With in-depth information on individuals who have been included in the international sanctions list and are currently facing economic sanctions from various countries and international organizations, you can benefit greatly. Our list includes key data attributes such as - first name, last name, citizenship, passport details, address, date of proscription & reason for listing. The comprehensive information on individuals listed on the international sanctions list helps organizations ensure compliance with sanctions regulations and avoid any potential risks associated with doing business with sanctioned entities.

Popular attributes:

✔ Financial Intelligence

✔ Credit Risk Analysis

✔ Compliance

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✔ Account Profiling

Consolidated list of sanctioned entities designated by different countries and international organisations. This can include military, trade and travel restrictions.

Data are aggregated real-time from 38 of the world's largest sanction lists: - EU: Common Foreign and Security Policy (CFSP) of the European Union (Sanctions EU) - EU: Financial Sanctions Files (FSF) - EU: EU Sanctions Map European Union - UN: Consolidated United Nations Security Council Sanctions List (UN Sanctions List) - UK: HR Treasury (HMT) Financial sanctions: Consolidated List of Targets (UK) - UK: Current List of designated persons, terrorism and terrorist financing - UK: UK Insolvency Disqualified Directors - UK: UK OFSI Consolidated List of Targets - USA: OFAC Consolidated (non-SDN) List - USA: OFAC Specially Designated Nationals (SDN) List (U.S. Treasury) - USA: OFAC Foreign Sanctions Evaders (FSE) List (U.S. Treasury) - USA: Sectoral Sanctions Identifications (SSI) List - USA: Palestinian Legislative Council (NS-PLC) list - USA: US BIS Denied Persons List - USA: US Trade Consolidated Screening List (CSL) - USA: The List of Foreign Financial Institutions Subject to Part 561 (the Part 561 List) - USA: Non-SDN Iranian Sanctions Act (NS-ISA) List - USA: List of Persons Identified as Blocked Solely Pursuant to Executive Order 13599 (the 13599 List) - AR: Argentine RePET - AUS: The Sanctions Consolidated List - BL: Consolidated List of the National Belgian List and of the List of European Sanctions - BL: Belgian Financial Sanctions
- CAN: Canadian Listed Terrorist Entities - CAN: Canadian Special Economic Measures Act Sanctions - CAN: Consolidated Canadian Autonomous Sanctions List - CH: Swiss SECO Sanctions/Embargoes - FR: French Freezing of Assets - IL: Israel Terrorists Organizations and Unauthorized Associations lists - JP: Japan Economic sanctions and list of eligible people - KG: Kyrgyz Nation List - KZ: Kazakh Terror Financing list - PL: Polish list of persons and entities subject to sanctions - RUS: Rosfinmonitoring WMD-related entities - SIN: Singapore Targeted Financial Sanctions - UA: Ukraine National Security Sanctions - UA: Ukraine SFMS Blacklist - UA: Ukraine NABC Sanctions Tracker - ZA: South African Targeted Financial Sanctions

The dataset is composed of the entire universe of sanctions regimes imposed by the UN, US and EU in the period from 1990 to 2010, including those sanctions regimes that were in place by 1990, targeting a country, its leadership and entities associated with it. Episodes which are still on-going are also recorded. Included are all sanctioned countries which have been coded – at least – at the start of sanction episodes as “autocratic regimes” by the Hadenius/Teorell/Wahman dataset on authoritarian regimes (2012).

In its policy, the European Union intervenes when necessary to prevent conflict or in response to emerging or actual crises. In certain cases, EU intervention can take the form of restrictive measures or 'sanctions'. The application of financial sanctions and more precisely the freezing of assets constitutes an obligation for both the public and private sector. In this regard, a particular responsibility falls on credit and financial institutions, since they are involved in the bulk of financial transfers.

In order to facilitate the application of financial sanctions, the European Banking Federation, the European Savings Banks Group, the European Association of Co-operative Banks, the European Association of Public Banks ("the EU Credit Sector Federations") and the European Commission recognised the need for an EU consolidated list of persons, groups and entities subject to financial sanctions and more precisely the freezing of assets. The Credit Sector Federations set up an initial database containing the consolidated list. The European Commission subsequently took over this database and is responsible for its maintenance and for keeping the consolidated list of sanctions up-to-date. In this respect, the European Commission launched a new Web page in June 2017, where the consolidated lists of financial sanctions consisting in freezing of assets are published in different formats (see link below).

Disclaimer: While every effort is made to ensure that the database and the consolidated list correctly reproduce all relevant data of the officially adopted texts published in the Official Journal of the European Union, neither the Commission nor the EU Credit Sector Federations accepts any liability for possible omissions of relevant data or mistakes, and nor for any use the database or of the consolidated list. Only the information published in the Official Journal of the EU is deemed authentic. Please note that the information in this dataset may not be fully up to date because updates are delayed compared to the relevant publications in the EU's Official Journal.

Individuals and entities sanctioned by the Estonia government

Individuals and entities in the sanctions list of the Islamic Republic of Iran

Over the years, we have developed distinct competencies in numerous areas so that our clients can rely on the Business Information Reports they purchase from us. Operating on the globe, we are able to provide local/regional intelligence with the most up-to-date and accurate information.

We have local presence in each country we provide information to, through our own offices or via our global network of partners that extends to more than 227 countries worldwide.

Our International Credit Reports include, among other, data on
• Shareholders & Directors • Secretary • Registered Number & Registered Address • Date of registration • Capital • Charges • Company Activities • Shareholding and/or Director Relationships • Detrimental Data • Payment records • Financial statements • Credit Scoring Assessment

Our Due Diligence Report, include: • Relationship Checks • Global KYC Screening • Negative & Local language media checks • Site & Reputation Check • Legal cases relating to the primary subject and its related entities • General media information • Passport/ID authentication • Official Documents and Certificates

Our KYC Reports investigate the subject entity against the following Global lists, amongst other categories: • Sanction Lists • Enforcement Lists • Arms Trafficking • Drug Trafficking • Fraud • Money Laundering • Terrorism • Adverse Media • Political Exposed Persons • State Owned Entities

Our local knowledge and understanding of languages, laws, customs, culture economy and commercial parameters in every country, provide us the advantage of having reliable and relevant products and services no matter where your target company is located.

No description is available. Visit https://dataone.org/datasets/sha256%3Ae1b9163b11078f54ae4c9aad34162b83a45bf53a3c8677c71214e71015a84965 for complete metadata about this dataset.

Between February 22, 2022, and January 11, 2024, territories and organizations worldwide imposed over 16,000 restrictions on individuals from Russia. Furthermore, roughly 9,300 list-based sanctions were placed on entities over that period. The sanctions were first placed due to the country's recognition of the separatist Donetsk and Luhansk People's Republics (DPR and LPR) and then due to its military attack on Ukraine. Restrictions targeting individuals typically include asset freezes and travel bans. Sanctions on Russia prior to the war in Ukraine Over the past decade, Western countries have placed restrictions on Russia for various reasons. In 2014, when Russia annexed Crimea and Sevastopol, the EU restricted entry to several individuals and froze assets of companies allegedly responsible for undermining and threatening Ukraine's territorial integrity. Furthermore, the EU and the U.S. sanctioned several persons and companies in relation to human rights violations and the use of chemical weapons, referring to the poisonings of Sergei and Yulia Skripal and Alexei Navalny. In addition, the United States imposed measures on Russia over its malicious cyber activities and evading United Nations (UN) sanctions restricting trade and financial transactions with North Korea, Syria, and Venezuela.

Sanctions imposed by Canada on specific countries, organizations, or individuals under the Special Economic Measures Act (SEMA) and JVCFOA

This paper examines whether economic sanctions destabilize authoritarian rulers. We argue that the effect of sanctions is mediated by the type of authoritarian regime against which sanctions are imposed. Because personalist regimes and monarchies are more sensitive to the loss of external sources of revenue (such as foreign aid and taxes on trade) to fund patronage, rulers in these regimes are more likely to be destabilized by sanctions than leaders in other types of regimes. In contrast, when dominant single-party and military regimes are subject to sanctions, they increase their tax revenues and reallocate their expenditures to increase their levels of cooptation and repression. Using data on sanction episodes and authoritarian regimes from 1960 to 1997 and selection-corrected survival models, we test whether sanctions destabilize authoritarian rulers in different types of regimes. We find that personalist dictators are more vulnerable to foreign pressure than other types of dictators. We also analyze the modes of authoritarian leader exit and find that sanctions increase the likelihood of a regular and an irregular change of ruler, such as a coup, in personalist regimes. In single-party and military regimes, however, sanctions have little effect on leadership stability.

Sanctions Screening for Trade Compliance Market Outlook

According to our latest research, the global Sanctions Screening for Trade Compliance market size reached USD 1.76 billion in 2024, with the market projected to grow at a robust CAGR of 13.2% from 2025 to 2033. By the end of 2033, the market is expected to reach a value of USD 5.17 billion. This impressive growth trajectory is fueled by escalating regulatory requirements, increased cross-border trade volumes, and the expanding complexity of global supply chains, which have made sanctions screening an indispensable part of modern trade compliance strategies.

One of the primary growth factors driving the Sanctions Screening for Trade Compliance market is the intensification of global regulatory frameworks. Governments and international bodies such as the United Nations, European Union, and the United States Office of Foreign Assets Control (OFAC) are continuously updating and expanding their sanctions lists. This dynamic regulatory environment compels organizations to implement robust sanctions screening solutions to avoid hefty penalties, reputational damage, and disruptions in business operations. The need to ensure real-time, accurate, and comprehensive screening of entities, goods, and transactions has led to a surge in demand for advanced trade compliance technologies, particularly among multinational corporations and financial institutions.

Another significant growth driver is the exponential increase in cross-border trade and the globalization of supply chains. As businesses expand internationally, they face heightened exposure to sanctioned entities and jurisdictions. The complexity of tracking and verifying all parties involved in global trade transactions has intensified, making manual compliance processes insufficient and error-prone. Consequently, organizations are investing in automated sanctions screening solutions that leverage artificial intelligence, machine learning, and big data analytics to streamline compliance workflows, minimize false positives, and ensure timely identification of potential risks. This trend is particularly pronounced in sectors such as banking, logistics, and manufacturing, where the volume and velocity of transactions are exceptionally high.

Technological advancements also play a pivotal role in the market’s expansion. The integration of cloud-based platforms, API-driven architectures, and advanced analytics has revolutionized the way organizations approach trade compliance. These technologies enable seamless integration with existing enterprise systems, provide scalability to accommodate growing data volumes, and offer enhanced reporting and audit capabilities. Furthermore, the rise of RegTech (regulatory technology) startups and partnerships between technology providers and compliance specialists are fostering innovation, making cutting-edge sanctions screening solutions more accessible to organizations of all sizes. This democratization of technology is expected to further accelerate market growth over the forecast period.

From a regional perspective, North America currently commands the largest share of the global Sanctions Screening for Trade Compliance market, underpinned by stringent regulatory enforcement, a mature financial sector, and early adoption of advanced compliance technologies. Europe follows closely, driven by evolving EU regulations and the presence of major multinational corporations. Meanwhile, the Asia Pacific region is poised for the fastest growth, fueled by rapid economic development, increasing cross-border trade, and rising awareness of trade compliance risks. Latin America and the Middle East & Africa are also witnessing steady growth as governments strengthen their regulatory frameworks and local enterprises expand their global footprint.

Component Analysis

The Sanctions Screening for Trade Compliance market is segmented by component into software and services, with each segment playing a critical role in the overall compliance ecosystem. The software segment dominates the market, accounting for the largest share in 2024, owing to the increasing adoption of automated screening tools that can process vast amounts of data in real time. These solutions are designed to integrate seamlessly with enterprise resource planning (ERP) and trade management systems, providing organizations with the capability to screen customers, suppliers, and transactions against constantly updated global sanctions lists.

Sanctions imposed by Japan under its Foreign Exchange and Foreign Trade Law.

We use Efficiency to represent GDP divided by energy use, Unilateral to represent sanctions imposed by either the U.S. or the EU only, Plurilateral to represent the sanctions imposed by the U.S. and the EU jointly, Multilateral (or UN) to represent the international sanctions imposed by the United Nations, US, EU, and UN to stand for the sanction senders, Eco to represent that the sanctions affect the economy, Non-eco to represent that the sanctions do not affect the economy, Intensity to represent the formal intensity of sanctions, GDP to stand for per capita GDP of the target state, FDI to represent the net inflows of foreign direct investment, Investment to stand for the gross fixed capital formation as a percent of GDP, Industry to represent percentage of energy industry value added to GDP, Ideology to stand for the ideological orientation of the respective government, Urbanization to represent the proportion of urban population, and Openness to stand for exports plus imports as a percentage of GDP.

Includes data and code for replication, as well as supplementary online appendix.

Synchronize your watchlist screening! Get access to the world’s largest set of data for people and companies that may pose a risk to your organization. Our system screens over 100 billion requests daily, covering more than 50 risk categories such as sanctions and money laundering. Each profile includes multiple data points, including photos, and we add around 30,000 new records and update 40,000 records every month. Our database includes over 800 global sanctions and watchlists, 2.5 million profiles of PEPs and related entities, and 35,000 global adverse media sources. Our solution complies with over 100 AML/CFT laws, including the USA Patriot Act and the EU AML Directives. We offer batch screening options and monitor large third-party databases, allowing for customized screening that incorporates company-specific blacklists, all accessible through API integration.

The International Sanctions Termination (IST) dataset is composed of the entire universe of sanctions imposed by the EU, UN, US and regional organizations in the period from 1990 to 2018, including those that were already in place by 1990 and those still ongoing. The dataset covers 399 cases, its data structure is dyadic, and the core unit of analysis is a sanctions case. If several senders impose restrictions on the same target, the dataset contains a separate case for each sender to provide sender-specific information on variables such as sanctions costs, goals or outcomes. It contains information on the design of sanctions – including expiry dates, review provisions and termination requirements – and captures the gradual process of adapting and ending sanctions. The main sources of information for coding are (inter)governmental documents that stipulate the implementation, extension, adaptation and removal of sanctions. The IST dataset is currently being updated to include the years 2019, 2020 and 2021. When using the data, please cite: Attia, Hana and Julia Grauvogel. Forthcoming. International Sanctions Termination, 1990–2018: Introducing the IST Dataset. Journal of Peace Research.

Terrorism has shown a trend of organizational cooperation in a large number of terrorist attacks around the world, posting a great challenge to counter-terrorism efforts. To investigate the trend and pattern of global terrorist organizational cooperations and to propose effective measures for effectively enforcing and restricting terrorist attacks, based on the Global Terrorism Database and the UN sanctions list of terrorist groups, this study constructs a cooperative evolutionary network of terrorist organizations from 119,803 terrorist attacks that occurred globally between 2001 and 2018. The evolution of worldwide terrorist cooperation is evaluated in terms of network characteristics, including key nodes, cohesion, and motifs. The network keeps expanding, with a large number of new nodes emerging each year. On average, there are 13 additional organizations entering in the collaboration network each year, with a yearly survival rate of about 34.66%, and the rank of node importance iterate and update frequently. Through k-core decomposition, for which the breakdown of the network has increased from three to five partitions, we find that the core of the terrorist organization’s cooperation network changes much less frequently than the edges. The dominating modal structure of the network is the "star" motif (90%), and "triadic closed" motif (9%). We conclude that, over time, the cooperative network of terrorist groups has gradually evolved into a cluster of star-shaped networks, with various organizations serving as the centers of the networks and showing core-periphery structure in their individual communities. The core organizations are highly connected and stable, whereas the periphery organizations are loosely connected and highly variable.

Sanctions Screening for Cross-Border Payments Market Outlook

According to our latest research, the global sanctions screening for cross-border payments market size reached USD 1.67 billion in 2024, reflecting robust momentum driven by regulatory demands and the intensification of global financial crime compliance. The market is experiencing a healthy growth rate, with a CAGR of 13.4% projected through the forecast period. By 2033, the market is expected to attain a value of USD 5.16 billion, underscoring the increasing importance of automated compliance solutions in the cross-border payments ecosystem. This expansion is primarily fueled by the rising complexity of international sanctions regimes, rapid digitization of financial services, and the persistent threat of money laundering and terrorism financing.

Several critical growth factors are propelling the sanctions screening for cross-border payments market forward. First and foremost, the escalating complexity of global sanctions lists and the frequency of regulatory updates have made manual screening processes inadequate and error-prone. Financial institutions and payment service providers are increasingly adopting advanced software solutions that leverage artificial intelligence, machine learning, and real-time data analytics to automate and enhance the accuracy of sanctions screening. The need to avoid hefty regulatory penalties and reputational damage has made compliance a top priority, resulting in significant investments in robust screening technologies. Furthermore, the proliferation of cross-border transactions, spurred by globalization and the rise of digital commerce, is amplifying the demand for scalable and efficient screening tools capable of handling high transaction volumes without compromising speed or accuracy.

The rapid expansion of fintech companies and the diversification of payment service providers have also contributed to market growth. Fintechs are redefining the payments landscape by introducing innovative, customer-centric solutions that often operate across multiple jurisdictions. This has increased the complexity of compliance, as these entities must adhere to a patchwork of international and local regulations. As a result, fintechs and traditional financial institutions alike are seeking integrated, cloud-based sanctions screening platforms that can be easily updated to reflect regulatory changes and provide real-time alerts. The growing trend of open banking and API-driven architectures further necessitates seamless and interoperable compliance solutions, reinforcing the marketÂ’s upward trajectory.

Additionally, the increasing adoption of cross-border payments by corporates and small-to-medium enterprises (SMEs) is a notable growth driver. As businesses expand their global footprint, they require reliable mechanisms to ensure that their transactions do not inadvertently breach international sanctions. This is particularly critical for sectors such as import-export, manufacturing, and logistics, where cross-border payments are routine. The heightened scrutiny from regulators and the potential for severe financial and legal consequences have made sanctions screening an indispensable component of corporate risk management strategies. Vendors are responding by offering tailored solutions that cater to the unique needs of corporates and SMEs, further broadening the marketÂ’s appeal and applicability.

Sanctions Evasion Detection has become an increasingly critical component of compliance strategies for financial institutions and payment service providers. As global sanctions regimes become more intricate, the ability to detect and prevent sanctions evasion is paramount. This involves leveraging advanced technologies such as artificial intelligence and machine learning to analyze transaction patterns and identify anomalies that may indicate attempts to circumvent sanctions. By integrating these capabilities into their existing compliance frameworks, organizations can enhance their ability to detect suspicious activities in real-time, thereby mitigating the risk of regulatory breaches and associated penalties. The focus on sanctions evasion detection is driving innovation in the development of more sophisticated screening tools that can adapt to the evolving threat landscape and ensure robust compliance across all payment channels.

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