Explore a database of politically exposed persons (PEPs) with details on names, countries, and AML network risk ratings for compliance and due diligence.

The Postsecondary Education Participants System (PEPS) is the Office of Federal Student Aid (FSA) management information system of all organizations that have a role in administering student financial aid and other Higher Education Act programs. PEPS maintains eligibility, certification, demographic, financial, review, audit, and default rate data about schools, lenders, and guarantors participating in the Title IV programs.

A politically exposed person (PEP) is a person that has been entrusted with a prominent public function. PEPs include elected officials and members of government.

Politically Exposed Person (PEP) Data Services Market Outlook

As per our latest research, the global Politically Exposed Person (PEP) Data Services market size reached USD 1.62 billion in 2024, reflecting robust growth driven by the increasing demand for regulatory compliance and risk management across industries. The market is set to expand at a CAGR of 18.1% from 2025 to 2033, with projections indicating that the market will reach approximately USD 7.48 billion by 2033. This growth is primarily fueled by the intensification of anti-money laundering (AML) regulations, the rise in financial crimes, and the globalization of financial services, which necessitate advanced solutions for identifying and monitoring politically exposed persons.

The rapid digitization of financial services and the proliferation of cross-border transactions have significantly contributed to the expansion of the PEP Data Services market. Financial institutions are under mounting pressure to comply with complex and evolving regulatory frameworks such as FATF, AMLD, and FinCEN, which mandate stringent due diligence for PEPs and their associates. The adoption of advanced data analytics, artificial intelligence, and machine learning in PEP screening solutions has enabled organizations to automate and streamline compliance processes, reduce manual errors, and minimize operational risks. Furthermore, the integration of PEP data services with core banking and risk management systems has enhanced the efficiency and accuracy of customer due diligence (CDD) and know-your-customer (KYC) protocols, thereby driving market growth.

Another key growth factor is the increasing awareness among organizations about the reputational and financial risks associated with inadequate PEP screening. High-profile cases of money laundering and corruption involving PEPs have underscored the need for robust screening mechanisms, prompting banks, insurance companies, fintech firms, and legal service providers to invest in comprehensive PEP data services. The growing complexity of global supply chains and the expansion of digital banking have further accentuated the need for real-time, accurate, and up-to-date PEP data, which can be seamlessly integrated into existing compliance workflows. This trend is expected to persist as organizations continue to prioritize transparency, accountability, and regulatory adherence.

In addition, the increasing adoption of cloud-based PEP data services is facilitating greater scalability, flexibility, and cost-effectiveness for organizations of all sizes. Cloud deployment models enable real-time updates, centralized data management, and seamless integration with third-party compliance platforms, making them particularly attractive to small and medium enterprises (SMEs) seeking to enhance their compliance capabilities without incurring significant infrastructure costs. The proliferation of fintech startups and the digital transformation of traditional financial institutions are further accelerating the adoption of cloud-based PEP screening solutions, thereby contributing to the overall growth of the market.

Regionally, North America continues to dominate the PEP Data Services market, accounting for the largest share in 2024, followed by Europe and Asia Pacific. The presence of stringent regulatory frameworks, a mature financial services sector, and a high level of awareness regarding financial crime prevention have positioned North America as the leading market for PEP data services. Europe is also witnessing substantial growth, driven by the implementation of the EU’s AML directives and increasing cross-border financial activities. Meanwhile, the Asia Pacific region is emerging as a high-growth market, fueled by rapid economic development, regulatory reforms, and the expansion of digital banking services. Latin America and the Middle East & Africa are expected to register steady growth, supported by ongoing efforts to strengthen financial crime prevention frameworks and enhance regulatory compliance.

National and sub-national Nigerian Politically Exposed Persons collected by Chipper

PEP Screening Market Outlook

According to our latest research, the global PEP Screening market size is valued at USD 1.82 billion in 2024, demonstrating robust momentum driven by heightened regulatory scrutiny and the increasing need for effective risk management in financial services. The market is projected to expand at a CAGR of 10.7% from 2025 to 2033, reaching a forecasted value of USD 4.13 billion by 2033. This growth is underpinned by the proliferation of digital banking, the rise in financial crimes, and stringent anti-money laundering (AML) compliance requirements worldwide, compelling organizations to adopt advanced PEP screening solutions.

One of the primary growth factors propelling the PEP Screening market is the intensification of regulatory frameworks and global standards targeting financial crimes. Regulatory bodies such as the Financial Action Task Force (FATF), the European UnionÂ’s Fourth and Fifth AML Directives, and the USA PATRIOT Act have mandated rigorous due diligence and ongoing monitoring of politically exposed persons (PEPs) across financial institutions. These evolving requirements necessitate the adoption of sophisticated PEP screening solutions that can seamlessly integrate with existing compliance workflows, automate risk assessment, and ensure real-time alerts for potential threats. The increasing frequency of high-profile financial scandals and penalties for non-compliance has further heightened the urgency for robust PEP screening, making it a non-negotiable component of modern risk management strategies.

Technological advancements are also playing a pivotal role in shaping the PEP Screening market landscape. The integration of artificial intelligence (AI), machine learning, and big data analytics into PEP screening platforms has significantly enhanced their accuracy, scalability, and efficiency. Modern solutions now offer advanced features such as automated data enrichment, dynamic risk scoring, and real-time monitoring, which enable organizations to identify and manage PEP-related risks more effectively. Additionally, the growing adoption of cloud-based deployment models has democratized access to sophisticated screening tools, allowing small and medium enterprises (SMEs) to leverage enterprise-grade compliance solutions without the need for substantial upfront investments in IT infrastructure. This technological democratization is expanding the addressable market and fueling competitive innovation among solution providers.

The accelerating digitization of financial services and the expansion of cross-border transactions are further intensifying the demand for comprehensive PEP screening. As banks, fintechs, and other financial intermediaries onboard customers from diverse geographies, the risk of inadvertently engaging with high-risk individuals or entities increases substantially. This has driven a shift from manual, paper-based screening processes to automated, real-time solutions capable of handling large volumes of customer data. Moreover, the rise of digital onboarding and remote account opening in the wake of the COVID-19 pandemic has made it imperative for organizations to deploy robust PEP screening as part of their Know Your Customer (KYC) and AML programs. The convergence of regulatory, technological, and market forces is thus creating a fertile environment for sustained growth in the PEP Screening market.

Adverse Media Screening has emerged as a crucial component in the broader landscape of risk management and compliance. As financial institutions face increasing pressure to identify potential risks associated with politically exposed persons, adverse media screening provides an additional layer of scrutiny by monitoring news and media sources for negative information. This process helps organizations identify potential reputational risks and financial crimes that may not be immediately apparent through traditional PEP screening methods. By incorporating adverse media screening into their compliance programs, organizations can enhance their ability to detect and mitigate risks, ensuring a more comprehensive approach to due diligence and risk management.

Regionally, North America and Europe dominate the PEP Screening market, accounting for a combined market share of over 65% in 2024. North America, led by the United States, benefits from a mature regu

Politically Exposed Person (PEP) Data Services Market Outlook

According to our latest research, the global Politically Exposed Person (PEP) Data Services market size reached USD 1.42 billion in 2024, with a robust year-on-year growth rate. The market is expected to expand at a CAGR of 12.8% from 2025 to 2033, culminating in a projected market value of USD 4.22 billion by 2033. This remarkable growth trajectory is primarily driven by increasing regulatory scrutiny, heightened concerns over money laundering and terrorist financing, and the rising demand for advanced compliance solutions across various industries worldwide.

A significant growth factor for the Politically Exposed Person (PEP) Data Services market is the intensification of global anti-money laundering (AML) and counter-terrorism financing (CTF) regulations. Governments and regulatory bodies across the globe have strengthened their stance on financial crimes, requiring financial institutions, insurance companies, and other regulated entities to adopt more comprehensive due diligence processes. The need to identify and monitor PEPs, who are considered high-risk due to their potential involvement in corruption and illicit activities, has become a non-negotiable aspect of compliance frameworks. As a result, organizations are increasingly investing in robust PEP data services to mitigate the risk of hefty fines, reputational damage, and operational disruptions caused by non-compliance. The integration of advanced analytics, artificial intelligence, and machine learning into PEP data services further enhances the accuracy and efficiency of risk assessments, making these solutions indispensable for compliance teams.

Another key driver propelling the expansion of the PEP Data Services market is the digital transformation sweeping across the banking, financial services, and insurance (BFSI) sector. As financial institutions accelerate their adoption of digital channels and platforms, the volume and complexity of transactions have surged, increasing the risk of exposure to illicit financial flows. To address these challenges, organizations are leveraging PEP data services that offer real-time screening, continuous monitoring, and automated alert systems. The shift towards cloud-based deployment models has further democratized access to these sophisticated services, enabling both large enterprises and small and medium-sized enterprises (SMEs) to implement scalable compliance solutions. Additionally, the growing trend of cross-border transactions and the globalization of financial markets have necessitated more comprehensive and up-to-date PEP databases, fostering demand for innovative data services that can keep pace with the evolving risk landscape.

The proliferation of digital commerce and the expansion of e-government services have also contributed to the burgeoning demand for PEP Data Services. As e-commerce platforms and government agencies handle increasingly sensitive financial and personal data, the risk of fraud, corruption, and money laundering has escalated. Regulatory mandates are now extending beyond traditional financial institutions to include non-bank financial entities, legal service providers, and even online marketplaces. This broadening regulatory net has compelled a diverse array of organizations to integrate PEP data screening into their onboarding and ongoing monitoring processes. The need for seamless interoperability with existing IT infrastructure, coupled with the emphasis on user privacy and data protection, is shaping the evolution of PEP data services toward more secure, user-friendly, and customizable offerings.

On a regional level, North America continues to dominate the PEP Data Services market, accounting for the largest share in 2024, followed closely by Europe and Asia Pacific. The United States, in particular, has witnessed a surge in demand due to stringent regulatory requirements enforced by agencies such as the Financial Crimes Enforcement Network (FinCEN) and the Office of Foreign Assets Control (OFAC). Meanwhile, Europe’s proactive approach to AML compliance, exemplified by the implementation of the EU’s Fifth and Sixth Anti-Money Laundering Directives, has spurred significant investments in advanced PEP data services. Asia Pacific is emerging as a high-growth region, driven by rapid financial sector expansion, increased cross-border trade, and the adoption of international compliance standards. Latin America and the Middle East & Africa are also experiencing steady growth as regulatory frameworks mature and awareness of

Database of blood-brain barrier properties of peptides including structure, method, responses, physicochemical properties and related literature. The database is linked to a manuscript entitled Brainpeps: the blood-brain barrier peptide database, in which the BBB methods and responses are clarified and correlated to each other. Data may be submitted for addition to the database.

The PACS Evolutionary Probe (PEP, Lutz et al. 2011) is a Herschel guaranteed time deep extragalactic survey (KPGT_dlutz_1) targeting six among the most popular "blank fields", ten lensing clusters of galaxies, and two z ~1 clusters at wavelengths of 100, and 160 microns. PEP includes SPIRE observations of the two z ~1 clusters at wavelengths of 250, 350, and 500 microns. SPIRE coverage of all other fields is available from the HerMES survey (Oliver et al. 2010). In addition, deep SPIRE GOODS-N data are provided by the GOODS-Herschel program (Elbaz et al. 2011).PEP used the Starfinder IDL code (Diolaiti et al. 2000a,b) to blindly extract the PACS catalogs, by means of PSF-fitting. PEP adopted the "direct" noise maps and extracted PSFs directly from the observed maps (see documentation). The released catalogs include all sources above a S/N threshold of 3 sigma, derived directly from the measured fluxes and flux uncertainties. Users should keep in mind that the error estimate does not take into account confusion noise. PEP recommends to use any flux below 0.6 mJy in the green band and below 2.0 mJy in the red band with care.

There is no abstract created for this record There is no abstract created for this record

The PACS Evolutionary Probe (PEP, Lutz et al. 2011) is a Herschel guaranteed time deep extragalactic survey (KPGT_dlutz_1) targeting six among the most popular "blank fields", ten lensing clusters of galaxies, and two z ~1 clusters at wavelengths of 100, and 160 microns. PEP includes SPIRE observations of the two z ~1 clusters at wavelengths of 250, 350, and 500 microns. SPIRE coverage of all other fields is available from the HerMES survey (Oliver et al. 2010). In addition, deep SPIRE GOODS-N data are provided by the GOODS-Herschel program (Elbaz et al. 2011).PEP used the Starfinder IDL code (Diolaiti et al. 2000a,b) to blindly extract the PACS catalogs, by means of PSF-fitting. PEP adopted the "direct" noise maps and extracted PSFs directly from the observed maps (see documentation). The released catalogs include all sources above a S/N threshold of 3 sigma, derived directly from the measured fluxes and flux uncertainties. Users should keep in mind that the error estimate does not take into account confusion noise. PEP recommends to use any flux below 0.6 mJy in the green band and below 2.0 mJy in the red band with care.

The PACS Evolutionary Probe (PEP, Lutz et al. 2011) is a Herschel guaranteed time deep extragalactic survey (KPGT_dlutz_1) targeting six among the most popular "blank fields", ten lensing clusters of galaxies, and two z ~1 clusters at wavelengths of 100, and 160 microns. PEP includes SPIRE observations of the two z ~1 clusters at wavelengths of 250, 350, and 500 microns. SPIRE coverage of all other fields is available from the HerMES survey (Oliver et al. 2010). In addition, deep SPIRE GOODS-N data are provided by the GOODS-Herschel program (Elbaz et al. 2011).The PACS blind catalogs extracted using Starfinder have been matched to the available 24 micron source lists by means of a maximum likelihood analysis (Ciliegi et al. 2001; Sutherland & Saunders 1992), taking advantage of the available 24 micron fluxes. See the documentation for details.

PEP = post-exposure prophylaxis, HDI = Human Development Index, FAO = Food and Agriculture Organization of the United Nations, REDIPRA = Directors of National Programs to Control Rabies in the Americas, ML = Maximum Likelihood, Bites = Bite Incidence (the same annotation is used in Fig 1).Data sources and inference methods within framework used for estimating the burden of canine rabies.

The PACS Evolutionary Probe (PEP, Lutz et al. 2011) is a Herschel guaranteed time deep extragalactic survey (KPGT_dlutz_1) targeting six among the most popular "blank fields", ten lensing clusters of galaxies, and two z ~1 clusters at wavelengths of 100, and 160 microns. PEP includes SPIRE observations of the two z ~1 clusters at wavelengths of 250, 350, and 500 microns. SPIRE coverage of all other fields is available from the HerMES survey (Oliver et al. 2010). In addition, deep SPIRE GOODS-N data are provided by the GOODS-Herschel program (Elbaz et al. 2011).The list of 24 micron priors adopted in the LH field belongs to a preliminary, private catalog, soon to be replaced by an official public release (E. Egami, January 29th 2013, private communication). The PEP DR1 data package includes this catalog, providing cross-IDs between the list of priors and the new 24 micron catalog soon to become public. See the documentation for more information.

Peps Industries Private Limited Export Import Data. Follow the Eximpedia platform for HS code, importer-exporter records, and customs shipment details.

Data files required to run the analysis of TMS-evoked potentials:Mana Biabani, Alex Fornito, Tuomas P. Mutanen, James Morrow, Nigel C. Rogasch. Characterizing and minimizing the contribution of sensory inputs to TMS-evoked potentials.Matlab code for processing these data files and reproducing our analyses is in the Github repository (link below).The provided data is the outputs of the pre-processing stage. If you require the raw data, please contact Mana Biabani or Nigel Rogasch.

The underlying data table (n = 344) that was published as S1 File with the original version of the article. (XLSX)

PEP Screening Market Outlook

According to our latest research, the global PEP Screening market size was valued at USD 1.76 billion in 2024, and it is expected to reach USD 5.12 billion by 2033, expanding at a robust CAGR of 12.5% during the forecast period from 2025 to 2033. The market's strong growth trajectory is driven by the increasing demand for advanced compliance solutions, mounting regulatory scrutiny, and the rising need for robust anti-money laundering (AML) frameworks across financial institutions worldwide.

One of the primary growth factors propelling the PEP Screening market is the intensification of global regulatory requirements targeting anti-money laundering and counter-terrorism financing. Financial institutions and other regulated entities face mounting pressure to enhance their due diligence processes, particularly concerning politically exposed persons (PEPs) who present elevated risks of corruption and financial crime. The proliferation of international regulations, such as the EU’s 6th AML Directive, the US Bank Secrecy Act, and FATF recommendations, has necessitated the deployment of sophisticated PEP screening solutions. These frameworks mandate organizations to identify, screen, and monitor PEPs and their close associates, which has significantly accelerated the adoption of both software and service-based screening platforms across banks, insurance companies, and fintech firms globally.

Another significant driver is the rapid digitization of financial services and the increasing adoption of cloud-based compliance technologies. As digital banking, online insurance, and fintech platforms proliferate, the volume and complexity of customer onboarding processes have surged. This digital shift demands automated, scalable, and accurate PEP screening tools to ensure compliance without compromising customer experience. The integration of artificial intelligence, machine learning, and big data analytics in PEP screening solutions has further enhanced their efficiency, enabling real-time detection of high-risk individuals and entities. Consequently, organizations are increasingly investing in advanced PEP screening technologies to mitigate risks, reduce operational costs, and streamline compliance workflows.

The growing focus on fraud detection and risk management also plays a pivotal role in market expansion. With financial crimes becoming increasingly sophisticated, institutions are seeking comprehensive solutions that not only support regulatory compliance but also proactively identify fraudulent activities and suspicious transactions. PEP screening platforms are evolving to offer holistic risk management capabilities, integrating with broader AML, know-your-customer (KYC), and fraud detection systems. This convergence is creating new opportunities for solution providers to deliver end-to-end compliance and risk mitigation services, catering to the evolving needs of a dynamic regulatory landscape.

Regionally, North America continues to dominate the PEP Screening market, accounting for the largest share in 2024, driven by stringent regulatory frameworks, high adoption of digital banking, and the presence of leading financial institutions. However, the Asia Pacific region is emerging as the fastest-growing market, fueled by rapid economic development, increasing financial inclusion, and heightened regulatory enforcement in countries such as China, India, and Singapore. Europe also remains a significant market, underpinned by robust AML directives and cross-border regulatory collaboration. Latin America and the Middle East & Africa are witnessing growing adoption, albeit from a smaller base, as governments and financial institutions intensify their focus on combating financial crime and enhancing regulatory compliance.

Component Analysis

The PEP Screening market by component is broadly segmented into software and services, each playing a critical role in the overall compliance ecosystem. The software segment encompasses a wide array of platforms and applications designed to automate the identification, verification, and monitoring of politically exposed persons. These solutions leverage advanced algorithms, artificial intelligence, and machine learning to scan extensive databases, detect potential matches, and generate risk profiles in real time. The increasing complexity of financial crimes and the need for instantaneous decision-making have made software solutions indispensable for organizations a

Use of HIV post-exposure prophylaxis among men who have sex with men in Shenzhen, China: a serial cross-sectional study

Abstract The dataset was derived by the Geological and Bioregional Assessment Program from Geoscience Australia's groundwater bore database. The processes undertaken to produce this derived dataset are described in the History field in this metadata statement. ## Attribution Geological and Bioregional Assessment Program ## History Pressure data compiled from petroleum well reports and PEP-SA database was converted to equivalent hydraulic head value. For wells that had equivalent Hydraulic head in the Hutton Sandstone, measurements in the well situated nearest to top of Hutton Sandstone were then extracted from the equivalent hydraulic head dataset then converted to a shapefile for spatial analysis in ArcGIS. In this Excel workbook, Pressure data compiled from Qld petroleum well reports for the Geological Bioregional Programme, as well as from PEP-SA database have been compiled in this spreadsheet. Pressure data was assessed for its suitability for conversion to an equivalent hydraulic head. Those passed QC were then converted to equivalent hydraulic head value. This dataset includes a summary of all compiled pressure data from Qld and SA datasources, the formulas and parameters used to convert the pressures to an equivalent hydraulic head. This Excel workbook, contains petroleum well formation test information, including pressure and temperature data that was compiled from Qld petroleum well completion reports for the Geological Bioregional Programme. Well completion reports were downloaded from QDEX. This Excel workbook, contains petroleum well formation test information, including pressure and temperature data that was extracted from PEPS-SA petroleum database for the Geological Bioregional Programme.