Real Estate Laundering Database
| Sr# | Property / Project Name | Location | AML Network Risk Rating |
|---|---|---|---|
| 1 | NCA Unexplained Wealth Order Properties | United Kingdom | π΄ High Risk |
| 2 | Zamira Hajiyeva-Linked London Properties | United Kingdom | π΄ High Risk |
| 3 | Kuwaiti Public Institution for Social SecurityβLinked Los Angeles Luxury Condominiums | United States | π΄ High Risk |
| 4 | Edward Enterprise International-Linked Commercial Properties | United States | π΄ High Risk |
| 5 | Diezani Alison-Madueke London Properties | United Kingdom | π΄ High Risk |
| 6 | Sani Abacha-Linked Property Holdings | Nigeria | π΄ High Risk |
| 7 | Abarca Family Real-Estate Holdings | United States | π΄ High Risk |
| 8 | Towers Financial Corporation Real-Estate Assets | United States | π΄ High Risk |
| 9 | Persian Gulf Properties LLC | United States | π΄ High Risk |
| 10 | Tri-Continental Exchange Ltd. | Ireland | π΄ High Risk |
| 11 | Viktor Khrapunov Real-Estate Holdings | United States | π΄ High Risk |
| 12 | Rafael Olvera Amezcua Real-Estate Holdings | United States | π΄ High Risk |
| 13 | Sefira LLC | United States | π΄ High Risk |
| 14 | Assa Corporation | United States | π΄ High Risk |
| 15 | Alavi Foundation | United States | π΄ High Risk |
| 16 | 650 Fifth Avenue Building | United States | π΄ High Risk |
| 17 | Tokyu Land | Japan | π΄ High Risk |
| 18 | Mitsui Fudosan | Japan | π΄ High Risk |
| 19 | Ssangbangwool E&C | Korea, South (South Korea) | π΄ High Risk |
| 20 | HDC Hyundai Development | Korea, South (South Korea) | π΄ High Risk |
| 21 | DL E&C | Korea, South (South Korea) | π΄ High Risk |
| 22 | POSCO E&C | Korea, South (South Korea) | π΄ High Risk |
| 23 | Acacia Park Developers | Kenya | π΄ High Risk |
| 24 | Mi Vida Homes | Kenya | π΄ High Risk |
| 25 | Centum Investments Real Estate | Kenya | π΄ High Risk |
| 26 | Kenya Commercial Bank Properties | Kenya | π΄ High Risk |
| 27 | Bumi Serpong Damai | Indonesia | π΄ High Risk |
| 28 | Lippo Group Properties | Indonesia | π΄ High Risk |
| 29 | Sinarmas Land | Indonesia | π΄ High Risk |
| 30 | Agung Podomoro | Indonesia | π΄ High Risk |
| 31 | Mah Sing Group | Malaysia | π΄ High Risk |
| 32 | Sunway Property | Malaysia | π΄ High Risk |
| 33 | IOI Properties | Malaysia | π΄ High Risk |
| 34 | SP Setia | Malaysia | π΄ High Risk |
| 35 | GuocoLand (Malaysia) | Malaysia | π΄ High Risk |
| 36 | Tenda | Brazil | π΄ High Risk |
| 37 | Even Construtora | Brazil | π΄ High Risk |
| 38 | MRV Engenharia | United States | π΄ High Risk |
| 39 | Cyrela Brazil | Brazil | π΄ High Risk |
| 40 | GLP Brazil | Brazil | π΄ High Risk |
| 41 | D.R. Horton | United States | π΄ High Risk |
| 42 | Lennar Corporation | United States | π΄ High Risk |
| 43 | Toll Brothers | United States | π΄ High Risk |
| 44 | Turnberry Associates | United States | π΄ High Risk |
| 45 | Shoma Group | United States | π΄ High Risk |
| 46 | Azizi Developments | United Arab Emirates | π΄ High Risk |
| 47 | Union Properties | United Arab Emirates | π΄ High Risk |
| 48 | Nakheel Properties | United Arab Emirates | π΄ High Risk |
| 49 | Aldar Properties | United Arab Emirates | π΄ High Risk |
| 50 | Ofer Brothers Properties | Israel | π΄ High Risk |
| 51 | Africa Israel Investments Ltd. | Israel | π΄ High Risk |
| 52 | Migdal Real Estate | Israel | π΄ High Risk |
| 53 | Azrieli Group | Israel | π΄ High Risk |
| 54 | Tagar Olsson | Israel | π΄ High Risk |
| 55 | Bonava Baltics | Estonia | π΄ High Risk |
| 56 | Developments PLC | Latvia | π΄ High Risk |
| 57 | Sparkasse Immobilien | Malta | π΄ High Risk |
| 58 | MALTA PROPERTIES | Malta | π΄ High Risk |
| 59 | Aristo Developers | Cyprus | π΄ High Risk |
| 60 | Glavbolgarstroy | Bulgaria | π΄ High Risk |
| 61 | Bulgarian Properties | Bulgaria | π΄ High Risk |
| 62 | S Immo | Austria | π΄ High Risk |
| 63 | Immofinanz | Austria | π΄ High Risk |
| 64 | HB Reavis | Czech Republic (Czechia) | π΄ High Risk |
| 65 | YIT Slovakia | Slovakia | π΄ High Risk |
| 66 | Futureal Group | Hungary | π΄ High Risk |
| 67 | Echo Investment | Poland | π΄ High Risk |
| 68 | Skanska Residential | Poland | π΄ High Risk |
| 69 | Bonava AB | Sweden | π΄ High Risk |
| 70 | Saturnus | Denmark | π΄ High Risk |
| 71 | YIT Oyj | Finland | π΄ High Risk |
| 72 | OBOS BBL | Norway | π΄ High Risk |
| 73 | NREP | Norway | π΄ High Risk |
| 74 | Aedifica | Belgium | π΄ High Risk |
| 75 | Sareb | Spain | π΄ High Risk |
| 76 | Kennedy Wilson | Ireland | π΄ High Risk |
| 77 | Promontoria | Ireland | π΄ High Risk |
| 78 | Sonae Sierra | Portugal | π΄ High Risk |
| 79 | Teoalca | Portugal | π΄ High Risk |
| 80 | PIK Group | Russia | π΄ High Risk |
| 81 | Yango Group | Russia | π΄ High Risk |
| 82 | Lamda Development | Greece | π΄ High Risk |
| 83 | Olympian Homes | Greece | π΄ High Risk |
| 84 | Leptos Estates | Cyprus | π΄ High Risk |
| 85 | Thanasoulis Group | Cyprus | π΄ High Risk |
| 86 | Emlak Konut GYO | Turkey | π΄ High Risk |
| 87 | Green Reef | Turkey | π΄ High Risk |
| 88 | Merlin Properties | Spain | π΄ High Risk |
| 89 | Neinor Homes | Spain | π΄ High Risk |
| 90 | BPI Real Estate | Belgium | π΄ High Risk |
| 91 | Peab AB | Sweden | π΄ High Risk |
| 92 | Vonovia SE | Germany | π΄ High Risk |
| 93 | Ilimmo | Belgium | π΄ High Risk |
| 94 | Aroundtown SA | Germany | π΄ High Risk |
| 95 | IvanhoΓ© Cambridge | Canada | π΄ High Risk |
| 96 | PSP Investments | Canada | π΄ High Risk |
| 97 | Country Garden Holdings | China | π΄ High Risk |
| 98 | China Evergrande Group | China | π΄ High Risk |
| 99 | Mirvac Group | Australia | π΄ High Risk |
| 100 | Lendlease Barangaroo | Australia | π΄ High Risk |
| 101 | CapitaLand | Singapore | π΄ High Risk |
| 102 | Mapletree Investments Pte Ltd | Singapore | π΄ High Risk |
| 103 | DLF Limited | India | π΄ High Risk |
| 104 | Sobha Limited | India | π΄ High Risk |
| 105 | Prestige Group | India | π΄ High Risk |
| 106 | Godrej Properties | India | π΄ High Risk |
| 107 | Kerzner International | South Africa | π΄ High Risk |
| 108 | Equity Residential | United States | π΄ High Risk |
| 109 | The Related Group | United States | π΄ High Risk |
| 110 | Extell Development | United States | π΄ High Risk |
| 111 | Segal Group Luxury Developments | United States | π΄ High Risk |
| 112 | Hines Interests LP | United States | π΄ High Risk |
| 113 | Blackstone Real Estate Partners Portfolio | United States | π΄ High Risk |
| 114 | Trump Organization Properties | United States | π΄ High Risk |
| 115 | Damac Properties | United Arab Emirates | π΄ High Risk |
| 116 | Emaar Properties | United Arab Emirates | π΄ High Risk |
| 117 | Related Properties Mayfair Developments | United Kingdom | π΄ High Risk |
| 118 | Lodha Group | India | π΄ High Risk |
| 119 | CBRE Group | United States | π΄ High Risk |
| 120 | JLL (Jones Lang LaSalle) | United States | π΄ High Risk |
| 121 | Tishman Speyer Portfolio | United States | π΄ High Risk |
| 122 | Cushman & Wakefield Inc. | United States | π΄ High Risk |
| 123 | Prologis | United States | π΄ High Risk |
| 124 | Brookfield Properties | Canada | π΄ High Risk |
| 125 | Simon Property Group | United States | π΄ High Risk |
| 126 | Turin Real Estate Investments | Italy | π΄ High Risk |
| 127 | Sydney Harbour Residences | Australia | π΄ High Risk |
| 128 | Swiss Alps Luxury Chalets | Switzerland | π΄ High Risk |
| 129 | Mayfair Residential Developments | United Kingdom | π΄ High Risk |
| 130 | Monte Carlo Bay Luxury Villas | Monaco | π΄ High Risk |
| 131 | Ocean Reef Club Residences | United States | π΄ High Risk |
| 132 | Baku White City Development | Azerbaijan | π΄ High Risk |
| 133 | The Shard | United Kingdom | π΄ High Risk |
| 134 | Taylor Five Apartments LLC | United States | π΄ High Risk |
| 135 | Nama Capital UK Limited | United Kingdom | π΄ High Risk |
| 136 | Pacific Eurotex Corp. | United States | π΄ High Risk |
| 137 | QT Fashion Inc. | United States | π΄ High Risk |
| 138 | Former Motorola Manufacturing Facility | United States | π΄ High Risk |
| 139 | One Cleveland Center | United States | π΄ High Risk |
| 140 | Tysons Corner Marriott | United States | π΄ High Risk |
| 141 | Locust Grove | United States | π΄ High Risk |
| 142 | Jumeirah Living Marina Gate | United Arab Emirates | π΄ High Risk |
| 143 | JBR Tower 2 | United Arab Emirates | π΄ High Risk |
| 144 | Vida Residences | United Arab Emirates | π΄ High Risk |
| 145 | Paloma Tower in Dubai Marina | United Arab Emirates | π΄ High Risk |
| 146 | Southampton Village Estate | United States | π΄ High Risk |
| 147 | Neteru Property Services LTD | United Kingdom | π΄ High Risk |
| 148 | Beachside Villas (Saint-BarthΓ©lemy) | France | π΄ High Risk |
| 149 | Chateau Bigaud | France | π΄ High Risk |
| 150 | Miami Luxury Real Estate | United States | π΄ High Risk |
| 151 | TK Property Group Ltd (UK) | United Kingdom | π΄ High Risk |
| 152 | Teamtrend Limited (UK) | United Arab Emirates | π΄ High Risk |
| 153 | Grosvenor Square Apartments | United Kingdom | π΄ High Risk |
| 154 | ChΓ’teau de la CroΓ« | France | π΄ High Risk |
| 155 | Crown Estate | United Kingdom | π΄ High Risk |
| 156 | Sultanpur Road Project | India | π΄ High Risk |
| 157 | The Creek Marina | Pakistan | π΄ High Risk |
| 158 | The Viceroy LβErmitage Beverly Hills hotel | United States | π΄ High Risk |
| 159 | Nordis Apartments & Houses | Romania | π΄ High Risk |
| 160 | Nogarole Rocca Real-Estate Complex | Italy | π΄ High Risk |
| 161 | Villa Maria Irina | France | π΄ High Risk |
| 162 | Chelsea Barracks development | United Kingdom | π΄ High Risk |
| 163 | Villa Souzanna | France | π΄ High Risk |
| 164 | Knightsbridge Penthouse | United Kingdom | π΄ High Risk |
| 165 | Whitehall Court | United Kingdom | π΄ High Risk |
| 166 | Bahria Town | Pakistan | π΄ High Risk |
| 167 | Shine City | India | π΄ High Risk |
| 168 | Patra Chawl Redevelopment | India | π΄ High Risk |
| 169 | The Grand at Dubai Creek Harbour | United Arab Emirates | π΄ High Risk |
| 170 | Grande Downtown | United Arab Emirates | π΄ High Risk |
| 171 | Saxonwold Compound | South Africa | π΄ High Risk |
| 172 | Viceroy LβErmitage Beverly Hills | United States | π΄ High Risk |
| 173 | Time Warner Center | United States | π΄ High Risk |
| 174 | Walker Tower Penthouse | United States | π΄ High Risk |
| 175 | HILLCREST PROPERTY | United States | π΄ High Risk |
| 176 | Parkwood Estate | United Kingdom | π΄ High Risk |
| 177 | Park Lane Hotel | United States | π΄ High Risk |
| 178 | Witanhurst | United Kingdom | π΄ High Risk |
| 179 | 432 Park Avenue | United States | π΄ High Risk |
| 180 | One57 | United States | π΄ High Risk |
| 181 | Zodiac | India | π΄ High Risk |
| 182 | Luxury Vancouver Real Estate | Canada | π΄ High Risk |
| 183 | One Hyde Park | United Kingdom | π΄ High Risk |
| 184 | 20 Pine Street | United States | π΄ High Risk |
| 185 | Alexander Condominium | United States | π΄ High Risk |
| 186 | Nexa Evergreen Real Estate Scheme | India | π΄ High Risk |
| 187 | Lotus 300 | India | π΄ High Risk |
| 188 | NYC Apartments | United States | π΄ High Risk |
| 189 | Hotelito Desconocido (hotel & property) | Mexico | π΄ High Risk |
| 190 | Holyland Park Building Complex | Israel | π΄ High Risk |
| 191 | Greatex Limited | United Kingdom | π΄ High Risk |
| 192 | Parkview Estates Management Limited | United Kingdom | π΄ High Risk |
| 193 | Dynamic Estates Limited | United Kingdom | π΄ High Risk |
| 194 | Farmont Baker Street Limited | United Kingdom | π΄ High Risk |
| 195 | Ihor Kolomoisky Real Estate | Ukraine | π΄ High Risk |
| 196 | 6th of October City Residential Developments | Egypt | π΄ High Risk |
| 197 | Palm Jumeirah Villas | United Arab Emirates | π΄ High Risk |
| 198 | New Cairo Real Estate Developments | Egypt | π΄ High Risk |
| 199 | Sheikh Zayed City Luxury Villas | Egypt | π΄ High Risk |
| 200 | Cairo New Administrative Capital Residential Projects | Egypt | π΄ High Risk |
| 201 | The Pearl Qatar | Qatar | π΄ High Risk |
| 202 | Eastern Province Commercial Real Estate | Saudi Arabia | π΄ High Risk |
| 203 | Riyadh Real Estate Mega Projects | Saudi Arabia | π΄ High Risk |
| 204 | King Abdullah Economic City Residential Projects | Saudi Arabia | π΄ High Risk |
| 205 | Al Maryah Island Properties | United Arab Emirates | π΄ High Risk |
| 206 | Jebel Ali Free Zone Real Estate | United Arab Emirates | π΄ High Risk |
| 207 | Yas Island Properties | United Arab Emirates | π΄ High Risk |
| 208 | Dubai Marina Residential Towers | United Arab Emirates | π΄ High Risk |
| 209 | Downtown Dubai High-Rise Apartments | United Arab Emirates | π΄ High Risk |
| 210 | Emirates Hills Luxury Villas | United Arab Emirates | π΄ High Risk |
| 211 | Juffair Waterfront Properties | Bahrain | π΄ High Risk |
| 212 | Amwaj Islands Real Estate Developments | Bahrain | π΄ High Risk |
| 213 | Seef District Luxury Apartments | Bahrain | π΄ High Risk |
| 214 | Alexandria Waterfront Redevelopment | Egypt | π΄ High Risk |
| 215 | Abu Dhabi Luxury Hotel Portfolio | United Arab Emirates | π΄ High Risk |
| 216 | New Administrative Capital | Egypt | π΄ High Risk |
| 217 | Manama Luxury Villas | Bahrain | π΄ High Risk |
| 218 | Dubai Waterfront Development | United Arab Emirates | π΄ High Risk |
Real estate laundering refers to the use of property transactions to conceal the origin of illicit funds and integrate dirty money into the legitimate financial system. Criminals exploit the high value, mobility, and opacity of real estate investments to βcleanβ illegally obtained money, making it appear legitimate. Luxury real estate markets in global cities such as London, Dubai, New York City, and Vancouver are particularly vulnerable to these abuses due to their international appeal, significant liquidity, and frequent use of anonymous buyers and complex ownership structures.
The widespread infiltration of illicit funds into real estate distorts housing markets, inflates property prices, and exacerbates urban inequality by pricing out legitimate buyers. Moreover, criminal impunity is sustained by the difficulty regulators and law enforcement face in tracing these deceptive transactions. As the scale and sophistication of real estate laundering grow, so does its destabilizing impact on economies, governance, and social equity worldwide.
Why This Database Matters
The Real Estate Laundering Database serves as a critical tool for tracking suspicious and high-risk property transactions and actors across jurisdictions. It empowers AML professionals, financial institutions, regulatory bodies, investigative journalists, and NGOs by centralizing verified data on opaque real estate deals, ownership structures, and related entities.
Transparency in real estate ownership and transactions is essential to deterring illicit property investments and disrupting criminal networks that fuel money laundering, corruption, and other financial crimes. By providing in-depth, accessible information tied to beneficial ownership, offshore shell companies, and politically exposed persons (PEPs), the database supports due diligence and risk assessment that enhance AML compliance efforts.
Its comprehensive records facilitate cross-border investigations and public accountability, fostering greater integrity in real estate markets and aiding authorities in safeguarding financial systems against criminal exploitation.
Data Fields and What We Track
Each real estate transaction or property entity listed in the database contains detailed information designed to assist in identifying laundering risks:
- Property Address and Location: Precise geocoded location including city, country, and district, emphasizing luxury or high-risk areas globally.
- Transaction Value and Date: Purchase price, sale price, and date of transaction to detect irregular valuations and temporal patterns.
- Ownership History: Complete chain of title, including transfers and previous owners, revealing complex multi-layered ownership often used to obscure control.
- Beneficial Owner(s): Ultimate individuals or entities controlling the property, discovered through investigative research, enhanced due diligence, and cross-referencing with PEP and shell companies databases.
- Source of Funds: Information on the declared or suspected source of funds used for acquisition where available, highlighting discrepancies or suspicious origins.
- Associated Entities: Links to offshore companies, shell firms, trust structures, or PEPs connected to the property purchase or ownership.
- Criminal Investigation Links and Media Reports: Documented involvement or mention in prosecutions, sanctions designations, whistleblower reports, or media exposΓ©s related to financial crime and corruption.
This robust dataset allows users to spot typical laundering red flags such as sudden high-value acquisitions by beginners, purchases through anonymous companies, or properties held by entities in secrecy jurisdictions.
Common Laundering Schemes in Real Estate
Real estate laundering employs an array of deceptive techniques designed to mask illicit origins and integrate dirty money into the market:
- Cash Purchases via Anonymous Companies: Using shell companies or trusts to buy properties outright in cash, circumventing standard financial transparency and due diligence.
- Over- and Under-Valuing Assets: Inflating or deflating property prices in sales to disguise illicit fund movement, enable tax evasion, or justify unusual wealth.
- Use of Intermediaries: Engaging lawyers, real estate agents, notaries, or accountants to facilitate transactions while shielding the real buyerβs identity.
- Renovation or Flipping as Layering: Utilizing costly renovations or rapid resales to layer illicit funds, integrating them gradually into the legitimate economy through apparent business activity.
Notable investigations illustrate these tactics:
- The Panama Papers uncovered how anonymous companies were used extensively by elites and criminals worldwide to buy luxury properties in key cities.
- The FinCEN Files exposed billions in suspicious real estate transactions linked to money laundering, highlighting institutional failures in monitoring such flows.
- Dubai Uncovered revealed schemes involving foreign buyers exploiting legal loopholes and opaque ownership in Dubaiβs booming luxury real estate market.
Geographic Hotspots and Loopholes
Certain cities and jurisdictions have emerged as hotspots for real estate laundering due to regulatory gaps, weak enforcement, and attractive luxury markets:
- London, UK: Known for costly properties bought by anonymous offshore companies, London faces scrutiny for limited ownership transparency and insufficient AML controls in real estate sectors.
- Dubai, UAE: Dubaiβs rapid real estate growth and lenient disclosure laws make it a magnet for anonymous buyers using shell companies to park illicit wealth.
- Vancouver, Canada: Struggles with non-resident investors purchasing expensive homes through corporate entities, contributing to a housing affordability crisis.
- New York City, USA: Complex ownership structures offshore-linked complicate tracing of beneficial owners in luxury properties.
- Cayman Islands, British Virgin Islands, and Other Secrecy Jurisdictions: These locations often serve as incorporation hubs for vehicles owning real estate abroad, further obscuring ownership.
Weaknesses include exemptions on buyer identification for high-value properties, lack of beneficial ownership registries, and poor cross-agency information sharing which criminals exploit to launder money via real estate.
Role of Gatekeepers and Financial Enablers
Real estate laundering is often facilitatedβknowingly or unknowinglyβby professionals acting as gatekeepers:
- Real Estate Agents and Brokers: May enable anonymity and obscure ownership, sometimes neglecting AML obligations or succumbing to inducements.
- Banks and Mortgage Lenders: Certain institutions fail to enforce rigorous source-of-funds checks or question suspicious client profiles.
- Lawyers and Notaries: Serve as intermediaries in complex transactions, sometimes deliberately structuring deals to maximize confidentiality or conceal beneficiaries.
- Accountants and Developers: Can aid in falsifying valuations or facilitating corporate ownership vehicles to obscure beneficial ownership.
High-profile enforcement cases reveal complicity or compliance failures by these actors, underscoring the need for mandatory due diligence, awareness training, and accountability to disrupt laundering channels effectively.
How to Access and Use the Database
The Real Estate Laundering Database is accessible through an interactive, user-friendly interface tailored for diverse users:
- Search by Property or Owner: Enter addresses, owner names, company names, or transaction IDs for direct lookups.
- Filter by Geography and Transaction Attributes: Narrow searches by country, city, transaction dates, purchase value, or ownership type.
- Explore Ownership Networks: Visualize corporate and individual relationships to understand layered structures and identify red flags.
- Risk Scoring and Flags: Profiles display AML risk indicators such as PEP links, association with sanctions, and suspicious patterns.
- Submit Tips and Corrections: Users can securely provide additional verified data or flag questionable listings to enhance database accuracy.
Example Scenarios:
- A journalist researching a disputed luxury apartment in London can trace offshore entities linked to the purchase and correlate with known PEP profiles.
- A compliance officer screening a prospective client can verify whether the entity owns high-risk properties through shell companies in secrecy jurisdictions.
Comprehensive tutorials and customer support assist users in leveraging the database for effective AML compliance, investigative journalism, and regulatory oversight.
Legal and Ethical Standards
The database adheres to strict legal and ethical guidelines to maintain fairness and accuracy. Inclusion in the database indicates suspicion or documented risk factorsβnot proof of illegal activity or wrongdoing. Derived from reputable public records, investigative journalism, and partner reports, all data are vetted for reliability.
Privacy and data protection laws are rigorously respected to safeguard personal information. Editorial independence ensures that profiles avoid defamatory assertions and uphold principles of due process.
Users are encouraged to exercise responsible use of information and seek appropriate professional or legal counsel when making decisions based on database content. Guidelines for submitting corrections and updates promote ongoing data integrity.
A detailed Disclaimers & Ethics Statement is available to reinforce transparency and ethical data management commitments.
You can play a vital role in enhancing global transparency and combatting real estate laundering. We invite compliance professionals, journalists, regulators, NGOs, and concerned citizens to contribute verified case files, report suspicious property transactions, and join collaborative networks to expose illicit financial flows.
Your engagement helps close gaps exploited by criminals and fosters trustworthy real estate markets. Use the Real Estate Laundering Database to drive accountability, promote AML compliance, and protect financial systems from corruption and abuse.
Explore the database, submit your insights, and be part of the frontline defense against dirty money infiltrating property markets worldwide.
