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Canadian Research and Development Classification (CRDC) 2020 Version 1.0

Release date: October 5, 2020

Status

This standard was approved as a recommended standard on May 26, 2020.

CRDC 2020 Version 1.0

The Canadian Research and Development Classification (CRDC) was developed conjointly by the Social Sciences and Humanities Research Council of Canada (SSHRC), the Natural Sciences and Engineering Research Council of Canada (NSERC), the Canada Foundation for Innovation (CFI), the Canadian Institutes of Health Research (CIHR), and Statistics Canada which is the custodian. This shared standard classification, inspired by the Frascati Model 2015 of the Organisation for Economic Co-operation and Development (OECD), will be used by the federal granting agencies and Statistics Canada to collect and disseminate data related to research and development in Canada. The CRDC first official version is the 2020 version 1.0 and it is composed of 3 main pieces: the type of activity or TOA (with 3 categories), the field of research or FOR (with 1663 fields at the lowest level) and socioeconomic objective or SEO (with 85 main groups at the lowest level).

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CRDC 2020 Version 1.0 (PDF, 972.72 KB) (Catalogue number: 89260004)

August 2020 edition

This module provides a concise summary of selected Canadian economic events, as well as international and financial market developments by calendar month. It is intended to provide contextual information only to support users of the economic data published by Statistics Canada. In identifying major events or developments, Statistics Canada is not suggesting that these have a material impact on the published economic data in a particular reference month.

All information presented here is obtained from publicly available news and information sources, and does not reflect any protected information provided to Statistics Canada by survey respondents.

COVID-19 timeline

The Government of British Columbia announced on August 4^th that it had formally extended the provincial state of emergency until August 18^th. On August 18^th, the Government further extended the state of emergency until September 1^st.
The Government of the Northwest Territories announced on August 5^th that it had extended the territory-wide Public Health Emergency until August 18^th. On August 18^th, the Government further extended the Public Health Emergency until September 1^st.
The Government of Nunavut announced on August 6^th that it had extended the territory's public health emergency until August 20^th. On August 21^st, the Government announced it had extended the public health emergency until September 3^rd.
The Government of Nova Scotia announced on August 8^th that it was renewing the state of emergency until August 23^rd. On August 21^st, the Government announced it was renewing the state of emergency until September 6^th.
The Government of Manitoba announced on August 12^th that it would extend the provincewide state of emergency for a period of 30 days.
The Government of Ontario announced on August 20^th that it was extending orders currently in force under the Reopening Ontario (A Flexible Response to COVID-19) Act, 2020 to September 22, 2020.
The Government of New Brunswick announced on August 21^st that the state of emergency mandatory order was renewed.

Selected COVID-19 responses

The Government of Canada announced on August 20^th that it will (i) be transitioning from the Canada Emergency Response Benefit (CERB) to an Employment Insurance (EI) program, effective September 27, 2020, to provide income support to those who remain unable to work and are eligible, and (ii) introducing a new suite of temporary and taxable recovery benefits to further support workers. The Government said that while it prepares for this transition, the CERB will be extended by an additional four weeks, providing a new maximum of up to 28 weeks of benefits.
The Government of Canada announced on August 14^th that it was extending reciprocal restrictions at the Canada-U.S. border until September 21, 2020.
The Government of Canada announced on August 26^th up to $2 billion in support for provinces and territories through the Safe Return to Class Fund. The Government said the fund is in addition to the more than $19 billion previously announced for the Safe Restart Agreement to help provinces and territories safely restart their economies.

Resources

Calgary-based Suncor Energy Inc. announced that both upgraders at Base Plant remain online at minimum rates following a fire that occurred in the secondary extraction area on August 14^th. Suncor said it expects mined bitumen production to return to operation by early September.
On August 24^th, the Government of Canada announced that it welcomes the World Trade Organization (WTO) panel ruling that U.S. countervailing duties against Canadian softwood lumber are inconsistent with the WTO obligations of the United States.

Manufacturing

Mississauga-based Maple Leaf Foods Inc. announced on August 18^th that it had temporarily suspended pork exports to China on a voluntary basis due to recent protocols adopted by the Chinese government for Canadian processors that require any plant reporting a COVID-19 positive case to suspend exports to China temporarily.

Transportation

Toronto-based Porter Airlines announced it was updating its return-to-service date to October 7^th, from the previously-announced target of August 31^st. Porter said it temporarily suspended operations as of March 21^st, due to COVID-19.

Other news

The President of the United States announced the U.S. would re-impose the 10% ad valorem tariff on imports of non-alloyed unwrought aluminum articles from Canada. The President said the tariffs would take effect on August 16, 2020. The Government of Canada subsequently announced it intends to impose surtaxes against imports of aluminum and aluminum-containing products from the U.S., representing a proportionate amount of Canadian aluminum products affected by the U.S. tariffs. The Government of Canada said these countermeasures will take effect by September 16, 2020 and will remain in place until the U.S. eliminates its tariffs against Canada.
On August 12^th, the Government of Ontario released its 2020-21 First Quarter Finances which included additional investments in support of health care and jobs. The Government forecasts a $38.5 billion deficit in 2020-2021 and a contraction in real GDP of 6.6% in 2020.
On August 27^th, the Government of Alberta released its 2020-21 First Quarter Fiscal Update and Economic Statement. The Government forecasts a $24.2 billion deficit in 2020-2021 and a contraction in real GDP of 8.8%.
On August 27^th, the Government of Saskatchewan released its 2020-21 First Quarter Budget Update and Medium-Term Outlook. The Government forecasts a $2.1 billion deficit in 2020-2021 and a contraction in real GDP of 5.5%.
Toronto-based Cineplex Inc. announced that all 164 Cineplex theatres and 1,687 screens across Canada would be open as of August 21^st.
The Maritime Employers Association (MMA) announce that it and the Port of Montreal Longshoreman's Union had reached an agreement in principle on a seven-month truce ending the strike that began on August 10, 2020. The MMA said the port would be operational again from August 22^nd.
Unifor announced on August 22^nd that Unifor Local 597 members at Dominion grocery stores across Newfoundland began strike action.
Smith Falls, Ontario-based Canopy Growth Corporation announced on August 28^th that it would be opening 10 brick-and-mortar retail cannabis locations across Alberta over the next week.

United States and other international news

U.S. President Donald J. Trump declared that a major disaster exists in the State of California and ordered Federal aid to supplement State, tribal, and local recovery efforts in the areas affected by wildfires beginning on August 14, 2020, and continuing.
U.S. President Donald J. Trump declared that an emergency exists in the States of Louisiana, Mississippi, and Texas and ordered Federal assistance to supplement State, tribal, and local response efforts due to the emergency conditions resulting from Tropical Storms Marco and Laura beginning on August 22, 2020, and continuing.
The Bank of England's Monetary Policy Committee (MPC) voted to maintain the Bank Rate at 0.1%. The MPC also voted to continue with the existing programmes of UK government bond and sterling non-financial investment-grade corporate bond purchases, financed by the issuance of central bank reserves, maintaining the target for the total stock of these purchases at £745 billion.
The Reserve Bank of Australia (RBA) maintained the target for the cash rate and the yield on 3-year Australian Government bonds at 0.25%. The last change in the target for the cash rate was a 50 basis points reduction in March 2020.
The Reserve Bank of New Zealand left the Official Cash Rate (OCR), its main policy rate, unchanged at 0.25% and expanded the Large Scale Asset Purchase (LSAP) programme up to NZD $100 billion. The last change in the OCR was a 75 basis points reduction in March 2020.
The Executive Board of Norway's Norges Bank decided to keep the policy rate unchanged at 0.0%. The last change in the policy rate was a 25 basis points reduction in May 2020.
Atlanta, Georgia-based The Coca-Cola Company announced structural changes that will result in the reallocation of some people and resources, which will include voluntary and involuntary reductions in employees. The company said the voluntary separation program will be first offered to approximately 4,000 employees in the United States, Canada and Puerto Rico.
New Jersey-based Bed Bath & Beyond Inc. announced a workforce reduction of approximately 2,800 roles from across its corporate headquarters and retail banner stores, effective immediately.

Financial market news

West Texas Intermediate crude oil closed at USD $42.61 per barrel on August 31^st, up from a closing value of USD $40.27 at the end of July. Western Canadian Select crude oil traded in the USD $29 to $34 per barrel range throughout August. The Canadian dollar closed at 76.68 cents U.S. on August 31^st, up from 74.60 cents U.S. at the end of July. The S&P/TSX composite index closed at 16,514.44 on August 31^st, up from 16,169.20 at the end of July.

Estimation of excess mortality

Introduction

There are a number of indicators that are useful for monitoring the evolution and the impact of a pandemic like COVID-19 in terms of fatalities. Excess mortality is considered a better indicator for monitoring the scale of the pandemic and making comparisons.^{Footnote 1}^{Footnote 2} Excess mortality refers to the "mortality above what would be expected based on the non-crisis mortality rate in the population of interest."^{Footnote 3} Excess mortality also encompasses collateral impacts of the pandemic, such as deaths occurring because of the overwhelming of the health care system, or deaths avoided due to decreased air pollution or traffic.^{Footnote 4}^{Footnote 5}^{Footnote 6}

Estimating excess deaths

There are a number of challenges associated with measures of excess deaths. The most important challenge is to properly estimate some level of expected deaths that would occur in non-Covid19 context as a comparison basis for the current counts of deaths.^{Footnote 1} Indeed, death is a statistically rare event, and important variations may be observed from year to year in the annual counts of deaths, in particular in the less populated provinces and in the territories. Moreover, yearly counts of deaths may be affected by changes in the composition of the population, in regard to age more particularly, and changes in mortality rates (e.g. improvement of mortality).

A second challenge is the difficulty to collect timely counts of deaths. In Canada, death data are collected by the provincial and territorial vital statistical offices. The capacity to provide death data to Statistics Canada in a timely manner varies greatly.^{Footnote 7} Moreover, it is possible that the pandemic imposes a burden on health care and other institutions that disturb the data collection process, although it could instead add pressure for accelerated collection. The incomplete coverage of the numbers of deaths makes it difficult to draw any conclusions on the extent of excess deaths in Canada that could be caused by the COVID-19 pandemic.

Beginning on May 13, 2020, Statistics Canada has been releasing provisional counts of excess deaths for 2020.^{Footnote 8} Although the data were published for transparency and as information to be tracked and updated regularly, the uncertainty associated with the baseline expected death counts and the incomplete coverage of the numbers of deaths made it difficult to draw conclusions on the extent of excess deaths in Canada that could be caused by the COVID-19 pandemic. Statistical models are used to obtain estimated death counts adjusted for incompleteness and to estimate baseline non-Covid mortality. Estimates of excess deaths are obtained by comparing adjusted counts with modeled baseline mortality for all weeks in 2020 up to July 4. A description of the models is provided in the next section.

Methodology

This section describes the distinct models used for estimation of baseline mortality and adjustment of observed death counts.

Estimating expected mortality

The model used to estimate the expected number of deaths is based on a quasi-Poisson regression model fit to weekly death count data. Adapted from an infectious disease detection algorithm developed by Farrington et al.,^{Footnote 9} which has been largely utilized in the context of mortality surveillance in recent years^{Footnote 10}. Later modifications to the algorithm, originally implemented by Noufaily et al.^{Footnote 11} and further expanded by Salmon et al.,^{Footnote 12} that aim at addressing certain limitations of the model were also adopted in this implementation.

The model was implemented in the R programming language with the use of the surveillance package,^{Footnote 12} and was applied to weekly^{Footnote 13} death counts (all-cause) spanning a selected reference period of approximately four years (2016-2019). Historical counts are a combination of published death data from the Canadian Vital Statistics Death Database (2016-2018) and provisional death counts (2019) coming from the National Routing System (NRS). Estimates of expected deaths are produced for all weeks of 2020 up until the week ending July 4, 2020.

An overdispersed Poisson generalized linear model with a linear time trend and a seasonal factor is fit to the data. The seasonal component aims to represent the expected pattern across weeks that repeats from year-to-year, and consists of a zero-order spline term with 11 knots, representing 10 distinct periods within a given year.^{Footnote 14} The 10 periods are split between a single 7-week period corresponding to the current week being estimated and the 3 preceding and subsequent weeks, and 9 other 5-week periods corresponding to the rest of the year.

The model can be expressed using the following log-linear configuration:

$log μ_{t} = α + β t + γ_{c (t)}$

where $μ_{t}$ is the expectation of the count in week t, $β$ is the coefficient corresponding to the linear time trend, and $γ_{c (t)}$ the seasonal factor for week t, with c(t) indicating the period in the year that week t belongs to. ^{Footnote 12}

The quasi-Poisson model relaxes the Poisson assumption that the variance must equal the mean. Instead, $E (y_{t}) = μ_{t}$ , and $V a r (y_{t}) = ϕ_{t} μ_{t}$ , where the overdispersion parameter $ϕ$ is estimated from the model using the formula:

$\hat{ϕ} = max \{\frac{1}{n - p} \sum_{i = 1}^{n} w_{i} \frac{(y_{i} - {\hat{μ}}_{i})^{2}}{{\hat{μ}}_{i}}, 1\}$

where n is the number of weeks used in the baseline, and p the number of parameters in the model. A value of $ϕ = 1$ implies no overdispersion (regular Poisson model), and $ϕ < 1$ implies underdispersion (a rare occurrence, hence the condition on $\hat{ϕ}$ ). A weight w is assigned to each of the historical observations, based on the value of its standard deviation in an unweighted model. This reduces the influence of potential outliers on the estimation of the expected counts and corresponding prediction interval.

Finally, a 95% prediction interval is computed for the expected count in week t by assuming that the count follows a negative binomial distribution with mean $μ_{t}$ and size parameter set to $μ_{t} ⁄ (ϕ_{t} - 1)$ .

Adjusting death counts for incompleteness

Analysis of death by date (or week) of death is inevitably distorted by delays in reporting. This necessitates appropriate correction of the observed data to estimate the number of death that have occurred but not yet reported. The data received by Statistics Canada via the NRS contain information of day of death, date of report and some demographic information (e.g. age and sex).

Reporting delays are susceptible to change over time, and this is all the more true in a time of a pandemic. For this reason, the model estimates adjustment factors that are based on recent data, and uses different period for weeks that are during the pandemic and those preceding it. Weekly counts of deaths that occurred between December 29, 2019 and March 22, 2020 were adjusted based on the distribution of reporting delays estimated from death records received prior to March 22, 2020. Deaths counts for weeks between March 22 and July 4 were adjusted based on reporting delays observed between March 22 and August 7. In some jurisdictions, the level of data completeness of death records can be very low for the most recent weeks. Weekly adjusted counts are provided only for weeks where the estimated coverage rates satisfy a minimum threshold.^{Footnote 15}

The method used for adjusting observed death counts was originally developed by Brookmeyer and Damiano^{Footnote 16} to model daily counts. It was adapted here to work on a weekly scale. The model was implemented in R programming language using code sent by the authors.^{Footnote 17} The number of deaths occurring on week t and reported in week t+d (i.e. with a delay of d weeks), $Y_{t d}$ , is modeled using the following Poisson regression model:

$LOG (E (Y_{t d})) = α_{t} + β_{d}$

where $α_{t}$ represents the log-transformed preliminary reported count in week t, and $β_{d}$ is the term representing the adjustment for underreporting. Note that the right side of the equation is in a log scale so the underreporting adjustment can be seen as a multiplicative adjustment in the original scale. The adjusted number of deaths occurring in week t is then the observed deaths count divided by the estimated probability that the lag on the death being reported is less or equal to a maximum of x weeks, with x+t being the last observable week to report deaths, i.e. x is the maximum delay time in the dataset minus the week of the death t:

Adjusted number of deaths (t)= $\frac{\sum_{d = 0}^{d_{m {a x}^{- t}}} Y_{t d}}{P (delay \leq d_{\max} - t | time = t, delay \leq d_{\max})}$

Estimating excess mortality

To calculate the weekly number of excess deaths, the baseline number of deaths in the absence of the pathogen (COVID-19) is subtracted from the observed (and adjusted for reporting delay) number of deaths for the period of interest. The method involves the following steps:

Quasi Poisson models are fit to the weekly death counts at the provincial and territorial level from January 1st 2016 to January 1st 2020 to obtain a baseline measure of the expected mortality.
Baseline deaths are projected for year 2020 until July 4.
Adjust for reporting delays the weekly counts of deaths that occurred from December 29, 2019 to March 22, 2020 based on the distribution of reporting delays estimated from death records received prior to March 22, 2020.
Adjust for reporting delays the weekly counts of deaths that occurred from the week ending March 22 to July 4 based on reporting delays observed between March 22 and August 7.
Apply an additional correction to the counts and prediction intervals for the period for March 22 to July 4. This correction factor is the ratio of the adjusted count for the week of March 22 based on the distribution of reporting delays estimated from death records received prior to March 22, 2020 to the unadjusted count for the same week.
Excess mortality is defined as the adjusted observed mortality minus the baseline for the period of interest.

The 95% prediction intervals surrounding estimates of excess deaths were computed by combining the variances from the two models. An empirical distribution of excess deaths is calculated by randomly pairing 10,000 estimates (replicates) from each model, as per the bootstrap method. The bounds of the prediction intervals represent quantiles of the empirical distribution. The method assumes independence between the two processes that are weekly mortality and collection of death records, but makes no assumption about the statistical distribution of excess deaths.

Validation

The computation of excess mortality requires the estimation of two greatly uncertain processes: how many deaths there should be in a given week, and how many deaths occurred that were not yet recorded at the time of estimation. The use of modelling for estimation of excess deaths aims at improving estimation but also, importantly, to reflect the uncertainty of these processes.

Validation of the models tend to show that they perform well in many regards. Expected counts tend to mimic the seasonal patterns typically observed during a year and follow the increase observed in past years (mainly due to population growth, particularly at old ages). However, because they captured over periods comprising several weeks, these seasonal patterns tend to be smoothed to some extent. For example, the application of time series models to weekly counts tend to produce more defined peaks, in particular in the month of January (likely due to influenza outbreaks). Another limitation has to do with the way prediction intervals are computed. In the model for estimating expected counts, the death counts are assumed to follow a negative binomial distribution, which is well adapted for modelling discrete counts data susceptible to present overdispersion. However, the bounds of the prediction intervals are defined as the quantiles of the negative binomial distribution, and thus do not reflect the variance due to parameter estimation. A better statistical representation would also account for uncertainty in parameter estimation.

The model for adjusting death counts was designed mainly for its capacity to capture recent trends in reporting delays. Experimentation with different time periods suggest that indeed, there have been changes in the pace at which deaths are registered in the provincial and territorial vital statistics database, at least in some provinces. However, the model assumes that there are no changes within the reference period considered. This is not guaranteed, in particular in a time of pandemic. Another limitation is that with the reference period is too short for capturing adequately potential seasonal patterns. The application of times series models to the data reveals the presence of some seasonal patterns in the coverage rates for some lags (number of days between date of death and report date). It is assumed that biases due to changes in reporting patterns are more important than those due to seasonality. Likewise, potential patterns of underreporting related to some specific days of the week, such as Sundays or holidays, were not considered.

Statistics Canada will continue to refine the methodology in an effort to better inform Canadians of the effects of the COVID-19 pandemic.

Footnotes

Footnote 1

National Academies of Sciences, Engineering, and Medicine. (2020). Evaluating Data Types: A Guide for Decision Makers using Data to Understand the Extent and Spread of COVID-19. Washington, DC: The National Academies Press. Evaluating Data Types.

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Footnote 2

Leon, D.A., V.M. Shkolnikov, L. Smeeth, P. Magnus, M. Pechholdová and C.I. Jarvis. (2020). COVID-19: a need for real-time monitoring of weekly excess deaths. Lancet. 395: e81. Published Online (April 22). COVID-19: a need for real-time monitoring of weekly excess deaths.

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Footnote 3

Checchi, F. and L. Roberts. (2005). Interpreting and using mortality data in humanitarian emergencies. Humanitarian Practice Network, 52. Interpreting and using mortality data in humanitarian emergencies.

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Footnote 4

Goldstein, J. and R.D. Lee. (2020). Demographic perspectives on mortality of COVID-19 and other epidemics. Working Paper 27043. National Bureau of Economic Research. Retrieved (2020, June 1st)) from: Demographic Perspectives on Mortality of Covid-19 and Other Epidemics

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Footnote 5

Banerjee, A., L. Pasea, S. Harris, A. Gonzalez-Izquierdo, A. Torralbo, L. Shallcross, M. Noursadeghi, D. Pillay, N. Sebire, C. Holmes, C. Pagel, W.K. Wong, C. Langenberg, B. Williams, S. Denaxas and H. Hemingway. (2020). Estimating excess 1-year mortality associated with the COVID-19 pandemic according to underlying conditions and age: a population-based cohort study. The Lancet. 395: 1715–25. Estimating excess 1-year mortality associated with the COVID-19 pandemic according to underlying conditions and age: a population-based cohort study.

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Footnote 6

Cairns, A.J.G, D. Blake, A.R. Kessler and M. Kessler. (2020). The Impact of Covid-19 on Future Higher-Age Mortality. Discussion paper PI-2007, Pensions Institute. The Impact of Covid-19 on Future Higher-Age Mortality.

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Footnote 7

For several jurisdictions, this information is typically sent within 30 days of the death event, while for others it is takes longer. Information about death events from Ontario and New Brunswick is received more than 60 days following the death.

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Footnote 8

Statistics Canada. 2020. Provisional death counts and excess mortality, January to April 2019 and January to April 2020, The Daily (June 19th). Provisional death counts and excess mortality, January to April 2019 and January to April 2020.

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Footnote 9

Farrington, CP, N.J. Andrews, A.J. Beale, M.A. Catchpole. (1996). A statistical algorithm for the early detection of outbreaks of infectious disease. Journal of the Royal Statistical Society Series A; 159:547–563.

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Footnote 10

See for example^{Footnote 18}, ^{Footnote 19}.

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Footnote 11

Noufaily, A., D.G. Enki, P. Farrington, P. Garthwaite, N. Andrews and A. Charlett. (2013). An improved algorithm for outbreak detection in multiple surveillance systems. Statistics in Medicine, 32: 1206-1222. doi:10.1002/sim.55

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Footnote 12

Salmon, M., D. Schumacher and M. Höhle. (2016). Monitoring Count Time Series in R: Aberration Detection in Public Health Surveillance. Journal of Statistical Software 2016;70(10):1-35. doi: 10.18637/jss.v070.i10

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Footnote 13

This corresponds to the epidemiological definition of the week (beginning Sunday).

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Footnote 14

Any arbitrary number of seasonal periods can be selected, though our results appear largely insensitive to this choice. Noufaily et al. ^{Footnote 11} use 10 in their implementation.

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Footnote 15

The ratio of the observed weekly count to the adjusted weekly count must be 75% or greater.

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Footnote 16

Brookmeyer and Damiano. (1989). Statistical methods for short-term projection of AIDS incidence. Statistics in Medicine, 8:23-34.

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Footnote 17

Seaman, S. and D. De Angelis. (2020). Challenges in Estimating the Distribution of Delay from COVID-19 Death to Report Death [PDF report]. Retrieved from: Challenges in estimating the distribution of delay from COVID-19 death to report of death

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Footnote 18

Centers for Disease Control and Prevention. (2020, June 1st). Excess Deaths Associated with COVID-19. Retrieved from: Excess Deaths Associated with COVID-19.

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Footnote 19

EuroMOMO. (2020, July 1st). European mortality monitoring. EuroMOMO Bulletin, Week 34, 2020

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Impact of COVID-19 on Canadians living with long-term conditions and disabilities, audio version

Impact of COVID-19 on Canadians living with long-term conditions and disabilities, audio version - Transcript

This is an audio recording of The Daily article Impacts of COVID-19 on persons with disabilities.

Response Rate for Sawmills, production of lumber (softwood and hardwood) by Geography

Table 1: Response Rate for Sawmills, production of lumber (softwood and hardwood) by Geography
Quantities produced (M.ft. b.m)
Geography	Month
Geography	201901	201902	201903	201904	201905	201906	201907	201908	201909	201910	201911	201912
Canada	0.87	0.89	0.87	0.86	0.89	0.90	0.90	0.87	0.87	0.87	0.85	0.83
Newfoundland and Labrador	0.97	0.97	0.97	0.97	0.96	0.97	0.96	0.90	0.87	0.88	0.88	0.96
Prince Edward Island	0.14	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.10	0.00	0.00	0.00
Nova Scotia	0.75	0.76	0.59	0.76	0.76	0.76	0.96	0.97	0.76	0.57	0.59	0.32
New Brunswick	0.95	0.96	0.92	0.93	0.93	0.93	0.93	0.89	0.88	0.91	0.54	0.80
Quebec	0.91	0.91	0.89	0.83	0.88	0.88	0.87	0.83	0.79	0.86	0.83	0.66
Ontario	0.80	0.79	0.78	0.79	0.75	0.79	0.79	0.78	0.77	0.76	0.80	0.77
Manitoba	0.89	0.81	0.80	0.81	0.81	0.86	0.89	0.89	0.88	0.83	0.85	0.87
Saskatchewan	0.99	0.75	0.99	0.99	1.00	0.99	0.71	0.66	0.73	0.73	0.73	0.74
Alberta	0.92	0.95	0.94	0.95	0.94	0.94	0.94	0.94	0.93	0.93	0.93	0.90
British Columbia	0.85	0.87	0.85	0.85	0.90	0.91	0.92	0.87	0.92	0.91	0.92	0.95
British Columbia Coast	0.95	0.91	0.91	0.91	0.94	0.95	0.93	0.87	0.94	0.92	0.93	0.92
British Columbia Interior	0.83	0.86	0.84	0.84	0.89	0.91	0.91	0.87	0.92	0.91	0.92	0.95
Northern Interior, British Columbia	0.88	0.88	0.80	0.80	0.86	0.92	0.92	0.89	0.92	0.93	0.93	0.98
Southern Interior, British Columbia	0.79	0.84	0.89	0.88	0.93	0.90	0.91	0.86	0.92	0.89	0.91	0.92

Information about Programs and Information Holdings 2020

Introduction
Background
Responsibilities
Institutional Functions, Programs and Activities
- Economic and Environmental Statistics
- Socio-economic Statistics
- Censuses
- Centres of Expertise
- Cost-Recovered Statistical Services
- Internal Services
Classes of Personal Information
Manuals
Additional Information
Reading Room

Introduction

Information about Programs and Information Holdings provides information about the functions, programs, activities and related information holdings of government institutions subject to the Access to Information Act and the Privacy Act. It provides individuals and employees of the government (current and former) with relevant information to access personal information about themselves held by government institutions subject to the Privacy Act and to exercise their rights under the Privacy Act.

The Introduction and an index of institutions subject to the Access to Information Act and the Privacy Act are available centrally.

The Access to Information Act and the Privacy Act assign overall responsibility to the President of Treasury Board (as the designated Minister) for the government-wide administration of the legislation.

Background

The origins of Statistics Canada date from 1918 with the creation of the Dominion Bureau of Statistics. With the passing of a new Statistics Act in 1971, it became Statistics Canada, the name by which it is still known. Therefore it has been over 90 years that the department has served as the national statistical bureau of the country.

Statistics Canada reports to a Minister designated by the Governor in Council as the Minister responsible for Statistics Canada. For most of the years since its establishment, the Agency has reported to a minister with a broad economic mandate. Statistics Canada reports to Parliament through the Minister of Innovation, Science, and Economic Development.

Under the direction of the Minister of Innovation, Science, and Economic Development, the Chief Statistician is charged with the administration of the Statistics Act and the Corporations Returns Act, the provision of advice on statistical matters within the federal government, and the general management of Statistics Canada. The Chief Statistician must report to the Minister on Statistics Canada's activities and that report is to be included in the Minister's annual report to Parliament.

More information: About us

Responsibilities

Statistics Canada's mandate derives primarily from the Statistics Act. The Act requires the agency to collect, compile, analyse and publish statistical information on the economic, social and general activities and conditions of Canada and its people; to collaborate with departments of government in the collection and publication of statistical information; to take the census of population of Canada and the census of agriculture of Canada every five years; to promote the avoidance of duplication in the information collected by departments of government; to promote and develop integrated statistics pertaining to the whole of Canada and to each of the provinces thereof; and to protect the confidentiality of the information with which it is entrusted.

Institutional Functions, Programs and Activities

1) Economic and Environmental Statistics

Statistics Canada produces a wide range of economic indicators that allow policy makers, businesspeople and ordinary Canadians to make informed, evidence-based decisions on almost every aspect of living in society, including their standard of living, their financial security, their investment decisions, and how well they are governed. Several of these indicators are used directly to set fiscal and monetary policy. One of these indicators is the Consumer Price Index (CPI). The CPI affects the standard of living and the financial security of virtually all Canadians. Anyone who has ever paid taxes, paid rent, had a cost-of-living wage increase or taken out a loan has been affected by the CPI. Public and private sector organizations use the CPI to escalate a wide variety of salaries, pensions, transfer payments and expenditures to ensure that purchasing power is maintained over time. The CPI also influences the rate of interest Canadians pay on their mortgages and consumer loans. The Bank of Canada uses other key economic indicators as inputs to our country's monetary policy to ensure that interest rates remain low, stable and predictable. This allows Canadians to make spending and investment decisions with more confidence, encourages longer-term investment in Canada's economy, and contributes to sustained job creation and greater productivity. Statistics Canada also produces environmental statistics that can be linked to economic data. This includes tracking the water, energy and greenhouse gas emission intensities produced by different industries within the Canadian economy, and by governments and households. The agency also produces energy statistics that are crucial feeders to Environment and Climate Change Canada's National Inventory Report on greenhouse gas emissions. Finally, it produces data related to the generation of renewable energy.

Agriculture Statistics
Description: Includes records related to the collection, analysis and dissemination of statistics on the activities of the agriculture sector and people employed in it by means of various agriculture surveys.
Document Types: Questionnaires, administrative records, satellite imagery, reporting guides, operation and planning documents, decision records, interviewer manuals, respondent relations material and correspondence, analytical articles and studies, publications, special tabulations, microdata files, statistical databases, evaluation reports, data-sharing agreements, discretionary disclosure orders, contracts and memoranda of understanding.
Record Number: StatCan AGR 450

Building, Construction and Property Statistics
Description: Includes records on the collection, analysis and publication of statistics relating to construction activity (building permits and residential, commercial, industrial and institutional investment), property values and housing (residential property) stocks and flows and associated characteristics.
Document Types: Questionnaires, administrative data, operation and planning documents, decision records, respondent relations material and correspondence, analytical articles and studies, publications, special tabulations, microdata files, statistical databases, data-sharing agreements, discretionary disclosure orders, contracts and memoranda of understanding.
Record Number: StatCan SCT 475

Capital Expenditures and Public Infrastructure Statistics
Description: Includes records on the collection, analysis and publication of statistics relating to capital spending (non-residential building related assets and machinery and equipment) and public infrastructure, which are used to derive measures of stocks of fixed capital assets, useful life and capital investment intentions.
Document Types: Questionnaires, operation and planning documents, decision records, respondent relations material and correspondence, analytical articles and studies, publications, special tabulations, microdata files, statistical databases, evaluation reports, data-sharing agreements, discretionary disclosure orders, contracts and memoranda of understanding.
Record Number: StatCan SCT 470

Digital Economy Statistics
Description: Includes records related to the collection, analysis and dissemination of statistics on broadcasting, telecommunications, the digital economy, Internet use and cybersecurity in either the public or private sectors in Canada.
Document Types: Questionnaires, administrative records, reporting guides, operation and planning documents, decision records, interviewer manuals, respondent relations material and correspondence, analytical articles and studies, publications, special tabulations, microdata files, statistical databases, evaluation reports, data-sharing agreements, discretionary disclosure orders, contracts and memoranda of understanding.
Record Number: StatCan BST 432

Economic and Environmental Analysis
Description: Includes records relating to the analysis and interpretation of economic and environmental data.
Document Types: Operation and planning documents, decision records, analytical articles and studies, publications, special tabulations, microdata files, statistical databases, evaluation reports, contracts and memoranda of understanding.
Record Number: StatCan SES 298

Energy Statistics
Description: Includes records on the collection, analysis and dissemination of national and provincial statistics on the energy sector. Statistics on the financial, industrial, operational and location characteristics of this sector are obtained through a series of annual and monthly surveys of businesses operating in Canada, and from administrative sources.
Document Types: Questionnaires, administrative records, reporting guides, operation and planning documents, decision records, respondent relations material and correspondence, analytical articles and studies, publications, special tabulations, microdata files, statistical databases, evaluation reports, data-sharing agreements, discretionary disclosure orders, contracts and memoranda of understanding.
Record Number: StatCan MED 310

Environment Accounts and Statistics
Description: Includes records related to the collection of statistics used for the analysis of relationships between human activity and the environment in Canada. The primary outputs for this program are time series estimates of various components of Canada's environmental wealth (water, ecosystems, sub-soil minerals), physical flows including water and energy use, and greenhouse gas emissions. Estimates on environmental protection expenditures, revenues from environmental goods and services, and household behaviours affecting the environment are also produced.
Document Types: Questionnaires, administrative records, reporting guides, operation and planning documents, decision records, respondent relations material and correspondence, analytical articles and studies, publications, special tabulations, microdata files, statistical databases, evaluation reports, data-sharing agreements, discretionary disclosure orders, contracts and memoranda of understanding.
Record Number: StatCan ESP 291

Industrial Organization and Finance Statistics
Description: Includes records on the collection, analysis and dissemination of the size, financial structure and ownership characteristics of the corporate sector in Canada. Also includes records related to collection and analysis of data reported under the Corporations Returns Act, and tax records from Canada Revenue Agency.
Document Types: Questionnaires, operation and planning documents, decision records, respondent relations material and correspondence, analytical articles and studies, publications, special tabulations, microdata files, statistical databases, evaluation reports, data-sharing agreements, discretionary disclosure orders, contracts and memoranda of understanding.
Record Number: StatCan IOF 435

Industry Accounts
Description: Includes records related to the production of measures of the Gross Domestic Product (GDP) by industry for Canada, the provinces and territories and records related to the production of annual provincial and territorial supply, use and input-output tables and structural macroeconomic models of the Canadian and provincial economies.
Document Types: Administrative records, operation and planning documents, decision records, analytical articles and studies, publications, special tabulations, microdata files, statistical databases, evaluation reports, contracts and memoranda of understanding.
Record Number: StatCan IMA 240

Integrated Business Statistics Program
Description: Records related to the management of Statistics Canada business surveys and data collection from large businesses through the Enterprise Portfolio Manager Program.
Document Types: Questionnaires, administrative records, reporting guides, operation and planning documents, decision records, respondent relations material and correspondence, statistical databases, evaluation reports, contracts and memoranda of understanding.
Record Number: StatCan UES 307

International Accounts
Description: Includes records related to the collection and processing of statistics on economic transactions between both Canadian residents and the rest of the world (the balance of international payments and related products) and on Canada's assets and liabilities with the rest of the world (the international investment position and related products).
Document Types: Questionnaires, administrative records, reporting guides, operation and planning documents, decision records, respondent relations material and correspondence, analytical articles and studies, publications, special tabulations, microdata files, statistical databases, evaluation reports, data-sharing agreements, contracts and memoranda of understanding.
Record Number: StatCan IFE 260

International Trade Statistics
Description: Includes records on the compilation, analysis and dissemination of Canada's merchandise export and import statistics and related price and volume indices (Customs and Balance of Payments basis). These are administrative data drawn from trade documents filed with the Canadian and American custom agencies.
Document Types: Administrative records, operation and planning documents, decision records, analytical articles and studies, publications, special tabulations, microdata files, statistical databases, evaluation reports, contracts and memoranda of understanding.
Record Number: StatCan INT 410

Investment Statistics
Description: Includes records on the collection, analysis and publication of statistics relating to investment activities, which are used to derive measures of stocks of fixed capital assets.
Document Types: Questionnaires, operation and planning documents, decision records, respondent relations material and correspondence, analytical articles and studies, publications, special tabulations, microdata files, statistical databases, evaluation reports, data-sharing agreements, discretionary disclosure orders, contracts and memoranda of understanding.
Record Number: StatCan SCT 470

Manufacturing Statistics
Description: Includes records on the collection, analysis and dissemination of national and provincial statistics on the manufacturing and forestry sectors. Statistics on the financial, industrial, operational and location characteristics of these sectors are obtained through a series of annual and monthly surveys of Canadian businesses and from administrative sources.
Document Types: Questionnaires, administrative records, reporting guides, operation and planning documents, decision records, respondent relations material and correspondence, analytical articles and studies, publications, special tabulations, microdata files, statistical databases, evaluation reports, data-sharing agreements, discretionary disclosure orders, contracts and memoranda of understanding.
Record Number: StatCan MWT 380

Mining and Quarrying Statistics
Description: Includes records on the collection, analysis and dissemination of national and provincial statistics on the mining and quarrying sector. Statistics on the financial, industrial, operational and location characteristics of this sector are obtained through a series of annual and monthly surveys of Canadian businesses and from administrative sources.
Document Types: Questionnaires, administrative records, reporting guides, operation and planning documents, decision records, respondent relations material and correspondence, analytical articles and studies, publications, special tabulations, microdata files, statistical databases, evaluation reports, data-sharing agreements, discretionary disclosure orders, contracts and memoranda of understanding.
Record Number: StatCan MWT 385

National Economic Accounts
Description: Includes records related to the production of national and provincial time series estimates of final expenditures (consumer spending, government spending, business investment, exports and imports) and income (wages, surplus, interest, rents, etc.). Records also relate to key economic processes of production, income generation, productivity, capacity utilization, labour, consumption, capital formation, financial transactions and wealth (saving, net lending and wealth), debt service ratio and the conceptual and statistical integration of statistics within the Canadian System of Macroeconomic Accounts.
Document Types: Administrative records, operation and planning documents, decision records, analytical articles and studies, publications, special tabulations, microdata files, statistical databases, evaluation reports, discretionary disclosure orders, contracts and memoranda of understanding.
Record Number: StatCan NAD 235

Prices Statistics
Description: Includes records on the collection and analysis of consumer and industrial products prices, raw materials prices, farm input prices and construction price indexes, as well as a number of indexes relating to capital expenditures and services. These price indexes are required for numerous acts and the adjustment of income tax basic deductions and benefits.
Document Types: Questionnaires, administrative records, operation and planning documents, decision records, interviewer manuals, respondent relations material and correspondence, analytical articles and studies, publications, special tabulations, microdata files, statistical databases, evaluation reports, contracts and memoranda of understanding.
Record Number: StatCan PRI 415

Public Sector Statistics
Description: Includes records related to the production of financial statistics for the Canadian public sector (revenues, expenditures, assets, liabilities and debt statistics for the federal, provincial and municipal levels of government and government business enterprises).
Document Types: Questionnaires, administrative records, reporting guides, operation and planning documents, decision records, respondent relations material and correspondence, analytical articles and studies, publications, special tabulations, microdata files, statistical databases, evaluation reports, data-sharing agreements, discretionary disclosure orders, contracts and memoranda of understanding.
Record Number: StatCan PUI 220

Retail Trade Statistics
Description: Includes records on the collection, analysis and dissemination of statistics on retail trade and new motor vehicle sales that are obtained through a series of annual and monthly surveys of Canadian businesses and from administrative sources.
Document Types: Questionnaires, administrative records, reporting guides, operation and planning documents, decision records, respondent relations material and correspondence, analytical articles and studies, publications, special tabulations, microdata files, statistical databases, evaluation reports, data-sharing agreements, discretionary disclosure orders, contracts and memoranda of understanding.
Record Number: StatCan RTS 420

Science, Technology and Innovation Statistics
Description: Includes records related to the collection, analysis and dissemination of statistics on science, research and development, technology and innovation, used in the public and private sectors in Canada.
Document Types: Questionnaires, administrative records, reporting guides, operation and planning documents, decision records, interviewer manuals, respondent relations material and correspondence, analytical articles and studies, publications, special tabulations, microdata files, statistical databases, evaluation reports, data-sharing agreements, discretionary disclosure orders, contracts and memoranda of understanding.
Record Number: StatCan BST 431

Service Industries Statistics
Description: Includes records on the collection, analysis and dissemination of statistics on service industries by means of annual and monthly surveys. The range of services covered includes accounting, real estate, publishing and food and accommodation services, to name just a few.
Document Types: Questionnaires, administrative records, reporting guides, operation and planning documents, decision records, respondent relations material and correspondence, analytical articles and studies, publications, special tabulations, microdata files, statistical databases, evaluation reports, data-sharing agreements, discretionary disclosure orders, contracts and memoranda of understanding.
Record Number: StatCan SER 425

Small Business Statistics and Entrepreneurship Indicators
Description: Includes records related to the collection, analysis and dissemination of statistics on small businesses and entrepreneurship indicators in Canada. The information is gathered through special surveys of businesses, data linkage of micro records or data integration of existing data.
Document Types: Questionnaires, administrative records, reporting guides, operation and planning documents, decision records, interviewer manuals, respondent relations material and correspondence, analytical articles and studies, publications, special tabulations, microdata files, statistical databases, evaluation reports, data-sharing agreements, discretionary disclosure orders, contracts and memoranda of understanding.
Record Number: StatCan BST 524

Transportation Statistics
Description: Includes records related to the collection, analysis and dissemination of statistics on all modes of transport in Canada (air, marine (up to 2011), bus, for-hire and private trucking, rail, and urban transit). Statistics from the program are used by Transport Canada, the Canadian Transportation Agency, other federal government departments, provincial governments, international organizations and industry associations.
Document Types: Questionnaires, administrative records, reporting guides, operation and planning documents, decision records, interviewer manuals, respondent relations material and correspondence, analytical articles and studies, publications, special tabulations, microdata files, statistical databases, evaluation reports, data-sharing agreements, discretionary disclosure orders, contracts and memoranda of understanding.
Record Number: StatCan TRA 400

Wholesale Trade Statistics
Description: Includes records on the collection, analysis and dissemination of wholesale trade statistics that are obtained through a series of annual and monthly surveys of Canadian businesses and from administrative sources.
Document Types: Questionnaires, administrative records, reporting guides, operation and planning documents, decision records, respondent relations material and correspondence, analytical articles and studies, publications, special tabulations, microdata files, statistical databases, evaluation reports, data-sharing agreements, discretionary disclosure orders, contracts and memoranda of understanding.
Record Number: StatCan MWT 375

2) Socio-economic Statistics

Through the Socioeconomic Statistics program, Statistics Canada provides integrated information and relevant analysis on the demographic and socioeconomic characteristics of individuals, families and households, as well as on the major factors that affect their well-being. This information is used to support critical government priorities, social policy development, implementation and evaluation; to inform discussion on demographic and socioeconomic issues; and to guide evidence-based decision making. These statistics help fulfill the requirements specified by legislation or regulations in areas such as labour, immigration, official languages and employment equity.

Outputs include data derived from administrative and survey sources as well as through data integration, and inform a range of topics such as labour, income, health, education, justice, tourism, immigration, Aboriginal peoples, diversity and inclusion, population dynamics and social well-being. The information is used extensively by provincial and territorial governments, by non-governmental organizations, and by federal departments and agencies. The program also provides information, analysis and measures on publicly funded facilities, agencies and systems designed to meet the socioeconomic and physical needs of Canadians; and on the outcomes of the services they provide, such as justice, health and education.

Education Statistics
Description: Includes records related to the collection, analysis and dissemination of statistics on education. The Centre for Education Statistics manages a comprehensive program of pan-Canadian education statistics and analysis at the elementary, secondary and postsecondary levels as well as from a number of household surveys.
Document Types: Questionnaires, administrative records, operation and planning documents, decision records, interviewer manuals, respondent relations material and correspondence, analytical articles and studies, publications, special tabulations, microdata files, statistical databases, evaluation reports, data-sharing agreements, discretionary disclosure orders, contracts and letters of agreement.
Record Number: StatCan ECT 170

Postsecondary Education and Graduate Surveys
Description: This bank describes information that relates to individuals who participate in postsecondary education and graduate surveys conducted by Statistics Canada. The personal information may include the following categories of information: contact, biographical, citizenship, educational, financial, and work history. Other information may include: name, year of birth and gender.
Note: In addition to the requirements specified on the Personal Information Request form, individuals requesting information described by this bank must provide the name of the survey, the year in which it was conducted and address at the time of the survey.
Class of Individuals: Individuals who attend or attended a postsecondary education institution located in Canada in a given school year.
Purpose: The aggregate information is used for socio-economic statistical research of postsecondary education and subsequent workforce trends. Personal information is collected pursuant to the Statistics Act (Sections 3, 7, 8).
Consistent Uses: With consent, information without names or other direct personal identifiers may be shared with Employment and Social Development Canada as permitted under the provisions of Section 12 of the Statistics Act, for statistical and research purposes.
Retention and Disposal Standards: Information is retained until it is no longer required for statistical purposes and then it is destroyed.

RDA Number: 2007/001
Related Record Number: StatCan ECT 170
TBS Registration: 20091598
Bank Number: StatCan PPU 807

Post-Secondary Education Savings, Grants and Loans
Description: This bank describes information that is obtained from Employment and Social Development Canada (ESDC PPU 506 and ESDC PPU 030) on program data related to recipients of student loans and grants for post-secondary education as well as savings for post-secondary education. More specifically, the programs covered are the Canada Student Loans Program, the Canada Education Savings Program, the Canada Apprentice Loan, and the Apprenticeship Grant Program. Personal information may include full name, Social Insurance Number, date of birth, gender, program identifier, and postal code.
Class of Individuals: Persons applying for and/or receiving loans and grants for their post-secondary studies, including apprentices, as well as beneficiaries of registered education savings plans and the persons contributing to these plans.
Purpose: The personal information is used to produce statistical data on programs assisting Canadians to undertake post-secondary studies. It is also used to examine the impact of student loans, grants and savings programs on students' ability to access, persist and graduate from post-secondary education and transition to the labour force. The resulting analysis is essential to the development and evaluation of policies related post-secondary education by Employment and Social Development Canada (ESDC). Personal information, including the Social Insurance Number, is collected pursuant to the Statistics Act (Sections 3, 7, 13).
Consistent Uses: Subject to Statistics Canada's Directive on Microdata Linkage, program information on Post-Secondary Education Savings, Grants and Loans may be combined with surveys or other administrative data sources described in this chapter for approved statistical purposes, including but not limited to the T1 Family File (StatCan PPU 111), Postsecondary Student Information System (StatCan PPU 090), and Registered Apprenticeship Information System (StatCan PPU 083).
Retention and Disposal Standards: Information is retained until it is no longer required for statistical purposes and then it is destroyed.

RDA Number: 2007/001
Related Record Number: StatCan ECT 170
TBS Registration: 20180003
Bank Number: PPU 144

Postsecondary Student Information System
Description: This bank describes information obtained from the administrative files of Canadian universities and other postsecondary institutions (e.g., community colleges, CEGEPs). It includes demographic data and information relating to the individual's activities as a student, such as qualification sought, discipline of specialization, and status in the program. Personal information in this databank may also include student identifier number, Social Insurance Number (SIN), name, contact information, and socio-demographic information such as date of birth, citizenship and gender.
Note: In addition to the requirements specified on the Personal Information Request form, individuals requesting information described by this bank must provide the name of the institution, the number assigned to the individual by the institution and the year(s) the individual studied at the institution. Requests for personal information will be forwarded to the institution that originally provided the information.
Class of Individuals: Full-time and part-time students in Canadian, public, postsecondary institutions.
Purpose: The personal information is used to produce statistical information on students by province, type of institution, program and sex. Personal information, including the Social Insurance Number, is collected pursuant to the Statistics Act (Sections 3, 7, 13) for statistical purposes.
Consistent Uses: To reduce respondent burden and enhance survey data, Statistics Canada may combine information from education-related administrative data files with other administrative data records, and with survey responses, including but not limited to the Registered Apprenticeship Information System (StatCan PPU 083), the T1 Family File (StatCan PPU 111) and the Longitudinal Immigration Database (StatCan PPU 135).

RDA Number: 2007/001
Related Record Number: StatCan ECT 170
TBS Registration: 001855
Bank Number: StatCan PPU 090

Registered Apprenticeship Information System
Description: This bank describes information that is obtained from provincial and territorial departments responsible for apprenticeship training on the number of apprentices registered and the number of certificates given by trade in each jurisdiction. The records are identified by the registered apprenticeship number assigned by the province/territory and include the date of birth, gender and the trade in which the person is registered. Personal information in this databank may also include previous educational activity, Social Insurance Number (SIN), name, contact information, and socio-demographic information, such as aboriginal identity and disability or activity limitations.
Class of Individuals: Persons taking apprenticeship training in a trade and registered with the province or territory or persons who have worked in a specific trade for a number of years, without necessarily having ever been an apprentice, and have chosen to write the required skills assessment examination in their trade.
Purpose: The personal information is used to produce statistical information on apprenticeship programs in Canada. Personal information, including the Social Insurance Number, is collected pursuant to the Statistics Act (Sections 3, 7, 13) for statistical purposes.
Consistent Uses: To reduce response burden and enhance survey data, Statistics Canada may combine information from education-related administrative data files with other administrative data records, and with survey responses, including but not limited to the Postsecondary Student Information System (StatCan PPU 090), the T1 Family File (StatCan PPU 111) and the Longitudinal Immigration Database (StatCan PPU 135).
Retention and Disposal Standards: Information is retained until it is no longer required for statistical purposes and then it is destroyed.

RDA Number: 2007/001
Related Record Number: StatCan ECT 170
TBS Registration: 005069
Bank Number: StatCan PPU 083

Teacher Information Databases
Description: This bank describes administrative information that relates to individuals who are, or were teachers, in elementary, secondary and postsecondary education institutions in Canada. The personal information may include the following categories of personal information: biographical, educational, and employment. In addition, other personal information may include: employment contact information, salary and citizenship status.
Note: In addition to the requirements specified on the Personal Information Request form, individuals requesting information described by this bank must provide their unique number assigned by the institution, the name of the institution and the time period during which they taught at the institution.
Class of Individuals: Current or former teachers at educational institutions located in Canada.
Purpose: Aggregate information is used for statistical analysis of teachers in Canada. Personal information is collected pursuant to the Statistics Act (Sections 3, 13).
Consistent Uses: None.
Retention and Disposal Standards: Information is retained until it is no longer required for statistical purposes and then it is destroyed.

RDA Number: 2007/001
Related Record Number: StatCan ECT 170
TBS Registration: 20091599
Bank Number: StatCan PPU 808

Health Statistics
Description: Includes records related to the collection, analysis and dissemination of statistical information on health of Canadians by means of health surveys and administrative files. Also includes records on the management of the analytical research program that uses health data.
Document Types: Questionnaires, administrative records, operation and planning documents, decision records, interviewer manuals, respondent relations material and correspondence, analytical articles and studies, publications, special tabulations, microdata files, statistical databases, evaluation reports, data-sharing agreements, discretionary disclosure orders, contracts and memoranda of understanding.
Record Number: StatCan HLT 080

Canadian Cancer Registry
Description: This bank describes information that is provided annually by the ten provincial cancer registries and health authorities responsible for cancer registration in the Yukon, Nunavut and Northwest Territories. The information relates to each newly diagnosed case of primary cancer and includes the name of the person with cancer, socio-demographic characteristics of the person, and diagnostic information.
Class of Individuals: All individuals diagnosed as having primary cancer as reported to provincial cancer registries and territorial health authorities.
Purpose: The personal information is used to produce person-oriented data on the incidence of new cases for primary sites of cancer reported to provincial and territorial cancer registries by site of tumour, age, sex and method of diagnosis. These data provide a large base of information for the study of variations in cancer incidence by personal characteristics and geographic region and allow the monitoring of trends in cancer incidence over time. Personal information is collected pursuant to the Statistics Act (Sections 3, 13).
Consistent Uses: The information is used as one of the input files in long-term medical follow-up studies. It supplies cancer-related information on individuals in particular study groups. With the authorization of the cancer registries, information without names or other identifying information may be disclosed to outside organizations, such as Health Canada and the Public Health Agency of Canada, as permitted under the provisions of Section 17(2) of the Statistics Act, for statistical and research purposes. Identifiable cancer data may also be disclosed to the provincial and territorial cancer registries as part of an exchange of cancer incidence records, as permitted by the Statistics Act.
Retention and Disposal Standards: Information is retained until it is no longer required for statistical purposes and then it is destroyed.

RDA Number: 2007/001
Related Record Number: StatCan HLT 080
TBS Registration: 001850
Bank Number: StatCan PPU 065

Canadian Coroner and Medical Examiner Information
Description: This bank describes information that is related to deaths investigated by coroners and medical examiners in each province and territory. Personal information of the deceased may include name, age, gender, address, date of birth, place/address of death and cause of death. In some cases, there may be a narrative on the circumstances surrounding the death which may contain additional personal information about the individual and other individuals.
Class of Individuals: Individuals whose death was investigated by a coroner or medical examiner in Canada and, in some cases, other individuals such as police and witnesses who were involved in the circumstances surrounding the death.
Purpose: The personal information is used in the production of national statistics on deaths investigated by coroners and medical examiners, with a particular focus on deaths resulting from accidents (unintentional injuries), suicides, homicides, and deaths of undetermined cause. Personal information is collected pursuant to the Statistics Act (Sections 3, 13).
Consistent Uses: With the authorization of the chief coroners and medical examiners, these data are used to produce an annual analysis file without names and other direct personal identifiers that will be disclosed to the Public Health Agency of Canada and to all provincial and territorial chief coroners/chief medical examiners, as permitted under the provisions of Section 17(2) of the Statistics Act, for statistical and research purposes.
Retention and Disposal Standards: Information is retained until it is no longer required for statistical purposes and then it is destroyed.

RDA Number: 2007/001
Related Record Number: StatCan HLT 080
TBS Registration: 20100116
Bank Number: StatCan PPU 809

Health Research
Description: This bank describes information from a number of health files that are used for statistical research. Among the files under the control of Statistics Canada are the Canadian Cancer Registry, the Canadian Mortality Database, the Canadian Birth Database and provincial and territorial health records. Other sources of information are from respondents to health surveys conducted by Statistics Canada and files provided by researchers outside of Statistics Canada for specific targeted research studies. Personal information may include name, place of birth and death and the following categories of information: biographical, citizenship status, educational, language, medical, and provincial health card number.
Note: In addition to the requirements specified on the Personal Information Request form, individuals who participated in a health survey and are requesting information described by this bank must provide the name of the survey in which they participated, the year in which the survey was conducted and their address at that time.
Class of Individuals: General public.
Purpose: The personal information is used for health research with a broad objective of addressing various health-related issues and to improve the health of Canadians and the delivery of health services to them. Personal information is collected pursuant to the Statistics Act (Sections 3, 7, 8, 13).
Consistent Uses: The studies usually involve data-matching of the above databases to meet the objectives of these studies. Information without names or other identifying information may be shared with outside organizations such as Health Canada and university researchers as permitted under the provisions of Sections 12 and 17(2) of the Statistics Act, for statistical and research purposes.
Retention and Disposal Standards: Information is retained until it is no longer required for statistical purposes and then it is destroyed.

RDA Number: 2007/001
Related Record Number: StatCan HLT 080
TBS Registration: 001860
Bank Number: StatCan PPU 076

Health Surveys
Description: This bank describes personal information that is related to participants of health surveys conducted by Statistics Canada. The personal information may include the following: name, contact, biographical, biometric, citizenship status, education, employment, financial, language, health and medical information (from blood, urine and hair samples), pregnancy, breastfeeding, sleep habits, sexual behaviour, nutrition, alcohol and e-cigarette/cigarette use, medication/drug use, physical attributes, physical activity, neighbourhood environment, place of birth, and provincial health card number.
Note: In addition to the requirements specified on the Personal Information Request form, individuals requesting information described by this bank must provide the name of the survey in which they participated, the year in which the survey was conducted and their address at that time.
Class of Individuals: General public.
Purpose: The personal information collected from these surveys, in aggregate form, is used for statistical analysis of current health trends and improving the health of Canadians through ongoing research at all levels of government. Personal information is collected pursuant to the Statistics Act (Sections 3, 4, 7, 8).
Consistent Uses: With consent, information provided by respondents may be shared with the Public Health Agency of Canada and Health Canada (without names or other direct personal identifiers), and with provincial ministries of health as permitted under the provisions of Section 12 of the Statistics Act, for statistical and research purposes. In addition, information (including provincial health card number) is data-matched with provincial health data for analytical purposes.
Retention and Disposal Standards: Information is retained until it is no longer required for statistical purposes and then it is destroyed.

RDA Number: 2007/001
Related Record Number: StatCan HLT 080
TBS Registration: 20091597
Bank Number: StatCan PPU 806

Hospital Morbidity
Description: This bank describes information that is obtained from hospitals in Canada on patients who have separated (discharges and deaths). The files are identified by a number assigned by the hospital and contain demographic and medical information on the patient such as age, sex, diagnosis, surgical operations, length of stay, condition of discharge, residence of the patient.
Note: As of the 1994/1995 data year, responsibility for the database was transferred to the Canadian Institute for Health Information (CIHI).
Class of Individuals: Hospital inpatients in Canada.
Purpose: The personal information is used to produce national hospital morbidity statistics, including number of patients separated from hospitals, average length of stay and causes of hospitalization. Personal information is collected pursuant to the Statistics Act (Sections 3, 13).
Consistent Uses: None.
Retention and Disposal Standards: Information is retained until it is no longer required for statistical purposes and then it is destroyed.

RDA Number: 2007/001
Related Record Number: StatCan HLT 080
TBS Registration: 001848
Bank Number: StatCan PPU 055

Registered Nurses Database
Description: This bank describes information that is obtained from provincial nurses' associations on registered nurses licensed to practice in Canada. The information includes socio-economic and demographic data, nursing education, year and location of graduation, activity status, type of employer, position and numerically coded location of residence and employment. The files are identified by a provincial registration number.
Class of Individuals: Registered nurses licensed to practice in Canada.
Purpose: The personal information is used to produce statistical data on nursing manpower to be used by planning groups and other users for analysis and special studies. Personal information is collected pursuant to the Statistics Act (Sections 3, 13).
Consistent Uses: None.
Retention and Disposal Standards: Information is retained until it is no longer required for statistical purposes and then it is destroyed.

RDA Number: 2007/001
Related Record Number: StatCan HLT 080
TBS Registration: 001847
Bank Number: StatCan PPU 050

Vital Statistics
Description: This bank describes information that is related to the registration of births, marriages (until 2008), deaths and stillbirths by registrars of vital statistics in each province and territory. Personal information may include name, place of residence, date of birth, place of birth, place of death, place of marriage, and cause of death.
Class of Individuals: Individuals who were born in Canada or were Canadian residents giving birth in the United States; individuals who married in Canada and their spouses, individuals who died in Canada or Canadian residents who died in the United States.
Purpose: The personal information is used in the production of national statistics on births, marriages and deaths for Canada, the provinces and territories. Personal information is collected pursuant to the Statistics Act (Sections 3, 13).
Consistent Uses: The information is also used in special studies relating to mortality, fertility and life expectancy, for population estimates and in research around methods for the Census of Population Program. With the authorization of the registrars, information without names or other identifying information may be shared with outside organizations, such as Health Canada and the Public Health Agency of Canada, as permitted under the provisions of Section 17(2) of the Statistics Act, for statistical and research purposes.
Retention and Disposal Standards: Information is retained until it is no longer required for statistical purposes and then it is destroyed.

RDA Number: 2007/001
Related Record Number: StatCan HLT 080
TBS Registration: 001844
Bank Number: StatCan PPU 035

Income Statistics
Description: Includes records related to the collection, analysis and dissemination of statistics that provide a picture of the financial well-being of Canadian families and individuals, including income, expenditures, wealth , pensions and housing. Information on low-income trends, income inequality, shelter costs and the health of pension funds is drawn from these statistics.
Document Types: Questionnaires, administrative records, operation and planning documents, decision records, interviewer manuals, respondent relations material and correspondence, analytical articles and studies, publications, special tabulations, microdata files, statistical databases, evaluation reports.
Record Number: StatCan HLD 038

Canada Disability Savings Program
Description: This bank describes personal information concerning individuals who are beneficiaries and holders of a Registered Disability Savings Plan (RDSP) obtained from Employment and Social Development Canada (PPU ESDC 038). RDSPs help Canadians with severe and prolonged disabilities and their families save for the future. Personal information for the beneficiary of an RDSP may include: date of birth, gender, Social Insurance Number, language preference, contributions, grant and bond payments, signature date, and RDSP contract number. Personal information for the holder of an RDSP may include: year of birth, relationship to beneficiary, Social Insurance Number, and RDSP contract number.
Class of Individuals: Beneficiaries of an RDSP; parents, legal guardians or qualified family members of a beneficiary; a representative of an agency; departments or institutions acting as legal representatives of beneficiaries; and holders of RDSPs or individuals who have received the Canada Child Tax Credit for beneficiaries under the age of 18 or are currently receiving the Canada Child Benefit for beneficiaries under the age of 18.
Purpose: The personal information is used for socio-economic statistical research on the reliance and impact of RDSPs on financial outcomes of persons with disabilities and to produce statistical data on the profiles of persons with disabilities who contribute to RDSPs. Personal information, including the Social Insurance Number, is collected pursuant to the Statistics Act (Sections 3 and 13).
Consistent Uses: Subject to Statistics Canada's Directive on Microdata Linkage, information from the Canada Disability Savings program may be combined with surveys or other administrative data sources described in this chapter for approved statistical purposes, including but not limited to the Canadian Survey on Disability (Special Surveys StatCan PPU 016).
Retention and Disposal Standards: Information is retained until it is no longer required for statistical purposes and then it is destroyed.

RDA Number: 2007/001
Related Record Number: StatCan HLD 038
TBS Registration: 20180032
Bank Number: StatCan PPU 159

Income Support Data
Description: This bank describes information about individuals receiving income support from provincial and territorial governments. Personal information may include name, address, telephone number, Social Insurance Number, immigrant status, employment status, occupation codes, earnings, government transfers received, support payments from former spouses, assets, benefits paid, client file status, date of birth and gender of individuals and their spouse.
Class of Individuals: Individuals living in Canadian provinces or territories who received income support payments from reporting year 2012 and onwards.
Purpose: The personal information will be used to evaluate the feasibility of developing a new harmonized national data series for statistical analysis and research. Personal information, including the Social Insurance Number, is collected pursuant to the Statistics Act (Sections 3, 13, 22) for statistical purposes.
Consistent Uses: The income support data may be combined with surveys or other administrative databases described in this chapter for approved statistical purposes, such as the T1 Family File (StatCan PPU 111). Linkages will also serve to validate the data and produce quality reports. The quality reports will not contain any confidential data.
Retention and Disposal Standards: Information is retained until it is no longer required for statistical purposes and then it is destroyed.

RDA Number: 2007/001
Related Record Number: StatCan HLD 038
TBS Registration: 20170143
Bank Number: StatCan PPU 165

Pension Programs
Description: This bank describes personal information that is related to the administration of the Canada Pension Plan (CPP) and the Old Age Security (OAS) programs obtained from Employment and Social Development Canada, specifically from the Old Age Security Program (ESDC PPU 116) and the Canada Pension Plan Program (ESDC PPU 146) files. The CPP provides contributors and their families with partial replacement of earnings in the case of retirement, disability or death. The OAS program provides a monthly payment to senior citizens aged 65 and older who meet the Canadian legal status and residence requirements of the program. Personal information for the contributor or beneficiary of these public pension programs may include: date of birth, date of death, gender, Social Insurance Number, marital status, historical profile of earnings and contributions, and benefits received.
Class of Individuals: Contributors and beneficiaries of the CPP and beneficiaries of the OAS program.
Purpose: The personal information may be used for socio-economic statistical research on topics such as financial security, earnings dynamics, and retirement decisions. It may also be used to produce statistical data on the profiles of individuals who contribute to the CPP program or are beneficiaries of the CPP or OAS programs. Personal information, including the Social Insurance Number, is collected pursuant to the Statistics Act (Sections 3, 13, 22).
Consistent Uses: Subject to Statistics Canada's Directive on Microdata Linkage, information on public pension programs may be combined with surveys or other administrative data sources described in this chapter for approved statistical purposes.
Retention and Disposal Standards: Information is retained until it is no longer required for statistical purposes and then it is destroyed.

RDA Number: 2007/001
Related Record Number: StatCan HLD 038
TBS Registration: 20180017
Bank Number: StatCan PPU 158

Survey of Financial Security
Description: This bank describes information on assets and debts collected from a sample of Canadian households through the Survey of Financial Security. Personal information may include the following categories of information: contact, biographical, family, educational, financial, and employment. Other information may include: name, year of birth, sex, marital status, and other demographics such as level of education, language, immigration, and Aboriginal status.
Class of Individuals: Persons in private households residing in the provinces.
Purpose: The personal information is used to provide a comprehensive picture of the net worth of Canadians. Information is collected on the value of all major financial and non-financial assets and on the money owing on mortgages, vehicles, credit cards, student loans and other debts. Personal information is collected pursuant to the Statistics Act (Sections 3, 7, 8).
Consistent Uses: For recent cycles of the Survey of Financial Security, data are linked to income tax data files (StatCan PPU 111) in order to obtain personal and household income, and to reduce burden on respondents. Data may also be combined with other Statistics Canada databases, such as Pension Plans in Canada to value registered pension plan assets.
Retention and Disposal Standards: Information is retained until it is no longer required for statistical purposes and then it is destroyed.

RDA Number: 2007/001
Related Record Number: StatCan HLD 038
TBS Registration: 004252
Bank Number: StatCan PPU 151

Justice Statistics
Description: Includes records related to the compilation, analysis and dissemination of statistics on criminal and civil justice in Canada by means of various crime-related surveys and administrative data. Also includes records related to statistics on victimization and related support services.
Document Types: Questionnaires, administrative records, reporting guides, operation and planning documents, decision records, respondent relations material and correspondence, analytical articles and studies, publications, special tabulations, microdata files, statistical databases, evaluation reports, discretionary disclosure orders, contracts and memoranda of understanding.
Record Number: StatCan CCJ 135

Crime Statistics
Description: This bank describes information that is obtained from police services on characteristics of criminal incidents, victims, and accused persons. Specifically, this bank includes the name, date of birth, sex, fingerprint ID number, and address of both victims and accused persons.
Class of Individuals: Individuals who are victims of crimes and individuals who are accused of committing a crime.
Purpose: The personal information is used to produce statistical information relating to the nature and extent of crime in Canada and to describe the circumstances of crime incidents as well as the characteristics of victims and accused persons. Personal information is collected pursuant to the Statistics Act (Sections 3, 7, 13).
Consistent Uses: The information is often used in record linkage projects with other justice datasets carried out by Statistics Canada's Canadian Centre for Justice Statistics (CCJS), including Homicide Statistics (StatCan PPU 025) and may also be combined with other Statistics Canada databases. These projects are completed on an ad hoc basis. Further, with the authorization of police services, the data may be provided to provincial and territorial ministries of justice, for statistical and research purposes, as permitted under the provisions of Subsection 17(2) of the Statistics Act.
Retention and Disposal Standards: Information is retained until it is no longer required for statistical purposes and then it is destroyed.

RDA Number: 2007/001
Related Record Number: StatCan CCJ 135
TBS Registration: 20160030
Bank Number: StatCan PPU 029

Homicide Statistics
Description: This bank describes information that is obtained from police services on characteristics of homicide incidents, victims and accused persons. Detailed information includes the methods used to commit homicide (including firearm-related homicides), the accused-victim relationship (including spousal and other family-related homicides), gang and drug-related homicides and youth homicides. Personal information may include names, dates of birth, sex, and Aboriginal origin of victims and accused persons, as well as the Fingerprint Section ID Number (FPS) of accused persons.
Class of Individuals: Individuals who are victims of homicides and individuals who are accused of committing a homicide.
Purpose: The personal information is used to produce statistical information relating to the nature and extent of homicide in Canada and to describe the circumstances of homicide incidents as well as the characteristics of victims and accused persons. Personal information is collected pursuant to the Statistics Act (Sections 3, 7, 13).
Consistent Uses: The information may be used in record linkage projects with other justice datasets carried out by Statistics Canada's Canadian Centre for Justice Statistics (CCJS), including Integrated Criminal Court Survey (ICCS) Statistics (StatCan PPU 027) and Crime Statistics (StatCan PPU 029), and may also be combined with other Statistics Canada databases. These projects are completed on an ad hoc basis. Further, with the authorization of the police services, information may be disclosed to the Royal Canadian Mounted Police (one-time only – RCMP PPU 005) and to provincial and territorial ministries of justice, for statistical and research purposes, as permitted under the provisions of Subsection 17(2) of the Statistics Act.
Retention and Disposal Standards: Information is retained until it is no longer required for statistical purposes and then it is destroyed.

RDA Number: 2007/001
Related Record Number: StatCan CCJ 135
TBS Registration: 001861
Bank Number: StatCan PPU 025

Integrated Criminal Court Survey (ICCS) Statistics
Description: This bank describes information relating to youth and adults who were charged with an offence and appeared in youth court or adult criminal court. Data are reported according to detailed offence information (statute, section, subsection, paragraph and subparagraph) of the criminal code or other federal statutes. This bank includes the name, date of birth, sex, fingerprint ID number, driver's license number and postal code of the accused; case decisions; sentencing information regarding the length of custody and probation, and amount of fine.
Class of Individuals: Youth and adults who have been charged with an offence and appeared in court. The adult component includes persons aged 18 years or older at the time of the offence. The youth component includes persons aged 12 to 17 years old at the time of the offence.
Purpose: The personal information is used to develop and maintain a national database of statistical information on charges, appearances, and cases in youth courts and adult criminal courts. The data are used to respond to the needs of the provincial, territorial and federal departments of justice and attorneys-general, researchers and policy analysts, academics and the media, as well as to inform the public on how youths and adults appearing in provincial-territorial and superior criminal courts are dealt with in Canada. Personal information is collected pursuant to the Statistics Act (Sections 3, 7, 13, 26).
Consistent Uses: The information may be used in record linkage projects with other justice datasets carried out by Statistics Canada's Canadian Centre for Justice Statistics (CCJS), including Homicide Statistics (StatCan PPU 025), and may also be combined with other Statistics Canada databases. These projects are completed on an ad hoc basis.
Retention and Disposal Standards: Information is retained until it is no longer required for statistical purposes and then it is destroyed.

RDA Number: 2007/001
Related Record Number: StatCan CCJ 135
TBS Registration: 20160028
Bank Number: StatCan PPU 027

Justice Research
Description: This bank describes information from a number of justice-related files that contain personal identifiers and are used in statistical and analytical research. Sources of information may include selected databases from federal, provincial and municipal government bodies that are mandated to collect data pertaining to the justice system, which are submitted to Statistics Canada for specific research studies. Personal information (where available) may include name, date of birth, address and the following categories of information: biographical, citizenship status, educational, language and government issued identification.
Class of Individuals: Individuals having contact with the justice system (e.g., police services, criminal and civil courts, correctional services).
Purpose: The personal information is used for justice research with a broad objective of addressing various justice-related issues and to improve the delivery of justice services to Canadians. Personal information is collected pursuant to the Statistics Act (Sections 3, 7, 13, 26, 27).
Consistent Uses: The research studies may involve linking the data to other Statistics Canada databases, both justice and non-justice related, such as the T1 Family File (StatCan PPU 111), Vital Statistics (StatCan PPU 035), and the Census of Population (StatCan PPU 008) in order to meet the study objectives. With the authorization of the data providers, information may be disclosed to the members of the National Justice Statistics Initiative (federal and provincial justice ministries) for statistical and research purposes, as permitted under the provisions of Subsection 17(2) of the Statistics Act.
Retention and Disposal Standards: Information is retained until it is no longer required for statistical purposes and then it is destroyed.

RDA Number: 2007/001
Related Record Number: StatCan CCJ 135
TBS Registration: 20160029
Bank Number: StatCan PPU 028

Labour Statistics
Description: Includes records related to the collection, analysis of dissemination of monthly labour market estimates from household and business surveys and administrative records. The information supports economic, social and monetary policy and is used by governments, financial institutions and researchers to better understand how work and work time are distributed, to identify groups at risk, and to monitor the impact of labour market policies and programs.
Document Types: Questionnaires, administrative records, operation and planning documents, decision records, interviewer manuals, respondent relations material and correspondence, analytical articles and studies, publications, special tabulations, microdata files, statistical databases, evaluation reports, data-sharing agreements.
Record Number: StatCan LAB 035

Employment Insurance
Description: This bank describes information, obtained from Employment and Social Development Canada (ESDC PPU 501), on persons separating from their job, as well as those applying for and receiving Employment Insurance (EI) benefits. Personal information may include the characteristics of EI beneficiaries and summary information on their EI claim, such as reason for separation, insured earnings and number of hours worked, benefits paid, incidence of disqualification and disentitlement, Social Insurance Number, age, gender, Aboriginal status, visible minority status, program identifier, employer business number, and postal code.
Class of Individuals: Persons separating from their job and those applying for and receiving EI benefits.
Purpose: The personal information is used to produce statistical data on the operation of the EI Program and to provide labour market statistics. It is also used to produce research useful to the development and evaluation of policies related to the Employment Insurance Program managed by Employment and Social Development Canada. Personal information, including the Social Insurance Number, is collected pursuant to the Statistics Act (Sections 3, 7, 13).
Consistent Uses: Subject to Statistics Canada's Directive on Microdata Linkage, program information from the Employment Insurance program may be combined with surveys or other administrative data sources described in this chapter for approved statistical purposes, including but not limited to the Registered Apprenticeship Information System (StatCan PPU 083).
Retention and Disposal Standards: Information is retained until it is no longer required for statistical purposes and then it is destroyed.

RDA Number: 2007/001
Related Record Number: StatCan LAB 035
TBS Registration: 20180016
Bank Number: StatCan PPU 017

Labour Force Survey
Description: This bank describes information collected through the Labour Force Survey, which is a monthly survey conducted on a sample of approximately 53,000 households. The records are identified by name and carry information on the family composition, activities and characteristics of individuals in the Labour Force Survey sample. The personal information includes the demographic profile of the respondent, employment profile such as name of employer, hours of work, and tenure. For those without work, information is available on work history, job search activities, and type of work sought. Data are also available on the educational pursuits of the respondent.
Note: Information relating to an individual cannot be retrieved based on name alone. The requester must provide the month(s) and year surveyed and the precise address at the time of the survey. There are also a number of special surveys that are conducted as supplements to the Labour Force Survey. To retrieve a record, the requester must provide the subject of the special survey, the year the survey was conducted, and the precise address at the time of the survey.
Class of Individuals: Individuals in private households.
Purpose: The personal information is used to produce employment and unemployment figures. The data also enable a wide variety of additional information to be derived on the characteristics of the Canadian labour force and on the population age 15 and over. Personal information is collected pursuant to the Statistics Act (Sections 3, 7).
Consistent Uses: None.
Retention and Disposal Standards: Information is retained until it is no longer required for statistical purposes and then it is destroyed.

RDA Number: 2007/001
Related Record Number: StatCan LAB 035
TBS Registration: 001841
Bank Number: StatCan PPU 015

Population Estimates
Description: Includes records related to the production of post-censal and inter-censal population estimates. Population estimates are produced at various geographic levels: Canada, province and territory, and census division, census metropolitan area and economic region. Data also include estimates of components of population growth: births, deaths, immigration, emigration, returning emigrants, change in non-permanent residents, and interprovincial and intraprovincial migration.
Document Types: Administrative records, Operation and planning documents, decision records, analytical articles and studies, publications, special tabulations, microdata files, statistical databases, evaluation reports.
Record Number: StatCan DEM 030

Immigration – permanent and temporary residents
Description: This bank describes information that is obtained from Immigration, Refugees and Citizenship Canada (CIC PPU 068) on permanent residents (immigrants) and temporary residents (non-permanent residents). Personal information includes unique client identifier, name, sex, date of birth and address, as well as data on: Permanent residents (Admissions / landed immigrants), Applications for permanent residency, Confirmed departures (and removals from Canada), Refugee status claimants (non-permanent residents in Canada), Work permits (non-permanent residents in Canada), Study permits (non-permanent residents in Canada), Temporary Resident permits / Minister's permits (non-permanent residents in Canada), Annual addresses (all addresses available for all permanent and temporary residents), Provincial nominees (all provincial nominees by province and other related information), Class of Individuals: Individuals who are permanent residents (immigrants) and temporary residents (non-permanent residents).
Purpose: The personal information is used to produce statistical data to support a better understanding of the immigration population, the evidence for policy development and decision making, and to improve the quality of immigration related results that are released by Statistics Canada. More specifically, the data will be used in the development of the: Demographic Estimates Program, Longitudinal Immigration Database, Canadian Statistical Demographic Database / Census Project Transformation Project, Census Reverse Record Check Project, Personal information is collected pursuant to the Statistics Act (Sections 3, 13, 22).
Consistent Uses: The information is used for statistical and research purposes only. The information from these files may be combined with other administrative data records, and with survey responses to reduce respondent burden and enhance survey data. Subject to Statistics Canada's Directive on Microdata Linkage, information from these files may be combined with the surveys or administrative data sources described in this chapter, including but not limited to the Longitudinal Immigration Database (StatCan PPU 135).
Retention and Disposal Standards: Information is retained until it is no longer required for statistical purposes and then it is destroyed.

RDA Number: 2007/001
Related Record Number: StatCan DEM 030
TBS Registration: 20170139
Bank Number: StatCan PPU 157

Indian Register
Description: This bank describes information that is related to the registration of individuals as "Registered Indians" under the Indian Act and obtained from Indigenous and Northern Affairs Canada (formerly Aboriginal Affairs and Northern Development Canada) (AANDC PPU 110). Personal information may include name, sex, date of birth, death, marriage and divorce, membership to a band (or First Nation community), name of spouse, names of relatives, and place of residence.
Class of Individuals: Individuals who are "Registered Indians" under the Indian Act. Registered Indians are also known as Status Indians.
Purpose: The personal information is used to provide auxiliary information regarding Registered Indians to existing data sources in order to increase the quality and availability of data on Aboriginal peoples. This includes combining the information with data collected from the Census of Population (StatCan PPU 005) to process and certify census estimates. Personal information is collected pursuant to the Statistics Act (Sections 3, 13).
Consistent Uses: These data are also used for DEMOSIM (a Statistics Canada micro-simulation model designed to produce population projections) projections, to enhance record linkage environments such as the Social Domain Linkage Environment (SDLE), for the creation of the Canadian Statistical Demographic Database, and for other statistical projects relating to Registered Indians in Canada.
Retention and Disposal Standards: Information is retained until it is no longer required for statistical purposes and then it is destroyed.

RDA Number: 2007/001
Related Record Number: StatCan HFS 722
TBS Registration: 20170144
Bank Number: StatCan PPU 160

Small Area and Administrative Data
Description: Includes records related to the use of T1 income tax data for statistical and analytical purposes. Also includes records related to the Small Area Database that contains annual socio-economic and demographic data for sub-provincial areas. Data come from sources within and external to Statistics Canada. Also includes records related to the Longitudinal Administrative Databank which contains individual and family information on approximately five million people based on tax records from the Canada Revenue Agency.
Document Types: Administrative records, operation and planning documents, decision records, analytical articles and studies, special tabulations, microdata files, statistical databases, evaluation reports, contracts and memoranda of understanding.
Record Number: StatCan SAD 555

Longitudinal Administrative Databank
Description: This bank describes tax information drawn from a 20% sample of individuals from the T1 Family File (StatCan PPU 111) and, in the case of immigrants, information from the Longitudinal Immigration Database (StatCan PPU 135). Personal information may include name, demographic information such as gender and date of birth, marital status, mother tongue, country of birth, citizenship, Social Insurance Number, income, occupation, education and date of arrival in Canada.
Class of Individuals: Taxfilers.
Purpose: The databank is used to study the dynamics of life events such as marriage, migration, etc. and its impact on income and economic status. It is used to produce aggregate, non-identifiable data on the economic performance and demographic characteristics of the population over time. This information is essential to the development and evaluation of policies related to economic well-being. Personal information, including the Social Insurance Number, is collected pursuant to the Statistics Act (Sections 3, 13, 24) for statistical purposes.
Consistent Uses: None.
Retention and Disposal Standards: Information is retained until it is no longer required for statistical purposes and then it is destroyed.

RDA Number: 2007/001
Related Record Number: StatCan SAD 555
TBS Registration: 005004
Bank Number: StatCan PPU 112

T1 Family File (T1FF)
Description: The database describes information on all taxfilers as well as their identifiable filing and non-filing family members (census family definition). The family formation is done through deterministic and probabilistic matching and imputation. The data are compiled from taxation files and supplemented with estimates of components of income and taxes not covered in the federal taxation system (e.g., some provincial refundable tax credits, taxes for the province of Quebec).
Class of Individuals: Taxfilers and non-filers.
Purpose: The personal information is used to produce annual statistical data for large and small areas, providing a social and economic profile of the population. This information is essential, particularly to governments and private organizations, to the process of developing and evaluating programs and policies related to financial well-being. Personal information is collected pursuant to the Statistics Act (Sections 3, 13, 24).
Consistent Uses: The information from taxation files may be combined with other administrative data records, and with survey responses to reduce respondent burden and enhance survey data. Subject to Statistics Canada's Directive on Record Linkage, information from the T1FF may be combined with the surveys or administrative data sources described in this chapter, including but not limited to the Longitudinal Immigration Database (StatCan PPU 135) and Census of Population and National Household Survey (StatCan PPU 005).
Retention and Disposal Standards: Information is retained until it is no longer required for statistical purposes and then it is destroyed.

RDA Number: 2007/001
Related Record Number: StatCan SAD 555
TBS Registration: 005003
Bank Number: StatCan PPU 111

Tourism Statistics
Description: Includes records related to the collection, analysis and dissemination of statistics on tourism and travel within and outside of Canada.
Document Types: Questionnaires, administrative records, operation and planning documents, decision records, interviewer manuals, respondent relations material and correspondence, analytical articles and studies, publications, special tabulations, microdata files, statistical databases, evaluation reports, letters of agreement and memoranda of understanding.
Record Number: StatCan ECT 180

Social Analysis
Description: Includes records relating to the analysis of socio-economic phenomena focusing on labour markets, income, pensions, health, education and the family.
Document Types: Operation and planning documents, decision records, analytical articles and studies, publications, special tabulations, microdata files, statistical databases, evaluation reports, contracts and memoranda of understanding.
Record Number: StatCan SES 297

Social Characteristics
Description: Includes data related to the collection, analysis and dissemination of statistics on key social issues, including immigration, population groups, Indigenous peoples, persons with disabilities, religion, ethnicity, language, social identity, giving and volunteering, victimization, youth, families, gender, seniors, time use, care giving and receiving, and social well-being through surveys such as the General Social Survey.
Document Types: Questionnaires, administrative records, operation and planning documents, decision records, respondent relations material and correspondence, analytical articles and studies, publications, special tabulations, microdata files, statistical databases, evaluation reports, data-sharing agreements, contracts and memoranda of understanding.
Record Number: StatCan HFS 722

General Social Survey
Description: This bank describes information collected through the General Social Survey (GSS), which covers a rotating theme of topics including: social support; time use; giving, volunteering and participating; victimization; families; and caregiving and care receiving. Personal information may include the first and last name and date of birth of each member of the household as reported by a member of the household; and the first and last name and date of birth of the selected respondent as reported by the selected respondent.
Note: Individuals requesting information on their participation in a GSS cycle will need to provide the name of the survey cycle in which they participated, the year in which the survey was conducted and their phone number at that time. Because personal information is self-reported, it should be noted that if a respondent did not provide their name during the interview (for example provided a pseudo name), Statistics Canada will be unable to identify their participation in the survey.
Class of Individuals: Population aged 15 and over living in the 10 Canadian provinces excluding those living in institutions. One GSS cycle (Victimization) also include those aged 15 and over living in the North.
Purpose: The personal information is used to produce statistical data on social trends in order to monitor changes in the living conditions and well-being of Canadians over time and to provide immediate information on specific social policy issues of current or emerging interest. Personal information is collected pursuant to the Statistics Act (Sections 3, 7, 8).
Consistent Uses: For recent cycles of the GSS, the information is linked to income tax data files (StatCan PPU 111) in order to obtain personal and household income, and reduce burden on respondents. Data from the GSS on Social Identity were also linked to the Longitudinal Immigrant database (StatCan PPU 135).
Retention and Disposal Standards: Information is retained until it is no longer required for statistical purposes and then it is destroyed.

RDA Number: 2007/001
Related Record Number: StatCan HFS 722
TBS Registration: 20160031
Bank Number: StatCan PPU 155

Surveys on Giving, Volunteering and Participating
Description: The bank describes information collected on how Canadians support individuals and communities on their own or through their involvement with charitable and non-profit organizations by means of the Canada Survey on Giving, Volunteering and Participation and the Follow-up Survey of Giving, Volunteering and Participation. The personal information includes full name, address, telephone number, education, marital status, language of choice, type of employment, annual income, citizenship and immigration status, religion, ethnic origin, health status, civic participation (such as participating in school council or youth organizations), amount of money donated and payment method and to which organization(s), history of volunteering activities, nature of volunteer work, name of organization, reasons for volunteering, formal or informal volunteering, i.e., helping a friend or neighbour and reasons for not volunteering.
Note: Starting with reference year 2012, this survey is part of the General Social Survey (StatCan PPU 155).
Class of Individuals: Individuals who are aged 15 years and over.
Purpose: The personal information is used to produce statistical data on unpaid volunteer activities, charitable giving and participation as well as their motivations and barriers for doing so. The results will help build a better understanding of these activities which can in turn be used to help develop programs and services. Personal information is collected pursuant to the Statistics Act (Sections 3, 7, 8).
Consistent Uses: With consent, information without names or other personal identifiers may be shared with Imagine Canada (formerly the Canadian Centre for Philanthropy) and Health Canada as permitted under the provisions of Section 12 of the Statistics Act, for statistical and research purposes. A selection of respondents who participated in the Canada Survey on Giving, Volunteering and Participation were re-contacted as part of a follow-up survey, the Follow-Up Survey of Giving, Volunteering and Participating, to determine how their volunteering and giving patterns may have changed, and if so, why.
Retention and Disposal Standards: Information is retained until it is no longer required for statistical purposes and then it is destroyed.

RDA Number: 2007/001
Related Record Number: StatCan HFS 722
TBS Registration: 007092
Bank Number: StatCan PPU 156

3) Censuses

Through the Censuses program, Statistics Canada provides statistical information and analyses that measure changes in the Canadian population and its demographic characteristics, and in the agricultural sector. This information is used to support government priorities and charters and serves as a basis for public and private decision making, and research and analysis in areas of concern to Canadians. The program includes the Census of Population and the Census of Agriculture. It meets constitutionally specified statistical requirements, statutory requirements and the requirements of regulatory instruments. Both the Census of Population and the Census of Agriculture are mandated by the Statistics Act; the Census of Population is also mandated in the Constitution Act. The Census of Population provides detailed information on population subgroups for small geographic areas, which is required to assess the effects of specifically targeted policy initiatives, and serves as a foundation for other statistical surveys. The Census of Agriculture produces a comprehensive picture of the agriculture sector at the national, provincial and subprovincial levels. These data are used to benchmark the Agriculture Statistics Program, which feeds the Canadian System of Macroeconomic Accounts to form the agriculture component of the gross domestic product.

1940 National Registration Records
Description: Includes records related to the 1940 National Registration Records which includes information from a compulsory registration of all persons 16 years of age or older in the period 1940-1946.
Document Types: Administrative records, operation and planning documents, decision records, correspondence, statistical databases.
Record Number: StatCan COP 020

1940 National Register
Description: This bank describes information obtained from the 1940 National Registration Records, which provide social and economic information on individuals as well as information on their skills. Personal information may include name, racial origin, birthplace, nationality, education and work experience.
Class of Individuals: All persons 16 years of age or older in the period 1940-1946 with the exception of those people who were, at the time of registration, members of the armed forces, a religious order, or confined to an institution.
Purpose: The information was originally obtained under the authority of the National Resources Mobilization Act, 1940, and the War Measures Act to permit the mobilization of all of the effective resources of the nation for the defence and security of Canada. The National Registration Regulations pursuant to this legislation gave custody of the records to Statistics Canada, then known as the Dominion Bureau of Statistics.
Consistent Uses: A program has been established called the Census Microfilm and Pension Searches Sub-unit, which provides third parties with information on individuals who were included in the 1940 National Registration Records. This information is typically requested for genealogical purposes and is made available only if proof is provided that the person about whom information is requested has been deceased for more than 20 years. Searches are also conducted to provide proof of age, place of residence, family relationships or length of residence in Canada from the 1940 National Registration Records. The service is normally provided in support of applications for pensions, citizenship, passports and similar situations where other administrative records are required but no longer exist or, as in a number of cases, were never issued. Name, address and basic demographic characteristics of the applicant are verified prior to completion of request. A standard fee of $45 (plus applicable taxes) is charged for each search undertaken; the fee is refunded if the search is not successful. Requests should be sent to the Census Microfilm and Pension Search Sub-unit, Census Operations Division, Statistics Canada, 170 Tunney's Pasture Driveway, Ottawa, Ontario, K1A 0T6.
Retention and Disposal Standards: Records will be retained as long as required for genealogical research purposes.

RDA Number: 2007/001
Related Record Number: StatCan COP 020
TBS Registration: 001840
Bank Number: StatCan PPU 010

Census of Agriculture Statistics, Agriculture-Population Linkage and Content Test Process
Description: Includes records related to the planning, collection, processing, dissemination and evaluation of the Census of Agriculture which is conducted every five years and the linkage of Census of Agriculture data with data from the Census of Population and the National Household Survey. The Census test process begins with the content consultation, which obtains data needs and data gaps from key stakeholders and there is the census test which is sent out to a subset of the agricultural population to complete the entire questionnaire, including new content.
Document Types: Questionnaires, operation and planning documents, decision records, enumerator, interviewer and help-line operator manuals, respondent relations material and correspondence, analytical articles and studies, publications, special tabulations, microdata files, statistical databases, evaluation reports, contracts and memoranda of understanding.
Record Number: StatCan AGR 445

Census of Agriculture Database
Description: This bank describes information that is obtained from the Census of Agriculture on the characteristics of farms and farm operators and information relating to crops, livestock, poultry, machinery, farm operating expenses and receipts by type of farm. Information on assets, liabilities and investments is also available.
Class of Individuals: Individuals considered to be farm operators.
Purpose: The information is used to provide a base inventory of Canadian agriculture, input to the Canadian System of Macroeconomic Accounts and information for production, marketing and policy decisions. Personal information is collected pursuant to the Statistics Act (Sections 3, 20, 21).
Consistent Uses: Statistics Canada may release name and address information to other members of the national agricultural statistical system for statistical purposes if the legal requirements imposed by the Statistics Act under section 17 are met.
Retention and Disposal Standards: Information is retained until it is no longer required for statistical purposes and then it is destroyed.

RDA Number: 2007/001
Related Record Number: StatCan AGR 445
TBS Registration: 001843
Bank Number: StatCan PPU 030

Census of Agriculture – Census Test
Description: This bank describes information on characteristics of farms and farm operators that is collected through the Census of Agriculture – Census Test. Personal information may include: name, address, date of birth, gender, preferred language of communication, telephone number and information on assets, liabilities and investments.
Class of Individuals: Individuals considered to be farm operators that are selected to participate in the Census of Agriculture – Census Test.
Purpose: The personal information is used to produce statistical data assist in determining whether new or revised questions proposed for the Census of Agriculture Program can be easily understood and correctly answered, and to assess public reaction to these questions by testing them on a small scale basis. Personal information is collected pursuant to the Statistics Act (Sections 3, 7, 8) for statistical purposes.
Consistent Uses: None
Retention and Disposal Standards: Information is retained until it is no longer required for statistical purposes and then it is destroyed.

RDA Number: 2007/001
Related Record Number: StatCan AGR 445
TBS Registration: 20180044
Bank Number: StatCan PPU 031

Census of Population Program Management and Operations
Description: Includes records related to the collection, processing, analysis, and dissemination of statistics from the Census of Population and the National Household Survey as well as testing and consultations and post-censal evaluation studies. The program also manages Statistics Canada's role in the prosecution of individuals who fail to complete a census questionnaire as required under the Statistics Act.
Document Types: Questionnaires, administrative records, operation and planning documents, decision records, enumerator, interviewer and help-line operator manuals, respondent relations material and correspondence, analytical articles and studies, publications, special tabulations, microdata files, statistical databases, evaluation reports, discretionary disclosure orders, contracts and memoranda of understanding.
Record Number: StatCan COP 015

Census of Population and National Household Survey
Description: This bank describes information about individuals whose personal information was collected in any of the Censuses of Population taken since 1921 and, for 2011, individuals whose personal information was collected in the voluntary National Household Survey. The Census of Population is a national inventory of Canada's key socio-economic phenomena conducted at prescribed intervals by statutory requirement. Personal information may include name, contact information, demographic information (including age, date of birth, ethnicity, and religion), citizenship status, languages spoken or understood, relationship to cohabitant(s), limitation on ability to do daily activities, educational information, financial information, work and other social and economic characteristics depending on the particular census or survey. It may also include data on income from the Canada Revenue Agency.
Class of Individuals: All individuals in Canada and Canadians abroad at the time of the census, as well as individuals selected to complete a National Household Survey questionnaire.
Purpose: The personal information collected in the Census of Population Program are compiled into statistics which are used for a wide range of purposes including the determination of economic and social policies, planning industrial development, and estimating needs for schools, roads and many other public services. Population figures are used to determine federal electoral district boundaries, and to calculate per capita grants to provinces and municipalities. Personal information collected in the National Household Survey is used in aggregate form for statistical analysis of current population and societal trends. Personal information is collected pursuant to the Statistics Act (Sections 3, 7, 8, 19, 21).
Consistent Uses: Census and National Household Survey questionnaires may be used to draw samples for surveys approved by Statistics Canada for research purposes, and for studies that are part of the evaluation program for the Census of Population and the National Household Survey. Census and National Household Survey data may be combined with other survey or administrative databases described in this chapter for approved statistical purposes, such as the T1 Family File (StatCan PPU 111). Census and National Household Survey information may be used to respond to requests from individuals for proof of age, length of residence in Canada, citizenship, Aboriginal status or other similar purposes. This service is provided in support of applications for pensions, citizenship, passports and similar situations where other administrative records no longer exist or were never issued.
Retention and Disposal Standards: As required by the Statistics Act, records are kept for 92 years after the census and are then transferred to Library and Archives Canada. Information collected in a census taken in 2006, 2011 and 2016, and the 2011 National Household Survey will be transferred only with consent of the person to whom the information relates. This information may also be made available to the public for research purposes after 92 years.

RDA Number: 2007/001
Related Record Number: StatCan COP 015
TBS Registration: 001839
Bank Number: StatCan PPU 005

Census of Population - Alternate Records for 2016 Census
Description: This bank describes information that was obtained from the Regional Municipality of Wood Buffalo, Alberta's Office of Statistics and Information, and the Alberta Treasury Board and Finance. It includes information from the municipal censuses of 2012 and 2015, and on evacuees from other communities of northern Alberta affected by the 2015 northern Alberta wild fires. Personal information may include name, mailing and email address, age, date of birth, gender, telephone number, family size, relationships and first nation status.
Class of Individuals: Residents of Wood Buffalo enumerated in the 2012 and 2015 municipal censuses, and individuals who were evacuated as a result of the northern Alberta wildfires in May 2015.
Purpose: The personal information is used to enhance the collection of census data in 2016 to produce statistical data about the population of Canada. Personal information is collected pursuant to the Statistics Act (Sections 3, 13, 22). The information was needed since the wildfires resulted in relocation of residents, which hindered the collection of the 2016 Census.
Consistent Uses: The information may be used to draw samples for surveys approved by Statistics Canada for research purposes, and for studies that are part of the evaluation program for the Census of Population Program. Subject to Statistics Canada's Directive on Microdata Linkage, information may be combined with the surveys or administrative data sources described in this chapter for approved statistical purposes, such as the T1 Family File (StatCan PPU 111). The information may also be used to respond to requests from individuals for proof of age, length of residence in Canada, citizenship, Aboriginal status or other similar purposes. This service is provided in support of applications for pensions, citizenship, passports and similar situations where other administrative records no longer exist or were never issued.
Retention and Disposal Standards: Information is retained until it is no longer required for statistical purposes and then it is destroyed.

RDA Number: 2007/001
Related Record Number: StatCan COP 015
TBS Registration: 20170142
Bank Number: StatCan PPU 009

Census of Population - Census Program Content Test
Description: This bank describes information related to individuals who have participated in content tests conducted to test Census of Population Program questions. Personal information may include name, contact information, demographic information (including age, date of birth, ethnicity, and religion), Social Insurance Number (SIN), citizenship status, languages spoken or understood, relationship to cohabitant(s), educational information, financial information, work and other social and economic characteristics depending on the particular census or survey.
Class of Individuals: Individuals within households selected to participate in Census Program test surveys.
Purpose: The objectives of the test are to determine whether new or revised questions proposed for the Census Program can be easily understood and correctly answered, and to assess public reaction to these questions by testing them on a small scale basis. Personal information, including the Social Insurance Number, is collected pursuant to the Statistics Act (Sections 3, 7, 8) for statistical purposes.
Consistent Uses: None.
Retention and Disposal Standards: Records are retained for a period of 5 years after the completion of the Census Program test and then are destroyed. Digital images of questionnaires from tests conducted prior to the 2011 Census were kept for a period of 6 years.

RDA Number: 2007/001
Related Record Number: StatCan COP 015
TBS Registration: 002096
Bank Number: StatCan PPU 007

Census of Population - Evaluation Program
Description: This bank describes information that is related to individuals who have participated in post-census surveys that measure census coverage, data quality, and the enumeration of unoccupied dwellings and non-respondent households. Personal information may include name, contact information and demographic information such as age and date of birth.
Class of Individuals: Individuals selected to participate in Census of Population evaluation studies.
Purpose: The personal information is used to conduct studies as part of the evaluation program for the Census of Population. Studies measure census overcoverage by developing estimates of duplicate and erroneous enumerations. Census undercoverage is measured by developing estimates of the number and characteristics of persons and households that were missed. Studies are also used to adjust the census counts for non-response, to estimate the number of occupied private dwellings that were misclassified as vacant, and to adjust the occupied dwelling counts of the census accordingly.
Consistent Uses: Study results are used to make adjustments in Statistics Canada's population estimates program and to develop improved procedures for future censuses. Personal information is collected pursuant to the Statistics Act (Sections 3, 7, 8).
Retention and Disposal Standards: Records are retained only for as long as required for statistical purposes after the evaluation activity and then are destroyed.

RDA Number: 2007/001
Related Record Number: StatCan COP 015
TBS Registration: 003015
Bank Number: StatCan PPU 008

Census Pension Searches Program
Description: This bank describes information that relates to applicants to the Census Microfilm and Pension Search Sub-unit and to members of the applicant's family. Search reference information such as name, date of birth, place of birth and place of residence is provided by the applicant in order to undertake a search of historical census and 1940 National Registration Records. Results of a successful search will be furnished in the form of a certified transcript of the information found in the original records.
Class of Individuals: Individuals who make an application under the program.
Purpose: The personal information is used to undertake a search of historical census and the 1940 National Registration records in order to provide proof of age, length of residence in Canada, citizenship or Aboriginal status. The service is normally provided in support of applications for pensions, citizenship, passports and similar situations where other administrative records are required but no longer exist or, as in a number of cases, were never issued. Name, address and basic demographic characteristics of the applicant are verified prior to completion of request. Personal information is collected under the authority of the Statistics Act (paragraph 4(2)(b)).
Consistent Uses: None.
Retention and Disposal Standards: Records are destroyed three years after their last administrative use.

RDA Number: 2007/001
Related Record Number: StatCan COP 015
TBS Registration: 003117
Bank Number: StatCan PPU 012

Referrals to the Department of Justice - Refusal to Complete Census of Population or Census of Agriculture Questionnaires
Description: This bank describes information that is related to individuals who have refused to complete a Census of Population or Census of Agriculture questionnaire and whose details may have been referred to the Department of Justice (JUS). Personal information may include name, contact information and other information relevant to an assessment of each case by JUS.
Class of Individuals: Individuals who have refused to complete a Census of Population or Census of Agriculture questionnaire and whose cases may have been referred to the Department of Justice.
Purpose: The personal information is used to determine whether to pursue in a court of law those individuals who have refused to complete a Census of Population or Census of Agriculture questionnaire as required by the Statistics Act. Information is disclosed to, and used by, the Department of Justice for prosecution under Section 31 of the Statistics Act; refer to Prosecution and Related Criminal Matters JUS PPU 015.
Consistent Uses: None.
Retention and Disposal Standards: Records are retained for three years after their last administrative use and then destroyed.

RDA Number: 2007/001
Related Record Number: StatCan COP 015
TBS Registration: 002097
Bank Number: StatCan PPU 120

4) Centres of Expertise

The Centres of Expertise support all other Statistics Canada programs to ensure that Canadian citizens, businesses, governments, universities and other institutions have access to the most detailed, timely and accurate information at the lowest cost possible—both in terms of dollars and response burden—while protecting the privacy of their information. The centres facilitate trade and exchanges with other countries by promoting similar statistical systems around the world through standardized concepts, methods and classification systems and through international co-operation. Through their innovative research, analysis and data development activities, the centres continually seek new data sources, leading edge methods and systems, cost effective operations and new statistical products to address the current and future information needs of Canadians.

Administrative Data
Description: Records related to the management, processing and use of data from taxation records of individuals and businesses or from other administrative records, and the incorporation of this information in multiple statistical programs throughout Statistics Canada.
Document Types: Administrative records, operation and planning documents, decision records, statistical databases, evaluation reports, contracts and memoranda of understanding.
Record Number: StatCan ADD 530

Linkage Control File
Description: This bank describes information that is used to support the Longitudinal Immigration Database and record linkages conducted by Statistics Canada. Source files include the T1 Family File, the Canada Child Tax Benefit File, the historical postal code and telephone files, and the historical landing date file. Personal information may include name, demographic information such as gender and date of birth, Social Insurance Number (SIN), Immigrant Serial Number and date of arrival in Canada.
Class of Individuals: Taxfilers (both immigrants and non-immigrants).
Purpose: The personal information is used to facilitate and improve the accuracy of the linkage of the files described above in support of the Longitudinal Immigration Database and other record linkages conducted by Statistics Canada. Personal information, including the Social Insurance Number, is collected pursuant to the Statistics Act (Sections 3, 13, 24) for statistical purposes.
Consistent Uses: None.
Retention and Disposal Standards: Information is retained until it is no longer required for statistical purposes and then it is destroyed.

RDA Number: 2007/001
Related Record Number: StatCan ADD 530
TBS Registration: 20120251
Bank Number: StatCan PPU 136

Housing Data
Description: This bank describes information pertaining to housing statistics, including mortgages, first-time home-buyers, and seniors' housing obtained from public (Federal, Provincial/Territorial, or Municipal) and private organizations, including data from the Canada Mortgage and Housing Corporation (CMHC) such as the National Housing Act (NHA) Insured Loans Files ( CMHC PPU 040) and the National Housing Act (NHA) Mortgage Loan Administration Files (CMHC PPU 015). Personal information may include names of borrowers, co-borrowers, residents of CMHC subsidized senior housing units, contact information, addresses, unique identification numbers, date of birth, employment history, dependents, income, financial assets, debts and credit scores.
Note: This PIB excludes information covered under the "Property Assessment" PIB (StatCan PPU 141).
Class of Individuals: Individuals with residential and commercial CMHC registered mortgages and residents of CMHC subsidized senior housing accommodations.
Purpose: The personal information is used to produce statistical data to administer the Canadian Housing Survey, and for the purposes of the Building and Address Register, Household Survey Frame and the Residential Property Price Index programs. Personal information is collected pursuant to the Statistics Act (Sections 3, 13, 22).
Consistent Uses: The information may be used to create program inventories, which will assist in avoiding the duplication of collection and the evaluation of housing statistics in Canada. The use of linkage with this data is governed by Statistics Canada's Directive on Microdata Linkage which must be followed before any linkage of records is conducted.
Retention and Disposal Standards: Information is retained until it is no longer required for statistical purposes and then it is destroyed.

RDA Number: 2007/001
Related Record Number: StatCan ADD 530
TBS Registration: 20180015
Bank Number: StatCan PPU 143

Property Assessment Data
Description: This bank contains personal information about individuals registered with property assessment agencies across Canada. Personal information may include Social Insurance Number, current and former property owners' legal names, gender, mailing address, email address, phone number, date of birth, citizenship, residency information, business telephone number, and other information such as the property's address and roll number.
Class of Individuals: Individuals owning property and registered with property assessment agencies or corporations across Canada.
Purpose: The personal information is used to produce statistical data for Statistics Canada in relation to the Censuses Program, housing, price indices and statistical address registry programs. Personal information, including the Social Insurance Number, is collected pursuant to the Statistics Act (Sections 3, 13, 22).
Consistent Uses: The information is used for promoting and developing integrated social and economic statistics pertaining to the whole of Canada, and to each of the provinces and territories thereof, and to coordinate plans for the integration of such statistics. The use of record linkage with this data is governed by Statistics Canada's Directive on Microdata Linkage which must be followed before any linkage of records is conducted.
Retention and Disposal Standards: Information is retained until it is no longer required for statistical purposes and then it is destroyed.

RDA Number: 2007/001
Related Record Number: StatCan ADD 530
TBS Registration: 20170140
Bank Number: StatCan PPU 141

Social Insurance Register (SIR)
Description: This bank describes information related to Social Insurance Number (SIN) applicants obtained from Employment and Social Development Canada (ESDC PPU 390). In addition to the SIN, personal information may include name, date of birth, address and the following categories of information: biographical, citizenship status, family, language and government issued identification.
Class of Individuals: Persons residing in Canada and having a social insurance number.
Purpose: The personal information is used to produce statistical data for Statistics Canada's Socio-economic Statistics and Censuses programs. Personal information, including the Social Insurance Number, is collected pursuant to the Statistics Act (Sections 3, 13, 22).
Consistent Uses: The information is used for statistical and research purposes only. Subject to Statistics Canada's Directive on Microdata Linkage, the social insurance information may be combined with surveys or administrative data sources described in this chapter, including but not limited to the Census of Population and National Household Survey (StatCan PPU 005).
Retention and Disposal Standards: Information is retained until it is no longer required for statistical purposes and then it is destroyed.

RDA Number: 2007/001
Related Record Number: StatCan ADD 530
TBS Registration: 20170138
Bank Number: StatCan PPU 139

Smart Meter
Description: This bank contains personal information of individuals registered with hydro-electric meter or smart meter programs across Canada. Personal information of consumers registered in the program may include names, billing address (including postal code), meter account number, telephone numbers and email addresses, and special billing circumstances such as social assistance, bankruptcy plan and payment status.
Class of Individuals: Consumers of hydro-electric power registered with service providers across Canada.
Purpose: The personal information is used to produce statistical data in relation to electric power utilities. Personal information is collected pursuant to the Statistics Act (Sections 3, 13, 22).
Consistent Uses: The information is used for promoting and developing integrated social and economic statistics pertaining to the whole of Canada, and to each of the provinces and territories thereof, and to coordinate plans for the integration of such statistics. The use of record linkage with this data is governed by Statistics Canada's Directive on Microdata Linkage which must be followed before any linkage of records is conducted.
Retention and Disposal Standards: Information is retained until it is no longer required for statistical purposes and then it is destroyed.

RDA Number: 2007/001
Related Record Number: StatCan ADD 530
TBS Registration: 20170141
Bank Number: StatCan PPU 142

T1 Business (Self-employed)
Description: This bank describes information that supports business surveys and other statistical activities at Statistics Canada. It is composed of a financial declaration file as well as a business declaration file, and contains information from various T1 files received from the Canada Revenue Agency. Personal information on the financial declaration file may include Social Insurance Number, business name, address and province. The business declaration file includes business name, address and province.
Class of Individuals: Self-employed taxfilers.
Purpose: The list of self-employed workers is used for statistical purposes, including sampling and estimation. Personal information, including the Social Insurance Number, is collected pursuant to the Statistics Act (Sections 3, 24).
Consistent Uses: The information from the T1 files may be combined with other administrative data records and with business survey responses in order to reduce the response burden for smaller businesses selected for surveys.
Retention and Disposal Standards: Information is retained until it is no longer required for statistical purposes and then it is destroyed.

RDA Number: 2007/001
Related Record Number: StatCan ADD 530
TBS Registration: 20170145
Bank Number: StatCan PPU 137

T1 Enhanced Database
Description: This bank describes information that supports social and household surveys and other statistical activities at Statistics Canada. The source of the information is the T1 Personal Master File received from the Canada Revenue Agency. Personal information may include name, address and demographic information such as sex and date of birth, as well as Social Insurance Number.
Class of Individuals: Taxfilers
Purpose: The list of taxfilers is used for statistical purposes, including sampling and estimation. Personal information, including the Social Insurance Number, is collected pursuant to the Statistics Act (Sections 3, 24) for statistical purposes.
Consistent Uses: The information from the T1 files may be combined with other administrative data records and with survey responses, including but not limited to special surveys (StatCan PPU 016) and health surveys (StatCan PPU 806) in order to reduce response burden and enhance survey data.
Retention and Disposal Standards: Information is retained until it is no longer required for statistical purposes and then it is destroyed.
RDA Number: 2007/001
Related Record Number: StatCan ADD 530
TBS Registration: 20170146
Bank Number: StatCan PPU 138

Client Service Activities
Description: Records related to the coordination of client service activities including the development of strategic communications plans, surveys and focus groups to assess client satisfaction and identify client needs, coordination of outreach activities, management of the Client Relationship Management System and the management of client information for the fulfillment of inquiries, purchase of products and services and support.
Document Types: Communications and outreach plans, outreach activities and evaluation, decision records, databases, invoices, contracts and memoranda of understanding.
Record Number: StatCan MAR 572

Client Information
Description: This bank describes information that relates to individuals who have contacted Statistics Canada for information and/or purchased products and services. Personal information may include: name, contact information, financial institution information, language, other identification numbers (e.g., client number), views and opinions (e.g., limit on contact for promotional purposes), and signature.
Class of Individuals: General public and representatives of businesses, organizations and other institutions.
Purpose: Personal information is collected pursuant to the Statistics Act (paragraph 4(2)(b)) and the Financial Administration Act, and is used to respond to inquiries or to process requests for products or services.
Consistent Uses: The information may be used, with consent, to contact clients for outreach activities and events, and client service purposes. Information may also be used for audit and evaluation purposes.
Retention and Disposal Standards: Records will be retained for two years after the last administrative use and are then destroyed.

RDA Number: 2007/0001
Related Record Number: StatCan MAR 572
TBS Registration: 20091596
Bank Number: StatCan PPU 805

Corporate Business Architecture
Description: Records related to all activities covered under the mandate of the Corporate Business Architecture Initiative.
Document Types: Operation and planning documents, decision records, communications material and correspondence, evaluation reports.
Record Number: StatCan SOP 602

Spatial Data Infrastructure
Description: the Spatial Data Infrastructure (SDI) contains the national road network (including road names and address ranges) from the National Geographic Database (NGD), a shared database between Statistics Canada and Elections Canada. The SDI supports a wide range of Census of population and Census of agriculture operations, such as the maintenance and delineation of the boundaries of standard geographic areas and custom area creation. SDI supports several social and business statistical programs, and administrative sources; and geocoding activities. The SDI is also the source for generating and disseminating many geography products such as cartographic and digital boundary files and road network files, combining geospatial information with statistical data to support analytical activities and create mapping tools.
Document Types: Administrative records, operation and planning documents, decision records, maps, special tabulations, microdata files, statistical databases, evaluation reports, contracts and memoranda of understanding.
Record Number: StatCan GEO 520

Standards
Description: Records related to statistical units, variables, and classifications such as the North American Industry Classification System (NAICS), the North American Product Classification System (NAPCS), the Standard Geographical Classification (SGC), Classification of Instructional Programs (CIP) and the National Occupational Classification (NOC), and related products for coding and concordances. Also includes data sources and methods for Statistics Canada's surveys and statistical programs and an inventory of questionnaires.
Document Types: Operation and planning documents, decision records, statistical metadatabases, evaluation reports, contracts and memoranda of understanding.
Record Number: StatCan STD 535

Statistical Address Register
Description: Records related to the maintenance of a central register of residential dwelling addresses and its related telephone frame for statistical purposes. The register is used by statistical programs to determine the in-scope population, select samples for socioeconomic programs, support collection activities and support the Census of Population and household surveys.
Document Types: Administrative records, operation and planning documents, decision records, maps, special tabulations, microdata files, statistical databases, evaluation reports, contracts and memoranda of understanding.
Record Number: StatCan ADR 520

Household Survey Frame Service
Description: This bank describes information from residential telephone billing files and directories obtained from data suppliers including service providers. Personal information may include name and contact information.
Class of Individuals: General population.
Purpose: The personal information is linked to a series of databases including the Census of Population (StatCan PPU 005) and the T1 Family File (StatCan PPU 111) to add demographic information such as gender, date of birth, marital status and family income. The combined contact and demographic information is used to create survey frames for a number of household surveys conducted by Statistics Canada based on the geography selected. The survey frame is the basis for selecting samples for surveys conducted by Statistics Canada. Personal information is collected under the authority of the Statistics Act (Sections 3, 13).
Consistent Uses: Information from a survey frame may also be used for methodological purposes such as to decrease statistical bias and to make adjustments for non-response to the survey.
Retention and Disposal Standards: Information is retained until it is no longer required for statistical purposes and then it is destroyed.

RDA Number: 2007/001
Related Record Number: StatCan ADR 520
TBS Registration: 20160033
Bank Number: StatCan PPU 804

Statistical Business Register
Description: Records related to the development and maintenance of a central register of enterprises and associated establishments for statistical purposes. The register is used by statistical programs to determine the in-scope population, select samples for economic programs, support collection activities, monitor respondent burden and support/perform business demographics analysis.
Document Types: Administrative records, operation and planning documents, decision records, microdata files, statistical databases, evaluation reports, discretionary disclosure orders, contracts and memoranda of understanding.
Record Number: StatCan BUS 525

Statistics Act Advice and Documentation
Description: Records related to the provision of services for the interpretation and administration of the Statistics Act, and compliance with all legal requirements concerning data collection, use and disclosure. Includes documents that outline specific conditions for access to confidential information obtained pursuant to the Statistics Act, such as standard data-sharing agreements under Sections 11 or 12 of the Act, agreements for obtaining records pursuant to Section 13 and authorized disclosures under Section 17(2). Also comprises records related to privacy impact assessments, record linkage and prescription of survey collection activities.
Document Types: Operation and planning documents, decision records, directives and guidelines, communications material and correspondence, data-sharing agreements, discretionary disclosure orders and agreements, survey prescription request forms and orders, record linkage and project proposals, privacy impact assessments, threat risk assessments, contracts and memoranda of understanding.
Record Number: StatCan SAD 700

Survey Management and Operations
Description: Records related to survey development and management of collection operations for multiple household and business surveys. Also includes records relating to data entry and coding services, and processing of information obtained from survey respondents or from other organizations.
Document Types: Questionnaires, reporting guides, operation and planning documents, decision records, interviewer manuals, respondent relations material and correspondence, statistical databases, evaluation reports.
Record Number: StatCan SOP 601

Survey Methods
Description: Records related to survey design, methodology, data science, data quality and data analysis for programs that conduct surveys and use administrative records.
Document Types: Operation and planning documents, decision records, evaluation reports, technical and scientific papers, algorithms and user guides.
Record Number: StatCan MET 545

5) Cost-Recovered Statistical Services

Through the Cost-recovered Statistical Services program, Statistics Canada conducts special surveys to gather new data; produces high-quality statistics that are currently not part of the agency's data holdings; and conducts on-demand special analytical projects to meet specific needs of federal, provincial and territorial institutions and other clients.

Aboriginal Peoples Surveys
Description: Records related to various surveys which collect extensive data on the living conditions of Aboriginal Peoples in Canada.
Document Types: Questionnaires, reporting guides, operation and planning documents, decision records, interviewer manuals, respondent relations material and correspondence, analytical articles and studies, publications, special tabulations, microdata files, statistical databases, evaluation reports, data-sharing agreements, contracts and memoranda of understanding.
Record Number: StatCan HFS 716

Census Cost-recovered Services
Description: Includes records on the analysis, tabulation and dissemination of statistics related to the Censuses. These services are offered, on a cost-recovery basis, to meet the needs of external clients such as other federal government departments.
Document Types: Analytical articles and studies, special tabulations, microdata files, statistical databases, evaluation reports, contracts and memoranda of understanding.
Record Number: StatCan COP 025

Data Access Services
Description: Includes records related to data access services offered mostly on a cost-recovery basis, such as the Data Liberation Initiative, Research Data Centres, the Canadian Centre for Data Development and Economic Research, and the Real Time Remote Access program, to support the statistical needs of external clients, such as federal government departments and academic institutions.
Document Types: Operation and planning documents, decision records, communications material and correspondence, evaluation reports, research proposals, contracts and memoranda of understanding.
Record Number: StatCan RDC 505

Deemed Employees
Description: Includes records related to persons who are temporarily engaged by Statistics Canada to conduct research or to provide another service to a statistical program.
Document Types: Contracts, memoranda of understanding, résumés, research proposals.
Record Number: StatCan RDC 501

Deemed Employee Information
Description: This bank describes information collected from individuals who have been contracted to carry out research or to perform other work pursuant to the Statistics Act. The personal information may include: full name, address, telephone and fax numbers, email address, qualifications/résumé, signed copies of contracts or memoranda of agreement, signed oaths or affirmation of secrecy, signed copies of the Acknowledgment related to the Oath of Secrecy and the Values and Ethics Code for the Public Service.
Class of Individuals: Individuals who have approved research projects to be undertaken in a Research Data Centre or at Statistics Canada headquarters, or who have been engaged to provide a specific service to Statistics Canada. In the majority of cases, these individuals are researchers.
Purpose: The personal information is used to manage individuals who are conducting research or are providing a service to Statistics Canada for which they are required to have access to sensitive statistical information. Personal information is collected pursuant to the Statistics Act (Sections 4, 5, 6).
Consistent Uses: None.
Retention and Disposal Standards: Records are retained for two years after their last administrative use and then are destroyed. Records of signed oaths or affirmation of secrecy are kept indefinitely.

RDA Number: 2007/001
Related Record Number: StatCan RDC 501
TBS Registration: 007093
Bank Number: StatCan PPU 810

Demography
Description: Includes records related to the production, analysis and dissemination of customized population and demographic projections, on a cost-recovery basis, for external clients such as other federal government departments.
Document Types: Administrative records, decision records, analytical articles and studies, special tabulations, statistical databases, evaluation reports, contracts and memoranda of understanding.
Record Number: StatCan DEM 031

Economic and Environmental Statistics
Description: Includes records related to the collection, processing, analysis and dissemination of economic and environmental statistics from various ad hoc and recurring surveys, on a cost-recovery basis, for external clients such as other federal government departments. Also includes records relating to the dissemination of micro-simulation models of individuals, families or firms that are used to draw conclusions at higher levels of aggregation such as an entire country.
Document Types: Questionnaires, operation and planning documents, decision records, interviewer manuals, respondent relations material and correspondence, analytical articles and studies, special tabulations, microdata files, statistical databases, evaluation reports, data-sharing agreements, discretionary disclosure orders, contracts and memoranda of understanding.
Record Number: StatCan SES 292

Longitudinal Immigration Data
Description: Includes records related to the development and maintenance of the Longitudinal Immigration Database.
Document Types: Administrative records, operation and planning documents, decision records, analytical articles and studies, publications, special tabulations, microdata files, statistical databases, evaluation reports, contracts and memoranda of understanding.
Record Number: StatCan HFS 723

Longitudinal Immigration Database
Description: This bank describes information collected from immigration and tax files that is used for statistical research on the economic performance of immigrants in Canada. Source files include the Landing File from Citizenship and Immigration Canada and information from the Government of Quebec on immigrants to that province. This information is linked to the T1 Family File based on taxation information from the Canada Revenue Agency. Personal information may include name, demographic information such as sex, date of birth and death, country of birth, citizenship, date of arrival in Canada, immigrant class, education, work history and income.
Class of Individuals: Immigrants and their families.
Purpose: The Longitudinal Immigration Database (IMDB) is a comprehensive source of data from 1980 onwards on the economic behaviour of the immigrant taxfiler population in Canada and provides insight on the economic performance of immigrants and the impact of immigration policy. The IMDB is managed by Statistics Canada on behalf of a federal-provincial consortium led by Citizenship and Immigration Canada. The personal information is used to produce aggregate, non-identifiable data on the immigration population over time. Personal information is collected pursuant to the Statistics Act (Sections 3, 13, 24).
Note: The IMDB is reviewed every five years to ensure its continuing relevance to the development of immigration policy.
Consistent Uses: Selected variables on immigration from persons on the IMDB are added to the records of immigrant taxfilers on the Longitudinal Administrative Databank (StatCan PPU 112). This database, which is used for statistical research, is a 20% sample of all taxfilers in Canada selected from the T1 Family File (StatCan PPU 111).
Retention and Disposal Standards: Information is retained until it is no longer required for statistical purposes and then it is destroyed.

RDA Number: 2007/001
Related Record Number: StatCan HFS 723
TBS Registration: 003726
Bank Number: StatCan PPU 135

Socio-economic Statistics and Special Surveys
Description: Includes records related to the collection, analysis and dissemination of socio-economic statistics from various ad hoc and recurring household surveys, mostly on a cost-recovery basis, for external clients such as other federal government departments.
Document Types: Questionnaires, operation and planning documents, decision records, interviewer manuals, respondent relations material and correspondence, analytical articles and studies, special tabulations, microdata files, statistical databases, evaluation reports, data-sharing agreements, discretionary disclosure orders, contracts and memoranda of understanding.
Record Number: StatCan SSD 040

Administrative records for Special Surveys
Description: This bank describes information that is obtained from provincial ministries of health and education. Health topics include use of health services, visits to hospitals, clinics and doctors' offices. The Education topics include educational achievement, special education requirements, program type, and school behaviour. Personal identifiers may include: name, birth date, sex and postal code, as well as education-related or health-related identifiers such as health number.
Class of Individuals: General public or individuals selected for specific surveys, such as children, aged 4-17 years during the reference period, selected to participate in the 2014 Ontario Child Health Study.
Purpose: The personal information is used to enhance information collected through special surveys conducted by Statistics Canada. Personal information is collected under the authority of the Statistics Act (Sections 3, 13).
Consistent Uses: The administrative data provided to Statistics Canada from ministries will be linked to the survey data (Special Surveys – StatCan PPU 016) and may also be combined with other Statistics Canada databases, such as the T1 Family File (StatCan PPU 111).
Retention and Disposal Standards: Information is retained until it is no longer required for statistical purposes and then it is destroyed.

RDA Number: 2007/001
Related Record Number: StatCan SSD 040
TBS Registration: 20160032
Bank Number: StatCan PPU 812

Community Noise and Health Study
Description: This bank describes information that is collected through the Community Noise and Health Study (CHNS), which was conducted on behalf of Health Canada. In a personal interview at their home, respondents were asked a series of health-related questions and had their resting blood pressure measured, provided a hair sample for analysis of chronic stress and were asked to wear a sleep watch during a seven-day period for a sleep evaluation. This bank contains information for approximately 1200 respondents between the ages of 18 and 79. Personal information includes name, address, GPS coordinates, phone number, age, sex, population group, education, height, weight, health conditions, quality of life, sleep quality, caffeine consumption, alcohol use, smoking status and income.
Class of Individuals: Population from Prince Edward Island and Ontario living in areas close to noise sources, with one person 18 to 79 years of age selected per household.
Purpose: The Community Noise and Health Study (CHNS) was designed to explore the relationships between noise and health issues, such as hypertension, levels of chronic stress and measures of sleep quantity and quality. Personal information is collected under the authority of the Statistics Act (Sections 3, 7, 8).
Consistent Uses: De-identified hair samples are sent to the Koren & Van Uum lab at the University of Western Ontario for analysis conducted on behalf of Statistics Canada, and the final microdata file is available to researchers, which may include Health Canada employees, in the Research Data Centres for analysis of health issues related to noise. All laboratory staff and researchers with access to data are deemed employees of Statistics Canada and subject to the conditions and penalties of the Statistics Act. Results of physical measures, such as sleep and blood pressure, are provided to respondents who opted to receive a copy of the report, while results of hair cortisol levels are available upon request only. Respondents were also asked for their consent to allow Statistics Canada to link their CNHS data with other surveys and administrative data, such as sound measurement data and health records held by their provincial ministry of health. Respondents who consented provided their provincial health number to facilitate the data linkage.
Retention and Disposal Standards: Information is retained until it is no longer required for statistical purposes and then it is destroyed.

RDA Number: 2007/001
Related Record Number: StatCan SSD 040
TBS Registration: 20140003
Bank Number: StatCan PPU 811

Longitudinal Survey of Immigrants to Canada
Description: This bank describes information collected through the Longitudinal Survey of Immigrants to Canada, which was designed to study how recent immigrants adjust to living in Canada which assists organizations such as Citizenship and Immigration Canada to determine how to facilitate the integration of new immigrants. The survey was longitudinal, with recent immigrants being interviewed at approximately six months, two years, and four years after landing in Canada. Approximately 20,300 immigrants from across Canada were selected. Topics covered in the survey included language proficiency, housing, education, foreign credential recognition, employment, health, values and attitudes, the development and use of social networks, income, and perceptions of settlement in Canada.
Class of Individuals: Immigrants aged 15 years and over who arrived from abroad between October 2000 and September 2001.
Purpose: The survey was designed to improve the understanding of how immigrants adjust to life in Canada. Survey results shed light on the association between the socio-economic background of immigrants and their adjustment to life in Canada. It also identified barriers newcomers to Canada face during their initial integration and what type of help, if any, was useful. Personal information is collected under the authority of the Statistics Act (Sections 3, 7, 8).
Consistent Uses: Respondents were asked to sign a consent form (distributed through the Canadian Missions Abroad) to allow Statistics Canada to link to administrative files (T1 Family File – StatCan PPU 111), for the purposes of tracing.
Retention and Disposal Standards: Information is retained until it is no longer required for statistical purposes and then it is destroyed.

RDA Number: 2007/001
Related Record Number: StatCan SSD 040
TBS Registration: 005005
Bank Number: StatCan PPU 018

National Longitudinal Survey of Children and Youth
Description: This bank describes information collected on a sample of children across Canada every two years. The National Longitudinal Survey of Children and Youth was initiated in November/December 1994. Information on over 23,000 children was collected during this first collection. Up to two children in each household were chosen from the initial sample to participate in the longitudinal portion of the survey. It is the intention to follow these children until they are 25 years of age. Interviews were conducted with the most knowledgeable person in the household about these children, usually their mother. Children who were 10 and 11 years of age in this first collection were asked to complete a questionnaire themselves. Information was also collected from the child's teacher and principal, with the consent of the parent. Personal information may include name, contact information, and the following categories of information: demographics (such as age and sex), health of children, physical development, learning and behaviour and social environment (family, friends, schools and communities).
Class of Individuals: Children aged 0 to 11 in 1994-1995. For Cycles 2, 3, 4 and 5, a new sample of children aged 0-1 at the time of collection was added and followed in two subsequent cycles. As well, a cross-sectional sample of 5-year-olds was chosen to top up Cycles 3 and 4 and a sample of 0 to 5-year-olds was chosen to top up Cycle 6. In addition, a sample of kindergarten children has been selected periodically in a small number of communities as part of a related project.
Purpose: The primary objectives of the survey are to determine the prevalence of various biological, social and economic characteristics and risk factors in Canadian children and youth, to monitor the impact of such factors, life events and protective factors on these children's development. This provides information to policy and program officers for use in developing effective policies and strategies to help children to live healthy, active and rewarding lives. Personal information is collected under the authority of the Statistics Act (Sections 3, 7, 8).
Consistent Uses: With consent, information without names or other identifiers may be shared with Employment and Social Development Canada, as permitted under the provisions of Section 12 of the Statistics Act, for statistical and research purposes.
Retention and Disposal Standards: Information is retained until it is no longer required for statistical purposes and then it is destroyed.

RDA Number: 2007/001
Related Record Number: StatCan SSD 040
TBS Registration: 003635
Bank Number: StatCan PPU 014

Second Follow-up to the Ontario Child Health Study
Description: This bank describes information collected through the Ontario Child Health Study (OCHS), which is a longitudinal survey designed to evaluate the impact of early childhood on later adult health, quality of life and role functioning. In 1983 Statistics Canada, in conjunction with McMaster University, first collected information on a group of 3,294 Ontario children living in 1,869 families. Information was gathered on any children in the household between the ages of 4 and 16. A follow-up of respondents to the 1983 study was conducted in 1987. The second follow-up of the Ontario Child Health Study in 2000 and 2001 went back to these children, who were at the time between the ages of 21 and 33, in order to collect further information about them, their spouse/partner (if applicable) and any children they had. Respondents and their spouse/partners both completed questionnaires. Personal information may include the following categories of information: name, contact, demographics (such as age and sex), health, emotional well-being, education, employment and income.
Class of Individuals: Children aged 4 to 16 in 1983; 8 to 20 in 1987; and 21 to 33 in 2000-2001, their spouse/partner (if applicable) and their children (if applicable).
Purpose: The objective of the Second Follow-up to the Ontario Child Health Study was to link early childhood/adolescent experiences with early adult life, especially with respect to how well the respondent is performing in three major roles (worker, parent and partner), and how satisfied they were in these roles. This second follow-up of the OCHS, along with the previous studies, provided useful information for addressing many public health and developmental questions of interest to health researchers. Personal information is collected under the authority of the Statistics Act (Sections 3, 7, 8).
Consistent Uses: With consent, information without names or other identifiers may be shared with McMaster University, as permitted under the provisions of Section 12 of the Statistics Act, for statistical and research purposes.
Retention and Disposal Standards: Information is retained until it is no longer required for statistical purposes and then it is destroyed.

RDA Number: 2007/001
Related Record Number: StatCan SSD 040
TBS Registration: 005006
Bank Number: StatCan PPU 019

Self-Sufficiency Project
Description: This bank describes information on the selected recipients' marital status, labour market participation, education and training, child care requirements, and family and parenting concerns. Several interviews were conducted, one at the beginning of the program, and up to four follow-up interviews, the last taking place 72 months after the first for some participants. In addition to collecting a wide array of information about the selected participant, a follow-up survey gathered additional information on up to two children between the ages of 4 and 18 in each household. Depending on the age of the children, they were asked to complete a vocabulary test, a math test or a literacy skill assessment. Children between the ages of 10 and 18 were also asked to answer a self-complete questionnaire.
Class of Individuals: Income assistance recipients (and their children) in New Brunswick and British Columbia.
Purpose: The Self Sufficiency Project is a multi-year research demonstration designed to test the effectiveness of an earnings supplement to income assistance recipients who take jobs and agree to leave public assistance. Statistics Canada is responsible for data collection and creating analysis files for the study. Personal information is collected under the authority of the Statistics Act (Sections 3, 7, 8).
Consistent Uses: Respondents were asked to sign a consent form to allow Statistics Canada to link a variety of data sources, including administrative files held by the Canada Revenue Agency (T1 Family File – StatCan PPU 111), Employment and Social Development Canada and the provincial income assistance ministries. Respondents were asked for authorization to share this information with the research firm administering the project and affiliated researchers.
Retention and Disposal Standards: Information is retained until it is no longer required for statistical purposes and then it is destroyed.

RDA Number: 2007/001
Related Record Number: StatCan SSD 040
TBS Registration: 003214
Bank Number: StatCan PPU 026

Special Surveys
Description: This bank describes information collected through ad hoc surveys, which do not form part of the regular survey taking activity of the Agency. They cover a variety of socio-economic topics including health, housing, labour market, education and literacy, as well as demographic data. The information may include name, Social Insurance Number (SIN), address or telephone number.
Class of Individuals: Individuals selected to participate in the special surveys.
Purpose: The data are used by sponsoring agencies or Statistics Canada to either evaluate or benchmark existing socio-economic programs or to develop such programs. The data collected may be one time or a series of point-in-time measures. Personal information, including the Social Insurance Number, is collected under the authority of the Statistics Act (Sections 3, 7, 8) for statistical purposes.
Consistent Uses: Depending on the individual survey, data may be shared with other federal and provincial government departments and other incorporated bodies if Statistics Canada has entered into a data-sharing agreement under section 12 of the Statistics Act and the respondent has consented.
Retention and Disposal Standards: Information is retained until it is no longer required for statistical purposes and then it is destroyed.

RDA Number: 2007/001
Related Record Number: StatCan SSD 040
TBS Registration: 002189
Bank Number: StatCan PPU 016

Workplace and Employee Survey
Description: This bank describes information collected through the Workplace and Employee Survey, which was a longitudinal business survey designed to provide current information of events occurring in firms, their evolution over time, and the link between these developments and practices with worker outcomes. The survey annually collected information from about 8,000 employers and 25,000 employees for the reference years 1999 to 2006. The employer questionnaire covered workforce characteristics, hirings and separations, compensation and human resource practices, training, technology use, business strategy and innovation. The employee questionnaire covered job activities, promotions, hours, earnings, training, use of computers and other technologies, education and family characteristics.
Class of Individuals: Paid workers who receive a T4 from their current employer.
Purpose: The survey supports research and policy development with respect to labour adjustment programs, workplace practices, social programs and education. Personal information was collected under the authority of the Statistics Act (Sections 3, 7, 8).
Consistent Uses: None.
Retention and Disposal Standards: Information is retained until it is no longer required for statistical purposes and then it is destroyed.

RDA Number: 2007/001
Related Record Number: StatCan SSD 040
TBS Registration: 003899
Bank Number: StatCan PPU 140

Youth in Transition Survey
Description: This bank describes information collected on a sample of youth across Canada every two years, through the longitudinal Youth in Transition Survey. The survey was initiated in January and May 2000. Information on over 52,000 youth from two age cohorts (15-year-olds and 18 to 20-year-olds) was collected during the first collection. For the 15-year-olds, information was also collected from their parents. Personal information may include the following categories of information: name, contact, demographics (such as age and sex), educational and labour market experiences, achievement, aspirations and expectations, and employment experiences.
Class of Individuals: Youth born in 1979, 1980, 1981 and 1984.
Purpose: The personal information is used to produce policy-relevant information about school-work transitions and factors influencing education, training and work. Personal information is collected under the authority of the Statistics Act (Sections 3, 7, 8).
Consistent Uses: With consent, information without names or other identifiers may be shared with Employment and Social Development Canada, as permitted under the provisions of Section 12 of the Statistics Act, for statistical and research purposes.
Retention and Disposal Standards: Information is retained until it is no longer required for statistical purposes and then it is destroyed.

RDA Number: 2007/001
Related Record Number: StatCan SSD 040
TBS Registration: 075146
Bank Number: StatCan PPU 150

Statistical Infrastructure Services
Description: Includes records related to statistical infrastructure services (e.g., development of concepts, support for data collection and dissemination activities, provision of advice and technical assistance) offered on a cost-recovery basis to meet the needs of external clients such as other federal government departments.
Document Types: Operation and planning documents, decision records, communications material and correspondence, evaluation reports, maps, special tabulations, microdata files, statistical databases, project proposals, contracts and memoranda of understanding.
Record Number: StatCan SOP 610

6) Internal Services

Internal services constitute groups of related activities and resources that are administered to support the needs of programs and other corporate obligations of an organization. These groups are management and oversight services, communications services, legal services, human resources management services, financial management services, information management services, information technology services, real property services, material services, acquisition services, and travel and other administrative services. Internal services include only those activities and resources that apply across an organization and not to those provided specifically to a program.

Acquisition Services

Acquisition services involve activities undertaken to acquire a good or service to fulfill a properly completed request (including a complete and accurate definition of requirements and certification that funds are available) until entering into or amending a contract.

Procurement and Contracting Class of Record
- Professional Services Contracts Personal Information Bank

Communications Services

Communications services involve activities undertaken to ensure that Government of Canada communications are effectively managed, well-coordinated and responsive to the diverse information needs of the public. The communications management function ensures that the public—internal or external—receives government information, and that the views and concerns of the public are taken into account in the planning, management and evaluation of policies, programs, services and initiatives.

Communications Class of Record
- Internal Communications Personal Information Bank
- Public Communications Personal Information Bank

Financial Management Services

Financial management services involve activities undertaken to ensure the prudent use of public resources, including planning, budgeting, accounting, reporting, control and oversight, analysis, decision support and advice, and financial systems.

Financial Management Class of Record

Human Resources Management Services

Human resources management services involve activities undertaken for determining strategic direction, allocating resources among services and processes, as well as activities relating to analyzing exposure to risk and determining appropriate countermeasures. They ensure that the service operations and programs of the federal government comply with applicable laws, regulations, policies and plans.

Information Management Services

Information management services involve activities undertaken to achieve efficient and effective information management to support program and service delivery; foster informed decision making; facilitate accountability, transparency and collaboration; and preserve and ensure access to information and records for the benefit of present and future generations.

Information Technology Services

Information technology services involve activities undertaken to achieve efficient and effective use of information technology to support government priorities and program delivery, to increase productivity, and to enhance services to the public.

Information Technology Class of Record
- Electronic Network Monitoring Personal Information Bank

Legal services

Legal services involve activities undertaken to enable government departments and agencies to pursue policy, program and service delivery priorities and objectives within a legally sound framework.

Legal Services Class of Record

Management and Oversight Services
Management and oversight services involve activities undertaken for determining strategic direction and allocating resources among services and processes, as well as those activities related to analyzing exposure to risk and determining appropriate countermeasures. They ensure that the service operations and programs of the federal government comply with applicable laws, regulations, policies or plans.

Material Services

Material services involve activities undertaken to ensure that material can be managed by departments in a sustainable and financially responsible manner that supports the cost-effective and efficient delivery of government programs.

Material Management Class of Record
- Vehicle, Ship, Boat and Aircraft Accidents Personal Information Bank

Real Property Services

Real property services involve activities undertaken to ensure that real property is managed in a sustainable and financially responsible manner, throughout its life cycle, to support the cost-effective and efficient delivery of government programs.

Real Property Management Class of Record

Travel and Other Administrative Services

Travel and other administrative services include Government of Canada travel services, as well as those other internal services that do not smoothly fit with any of the internal services categories.

Classes of Personal Information

Business surveys

This class describes personal information used in support of Statistics Canada surveys that are intended for industrial and service sectors of the economy. The personal information collected and used relates to contact persons for the organizations, language, views and opinions of individuals, and, in the case of unincorporated businesses, financial and operational information. The personal information collected is not used for any administrative purposes that affect these individuals and is not organized or intended to be retrieved by name or other personal identifier. Retention of this personal information is one year after its last operational use and then it is destroyed.

Household surveys

This class describes personal information collected by Statistics Canada in support of various household surveys, in cases where no names or other personal identifiers are retained. The personal information collected is not used for any administrative purposes that affect these individuals and is not organized or intended to be retrieved by name or other personal identifier.

Manuals

Companion Guide to the Statistics Act
Interviewer Training Manuals
Public Use Microdata Files Documentation for Surveys
Security Practices Manual
Statistics Canada Policy Suite
Statistics Canada Quality Guidelines

Additional Information

The Government of Canada encourages the release of information through informal requests. You may wish to consult Statistics Canada's completed Access to Information (ATI) summaries. To make an informal request, contact infostats@statcan.gc.ca or phone 1-800-263-1136 or 613-951-8116 (TTY: 1-800-363-7629).

To make a formal request, mail your letter or Access to Information Request Form (Access to Information Act) or Personal Information Request Form (Privacy Act), along with any necessary documents (such as consent or the $5.00 application fee for a request under the Access to Information Act) to the following address:

Access to Information and Privacy Coordinator
Statistics Canada
100 Tunney's Pasture Driveway
Ottawa (Ontario) K1A 0T6

Please note: Each request made to Statistics Canada under the Access to Information Act must be accompanied by an application fee of $5.00, cheque or money order made payable to the Receiver General for Canada.

Statistics Canada conducts Privacy Impact Assessments (PIAs) to ensure that privacy implications will be appropriately identified, assessed and resolved before a new or substantially modified program or activity involving personal information is implemented. Summaries of completed PIAs are available online.
For additional information about the programs and activities of Statistics Canada, please visit Surveys and statistical programs by subject or contact infostats@statcan.gc.ca. For Statistics Canada data available through the Government of Canada Open Data Portal, please consult the Open Government website.

Reading Room

In accordance with the Access to Information Act and the Privacy Act, the applicant may wish to review material in person. The address is:

R.H. Coats Building, 2nd Floor
100 Tunney's Pasture Driveway
Ottawa (Ontario) K1A 0T6

Data Visualization: An introduction

Catalogue number: 892000062020014

Release date: September 23, 2020 Updated: December 21, 2022

This video addresses the data visualization competency. By the end of this video, you should have a deeper understanding of data visualization and how it can be used to present data in an interesting and aesthetically pleasing way.

We will go over when it should be used, and give you some examples of the different types of data visualization techniques that exist.

Data journey step

Tell the Story

Data competency

Data visualisation
Storytelling

Audience

Basic

Suggested prerequisites

N/A

Length

10:54

Cost

Free

Watch the video

Data Visualization: An introduction - Transcript

(The Statistics Canada symbol and Canada wordmark appear on screen with the title: "Data Visualization: An introduction")

Data Visualization: An introduction

Welcome to part one of a multi part series on data visualization. This video will provide an introductory overview of data visualization, and how to use it to tell your story.

Learning goals

This video addresses the data visualization competency. By the end of this video, you should have a deeper understanding of data visualization, and how it can be used to present data in an interesting and aesthetically pleasing way.

We will go over when it should be used, and we will give you some examples of the different types of data visualization techniques that exist.

Steps of the data journey

This diagram is a visual representation of the data journey. From collecting the data to cleaning, exploring, describing and understanding the data, to analyzing the data and lastly to communicating with others the story the data tell.

Step 4: Tell the story

Data visualization can occur at different steps of the data journey, depending on what you're using it for. In this video, we'll be focusing primarily on how to present data in a way that helps tell the story.

Data Visualization

(Diagram of the Steps of the data journey: Step 1 - define, find, gather; Step 2 - explore, clean, describe; Step 3 - analyze, model; Step 4 - tell the story. The data journey is supported by a foundation of stewardship, metadata, standards and quality.)

Data visualization is the graphical representation of information and data. It is a combination of art and science as it uses tools such as charts, graphs and maps to make trends and patterns that might be hidden in a large data set much easier to understand.

Why use data visualization?

But how does data visualization make trends and patterns easier to understand?

Vision is such an important part of how we experience the world. Perhaps because it's how we've always survived. How we've found food, avoided threats, created art that preserves our culture and histories. And since the brain absorbs and processes visual information faster than any other stimuli, presenting information through graphics can be incredibly effective.

So it only makes sense that as technology has evolved, so would the way we present information we're trying to share with the world.

Presenting data

(4 images where, starting from the left, an apple pie, cherry pie, blueberry pie and "other" pie are sorted with a squinting face with tongue out emoji as a 5th image on the far right.)

For example, think about the following question: What is the most popular kind of pie? If you really wanted to know the most popular type of pie in your hometown, you might decide to conduct a survey.

This survey would ask everyone in town what kind of pie is their favourite. Apple? Cherry? Blueberry? Some other flavour? And finally, an option for people who really just don't like pie at all. Once you've acquired your data, there's several ways to communicate the results.

Option 1: Text

The first option is text. You could consider creating a written report describing the figures that read something like "of the 100 people surveyed, 40 preferred apple pie. 30 preferred blueberry and 20 preferred cherry. Additionally, five people chose a flavor other than those in the list, and five said they didn't like pie at all."

Option 2: Table

(Image of a table where the left and right columns lists the different pie flavours and the count of respondents preferring said flavour, respectively: "apple = 40";"bleuberry = 30";"Cherry = 20";"Other = 5";"I don't like pie = 5";"Total = 100".)

In this situation, where we're just trying to find out the most popular pie flavor. We might decide that reading a full analysis of the results is unnecessary.

This is where the option to receive the exact same results in a table, could be preferable. When reading a table, it's all about the numbers. Here we can clearly see that most people prefer apple pie without having to take the time to read through a lot of text.

So, a good thing to note here is that when you're trying to compare more than two numbers, you will probably want to look into presenting your data in a more visual way, rather than textual.

Option 3: Visual

(A series of images with 4 apple pies; 3 bleuberry pies; 2 cherry pies & half a pie for those who like other pies and the other half for those who do not like pies.)

A third way to present the results of our pie survey is without many words or numbers at all. Option three is where data visualization comes in. From this picture it's instantly clear that apple pie is the most popular.

Types of data visualization

(Simplified image of a series of different types of data visualizations: (left) Graphics; Charts; Maps; Tables; Pictographs; Infographics; Dashboards (Right).)

There are many different ways of presenting data visually, such as, graphs, charts, maps, tables pictographs, infographs and dashboards. On the next few slides will look at what each one is best at showing.

Scatter plot

(Text on screen: Showing relationship between two things)

(Image of a Scatter plot on display with the titltle on top:"Total revenue from of ice-cream sales, 2019 ($CAD)".The vertical(y) and horizontal(x) axis represent the proportion of the revenue ($CAN) and temperture (Celsius), respectively.)

A scatter plot is great for showing the relationship between two values. In this graph we can clearly see the relationship between temperature on the horizontal axis and ice cream sales on the vertical axis. We can see how ice cream revenues increased with increasing temperatures.

Line graph

(Text on screen: Showing trends through time)

(Image of a line graph on display with the titltle on top:"Canada's official poverty line".The vertical(y) and horizontal(x) axis represent the proportion of the population (%) and year (year), respectively.)

A line graph is a good way to show how something changes over time. This one shows how Canada's official poverty line has been declining in recent years from 12.1% in 2015 to 8.7% in 2018.

Bar Chart

(Text on screen: Showing a comparison between several things)

(Image of a bar chart on display with the titltle on top:"Cannabis use in the past three months by age, Canada - Fourth quarter 2019".The vertical(y) and horizontal(x) axis represent the proportion of cannabis users (%) and age group (year), respectively. The left most bar to the right most bar, represent the age groups: "15 to 24"; "25 to 34"; "35 to 44"; "45 to 54"; "55 to 64" and "65 and over".)

A bar chart is better when you want to compare different groups of things. Here we compare the use of cannabis among Canadians by age group. The chart clearly shows that cannabis use is higher among those in the younger age groups compared with older age groups.

Pie chart

(Text on screen: Showing the composition of a whole)

(Image of a circular pie chart tittled on the top: Six provinces cultivated "vinifera and french hybrid" grapes for winemaking in 2018. The pie chart is composed of 3 asymetric slices.)

A pie chart is the perfect tool for showing the composition of a whole, or the distribution of something. Here, we see that in 2018 Ontario produced more grapes for winemaking than all the other provinces combined.

Maps

(Text on Screen: Putting data into geographical context)

(Image of the map of Canada where each province has a different gradient of bleu representing the unemployment rate where the darker bleus represent a higher unemployment rate in percentage points. Dark regions are areas with no data.)

Here is an example of a map being used as data visualization. It shows how the job vacancy rate differs across provinces. The job vacancy rate for each province in Canada is indicated by the shading on the map.

Tables

(Text on Screen: Used to show many categories, and provide more detail and precision than many other data visualization methods)

(Image of a table where the left most column represents the age group; the middle and right major columns represent "All families with children" and "Total children in all families", respectively. Both major columns contain sub columns representing the years 2015; 2016 and 2017.)

Tables are used to show many categories and provide more detail and precision than many other data visualization methods. In this table we see the number of families with children compared to the total number of children in all families for different age ranges of children.

Pictographs

(Text on Screen: Simple but instantly interpretable)

((Reuse of the pie survey) A series of images with 4 apple pies; 3 bleuberry pies; 2 cherry pies & half a pie for those who like other pies and the other half for those who do not like pies.)

This data visualization from the pie example is a pictograph. A pictograph is the representation of data using images. This is one of the simplest ways to represent statistical data. The popularity of different kinds of pie is represented by the number of pies. In this pictograph, each pie represents 10 individuals. While a pictograph has very low precision, our brains interpret the message instantly.

Infographics

(Text on Screen: Used to tell a comprehensive data story)

(An image containing an infograph Titled: "Family matters - information on the splitting of householde tasks. Who does what ?". Infograph contains facts and conclusions on the subject mater.)

An infographic is several data visualizations put together to tell a more comprehensive data story. Typically, an infographic portrays the state of something at a particular point in time. Like a poster.

In this example, several data points are put together to tell a story about who does the chores in a family. From this infographic we learn that some chores are done equally by men and women, like dishes, shopping and organizing the social life. While laundry and meal prep are more likely to be done by women, outdoor work is most likely done by men.

Finally, the infographic reveals that the distribution of tasks depends on who's in the labor force at the time.

Dashboards

(Text on Screen: Used to inform business decisions and are updated at regular intervals)

(An image containing a dashboard where tables, charts and graphics to display several issues related to human resources)

A dashboard is several data visualizations put together, often to inform business decisions. Dashboards are usually updated regularly and show changes over time. The colour, size, and position of the individual graphics are used strategically to focus attention on different aspects.

This dashboard for example uses tables, charts and graphics to display information to manage human resources.

How to choose the right visualization

The right visualization depends on several factors.

What type of data do you have? Are their relationships in the data? Or are they changing over time? Are you making comparisons or showing the composition of something? And who's your audience? What story do you want to tell them? Are differences by geographic region important to them? How much precision do they want or need? Is your audience making business decisions based on the information you're sharing? Or, is it simply to inform?

On the previous slides you saw some different types of data visualizations and what each one can be used for.

Recap of Key points

(Text on Screen: Data visualization is the graphical representation of information and data.; Vision is an important part of how we experience the world.; There are many different ways of presenting data visually.)

In this video, you learned that data visualization is the graphical representation of information and data.

A picture truly is worth 1000 words. Just make sure you choose the right picture to accurately represent your data and effectively get your message across. Watch for more videos in this series featuring good practices for data visualization.

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The Data Journey: What you need to know for successful navigation

Catalogue number: 892000062020007

Release date: September 23, 2020 Updated: October 22, 2021

In this video you will learn about the steps and activities in the data journey, as well as the foundation supporting it.

No previous knowledge is required. The data journey represents the key stages of the data process. The journey is not necessarily linear. It is intended to represent the different steps and activities that could be undertaken to produce meaningful information from data. Not everyone who uses data will do all of these steps.

No previous knowledge is necessary.

Data journey step

Foundation

Data competency

Data discovery
Data management and organization

Audience

Basic

Suggested prerequisites

N/A

Length

04:37

Cost

Free

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The Data Journey: What you need to know for successful navigation - Transcript

(The Statistics Canada symbol and Canada wordmark appear on screen with the title: "The Data Journey: What you need to know for successful navigation")

Data 101: Data Journey

The training videos in this series are organized around a data journey. This video tells you what you need to know for successful navigation.

Learning goals

In this video you'll learn about the steps and activities in the data journey as well as the foundation supporting it.

No previous knowledge is required.

Steps of a data journey

The data journey represents the key stages of the data process. The journey is not necessarily linear. It is intended to represent the different steps and activities that could be undertaken to produce meaningful information from data.

Not everyone who uses data will do all of these steps, for example. You might already have gathered and cleaned data ready for analysis. Therefore you might only need to do the last two steps.

Step 1: Define, find and gather

(Diagram of the Steps of the data journey with an emphasis on "Define, find, gather".)

(Text on screen: Showing relationship between two things)

The first step is to define the question you need to answer or data gap you need to fill. Next is to find the right data to answer that question, or fill that data gap. If such data doesn't exist, you may need to figure out a way to gather it, like through a new survey, for example. In this first step you will use one or more of the following competencies: data discover, data gathering and/or data management and organization.

Step 2: Explore, clean and describe

(Diagram of the Steps of the data journey with an emphasis on "Explore, clean, describe".)

Once you have defined the need and found the data, the next thing is to get to know it. If you're already familiar with the data, then you might know what to expect. On the other hand, if the data is new to you, then you should spend some time exploring the formats variables and looking for errors and missing values. It may be necessary to clean the data before using it for analysis. It is important to document what you found and what you did to clean the data.

The product at the end of this step is data ready for analysis. In this step you will use one or more of the following competencies: data cleaning and or data exploration.

Step 3: Analyse and model

(Diagram of the Steps of the data journey with an emphasis on "Analyze, model".)

If you were doing analysis to describe a phenomenon, draw conclusions about a population or make predictions about future events, then your data journey continues. The purpose of doing analysis and modeling is to use statistical techniques to turn the data into information to provide meaningful insights that address your previously determined information needs. In this step, you'll use one or more of the following competencies: data analysis, data modeling and/or evaluating decisions based on data.

Step 4: Tell the story

(Diagram of the Steps of the data journey with an emphasis on "Tell the story".)

The statistical information that comes from analysis and modeling is easier to digest if it is presented in some sort of story. It could be a research paper, an infographic, a briefing for management, or some combination of these and other data presentation methods. In this step, you'll use one or more of the following competencies: data interpretation, data visualization and/or storytelling.

Build your data journey on a solid foundation

(Diagram of the Steps of the data journey. The data journey is supported by a foundation of stewardship, metadata, standards and quality.)

In order to successfully follow the steps of the data journey, it is essential to build your work on a solid foundation of stewardship, metadata, standards and quality.

Stewardship encompases all activities to govern, safeguard and protect data.

Metadata should describe all the processing and manipulation that the data has undergone.

Standard methods, practices and classifications should be applied throughout.

Quality should be proactively managed throughout the process and relevant quality indicators should accompany all deliverables.

Recap of key points

The data journey steps are: defined, find, gather; explore clean, describe; analyzing, model, and tell the story. Not everyone who uses data will do all these steps themselves. For example, you might get already gathered and clean data ready for analysis. The data journey is supported throughout by a foundation of stewardship, metadata, standards and quality.

Further learning

You are welcome to watch the videos in any order you choose. If you're not sure where to go next, we recommend Types of Data and Gathering Data.

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Types of Data: Understanding and exploring data

Catalogue number: 892000062020004

Release date: September 23, 2020 Updated: November 25, 2021

In this video, you will learn about data and statistical information, and explore the different types of data. After watching this video, you will be able to identify categorical and quantitative data, nominal and ordinal data, and discrete and continuous data.

Data journey step: Explore, clean, describe
Data competency: Data gathering
Audience: Basic
Suggested prerequisites: N/A
Length: 10:58
Cost: Free

Watch the video

Types of Data: Understanding and exploring data - Transcript

(The Statistics Canada symbol and Canada wordmark appear on screen with the title: "Data types")

Types of data: Understanding and exploring data

It's important to define the different types of data and understand them in order to choose the appropriate method for analyzing data and presenting the results.

Learning goals

In this video, you will learn about data and statistical information, and explore the different types of data. After completing this video, you will be able to identify categorical and quantitative data, nominal and ordinal data, and discrete and continuous data. This video is intended for learners who want to acquire a basic understanding of data's concepts and types.

Steps of a data journey

This diagram is a visual representation of the data journey from collecting the data to cleaning, exploring, describing and understanding the data to analyzing the data, and Lastly to communicating with others the story the data tell.

Step 2: Explore, clean and describe

(Diagram of the Steps of the data journey with an emphasis on Step 2 - explore, clean, describe.)

Exploring the different types of data is part of the explore, clean and describe step of the data journey. Understanding the various data types will help with the analyze and model steps.

Difference between data and statistical information: Data

Data are the raw material for making information. It can be, for example, in the form of numbers, texts, observations, or recordings. Data can be structured, meaning that they are organized into predefined categories or concepts such as lists, tables, datasets, databases or spreadsheets.

Data can also be unstructured, which means they're not organized. Unstructured data need to be processed or parsed to become structured before any further work can be done on them.

A paragraph of text is an example of unstructured data, since the main ideas have to be extracted or the phrases have to be parsed into smaller segments to use the text as data.

Satellite images are another example of unstructured data. The images have to be interpreted, encoded, such as type of crop or type of building.

Difference between data and statistical information: Statistical information

When we apply statistical methods to data, we produce statistical information such as means, totals, ratios, percentiles, frequency distributions, and parameter estimates. Data have meaning and value, but they're difficult to identify. Statistical methods are a way of summarizing the data so that the meaning becomes clear.

Turning data into statistical information

Statistical methods are applied to data to derive meaning or find relationships. The end product is statistical information which is interpreted and used to increase knowledge about the topic in question.

Data types

(Image of a tree diagram of the different types of data. the root of the tree diagram is "data" that branches out into "categorical"and "quantitative" data. Categorical data branches out into "nominal" and "ordinal" categorical data. Quantitative data branches out into "discrete" and "continuous" quantitative data.)

Data can be divided into 2 main categories. Categorical and quantitative. Categorical data can be further subdivided into nominal and ordinal data. Quantitative data can be discrete or continuous and are also known as numerical data. These concepts are explored further in the next few slides.

Categorical data

Categorical data represent characteristics such as gender languages, spoken type of diseases or clothing sizes.

For example, the languages spoken by a particular person could be French, English, German and Spanish. The categories are referred to as classes or classifications. Every possible value for a characteristic should be in one and only one category.

Categorical data: Nominal

When the categories have no inherent order, the data are called nominal. The data values in this situation are labels.

Examples of categories are types of diseases or languages spoken. Nominal data can be analyzed in summarized using frequencies, proportions, percentages, cross tabulations, and the mode, and they can be visualized using pie charts and bar graphs.

Categorical data: Ordinal

Ordinal values represent categorical data that can be ordered. Ordinal data are very similar to nominal data, but as the name implies, order is important. The categories follow some logical order such as size is categorized as small, medium and large. Similarly to nominal data, ordinal data can be analyzed, summarized and visualized. However, ordinal data can also be described using percentiles, medians and modes. If the ordinal data are numeric, interquartile ranges can also be used.

For example, you could look at the interquartile range of exam scores that are in percentages and arranged from lowest to highest, but it would not make any sense to try to find the interquartile range of clothing sizes that go from extra small to extra large. For an example of when to use interquartile range, check out the video on exploring measures of dispersion.

Quantitative data

Quantitative data, also called numerical data, can be either discrete or continuous. When the data values are distinct and separate, and they can take on certain values only, they're called discrete data. Discrete data can be only counted, not measured.

For example, the number of sheep on a farm. continuous data, on the other hand, represent measurements, not counts. Continuous data can take on an infinite number of values, but for practical reasons continuous data are measured using a discrete scale. Distance is an example of continuous data. It is continuous and that you could keep adding or removing small and the distance would change. However, centimeters or kilometers are used to measure distance on a discrete scale.

Exemple: How old are the people in a community ?

Let's look at an example of working with different types of data. Let's say we want to know how old the people in a community are so that we can plan appropriate services and activities for them. In our example we have the birth dates of the people in a particular community. Because time can be divided in an infinite number of ways, for example, every second or millisecond it is a continuous variable. However, for practical reasons, a hospital usually records the year, month, day, hour and minute of birth. For administrative purposes, we usually just report the year, month and day of birth, which means we're using a discrete representation of a continuous variable. To determine someone's age from their date of birth, we calculate the time between the current date and their date of birth. For convenience sake, let's round their age to the nearest year, which is also a discrete value.

If our community is very small, we could look at all the ages on a list and be able to interpret them. However, if there are a lot of people, it would be very hard to look at a list of ages and say anything meaningful about them, especially if they were in no particular order. When converting age data into statistical information, it's common practice to group the ages into categories. Let's use ranges of 10 years for our example. Now the data are ordinal because there is a particular order to the age categories.

Exemple: How old are the people in a community ?

(Image of a table where the left column called "Age category" representing the different age groups and the right column represents the "count of people". The following is the table content:

0 to 10 years: 5
11 to 20 years: 12
21 to 30 years: 25
31 to 40 years: 30
41 to 50 years: 23
51 to 60 years: 14
61 to 70 years: 3
71 to 80 years: 0
81 years and older: 0)

Let's use the same example. Now that we have age categories, we want to know how many people are in each category. The statistical method we apply to the ordinal data produces a frequency distribution which is shown in the table on the right. Now it becomes quite clear that the community is relatively young. This table is statistical information that can be used by community planners and organizers to plan services and activities that are age appropriate for the community members. It's much easier to interpret the statistical information in this table than it would be to interpret a long list of birth dates.

Quantitative data: Be careful with Zero

There's one very important value to be careful with, in quantitative data. The value of 0, sometimes 0, means there is none of something. For example, zero apples means there are no apples. Sometimes 0 does mean something. For example, zero degrees Celsius means it's cold outside, not that there is no temperature. In some cases, negative values are valid. For example, if I have -$5, it means I owe $5. However, sometimes negative values are not valid. For example, there can't be minus five sheep on a farm. Be mindful of the meaning of 0 when working with quantitative data.

Quantitative data: Basic statistics

There are many basic statistics that can be used with Quantitative data. In fact, all of the basic statistics shown on this slide can be used in a meaningful way with quantitative data.

(Text on screen: Basic statistics include counts, ranks, means, totals and varainces. Other basic statistics include: Proportions, frequencies and cross-tabulations; mode, median, ranks and percentiles; means totals and variances.)

Data types

Remember that data can be categorical or quantitative. Categorical data can be nominal, labels only, or ordinal, having a particular order. Quantitative data can be discreet things we count or continuous, which are things we measure. The next slide provides examples of different types of data and you will have to determine the data type: nominal, ordinal, discrete or continuous.

Guided practice: What is the data type ?

Pause the video here and take the time you need to determine whether each example is nominal, ordinal, discrete or continuous. Continue to play the video to see the answers.

(Image on screen where 4 different examples need to be answered: 1) Names of instruments in an orchestra; 2) Temperature outside right now; 3) Number of pounds gained over the holidays; 4) Rank in a household based on age.)

Do you agree with our suggestions ?

The names of instruments in an orchestra are categorical, nominal data because they can be in any order. Although violin players would probably say they should come first.

Temperature is quantitative continuous data because it can be measured in small increments. We use degrees Celsius for convenience.

Number 3 is a trick question. Weight is measured in pounds in kilograms, which are continuous, but the question asked for the number of pounds gained, which is a count, meaning that these are quantitative discrete data.

Lastly, a person's rank in a household by age is categorical ordinal data because rank by age means putting households in order from youngest to oldest. How did you do?

Summary of key points

Data can be in the form of numbers, texts, observations or recordings. Statistical methods are applied to data to produce statistical information. Data can be nominal, which are categories, or ordinal which are categories in a particular order. Numerical or quantitative data can be continuous, in which case we need to take measurements or discrete, in which case we need to count. We also learned to be careful of the value of zero, which could mean different things depending on the nature of the data.

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Date modified:: 2024-11-29