lobbyTO

Registration SM27336 · consultant

Kim Hill

Communications
1
1 offices contacted
Lobbyists
1
Linked agenda items
0
Published links only
Linked applications
1
Published links only

Who

Client
Kim Hill
Consultant firm
Brook Pooni Associates
Registrant
Sarah Kanakos
Type
consultant
Status
closed by lro
Dates
Approved 14 January 2019; 8 January 2019 to 25 March 2019
Topic (lobbyTO)
Minor variances and consents (Committee of Adjustment) (assigned by a decision model from the registration text)

Subject matter

  • Planning and Development Application, Minor Variance

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

Particulars

Minor Variance requested for location of loading docks for 330 Humberline Drive, Etobicoke, ON, M9W 5X3.

Addresses named: 330 Humberline Dr (Ward 1)

Automated summary of the registration text

Registered, communicating about Minor Variance for location of loading docks

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

Lobbyists

Organisations named

Communications

Communications per month

2019-01 to 2019-01

1 communication

How and with whom

By method · 1 meeting

By office holder

Most-contacted offices

  • Ward 1 Etobicoke NorthMember of council1
Offices contacted· 1 row
OfficeOffice holder typeCommunicationsMeetingsLast contact
Ward 1 Etobicoke NorthMember of council119 January 2019
All communications· 1 row
1 communications recorded
DateOfficeOffice holder (as recorded)Member's officeMethodLobbyist
9 January 2019Ward 1 Etobicoke NorthMichael Ford
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