The Best Panjiva Alternative for University Researchers
Panjiva is the most established source of US import bill of lading data in academic economics. Federal Reserve economists cited it in their 2023 Review of International Economics paper on COVID-19 supply chain disruptions. Stanford's GSB library lists it as a research dataset. Wharton's WRDS platform offers it as a data module. For institutions that already have access, Panjiva is a legitimate and well-documented source. The problem is not the data. The problem is access.
Panjiva was acquired by S&P Global in 2018 for an undisclosed sum. It is now a product of one of the world's largest financial data corporations, priced accordingly and sold through an enterprise licensing process oriented toward supply chain professionals and institutional investors. A PhD student needing US import data for a dissertation chapter, or a professor with a $15,000 annual research budget, does not fit the customer profile that Panjiva's pricing and sales process was designed around. The result is a situation where the underlying data, which is itself a public record collected by the US government, is effectively out of reach for a significant portion of the academic researchers who need it most.
Kirchner is the Panjiva alternative built for this gap. Same CBP bill of lading source data. Priced for academic budgets. Built by a researcher who worked with this data on EU government funding. Trusted by researchers at Harvard, Cornell, Purdue, and HKUST.
Panjiva vs Kirchner: What Researchers Actually Need to Know
The most important comparison between Panjiva and Kirchner for academic purposes is not about features. It is about fit. Both platforms provide access to US import data derived from CBP bills of lading. Panjiva has broader country coverage across 20-plus markets, which matters for researchers studying global trade patterns beyond the US. Kirchner is focused specifically on US ocean imports, with approximately 1.2 million monthly records covering all 360-plus US ports from 2007 onwards, with 35 fields per bill.
For researchers focused on US import dynamics, the substantive difference between the two datasets is minimal. US trade policy papers, tariff impact studies, supply chain resilience analyses, and firm-level import exposure research all work with the same underlying CBP data that both platforms aggregate. The difference is in price, access speed, research tooling, and the kind of support you receive when you have a question about the data.
On price: Kirchner starts at $10,000 per year. Panjiva typically prices at $25,000 or more for direct access, with WRDS add-on licensing following an institutional procurement process. The 60 percent difference is not marginal in an academic context. For many research projects, grant allocations, and departmental budgets, it is the difference between having the data and building your paper around a different dataset.
- Panjiva: broad country coverage, well-cited in journals, enterprise pricing, S&P Global corporate entity, WRDS access route
- Kirchner: US-focused, academic pricing at $10K/year, custom research playground, built by researchers, direct access without WRDS
- If your institution already has Panjiva through WRDS at no additional cost: stay with it
- If you need US import data and Panjiva pricing is out of reach: Kirchner was built for you
A note on citation: Kirchner uses the same underlying CBP bill of lading data as Panjiva. As Kirchner builds its presence in published research, citation precedent grows. We encourage researchers to discuss data source documentation with us directly if journal submission requirements are a consideration.