---

Foreign trade

---

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
2025
Exports total	1.137.555.286	1.139.725.750
Agricultural products of animals origin total	333.055	49.397
Manufactures goods total	245.600.659	305.413.170
Ships of more than GT aircraft and drilling rigs and production platforms total	NA	20.588
Fish crustaceans and molluscs not prepared or preserved total	890.665.665	804.009.658
Fuels lubricant and current total	3.884	7.043
Other goods total	952.023	30.225.894

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
2025
Imports total	1.049.468.190	1.536.377.257
Commodities for use in aggriculture and farming total	6.228.086	8.881.736
Commodities for use in other businesses total	100.652.376	183.703.004
Commodities for use in building and construction total	297.555.309	334.238.641
Fuels and lubricants total	6.090.361	185.282.719
Machinery total	128.642.545	176.255.276
Transport equipments total	39.207.904	41.245.960
Commodities for final use total	464.148.513	599.065.381
Goods not elsewhere specified total	6.943.097	7.704.540

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	-308.564	2.277.281	2.585.845
January	209.561	561.308	351.747
February	-45.258	276.006	321.263
March	-76.217	300.241	376.458
April	-298.318	294.996	593.313
May	-149.281	282.854	432.135
June	50.947	561.877	510.929

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	5.211.739.808	6.791.831.863
Provisions and livestock, total	5.078.795.984	1.110.445.735
Alcoholic beverages and tobacco, total	53.167	332.528.803
Raw materials, inedible, total	13.290.752	48.393.511
Mineral fuels and lubricants etc., total	140.918	1.455.812.153
Animal or vegetable fats and oils, total	3.280	6.376.383
Chemicals and chemical products, total	3.107.821	410.718.020
Manufactured products mainlysemimanufactured products, total	11.038.996	1.133.044.759
Machinery and transport equipment, total	76.196.923	1.596.547.140
Manufactured products, total	24.564.032	654.057.798
Miscellaneous articles and transactions, total	4.547.935	43.907.560

See the table in our Statbank: IEXSITC

---

Last updated: 10. november 2025