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Foreign trade

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Foreign trade

Tabel 1: Exports by branch, quarter and time

IEX2PROD_raw <- 
  statgl_url("IEX2PROD", lang = language) %>% 
  statgl_fetch(
    branch = px_all(),
    quarter = 1:4,
    time = px_top(1),
    .col_code = TRUE
  ) %>% 
  as_tibble()

IEX2PROD <- 
  IEX2PROD_raw %>% 
  mutate(branch = branch %>% fct_inorder()) %>% 
  filter(branch %>% str_detect("-[:digit:]")) %>% 
  mutate(
    quarter = quarter %>% fct_inorder(),
    branch = branch %>% str_remove_all("[:digit:]|[:punct:]") %>% trimws(),
    branch = branch %>% fct_inorder()
    ) %>% 
  filter(value != "Na") %>% 
  spread(quarter, value)

IEX2PROD %>% 
  select(-time) %>% 
  rename(" " = 1) %>% 
  statgl_table() %>% 
  pack_rows(index = IEX2PROD[["time"]] %>% table()) %>% 
  row_spec(1, bold = TRUE)

	quarter 1	quarter 2	quarter 3
2025
Exports total	1.137.718.085	1.136.912.437	2.140.793.316
Agricultural products of animals origin total	333.055	49.397	146.174
Manufactures goods total	245.601.224	305.442.486	394.679.664
Ships of more than GT aircraft and drilling rigs and production platforms total	NA	20.588	18.850
Fish crustaceans and molluscs not prepared or preserved total	890.827.899	801.162.029	1.741.571.828
Fuels lubricant and current total	3.884	12.043	6.698
Other goods total	952.023	30.225.894	4.370.102

See the table in our Statbank: IEX2PROD

Tabel 2: Imports by time, end-use and quarter

IEXANV_raw <- 
  statgl_url("IEXANV", lang = language) %>%
  statgl_fetch(
    quarter   = 1:4,
    time      = px_top(1),
    "end-use" = px_all(),
    .col_code = TRUE
  ) %>% 
  as_tibble()

IEXANV <- 
  IEXANV_raw %>% 
  filter(`end-use` %>% word(1) %>% str_detect("-")) %>% 
  mutate(
    `end-use` = `end-use` %>% str_remove_all("[:digit:]|[:punct:]") %>% trimws(),
    `end-use` = `end-use` %>% fct_inorder()
  ) %>% 
  filter(value != "Na") %>% 
  spread(quarter, value)
  
IEXANV %>% 
  select(-time) %>% 
  rename(" " = 1) %>% 
  statgl_table() %>% 
  pack_rows(index = IEXANV[["time"]] %>% table()) %>% 
  row_spec(1, bold = TRUE)

	quarter 1	quarter 2	quarter 3
2025
Imports total	1,03e+09	1,51e+09	2,38e+09
Commodities for use in aggriculture and farming total	6,00e+06	8,71e+06	1,68e+07
Commodities for use in other businesses total	9,89e+07	1,81e+08	1,88e+08
Commodities for use in building and construction total	2,93e+08	3,29e+08	3,94e+08
Fuels and lubricants total	6,00e+06	1,82e+08	7,81e+08
Machinery total	1,27e+08	1,74e+08	1,72e+08
Transport equipments total	3,86e+07	4,12e+07	4,53e+07
Commodities for final use total	4,56e+08	5,90e+08	7,78e+08
Goods not elsewhere specified total	7,35e+06	8,00e+06	6,70e+06

See the table in our Statbank: IEXANV

Tabel 3: Trade balance by month, transaction and time

IEXBALMND_raw <- 
  statgl_url("IEXBALMND", lang = language) %>%
  statgl_fetch(
    month       = px_all(),
    transaction = px_all(),
    time        = px_top(1),
    .col_code   = TRUE
  ) %>% 
  as_tibble()

IEXBALMND <- 
  IEXBALMND_raw %>% 
  mutate(
    month = month %>% str_to_sentence(),
    month = month %>% fct_inorder(),
    transaction = transaction %>% fct_inorder()
  ) %>% 
  filter(value != "Na") %>% 
  spread(transaction, value)

IEXBALMND %>% 
  select(-time) %>% 
  rename(" " = 1) %>% 
  statgl_table() %>% 
  pack_rows(index = IEXBALMND[["time"]] %>% table()) %>% 
  row_spec(1, bold = TRUE)

	Balance	Export	Import
2025
Whole year	-512.740	4.415.424	4.928.164
January	213.975	561.156	347.181
February	-40.821	276.168	316.989
March	-67.982	300.394	368.376
April	-299.647	286.037	585.684
May	-139.829	286.300	426.129
June	61.470	564.576	503.106
July	-380.869	558.294	939.163
August	308.228	987.330	679.102
September	-167.265	595.168	762.433

See the table in our Statbank: IEXBALMND

Tabel 4: Imports and exports by quarter, processing, transaction and time

IEXSITC_raw <- 
  statgl_url("IEXSITC", lang = language) %>% 
  statgl_fetch(
    processing  = px_all(),
    transaction = 1:2,
    time        = px_top(2),
    .col_code   = TRUE
  ) %>% 
  as_tibble() %>% 
  filter(time != max(time))

IEXSITC <- 
  IEXSITC_raw %>% 
  filter(processing %>% str_detect("I alt|i alt|Katillugit|katillugit|total|Total")) %>%
  mutate(
      processing = processing %>% 
      str_remove_all("[:digit:]|\\-") %>% 
      trimws() %>% 
      fct_inorder(),
      value = value |> prettyNum(big.mark = ".", decimal.mark = ",")
    ) %>% 
  spread(transaction, value) %>% 
  mutate_if(is.numeric, ~replace(., is.na(.), 0)) %>%
  gather(var, val, -c(processing, time)) %>% 
  mutate(var = var %>% str_to_title()) %>% 
  spread(var, val)


IEXSITC %>% 
  select(-time) %>% 
  rename(" " = 1) %>% 
  statgl_table(replace_0s = TRUE) %>% 
  pack_rows(index = table(paste0("Kroner, ", IEXSITC %>% pull(time)))) %>% 
  row_spec(1, bold = TRUE)

	Export	Import
Kroner, 2024
Total	5.521.731.355	6.826.600.395
Provisions and livestock, total	4.948.771.531	1.110.471.097
Alcoholic beverages and tobacco, total	53.167	332.536.650
Raw materials, inedible, total	13.290.752	48.394.865
Mineral fuels and lubricants etc., total	140.918	1.455.817.749
Animal or vegetable fats and oils, total	3.280	6.376.535
Chemicals and chemical products, total	3.107.821	410.726.828
Manufactured products mainlysemimanufactured products, total	11.038.996	1.133.070.744
Machinery and transport equipment, total	516.212.923	1.631.227.423
Manufactured products, total	24.564.032	654.070.486
Miscellaneous articles and transactions, total	4.547.935	43.908.017

See the table in our Statbank: IEXSITC

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Last updated: 15. januar 2026