This was one single topic among many from the May 2017 Mixed Topic survey. To view the survey questions, click on the following link:

Open from May 09 - 16, 2017.

At the time the survey was launched survey invitations were sent to 6760 Insight Community Members. 2238 members completed the survey which represents a completion rate of 33%. A total of 2257 respondents completed the survey: 2238 Insight Community Members and 19 using the anonymous link(s) which will have no demographic info.

Column definitions can be found as an attachment to this dataset (under the About option, in the Attachment section).

This was one single topic among many, from the February 2021 Mixed Topic survey. To view the survey questions, click the following link:

Open from February 9-16, 2021.

At the time the survey was launched survey invitations were sent to 12,674 Insight Community Members. 3016 members completed the survey which represents a completion rate of 16.55%. A total of 2101 respondents completed the survey: 2097 Insight Community Members, 2 from the call to action button on our webpage, and 2 using the anonymous link on Edmonton.ca/Surveys which will have no demographic info.

Pet license (cats, dogs, pigeons) transaction history by neighbourhood; details initial license issuance, periodic renewals, and the current (as of the dataset refresh date) status of the license (still an "issued" status, has expired, etc.).

Explanation of pet license statuses:

- Issued: Up-to-date license
- Delinquent: More than one month overdue
- Renewed: License is in the last month before it expires, and the renewal notice has been sent
- NSF: A cheque was received as payment, but was returned as NSF (not sufficient funds) by the bank
- Expired: Less than one month overdue
- Accepted: Pet licence account has been created but payment has not yet been applied to the account (used for brand new accounts)

NB: For FOIP reasons, pets are excluded from this dataset if there are fewer than five of the relevant animal type in the pet's neighbourhood. For example, if there are only four dogs in a particular neighbourhood, none of those dogs will be featured in this dataset.