Download BLOCS
The Bilateral Longitudinal Observations and Country Statistics (BLOCS) database is an open source, validated aggregation of internationally recognized data made available for research purposes. It consists of varying measures for bilateral trade data from 1948 to 2023 and bilateral investment data between 2001 and 2023. These data are accompanied by an extensive set of variables that consider additional economic, political, cultural, institutional and societal factors assigned to each pair of countries for every year.
BLOCS began as “As a Database for Investigating Foreign Direct Investment” in 2016 (Wu J.P. et al, 2017). We have developed this project for our own research and wish to share it with the research community to reduce the resources required to explore bilateral country pair observations, with varying coding practices, across time. We offer varying measures of the same, or similar, attributes and phenomena by transforming time series and other data formats into comparable bilateral panel data. We hope you can use it for your research and welcome any additions if you wish to share your merges with our lab.
Please find the complete dataset and documentation:
This release: 31-August 2026.
Next available release scheduled for: 31-July 2027.
This data can be cited using the following reference:
Wu. J.P., Banach, C., Delgadillo Canqui A., Duspara A., Silva Neira I., Valenzuela,. F. (2026). BLOCS Codebook: Bilateral Longitudinal Observations and Country Statistics (Version 4.0). Aletheia White Paper Series 04/26
Please use the following references for version 3.2:
Wu. J.P., Silva Neira I., Banach, C., Goulas, S. (2026). Building BLOCS and Stepping Stones: Combined Data for International Economic and Policy Analysis, International Interactions, 1–31. https://doi.org/10.1080/03050629.2026.2715480
Wu. J.P., Banach, C., Duspara A., Silva Neira I., Valenzuela,. F. (2025). BLOCS Codebook: Bilateral Longitudinal Observations and Country Statistics (Version 3.2). Aletheia White Paper Series 03/25
Wu. J.P., Banach, C., Goulas, S., Silva Neira I. (2024). Building BLOCS and Stepping Stones: Combined Data for International Economic and Policy Analysis v3.2. IPE Berlin Working Paper, No 239/2024
Additional information about BLOCS v4.0
BLOCS 4.0 introduces several substantive and structural improvements to prior releases. Bilateral trade and trade-agreement coverage has been updated through 2023, UN country codes have been updated to the 2026 standards and continental and regional classifications have been added. The database now incorporates technological-intensity classifications for product-level trade using the SITC–Lall Concordance. It also adds the World Bank’s Deep Trade Agreements data.
The BLOCS Lab is dedicated to constant process improvement and the advancement of our collective understanding of relationships that exist between economies. We hope our project can be useful for early stage researchers as well as researchers in need of a robust multi-measure database for complex analysis of country pairs. By integrating a broad range of data and validating observations, BLOCS provides a unique platform for uncovering new insights into the dynamics of global trade and investment. Future expansions and updates are planned to reflect changing economic trends and institutional changes. We are hopeful that BLOCS can be a relevant and valuable resource for exploring dynamic economic relationships between countries that include institutional, historical and cultural variables. Please contact us if you have any suggestions for improvement or would like to contribute to the work we do at our lab.
We are in the process of developing a query that will allow users to select years and variables for export. Until then the entire file and the process by which it was developed can be found by clicking the link below. Please send us an email if you find bugs, or can offer any suggestions for upcoming releases.
Data Sources Used in the Construction of BLOCS
*citations are listed in the order in which they were merged.
Direction of Trade Statistics (IMF)
IMF (2020a), Direction of Trade Statistics, http://data.imf.org/DOT.
World Trade Flows (Robert Feenstra)
Feenstra, R., Romalis, J. (2016) World Trade Flows Bilateral Data, https://www.robertcfeenstra.com/data.html
Bilateral Product Trade Flows (CEPII)
CEPII (2020), BACI International Trade Database at the Product-Level, http://www.cepii.fr/cepii/en/bdd_modele/BACI
Regional Trade Agreements (Mario Larch)
“Mario Larch’s Regional Trade Agreements Database from Egger and Larch (2008)” where Egger and Larch (2008) refers to the following paper: Egger, Peter H. and Mario Larch (2008), Interdependent Preferential Trade Agreement Memberships: An Empirical Analysis, Journal of International Economics 76(2), pp. 384-399. https://www.ewf.uni-bayreuth.de/en/research/RTA-data/index.html
Tariff Data (Andrew Rose)
Andrew Rose’s Tariff Dataset from Furceri et al. (2019)” where Fuceri et al. refers to the following paper: Fuceri, D., Hannan, J., Ostry, D., and Rose, A. (2019), The Macro Economy After Tariffs (Working Paper) website: https://www.andrewkrose.net dataset: zip file containing data and notes
Bilateral FDI Stocks and Flows (IMF) (UNCTAD)
IMF (2020) Coordinate Direct Investment Survey (CDIS), https://data.imf.org/?sk=40313609-F037-48C1-84B1-E1F1CE54D6D5
UNCTAD (2020) FDI/TNC database, https://unctad.org/topic/investment/investment-statistics-and-trends
Design of Trade Agreements (DESTA)
Dür, Andreas, Leonardo Baccini and Manfred Elsig. 2014. “The Design of International Trade Agreements: Introducing a New Database”. Review of International Organizations, 9(3): 353-375. https://www.designoftradeagreements.org/downloads/
Regime Authority Characteristics (CSP)
CSP (2018), Integrated Network for Societal Conflict Research, https://www.systemicpeace.org/inscrdata.html
International Financial Statistics (IMF)
IMF (2020b), International Financial Statistics, https://data.imf.org/IFS
Balance of Payments (IMF)
IMF (2020c), International Financial Statistics, https://data.imf.org/BOP
Data for Gravity Analysis (CEPII)
CEPII (2020) Gravity database, http://www.cepii.fr/cepii/en/bdd_modele/presentation.asp?id=8
UNESCO Institute for Statistics (UIS)
UNESCO (2021a), UNESCO Institute for Statistics, Education and Science, https://apiportal.uis.unesco.org/bdds
World Development Indicators (World Bank)
World Bank (2021b), World Development Indicators, https://databank.worldbank.org/source/world-development-indicators
Worldwide Governance Indicators (World Bank)
World Bank (2021c), Worldwide Governance Indicators, https://info.worldbank.org/governance/wgi/
Meta Analysis EMU Trade Effects (Andrew Rose)
Andrew Rose’s EMU Trade Effects Dataset refers to the following paper: Rose, A (2017). Why do Estimates of the EMU Effect on Trade Vary So Much?. NBER Working Paper 22678. (Working Paper) website: https://www.andrewkrose.net/ dataset: zip file containing data and notes
EIA Economic Integration Agreement Data (Jeffrey Bergstrand)
Economic Integration Agreement Data (2021), https://sites.nd.edu/jeffrey-bergstrand/database-on-economic-integration-agreements/
