lobbyTO

Registration SM28254 · consultant

Manga Hotels

Status: closed29 May 2019 to 15 April 2024Source datasetReport an error on this page
Communications
2
1 offices contacted
Lobbyists
1
Linked agenda items
0
Published links only
Linked applications
1
Published links only

Who

Client
Manga Hotels
Consultant firm
IBI Group Architects
Registrant
Mansoor Kazerouni
Type
consultant
Status
closed
Dates
Approved 29 May 2019; 29 May 2019 to 15 April 2024

Subject matter

  • Planning and Development, Planning Policy / Study
  • Planning and Development Application, Plan of Condominium
  • Planning and Development Application, Site Plan

Source: City of Toronto Lobbyist Registry (open data). Dataset page.

Particulars

203 Jarvis Street

Addresses named: 203 Jarvis St (Ward 13)

Lobbyists

Organisations named

Communications

Communications per month

2019-05 to 2019-10

2 communications, most in 2019-05 (1)

How and with whom

By method · 2 meetings

By office holder

Most-contacted offices

  • Ward 13 Toronto CentreMember of council2
Offices contacted· 1 row
OfficeOffice holder typeCommunicationsMeetingsLast contact
Ward 13 Toronto CentreMember of council227 October 2019
All communications· 2 rows
2 communications recorded
DateOfficeOffice holder (as recorded)Member's officeMethodLobbyist
7 October 2019Ward 13 Toronto CentreKristyn Wong-Tam
Member of council
—Meeting—
29 May 2019Ward 13 Toronto CentreKristyn Wong-Tam
Member of council
—Meeting—

"Member's office" is the member of council whose office was contacted (the member or their staff), resolved from the office holder name and office recorded in the registry.

Linked agenda items

No published links to agenda items.

Linked development applications

These links are inferred by lobbyTO from file numbers and addresses named in the registration (task L2); the registry does not record which application a registration concerns.

Links between records are inferred by a model and are not reviewed by a person. Each link shows its score out of 1; moderate-confidence links (0.7 to 0.9) are wrong more often than high-confidence links. How links are scored