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Public finances

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Employees

Tabel 1: Public employees by sector, function, time and inventory variable

OFXOA1_raw <- 
  statgl_url("OFXOA1", lang = language) %>% 
  statgl_fetch(
    time                 = px_top(),
    "function"           = px_all(),
    "inventory variable" = "F",
    .col_code            = TRUE
  ) %>% 
  as_tibble()

OFXOA1 <- 
  OFXOA1_raw %>% 
  mutate(
    `function` = `function` %>% str_remove_all("[:digit:]|\\.") %>% trimws(),
    `function` = `function` %>% fct_reorder(value, .fun = sum, .desc = TRUE)
    ) %>% 
  spread(`inventory variable`, value) %>% 
  arrange(`function`)

OFXOA1 %>% 
  select(-time) %>% 
  rename(" " = 1) %>% 
  statgl_table(replace_0s = TRUE) %>% 
  pack_rows(index = OFXOA1[["time"]] %>% table()) %>% 
  row_spec(1, bold = TRUE)

	Full-time employees
2022
Total	11.224
Social protection	4.627
Education	2.422
Health	1.650
General public services	1.287
Economic affairs	577
Recreation, culture and religion	337
Environmental protection	265
Public order and safety	31
Housing and community amenities	29
Defence	0

See the table in our Statbank: OFXOA1

Municipal accounts

Tabel 2: Preschool by residence, daycare institutions, keyfigures, time and district

OFXUKN1_raw <- 
  statgl_url("OFXUKN1", lang = language) %>%
  statgl_fetch(
    time       = px_top(),
    district   = c("000", "955", "956", "957", "958", "959", "960"),
    keyfigures = px_all(),
    .col_code  = TRUE
  ) %>% 
  as_tibble()

OFXUKN1 <- 
  OFXUKN1_raw %>% 
  filter(value != "NA") %>% 
  mutate(
    keyfigures = keyfigures %>% fct_inorder(),
    district = district %>% fct_reorder(value, .fun = sum, .desc = TRUE)
  ) %>% 
  spread(district, value)

OFXUKN1 %>% 
  select(-time) %>% 
  rename(" " = 1) %>% 
  statgl_table() %>% 
  pack_rows(index = OFXUKN1[["time"]] %>% table())

	All Municipality	Kommuneqarfik Sermersooq	Avannaata Kommunia	Qeqqata Kommunia	Kommune Qeqertalik	Kommune Kujalleq
2022
All children in daycare	3.718,0	1.428,0	713,0	712,0	462,0	403,0
Children 0 years	134,0	29,0	18,0	49,0	23,0	15,0
Children 1-2 years	1.413,0	559,0	252,0	272,0	168,0	162,0
Children 3-5 years	2.153,0	835,0	434,0	388,0	270,0	226,0
Children 6 years	18,0	5,0	9,0	3,0	1,0	0,0
Childcare/nursery managers	76,0	24,0	13,0	19,0	10,0	11,0
Pedagogues	153,0	63,0	32,0	24,0	14,0	20,0
Pedegogical educated staff	252,0	102,0	45,0	46,0	29,0	30,0
Childcare workers	475,0	178,0	100,0	96,0	66,0	35,0
Kitchen and cleaning workers	174,0	57,0	42,0	24,0	27,0	25,0
Total full-time employees	1.129,0	423,0	231,0	209,0	144,0	121,0
Children units	4.749,0	1.820,0	893,0	926,0	589,0	521,0
Pedagogues of staff (pct.)	17,4	18,3	18,1	14,5	12,5	23,8
Children units per staff	5,4	5,3	5,1	5,6	5,5	6,1
Coverage of children 0-5 years (pct.)	75,8	71,6	70,3	84,2	87,0	77,5
Daycare institutions	158,0	47,0	38,0	35,0	21,0	17,0

See the table in our Statbank: OFXUKN1

Public finances

Tabel 3: Expenditure of general government sector by function by sector and function

OFXFUNK_raw <- 
  statgl_url("OFXFUNK", lang = language) %>%
  statgl_fetch(
    time       = px_top(),
    sector     = 0,
    "function" = c(0, 1, 8, 11, 17, 25, 29, 33, 39, 44, 50),
    .col_code  = TRUE
  ) %>% 
  as_tibble()

OFXFUNK <- 
  OFXFUNK_raw %>% 
  mutate(
    `function` = `function` %>% 
      str_remove_all("[:digit:]|\\.") %>% 
      trimws() %>% 
      fct_reorder(value, .fun = sum, .desc = TRUE)
    ) %>% 
  spread(sector, value)

OFXFUNK %>% 
  select(-time) %>% 
  rename(" " = 1) %>% 
  statgl_table() %>% 
  pack_rows(index = OFXFUNK[["time"]] %>% table()) %>% 
  row_spec(1, bold = TRUE) |> 
  add_footnote("i 1.000 kr.", notation = "symbol")

	General government sector, total
2022
Total	12.799.615
Social protection	3.717.991
Education	2.115.774
General public services	1.800.941
Health	1.778.459
Economic affairs	1.186.866
Public order andsafety	962.823
Recreation, culture and religion	371.474
Housing and community amenities	343.208
Defence	278.368
Environmental protection	243.711
* i 1.000 kr.

See the table in our Statbank: OFXFUNK

Tabel 4: Revenue of general government by sector and transaction

OFXREAI_raw <- 
  statgl_url("OFXREAI", lang = language) %>%
  statgl_fetch(
    sector      = 0,
    transaction = c(0, 1, 2, 5, 8, 12, 13, 14, 15, 16, 29, 30, 31, 42, 43),
    time        = px_top(),
    .col_code   = TRUE
  ) %>% 
  as_tibble()

OFXREAI <- 
  OFXREAI_raw %>% 
  mutate(
    transaction = transaction %>% str_remove_all("[:digit:]|\\+|\\(|\\)") %>% trimws() %>% fct_inorder()
    ) %>% 
  mutate_if(is.integer, replace_na, replace = 0) %>% 
  filter(value != 0) %>% 
  spread(sector, value)
  
  
OFXREAI %>% 
  select(-time) %>% 
  arrange(desc(transaction)) %>% 
  rename(" " = 1) %>% 
  statgl_table(replace_0s = TRUE) %>% 
  pack_rows(index = OFXREAI[["time"]] %>% table()) %>% 
  row_spec(1, bold = TRUE) |> 
  add_footnote("i 1.000 kr.", notation = "symbol")

	General government sector, total
2022
Current surpluss gross saving	13.527.882
Current revenue, total	13.527.882
Other income transfers, total	5.650.844
Current taxes on income, wealth etc.	5.317.816
Taxes on production and imports	1.389.473
Interest etc.	399.162
Withdrawal of income from quasi-corporations	83.123
Gross operating surplus	687.465
* i 1.000 kr.

See the table in our Statbank: OFXREAI

Accounts of the Greenland Treasury

Tabellerne er for store. Se statistikbanken under Offentlige finanser, regnskabstal for landskassen.

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Last updated: 17. april 2024