Euro area19 trade by SITC product group since 1999 - ext_st_easitc

Data - Eurostat

Author

François Geerolf

Info

LAST_DOWNLOAD

Code 
tibble(dataset = c("ext_st_easitc", "ext_st_eu27_2020sitc", "namq_10_a10")) %>%
  mutate(LAST_DOWNLOAD = as.Date(file.info(paste0("~/iCloud/website/data/eurostat/", dataset, ".RData"))$mtime)) %>%
  mutate(html = paste0("[html](https://fgeerolf.com/data/eurostat/", dataset, '.html)')) %>%
  print_table_conditional()
dataset LAST_DOWNLOAD html
ext_st_easitc 2026-03-25 [html]
ext_st_eu27_2020sitc 2026-03-24 [html]
namq_10_a10 2026-03-25 [html]

LAST_COMPILE

LAST_COMPILE
2026-03-25

Last

Code 
ext_st_easitc %>%
  group_by(time) %>%
  summarise(Nobs = n()) %>%
  arrange(desc(time)) %>%
  head(1) %>%
  print_table_conditional()
time Nobs
2026M01 21187

stk_flow

Code 
ext_st_easitc %>%
  left_join(stk_flow, by = "stk_flow") %>%
  group_by(stk_flow, Stk_flow) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  print_table_conditional()
stk_flow Stk_flow Nobs
EXP Exports 2916518
IMP Imports 2879887
BAL_RT Balance for values / Ratio for indices 1333919

indic_et

Code 
ext_st_easitc %>%
  left_join(indic_et, by = "indic_et") %>%
  group_by(indic_et, Indic_et) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  print_table_conditional()
indic_et Indic_et Nobs
TRD_VAL Trade value in million ECU/EURO 873591
TRD_VAL_SCA Seasonally and calendar adjusted trade value in million ECU/EURO 873591
IVU Unit value index (2015=100) 758262
IVOL_SCA Seasonally and calendar adjusted volume indices (2015=100) 756800
IVOL_NSA Volume indices - unadjusted data (2015=100) 756745
TRD_VAL_SCA_RT1 Growth rate M/M-1 of the seasonally and calendar adjusted trade value 578302
TRD_VAL_RT12 Growth rate M/M-12 of the trade value 556358
IVU_RT1 Growth rate M/M-1 of the unit-value indices 504453
IVOL_SCA_RT1 Growth rate M/M-1 of the seasonally and calendar adjusted volume Indices 503284
IVU_RT12 Growth rate M/M-12 of the unit-value indices 485050
IVOL_NSA_RT12 Growth rate M/M-12 of the volume Indices - unadjusted data 483888

sitc06

Code 
ext_st_easitc %>%
  left_join(sitc06, by = "sitc06") %>%
  group_by(sitc06, Sitc06) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  print_table_conditional()
sitc06 Sitc06 Nobs
TOTAL Total - all products 486424
SITC5-8 Manufactured goods 486390
SITC6_8 Other manufactured goods 486257
SITC6 Manufactured goods classified chiefly by material 486177
SITC7 Machinery and transport equipment 485986
SITC2_4 Raw materials 485966
SITC2 Crude materials, inedible, except fuels 485909
SITC0_1 Food, drinks and tobacco 483934
SITC0 Food and live animals 483761
SITC8 Miscellaneous manufactured articles 483694
SITC5 Chemicals and related products, n.e.s. 482604
SITC1 Beverages and tobacco 481899
SITC3 Mineral fuels, lubricants and related materials 470629
SITC4 Animal and vegetable oils, fats and waxes 466547
SITC33 Petroleum, petroleum products and related materials 193958
SITC9 Commodities and transactions not classified elsewhere in the SITC 180189

stk_flow

Code 
ext_st_easitc %>%
  left_join(stk_flow, by = "stk_flow") %>%
  group_by(stk_flow, Stk_flow) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  print_table_conditional()
stk_flow Stk_flow Nobs
EXP Exports 2916518
IMP Imports 2879887
BAL_RT Balance for values / Ratio for indices 1333919

geo

Code 
ext_st_easitc %>%
  left_join(geo, by = "geo") %>%
  group_by(geo, Geo) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  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 .}

partner

Code 
ext_st_easitc %>%
  left_join(partner, by = "partner") %>%
  group_by(partner, Partner) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  print_table_conditional()

time

Code 
ext_st_easitc %>%
  group_by(time) %>%
  summarise(Nobs = n()) %>%
  arrange(desc(time)) %>%
  print_table_conditional()