New Data Acquistion: 1971-2011 Census data tracted to Montreal neighbourhood NAMES

Are you comparing Montreal neighbourhoods over time and wish to look at census data by “neighbourhood names” (e.g. Plateau Mont-Royal) instead of compiling all the corresponding census tracts that make up a particular neighbourhood?

Look no further. McGill Library purchased census data from 1971 through 2011 (in 2011 Census boundaries) that has been custom-tracted to correspond to the actual names of Montreal neighbourhoods.

If you require any assistance working with census data, please visit Numeric Data Services to discover more data or to book a consultation.

Please note that this custom purchase from Statistics Canada falls under the terms of the Statistics Canada Open License Agreement and is considered open data and is freely shareable.


Statistics Canada releases long form data for the first time since 2006!

Today Statistics Canada released the first datasets from the resurrected census long form. Profiles released today include: immigration and ethnocultural diversity; housing; Aboriginal peoples. This marks the first data released from a mandatory long form (which was eliminated for the 2011 Census and replaced by the voluntary National Household Survey) in 10 years. Data from the aggregate Profile Files are available for download from the Statistics Canada website down to the aggregated dissemination area level, here. Look for easy dissemination to also be added soon to McGill Library’s subscription to the Canadian Census Analyzer.

Quick and handy demographics for the census metropolitan area of Montreal for the 2016 Census Profile are available here.

Some key national demographic trends include:

  • 35,151,728: Canadian population on census day 2016.
  • 5: Percentage increase in the population between 2011 and 2016.
  • 16.9: Proportion of the national population over age 65, a historic high.
  • 41: Average age of the Canadian population.
  • 7,974,370: Canadians whose mother tongue is neither English nor French.
  • 34.7: Percentage of people age 20 to 34 living with their parents, a historic high.
  • $70,336: Median household income in 2015, the most recent year available.
  • 10.8: Percentage increase in median household income between 2005 and 2015.
  • 4.8 million: Canadians, including children, living below the poverty line in 2015.
  • 1.2 million: Number of children living in low-income households in 2015.
  • 14.5: Percentage of Canadian seniors over age 65 living in low income in 2015.
  • 97.8: Response rate from the long-form census, the highest Statistics Canada has ever recorded.

If you require any assistance accessing Census data, please visit McGill Library’s Numeric Data Research Guide for access to more datasets or to book a consultation.

Visit the NEW McGill Library Data Lab!


Data Lab Workstations: Open when the Humanities and Social Sciences Library is open.

In-person Consultation: Monday-Thursday 10am-12pm, or by appointment.

Looking for a physical space on the McGill campus that can help you find and use data for your research? Need help finding data on a particular topic? Look no further than the McGill Library Data Lab that is located on the 2nd floor of the Humanities and Social Sciences Library (Room, M2-37A).

Consult with a data librarian to help you:

  • Discover and cite relevant datasets
  • Load and manipulate data in statistical software packages
  • Understand metadata documentation

Open when the Humanities and Social Sciences Library is open, this research space offers 14 workstations with the latest versions of SPSS, SAS, Stata, NVivo, R, ArcGIS and more! Available on a first-come-first serve basis.

We have dedicated consultation services Monday through Thursday 10am-12pm to further support your data needs.

While we do not provide statistical consulting services, we are here to help you discover, access and use data to get it into the right shape and format for you to run a smooth analysis.

To make an appointment with a data librarian outside our consultation hours, please email to schedule a meeting.

Happy Data-ing!