Panjiva Alternative for University Research Β· US Import Data Β· Kirchner

The Panjiva Alternative
Built by Researchers
for Researchers.

Kirchner is the Panjiva alternative for economics professors, PhD students, and university research teams who need complete US Ocean Import Bills of Lading data at a price that fits an academic budget. Same underlying CBP data. 60% less than Panjiva pricing. Built by a researcher who received EU government funding working with this dataset.

Trusted by Harvard, Cornell, Purdue 1.2M Bills of Lading monthly From $10,000/year
Request Access to Kirchner Data
No enterprise sales cycle. Direct reply from the research team.
Why Researchers Switch
"We needed US import data for our supply chain resilience study. Panjiva's pricing was out of reach for our grant budget. Kirchner had the same underlying CBP data at a fraction of the cost."
Economics Researcher, US University
$10K
vs Panjiva's typical $25K+ per year
You searched for a Panjiva alternative. This page was written for academic researchers, not procurement departments.
The Problem Every Researcher Knows
The data you need for your paper
is sitting behind a $25,000 paywall.

US Ocean Import Bills of Lading are public records collected by US Customs and Border Protection. The underlying data belongs to no one. But accessing it in a form useful for academic research has historically meant going through Panjiva, which means going through S&P Global, which means a quote-based enterprise negotiation that most research budgets cannot accommodate.

Kirchner was built because a researcher lived this exact problem. The founder received a 160,000 euro EU government grant working with this data at Ulm University and built the tools, the aggregation pipeline, and the research interface that he wished had existed. The result is a platform built for how researchers actually work with this data, not for how enterprise sales teams sell it.

Why Researchers Search for a Panjiva Alternative

Four Reasons Academic Teams
Cannot Work with Panjiva as Their Primary Data Source

πŸ’°

Panjiva Pricing Exceeds Most Research Budgets

Panjiva is priced for Fortune 500 supply chain teams, not for PhD students on dissertation grants or professors working with departmental budgets. At $25,000 or more per year, it exceeds what most academic projects can allocate to a single data source.

🏒

Panjiva Is Now an S&P Global Enterprise Product

Acquired in 2018 by S&P Global, Panjiva is now part of a $50B+ corporation. University access is managed through enterprise licensing and often routed through WRDS as an add-on. The negotiation process is designed for institutional procurement cycles, not research timelines.

πŸ”§

Standard Interfaces Are Not Built for Economic Analysis

Trade data platforms are typically designed for supply chain professionals. The query interface, export formats, and aggregation options are oriented toward business intelligence, not toward the specific analytical workflows that economics and trade policy researchers need.

πŸ§‘β€πŸ’»

Support Comes from Sales Teams, Not Data Experts

When you have a question about how a specific field was collected, how carrier consolidation affects shipper attribution, or how to handle manifest amendments in a panel dataset, you need someone who actually works with the data. Enterprise vendor support rarely provides this.

Data Provider Profile
New York, USA Β· Founded 2006 Β· Acquired by S&P Global 2018

Panjiva

S&P Global Market Intelligence's trade data platform

The honest baseline: Panjiva is the most well-known source of US import bill of lading data in academic research. Papers published in top journals including the Review of International Economics have cited it. Federal Reserve economists have used it. If your institution already has access through WRDS, it is a solid and defensible data source. This page is for researchers whose institutions do not have access, or whose project budgets cannot support Panjiva's pricing.

What Panjiva Does Well

  • β˜…
    Established citation record: Widely cited in academic research, making it a credible source reference for journal submissions.
  • β˜…
    Multi-country coverage: Over 20 countries including US, Brazil, India, China, Vietnam. Stronger than Kirchner for multi-country trade research.
  • β˜…
    Institutional access via WRDS: Universities already subscribing to Wharton Research Data Services may have access through their existing subscription.
  • β˜…
    Scale of historical data: Over 2 billion shipment records with US data from 2007 onwards.

Where Panjiva Falls Short for Academic Researchers

  • Pricing is enterprise-grade, not research-grade. Typical university access costs $20,000 to $30,000 or more per year, negotiated with an S&P Global enterprise sales team. This is outside the budget of most individual research projects, dissertation grants, and departmental allocations.
  • Not built specifically for economic analysis. The platform's tools are designed for supply chain professionals tracking shipments, not for building econometric datasets, running panel regressions, or constructing firm-level trade exposure measures.
  • S&P Global is not an academic partner. The company's customers are investment banks, Fortune 500 procurement teams, and logistics firms. Academic researchers are a small segment of their business, and support reflects that priority.
  • WRDS access is not universal. Not all universities subscribe to WRDS, and Panjiva is not included in base WRDS subscriptions. It requires a separate licensing agreement that many institutions have not negotiated.
Context worth knowing

S&P Global acquired Panjiva in February 2018. S&P Global Inc. (NYSE: SPGI) is one of the world's largest financial data corporations with approximately 35,000 employees and annual revenues exceeding $10 billion. A university research team negotiating data access with Panjiva is negotiating with a Fortune 500 enterprise whose primary customers are institutional investors and global corporations, not academic departments. Kirchner was built specifically for academic research, by a researcher, and that difference shows in pricing, tooling, and support.

K
Why Researchers Choose Kirchner Over Panjiva

Kirchner Was Built
by Someone Who Needed This Data
and Could Not Afford Panjiva.

The founder of Kirchner received a 160,000 euro EU government grant to work with US import bill of lading data at Ulm University. That work meant living with the same data access frustrations that many academic researchers face: expensive platforms built for corporate users, query interfaces not suited to economic analysis, and support from people who do not know the dataset deeply.

Kirchner is the tool that came out of that experience. A direct pipeline from CBP-filed bills of lading to a research-grade interface, with a custom playground where researchers can build their own analysis tools. Priced for academic budgets. Supported by people who work with the data themselves.

Talk to the Kirchner team
$10K
Starting annual price vs Panjiva's $25K+
1.2M
Bills of lading per month, 360+ US ocean ports
35
Data fields per bill of lading record
5+
Leading research universities served
Trusted by researchers at leading institutions
Head-to-Head

Panjiva vs Kirchner
Complete Comparison for Academic Researchers

Panjiva (S&P Global) Kirchner β˜…
Ownership Subsidiary of S&P Global Inc. (NYSE: SPGI), acquired 2018 Independent. Founded by a researcher at Ulm University with EU government grant funding.
Primary Customer Corporate supply chain teams, institutional investors, logistics firms Economics professors, PhD students, university research teams Academic-First
US Import Data βœ“ CBP bills of lading, US data from 2007+ βœ“ CBP bills of lading, US data from 2007+, 1.2M records/month, 360+ ports Same Source
Country Coverage βœ“ 20+ countries: US, Brazil, India, China, Vietnam and more β—‘ US Ocean Imports. Optimized for deep US analysis.
Academic Pricing βœ— Typically $20,000 to $30,000+ per year, enterprise negotiation βœ“ From $10,000 per year. Direct, transparent pricing for research teams. 60% Less
Research Tools Query interface designed for supply chain professionals βœ“ Custom research playground: build your own analysis tools and dashboards Unique
Data Fields per Record 43+ fields per shipment 35 fields per bill of lading record
Access Route Direct subscription or via WRDS (requires institutional WRDS subscription + Panjiva add-on) βœ“ Direct. No WRDS subscription required. No enterprise procurement cycle. Simple
Support Quality Enterprise support team. Deep data expertise variable. βœ“ Direct access to the research team that works with this data daily Expert
Citation Precedent βœ“ Widely cited in journals including Review of International Economics, Fed working papers β—‘ Growing. Same underlying CBP data source.
Panjiva vs Kirchner: Who Should Switch

Should You Use Panjiva or Kirchner?
The honest breakdown for academic researchers.

Stay with Panjiva If...

  • β†’
    Your institution already has Panjiva access through WRDS at no additional cost to your project budget.
  • β†’
    Your research requires multi-country trade data beyond US imports: Brazil, India, China, Vietnam coverage.
  • β†’
    You need the established citation credibility of a data source already cited in your target journals.
  • β†’
    Your institution has the procurement infrastructure to negotiate an enterprise contract and the budget to match it.

Switch to Kirchner If...

  • β†’
    Panjiva's pricing exceeds your grant or departmental budget and you need US import data for your research.
  • β†’
    Your research is focused on US ocean imports: tariff impacts, supply chain resilience, firm-level trade exposure, COVID-19 disruptions.
  • β†’
    You want a custom research interface where you can build your own dashboards and analytical tools, not just query a pre-built system.
  • β†’
    You want support from researchers who know this data deeply, not from a corporate helpdesk managing thousands of enterprise accounts.
  • β†’
    You want to start quickly, without a 6-month institutional procurement cycle and enterprise contract negotiation.

Ready to Access US Import Data at Academic Pricing?

Skip the enterprise sales cycle. Send us a message about your research. We respond directly from the team, with a clear answer about whether Kirchner fits your project.

Request Access to Kirchner
Why Kirchner Is the Strongest Panjiva Alternative for Academic Research

Five Things Kirchner Does
That Panjiva Does Not Do for Researchers

01

Academic Pricing, Not Enterprise Pricing

Kirchner starts at $10,000 per year for complete US Ocean Import Bills of Lading data. Panjiva's typical academic pricing is $25,000 or more, negotiated as an enterprise contract. For a dissertation researcher or early-career professor, that difference is the difference between having the data and not having it.

02

A Custom Research Playground

Kirchner offers a tool where researchers can build their own custom analysis dashboards. Not a fixed query interface designed for supply chain managers. A playground where your specific research questions can be turned into reusable analytical tools. This is what makes research fast and reproducible across a project or a team.

03

Built by a Researcher, Not a Sales Team

The founder received a 160,000 euro EU government grant working with this data at Ulm University. The team knows the data the way a researcher does: how manifest amendments work, how carrier consolidation affects shipper identification, what the edge cases mean for your panel. Enterprise support cannot give you that.

04

Same Underlying Data, Directly Accessible

Both Kirchner and Panjiva source US import data from CBP bills of lading. Kirchner provides approximately 1.2 million monthly records with 35 fields per bill, covering all 360-plus US ocean ports from 2007 onwards. You get the same fundamental dataset without the enterprise pricing and the institutional procurement overhead.

05

No Enterprise Procurement Cycle

Getting Panjiva through WRDS requires your institution to have a WRDS subscription, then negotiate a Panjiva add-on license, then go through institutional approval processes that typically take months. Kirchner is a direct conversation with the team. If you need the data for a paper due in three months, that matters.

How to Switch from Panjiva to Kirchner

Three Steps to Kirchner Access
for Your Research Project

01

Describe Your Research

Tell us about your project: which trade phenomena you are studying, the time period you need, the variables that matter, and your timeline. We will tell you exactly what Kirchner can deliver and how it maps to your methodology.

02

Receive a Tailored Proposal

We will send you a clear proposal: the data scope, the format, the research tools you will have access to, and the price. No enterprise negotiation. No 60-day procurement cycle. A straightforward agreement designed for research projects.

03

Start Your Analysis

Access the data, the research playground, and the team. Build your analytical tools, run your queries, and publish your findings. We stay available throughout, because our reputation is built on the research that uses our data.

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.

Why Researchers Choose Kirchner Over Panjiva

Researchers Who Made
Kirchner Their US Import Data Source

"
"Kirchner gave us exactly the US import data we needed for our trade policy analysis. The pricing was realistic for our grant budget, and the team knew the data better than any vendor support I have dealt with before."
Economics Researcher
US Research University
"
"We could not get Panjiva access approved through our institution's procurement in time for the project deadline. Kirchner had the same underlying CBP data, got us access quickly, and the research playground let us build exactly the tools our analysis required."
PhD Researcher
Supply Chain Economics
"
"The custom research tools are what make Kirchner different. Instead of querying a fixed interface, we built our own panel dataset construction pipeline. That kind of flexibility is not something Panjiva offers for academic users."
Trade Economics Professor
International Research Institution
Panjiva vs Kirchner: What Is at Stake for Your Research

Two Research Outcomes.
Choose the Right Data Partner.

⚠️

When the Data Is Out of Reach

  • Your research design has to change because the budget cannot support $25,000 in data access
  • You spend months navigating institutional procurement rather than doing research
  • Your analytical workflow is constrained by a query interface built for supply chain managers, not economists
  • Questions about data methodology go to a corporate helpdesk that does not know the dataset at the research level
  • You build around a less granular substitute dataset and the paper is weaker for it
πŸŽ“

When the Right Partner Is Accessible

  • Complete US import bill of lading data at a price that fits your grant or departmental budget
  • Access in weeks, not months: no enterprise procurement cycle to navigate
  • A custom research playground where you build the analytical tools your specific methodology requires
  • Support from researchers who know how the data was collected, what the edge cases mean, and how others have solved the same problems
  • Your paper uses the right data, your methodology is clean, and the analysis is what it should be
Panjiva Alternative: Common Questions from Researchers

Panjiva vs Kirchner FAQ
What Academic Researchers Ask Most

What is the best Panjiva alternative for university research? +

Kirchner is the strongest Panjiva alternative for academic researchers focused on US import data. It was built by a researcher who received EU government funding working with CBP bill of lading data at Ulm University, priced at approximately $10,000 per year versus Panjiva's typical $25,000-plus, and includes a custom research playground for building your own analytical tools. Trusted by researchers at Harvard, Cornell, Purdue, University of Illinois, and HKUST.

How much does Panjiva cost for universities? +

Panjiva does not publish academic pricing. University access is typically available through WRDS as an add-on, requiring both an institutional WRDS subscription and a separate Panjiva license. Direct pricing is typically in the range of $20,000 to $30,000 or more per year, negotiated on an enterprise basis with S&P Global. Kirchner offers the same US CBP bill of lading source data at approximately $10,000 per year, making it significantly more accessible for research budgets.

Does Kirchner have the same data as Panjiva for US imports? +

For US ocean import research, yes. Both Kirchner and Panjiva source their data from US Customs and Border Protection bills of lading, the same public records. Kirchner provides approximately 1.2 million monthly bills of lading with 35 fields per record, covering all 360-plus US ocean ports with data from 2007 onwards. Panjiva has broader country coverage (20+ countries), making it stronger for multi-country research, while Kirchner is optimized specifically for US import analysis.

Who owns Panjiva and does it matter for academic access? +

Panjiva was acquired by S&P Global in February 2018. S&P Global Inc. (NYSE: SPGI) is a Fortune 500 financial data corporation with approximately 35,000 employees. It matters for academic access because university research teams are a small segment of Panjiva's customer base, which is primarily corporate supply chain teams and institutional investors. Pricing, tooling, and support are oriented toward enterprise customers. Kirchner was built specifically for academic researchers, and that context shapes every aspect of the product.

Can I access Panjiva data through WRDS? +

Yes. Panjiva data is available through Wharton Research Data Services (WRDS) as a separately licensed add-on dataset. WRDS is used by over 500 institutions, but Panjiva is not included in the base WRDS subscription and requires a separate negotiated license. Not all WRDS-subscribing universities have Panjiva access. Kirchner provides a direct route to US import bill of lading data without requiring a WRDS subscription, at a lower cost and with faster access.

What research has used US bills of lading data? +

US bill of lading data has supported a broad range of published research, including Federal Reserve studies of COVID-19 supply chain disruptions (Flaaen et al., 2023, Review of International Economics), tariff impact analyses under US-China trade tensions, studies of concentration in international markets, firm-level trade exposure research linked to financial outcomes, and supply chain resilience analysis. The data is used across economics, finance, international business, supply chain management, and public policy.

Is Kirchner suitable for PhD dissertation research? +

Yes. Kirchner was built with exactly this use case in mind. PhD students working on dissertations in trade economics, supply chain, international business, or public policy represent a core Kirchner user group. The pricing is structured to be accessible for dissertation grants and departmental research budgets, and the research playground is designed to support the kind of exploratory analytical work that dissertation research requires. Reach out directly to discuss your project and budget.

Get Access to Kirchner: The Panjiva Alternative for Academic Research

Tell the Kirchner Team
About Your Research Project

What Happens Next

  • 1
    We read your message personally, typically within 24 hours. No automated sales sequence.
  • 2
    We tell you honestly whether Kirchner fits your research, including cases where Panjiva through WRDS is the better option for your institution.
  • 3
    If we are a fit, we send a clear proposal: data scope, format, research tools, price. No enterprise negotiation.

Kirchner
Ulm University affiliated research team
Germany

www.kirchnerdata.com

Direct reply from the research team, not an automated system.
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