Building BLOCS

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.

Bulk Download v4.0

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)
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)