---

Businesses

---

Business statistics

Tabel 1: Businesses Structure by business sector, unit and time

ESX1A_raw <- 
  statgl_url("ESX1A", lang = language) %>%
  statgl_fetch(
    "business sector" = px_all(),
    unit              = px_all(),
    time              = px_top(),
    .col_code         = TRUE
  ) %>% 
  as_tibble()

ESX1A <- 
  ESX1A_raw %>% 
  mutate(
    unit = unit %>% fct_inorder(),
    `business sector` = `business sector` %>% str_remove_all(".\\.") %>% trimws(),
    `business sector` = `business sector` %>% fct_reorder(value, .fun = sum, .desc = TRUE),
    ) %>% 
  spread(unit, value)

ESX1A %>% 
  select(-time) %>% 
  rename(" " = 1) %>% 
  statgl_table() %>% 
  pack_rows(index = ESX1A[["time"]] %>% table()) %>% 
  row_spec(1, bold = TRUE)

	Number of businesses	Aggregate salaries and shares, in million DKK	Average salaries and shares, in million DKK
2021
Total	4.063	7.251,3	1,78
Fishing and other related industries	2.039	1.827,7	0,90
Construction	261	1.303,0	4,99
Transportation and storage	212	958,5	4,52
Wholesale and retail trade: repair of motor vehicles and motorcycles	236	860,1	3,64
Administrative and support service activities	185	395,4	2,14
Professional, scientific and technical activities	212	277,1	1,31
Information and communication	90	311,1	3,46
Accommodation and food service activities	127	265,6	2,09
No information given	107	193,0	1,80
Other services	142	100,8	0,71
Health care and social services	90	150,9	1,68
Real estate activities	63	148,0	2,35
Manufacturing	79	98,0	1,24
Financial and insurance activities	18	148,1	8,23
Mining and quarrying	29	106,0	3,66
Culture, recreational and sport services	78	33,9	0,43
Education	52	55,8	1,07
Watersupply, sewage and waste	43	18,3	0,43

See the table in our Statbank: ESX1A

Accounting statistics

Tabel 2: Account statititcs investment by time, industry and items

ESXINVST_raw <- 
  statgl_url("ESXINVST", lang = language) %>%
  statgl_fetch(
    industry  = px_all(),
    items     = px_top(3),
    time      = px_top(1),
    .col_code = TRUE
  ) %>% 
  as_tibble()

ESXINVST <- 
  ESXINVST_raw %>% 
  mutate(
    items = items %>% fct_inorder(),
    industry = industry %>% str_remove_all(".\\.") %>% trimws(),
    industry = industry %>% fct_reorder(value, .fun = sum, .desc = T)
  ) %>% 
  spread(items, value)

ESXINVST %>% 
  select(-time) %>% 
  rename(" " = 1) %>% 
  statgl_table() %>% 
  pack_rows(index = ESXINVST[["time"]] %>% table())

	Investment, net	Investment	Disinvestment
2021
All industries	5.936.883	11.477.816	-5.540.933
All industries exc mining and quarrying	5.598.845	11.123.892	-5.525.047
Transportation and storage	2.280.290	3.335.238	-1.054.948
Fishing and other related industries	1.481.901	3.310.421	-1.828.520
Real estate activities	1.090.050	1.781.594	-691.544
Construction	859.504	1.066.950	-207.446
Wholesale and retail trade: repair of motor vehicles and motorcycles	460.042	565.151	-105.109
Mining and quarrying	338.038	353.924	-15.886
Accommodation and food service activities	266.060	300.564	-34.504
Information and communication	193.550	328.868	-135.318
Professional, scientific and technical activities	141.904	265.436	-123.532
Financial and insurance activities	76.083	85.598	-9.515
Manufacturing	28.748	41.154	-12.406
Administrative and support service activities	-1.279.287	42.918	-1.322.205

See the table in our Statbank: ESXINVST

Tabel 3: Account statititcs by time, industry and items

ESXNGL_raw <- 
  statgl_url("ESXNGL", lang = language) %>%
  statgl_fetch(
    industry  = px_top(1),
    items     = px_all(),
    time      = px_top(1),
    .col_code = TRUE
  ) %>% 
  as_tibble()

ESXNGL <- 
  ESXNGL_raw %>% 
  mutate(value = value |> prettyNum(big.mark = ".", decimal.mark = ",")) |> 
  spread(industry, value) 
  

ESXNGL %>% 
  select(-time) %>% 
  rename(" " = 1) %>% 
  statgl_table() %>% 
  pack_rows(index = ESXNGL[["time"]] %>% table())

	All industries
2021
Asset turnover (ratio)	0,5
Current ratio (ratio)	1,1
Number of enterprises	891
Profit margin	4
Return on assets (ROA)	1,9
Return on equity (ROE)	0,1
Solvency ratio (pct.)	39,4
Value added (1,000 kr.)	8.547.754

See the table in our Statbank: ESXNGL

---

Last updated: 17. april 2024