lobbyTO

Registration SM24180 · consultant

Menkes Developments Ltd

Status: closed14 March 2017 to 15 September 2020Source datasetReport an error on this page
Communications
4
1 offices contacted
Lobbyists
1
Linked agenda items
0
Published links only
Linked applications
1
Published links only

Who

Client
Menkes Developments Ltd
Consultant firm
Sherman Brown Dryer Karol
Registrant
Adam Brown
Type
consultant
Status
closed
Dates
Approved 14 March 2017; 14 March 2017 to 15 September 2020

Subject matter

  • Planning and Development Application, Zoning By-law

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

Particulars

219 Dundas Street East

Addresses named: 219 Dundas St E (Ward 13)

Lobbyists

Organisations named

Communications

Communications per month

2018-01 to 2018-03

4 communications, most in 2018-01 (2)

How and with whom

By method · 1 meeting

By office holder

Most-contacted offices

  • Ward 27 Toronto Centre-RosedaleMember of council4
Offices contacted· 1 row
OfficeOffice holder typeCommunicationsMeetingsLast contact
Ward 27 Toronto Centre-RosedaleMember of council4120 March 2018
All communications· 4 rows
4 communications recorded
DateOfficeOffice holder (as recorded)Member's officeMethodLobbyist
20 March 2018Ward 27 Toronto Centre-RosedaleKristyn Wong-Tam
Member of council
—Email
E-mail
—
23 February 2018Ward 27 Toronto Centre-RosedaleKristyn Wong-Tam
Member of council
—Call
Telephone
—
29 January 2018Ward 27 Toronto Centre-RosedaleKristyn Wong-Tam
Member of council
—Meeting—
23 January 2018Ward 27 Toronto Centre-RosedaleKristyn Wong-Tam
Member of council
—Email
E-mail
—

"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