Beyond the Score: What the World Bank’s Trading Across Borders Data Reveals About Global Trade Efficiency

Introduction: The Metric That Moves Markets

The World Bank Group’s Doing Business report has, for over a decade, produced the Trading across Borders indicator—a ranking used by governments, investors, and multilateral institutions to benchmark trade logistics efficiency. The metric measures the time and cost required to export and import a standardized shipment, focusing exclusively on documentary compliance and border compliance. Domestic transport and the number of documents are deliberately excluded from the score (Source: World Bank Group, Doing Business FAQ). This design choice, while methodologically defensible, conceals a set of assumptions that can mislead policymakers and supply chain strategists about the true friction points in cross-border trade.

The underlying data, last updated in May 2019 (Source: [Primary Data]), offers a snapshot of pre-pandemic trade facilitation. Understanding what is counted, what is omitted, and how the thresholds were set is essential for interpreting the rankings—and for designing reforms that actually reduce costs for businesses.

Breaking Down the Methodology: What Gets Counted and What Doesn’t

The Trading across Borders score is a simple average of four sub-indicators: time for border compliance, cost for border compliance, time for documentary compliance, and cost for documentary compliance. The number of documents requirement was removed from the ranking in an earlier revision, replaced by time and cost measures that emphasize efficiency over paperwork count (Source: [Primary Data]). This shift was a logical improvement: a country could require many documents but process them digitally in minutes, while another with fewer documents might impose weeks of manual delays.

Border compliance includes all activities related to customs clearance, port handling, and inspections by government agencies—but only if an inspection occurs in 20% or more of shipments. The threshold is explicitly stated in the methodology (Source: [Primary Data]). If a particular agency inspection happens in fewer than 20% of cases, its time and cost are not counted. This rule, as discussed below, can systematically underrepresent unpredictable but costly delays.

Documentary compliance captures the time and cost to obtain, prepare, process, present, and submit all documents required by government agencies, including electronic submissions (Source: [Primary Data]). Because digital submissions are included, the metric theoretically rewards countries that have implemented paperless trade platforms—but only if those platforms are actually used by the majority of traders.

Domestic transport is recorded but excluded from the ranking because geography, infrastructure, and road quality vary too widely for a standardized comparison (Source: [Primary Data]). The World Bank argues that including domestic transport would penalize landlocked economies and large countries unfairly. However, this exclusion means that a landlocked African nation’s full export journey—which may involve days of border crossings and road delays—is only partially reflected. The ranking captures the port and customs side, not the inland logistics that often dominate total time and cost for developing economies.

The 20% Threshold: A Hidden Bottleneck in Trade Facilitation

The 20% probability threshold for including agency inspections is a methodological filter that can mask significant but sporadic delays. Consider a country where the customs authority clears shipments in 2 hours on average, but the Ministry of Agriculture inspects 15% of food imports—a process that takes 3 days. Because the inspection occurs in fewer than 20% of cases, the 3‑day delay is excluded from border compliance time. An exporter cannot know in advance whether their shipment will be selected; the uncertainty itself creates planning costs and inventory buffers. The score therefore reflects the experience of the “median” shipment while ignoring the tail risk that drives real‑world supply chain decisions.

This rule disproportionately affects developing nations that employ multiple specialized agencies (phytosanitary, radiation, quality control) with low but non‑zero inspection probabilities. In practice, an exporter in such a country may face a multi‑agency clearance process where each agency inspects only a small fraction of shipments—but cumulatively, the probability of at least one inspection is high. The methodology treats each agency independently, so none reaches the 20% threshold individually, while the combined risk is invisible in the data.

Contrast this with trade within the European Union, where border compliance time and cost are negligible or zero (Source: [Primary Data]). The EU’s internal market eliminates virtually all customs checks, so the metric records minimal border friction. This is accurate for intra‑EU trade, but it also means that the score can be artificially lowered for countries that are part of deep regional integration blocs—without reflecting the actual efficiency of their own border agencies.

Who Answers the Survey? Bias in Data Collection

The data for Trading across Borders is collected through questionnaires distributed to freight forwarders, customs brokers, traders, and government agencies, then verified through follow‑ups and on‑site visits (Source: [Primary Data]). This reliance on freight forwarders introduces a consistent bias.

Freight forwarders are professional intermediaries who handle logistics for multiple clients. They tend to report standardized times and costs—the typical journey for a best‑case scenario shipment, not the worst‑case outliers. A forwarder may quote a border compliance time of 2 days because 80% of shipments clear that fast, but the remaining 20% may take 2 weeks. The survey does not capture the variance. Moreover, freight forwarders often have established relationships with customs officials and may receive expedited treatment, meaning their reported experience differs from that of a small trader handling a first‑time export.

Government agencies, when surveyed, may have an incentive to underreport delays or overstate digitalization progress. The on‑site verification process mitigates this, but the sample of respondents per economy is typically small (often fewer than 10 per country). Small sample sizes reduce statistical reliability, especially for large or diverse economies.

From Pre-2019 Benchmarks to Post-Pandemic Realities

The last data collection for this methodology was completed in May 2019 (Source: [Primary Data]). The COVID‑19 pandemic fundamentally altered global trade logistics: port congestion, container shortages, digital documentation adoption, and new health inspection requirements have all changed the cost and time profiles of cross‑border trade. The 2019 benchmarks are now historical artifacts rather than current snapshots.

Several post‑pandemic trends that the old methodology did not capture include:

Digitalization acceleration: Many economies shifted to electronic submissions during lockdowns. The 2019 data may already include some digital flows, but the pace of change has been dramatic. Countries that invested in single‑window systems post‑2019 may now score much lower on documentary compliance time than the data suggests.
Increased inspection frequency: Health and safety inspections (e.g., for food, pharmaceuticals, protective equipment) became more common. Some agencies that previously inspected fewer than 20% of shipments may now exceed that threshold, meaning delays that were previously invisible would now be counted—if the methodology were updated.
Domestic transport disruption: Port congestion shifted the bottleneck from border compliance to inland logistics. The exclusion of domestic transport means that some of the most painful post‑pandemic supply chain problems (e.g., truck driver shortages, chassis availability) are entirely absent from the metric.

The World Bank discontinued Doing Business in 2021 after a data‑irregularity scandal, but the Trading across Borders methodology remains influential. Many national trade facilitation committees and regional development banks still reference the 2019 scores as benchmarks. This reliance on outdated data can lead to misallocated reform priorities.

Policy Implications and Future Directions

For policymakers, the Trading across Borders data is a useful but incomplete diagnostic tool. The deliberate exclusions and thresholds mean that a high ranking does not necessarily equate to low friction for all traders. Key implications:

Landlocked economies should not take a poor ranking as an indictment of their border agencies alone. Domestic transport costs and multiple land border crossings are the primary burden, yet they are excluded. A reform agenda must focus on regional transit agreements and infrastructure, not just customs modernization.
The 20% threshold should be revisited. A better metric would capture the probability of inspection and the variance in clearance times, perhaps as a separate “predictability” index. For supply chain planners, a 95% clearance in 1 day with 5% taking 10 days is far worse than a consistent 2‑day clearance. The current score obscures this distinction.
Freight forwarder bias could be corrected by supplementing surveys with administrative customs data (e.g., actual clearance times from national systems). Several economies now publish such data; the World Bank could create a more robust composite.
Post‑pandemic updates are urgently needed. While a full Doing Business revival is unlikely, other institutions (e.g., the OECD’s Trade Facilitation Indicators, the World Customs Organization’s Time Release Studies) already provide more granular, current data. The Trading across Borders methodology, as frozen in 2019, should no longer be used as the sole benchmark for trade environment comparisons.

From a market perspective, supply chain strategists should treat the ranking as a low‑resolution signal. A country ranked in the top 10 may still pose risks if its inspections are sporadic (hidden by the 20% rule) or if its domestic transport infrastructure is weak (hidden by exclusion). Conversely, a low‑ranked economy may have made significant reforms since 2019 that are not yet reflected.

The World Bank’s data, properly understood, reveals that trade efficiency is not a single number—it is a distribution of experiences across commodities, regions, and shipment profiles. The next generation of trade facilitation metrics must move beyond averages and thresholds to capture the unpredictability that truly drives business costs.