been excluded. 

Response rate is the proportion of the sample that completed the survey. This calculation follows Guideline 3.2.2 of 

the Office of Management and Budget Standards and Guidelines for Statistical Surveys (Sept. 2006).

Coefficient of variation provides a measure of the size for the standard error relative to the point estimate and is 

used to measure the precision of the results of a survey estimator.
Farm Labor Methodology and Quality Measures (May 2019) 7

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Coefficient of Variation for Wage Rate by Type of Worker – United States

Reference week Field Livestock Field and livestock combined

(percent) (percent) (percent)

April 8 – 14, 2018 ............................

April 7 - 13, 2019 .............................

January 7 - 13, 2018 ........................

January 6 - 12, 2019 ........................

1.0

0.6

1.0

0.6

1.5

1.3

1.6

1.8

0.8

0.7

0.9

0.9

Farm Labor Sample Size and Response Rate – Regions and United States: April 8-14, 2018 and 

April 7-13, 2019

Region

Sample size Response rate

2018 2019 2018 2019

(number) (number) (percent) (percent)

Northeast I ..................................

Northeast II .................................

Appalachian I ..............................

Appalachian II .............................

Southeast ...................................

Florida ........................................

Lake ...........................................

Cornbelt I ....................................

Cornbelt II ...................................

Delta ...........................................

Northern Plains ...........................

Southern Plains ..........................

Mountain I ...................................

Mountain II ..................................

Mountain III .................................

Pacific .........................................

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

Hawaii ........................................

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

605

458

553

642

565

423

704

766

647

677

903

920

356

304

293

544

706

355

10,421

1,149

1,843

1,130

2,102

1,171

916

1,695

3,036

2,426

2,301

2,122

2,771

1,356

1,046

1,049

1,834

886

1,362

30,195

46.3

52.2

53.3

59.3

57.9

53.9

56.3

52.9

52.4

66.9

48.7

50.9

48.0

56.6

51.2

44.7

66.7

47.0

54.0

49.3

51.2

49.0

57.7

51.6

50.8

55.0

48.8

51.6

61.2

46.4

50.2

47.5

48.9

48.4

46.5

55.3

43.2

51.0
8 Farm Labor Methodology and Quality Measures (May 2019)

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Farm Labor Sample Size and Response Rate – Region and United States: January 7-13, 2018 and 

January 6-12, 2019

Region

Sample size Response rate

2018 2019 2018 2019

(number) (number) (percent) (percent)

Northeast I ..................................

Northeast II .................................

Appalachian I ..............................

Appalachian II .............................

Southeast ...................................

Florida .........................................

Lake ............................................

Cornbelt I ....................................

Cornbelt II ...................................

Delta ...........................................

Northern Plains ...........................

Southern Plains ...........................

Mountain I ...................................

Mountain II ..................................

Mountain III .................................

Pacific .........................................

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

Hawaii .........................................

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

605

458

553

642

565

423

704

766

647

677

903

920

356

304

293

544

706

355

10,421

1,149

1,843

1,130

2,102

1,171

916

1,695

3,036

2,426

2,301

2,122

2,771

1,356

1,046

1,049

1,834

886

1,362

30,195

46.3

52.2

53.5

58.4

58.1

53.2

56.3

52.6

52.1

66.6

48.7

50.3

48.3

56.6

51.5

45.6

67.3

46.8

53.9

49.3

51.3

48.7

57.7

51.2

50.4

54.6

49.0

51.6

60.6

46.3

50.1

47.3

48.8

48.6

46.2

68.4

42.4

51.2
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Coefficient of Variation for All Hired Workers and Wage Rate – Region and United States: 

April 8-14, 2018 and April 7-13, 2019

Region

All hired workers Wage rate

2018 2019 2018 2019

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

Northeast I ...............................................

Northeast II ..............................................

Appalachian I ...........................................

Appalachian II ..........................................

Southeast ................................................

Florida .....................................................

Lake ........................................................

Cornbelt I .................................................

Cornbelt II ................................................

Delta ........................................................

Northern Plains ........................................

Southern Plains .......................................

Mountain I ................................................

Mountain II ...............................................

Mountain III ..............................................

Pacific ......................................................

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

Hawaii .....................................................

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

12.0

11.7

13.3

18.9

15.0

12.1

10.5

15.2

15.6

23.8

11.8

15.5

16.8

22.0

12.6

11.6

4.7

12.2

3.1

7.7

8.3

11.6

9.4

10.0

18.8

7.1

8.1

11.7

11.2

8.0

14.3

14.3

9.1

7.1

6.5

4.2

15.3

2.5

4.0

3.0

1.9

4.0

4.7

1.6

2.7

4.7

3.9

2.1

3.3

2.7

3.7

2.7

7.9

3.5

1.4

3.6

0.9

2.4

2.3

2.5

2.2

2.2

2.4

1.7

2.6

2.1

2.6

3.1

3.2

2.8

2.4

2.0

1.5

1.1

7.3

0.7

Coefficient of Variation for Hired Workers and Wage Rate by Standard Occupational Classification 

System (SOC) – United States: April 8-14, 2018 and April 7-13, 2019

Title SOC Code

All Hired Workers Wage rate

2018 2019 2018 2019

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

Graders and sorters, agricultural products..................

Agricultural equipment operators ............................

Farmworkers, crop, nursery, and greenhouse..............

Farmworkers, farm, ranch, and aquacultural animals..... 

Agricultural workers, all other...................................

Packers and packagers, hand .................................

Farmers, ranchers, and other agricultural managers...... 

First-line supervisors of farming, fishing workers..........

 45-2041

 45-2091

 45-2092

 45-2093 

 45-2099

 53-7064

 11-9013

 45-1011 

24.4

6.1

4.5

7.3

13.0

16.1

7.6

9.3

12.8

5.0

3.2

6.8

7.2

11.4

7.6

5.3

4.7

1.4

1.3

1.7

3.2

2.9

2.8

2.3

2.3

1.1

0.8

1.5

2.2

3.1

1.9

2.0
10 Farm Labor Methodology and Quality Measures (May 2019)

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Coefficient of Variation for All Hired Workers and Wage Rate – Region and United States:

January 7-13, 2018 and January 6-12, 2019

Region

All hired workers Wage rate

2018 2019 2018 2019

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

Northeast I ...............................................

Northeast II ..............................................

Appalachian I ...........................................

Appalachian II ..........................................

Southeast ................................................

Florida ......................................................

Lake .........................................................

Cornbelt I .................................................

Cornbelt II ................................................

Delta ........................................................

Northern Plains ........................................

Southern Plains ........................................

Mountain I ................................................

Mountain II ...............................................

Mountain III ..............................................

Pacific ......................................................

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

Hawaii ......................................................

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

12.5

12.6

14.1

20.1

12.2

9.9

11.4

17.3

16.9

24.3

12.6

16.0

21.6

23.4

14.9

11.1

5.9

13.0

3.2

9.6

9.0

14.4

10.7

10.2

20.5

8.1

7.1

12.2

10.5

8.6

13.6

11.0

10.6

7.3

8.0

3.7

14.6

2.7

4.5

3.4

2.5

3.9

3.7

1.7

3.0

6.1

4.3

2.8

3.5

3.2

4.7

5.8

7.7

2.4

1.7

3.7

1.0

2.9

2.5

4.3

1.9

2.4

3.9

2.0

2.2

2.3

1.8

3.3

3.7

2.7

2.9

2.1

1.8

1.2

7.1

0.9

Coefficient of Variation for Hired Workers and Wage Rate by Standard Occupational Classification 

System (SOC) – United States: January 7-13, 2018 and January 6-12, 2019

Title SOC Code

All Hired Workers Wage rate

2018 2019 2018 2019

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

Graders and sorters, agricultural products..................

Agricultural equipment operators ............................

Farmworkers, crop, nursery, and greenhouse..............

Farmworkers, farm, ranch, and aquacultural animals..... 

Agricultural workers, all other...................................

Packers and packagers, hand .................................

Farmers, ranchers, and other agricultural managers...... 

First-line supervisors of farming, fishing workers..........

 45-2041

 45-2091

 45-2092

 45-2093 

 45-2099

 53-7064

 11-9013

 45-1011 

19.9

6.8

5.2

6.7

14.5

16.8

7.6

9.5

12.9

5.0

3.2

6.7

7.9

14.7

6.2

5.5

4.4

1.7

1.1

1.8

4.3

2.7

2.7

2.3

2.7

1.3

0.7

2.0

2.6

3.2

1.8

2.1
Information Contacts

Process Unit Telephone Email

Estimation ........................................

Data Collection ................................

Questionnaires ................................

Sampling and Editing .......................

Summary and Estimators .................

Dissemination ..................................

Media Contact and Webmaster ........

Environmental, Economics, and

Demographics Branch

Survey Administration Branch

Data Collection Branch

Sampling, Editing, and Imputation

Methodology Branch

Summary Estimation and Disclosure

Methodology Branch

Data Dissemination Office

Public Affairs Office

(202) 720-6146

(202) 720-3895

(202) 720-6201

(202) 690-8141

(202) 690-8141

(202) 720-3400

(202) 692-0045

HQ_SD_EEDB@nass.usda.gov

HQ_CSD_SAB@nass.usda.gov

HQ_CSD_DCB@nass.usda.gov

HQ_MD_SEIMB@nass.usda.gov

HQ_MD_SEDMB@nass.usda.gov

HQOAPAO@nass.usda.gov

HQOAPAO@nass.usda.gov

Access to NASS Reports

For your convenience, you may access NASS reports and products the following ways:

 All reports are available electronically, at no cost, on the NASS web site: www.nass.usda.gov

 Both national and state specific reports are available via a free e-mail subscription. To set-up this free 

subscription, visit www.nass.usda.gov and click on “National” or “State” in upper right corner above “search” 

box to create an account and select the reports you would like to receive.

 Cornell’s Mann Library has launched a new website housing NASS’s and other agency’s archived reports. The 

new website, https://usda.library.cornell.edu. All email subscriptions containing reports will be sent from the new 

website, https://usda.library.cornell.edu. To continue receiving the reports via e-mail, you will have to go to the 

new website, create a new account and re-subscribe to the reports. If you need instructions to set up an account or 

subscribe, they are located at: https://usda.library.cornell.edu/help. You should whitelist notifications@usdaesmis.library.cornell.edu in your email client to avoid the emails going into spam/junk folders. 

For more information on NASS surveys and reports, call the NASS Agricultural Statistics Hotline at (800) 727-9540, 

7:30 a.m. to 4:00 p.m. ET, or e-mail: nass@nass.usda.gov. 

The U.S. Department of Agriculture (USDA) prohibits discrimination against its customers, employees, and applicants for 

employment on the basis of race, color, national origin, age, disability, sex, gender identity, religion, reprisal, and where 

applicable, political beliefs, marital status, familial or parental status, sexual orientation, or all or part of an individual's 

income is derived from any public assistance program, or protected genetic information in employment or in any program 

or activity conducted or funded by the Department. (Not all prohibited bases will apply to all programs and/or 

employment activities.) 

If you wish to file a Civil Rights program complaint of discrimination, complete the USDA Program Discrimination 

Complaint Form (PDF), found online at www.ascr.usda.gov/filing-program-discrimination-complaint-usda-customer, or 

at any USDA office, or call (866) 632-9992 to request the form. You may also write a letter containing all of the 

information requested in the form. Send your completed complaint form or letter to us by mail at U.S. Department of 

Agriculture, Director, Office of Adjudication, 1400 Independence Avenue, S.W., Washington, D.C. 20250-9410, by fax 

(202) 690-7442 or email at program.intake@usda.gov.