Businesses


Business statistics
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


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
2022
All industries 3.256.708 5.126.131 -1.869.423
All industries exc mining and quarrying 3.176.509 5.012.486 -1.835.977
Transportation and storage 1.482.215 2.132.170 -649.955
Real estate activities 1.047.058 1.241.549 -194.491
Fishing and other related industries 352.112 474.412 -122.300
Information and communication 139.897 192.225 -52.328
Professional, scientific and technical activities 134.340 160.048 -25.708
Construction 121.688 262.500 -140.812
Wholesale and retail trade: repair of motor vehicles and motorcycles 101.185 403.382 -302.197
Mining and quarrying 80.199 113.645 -33.446
Accommodation and food service activities 14.570 46.182 -31.612
Manufacturing 13.942 22.217 -8.275
Financial and insurance activities -13.277 14.876 -28.153
Administrative and support service activities -217.221 62.925 -280.146


See the table in our Statbank: ESXINVST

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
2022
Asset turnover (ratio) 0,5
Current ratio (ratio) 1,1
Number of enterprises 973
Profit margin 6,4
Return on assets (ROA) 3,4
Return on equity (ROE) 3,8
Solvency ratio (pct.) 37,9
Value added (1,000 kr.) 9.407.953


See the table in our Statbank: ESXNGL


Last updated: 22. juni 2025
---
params:
  lang: "da"
output:
  statgl::statgl_report:
    code_download: true
    code_folding: hide
editor_options: 
  chunk_output_type: console
---

```{r setup, include=FALSE}

knitr::opts_chunk$set(
	echo    = TRUE,
	message = FALSE,
	warning = FALSE,
	class.output = "scroll-100"
)

{
library("tidyverse")
library("statgl")
library("kableExtra")
library("lubridate")
library("yaml")
}

{  
language  <- params$lang
option    <- paste0("?lang=", language, "&select")
logo      <- paste0(getwd(),"/add/logo.gif")
txt       <- read_yaml(paste0(getwd(), "/add/txt.yml"), fileEncoding = "ISO-8859-1")
source    <- txt$source[language] %>% unlist()
}

xaringanExtra::use_clipboard()

```

```{css, echo = FALSE}

.accordion {
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}

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}

.accordion:after {
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  float: right;
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}

.active:after {
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}

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details {
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details > summary {
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details[open] > summary {
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.title {
  color: #1b5463;
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}


.personer {
  box-shadow: 3px 3px 4px black;
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  padding-top: 0.1px;
  padding-bottom: 1px;
  font-size: 11px;
  color: white;
  vertical-align: middle;
}

.økonomi {
  box-shadow: 3px 3px 4px black;
  background: #007F99;
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  padding-left: 16px;
  padding-top: 1px;
  padding-bottom: 0.1px;
  font-size: 11px;
  color: white;
  vertical-align: middle;
}

.tværgående {
  box-shadow: 3px 3px 4px black;
  background: #faa41a;
  padding-right: 15px;
  padding-left: 16px;
  padding-top: 0.1px;
  padding-bottom: 1px;
  font-size: 11px;
  color: white;
  vertical-align: middle;
}

.container {
  width: inherit;
}

.scroll-100 {
  max-height: 100;
  overflow-y: auto;
  background-color: inherit;
}


pre {
  max-height: 300px;
  overflow-y: auto;
}

pre[class] {
  max-height: 300px;
}

```

<br>
<br>

<center>

---
 
# [`r txt$ES$title[language]`]{.title}
 
---
</center>

<details> <summary> `r txt$ES$sub1[language]` </summary> 
<br>
<button class="accordion"> `r paste0("**Tabel 1: **", statgl_meta(statgl_url("ESX1A", lang = language))[1]$title) ` </button> <div class="panel">
```{r ESX1A}

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)

```
<br>
[![](`r logo`){width=40}`r paste(source, "ESX1A")`](`r paste0("https://bank.stat.gl:443/sq/a599d85b-ab43-428a-a91a-03bd95a80232", option)`){target="_blank"}
</div> 

</details>

<details> <summary> `r txt$ES$sub2[language]` </summary>
<br>


<button class="accordion"> `r paste0("**Tabel 2: **", statgl_meta(statgl_url("ESXINVST", lang = language))[1]$title) ` </button> <div class="panel">

```{r ESXINVST}

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())

```
<br>
[![](`r logo`){width=40}`r paste(source, "ESXINVST")`](`r paste0("https://bank.stat.gl:443/sq/808dd812-62a8-4fc3-a4c5-5f7325c7a2fc", option)`){target="_blank"}
</div> 


<button class="accordion"> `r paste0("**Tabel 3: **", statgl_meta(statgl_url("ESXNGL", lang = language))[1]$title) ` </button> <div class="panel">

```{r ESXNGL}


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())

```
<br>
[![](`r logo`){width=40}`r paste(source, "ESXNGL")`](`r paste0("https://bank.stat.gl:443/sq/ee8b2a75-82b9-4961-9614-aa1dcbb4dc33", option)`){target="_blank"}
</div> 
 

</details>



<hr style="border:1px ridge lightgray"> </hr>
<center> <span style='color:#D3D3D3; font-size:90%;'> `r paste(txt$update[language], format(Sys.Date(), "%d. %B %Y"))` </span> </center>




<script>
var acc = document.getElementsByClassName("accordion");
var i;

for (i = 0; i < acc.length; i++) {
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