Main national accounts tax aggregates - gov_10a_taxag

Data - Eurostat

Author

Info

DOWNLOAD_TIME

Code

tibble(DOWNLOAD_TIME = as.Date(file.info("~/Library/Mobile\ Documents/com~apple~CloudDocs/website/data/eurostat/gov_10a_taxag.RData")$mtime)) %>%
  print_table_conditional()

DOWNLOAD_TIME
2024-11-21

Last

Code

gov_10a_taxag %>%
  group_by(time) %>%
  summarise(Nobs = n()) %>%
  arrange(desc(time)) %>%
  head(1) %>%
  print_table_conditional()

time	Nobs
2023	82190

unit

Code

gov_10a_taxag %>%
  left_join(unit, by = "unit") %>%
  group_by(unit, Unit) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  {if (is_html_output()) print_table(.) else .}

unit	Unit	Nobs
MIO_EUR	Million euro	601712
PC_GDP	Percentage of gross domestic product (GDP)	601712
MIO_NAC	Million units of national currency	601680
PC_TOT	Percentage of total	594224

sector

Code

gov_10a_taxag %>%
  left_join(sector, by = "sector") %>%
  group_by(sector, Sector) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  {if (is_html_output()) print_table(.) else .}

sector	Sector	Nobs
S212	Institutions of the EU	349226
S1312	State government	346492
S1313	Local government	343220
S1314	Social security funds	342818
S1311	Central government	341964
S13_S212	General government; institutions of the EU	337864
S13	General government	337744

na_item

All

Code

gov_10a_taxag %>%
  left_join(na_item, by = "na_item") %>%
  group_by(na_item, Na_item) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  {if (is_html_output()) datatable(., filter = 'top', rownames = F) else .}

geo

Code

gov_10a_taxag %>%
  left_join(geo, by = "geo") %>%
  group_by(geo, Geo) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  mutate(Flag = gsub(" ", "-", str_to_lower(Geo)),
         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 .}

time

Code

gov_10a_taxag %>%
  group_by(time) %>%
  summarise(Nobs = n()) %>%
  arrange(desc(time)) %>%
  print_table_conditional()

France, Germany, Italy

Table, 2020

Code

gov_10a_taxag %>%
  filter(sector == "S13",
         time == "2020",
         unit == "PC_GDP",
         geo %in% c("FR", "DE", "IT")) %>%
  select_if(~ n_distinct(.) > 1) %>%
  left_join(na_item, by = "na_item") %>%
  left_join(geo, by = "geo") %>%
  select(-geo) %>%
  spread(Geo, values) %>%
  print_table_conditional()