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This article is aim to help identify the codes of tables and series on the INE website that are necessary to perform data queries.

Obtaining the identification code of a table

When browsing to a table, there are three possible cases when it comes to identifying its ID.

REMARK: The id of a table is unique and immutable, no matter what variables/values have been selected in the table.

Case one

library(ineapir)
# Request table data with id = 50902
table <- get_data_table(idTable = 50902, nlast = 1, unnest = TRUE)
table[1:2,c("Nombre", "FK_Periodo", "Anyo", "Valor")]
#>                                                Nombre FK_Periodo Anyo   Valor
#> 1            Total Nacional. Índice general. Índice.           5 2024 115.776
#> 2 Total Nacional. Índice general. Variación mensual.           5 2024   0.300

Case two (pc-axis file)

# Request table data with id = t20/e245/p08/l0/01001.px
table <- get_data_table(idTable = "t20/e245/p08/l0/01001.px", nlast = 1, unnest = TRUE)
head(table, 3)
#>                             Nombre NombrePeriodo    Valor Secreto
#> 1 TOTAL EDADES, TOTAL, Ambos sexos          2022 47475420   FALSE
#> 2     TOTAL EDADES, TOTAL, Hombres          2022 23265381   FALSE
#> 3     TOTAL EDADES, TOTAL, Mujeres          2022 24210039   FALSE

Case three (tpx file)

# Request table data with id = 33387
table <- get_data_table(idTable = 33387, nlast = 1, unnest = TRUE)
head(table, 3)
#>                     Nombre NombrePeriodo     Valor Secreto
#> 1      EXTRACCION NACIONAL 2022 (avance) 350342661   FALSE
#> 2              1.  Biomasa 2022 (avance) 117875849   FALSE
#> 3 1.1.  Cultivos primarios 2022 (avance)  60300741   FALSE

Obtaining the identification code of a series

The tables introduced in cases two and three not include temporal series. Only tables from case one contain temporal series. In order to obtain the identification code of a series it is necessary to carry out a number of steps.

  1. Browse to a table containing the series of interest.
  2. Make the selection of values in the table and perform the query.
  3. Click on the corresponding value cell.
  4. The pop-up window shows, among other information, the identification code of the series associated with the cell that was clicked on.

# Request series data with code = IPC251856
serie <- get_data_series(codSeries = "IPC251856", unnest = TRUE)
serie[1,c("Nombre", "FK_Periodo", "Anyo", "Valor")]
#>                                              Nombre FK_Periodo Anyo Valor
#> 1 Total Nacional. Índice general. Variación anual.           5 2024   3.6