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

✔ Bank Data Enrichment

✔ Account Profiling

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

Global Sanction Screening and Access Options

Our Global Sanction Lists Database is a powerful tool designed for quick and easy global sanction screening and verification of both individuals and organizations listed on international sanction lists. This service emphasizes the fight against money laundering and terrorism financing (AML-CFT), ensuring your business stays in line with global regulations. We keep our database up to date every day, processed into a professional and secure system, giving you access to the most current information.

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EU-Level PEP Screening and Access Options

Our service provides exclusive access to a database for EU-level PEP screening of Politically Exposed Persons at the European Union level. It empowers obligated entities to efficiently identify individuals with significant public roles within EU institutions and bodies. This database provides insights into persons currently in or those who have held significant public positions in Brussels and other EU institutions in the last 12 months. It spans not only individuals in key positions but also their relatives, broadening the scope for risk assessment. With daily updates from diverse public sources and careful manual processing, our database aids organizations in effectively navigating compliance and mitigating PEP-related risks.

PEP Group 1: Significant Public Functions

Includes individuals currently in or who have in the last 12 months held function of significant public role as defined by the Directive of the European Parliament and of the Council EU 2015/849 and further detailed in the Commission Decision C/2002/3105. Profiles generally include the exact date of birth and usually the domicile. In cases where the full date of birth is not available, the indication "Partially Identified PEP" is displayed. Individuals with enduring risks are recorded for up to five years after ending their function, especially for positions of pan-European significance or extended duration.

Specific Positions within PEP Group 1: Executive Authority Leaders Legislative Members Judges Members of the European Central Bank Bodies Members of the Court of Auditors Ambassadors and Chargés d’Affaires

PEP Groups 2 - 4 and 7: Family and Close Associates

Includes spouses/partners, children (including sons-in-law and daughters-in-law), and parents of individuals in Group PEP1, as well as individuals in a familial or similar relationship.

Specification PEP2: Spouse/partner PEP3: Child/son-in-law/daughter-in-law PEP4: Parent PEP7: Individuals in a long-term familial or similar relationship

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.

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).

Individuals and entities sanctioned by the Estonia government

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.

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

This data package includes the PIIE dataset to replicate the data and charts presented in The rise of US economic sanctions on China: Analysis of a new PIIE dataset by Martin Chorzempa, Mary E. Lovely, and Christine Wan, PIIE Policy Brief 24-14.

If you use the dataset, please cite as: Chorzempa, Martin, Mary E. Lovely, and Christine Wan. 2024. The rise of US economic sanctions on China: Analysis of a new PIIE dataset, PIIE Policy Brief 24-14. Washington, DC: Peterson Institute for International Economics.

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.

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

Comprehensive dataset of global anti-doping sanctions from 1968 to present, including athlete sanctions, substances involved, countries, and sports disciplines.

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.

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

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.

This paper investigates the effects of U.S. economic sanctions on UN General Assembly voting patterns. Using panel data for 123 developing countries from 1990–2014, and employing an instrumental variables approach to account for potential endogeneity, we find that U.S.- imposed sanctions generally lead to a decline in voting coincidence between the U.S. and target countries when the sanctioned country receives low U.S. aid. However, in instances where the U.S. sanctions countries dependent on U.S. foreign aid, we find targets are increasingly more likely to vote with the U.S. This is because sanctions send a credible signal of the U.S.’s willingness to carry out punishment and cancel future aid to countries that publicly oppose it. Our research shows how sanctions alone tend to pull countries apart while, together with aid dependence, have the potential to bring countries in line with the U.S.’s position on issues, adding nuance to the sanctions literature.

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

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.

About this Dataset

  Sanctions Connect is the world’s most comprehensive and largest events-based sanctions data asset. As of August 2021, it covers all countries, over 10 years of records constituting of over 7000 events, collected by researching and monitoring via 11,000+ unique sources. It includes extra data points like Sports sanctions, Trade related sanctions, Terrorism related sanctions, and Vessels & Ports related sanctions other than the usual sanction parameters. 
  Users can access this data by directly contacting ZIGRAM via sending an email to siddharth.sabu@zigram.tech. 
  Pricing available on request.

Category

Business Information & Financials

Keywords

Sanctions,Events,Financial Sanctions

Row Count

11

Price

$250.00