lobbyTO

Registration SM24888 · in-house

Waverley Cottage Holdings Inc.

Status: closed25 July 2017 to 31 December 2019Source datasetReport an error on this page
Communications
1
1 offices contacted
Lobbyists
1
Linked agenda items
0
Published links only
Linked applications
2
Published links only

Who

Client
Waverley Cottage Holdings Inc.
Registrant
Leith Moore
Type
in-house
Status
closed
Dates
Approved 10 August 2017; 25 July 2017 to 31 December 2019

Subject matter

  • Planning and Development, Combined Application

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

Particulars

1602/1604 Queen Street East - minor variances, severances, site plan approvals

Addresses named: 1604 Queen St E (Ward 14)

Automated summary of the registration text

Registered, communicating about minor variances, severances, site plan approvals

Generated from the registration text only. Read the particulars for the registrant's own words.

Lobbyists

Organisations named

Communications

Communications per month

2018-10 to 2018-10

1 communication

How and with whom

By method · 0 meetings

By office holder

Most-contacted offices

  • Ward 32 Beaches-East YorkMember of council1
Offices contacted· 1 row
OfficeOffice holder typeCommunicationsMeetingsLast contact
Ward 32 Beaches-East YorkMember of council1017 October 2018
All communications· 1 row
1 communications recorded
DateOfficeOffice holder (as recorded)Member's officeMethodLobbyist
17 October 2018Ward 32 Beaches-East YorkMary-Margaret McMahon
Member of council
—Email
E-mail
Leith Moore

"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