French Companies Real Estate

Real estate ownership from data.gouv.fr (Nov. 2021), Geocoded data from Koumoul.com, UBO data from inpi.fr. Enter name of country, person, company, siren number, street, city, etc… Click on the number in the results to see the full record. Click on the person or company name to see all the records for this person/company. You can also do partial searches with the * joker. Example: @Nom_Patronymique *ov @realestates yes | @parcels yes returns the people having family names ending at OV, who are linked to companies who owns premisses or land plots in France. The Geotag search locates the land plots, but not the real estate like flats. A list of persons of interest with questionable wealth has been established by investigative journalists team and can be seen here.


The search 43185 SAINTE-FLORINE 0014, RUE NELSON MANDELA found 6 results

# Company Address REF Geotag
8776693 LOGIVELAY SA 586150153
@Company
@Persons		 43185 SAINTE-FLORINE 0014, RUE NELSON MANDELA Department: 43
Parcel Code: 43185000AC0903
Surface: 8
Location: Zoom
Google Maps: 45.405422, 3.308583
8776696 LOGIVELAY SA 586150153
@Company
@Persons		 43185 SAINTE-FLORINE 0014, RUE NELSON MANDELA Department: 43
Parcel Code: 43185000AC0909
Surface: 12
Location: Zoom
Google Maps: 45.405101, 3.308768
8776700 LOGIVELAY SA 586150153
@Company
@Persons		 43185 SAINTE-FLORINE 0014, RUE NELSON MANDELA Department: 43
Parcel Code: 43185000AC0917
Surface: 53
Location: Zoom
Google Maps: 45.405119, 3.308862
8776701 LOGIVELAY SA 586150153
@Company
@Persons		 43185 SAINTE-FLORINE 0014, RUE NELSON MANDELA Department: 43
Parcel Code: 43185000AC0918
Surface: 480
Location: Zoom
Google Maps: 45.405273, 3.308711
8776705 LOGIVELAY SA 586150153
@Company
@Persons		 43185 SAINTE-FLORINE 0014, RUE NELSON MANDELA Department: 43
Parcel Code: 43185000AC0923
Surface: 487
Location: Zoom
Google Maps: 45.405313, 3.308872
8776711 LOGIVELAY SA 586150153
@Company
@Persons		 43185 SAINTE-FLORINE 0014, RUE NELSON MANDELA Department: 43
Parcel Code: 43185000AC0932
Surface: 3
Location: Zoom
Google Maps: 45.405140, 3.308993

 

Financial support for this project is provided by Transborder Corruption Archives TBCArchives.org and OCCRP

Investigations using this database:

International:

OCCRP and partners:

Russian Asset Tracker

The Luxury French Real Estate of Alleged Latin American Money Launderers and Officials Accused of Corruption

Russia: 

Сен-Жан-Кап-Ферра наш. Как видные россияне заселили один из самых роскошных курортов мира на Лазурном берегу Франции

Ukraine:

ФІРТАШ МАЄ ВИНОРОБНИЙ БІЗНЕС У ФРАНЦІЇ ЗА 7,6 МІЛЬЙОНІВ ЄВРО

Bulgaria:

Топлофикация – Франция: Как шефка на “топлото” в Перник даде 6.5 милиона заем на тъста на Ковачки за вила на Лазурния бряг

Бившият шеф на енергетиката Милко Ковачев с имот в Биариц

Howto: Find the real estate owned by a French company

  1. Do a search by person or UBO or company and locate the persons tagged with Land plots or Premisses.  The search operator @realestates yes | @parcels yes in the Persons search will limit the search to those having a land plot or premisses.
  2. Click on @Geotag to locate the land plots on the map. Detailed cadastral information is available in @Locaux/Premises  or @Parcelles/Land Plots.
  3. Locate the Department (two digits) the Place, the two letters Section and the four digits Parcel N°. Exemple: AA 0011. This information is also available in the Parcel Code in Geotag. The first 5 digits of the Parcel Code are the post code and the last letters/digits are the Section and Parcel N° (ex: 302580000D0143 means post code 30258 ST GILLES CAVALES and last 5 symbols are the Section D and the parcel N° 143).
  4. Go to https://www.cadastre.gouv.fr/scpc/accueil.do, Select English and click on “Search by cadastral reference instead”.
  5. Fill the place, the post code, select the department number from the drop down menu, fill the Section and the Parcel N° with the three last digits only. Click on Search
  6. If there is a result the system will give a link to show the parcel on the map. You can zoom on the map and match it with Google Maps.