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), 2022
All 42.703 38.138 4.565
50,000 DKK or less 5.161 4.504 657
50,001 - 100,000 DKK 4.043 3.910 133
100,001 - 200,000 DKK 10.931 10.515 416
200,001 - 300,000 DKK 7.249 6.771 478
300,001 - 400,000 DKK 5.723 5.112 611
400,001 - 500,000 DKK 4.004 3.416 588
500,001 - 600,000 DKK 2.216 1.728 488
600,001 - 700,000 DKK 1.200 850 350
700,001 - 800,000 DKK 679 453 226
800,001 - 900,000 DKK 382 236 146
900,001 - 1,000,000 DKK 269 170 99
More than 1,000,001 DKK 846 473 373


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
2022
Pre-tax income 279.543 234.250
Taxable income 269.246 225.621
Disposable income 180.011 150.844


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()
2022 2021 2020 2019 2018
Gini coefficient 34,5 34,0 34,9 34,6 34,9
S80/20 5,5 5,3 5,5 5,3 5,4
At-risk-of-poverty rate. 40 per cent threshold 7,6 6,9 7,1 6,4 6,5
At-risk-of-poverty rate. 50 per cent threshold 12,0 11,6 11,4 10,5 10,5
At-risk-of-poverty rate. 60 per cent threshold 18,4 17,8 17,9 16,8 16,4


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: 17. april 2024
---
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}

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details[open] > summary {
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  color: #1b5463;
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}


.personer {
  box-shadow: 3px 3px 4px black;
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  padding-bottom: 1px;
  font-size: 11px;
  color: white;
  vertical-align: middle;
}

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}

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}

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  background-color: inherit;
}


pre {
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  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>




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