Balance sheets for non-financial assets, SNA93 - SNA_TABLE9B_SNA93

Data - OECD

Author

Layout

OECD Website. html

Nobs - Javascript

Code

SNA_TABLE9B_SNA93 %>%
  left_join(SNA_TABLE9B_SNA93_var %>% pluck("TRANSACT"), by = c("TRANSACT" = "id")) %>%
  rename(`TRANSACT Description` = label) %>%
  group_by(TRANSACT, `TRANSACT Description`, SECTOR) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  {if (is_html_output()) datatable(., filter = 'top', rownames = F) else .}

Data Structure

Code

SNA_TABLE9B_SNA93_var %>%
  pluck("VAR_DESC") %>%
  {if (is_html_output()) print_table(.) else .}

id	description
LOCATION	Country
TRANSACT	Transaction
SECTOR	Sector
MEASURE	Measure
TIME	Year
OBS_VALUE	Observation Value
TIME_FORMAT	Time Format
OBS_STATUS	Observation Status
UNIT	Unit
POWERCODE	Unit multiplier
REFERENCEPERIOD	Reference period

TRANSACT

Code

SNA_TABLE9B_SNA93 %>%
  left_join(SNA_TABLE9B_SNA93_var %>% pluck("TRANSACT"), by = c("TRANSACT" = "id")) %>%
  rename(`TRANSACT Description` = label) %>%
  group_by(TRANSACT, `TRANSACT Description`) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  {if (is_html_output()) datatable(., filter = 'top', rownames = F) else .}

SECTOR

Code

SNA_TABLE9B_SNA93 %>%
  left_join(SNA_TABLE9B_SNA93_var %>% pluck("SECTOR"), by = c("SECTOR" = "id")) %>%
  rename(`SECTOR Description` = label) %>%
  group_by(SECTOR, `SECTOR Description`) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  {if (is_html_output()) print_table(.) else .}

SECTOR	SECTOR Description	Nobs
NS1	Total economy	7139
NS13	General government	4593
NS14_S15	Households and non-profit institutions serving households	4593
NS11	Non-financial corporations	4584
NS12	Financial corporations	4260