National consumer price index (CPI) by COICOP, percentage change from previous year (%) - CPI_NCYR_COI_RT_M

Data - ILO

Last observation: juin 2026 (N = 381)

First observation: janv. 1915 (N = 1)

Last data update: 01 août 2026, 21:27

Last compile: 16 sept. 2026, 19:08

ref_area

CPI_NCYR_COI_RT_M |>
  left_join(ref_area, by = "ref_area") |>
  group_by(ref_area, Ref_area) |>
  summarise(Nobs = n()) |>
  mutate(Flag = gsub(" ", "-", str_to_lower(Ref_area)),
         Flag = paste0('<img src="../../bib/flags/vsmall/', Flag, '.png" alt="Flag">')) |>
  select(Flag, everything()) %>%
  {if (is_html_output()) datatable(., filter = 'top', rownames = F, escape = F) else .}

indicator

CPI_NCYR_COI_RT_M |>
  left_join(indicator, by = "indicator") |>
  group_by(indicator, Indicator) |>
  summarise(Nobs = n()) %>%
  {if (is_html_output()) print_table(.) else .}

indicator	Indicator	Nobs
CPI_NCYR_COI_RT	National consumer price index (CPI) by COICOP, percentage change from previous year (%)	536235

classif1

CPI_NCYR_COI_RT_M |>
  left_join(classif1, by = "classif1") |>
  group_by(classif1, Classif1) |>
  summarise(Nobs = n()) %>%
  {if (is_html_output()) print_table(.) else .}

classif1	Classif1	Nobs
COI_COICOP_CP01	COICOP2012: 1. Food and non-alcoholic beverages	50070
COI_COICOP_CP01T12	COICOP2012: General - Individual consumption expenditure of households	65121
COI_COICOP_CP02	COICOP2012: 2. Alcoholic beverages, tobacco and narcotics	38400
COI_COICOP_CP03	COICOP2012: 3. Clothing and footwear	39480
COI_COICOP_CP04	COICOP2012: 4. Housing, water, electricity, gas and other fuels	39574
COI_COICOP_CP05	COICOP2012: 5. Furnishings, household equipment and routine household maintenance	39183
COI_COICOP_CP06	COICOP2012: 6. Health	38774
COI_COICOP_CP07	COICOP2012: 7. Transport	39531
COI_COICOP_CP08	COICOP2012: 8. Communication	35451
COI_COICOP_CP09	COICOP2012: 9. Recreation and culture	38903
COI_COICOP_CP10	COICOP2012: 10. Education	35849
COI_COICOP_CP11	COICOP2012: 11. Restaurants and hotels	36848
COI_COICOP_CP12	COICOP2012: 12. Miscellaneous goods and services	39051

source

CPI_NCYR_COI_RT_M |>
  left_join(source, by = "source") |>
  group_by(source, Source) |>
  summarise(Nobs = n()) |>
  arrange(-Nobs) %>%
  {if (is_html_output()) datatable(., filter = 'top', rownames = F) else .}