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Suliffeqarnermi pissutsit

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Sulisorineqarsinnaasut

Tabel 1: Sulisinnaasut : ilinniagaq, piffissaq , naatsorsuinermi uuttuut

url <- paste0("https://bank.stat.gl/api/v1/", language, "/Greenland/AR/AR10/ARXSTK2.px")

ARXSTK2_raw <- 
  url |> 
  statgl_fetch(
    time                 = px_top(),
    education            = c("AA", "10", "20", "30", "40", "50"),
    "inventory variable" = px_all(),
    .col_code            = TRUE
  ) %>% 
  as_tibble()

ARXSTK2 <-
  ARXSTK2_raw %>% 
  mutate(
    education = education %>% factor(levels = unique(education)),
    `inventory variable` = `inventory variable` %>% fct_rev()
  ) %>% 
  spread(education, value)


ARXSTK2 %>% 
  select(-time) %>% 
  rename(" " = 1) %>% 
  statgl_table() %>% 
  pack_rows(index = ARXSTK2[["time"]] %>% table()) |> 
  row_spec(1, bold = T)

	Katillugit	Meeqqat atuarfiat	Ilinniarnertuunngorniarneq	Inuussutissarsiornermik ilinniarneq: Katillugit	Angusanik qaffassaaneq	Ingerlariaqqiffiusumik ilinniarneq
2022
Innuttaasut tamakkerlugit	37.038	20.503	2.036	8.068	1.449	4.982
Agguaqatigiissillugu qaammammut sulisinnaasut (suliffillit + suliffissaaleqisut)	28.808	14.272	1.555	7.051	1.262	4.668
Agguaqatigiissillugu qaammammut sulisinnaasunut ilaanngitsut (innuttaasut tamakkerlugit - sulisinnaasut)	8.231	6.232	481	1.017	187	314
Agguaqatigiissillugu qaammammut suliffissaaleqisut	931	776	14	108	15	17
Agguaqatigiissillugu qaammammut suliffillit	27.877	13.495	1.542	6.943	1.246	4.651

Se Statistikbankens tabel: ARXSTK2

Suliffissarsiortut

Tabel 2: Suliffissarsiortutut nalunaarsukkat : piffissaq, qaammat, suiaassuseq, najugaqarfik , utoqqaassuseq

ARXLED2_raw <- 
  statgl_url("ARXLED2", lang = language) %>%
  statgl_fetch(
    aar       = px_top(2),
    md        = px_all(),
    koen      = 3,
    type_k    = "A",
    alderskat = px_all(),
    .col_code = TRUE
  ) %>% 
  as_tibble()

ARXLED2 <- 
  ARXLED2_raw %>% 
  filter(aar <= Sys.time() %>% year() - 1) %>% 
  mutate(
    alderskat = alderskat %>% factor(levels = unique(alderskat)),
    md = md %>% factor(levels = unique(md))
  ) %>% 
  spread(md, value) %>% 
  unite(combi, type_k, koen, sep = ", ")

ARXLED2 %>% 
  select(-c(aar, combi)) %>% 
  rename(" " = 1) %>% 
  statgl_table() %>% 
  pack_rows(index = ARXLED2[["aar"]] %>% table())

	Januaari	Februaari	Marsi	Apriili	Maaji	Juuni	Juuli	Aggusti	Septembari	Oktobari	Novembari	Decembari
2023
18-19	68	60	68	53	49	53	42	32	29	34	47	60
20-24	183	134	172	145	118	124	117	96	87	105	133	141
25-29	209	168	159	139	117	111	116	100	85	100	124	141
30-34	242	200	214	185	151	146	139	121	109	122	141	173
35-39	194	168	154	136	124	119	115	103	101	102	121	148
40-44	163	156	138	115	120	103	109	96	97	100	120	128
45-49	128	109	120	97	88	75	70	68	63	74	84	97
50-54	174	147	156	134	111	112	111	97	85	94	102	113
55-59	240	193	203	203	207	176	156	155	152	149	193	224
60+	208	181	198	190	176	149	141	139	140	145	169	175

Se Statistikbankens tabel: ARXLED2

Tabel 3: Qaammatit amerlassusaat suliffissarsiortutut nalunaarsukkanut : najugaq, suiaassuseq, utoqqaassuseq, naatsorsuiffik, qaammatit aalajangersimasuni , naatsorsuinermi allanngorarneq

ARXLEDVAR_raw <- 
  statgl_url("ARXLEDVAR", lang = language) %>%
  statgl_fetch(
    gender               = 0,
    age                  = "A",
    "inventory variable" = px_all(),
    time                 = px_top(1),
    "number of months"   = px_all(),
    .col_code = TRUE
  ) %>% 
  as_tibble()

ARXLEDVAR <- 
  ARXLEDVAR_raw %>% 
  unite(combi, age, gender, sep = ", ") %>% 
  mutate(
    `number of months` = `number of months` %>% fct_inorder(),
    `inventory variable` = `inventory variable` %>% fct_inorder()
  ) %>% 
  spread(`inventory variable`, value)

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

	Inuit amerlassusaat	Procentinngorlugit
2023Q4
Tamarmik	4.479	100,0
Qaammatini 1-3	2.948	65,8
Qaammatini 4-6	844	18,8
Qaammatini 7-9	345	7,7
Qaammatini 10-12	342	7,6

Se Statistikbankens tabel: ARXSTK1

Suliffeqarneq

Tabel 4: Najugaqavissut akornanni pingaarnertut suliffillit : inuussutissarsiornermi suliaqarfik, najugaqarfik, inunngorfik, suiaassuseq, ukiut, piffissaq , naatsorsuinermi uuttuut

url <- paste0("https://bank.stat.gl/api/v1/", language, "/Greenland/AR/AR30/ARXBFB01.px")

ARXBFB1_raw <- 
  url |> 
  statgl_fetch(
    time                 = px_top(),
    industry             = px_all(),
    gender               = "A",
    "inventory variable" = "G",
    "place of residence" = px_all(),
    .col_code            = TRUE
  ) %>% 
  as_tibble()

ARXBFB1 <- 
  ARXBFB1_raw %>% 
  arrange(-value) %>% 
  mutate(
    industry = industry %>% fct_inorder(),
    `place of residence` = `place of residence` %>% fct_inorder()
  ) %>% 
  spread(`place of residence`, value) %>% 
  unite(combi, `inventory variable`, time, sep = ", ")

ARXBFB1 %>% 
  select(-c(combi, gender)) %>% 
  rename(" " = 1) %>% 
  statgl_table() %>% 
  pack_rows(index = ARXBFB1[["combi"]] %>% table()) %>% 
  row_spec(1, bold = TRUE) 

	Katillugit	Illoqarfiit	Nunaqarfiit il.il.
Agguaqatigiissillugu qaammammut saniatigooralugu suliffillit, 2022
Suliaqarfiit katillugit	28.992	25.493	3.499
Pisortat allaffissornerat kiffartuussinerallu	12.873	11.540	1.333
Aalisarneq aalisakkanillu tunisassiornermi niuerneq	4.343	3.125	1.218
Niuertunik pilersuineq atungassanillu nioqquteqarneq	3.075	2.702	373
Sanaartorneq sanaartortitsinerlu	2.308	2.258	50
Assartuineq assartugassalerinerlu	2.043	1.807	236
Akunnittarfiit neriniartarfiillu	829	794	34
Nalunaarsuuteqanngitsut	594	558	36
Paasissutissalerineq attaveqaatilerinerlu	563	555	8
Nukissiuutinik imermillu pilersuineq	417	326	91
Allaffissornikkut kiffartuussinerit	401	338	63
Kiffartuussilluni inuussutissarsiorfiit allat	318	316	3
Inissiaateqarneq	298	292	5
Namminersortunit, ilisimatusarnikkut teknikkikkullu suliaqartunit kiffartuussinerit	298	296	2
Nioqqutissiorneq	228	225	2
Aningaaseriviit aningaasaliisarfiillu	201	201	NA
Aatsitassarsiorneq	106	98	8
Nunalerineq, orpippassualerineq nunalerinermilu tunisassiorneq niuernerlu	98	62	36

Se Statistikbankens tabel: ARXBFB01

Suliffissaaleqineq

Tabel 5: Najugaqavissut akornanni agguaqatigiissillugu qaammammut suliffissaaleqisut amerlassusaat : ilinniagaq, piffissaq , naatsorsuinermi uuttuut

url <- paste0("https://bank.stat.gl/api/v1/", language, "/Greenland/AR/AR40/ARXLED6.px")

ARXLED6_raw <- 
  url |> 
  statgl_fetch(
    time      = px_top(5),
    education = px_all(),
    "inventory variable" = "P",
    .col_code = TRUE
  ) %>% 
  as_tibble()

ARXLED6_raw %>% 
  mutate(
    education = education %>% fct_inorder(),
    time = time %>% fct_inorder()
  ) %>% 
  spread(time, value) %>%
  select(-`inventory variable`) |> 
  rename(" " = 1) %>% 
  statgl_table() %>% 
  row_spec(1, bold = TRUE) |> 
  add_footnote(ARXLED6_raw[[3]][1], notation = "symbol")

	2018	2019	2020	2021	2022
Katillugit	5,0	4,3	4,5	3,7	3,2
Meeqqat atuarfiat	8,1	7,1	7,5	6,2	5,4
Ilinniarnertuunngorniarneq	1,9	1,4	1,4	0,9	0,9
Inuussutissarsiornermik ilinniarneq: Katillugit	2,4	2,1	2,3	1,8	1,5
Inuuss. Ilinniarneq: Eqqumiitsuliorneq aamma humaniora	4,2	2,6	3,4	2,8	2,0
Inuuss. Ilinniarneq: Inuussutissarsiorneq, allaffissorneq inatsisilerinerlu	1,1	0,9	1,5	1,3	1,0
Inuuss. Ilinniarneq: Ingeniørinngorniarneq, tunisassiorneq sanaartornerlu	2,1	1,8	1,9	1,6	1,6
Inuuss. Ilinniarneq: Nunalerineq, orpippassualerineq, aalisarneq uumasullu	5,3	6,1	6,5	5,2	4,1
Inuuss. Ilinniarneq: Peqqinneq atungarissaarnerlu	1,9	1,6	1,7	1,4	1,1
Inuuss. Ilinniarneq: Kiffartuussinermi suliaqarfik	3,6	3,0	3,2	2,1	1,8
Inuuss. Ilinniarneq: Allat	0,9	1,2	1,5	0,7	0,1
Angusanik qaffassaaneq	1,8	1,7	1,9	1,3	1,2
Ingerlariaqqiffiusumik ilinniarneq	0,4	0,4	0,4	0,3	0,4
* Agguaqatigiissillugu qaammammut suliffissaaleqineq pct.-inngorlugu

Se Statistikbankens tabel: ARXLED7

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Sidst opdateret: 17. april 2024