Labour input by activity, ISIC rev4 - SNA_TABLE7A_ARCHIVE

Data - OECD

Author

Code

load_data("oecd/SNA_TABLE7A_ARCHIVE_var.RData")
SNA_TABLE7A_ARCHIVE <- read_parquet("SNA_TABLE7A_ARCHIVE.parquet")

Info

Last observation: A: 2018 (N = 2172)

First observation: A: 1950 (N = 389)

Last data update: 02 aoû 2026, 09:11. Last compile: 18 aoû 2026, 03:08

Structure

Nobs - Javascript

Code

SNA_TABLE7A_ARCHIVE |>
  left_join(SNA_TABLE7A_ARCHIVE_var |> pluck("TRANSACT"), by = c("TRANSACT" = "id")) |>
  rename(`TRANSACT Description` = label) |>
  left_join(SNA_TABLE7A_ARCHIVE_var |> pluck("ACTIVITY"), by = c("ACTIVITY" = "id")) |>
  rename(`ACTIVITY Description` = label) |>
  group_by(TRANSACT, `TRANSACT Description`, ACTIVITY, `ACTIVITY Description`, MEASURE,) |>
  summarise(nobs = n()) |>
  arrange(-nobs) %>%
  {if (is_html_output()) datatable(., filter = 'top', rownames = F) else .}

Data Structure

Code

SNA_TABLE7A_ARCHIVE_var$VAR_DESC %>%
  {if (is_html_output()) print_table(.) else .}

id	description
LOCATION	Country
TRANSACT	Transaction
ACTIVITY	Activity
MEASURE	Measure
TIME	Year
OBS_VALUE	Observation Value
TIME_FORMAT	Time Format
OBS_STATUS	Observation Status
UNIT	Unit
POWERCODE	Unit multiplier
REFERENCEPERIOD	Reference period

TRANSACT

Code

SNA_TABLE7A_ARCHIVE_var$TRANSACT %>%
  {if (is_html_output()) print_table(.) else .}

id	label
ETOA	Total employment
LAB4	7A--Labour input by activity, ISIC rev4
EEMA	Employees
ESEA	Self-employed
POPNC	Total population, national concept

ACTIVITY

Code

SNA_TABLE7A_ARCHIVE_var$ACTIVITY %>%
  {if (is_html_output()) datatable(., filter = 'top', rownames = F) else .}

MEASURE

Code

SNA_TABLE7A_ARCHIVE_var$MEASURE %>%
  {if (is_html_output()) print_table(.) else .}

id	label
PER	Persons
FTE	Full-time equivalents
JOB	Jobs
HRS	Hours

Ex 1: Manufacturing Employment

Code

SNA_TABLE7A_ARCHIVE |>
  filter(TRANSACT == "ETOA",
         ACTIVITY == "VC",
         MEASURE == "PER") |>
  arrange(LOCATION, obsTime) |>
  left_join(SNA_TABLE7A_ARCHIVE_var$LOCATION |> rename(LOCATION = id), by = "LOCATION") |>
  group_by(LOCATION_desc = label) |>
  summarise(Year1 = first(obsTime),
            Year2 = last(obsTime),
            Value1 = first(obsValue) |> round(),
            Value2 = last(obsValue) |> round()) %>%
  {if (is_html_output()) datatable(., filter = 'top', rownames = F) else .}