Fiskeri og fangst
Fiskeri
FIX008_raw <-
statgl_url("FIX008", lang = language) %>%
statgl_fetch(
time = px_top(1),
nation = "GRL",
species = px_all(),
unit = px_all(),
.col_code = TRUE
) %>%
as_tibble()
FIX008 <-
FIX008_raw %>%
select(time, unit, species, value) %>%
filter(value != 0) %>%
spread(unit, value)
FIX008 %>%
select(-1) %>%
rename(" " = 1) %>%
statgl_table() %>%
pack_rows(index = FIX008[["time"]] %>% table())
|
1.000 kr.
|
Ton
|
2025
|
Andre arter
|
670
|
32
|
Bifangst
|
6.052
|
289
|
Hellefisk
|
223.860
|
7.212
|
Helleflynder
|
121
|
6
|
Kuller
|
9.940
|
476
|
Lodde
|
61.314
|
2.938
|
REG
|
10.535
|
505
|
Rejer
|
436.967
|
15.078
|
Sej
|
3.712
|
178
|
Torsk
|
236.321
|
11.324
|
Se Statistikbankens tabel: FIX008
Fangst
FIX004_raw <-
statgl_url("FIX004", lang = language) %>%
statgl_fetch(
time = px_all(),
species = px_all(),
unit = px_all(),
.col_code = TRUE
) %>%
as_tibble()
FIX004 <-
FIX004_raw %>%
filter(
time == max(time),
value != 0
) %>%
spread(unit, value)
FIX004 %>%
select(-1) %>%
rename(" " = 1) %>%
statgl_table() %>%
pack_rows(index = FIX004[["time"]] %>% table())
|
1.000 kr.
|
Ton
|
2023
|
Får
|
1.520
|
41,74
|
Lam
|
15.688
|
283,12
|
Landpattedyr, uspec.
|
799
|
9,37
|
Ren
|
219
|
2,64
|
Se Statistikbankens tabel: FIX004
FIXBEVIS_raw <-
statgl_url("FIXBEVIS", lang = language) %>%
statgl_fetch(
"geographic location" = px_all(),
sex = px_all(),
time = px_all(),
.col_code = TRUE
) %>%
as_tibble()
FIXBEVIS <-
FIXBEVIS_raw %>%
filter(time == max(time)) %>%
spread(`geographic location`, value)
FIXBEVIS %>%
select(-time) %>%
rename(" " = 1) %>%
statgl_table() %>%
pack_rows(index = FIXBEVIS[["time"]] %>% table())
|
sex
|
By
|
Bygd
|
2024
|
Erhvervsfanger
|
Kvinde
|
10
|
12
|
Erhvervsfanger
|
Mand
|
1.097
|
946
|
Fritidsfanger
|
Kvinde
|
871
|
159
|
Fritidsfanger
|
Mand
|
3.291
|
406
|
Se Statistikbankens tabel: FIXBEVIS
Landbrug
FIXHDYR_raw <-
statgl_url("FIXHDYR", lang = language) %>%
statgl_fetch(
species = px_all(),
time = px_all(),
.col_code = TRUE
) %>%
as_tibble()
FIXHDYR <-
FIXHDYR_raw %>%
filter(time == max(time)) %>%
filter(value != "NA")
if(language == "da"){
table <- FIXHDYR %>% rename("Antal" = value)
} else if(language == "kl"){
table <- FIXHDYR %>% rename("Qassiuneri" = value)
} else {
table <- FIXHDYR %>% rename("Pieces" = value)
}
table %>%
select(-time) %>%
rename(" " = 1) %>%
statgl_table() %>%
pack_rows(index = FIXHDYR[["time"]] %>% table())
|
Antal
|
2023
|
Får
|
17.268
|
Tamren
|
3.000
|
Kvæg
|
373
|
Heste
|
139
|
Høns
|
260
|
Se Statistikbankens tabel: FIXHDYR
Prisindeks
FIX009_raw <-
statgl_url("FIX009", lang = language) %>%
statgl_fetch(
ukioq = px_all(),
"kvartal-i" = "Agguaq.",
suussusaa = c("Saarullik, Katillugit", "Qaleralik, katillugit", "Kinguppak, katillugit"),
.col_code = TRUE
) %>%
as_tibble()
FIX009 <-
FIX009_raw %>%
filter(value != "NA") %>%
spread(ukioq, value)
FIX009 %>%
select(-`kvartal-i`) %>%
rename(" " = 1) %>%
statgl_table() %>%
pack_rows(index = FIX009[["kvartal-i"]] %>% table())
|
2010
|
2011
|
2012
|
2013
|
2014
|
2015
|
2016
|
2017
|
2018
|
2019
|
2020
|
2021
|
2022
|
2023
|
2024
|
Gennemsnit
|
Hellefisk, total
|
100
|
116
|
127
|
121,7
|
123
|
154
|
149
|
151
|
154
|
148
|
134
|
132
|
161
|
153
|
159
|
Rejer, total
|
100
|
115
|
145
|
147,5
|
166
|
202
|
202
|
196
|
207
|
196
|
169
|
166
|
188
|
197
|
184
|
Torsk, total
|
100
|
118
|
115
|
90,3
|
103
|
137
|
135
|
144
|
165
|
186
|
162
|
163
|
228
|
202
|
206
|
Se Statistikbankens tabel: FIX009
Forbrug af havets ressourcer
FIX020_raw <-
statgl_url("FIX020", lang = language) %>%
statgl_fetch(
species = px_all(),
form = px_all(),
time = px_all(),
.col_code = TRUE
) %>%
as_tibble()
FIX020 <-
FIX020_raw %>%
filter(time == max(time)) %>%
spread(form, value)
FIX020 %>%
select(-time) %>%
rename(" " = 1) %>%
statgl_table(replace_0s = TRUE) %>%
pack_rows(index = FIX020[["time"]] %>% table())
|
Fangst
|
Kvote
|
Rådgivning
|
2021
|
Finhval
|
2
|
19
|
19
|
Grønlandshval
|
0
|
2
|
2
|
Hvalros
|
127
|
170
|
189
|
Hvidhval
|
148
|
294
|
302
|
Isbjørn
|
137
|
156
|
146
|
Narhval
|
419
|
499
|
419
|
Pukkelhval
|
7
|
10
|
10
|
Vågehval
|
198
|
184
|
184
|
Se Statistikbankens tabel: FIX020
Sidst opdateret: 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$FI$title[language]`]{.title}
 
---
</center>

<details> <summary> `r txt$FI$sub1[language]` </summary> 
<br>
<button class="accordion"> `r paste0("**Tabel 1: **", statgl_meta(statgl_url("FIX008", lang = language))[1]$title) ` </button> <div class="panel">
```{r FIX008}

FIX008_raw <- 
  statgl_url("FIX008", lang = language) %>%
  statgl_fetch(
    time      = px_top(1),
    nation    = "GRL",
    species   = px_all(),
    unit      = px_all(),
    .col_code = TRUE
  ) %>% 
  as_tibble()


FIX008 <- 
  FIX008_raw %>% 
  select(time, unit, species, value) %>% 
  filter(value != 0) %>% 
  spread(unit, value)

FIX008 %>% 
  select(-1) %>% 
  rename(" " = 1) %>% 
  statgl_table() %>% 
  pack_rows(index = FIX008[["time"]] %>% table())
  

```
<br>
[![](`r logo`){width=40}`r paste(source, "FIX008")`](`r paste0("https://bank.stat.gl:443/sq/3e67f02e-f8af-48ad-b045-c8d78597b092", option)`){target="_blank"}
</div> 
</details>


<details> <summary> `r txt$FI$sub2[language]` </summary>
<br>

<button class="accordion"> `r paste0("**Tabel 2: **", statgl_meta(statgl_url("FIX004", lang = language))[1]$title) ` </button> <div class="panel">

```{r FIX004}

FIX004_raw <- 
  statgl_url("FIX004", lang = language) %>% 
  statgl_fetch(
    time      = px_all(),
    species   = px_all(),
    unit      = px_all(),
    .col_code = TRUE
  ) %>% 
  as_tibble()

FIX004 <- 
  FIX004_raw %>% 
  filter(
    time == max(time),
    value != 0
    ) %>% 
  spread(unit, value)

FIX004 %>% 
  select(-1) %>% 
  rename(" " = 1) %>% 
  statgl_table() %>% 
  pack_rows(index = FIX004[["time"]] %>% table())





```
<br>
[![](`r logo`){width=40}`r paste(source, "FIX004")`](`r paste0("https://bank.stat.gl:443/sq/509accef-206c-4281-83bd-aaae93b763d6", option)`){target="_blank"}
</div> 


<button class="accordion"> `r paste0("**Tabel 3: **", statgl_meta(statgl_url("FIXBEVIS", lang = language))[1]$title) ` </button> <div class="panel">

```{r FIXBEVIS}

FIXBEVIS_raw <- 
  statgl_url("FIXBEVIS", lang = language) %>% 
  statgl_fetch(
    "geographic location" = px_all(),
    sex                   = px_all(),
    time                  = px_all(),
    .col_code             = TRUE
  ) %>% 
  as_tibble()

FIXBEVIS <- 
  FIXBEVIS_raw %>% 
  filter(time == max(time)) %>% 
  spread(`geographic location`, value)


FIXBEVIS %>% 
  select(-time) %>% 
  rename(" " = 1) %>% 
  statgl_table() %>% 
  pack_rows(index = FIXBEVIS[["time"]] %>% table())



```
<br>
[![](`r logo`){width=40}`r paste(source, "FIXBEVIS")`](`r paste0("https://bank.stat.gl:443/sq/33f0757a-344b-48c0-adfc-012bd1950012", option)`){target="_blank"}
</div> 
</details> 


<details> <summary> `r txt$FI$sub3[language]` </summary>
<br>
<button class="accordion"> `r paste0("**Tabel 4: **", statgl_meta(statgl_url("FIXHDYR", lang = language))[1]$title) ` </button> <div class="panel">

```{r FIXHDYR}

FIXHDYR_raw <- 
  statgl_url("FIXHDYR", lang = language) %>% 
  statgl_fetch(
    species   = px_all(),
    time      = px_all(),
    .col_code = TRUE
  ) %>% 
  as_tibble()


FIXHDYR <-
  FIXHDYR_raw %>% 
  filter(time == max(time)) %>% 
  filter(value != "NA")



if(language == "da"){
  table <- FIXHDYR %>% rename("Antal" = value)
} else if(language == "kl"){
  table <- FIXHDYR %>% rename("Qassiuneri" = value)
} else {
  table <- FIXHDYR %>% rename("Pieces" = value)
}


table %>% 
  select(-time) %>% 
  rename(" " = 1) %>% 
  statgl_table() %>% 
  pack_rows(index = FIXHDYR[["time"]] %>% table())
  

```
<br>
[![](`r logo`){width=40}`r paste(source, "FIXHDYR")`](`r paste0("https://bank.stat.gl:443/sq/27817eb8-cc3b-40d4-bf60-3ce8e80e0ef3", option)`){target="_blank"}
</div> 
</details>


<details> <summary> `r txt$FI$sub4[language]` </summary>
<br>
<button class="accordion"> `r paste0("**Tabel 5: **", statgl_meta(statgl_url("FIX009", lang = language))[1]$title) ` </button> <div class="panel">

```{r FIX009}
FIX009_raw <- 
  statgl_url("FIX009", lang = language) %>% 
  statgl_fetch(
    ukioq     = px_all(),
    "kvartal-i" = "Agguaq.",
    suussusaa = c("Saarullik, Katillugit", "Qaleralik, katillugit", "Kinguppak, katillugit"),
    .col_code = TRUE
  ) %>% 
  as_tibble()

FIX009 <- 
  FIX009_raw %>% 
  filter(value != "NA") %>% 
  spread(ukioq, value)

FIX009 %>% 
  select(-`kvartal-i`) %>% 
  rename(" " = 1) %>% 
  statgl_table() %>% 
  pack_rows(index = FIX009[["kvartal-i"]] %>% table())

```
<br>
[![](`r logo`){width=40}`r paste(source, "FIX009")`](`r paste0("https://bank.stat.gl:443/sq/b237976b-3a41-4412-b815-e54fc310bc89", option)`){target="_blank"}
</div> 
</details> 

<details> <summary> `r txt$FI$sub5[language]` </summary>
<br>
<button class="accordion"> `r paste0("**Tabel 6: **", statgl_meta(statgl_url("FIX020", lang = language))[1]$title) ` </button> <div class="panel">

```{r FIX020}

FIX020_raw <- 
  statgl_url("FIX020", lang = language) %>% 
  statgl_fetch(
    species = px_all(),
    form = px_all(),
    time = px_all(),
    .col_code = TRUE
  ) %>% 
  as_tibble()

FIX020 <- 
  FIX020_raw %>% 
  filter(time == max(time)) %>% 
  spread(form, value)


FIX020 %>% 
  select(-time) %>% 
  rename(" " = 1) %>% 
  statgl_table(replace_0s = TRUE) %>% 
  pack_rows(index = FIX020[["time"]] %>% table())




```
<br>
[![](`r logo`){width=40}`r paste(source, "FIX020")`](`r paste0("https://bank.stat.gl:443/sq/e643ea97-f1a3-4687-9648-413bfad540d8", 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>


