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Education

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Population by status of education

Tabel 1: Educational attainment (16-74 years) by age, place of birth, level of education, municipality, gender and time

UDXISCPROF_raw <- 
  statgl_url("UDXISCPROF", lang = language) |> 
  statgl_fetch(
    Fsted         = px_all(),
    ISCED11_level = px_all(),
    Aar           = px_top(),
    .col_code     = T
  ) |> 
  as_tibble()

UDXISCPROF <- 
  UDXISCPROF_raw |> 
  select(-Aar) |> 
  mutate(ISCED11_level = ISCED11_level |> fct_inorder()) |> 
  spread(Fsted, value)

UDXISCPROF |> 
  rename(" " = 1) |> 
  statgl_table() |> 
  row_spec(1, bold = T)

	In Greenland	Outside Greenland
In total	36.905	5.947
Lower secondary education	21.586	2.741
Upper secondary education	2.083	298
Vocational education and training	7.871	962
Supplementary examination courses	1.409	32
Short-cycle higher education	1.051	306
Bachelors programme	247	121
Professional bachelors programme	2.199	651
Masters programme	443	788
Phd. Programmes	16	48

See the table in our Statbank: UDXISCPROF

Tabel 2: Education and employment for 16-25 year olds by completed education, age, status and time

UDXUMG3_raw <- 
  statgl_url("UDXUMG3", lang = language) |> 
  statgl_fetch(
    registrering = px_all(),
    HFU          = px_all(),
    aar          = px_top(),
    .col_code    = T
  ) |> 
  as_tibble()

UDXUMG3 <- 
  UDXUMG3_raw |> 
  mutate(HFU = HFU |> fct_inorder() |>  fct_rev()) |>
  select(aar, registrering, HFU, value) |> 
  spread(HFU, value)

UDXUMG3 |> 
  select(-1) |> 
  rename(" " = 1) |> 
  statgl_table() |> 
  row_spec(1, bold = T) |> 
  column_spec(2, bold = T)

	In total	Without completed education	With completed higher education	With vocational upper secondary education completed	With general upper secondary education completed
Continuation school	266	266	0	0	0
Higher education	386	49	33	21	283
In employment	3.048	2.211	63	285	489
In total	7.323	5.850	112	379	982
NEET	2.235	2.038	8	54	135
Upper secondary education	948	926	0	8	14
Vocational education and training	440	360	8	11	61

See the table in our Statbank: UDXUMG3

Primary and lower secondary education

Tabel 3: Progress at continuation schools by unit, municipality, sex, continuation school, status and school year

UDXESG_raw <- 
  statgl_url("UDXESG", lang = language) |> 
  statgl_fetch(
    unit       = "andel",
    sex        = px_all(),
    efterskole = px_all(),
    status     = px_all(),
    skoleaar   = px_all(),
    .col_code  = T
  ) |> 
  as_tibble()


UDXESG <- 
  UDXESG_raw |> 
  filter(skoleaar == max(skoleaar)) |> 
  mutate(efterskole = efterskole |> fct_inorder() |> fct_rev(),
         sex = sex |> fct_inorder() |> fct_rev()) |> 
  unite(combi, unit, skoleaar, sep = "-")

UDXESG |> 
  select(-combi) |> 
  spread(efterskole, value) |> 
  select(sex, status, 3:6) |> 
  arrange(sex, desc(status)) |> 
  rename(" " = 1) |> 
  statgl_table() |> 
  row_spec(1:3, bold = T) |> 
  column_spec(3, bold = T) |> 
  add_footnote(UDXESG[[1]][1], notation = "symbol")

	status	In total	Danish continuation schools	Maniitsumi Efterskoli	Efterskole Villads Villadsen
In total	Enrolled in total	100	100	100	100
In total	Dropped out	37	25	72	51
In total	Completed	63	75	28	49
Girls	Enrolled in total	100	100	100	100
Girls	Dropped out	40	31	79	43
Girls	Completed	60	69	21	57
Boys	Enrolled in total	100	100	100	100
Boys	Dropped out	34	20	67	62
Boys	Completed	66	80	33	38
* share in percent-2023/2024

See the table in our Statbank: UDXESG

Tabel 4: Grade test results by subject, grade, municipality, sex, unit and time

UDXTKK_raw <- 
  statgl_url("UDXTKK", lang = language) |> 
  statgl_fetch(
    subject      = px_all(),
    grade        = px_all(),
    municipality = px_all(),
    unit         = "B",
    time         = px_top(),
    .col_code    = T
  ) |> 
  as_tibble()

UDXTKK <- 
  UDXTKK_raw |> 
  unite(combi, unit, time, sep = " ") |>
  mutate(municipality = municipality |> fct_inorder()) |> 
  spread(subject, value)

UDXTKK |> 
  select(-3) |> 
  rename(" " = 1) |> 
  statgl_table() |> 
  row_spec(c(1, 7), bold = T) |> 
  pack_rows(index = table(UDXTKK[[3]]))

	municipality	Danish	English	Greenlandic	Mathematics
Problem-solving proficiency (pct. correct) 2024
3rd grade	Total	41	NA	45	49
3rd grade	Kommune Kujalleq	30	NA	38	43
3rd grade	Kommuneqarfik Sermersooq	48	NA	43	44
3rd grade	Qeqqata Kommunia	51	NA	59	63
3rd grade	Kommune Qeqertalik	36	NA	51	51
3rd grade	Avannaata Kommunia	41	NA	48	49
7th grade	Total	42	84	56	40
7th grade	Kommune Kujalleq	36	53	49	34
7th grade	Kommuneqarfik Sermersooq	48	88	48	41
7th grade	Qeqqata Kommunia	42	88	64	40
7th grade	Kommune Qeqertalik	45	78	66	34
7th grade	Avannaata Kommunia	40	84	59	39

See the table in our Statbank: UDXTKK

Upper secondary and tertiary education

Tabel 5: Enrolment in education, 2003-2024 by level of education, fields of education, gender, country, age and time

UDXISC11A_raw <- 
  statgl_url("UDXISC11A", lang = language) |> 
  statgl_fetch(
    Isced     = px_all(),
    skoleomr  = px_all(),
    startaar  = px_top(1),
    .col_code = T
  ) |> 
  as_tibble()

UDXISC11A <- 
  UDXISC11A_raw |> 
  mutate(startaar = startaar |> fct_inorder(),
         skoleomr = skoleomr |> fct_inorder()) |> 
  spread(skoleomr, value)

UDXISC11A |> 
  select(-startaar) |> 
  rename(" " = 1) |> 
  statgl_table() |> 
  pack_rows(index = table(UDXISC11A[[2]]))

	Schools in Greenland	Schools in Denmark	Schools abroad
2024
Bachelors programme	101	48	2
Masters programme	28	21	2
Professional bachelors programme	135	80	0
Short-cycle higher education	70	26	0
Supplementary examination courses	123	2	1
Upper secondary education	471	39	2
Vocational education and training	601	73	0

See the table in our Statbank: UDXISC11A

Tabel 6: Educational status 1-10 years after enrollment in education by number of years after enrollment, level of education, country of education, status and time

UDXISC11L_raw <- 
  statgl_url("UDXISC11L", lang = language) |> 
  statgl_fetch(
    aar       = 2,
    isced     = px_all(),
    status    = px_all(),
    startaar  = px_top(3),
    .col_code = T
  ) |> 
  as_tibble()

UDXISC11L <- 
  UDXISC11L_raw |> 
  filter(value > 0) |> 
  mutate(status = status |> fct_inorder()) |> 
  spread(status, value) |> 
  unite(combi, aar, startaar, sep = " ")

UDXISC11L |> 
  select(-1) |> 
  rename(" " = 1) |> 
  statgl_table() |> 
  add_footnote(UDXISC11L[[1]][1], notation = "symbol")

	Still in education	Graduated	Dropped out	New entrants in total
Bachelors programme	57	1	73	131
Masters programme	20	12	12	44
Professional bachelors programme	104	13	94	211
Short-cycle higher education	8	51	50	109
Upper secondary education	200	6	153	359
Vocational education and training, general	135	68	265	468
Vocational education and training, short	8	135	98	241
* 2 years 2022

See the table in our Statbank: UDXISC11L

Educational progress

Tabel 7: Transition from lower secondary education to upper secondary education. by number of years after lower secondary education, level of education, municipality, gender, educational status and graduation year

UDXTRFA1_raw <- 
  statgl_url("UDXTRFA1", lang = language) |> 
  statgl_fetch(
    aar       = 0,
    isced     = px_all(),
    status    = px_all(),
    dim_aar   = px_top(),
    .col_code = T
  ) |> 
  as_tibble()

UDXTRFA1 <- 
  UDXTRFA1_raw |> 
  unite(combi, aar, dim_aar, sep = " ") |> 
  mutate(isced = isced |> fct_inorder(),
         status = status |> fct_inorder())

UDXTRFA1 |> 
  select(-1) |> 
  spread(isced, value) |> 
  rename(" " = 1) |> 
  statgl_table() |> 
  add_footnote(UDXTRFA1[[1]][1], notation = "symbol")

	Upper secondary education	Vocational education and training	No registration
In education	69	6	0
Graduated	0	0	0
Dropped out	11	0	0
Not enrolled in education	0	0	621
* Directly 2024

See the table in our Statbank: UDXTRFA1

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Last updated: 22. juni 2025