Labour cost levels by NACE Rev. 2 activity - lc_ncost_r2

Data - Eurostat

Author

François Geerolf

Info

LAST_DOWNLOAD

Code 
tibble(LAST_DOWNLOAD = as.Date(file.info("~/Library/Mobile\ Documents/com~apple~CloudDocs/website/data/eurostat/lc_ncost_r2.RData")$mtime)) %>%
  print_table_conditional()
LAST_DOWNLOAD
2024-11-05

LAST_COMPILE

LAST_COMPILE
2024-11-05

Last

Code 
lc_ncost_r2 %>%
  group_by(time) %>%
  summarise(Nobs = n()) %>%
  arrange(desc(time)) %>%
  head(1) %>%
  print_table_conditional()
time Nobs
2020 972894

lcstruct

Code 
lc_ncost_r2 %>%
  left_join(lcstruct, by = "lcstruct") %>%
  group_by(lcstruct, Lcstruct) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  print_table_conditional()
lcstruct Lcstruct Nobs
D01 Total labour costs (excluding apprentices) 1391324
D111 Wages and salaries (excluding apprentices) 1389463
D1111 Direct remuneration, bonuses and allowances 1389376

sizeclas

Code 
lc_ncost_r2 %>%
  left_join(sizeclas, by = "sizeclas") %>%
  group_by(sizeclas, Sizeclas) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  print_table_conditional()
sizeclas Sizeclas Nobs
GE10 10 employees or more 639045
10-49 From 10 to 49 employees 625993
50-249 From 50 to 249 employees 617415
250-499 From 250 to 499 employees 557684
500-999 From 500 to 999 employees 515240
GE1000 1 000 employees or more 487616
TOTAL Total 381204
LT10 Fewer than 10 employees 345966

nace_r2

Code 
lc_ncost_r2 %>%
  left_join(nace_r2, by = "nace_r2") %>%
  group_by(nace_r2, Nace_r2) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  print_table_conditional()

unit

Code 
lc_ncost_r2 %>%
  left_join(unit, by = "unit") %>%
  group_by(unit, Unit) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  print_table_conditional()
unit Unit Nobs
TOTAL Total 1106059
P_SAL_M Per employee in full-time equivalents, per month 1022271
P_SAL_Y Per employee in full-time equivalents, per year 1022271
P_SAL_H Per employee in full-time equivalents, per hour 1019562

geo

Code 
lc_ncost_r2 %>%
  left_join(geo, by = "geo") %>%
  group_by(geo, Geo) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  mutate(Geo = ifelse(geo == "DE", "Germany", Geo)) %>%
  mutate(Flag = gsub(" ", "-", str_to_lower(Geo)),
         Flag = paste0('<img src="../../bib/flags/vsmall/', Flag, '.png" alt="Flag">')) %>%
  select(Flag, everything()) %>%
  {if (is_html_output()) datatable(., filter = 'top', rownames = F, escape = F) else .}

time

Code 
lc_ncost_r2 %>%
  group_by(time) %>%
  summarise(Nobs = n()) %>%
  print_table_conditional()
time Nobs
2008 993214
2012 1143513
2016 1060542
2020 972894