lobbyTO

Registration SM33146 · consultant

Percy Ellis

Status: closed by lro12 April 2022 to 11 April 2023Source 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
Percy Ellis
Consultant firm
Mihevc Consulting and Mediation
Registrant
Joe Mihevc
Type
consultant
Status
closed by lro
Dates
Approved 12 April 2022; 12 April 2022 to 11 April 2023

Subject matter

  • Planning and Development
  • Planning and Development Application, Zoning By-law

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

Particulars

Planning issues related to a development application at 1400 Gerrard St East

Addresses named: 1400 Gerrard St E (Ward 14)

Automated summary of the registration text

Registered, communicating about planning issues related to a development application

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

Lobbyists

Organisations named

Communications

Communications per month

2022-04 to 2022-04

1 communication

How and with whom

By method · 0 meetings

By office holder

Most-contacted offices

  • Ward 14 Toronto-DanforthMember of council1
Offices contacted· 1 row
OfficeOffice holder typeCommunicationsMeetingsLast contact
Ward 14 Toronto-DanforthMember of council1012 April 2022
All communications· 1 row
1 communications recorded
DateOfficeOffice holder (as recorded)Member's officeMethodLobbyist
12 April 2022Ward 14 Toronto-DanforthPaula Fletcher
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