Question:
I have a researcher looking for data surrounding workplace pension plans pre-WW2 and during WW2. He’s also interested in the gender share of workers in different industries and the gender share of new workers by industry, particularly during the Great Depression and WW2.
Does anyone have any suggestions?
Answer:
... have you had a look at the Historical Statistics of Canada (2nd ed.)?
That link takes you to Section D on the Labour Force that includes a set of tables which might address part of your question ("gender share of workers in different industries"). They can be downloaded in CSV format.
Table D8-85
Work force, by industrial category and sex, census years, 1911 to 1971 (gainfully occupied 1911 to 1941, labour force 1951 to 1971)
Your researcher will want to read the accompanying notes on the site.
Friday, May 17, 2019
Tuesday, May 14, 2019
PCCF7B / FCCP7B
The latest version of the PCCF file (PCCF7B) is now available on the EFT. It can be found at the following location:
/MAD_PCCF_FCCP_DAM/ROOT/2019/PCCF7B.zip
/MAD_PCCF_FCCP_DAM/ROOT/2019/PCCF7B.zip
Monday, May 13, 2019
New Files on Statistics Canada Nesstar - CCHS 2015
We are pleased to inform you that the following (metadata) are now available on the Statistics Canada Nesstar WebView site.
- Canadian Community Health Survey (CCHS) 2015 Nutrition
- Canadian Community Health Survey (CCHS) 2015-2016 Annual
GSS Victimization - Territories and Geography
Question:
I have a question about microdata files available for the GSS (victimization) cycle 28, or previous. A researcher is interested in joining data from this survey with data from the Census and therefore requires more detailed geographic information than what is available with the DLI PUMF. In the PUMF, the geographic variables only 'go down' to the provincial level. The restricted dataset has many more geographic variables available, which would be better in this case.
However, the microdata files aren't consistent with their inclusion of data from the territories vs provinces. None of the DLI PUMFs contain data from the territories. The cycle 28 RDC dataset only contains variables for responses from the provinces, while the cycle 23 RDC dataset only contains responses from the territories.
Are there any microdata datasets (RDC/DLI) that contain responses from both the provinces and territories, that will have more specific geographic variables?
Answer:
I’ve received the following response from subject matter:
“It is never a good idea to ‘join data’ from two different surveys, given differences in in their populations, methodologies and time frames.
In general, the GSS is only carried out in the provinces, the exception being the Victimization cycle, last completed in 2014.
As of 2019, the GSS targets a sample size of approximately 20,000 respondents. Sometimes a cycle has a higher target sample size if funding has been received for an oversample, either in the form of a geographical sample top-up (i.e., adding more units in certain geographic areas), a targeted oversample (e.g. focussing on immigrants, youth, or another population group), or a general oversample (i.e., increasing the raw sample size). With a final sample of 20,000 respondents, basic survey estimates are usually available for the national and regional levels, and for some provinces and census metropolitan areas. Depending on the survey topic, the sample size may be sufficient to produce estimates for certain population groups such as lone parent families, certain visible minority groups or seniors.”
I have a question about microdata files available for the GSS (victimization) cycle 28, or previous. A researcher is interested in joining data from this survey with data from the Census and therefore requires more detailed geographic information than what is available with the DLI PUMF. In the PUMF, the geographic variables only 'go down' to the provincial level. The restricted dataset has many more geographic variables available, which would be better in this case.
However, the microdata files aren't consistent with their inclusion of data from the territories vs provinces. None of the DLI PUMFs contain data from the territories. The cycle 28 RDC dataset only contains variables for responses from the provinces, while the cycle 23 RDC dataset only contains responses from the territories.
Are there any microdata datasets (RDC/DLI) that contain responses from both the provinces and territories, that will have more specific geographic variables?
Answer:
I’ve received the following response from subject matter:
“It is never a good idea to ‘join data’ from two different surveys, given differences in in their populations, methodologies and time frames.
In general, the GSS is only carried out in the provinces, the exception being the Victimization cycle, last completed in 2014.
As of 2019, the GSS targets a sample size of approximately 20,000 respondents. Sometimes a cycle has a higher target sample size if funding has been received for an oversample, either in the form of a geographical sample top-up (i.e., adding more units in certain geographic areas), a targeted oversample (e.g. focussing on immigrants, youth, or another population group), or a general oversample (i.e., increasing the raw sample size). With a final sample of 20,000 respondents, basic survey estimates are usually available for the national and regional levels, and for some provinces and census metropolitan areas. Depending on the survey topic, the sample size may be sufficient to produce estimates for certain population groups such as lone parent families, certain visible minority groups or seniors.”
Friday, May 10, 2019
New Release - LFS April 2019
We are pleased to inform you that the following product is now available.
Labour Force Survey (LFS) - April 2019
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/1976-2018/data/micro2019-04.zip
Nesstar Webview: Labour Force Survey (LFS), April 2019
Labour Force Survey (LFS) - April 2019
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/1976-2018/data/micro2019-04.zip
Nesstar Webview: Labour Force Survey (LFS), April 2019
Canadian Survey on Disability 2017
Question:
I've had a request for information about this survey, and I see that it's listed as available in the RDC, but there is no metadata available on your Nesstar server. Any ideas as to where it might be? It has to exist, given that it's in the RDC. Failing getting access to the codebook, would it be possible to get some clarification on certain variables? Thanks much in advance!
Answer:
I've just put in a request to get access to the codebook for this survey in order for me to code it into Nesstar - without knowing how large it is, I won't be able to accurately give a timeline just yet, however if you're in a rush I can send any questions you may have off to subject matter (or verify the codebook myself).
I've had a request for information about this survey, and I see that it's listed as available in the RDC, but there is no metadata available on your Nesstar server. Any ideas as to where it might be? It has to exist, given that it's in the RDC. Failing getting access to the codebook, would it be possible to get some clarification on certain variables? Thanks much in advance!
Answer:
I've just put in a request to get access to the codebook for this survey in order for me to code it into Nesstar - without knowing how large it is, I won't be able to accurately give a timeline just yet, however if you're in a rush I can send any questions you may have off to subject matter (or verify the codebook myself).
Canadian Freight Analysis Framework
Question:
One of our patrons is interested in inter-regional trade, and is currently using the Canadian Freight Analysis Framework (https://www150.statcan.gc.ca/n1/pub/50-503-x/50-503-x2018001-eng.htm). I’ve checked the master spreadsheet and there doesn’t appear to be anything else available via the DLI, nor does it seem to be available via the RDD, but I thought I would check with you.
Specifically, the patron is hoping for a more disaggregated SCTGGroup, the type of commodity shipped.
Answer:
I had quite a lengthy chat with one of the subject matter experts in this area and unfortunately we were not able to come up with anything that would have met this individual's needs. I sent an email earlier this morning on a similar subject that contained a few resources that may also be helpful for your researcher, but nothing containing inter-regional trade unfortunately.
Sorry we couldn't be of more help! I was told that this may be revisited in the future however (and these types of questions/interests help get the project moving!)
One of our patrons is interested in inter-regional trade, and is currently using the Canadian Freight Analysis Framework (https://www150.statcan.gc.ca/n1/pub/50-503-x/50-503-x2018001-eng.htm). I’ve checked the master spreadsheet and there doesn’t appear to be anything else available via the DLI, nor does it seem to be available via the RDD, but I thought I would check with you.
Specifically, the patron is hoping for a more disaggregated SCTGGroup, the type of commodity shipped.
Answer:
I had quite a lengthy chat with one of the subject matter experts in this area and unfortunately we were not able to come up with anything that would have met this individual's needs. I sent an email earlier this morning on a similar subject that contained a few resources that may also be helpful for your researcher, but nothing containing inter-regional trade unfortunately.
Sorry we couldn't be of more help! I was told that this may be revisited in the future however (and these types of questions/interests help get the project moving!)
Subscribe to:
Posts (Atom)