Agricultural Modernization — Chart & Figure Package
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Updated Jul 31, 2026
Visual Appendix

Foreign agricultural labor, modernization & the transition to productivity

A production-ready visual appendix for the flagship article and its companion policy paper. It separates empirical charts built from government data from editorial figures that synthesize the argument — figures designed to replace prose, not decorate it.

Figures11 total
Empirical7 charts
Conceptual4 figures
StatusProduction draft
DateJuly 2026

Last updated July 31, 2026 · Permanent supplement URL: agricultural-modernization.pages.dev

01

Figure status at a glance

Eleven figures span the argument, from H-2A program growth through the structure of a credible transition. Empirical plates are publication-ready unless flagged; conceptual plates are labeled as editorial synthesis.

FigureTypeStatusBest use
02

Design rules

1

One claim per figure. Titles state the argument rather than the topic.

2

Empirical figures identify the unit, period, and source in the figure note.

3

Certified H-2A positions are not described as unique workers or visas.

4

NAWS legal-status estimates exclude H-2A and livestock workers.

5

Conceptual figures are labeled as editorial synthesis — never presented as measured data.

6

Technology-readiness judgments must be reviewed by crop and engineering specialists before publication.

03

The figures

Figure 1 Empirical Section 2 · Historical

H-2A certified positions have become structurally important

Certified positions increased more than eightfold between FY2005 and FY2025 — the program is no longer a niche.

Purpose
Show that H-2A is no longer a niche program.
Question answered
How much has the program grown?
Visual spec
Line chart of positions certified — not visas or distinct workers.
Reviewer notes & caveats
  • Selected milestone years are shown rather than every annual observation.
  • FY2025 reflects DOL year-end selected statistics.
  • A worker may fill more than one certified position; some certified positions do not result in visas.

Source: U.S. Department of Labor, Office of Foreign Labor Certification, annual selected statistics; USDA ERS Farm Labor page. Author calculations as indicated.

Figure 2 Empirical Section 2

Foreign labor dependence extends beyond H-2A

In 2020–22, 42 percent of hired crop farmworkers surveyed by NAWS lacked work authorization.

Purpose
Prevent treating H-2A as the entire foreign-labor system.
Question answered
Who makes up the hired crop workforce?
Visual spec
Horizontal bars across four legal-status categories.
Reviewer notes & caveats
  • NAWS excludes H-2A workers and livestock workers.
  • Legal status is difficult to measure and is self-reported in a trusted survey setting.
  • The chart is about hired crop farmworkers, not all agricultural workers.

Source: USDA Economic Research Service, based on the Department of Labor National Agricultural Workers Survey.

Figure 3 Empirical Section 2

H-2A dependence is concentrated geographically

Ten states accounted for roughly two-thirds of FY2022 certified positions; Florida, California & Georgia alone made up 35 percent.

Purpose
Show that national averages conceal state-level dependence.
Question answered
Where are H-2A positions concentrated?
Visual spec
Ranked horizontal bar chart.
Reviewer notes & caveats
  • Shares are rounded and therefore do not sum precisely.
  • State assignment follows certified job location.
  • FY2022 is used because USDA published a clean, comparable state breakdown.

Source: USDA ERS, based on DOL certification data.

Figure 4 Empirical Needs exact middle categories

A small share of employers account for most H-2A positions

The largest 5.3 percent of H-2A employers accounted for more than two-thirds of certified jobs in FY2022 — even though most employers request few workers.

Purpose
Show program use is highly concentrated.
Question answered
Is H-2A primarily a small-farm program?
Visual spec
Grouped bars — share of employers vs. share of positions.
Reviewer notes & caveats
  • Middle category shares are reconstructed from ERS narrative and should be replaced with exact downloadable chart data.
  • Employer records may include farm labor contractors serving multiple farms.
  • Employer concentration does not necessarily equal farm concentration.

Source: USDA ERS, H-2A Temporary Agricultural Job Certifications Continued To Soar in 2022.

Figure 5 Empirical Section 3

Fewer farms, larger average operations

The number of farms declined while average farm size rose, especially from 2017 to 2022.

Purpose
Structural context — without claiming labor policy caused consolidation.
Question answered
How has farm structure changed?
Visual spec
Dual-axis line chart across five Census years.
Reviewer notes & caveats
  • The federal farm definition includes many very small operations.
  • Dual axes can exaggerate visual relationships; no causal relationship is implied.
  • Retain Census methodological notes in the technical appendix.

Source: USDA NASS, 2022 Census of Agriculture, U.S. Summary and State Data.

Figure 6 Empirical Section 3

The producer population is shifting toward retirement age

Between 2017 and 2022, producers ages 35–64 declined 9 percent while producers 65 and older increased 12 percent.

Purpose
Show why succession and adoption capacity matter.
Question answered
How is the age distribution changing?
Visual spec
Grouped bars by age category, in millions of producers.
Reviewer notes & caveats
  • Producer counts are not the same as full-time farmers.
  • A farm may have multiple producers.
  • Decision-maker reporting patterns affect comparisons.

Source: USDA NASS, Farm Producers: 2022 Census of Agriculture Highlights.

Figure 7 Empirical Verify dairy share

Labor expenses are concentrated in a handful of farm industries

Five industries accounted for more than 70 percent of U.S. farm labor expenses in 2022.

Purpose
Identify where modernization financing can matter most.
Question answered
Which industries account for farm labor spending?
Visual spec
Ranked horizontal bars.
Reviewer notes & caveats
  • The dairy share shown is a working value and must be checked against EB-47.
  • Expense share is not identical to labor intensity or automation potential.
  • Oilseed and grain appears because of scale, not unusually high labor intensity per acre.

Source: USDA ERS, Farm Labor Expenses: Evidence from the 1997–2022 Census of Agriculture (EB-47).

Figure 8 Hybrid Insert verified quote

Intent and outcome diverged

Employer sanctions did not eliminate unauthorized farm employment, while the lawful seasonal program expanded dramatically.

The intent · 1986
The Immigration Reform and Control Act was signed as a theory of change: employer sanctions would close off unauthorized employment.

⚠ Placeholder paraphrase — replace with one short, fully-cited quotation from President Reagan's 1986 signing statement before publication.

The outcome · 2020s
42%

of hired crop farmworkers still lacked authorization (2020–22) — even as certified H-2A positions rose past 398,000 in FY2025.

Purpose
The article's signature intent-vs-outcome visual.
Question answered
Did IRCA's stated theory of change materialize?
Visual spec
Two-panel quotation-and-data figure.
Reviewer notes & caveats
  • Do not claim Congress promised H-2A would remain small without a verified quotation.
  • Keep the quotation brief and fully cited.
  • The outcome data do not prove that IRCA caused H-2A growth.

Source: President Reagan's 1986 signing statement; IRCA commission language; USDA ERS and DOL outcome data.

Figure 9 Conceptual Section 4 · Lead figure

The modernization bottleneck is often financial, not technological

Large upfront costs, uncertain resale values, seasonal cash flow, and lender unfamiliarity delay adoption of viable technology.

Viable technology existsCommercially available equipment
Large upfront cost
Uncertain resale value
Seasonal cash flow
Lender unfamiliarity
Adoption is delayedTechnology remains underused despite viability
Purpose
Translate the capital argument into a causal chain.
Question answered
Why does viable technology remain underused?
Visual spec
Editorial flow diagram.
Reviewer notes & caveats
  • This is a conceptual model, not a measured decomposition.
  • Barrier importance varies by crop, farm size, and technology.
  • Avoid saying capital is always the principal barrier.

Source: Editorial synthesis informed by USDA adoption research and agricultural lending literature.

Figure 10 Editorial synthesis Expert review required

Automation readiness varies sharply by task and crop

Monitoring, spraying, and sorting are broadly commercial; delicate fresh-crop harvesting remains uneven and emerging.

Broadly commercial Emerging Research stage
Purpose
Preempt claims that automation is universally ready — or universally speculative.
Question answered
Which agricultural functions are ready now?
Visual spec
Editorial readiness matrix.
Reviewer notes & caveats
  • Every row requires specialist review and named examples.
  • Commercial availability does not guarantee positive farm-level ROI.
  • Readiness varies within categories and field conditions.

Source: Synthesis of USDA, extension, manufacturer, and peer-reviewed robotics literature. Editorial synthesis — requires specialist review.

Figure 11 Conceptual Section 5 · Before conclusion

A transition strategy must combine modernization with enforcement

Financing, proven technology, technical assistance, enforcement, performance tests, and a sunset must operate together.

A credible transition
Purpose
Summarize policy principles without introducing detailed program mechanics.
Question answered
What does a credible transition require?
Visual spec
Radial conceptual framework.
Reviewer notes & caveats
  • The figure describes principles, not program mechanics.
  • It does not imply equal funding or importance for every component.
  • The article should explain the disruption risk of enforcement without transition capacity.

Source: Editorial synthesis.

04

Data tables

The empirical figures are reproducible from the underlying values below.

05

Source register

06

Final-production checklist

Replace Figure 4 reconstructed middle categories with exact downloadable chart values.

Verify Figure 7 dairy share directly against EB-47's source table.

Select and insert the final short IRCA quotation in Figure 8.

Have an agricultural engineer and at least two specialty-crop operators review Figure 10.

Export each final figure as SVG and 300-dpi PNG for publication.

Apply the publication's typography and color system once the template is confirmed.

Maintain a reproducible CSV and code file for every empirical chart.