Monday, April 20, 2020

Impact of COVID-19 on Home Life


I have a researcher who is looking to write a gendered analysis of work and home life during the covid19 pandemic and how people’s home and work lives are affected by the shift to work at home, no school, no daycare, etc. She has seen Canadian Perspectives Survey Series 1: COVID-19 and working from home, 2020 ( and is wondering if there is any other related data to the topic of how lives are being affected by the shift to work at home. Most of the data I am finding is related to testing, cases, and deaths, and economic and labour force impacts. Does anyone know of any other sources for data on impacts of home life? 


I would be interested to know what is out there from others.  I wish there were more current data on gender and home life during the COVID-19 pandemic.

I noted this libguide: COVID-19 and child welfare > tab “Journals and academic research”.

The gendered COVID-19 data that comes to mind is care workers in long term care (LTC) homes, where there were plenty of pre-existing issues (like pay and working conditions). 

To take the example of Ontario,


March 31 update, April 2nd update, April 7th update (Ontario).

“Hospital and Long-Term Care Health Care Workers & Long-Term Care Residents Infected with COVID-19”

  • Three dire reports on COVID-19 cases among LTC seniors and workers. 

Ontario conditions and protections:

April 9th critique

April 15th Action plan of the Ontario government and follow-up critique.


CanCOVID is an expert network of Canadian COVID-19 researchers, clinical collaborators, and healthcare stakeholders from across the country.  The network is designed to support collaboration, coordination and communication in Canada. Researchers can engaged on the twitter group and there is a dedicated Slack channel for the community - perhaps other researchers in this space would know of data that exist to support the researcher's topic area. 

Twitter: (@CanCovid) 

Thursday, April 16, 2020

Designated Market Area Regions


I have a Business faculty member searching for DMA (Designated Market Area) regions in Canada. This seems to be more of a U.S. designation, but there are some sites (of arguably dubious appearance) offering something related, such as the following:

Does anyone know if there as good, authoritative data available?


According to the Dictionary of Marketing Communications (Sage Publications, 2004) the term Designated Market Area was created and owned by Nielsen Media Research and is (was?) used to report television audience size. I believe it only applies to US geographies. Esri has Nielsen data in ArcGIS. 
See also:

Wednesday, April 15, 2020

Wait Time Data

I have a researcher looking for data on wait times in clinics and hospital emergency rooms (i.e. how long does a patient have to wait to get treated for non-critical conditions). I have found some data from CIHI (see links below) and the Ontario Data Portal (most of which is available through CIHI). Statistics Canada has the Health Services Access Survey which has data current to 2017. Most of this data is related to emergency rooms or for priority services like hip replacements or other surgeries. I am having trouble is finding data related to wait times in clinics and non-critical conditions. Does anyone have any other suggestions than what I have already found? Or is this what is publicly available? This is a summer project so requesting data through CIHI is probably not feasible.

CIHI data


You will find some data for Quebec hospitals here


Canadian Community Health Survey -2016, 2014 (and probably earlier) asks respondents regarding wait times for access/referral to medical specialists, tests and surgeries for various health conditions - might this be useful?


Does this resource give you anything more than what you already have? (high-level link)

It let’s you zero in on regions, hospitals or care centres across Canada for:
I selected the Kingston Health Sciences Centre from the high level. However, these indicators don’t differentiate for non-critical conditions.

Tuesday, April 14, 2020

New Release: APS 2017

We are pleased to inform you that the following product is now available.

Aboriginal Peoples Survey (APS) 2017

The 2017 APS is a national survey of First Nations people living off reserve, M├ętis and Inuit aged 15 years and over. The 2017 APS represents the fifth cycle of the survey and focuses on transferable skills, practical training, use of information technology, Aboriginal language attainment, and participation in the Canadian economy.

The 2017 APS collected unique and detailed data on employment, education, and health which are not available from any other source. For example, although the 2016 Census of Population collected data on certain aspects of labour market participation, the 2017 APS addresses additional topics such as job satisfaction, multiple employment, past job attachment, and willingness to move to improve career opportunities.

The APS provides key statistics to inform policy and programming activities aimed at improving the well-being of Aboriginal Peoples. It is a valuable source of information for a variety of stakeholders, including Aboriginal organizations, communities, service providers, researchers, governments, and the general public.

The survey is carried out by Statistics Canada with funding provided by three federal departments: Crown-Indigenous Relations and Northern Affairs Canada & Indigenous Services Canada (formerly Indigenous and Northern Affairs Canada), and Employment and Social Development Canada.


Thursday, April 9, 2020

New Release: LFS March 2020

We are pleased to inform you that the following product is now available.

Labour Force Survey (LFS) - March 2020

This public use microdata file contains non-aggregated data for a wide variety of variables collected from the Labour Force Survey (LFS). The LFS collects monthly information on the labour market activities of Canada's working age population. This product is for users who prefer to do their own analysis by focusing on specific subgroups in the population or by cross-classifying variables that are not in our catalogued products. The Labour Force Survey estimates are based on a sample, and are therefore subject to sampling variability. Estimates for smaller geographic areas, industries, occupations or cross tabulations will have more variability. For an explanation of sampling variability of estimates, and how to use standard errors to assess this variability, consult the Data Quality section in the Guide to the Labour Force Survey.

EFT: /MAD_PUMF_FMGD_DAM/Root/3701_LFS_EPA/1976-2020/data/micro2020/

Nesstar Webview: Labour Force Survey (LFS), March 2020