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Short term trends

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Short term trends

Tabel 1: Custom, import and stamp duties by commodity and time

KOXAFG_raw <- 
  statgl_url("KOXAFG", lang = language) %>% 
  statgl_fetch(
    commodity = c(0, 1, 15),
    time = px_top(8),
    .col_code = TRUE
  ) %>% 
  as_tibble()
  
KOXAFG <- 
  KOXAFG_raw %>%
  mutate(commodity = commodity %>% str_remove("1.|2.") %>% trimws()) %>% 
  arrange(desc(time)) %>% 
  mutate(time = time %>% fct_inorder()) %>% 
  spread(time, value)
  
KOXAFG %>% 
  rename(" " = 1) %>% 
  statgl_table() %>% 
  row_spec(1, bold = TRUE)

	2023Q4	2023Q3	2023Q2	2023Q1	2022Q4	2022Q3	2022Q2	2022Q1
Custom and import duties	195,5	165,4	79,4	119,8	172,1	194	133,8	98,2
Custom, import and stamp duties	205,6	176,8	87,8	142,6	183,5	204	144,2	107,2
Stamp duties	10,2	11,5	8,4	22,7	11,4	10	10,5	9,0

See the table in our Statbank: KOXAFG

Tabel 2: Retail trade index (index 2010=100)

KOXDET_raw <- 
  statgl_url("KOXDET", lang = language) %>%
  statgl_fetch(
    time = px_top(8),
    "specification method" = 3,
    .col_code     = TRUE
  ) %>% 
  as_tibble()

KOXDET <-
  KOXDET_raw %>% 
  arrange(desc(time)) %>% 
  mutate(time = time %>% fct_inorder()) %>% 
  spread(time, value)

KOXDET %>% 
  rename(" " = 1) %>% 
  statgl_table()

	2023Q4	2023Q3	2023Q2	2023Q1	2022Q4	2022Q3	2022Q2	2022Q1
Quarterly change, seasonal adjusted (pct.)	-1,9	1,5	0,1	-0,3	0	2,1	1,4	-0,4

See the table in our Statbank: KOXDET

Tabel 3: Mortgage loans, outstanding amounts by type of property

KOXOBL_raw <- 
  statgl_url("KOXOBL", lang = language) %>%
  statgl_fetch(
    time = px_top(8),
    "type of property" = px_all(),
    .col_code = TRUE
  ) %>% 
  as_tibble()

KOXOBL <- 
  KOXOBL_raw %>% 
  arrange(desc(time)) %>% 
  mutate(
    `type of property` = `type of property` %>% str_remove_all("[:digit:]|[:punct:]") %>% trimws(),
    `type of property` = `type of property` %>% fct_inorder(),
    time = time %>% fct_inorder()
         ) %>% 
  filter(value != 0.0) %>% 
  spread(time, value) %>% 
  mutate_if(is.numeric, ~replace(., is.na(.), 0))
 

KOXOBL %>% 
  rename(" " = 1) %>% 
  statgl_table(replace_0s = TRUE) %>% 
  row_spec(1, bold = TRUE)

	2023Q4	2023Q3	2023Q2	2023Q1	2022Q4	2022Q3	2022Q2	2022Q1
Total	5.000	4.979	4.943	4.973	4.989	5.006	5.022	4.964
Owneroccupied properties	2.754	2.765	2.781	2.791	2.798	2.814	2.864	2.864
Shared ownership properties	547	536	542	548	490	481	440	397
Privat rental properties	872	887	828	1.123	1.201	1.200	1.207	1.194
Offices and businesses	698	660	660	511	500	511	511	509
Properties for social and cultural purpose	129	130	131	0	0	0	0	0

See the table in our Statbank: KOXOBL

Tabel 4: Current income tax, payable by time, municipality and type

KOXSKT_raw <- 
  statgl_url("KOXSKT", lang = language) %>%
  statgl_fetch(
    time = px_top(),
    municipal = px_all(),
    type = px_all(),
    .col_code = TRUE
  ) %>% 
  as_tibble()

KOXSKT <- 
  KOXSKT_raw %>% 
  mutate(municipal = municipal %>% fct_inorder()) %>% 
  drop_na() %>% 
  spread(municipal, value) %>% 
  mutate(type = type %>% str_remove("1.") %>% str_remove("[:digit:]") %>% trimws()) %>% 
  mutate_if(is.numeric, ~replace(., is.na(.), 0))

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

	All municipalities	Kommune Kujalleq	Kommuneqarfik Sermersooq	Qeqqata Kommunia	Qeqertalik Kommune	Avannaata Kommunia	Outside municipalities
2023Q4
Income tax, total	1.459	127,2	748	216,9	113,8	223,1	29,1
National tax	344	28,9	178	51,7	25,9	50,7	8,2
Joint municipal tax	201	17,3	107	31,0	15,5	30,4	0,0
Municipal tax	893	80,9	463	134,3	72,4	142,0	0,0
Special national tax	21	0,0	0	0,0	0,0	0,0	21,0

See the table in our Statbank: KOXSKT

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Last updated: 17. april 2024