Banking structural statistical indicators

Data - ECB

Author

François Geerolf

Info

LAST_DOWNLOAD

LAST_DOWNLOAD
2025-08-28

LAST_COMPILE

LAST_COMPILE
2025-10-09

Last

Code 
SSI %>%
  group_by(TIME_PERIOD) %>%
  summarise(Nobs = n()) %>%
  arrange(desc(TIME_PERIOD)) %>%
  head(1) %>%
  print_table_conditional()
TIME_PERIOD Nobs
2024 373

TITLE

Code 
SSI %>%
  group_by(TITLE) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  {if (is_html_output()) datatable(., filter = 'top', rownames = F) else .}

FREQ

Code 
SSI %>%
  left_join(FREQ,  by = "FREQ") %>%
  group_by(FREQ, Freq) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  print_table_conditional()
FREQ Freq Nobs
A Annual 15670

REF_AREA

Code 
SSI %>%
  left_join(REF_AREA,  by = "REF_AREA") %>%
  group_by(REF_AREA, Ref_area) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  print_table_conditional()
REF_AREA Ref_area Nobs
LV Latvia 658
LT Lithuania 654
BE Belgium 568
FI Finland 568
PT Portugal 568
SE Sweden 568
DK Denmark 565
GR Greece 565
AT Austria 560
IT Italy 560
SI Slovenia 560
CZ Czech Republic 558
ES Spain 558
HU Hungary 557
CY Cyprus 556
FR France 556
IE Ireland 552
MT Malta 552
NL Netherlands 551
DE Germany 545
SK Slovakia 532
LU Luxembourg 524
EE Estonia 515
PL Poland 465
RO Romania 453
GB United Kingdom 440
BG Bulgaria 430
U2 Euro area (Member States and Institutions of the Euro Area) changing composition 326
D0 Extra-EU (changing composition) 306
HR Croatia 300

TIME_FORMAT

Code 
SSI %>%
  group_by(TIME_FORMAT) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  print_table_conditional()
TIME_FORMAT Nobs
P1Y 15670