Income


Personal income


INXPI302_raw <- 
  statgl_url("INXPI302", lang = language) %>% 
  statgl_fetch(
    unit              = 0,
    "place of birth"  = px_all(),
    "income interval" = px_all(),
    time              = px_top(),
    .col_code         = TRUE
  ) %>% 
  as_tibble()

INXPI302 <- 
  INXPI302_raw %>% 
  mutate(
    `place of birth`  = `place of birth` %>% fct_inorder,
    `income interval` = `income interval` %>% fct_inorder
  ) %>% 
  spread(`place of birth`, value) %>% 
  unite(combi, unit, time, sep = ", ") %>%
  mutate_if(is.integer, ~replace(., is.na(.), 0))
  

INXPI302 %>% 
  select(-combi) %>% 
  rename(" " = 1) %>% 
  statgl_table(replace_0s = TRUE) %>% 
  pack_rows(index = INXPI302[["combi"]] %>% table()) %>% 
  row_spec(1, bold = TRUE)
Total Born in Greenland Born outside Greenland
Persons in the group (number), 2023
All 42.767 37.910 4.857
50,000 DKK or less 4.949 4.198 751
50,001 - 100,000 DKK 3.636 3.501 135
100,001 - 200,000 DKK 10.571 10.147 424
200,001 - 300,000 DKK 7.442 6.909 533
300,001 - 400,000 DKK 5.794 5.172 622
400,001 - 500,000 DKK 4.257 3.646 611
500,001 - 600,000 DKK 2.404 1.888 516
600,001 - 700,000 DKK 1.350 984 366
700,001 - 800,000 DKK 718 491 227
800,001 - 900,000 DKK 461 287 174
900,001 - 1,000,000 DKK 304 188 116
More than 1,000,001 DKK 881 499 382


See the table in our Statbank: INXPI302

INXPI501_raw <- 
  statgl_url("INXPI501", lang = language) %>% 
  statgl_fetch(
    unit             = px_all(),
    time             = px_top(),
    "type of income" = px_all(),
    .col_code        = TRUE
  ) %>% 
  as_tibble()

INXPI501 <- 
  INXPI501_raw %>% 
  mutate(
    unit             = unit %>% fct_inorder,
    `type of income` = `type of income` %>% fct_inorder
  ) %>% 
  spread(unit, value)

INXPI501 %>% 
  select(-time) %>% 
  rename(" " = 1) %>% 
  statgl_table() %>% 
  pack_rows(index = INXPI501[["time"]] %>% table())
Nominal income Real income
2023
Pre-tax income 291.577 238.389
Taxable income 280.209 229.094
Disposable income 185.959 152.037


See the table in our Statbank: INXPI501

Income Inequality
INXIU101_raw <- 
  statgl_url("INXIU101", lang = language) %>%
  statgl_fetch(
    indicator = px_all(),
    time      = px_top(5),
    .col_code = TRUE
  ) %>% 
  as_tibble()

INXIU101 <- 
  INXIU101_raw %>% 
  mutate(
    indicator = indicator %>% fct_inorder,
    time = time %>% fct_inorder %>% fct_rev()
  ) %>% 
  spread(time, value)

INXIU101 %>% 
  rename(" " = 1) %>% 
  statgl_table()
2023 2022 2021 2020 2019
Gini coefficient 33,9 34,2 34,3 34,9 34,6
S80/20 5,3 5,5 5,8 5,5 5,3
At-risk-of-poverty rate. 40 per cent threshold 7,2 7,8 8,3 7,1 6,4
At-risk-of-poverty rate. 50 per cent threshold 11,5 12,1 13,0 11,4 10,5
At-risk-of-poverty rate. 60 per cent threshold 17,4 18,4 18,9 17,9 16,8


See the table in our Statbank: INXIU101

Tax statistics
INXSS101_raw <- 
  statgl_url("INXSS101", lang = language) %>%
  statgl_fetch(
    "tax municipality" = px_all(),
    unit               = px_all(),
    time               = px_top(),
    .col_code          = TRUE
  ) %>% 
  as_tibble()

INXSS101 <- 
  INXSS101_raw %>% 
  filter(value != "NA") %>% 
  mutate(
    unit               = unit %>% fct_inorder,
    `tax municipality` = `tax municipality` %>% fct_inorder
  ) %>% 
  spread(unit, value)

INXSS101 %>% 
  select(-time) %>% 
  rename(" " = 1) %>% 
  statgl_table() %>% 
  pack_rows(index = INXSS101[["time"]] %>% table()) %>% 
  row_spec(1, bold = TRUE)
Number of tax payers Total taxable income (mio. DKK) Total income tax (mio. kr.)
2022
All Greenland 49.382 13.392 4.825
Kommune Kujalleq 5.328 1.180 419
Kommuneqarfik Sermersooq 21.472 6.804 2.493
Qeqqata Kommunia 7.837 1.983 697
Kommune Qeqertalik 5.126 1.082 379
Avannaata Kommunia 9.126 2.049 737
Outside municipalities 502 294 100


See the table in our Statbank: INXSS101


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 {
  background-color: #919900;
  color: white;
  cursor: pointer;
  padding: 18px;
  width: 100%;
  border: none;
  border-radius: 5px;
  text-align: left;
  outline: none;
  font-size: 15px;
  transition: 0.4s;
}

.active, .accordion:hover {
  background-color: #f97242;
}

.accordion:after {
  content: '\002B';
  color: #777;
  font-weight: bold;
  float: right;
  margin-left: 5px;
}

.active:after {
  content: "\2212";
}

.panel {
  padding: 0px 5px 0px 5px;
  background-color: white;
  max-height: 0;
  overflow: hidden;
  transition: max-height 0.2s ease-out;
}

details {
  width: 100%;
}

details > summary {
  padding: 4px 12px;
  width: 100%;
  background-color: #007f99;
  border: solid;
  border-color: white;
  border-radius: 5px;
  cursor: pointer;
  font-size: 15px;
  color: white;
}

details[open] > summary {
  background-color: #faa41a;
}


.title {
  color: #1b5463;
  font-size: 36px;
}


.personer {
  box-shadow: 3px 3px 4px black;
  background: #004459;
  padding-right: 15px;
  padding-left: 16px;
  padding-top: 0.1px;
  padding-bottom: 1px;
  font-size: 11px;
  color: white;
  vertical-align: middle;
}

.økonomi {
  box-shadow: 3px 3px 4px black;
  background: #007F99;
  padding-right: 15px;
  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$IN$title[language]`]{.title}
 
---
</center>

<details> <summary> `r txt$IN$sub1[language]` </summary> 
<br>
 

<button class="accordion"> `r paste0("**Tabel 1: **", statgl_meta(statgl_url("INXPI302", lang = language))[1]$title) ` </button> <div class="panel">

```{r INXPI302}

INXPI302_raw <- 
  statgl_url("INXPI302", lang = language) %>% 
  statgl_fetch(
    unit              = 0,
    "place of birth"  = px_all(),
    "income interval" = px_all(),
    time              = px_top(),
    .col_code         = TRUE
  ) %>% 
  as_tibble()

INXPI302 <- 
  INXPI302_raw %>% 
  mutate(
    `place of birth`  = `place of birth` %>% fct_inorder,
    `income interval` = `income interval` %>% fct_inorder
  ) %>% 
  spread(`place of birth`, value) %>% 
  unite(combi, unit, time, sep = ", ") %>%
  mutate_if(is.integer, ~replace(., is.na(.), 0))
  

INXPI302 %>% 
  select(-combi) %>% 
  rename(" " = 1) %>% 
  statgl_table(replace_0s = TRUE) %>% 
  pack_rows(index = INXPI302[["combi"]] %>% table()) %>% 
  row_spec(1, bold = TRUE)

```
<br>
[![](`r logo`){width=40}`r paste(source, "INXPI302")`](`r paste0("https://bank.stat.gl:443/sq/7d235155-d7ae-484c-9c5e-d204854507fb", option)`){target="_blank"}
</div> 





<button class="accordion"> `r paste0("**Tabel 2: **", statgl_meta(statgl_url("INXPI501", lang = language))[1]$title) ` </button> <div class="panel">

```{r INXPI501}

INXPI501_raw <- 
  statgl_url("INXPI501", lang = language) %>% 
  statgl_fetch(
    unit             = px_all(),
    time             = px_top(),
    "type of income" = px_all(),
    .col_code        = TRUE
  ) %>% 
  as_tibble()

INXPI501 <- 
  INXPI501_raw %>% 
  mutate(
    unit             = unit %>% fct_inorder,
    `type of income` = `type of income` %>% fct_inorder
  ) %>% 
  spread(unit, value)

INXPI501 %>% 
  select(-time) %>% 
  rename(" " = 1) %>% 
  statgl_table() %>% 
  pack_rows(index = INXPI501[["time"]] %>% table())

```
<br>
[![](`r logo`){width=40}`r paste(source, "INXPI501")`](`r paste0("https://bank.stat.gl:443/sq/e413add8-1c17-49dc-9d19-a10c84ea45a2", option)`){target="_blank"}
</div> 


</details>



<details> <summary> `r txt$IN$sub3[language]` </summary> 
<br>
<button class="accordion"> `r paste0("**Tabel 3: **", statgl_meta(statgl_url("INXIU101", lang = language))[1]$title) ` </button> <div class="panel">

```{r INXIU101}

INXIU101_raw <- 
  statgl_url("INXIU101", lang = language) %>%
  statgl_fetch(
    indicator = px_all(),
    time      = px_top(5),
    .col_code = TRUE
  ) %>% 
  as_tibble()

INXIU101 <- 
  INXIU101_raw %>% 
  mutate(
    indicator = indicator %>% fct_inorder,
    time = time %>% fct_inorder %>% fct_rev()
  ) %>% 
  spread(time, value)

INXIU101 %>% 
  rename(" " = 1) %>% 
  statgl_table()

```
<br>
[![](`r logo`){width=40}`r paste(source, "INXIU101")`](`r paste0("https://bank.stat.gl:443/sq/ecc2f6e1-3060-4597-b571-e574128f10e7", option)`){target="_blank"}
</div> 
</details> 

<details> <summary> `r txt$IN$sub4[language]` </summary>
<br>
<button class="accordion"> `r '*Tabel 4:* {statgl_meta(glue::glue("https://bank.stat.gl/api/v1/{language}/Greenland/IN/IN50/INXSS101.px")) |> pluck("title")}' |> glue::glue() ` </button> <div class="panel">

```{r ARXLED4}

INXSS101_raw <- 
  statgl_url("INXSS101", lang = language) %>%
  statgl_fetch(
    "tax municipality" = px_all(),
    unit               = px_all(),
    time               = px_top(),
    .col_code          = TRUE
  ) %>% 
  as_tibble()

INXSS101 <- 
  INXSS101_raw %>% 
  filter(value != "NA") %>% 
  mutate(
    unit               = unit %>% fct_inorder,
    `tax municipality` = `tax municipality` %>% fct_inorder
  ) %>% 
  spread(unit, value)

INXSS101 %>% 
  select(-time) %>% 
  rename(" " = 1) %>% 
  statgl_table() %>% 
  pack_rows(index = INXSS101[["time"]] %>% table()) %>% 
  row_spec(1, bold = TRUE)

```
<br>
[![](`r logo`){width=40}`r paste(source, "INXSS101")`](`r paste0("https://bank.stat.gl:443/sq/3bb3e52c-811e-48b3-87c2-e7560413fac4", 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++) {
  acc[i].addEventListener("click", function() {
    this.classList.toggle("active");
    var panel = this.nextElementSibling;
    if (panel.style.maxHeight) {
      panel.style.maxHeight = null;
    } else {
      panel.style.maxHeight = panel.scrollHeight + "px";
    } 
  });
}
</script>
