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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
2025
Exports total	1.131.177.864
Agricultural products of animals origin total	333.055
Manufactures goods total	242.748.518
Fish crustaceans and molluscs not prepared or preserved total	887.140.384
Fuels lubricant and current total	3.884
Other goods total	952.023

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
2025
Imports total	1.038.031.773
Commodities for use in aggriculture and farming total	6.251.108
Commodities for use in other businesses total	99.814.508
Commodities for use in building and construction total	295.785.980
Fuels and lubricants total	6.129.173
Machinery total	125.491.912
Transport equipments total	39.439.109
Commodities for final use total	458.651.099
Goods not elsewhere specified total	6.468.884

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	93.146	1.131.178	1.038.032
January	206.278	560.236	353.958
February	-51.759	271.901	323.660
March	-61.373	299.041	360.414

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

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Last updated: 22. juni 2025