---

Education

---

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(
    "place of birth"     = px_all(),
    `level of education` = px_all(),
    time                 = px_top(),
    .col_code            = T
  ) |> 
  as_tibble()

UDXISCPROF <- 
  UDXISCPROF_raw |> 
  select(-time) |> 
  mutate(`level of education` = `level of education` |> fct_inorder()) |> 
  spread(`place of birth`, value)

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

	In Greenland	Outside Greenland
In total	37.028	5.649
Lower secondary education	22.345	2.905
Upper secondary education	1.896	219
Vocational education and training	7.636	872
Supplementary examination courses	1.442	34
Short-cycle higher education	980	250
Bachelors programme	223	93
Professional bachelors programme	2.079	573
Masters programme	411	665
Phd. Programmes	16	38

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	289	289	0	0	0
Higher education	406	76	25	15	290
In employment	3.068	2.403	56	252	357
In total	7.557	6.281	103	356	817
NEET	2.304	2.122	11	68	103
Upper secondary education	1.015	1.000	0	6	9
Vocational education and training	475	391	11	15	58

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(),
    `continuation school` = px_all(),
    status                = px_all(),
    `school year`         = px_all(),
    .col_code             = T
  ) |> 
  as_tibble()


UDXESG <- 
  UDXESG_raw |> 
  filter(`school year` == max(`school year`)) |> 
  mutate(`continuation school` = `continuation school` |> fct_inorder() |> fct_rev(),
         sex = sex |> fct_inorder() |> fct_rev()) |> 
  unite(combi, unit, `school year`, sep = "-")

UDXESG |> 
  select(-combi) |> 
  spread(`continuation school`, value) |> 
  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	Completed	69	75	59	55
In total	Dropped out	31	25	41	45
In total	Enrolled in total	100	100	100	100
Girls	Completed	71	78	63	54
Girls	Dropped out	29	22	37	46
Girls	Enrolled in total	100	100	100	100
Boys	Completed	67	72	56	58
Boys	Dropped out	34	28	44	42
Boys	Enrolled in total	100	100	100	100
* share in percent-2022/20

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) 2023
3rd grade	Total	48	NA	48	52
3rd grade	Kommune Kujalleq	55	NA	57	56
3rd grade	Kommuneqarfik Sermersooq	50	NA	39	53
3rd grade	Qeqqata Kommunia	49	NA	59	57
3rd grade	Kommune Qeqertalik	40	NA	52	44
3rd grade	Avannaata Kommunia	43	NA	44	49
7th grade	Total	45	86	59	41
7th grade	Kommune Kujalleq	40	81	52	33
7th grade	Kommuneqarfik Sermersooq	53	92	51	45
7th grade	Qeqqata Kommunia	48	86	67	45
7th grade	Kommune Qeqertalik	40	86	67	44
7th grade	Avannaata Kommunia	41	75	62	40

See the table in our Statbank: UDXTKK

Upper secondary and tertiary education

Tabel 5: Enrolment in education, 2003-2022 by level of education, fields of education, gender, country, age and time

UDXISC11A_raw <- 
  statgl_url("UDXISC11A", lang = language) |> 
  statgl_fetch(
    "level of education" = px_all(),
    country              = px_all(),
    time                 = px_top(1),
    .col_code            = T
  ) |> 
  as_tibble()

UDXISC11A <- 
  UDXISC11A_raw |> 
  mutate(time = time |> fct_inorder(),
         country = country |> fct_inorder()) |> 
  spread(country, value)

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

	Schools in Greenland	Schools in Denmark	Schools abroad
2022
Bachelors programme	67	56	5
Masters programme	15	29	2
Professional bachelors programme	129	67	0
Short-cycle higher education	85	39	3
Supplementary examination courses	191	7	0
Upper secondary education	416	27	2
Vocational education and training	655	38	2

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(
    "number of years after enrollment" = 2,
    "level of education"               = px_all(),
    status                             = px_all(),
    time                               = px_top(3),
    .col_code                          = T
  ) |> 
  as_tibble()

UDXISC11L <- 
  UDXISC11L_raw |> 
  filter(value > 0) |> 
  mutate(status = status |> fct_inorder()) |> 
  spread(status, value) |> 
  unite(combi, `number of years after enrollment`, time, 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	87	2	75	164
Masters programme	24	12	9	45
Professional bachelors programme	97	5	86	188
Short-cycle higher education	9	50	45	104
Upper secondary education	302	2	166	470
Vocational education and training, general	163	77	247	487
Vocational education and training, short	6	182	88	276
* 2 years 2020

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(
    "number of years after lower secondary education" = 0,
    "level of education"                              = px_all(),
    "educational status"                              = px_all(),
    "graduation year"                                 = px_top(),
    .col_code                                         = T
  ) |> 
  as_tibble()

UDXTRFA1 <- 
  UDXTRFA1_raw |> 
  unite(combi, `number of years after lower secondary education`, `graduation year`, sep = " ") |> 
  mutate(`level of education` = `level of education` |> fct_inorder(),
         `educational status` = `educational status` |> fct_inorder())

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

	Upper secondary education	Vocational education and training	No registration
In education	88	8	0
Graduated	0	0	0
Dropped out	10	1	0
Not enrolled in education	0	0	571
* Directly 2022

See the table in our Statbank: UDXTRFA1

---

Last updated: 17. april 2024