Question
I note the geography for the LFS through DLI[Nesstar] is limited to province and the 3 largest CMAs, however CANSIM includes a table [282-0124] with geography for the ERs.
I thought this would have been addressed before so I did look at the DLI archive and training repository, but find nothing addressing the fact that the LFS in Nesstar does not includes a breakdown by ER.
Answer
That is correct, in the Public Use Microdata File (PUMF) (the file on nesstar), the geographic variables are limited to the province and the 3 largest CMAs. Included in the PUMF you also have a wealth of other variables to choose from. Microdata enables a user more control over the variables offered for analysis. Whereas, the tables in CANSIM have limited variables for which a user can manipulate.
The variables in an aggregate data file (table on CANSIM) do not lend themselves to generating cross-tabulations of individuals since the initial unit of observation has been replaced by time (eg: time series data), geography (eg: census / geography) or a social construct (eg: cause of death – HID).
Modifications are performed to a PUMFs to anonymise the file, including combining variables, limiting categories, removing variables (example with Geography), etc, that will reduce the risk of users identifying a respondent.
More information can be found in section 4. Data in the DLI Survival Guide.
Thursday, November 10, 2016
Wednesday, November 9, 2016
CTADS 2015
Canadian Tobacco, Alcohol and Drugs Survey (CTADS) 2015
CTADS data for 2015 are now available on the EFT site.
As of 2015, new content, covering alcohol use as well as prescription and non-prescription drug use, was added to the Canadian Tobacco Use Monitoring Survey. Therefore, the survey is now entitled Canadian Tobacco, Alcohol and Drugs Survey (CTADS).
The overall objective of CTADS is to provide regular and reliable data on tobacco, alcohol and drug use and related issues, with the primary focus on 15- to 24-year-olds.
Definitions, data sources and methods: survey number 4440.
The Canadian Tobacco, Alcohol and Drugs Survey (CTADS) is a biennial general population survey of tobacco, alcohol and drug use among Canadians aged 15 years and older. It replaces the Canadian Tobacco Use Monitoring Survey (CTUMS), which was conducted from 1999 to 2012, and the Canadian Alcohol and Drug Use Monitoring Survey (CADUMS), which was conducted from 2008 to 2012. The CTADS merged the core tobacco content from CTUMS and the core drug and alcohol content from CADUMS, resulting in more efficient data collection and providing a tool to monitor and compare the use of multiple products and substances with addictive properties. The CTADS is conducted by Statistics Canada on behalf of Health Canada.
Understanding Canadian trends in tobacco, alcohol and drug use is vital to the effective development, implementation and evaluation of national and provincial health strategies, policies and programs.
Eft: /MAD_PUMF_FMDG_DAM/Root/4440_CTADS_ECTAD/2015
CTADS data for 2015 are now available on the EFT site.
As of 2015, new content, covering alcohol use as well as prescription and non-prescription drug use, was added to the Canadian Tobacco Use Monitoring Survey. Therefore, the survey is now entitled Canadian Tobacco, Alcohol and Drugs Survey (CTADS).
The overall objective of CTADS is to provide regular and reliable data on tobacco, alcohol and drug use and related issues, with the primary focus on 15- to 24-year-olds.
Definitions, data sources and methods: survey number 4440.
The Canadian Tobacco, Alcohol and Drugs Survey (CTADS) is a biennial general population survey of tobacco, alcohol and drug use among Canadians aged 15 years and older. It replaces the Canadian Tobacco Use Monitoring Survey (CTUMS), which was conducted from 1999 to 2012, and the Canadian Alcohol and Drug Use Monitoring Survey (CADUMS), which was conducted from 2008 to 2012. The CTADS merged the core tobacco content from CTUMS and the core drug and alcohol content from CADUMS, resulting in more efficient data collection and providing a tool to monitor and compare the use of multiple products and substances with addictive properties. The CTADS is conducted by Statistics Canada on behalf of Health Canada.
Understanding Canadian trends in tobacco, alcohol and drug use is vital to the effective development, implementation and evaluation of national and provincial health strategies, policies and programs.
Eft: /MAD_PUMF_FMDG_DAM/Root/4440_CTADS_ECTAD/2015
Monday, November 7, 2016
Concussion statistics
Question
I have a student looking for the number of sports-related concussions sustained by 18-24 year olds (university-aged) in Canada. We’re finding concussion numbers (not specifically sports-related) or sports-related injuries (not specifically concussions), and we cannot find the age group she wants. I think the Canadian Community Health Survey would have this data, but would something this specific be a custom tab?
I did find some CIHI data that might be close enough, but I wanted to check with others in case I’m missing something.
Answer
From subject-matter:
Since this is DLI, I assume the student is using the PUMF. For 18-24, they could use DHHGAGE=3 or 4 (18-19 and 20-24). However, for injuries, the type of injury that represents concussions has been grouped with another category due to potential disclosure risks on certain categories. If they look at INJG05=8,this will represent concussion, brain injury or other internal injury. And for sports, they’d have to look at INJG092=1 (injured while doing sports or exercise).
If they don’t want internal injuries grouped in, then it would have to be a custom tab. In that case, you’d use INJ_05=8 (concussion or brain injury) and INJ_09=1 (injured while doing sports or exercise).
One important thing to explain to the client is that the INJ variables represents the most serious injury reported by the respondent, not all injuries in Canada. Each of those people who reported a different injury could have also had a concussion, but since it was not the most serious of the year, we don’t have data for it. So the INJ content gives you a rough idea of the injury rate.
From production:
If the client wishes to have a custom tabulation, we recommend using a two years estimate (2013-2014) as the sample size for a single year is quite small and reduces the reliability of the data.
Cost estimate : $189.00 plus applicable taxes
Delivery time: 10-15 business days.
Since this is DLI, I assume the student is using the PUMF. For 18-24, they could use DHHGAGE=3 or 4 (18-19 and 20-24). However, for injuries, the type of injury that represents concussions has been grouped with another category due to potential disclosure risks on certain categories. If they look at INJG05=8,this will represent concussion, brain injury or other internal injury. And for sports, they’d have to look at INJG092=1 (injured while doing sports or exercise).
If they don’t want internal injuries grouped in, then it would have to be a custom tab. In that case, you’d use INJ_05=8 (concussion or brain injury) and INJ_09=1 (injured while doing sports or exercise).
One important thing to explain to the client is that the INJ variables represents the most serious injury reported by the respondent, not all injuries in Canada. Each of those people who reported a different injury could have also had a concussion, but since it was not the most serious of the year, we don’t have data for it. So the INJ content gives you a rough idea of the injury rate.
From production:
If the client wishes to have a custom tabulation, we recommend using a two years estimate (2013-2014) as the sample size for a single year is quite small and reduces the reliability of the data.
Cost estimate : $189.00 plus applicable taxes
Delivery time: 10-15 business days.
Friday, November 4, 2016
Notification of changes to the Harmonized Commodity Descriptions and Coding System (HS)
We’ve recently made changes to descriptions of import and export commodities in the Harmonized Commodity Descriptions and Coding System (HS). The purpose of these changes is to mirror international standards and clarify commodity descriptions. No changes to the HS codes themselves have been made at this time.
Furthermore, we would also like to advise our clients of the upcoming 2017 World Customs Organization (WCO) 6-digit Harmonized System updates. Updates up to and including the 6-digit HS are made every 5 years by the WCO with the next scheduled update set for January 2017. The structure of the classification, the codes, and the descriptions will be made in order to reflect international standards and requirements. It should also be noted that Statistics Canada has reduced the number of low value import and export HS codes. These changes will be reflected in the March 2017 release of Canada’s merchandise trade data.
Upon request, starting in January 2017, Statistics Canada will make available a concordance between the 2012 6-digit HS and the 2017 6-digit HS classification codes, as well as concordances between the 2016 and 2017 detailed levels on Export (HS8) and Import (HS10).
Furthermore, we would also like to advise our clients of the upcoming 2017 World Customs Organization (WCO) 6-digit Harmonized System updates. Updates up to and including the 6-digit HS are made every 5 years by the WCO with the next scheduled update set for January 2017. The structure of the classification, the codes, and the descriptions will be made in order to reflect international standards and requirements. It should also be noted that Statistics Canada has reduced the number of low value import and export HS codes. These changes will be reflected in the March 2017 release of Canada’s merchandise trade data.
Upon request, starting in January 2017, Statistics Canada will make available a concordance between the 2012 6-digit HS and the 2017 6-digit HS classification codes, as well as concordances between the 2016 and 2017 detailed levels on Export (HS8) and Import (HS10).
LFS - October 2016
Labour Force Survey (LFS) – October 2016
LFS data for October 2016 are now available on the EFT site.
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_FMDG_DAM/Root/3107_LFS_EPA/1976-2016/data/micro2016-10.zip
We are pleased to inform you that the following are now available on the Statistics Canada Nesstar WebView site (http://dli-idd-nesstar.statcan.gc.ca/webview).
PUMFs
Labour Force Survey (LFS), 2016 – October
LFS data for October 2016 are now available on the EFT site.
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_FMDG_DAM/Root/3107_LFS_EPA/1976-2016/data/micro2016-10.zip
We are pleased to inform you that the following are now available on the Statistics Canada Nesstar WebView site (http://dli-idd-nesstar.statcan.gc.ca/webview).
PUMFs
Labour Force Survey (LFS), 2016 – October
Wednesday, November 2, 2016
Annual Retail Trade Survey & Retail Store Survey Firm-Level Data
Question
I’m working with a researcher interested in the Annual Retail Trade Survey (2447) –formerly the Annual Retail Store Survey (2446) & the Annual Survey of Manufactures and Logging (ASML) –formerly the Annual Survey of Manufacturing and Logging Industries (ASML) formerly the Annual Survey of Manufactures.
Would firm level data or microdata be available by custom tab?
I’m working with a researcher interested in the Annual Retail Trade Survey (2447) –formerly the Annual Retail Store Survey (2446) & the Annual Survey of Manufactures and Logging (ASML) –formerly the Annual Survey of Manufacturing and Logging Industries (ASML) formerly the Annual Survey of Manufactures.
Would firm level data or microdata be available by custom tab?
Answer
Firm level data would not be available as a custom tab, as:
Statistics Canada is prohibited by law from releasing any data that would divulge information obtained under the Statistics Act that relates to any identifiable person, business or organization.
Various confidentiality rules are applied to all data that are released or published to prevent the publication or disclosure of any information deemed confidential. As such, you will find tables that are available for the ARSS here:
Firm level data would not be available as a custom tab, as:
Statistics Canada is prohibited by law from releasing any data that would divulge information obtained under the Statistics Act that relates to any identifiable person, business or organization.
Various confidentiality rules are applied to all data that are released or published to prevent the publication or disclosure of any information deemed confidential. As such, you will find tables that are available for the ARSS here:
Summary tables
Publications
Analysts and researchers
CANSIM
The list of chain is the only detailed information available (because we have waivers with the companies asking for their permission to divulge this information), no other data at firm level is available.
Here is what she is referring to
2014 Annual Retail Trade Survey – Partial List of Retail Chain Stores
http://www23.statcan.gc.ca/imdb-bmdi/document/2447_D5_T9_V12-eng.htm
Publications
Analysts and researchers
CANSIM
The list of chain is the only detailed information available (because we have waivers with the companies asking for their permission to divulge this information), no other data at firm level is available.
Here is what she is referring to
2014 Annual Retail Trade Survey – Partial List of Retail Chain Stores
http://www23.statcan.gc.ca/imdb-bmdi/document/2447_D5_T9_V12-eng.htm
International Merchandise Trade Data by Commodity Classification, 2009
Question
There is a researcher here on campus using the "International Merchandise Trade Data by Commodity Classification, 2009". We were noticed for some rows zeroes are listed for quantity (position 33-45 in the row) and value (CDN$) (position 46-58) is not zero. It is strange for nothing to have a value. I have looked through the documentation here:http://www5.statcan.gc.ca/cimt-cicm/page-page?lang=eng&mode=concepts. But, it is not clear to me.
Answer
“CIMT is limited to HS6 level data and as such there are likely to be HS8 or HS10-level codes nested under any given HS6 code. The nested HS8 or HS10 codes may have different units of measure for each commodity they represent. Without a common unit of measure for all nested codes under a given HS6 code any quantity amounts cannot be represented at the HS6 level.”
There is a researcher here on campus using the "International Merchandise Trade Data by Commodity Classification, 2009". We were noticed for some rows zeroes are listed for quantity (position 33-45 in the row) and value (CDN$) (position 46-58) is not zero. It is strange for nothing to have a value. I have looked through the documentation here:http://www5.statcan.gc.ca/cimt-cicm/page-page?lang=eng&mode=concepts. But, it is not clear to me.
Answer
“CIMT is limited to HS6 level data and as such there are likely to be HS8 or HS10-level codes nested under any given HS6 code. The nested HS8 or HS10 codes may have different units of measure for each commodity they represent. Without a common unit of measure for all nested codes under a given HS6 code any quantity amounts cannot be represented at the HS6 level.”
Subscribe to:
Posts (Atom)