Getting started with the cansim package



The cansim package provides R bindings to Statistics Canada’s main socioeconomic time series database, previously known as (and frequently referred to in this package, and elsewhere, as) CANSIM. Data can be accessed by table number, vector or both table number and coordinate. The package accepts both old and new (NDM) CANSIM table catalogue numbers.

Installing cansim

The cansim package is available on CRAN and can be installed directly using the default package installation process:


Alternatively, the latest development version of the package can be downloaded from Github using the devtools or remotes packages.

# install.packages("remotes")



If you know the data table catalogue number you are interested in, use get_cansim to download the entire table.

data <- get_cansim("14-10-0293")
#> Accessing CANSIM NDM product 14-10-0293 from Statistics Canada
#> Parsing data
#> # A tibble: 6 × 24
#>   <chr>    <chr>  <chr>   <chr> <chr>  <chr>         <chr>     <chr>  <chr>     
#> 1 2001-03  Canada 2016A0… Pers… 249    thousands     3         v9141… 1.1.1     
#> 2 2001-03  Canada 2016A0… Pers… 249    thousands     3         v9141… 1.2.1     
#> 3 2001-03  Canada 2016A0… Pers… 249    thousands     3         v1018… 1.2.2     
#> 4 2001-03  Canada 2016A0… Pers… 249    thousands     3         v1018… 1.2.3     
#> 5 2001-03  Canada 2016A0… Pers… 249    thousands     3         v9141… 1.3.1     
#> 6 2001-03  Canada 2016A0… Pers… 249    thousands     3         v1018… 1.3.2     
#> # ℹ 15 more variables: VALUE <dbl>, STATUS <chr>, SYMBOL <chr>,
#> #   TERMINATED <chr>, DECIMALS <chr>, GeoUID <chr>, `Hierarchy for GEO` <chr>,
#> #   `Classification Code for Labour force characteristics` <chr>,
#> #   `Hierarchy for Labour force characteristics` <chr>,
#> #   `Classification Code for Statistics` <chr>,
#> #   `Hierarchy for Statistics` <chr>, val_norm <dbl>, Date <date>,
#> #   `Labour force characteristics` <fct>, Statistics <fct>

By default, the data tables retrieved by the package comes in the original format provided by Statistics Canada and is enriched by several added columns and transformations.

Taking a look at an overview of the data within a table is a common first step. This is implemented in the package with the get_cansim_table_overview(table_number) function.

#> Labour force characteristics by economic region, three-month moving average, unadjusted for seasonality, last 5 months, inactive
#> CANSIM Table 14-10-0293
#> Start Reference Period: 2001-03-01, End Reference Period: 2020-12-01, Frequency: Monthly
#> Column Geography (76)
#> Newfoundland and Labrador, Prince Edward Island, Nova Scotia, New Brunswick, Quebec, Ontario, Manitoba, Saskatchewan, Alberta, British Columbia, ...
#> Column Labour force characteristics (10)
#> Labour force, Not in labour force, Employment, Unemployment, Full-time employment, Part-time employment, Population, Unemployment rate, Participation rate, Employment rate
#> Column Statistics (3)
#> Estimate, Standard error of estimate, Standard error of year-over-year change

When a table number is unknown, you can browse the available tables or search by survey name, keyword or title.

search_cansim_cubes("housing price indexes")
#> Retrieving cube information from StatCan servers...
#> # A tibble: 2 × 19
#>   cansim_table_number cubeTitleEn   cubeTitleFr productId cansimId cubeStartDate
#>   <chr>               <chr>         <chr>       <chr>     <chr>    <date>       
#> 1 18-10-0073          New housing … Indices de… 18100073  327-0005 1981-01-01   
#> 2 18-10-0095          New housing … Indices de… 18100095  327-0029 1981-01-01   
#> # ℹ 13 more variables: cubeEndDate <date>, releaseTime <dttm>, archived <lgl>,
#> #   subjectCode <chr>, surveyCode <chr>, frequencyCode <chr>,
#> #   corrections <chr>, dimensionNameEn <chr>, dimensionNameFr <chr>,
#> #   surveyEn <chr>, surveyFr <chr>, subjectEn <chr>, subjectFr <chr>

Individual series in Statistics Canada data tables can also be accessed by using individual numbered vectors. This is especially useful when building reports using specific indicators. For convenience, the cansim package allows users to specify named vectors, where the label field will be added to the returned data frame containing the specified name for each vector.

get_cansim_vector(c("Metro Van Apartment Construction Price Index"="v44176267",
                    "Metro Van CPI"="v41692930"),
                  start_time = "2015-05-01",
#> Accessing CANSIM NDM vectors from Statistics Canada
#> # A tibble: 5 × 12
#>      <int> <dbl> <chr>     <chr>        <int>         <int>     <int> <chr>     
#> 1        1  122. 2015-05-… 2021-07-28…      0             6         0…
#> 2        1  122. 2015-06-… 2021-07-28…      0             6         0…
#> 3        1  122. 2015-07-… 2021-07-28…      0             6         0…
#> 4        1  123. 2015-08-… 2021-07-28…      0             6         0…
#> 5        1  153  2015-07-… 2015-11-10…      0             9         0…
#> # ℹ 4 more variables: VECTOR <chr>, label <chr>, val_norm <dbl>, Date <date>


The code in this package is licensed under the MIT license. The bundled table metadata in Sysdata.R, as well as all Statistics Canada data retrieved using this package is made available under the Statistics Canada Open Licence Agreement, a copy of which is included in the R folder. The Statistics Canada Open Licence Agreement requires that:

Subject to this agreement, Statistics Canada grants you a worldwide, royalty-free, non-exclusive licence to:

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Acknowledgment of Source

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