Retrieve time series data from the OeNB Web Service.
Usage
onb_data(
hier_id,
key,
...,
start_period = NULL,
end_period = NULL,
freq = NULL,
lang = "en"
)Arguments
- hier_id
(
integer(1))
Hierarchy id to query.- key
(
character())
The series keys to query.- ...
(
any)
Additional parameters to pass to the API.- start_period
(
NULL|character(1)|integer(1))
Start date of the data.- end_period
(
NULL|character(1)|integer(1))
End date of the data.- freq
(
NULL|character(1))
Frequency of the data.- lang
(
character(1))
Language to query. Default"en".
Value
A data.table::data.table() with the requested data.
Details
A key can cover several series, such as one per partner country, which share the same key and
differ only in their attr columns. Group by key and the attr columns to separate them.
See also
Other data:
banxico_data(),
bbk_data(),
bbk_series(),
bcb_data(),
bcb_expectations(),
bcb_fx_rates(),
bcb_inflation(),
bcb_selic(),
bcb_top5(),
bde_data(),
bde_latest(),
bdf_codelist(),
bdf_data(),
bdf_dataset(),
bdp_data(),
bis_data(),
boc_data(),
boe_data(),
boi_data(),
boj_data(),
cnb_czeonia(),
cnb_data(),
cnb_fx_other_rates(),
cnb_fx_rates(),
cnb_pribor(),
ecb_data(),
nbb_data(),
nbp_fx_rates(),
nbp_gold(),
nob_data(),
snb_data(),
srb_cross_rates(),
srb_data()
Examples
# \donttest{
onb_data(hier_id = 11, key = "VDBFKBSC217000")
#> date key value freq
#> <Date> <char> <num> <char>
#> 1: 1998-01-01 VDBFKBSC217000 2558 annual
#> 2: 1999-01-01 VDBFKBSC217000 15780 annual
#> 3: 2000-01-01 VDBFKBSC217000 9552 annual
#> 4: 2001-01-01 VDBFKBSC217000 5538 annual
#> 5: 2002-01-01 VDBFKBSC217000 7815 annual
#> ---
#> 369: 2026-05-01 VDBFKBSC217000 2180 monthly
#> 370: 2026-06-01 VDBFKBSC217000 2444 monthly
#> 371: 2026-07-01 VDBFKBSC217000 2853 monthly
#> 372: 2026-08-01 VDBFKBSC217000 2666 monthly
#> 373: 2026-09-01 VDBFKBSC217000 2156 monthly
#> title attr1 attr2 attr3 attr4
#> <char> <char> <char> <char> <char>
#> 1: Loans to euro area residents - total AT 00100KI AT Z0Z
#> 2: Loans to euro area residents - total AT 00100KI AT Z0Z
#> 3: Loans to euro area residents - total AT 00100KI AT Z0Z
#> 4: Loans to euro area residents - total AT 00100KI AT Z0Z
#> 5: Loans to euro area residents - total AT 00100KI AT Z0Z
#> ---
#> 369: Loans to euro area residents - total AT 00100KI AT Z0Z
#> 370: Loans to euro area residents - total AT 00100KI AT Z0Z
#> 371: Loans to euro area residents - total AT 00100KI AT Z0Z
#> 372: Loans to euro area residents - total AT 00100KI AT Z0Z
#> 373: Loans to euro area residents - total AT 00100KI AT Z0Z
#> attr1_dim attr2_dim attr3_dim attr4_dim unit_mult unit_text
#> <char> <char> <char> <char> <char> <char>
#> 1: PRODUZENT BANKENSEKTOR REGION WAEHRUNG 6 in millions Euro
#> 2: PRODUZENT BANKENSEKTOR REGION WAEHRUNG 6 in millions Euro
#> 3: PRODUZENT BANKENSEKTOR REGION WAEHRUNG 6 in millions Euro
#> 4: PRODUZENT BANKENSEKTOR REGION WAEHRUNG 6 in millions Euro
#> 5: PRODUZENT BANKENSEKTOR REGION WAEHRUNG 6 in millions Euro
#> ---
#> 369: PRODUZENT BANKENSEKTOR REGION WAEHRUNG 6 in millions Euro
#> 370: PRODUZENT BANKENSEKTOR REGION WAEHRUNG 6 in millions Euro
#> 371: PRODUZENT BANKENSEKTOR REGION WAEHRUNG 6 in millions Euro
#> 372: PRODUZENT BANKENSEKTOR REGION WAEHRUNG 6 in millions Euro
#> 373: PRODUZENT BANKENSEKTOR REGION WAEHRUNG 6 in millions Euro
# Loans to euro area residents, since 2000:
onb_data(hier_id = 11, key = "VDBFKBSC217000", start_period = "2000-01-01")
#> date key value freq
#> <Date> <char> <num> <char>
#> 1: 2000-01-01 VDBFKBSC217000 9552 annual
#> 2: 2001-01-01 VDBFKBSC217000 5538 annual
#> 3: 2002-01-01 VDBFKBSC217000 7815 annual
#> 4: 2003-01-01 VDBFKBSC217000 6933 annual
#> 5: 2004-01-01 VDBFKBSC217000 10963 annual
#> ---
#> 343: 2026-05-01 VDBFKBSC217000 2180 monthly
#> 344: 2026-06-01 VDBFKBSC217000 2444 monthly
#> 345: 2026-07-01 VDBFKBSC217000 2853 monthly
#> 346: 2026-08-01 VDBFKBSC217000 2666 monthly
#> 347: 2026-09-01 VDBFKBSC217000 2156 monthly
#> title attr1 attr2 attr3 attr4
#> <char> <char> <char> <char> <char>
#> 1: Loans to euro area residents - total AT 00100KI AT Z0Z
#> 2: Loans to euro area residents - total AT 00100KI AT Z0Z
#> 3: Loans to euro area residents - total AT 00100KI AT Z0Z
#> 4: Loans to euro area residents - total AT 00100KI AT Z0Z
#> 5: Loans to euro area residents - total AT 00100KI AT Z0Z
#> ---
#> 343: Loans to euro area residents - total AT 00100KI AT Z0Z
#> 344: Loans to euro area residents - total AT 00100KI AT Z0Z
#> 345: Loans to euro area residents - total AT 00100KI AT Z0Z
#> 346: Loans to euro area residents - total AT 00100KI AT Z0Z
#> 347: Loans to euro area residents - total AT 00100KI AT Z0Z
#> attr1_dim attr2_dim attr3_dim attr4_dim unit_mult unit_text
#> <char> <char> <char> <char> <char> <char>
#> 1: PRODUZENT BANKENSEKTOR REGION WAEHRUNG 6 in millions Euro
#> 2: PRODUZENT BANKENSEKTOR REGION WAEHRUNG 6 in millions Euro
#> 3: PRODUZENT BANKENSEKTOR REGION WAEHRUNG 6 in millions Euro
#> 4: PRODUZENT BANKENSEKTOR REGION WAEHRUNG 6 in millions Euro
#> 5: PRODUZENT BANKENSEKTOR REGION WAEHRUNG 6 in millions Euro
#> ---
#> 343: PRODUZENT BANKENSEKTOR REGION WAEHRUNG 6 in millions Euro
#> 344: PRODUZENT BANKENSEKTOR REGION WAEHRUNG 6 in millions Euro
#> 345: PRODUZENT BANKENSEKTOR REGION WAEHRUNG 6 in millions Euro
#> 346: PRODUZENT BANKENSEKTOR REGION WAEHRUNG 6 in millions Euro
#> 347: PRODUZENT BANKENSEKTOR REGION WAEHRUNG 6 in millions Euro
# Austrian imports and exports of goods from/to Germany, 2002–2012, annual frequency:
onb_data(hier_id = 901, key = "VDBQZA1000", start_period = 2002, end_period = 2012, freq = "A")
#> date key value freq title attr1 attr2 attr3 attr4
#> <Date> <char> <num> <char> <char> <char> <char> <char> <char>
#> 1: 2002-01-01 VDBQZA1000 596 annual Goods AT D TR 000
#> 2: 2003-01-01 VDBQZA1000 679 annual Goods AT D TR 000
#> 3: 2004-01-01 VDBQZA1000 722 annual Goods AT D TR 000
#> 4: 2005-01-01 VDBQZA1000 786 annual Goods AT D TR 000
#> 5: 2006-01-01 VDBQZA1000 782 annual Goods AT D TR 000
#> ---
#> 2603: 2008-01-01 VDBQZA1000 96077 annual Goods AT D ZALCA8 000
#> 2604: 2009-01-01 VDBQZA1000 79696 annual Goods AT D ZALCA8 000
#> 2605: 2010-01-01 VDBQZA1000 93865 annual Goods AT D ZALCA8 000
#> 2606: 2011-01-01 VDBQZA1000 105492 annual Goods AT D ZALCA8 000
#> 2607: 2012-01-01 VDBQZA1000 105634 annual Goods AT D ZALCA8 000
#> attr5 attr6 attr7 attr1_dim attr2_dim attr3_dim attr4_dim
#> <char> <char> <char> <char> <char> <char> <char>
#> 1: 000 000 N PRODUZENT Z_AUSPRAEGUNG Z_PARTNERLAND Z_WAEHRUNG
#> 2: 000 000 N PRODUZENT Z_AUSPRAEGUNG Z_PARTNERLAND Z_WAEHRUNG
#> 3: 000 000 N PRODUZENT Z_AUSPRAEGUNG Z_PARTNERLAND Z_WAEHRUNG
#> 4: 000 000 N PRODUZENT Z_AUSPRAEGUNG Z_PARTNERLAND Z_WAEHRUNG
#> 5: 000 000 N PRODUZENT Z_AUSPRAEGUNG Z_PARTNERLAND Z_WAEHRUNG
#> ---
#> 2603: 000 000 N PRODUZENT Z_AUSPRAEGUNG Z_PARTNERLAND Z_WAEHRUNG
#> 2604: 000 000 N PRODUZENT Z_AUSPRAEGUNG Z_PARTNERLAND Z_WAEHRUNG
#> 2605: 000 000 N PRODUZENT Z_AUSPRAEGUNG Z_PARTNERLAND Z_WAEHRUNG
#> 2606: 000 000 N PRODUZENT Z_AUSPRAEGUNG Z_PARTNERLAND Z_WAEHRUNG
#> 2607: 000 000 N PRODUZENT Z_AUSPRAEGUNG Z_PARTNERLAND Z_WAEHRUNG
#> attr5_dim attr6_dim attr7_dim unit_mult unit_text
#> <char> <char> <char> <char> <char>
#> 1: Z_BRANCHE Z_VGR_SEKTOR Z_KUMULIERUNG 6 in millions Euro
#> 2: Z_BRANCHE Z_VGR_SEKTOR Z_KUMULIERUNG 6 in millions Euro
#> 3: Z_BRANCHE Z_VGR_SEKTOR Z_KUMULIERUNG 6 in millions Euro
#> 4: Z_BRANCHE Z_VGR_SEKTOR Z_KUMULIERUNG 6 in millions Euro
#> 5: Z_BRANCHE Z_VGR_SEKTOR Z_KUMULIERUNG 6 in millions Euro
#> ---
#> 2603: Z_BRANCHE Z_VGR_SEKTOR Z_KUMULIERUNG 6 in millions Euro
#> 2604: Z_BRANCHE Z_VGR_SEKTOR Z_KUMULIERUNG 6 in millions Euro
#> 2605: Z_BRANCHE Z_VGR_SEKTOR Z_KUMULIERUNG 6 in millions Euro
#> 2606: Z_BRANCHE Z_VGR_SEKTOR Z_KUMULIERUNG 6 in millions Euro
#> 2607: Z_BRANCHE Z_VGR_SEKTOR Z_KUMULIERUNG 6 in millions Euro
# Number of Austrian banks' subsidiaries abroad and in the EU, from 2005, semiannual:
onb_data(
hier_id = 321,
key = c("VDBKISDANZTAU", "VDBKISDANZTEU"),
start_period = 200501,
freq = "H"
)
#> date key value freq
#> <Date> <char> <num> <char>
#> 1: 2005-01-01 VDBKISDANZTAU 90 semi-annual
#> 2: 2005-07-01 VDBKISDANZTAU 90 semi-annual
#> 3: 2006-01-01 VDBKISDANZTAU 96 semi-annual
#> 4: 2006-07-01 VDBKISDANZTAU 96 semi-annual
#> 5: 2007-01-01 VDBKISDANZTAU 96 semi-annual
#> 6: 2007-07-01 VDBKISDANZTAU 102 semi-annual
#> 7: 2008-01-01 VDBKISDANZTAU 107 semi-annual
#> 8: 2008-07-01 VDBKISDANZTAU 103 semi-annual
#> 9: 2009-01-01 VDBKISDANZTAU 105 semi-annual
#> 10: 2009-07-01 VDBKISDANZTAU 103 semi-annual
#> 11: 2010-01-01 VDBKISDANZTAU 103 semi-annual
#> 12: 2010-07-01 VDBKISDANZTAU 107 semi-annual
#> 13: 2011-01-01 VDBKISDANZTAU 105 semi-annual
#> 14: 2011-07-01 VDBKISDANZTAU 105 semi-annual
#> 15: 2012-01-01 VDBKISDANZTAU 103 semi-annual
#> 16: 2012-07-01 VDBKISDANZTAU 101 semi-annual
#> 17: 2013-01-01 VDBKISDANZTAU 96 semi-annual
#> 18: 2013-07-01 VDBKISDANZTAU 93 semi-annual
#> 19: 2014-01-01 VDBKISDANZTAU 89 semi-annual
#> 20: 2014-07-01 VDBKISDANZTAU 85 semi-annual
#> 21: 2015-01-01 VDBKISDANZTAU 83 semi-annual
#> 22: 2015-07-01 VDBKISDANZTAU 83 semi-annual
#> 23: 2016-01-01 VDBKISDANZTAU 80 semi-annual
#> 24: 2016-07-01 VDBKISDANZTAU 60 semi-annual
#> 25: 2017-01-01 VDBKISDANZTAU 60 semi-annual
#> 26: 2017-07-01 VDBKISDANZTAU 58 semi-annual
#> 27: 2018-01-01 VDBKISDANZTAU 57 semi-annual
#> 28: 2018-07-01 VDBKISDANZTAU 55 semi-annual
#> 29: 2019-01-01 VDBKISDANZTAU 42 semi-annual
#> 30: 2019-07-01 VDBKISDANZTAU 53 semi-annual
#> 31: 2020-01-01 VDBKISDANZTAU 53 semi-annual
#> 32: 2020-07-01 VDBKISDANZTAU 53 semi-annual
#> 33: 2021-01-01 VDBKISDANZTAU 53 semi-annual
#> 34: 2021-07-01 VDBKISDANZTAU 55 semi-annual
#> 35: 2022-01-01 VDBKISDANZTAU 47 semi-annual
#> 36: 2022-07-01 VDBKISDANZTAU 41 semi-annual
#> 37: 2023-01-01 VDBKISDANZTAU 40 semi-annual
#> 38: 2023-07-01 VDBKISDANZTAU 40 semi-annual
#> 39: 2024-01-01 VDBKISDANZTAU 39 semi-annual
#> 40: 2024-07-01 VDBKISDANZTAU 37 semi-annual
#> 41: 2025-01-01 VDBKISDANZTAU 36 semi-annual
#> 42: 2025-07-01 VDBKISDANZTAU 35 semi-annual
#> 43: 2026-01-01 VDBKISDANZTAU 35 semi-annual
#> 44: 2005-01-01 VDBKISDANZTEU 45 semi-annual
#> 45: 2005-07-01 VDBKISDANZTEU 45 semi-annual
#> 46: 2006-01-01 VDBKISDANZTEU 45 semi-annual
#> 47: 2006-07-01 VDBKISDANZTEU 45 semi-annual
#> 48: 2007-01-01 VDBKISDANZTEU 54 semi-annual
#> 49: 2007-07-01 VDBKISDANZTEU 55 semi-annual
#> 50: 2008-01-01 VDBKISDANZTEU 54 semi-annual
#> 51: 2008-07-01 VDBKISDANZTEU 52 semi-annual
#> 52: 2009-01-01 VDBKISDANZTEU 53 semi-annual
#> 53: 2009-07-01 VDBKISDANZTEU 51 semi-annual
#> 54: 2010-01-01 VDBKISDANZTEU 51 semi-annual
#> 55: 2010-07-01 VDBKISDANZTEU 55 semi-annual
#> 56: 2011-01-01 VDBKISDANZTEU 54 semi-annual
#> 57: 2011-07-01 VDBKISDANZTEU 54 semi-annual
#> 58: 2012-01-01 VDBKISDANZTEU 54 semi-annual
#> 59: 2012-07-01 VDBKISDANZTEU 53 semi-annual
#> 60: 2013-01-01 VDBKISDANZTEU 51 semi-annual
#> 61: 2013-07-01 VDBKISDANZTEU 57 semi-annual
#> 62: 2014-01-01 VDBKISDANZTEU 53 semi-annual
#> 63: 2014-07-01 VDBKISDANZTEU 51 semi-annual
#> 64: 2015-01-01 VDBKISDANZTEU 49 semi-annual
#> 65: 2015-07-01 VDBKISDANZTEU 49 semi-annual
#> 66: 2016-01-01 VDBKISDANZTEU 46 semi-annual
#> 67: 2016-07-01 VDBKISDANZTEU 35 semi-annual
#> 68: 2017-01-01 VDBKISDANZTEU 35 semi-annual
#> 69: 2017-07-01 VDBKISDANZTEU 34 semi-annual
#> 70: 2018-01-01 VDBKISDANZTEU 35 semi-annual
#> 71: 2018-07-01 VDBKISDANZTEU 33 semi-annual
#> 72: 2019-01-01 VDBKISDANZTEU 26 semi-annual
#> 73: 2019-07-01 VDBKISDANZTEU 32 semi-annual
#> 74: 2020-01-01 VDBKISDANZTEU 32 semi-annual
#> 75: 2020-07-01 VDBKISDANZTEU 32 semi-annual
#> 76: 2021-01-01 VDBKISDANZTEU 32 semi-annual
#> 77: 2021-07-01 VDBKISDANZTEU 35 semi-annual
#> 78: 2022-01-01 VDBKISDANZTEU 27 semi-annual
#> 79: 2022-07-01 VDBKISDANZTEU 24 semi-annual
#> 80: 2023-01-01 VDBKISDANZTEU 24 semi-annual
#> 81: 2023-07-01 VDBKISDANZTEU 24 semi-annual
#> 82: 2024-01-01 VDBKISDANZTEU 24 semi-annual
#> 83: 2024-07-01 VDBKISDANZTEU 23 semi-annual
#> 84: 2025-01-01 VDBKISDANZTEU 22 semi-annual
#> 85: 2025-07-01 VDBKISDANZTEU 21 semi-annual
#> 86: 2026-01-01 VDBKISDANZTEU 21 semi-annual
#> date key value freq
#> <Date> <char> <num> <char>
#> title attr1 attr2 attr3
#> <char> <char> <char> <char>
#> 1: number of foreign subsidiaries AT BS0100510 Z5
#> 2: number of foreign subsidiaries AT BS0100510 Z5
#> 3: number of foreign subsidiaries AT BS0100510 Z5
#> 4: number of foreign subsidiaries AT BS0100510 Z5
#> 5: number of foreign subsidiaries AT BS0100510 Z5
#> 6: number of foreign subsidiaries AT BS0100510 Z5
#> 7: number of foreign subsidiaries AT BS0100510 Z5
#> 8: number of foreign subsidiaries AT BS0100510 Z5
#> 9: number of foreign subsidiaries AT BS0100510 Z5
#> 10: number of foreign subsidiaries AT BS0100510 Z5
#> 11: number of foreign subsidiaries AT BS0100510 Z5
#> 12: number of foreign subsidiaries AT BS0100510 Z5
#> 13: number of foreign subsidiaries AT BS0100510 Z5
#> 14: number of foreign subsidiaries AT BS0100510 Z5
#> 15: number of foreign subsidiaries AT BS0100510 Z5
#> 16: number of foreign subsidiaries AT BS0100510 Z5
#> 17: number of foreign subsidiaries AT BS0100510 Z5
#> 18: number of foreign subsidiaries AT BS0100510 Z5
#> 19: number of foreign subsidiaries AT BS0100510 Z5
#> 20: number of foreign subsidiaries AT BS0100510 Z5
#> 21: number of foreign subsidiaries AT BS0100510 Z5
#> 22: number of foreign subsidiaries AT BS0100510 Z5
#> 23: number of foreign subsidiaries AT BS0100510 Z5
#> 24: number of foreign subsidiaries AT BS0100510 Z5
#> 25: number of foreign subsidiaries AT BS0100510 Z5
#> 26: number of foreign subsidiaries AT BS0100510 Z5
#> 27: number of foreign subsidiaries AT BS0100510 Z5
#> 28: number of foreign subsidiaries AT BS0100510 Z5
#> 29: number of foreign subsidiaries AT BS0100510 Z5
#> 30: number of foreign subsidiaries AT BS0100510 Z5
#> 31: number of foreign subsidiaries AT BS0100510 Z5
#> 32: number of foreign subsidiaries AT BS0100510 Z5
#> 33: number of foreign subsidiaries AT BS0100510 Z5
#> 34: number of foreign subsidiaries AT BS0100510 Z5
#> 35: number of foreign subsidiaries AT BS0100510 Z5
#> 36: number of foreign subsidiaries AT BS0100510 Z5
#> 37: number of foreign subsidiaries AT BS0100510 Z5
#> 38: number of foreign subsidiaries AT BS0100510 Z5
#> 39: number of foreign subsidiaries AT BS0100510 Z5
#> 40: number of foreign subsidiaries AT BS0100510 Z5
#> 41: number of foreign subsidiaries AT BS0100510 Z5
#> 42: number of foreign subsidiaries AT BS0100510 Z5
#> 43: number of foreign subsidiaries AT BS0100510 Z5
#> 44: number of foreign subsidiaries hereof in the EU AT BS0100510 Z5
#> 45: number of foreign subsidiaries hereof in the EU AT BS0100510 Z5
#> 46: number of foreign subsidiaries hereof in the EU AT BS0100510 Z5
#> 47: number of foreign subsidiaries hereof in the EU AT BS0100510 Z5
#> 48: number of foreign subsidiaries hereof in the EU AT BS0100510 Z5
#> 49: number of foreign subsidiaries hereof in the EU AT BS0100510 Z5
#> 50: number of foreign subsidiaries hereof in the EU AT BS0100510 Z5
#> 51: number of foreign subsidiaries hereof in the EU AT BS0100510 Z5
#> 52: number of foreign subsidiaries hereof in the EU AT BS0100510 Z5
#> 53: number of foreign subsidiaries hereof in the EU AT BS0100510 Z5
#> 54: number of foreign subsidiaries hereof in the EU AT BS0100510 Z5
#> 55: number of foreign subsidiaries hereof in the EU AT BS0100510 Z5
#> 56: number of foreign subsidiaries hereof in the EU AT BS0100510 Z5
#> 57: number of foreign subsidiaries hereof in the EU AT BS0100510 Z5
#> 58: number of foreign subsidiaries hereof in the EU AT BS0100510 Z5
#> 59: number of foreign subsidiaries hereof in the EU AT BS0100510 Z5
#> 60: number of foreign subsidiaries hereof in the EU AT BS0100510 Z5
#> 61: number of foreign subsidiaries hereof in the EU AT BS0100510 Z5
#> 62: number of foreign subsidiaries hereof in the EU AT BS0100510 Z5
#> 63: number of foreign subsidiaries hereof in the EU AT BS0100510 Z5
#> 64: number of foreign subsidiaries hereof in the EU AT BS0100510 Z5
#> 65: number of foreign subsidiaries hereof in the EU AT BS0100510 Z5
#> 66: number of foreign subsidiaries hereof in the EU AT BS0100510 Z5
#> 67: number of foreign subsidiaries hereof in the EU AT BS0100510 Z5
#> 68: number of foreign subsidiaries hereof in the EU AT BS0100510 Z5
#> 69: number of foreign subsidiaries hereof in the EU AT BS0100510 Z5
#> 70: number of foreign subsidiaries hereof in the EU AT BS0100510 Z5
#> 71: number of foreign subsidiaries hereof in the EU AT BS0100510 Z5
#> 72: number of foreign subsidiaries hereof in the EU AT BS0100510 Z5
#> 73: number of foreign subsidiaries hereof in the EU AT BS0100510 Z5
#> 74: number of foreign subsidiaries hereof in the EU AT BS0100510 Z5
#> 75: number of foreign subsidiaries hereof in the EU AT BS0100510 Z5
#> 76: number of foreign subsidiaries hereof in the EU AT BS0100510 Z5
#> 77: number of foreign subsidiaries hereof in the EU AT BS0100510 Z5
#> 78: number of foreign subsidiaries hereof in the EU AT BS0100510 Z5
#> 79: number of foreign subsidiaries hereof in the EU AT BS0100510 Z5
#> 80: number of foreign subsidiaries hereof in the EU AT BS0100510 Z5
#> 81: number of foreign subsidiaries hereof in the EU AT BS0100510 Z5
#> 82: number of foreign subsidiaries hereof in the EU AT BS0100510 Z5
#> 83: number of foreign subsidiaries hereof in the EU AT BS0100510 Z5
#> 84: number of foreign subsidiaries hereof in the EU AT BS0100510 Z5
#> 85: number of foreign subsidiaries hereof in the EU AT BS0100510 Z5
#> 86: number of foreign subsidiaries hereof in the EU AT BS0100510 Z5
#> title attr1 attr2 attr3
#> <char> <char> <char> <char>
#> attr4 attr1_dim attr2_dim attr3_dim attr4_dim unit_mult unit_text
#> <char> <char> <char> <char> <char> <char> <char>
#> 1: Z0Z PRODUZENT BANKENSEKTOR REGION WAEHRUNG 0 in ones
#> 2: Z0Z PRODUZENT BANKENSEKTOR REGION WAEHRUNG 0 in ones
#> 3: Z0Z PRODUZENT BANKENSEKTOR REGION WAEHRUNG 0 in ones
#> 4: Z0Z PRODUZENT BANKENSEKTOR REGION WAEHRUNG 0 in ones
#> 5: Z0Z PRODUZENT BANKENSEKTOR REGION WAEHRUNG 0 in ones
#> 6: Z0Z PRODUZENT BANKENSEKTOR REGION WAEHRUNG 0 in ones
#> 7: Z0Z PRODUZENT BANKENSEKTOR REGION WAEHRUNG 0 in ones
#> 8: Z0Z PRODUZENT BANKENSEKTOR REGION WAEHRUNG 0 in ones
#> 9: Z0Z PRODUZENT BANKENSEKTOR REGION WAEHRUNG 0 in ones
#> 10: Z0Z PRODUZENT BANKENSEKTOR REGION WAEHRUNG 0 in ones
#> 11: Z0Z PRODUZENT BANKENSEKTOR REGION WAEHRUNG 0 in ones
#> 12: Z0Z PRODUZENT BANKENSEKTOR REGION WAEHRUNG 0 in ones
#> 13: Z0Z PRODUZENT BANKENSEKTOR REGION WAEHRUNG 0 in ones
#> 14: Z0Z PRODUZENT BANKENSEKTOR REGION WAEHRUNG 0 in ones
#> 15: Z0Z PRODUZENT BANKENSEKTOR REGION WAEHRUNG 0 in ones
#> 16: Z0Z PRODUZENT BANKENSEKTOR REGION WAEHRUNG 0 in ones
#> 17: Z0Z PRODUZENT BANKENSEKTOR REGION WAEHRUNG 0 in ones
#> 18: Z0Z PRODUZENT BANKENSEKTOR REGION WAEHRUNG 0 in ones
#> 19: Z0Z PRODUZENT BANKENSEKTOR REGION WAEHRUNG 0 in ones
#> 20: Z0Z PRODUZENT BANKENSEKTOR REGION WAEHRUNG 0 in ones
#> 21: Z0Z PRODUZENT BANKENSEKTOR REGION WAEHRUNG 0 in ones
#> 22: Z0Z PRODUZENT BANKENSEKTOR REGION WAEHRUNG 0 in ones
#> 23: Z0Z PRODUZENT BANKENSEKTOR REGION WAEHRUNG 0 in ones
#> 24: Z0Z PRODUZENT BANKENSEKTOR REGION WAEHRUNG 0 in ones
#> 25: Z0Z PRODUZENT BANKENSEKTOR REGION WAEHRUNG 0 in ones
#> 26: Z0Z PRODUZENT BANKENSEKTOR REGION WAEHRUNG 0 in ones
#> 27: Z0Z PRODUZENT BANKENSEKTOR REGION WAEHRUNG 0 in ones
#> 28: Z0Z PRODUZENT BANKENSEKTOR REGION WAEHRUNG 0 in ones
#> 29: Z0Z PRODUZENT BANKENSEKTOR REGION WAEHRUNG 0 in ones
#> 30: Z0Z PRODUZENT BANKENSEKTOR REGION WAEHRUNG 0 in ones
#> 31: Z0Z PRODUZENT BANKENSEKTOR REGION WAEHRUNG 0 in ones
#> 32: Z0Z PRODUZENT BANKENSEKTOR REGION WAEHRUNG 0 in ones
#> 33: Z0Z PRODUZENT BANKENSEKTOR REGION WAEHRUNG 0 in ones
#> 34: Z0Z PRODUZENT BANKENSEKTOR REGION WAEHRUNG 0 in ones
#> 35: Z0Z PRODUZENT BANKENSEKTOR REGION WAEHRUNG 0 in ones
#> 36: Z0Z PRODUZENT BANKENSEKTOR REGION WAEHRUNG 0 in ones
#> 37: Z0Z PRODUZENT BANKENSEKTOR REGION WAEHRUNG 0 in ones
#> 38: Z0Z PRODUZENT BANKENSEKTOR REGION WAEHRUNG 0 in ones
#> 39: Z0Z PRODUZENT BANKENSEKTOR REGION WAEHRUNG 0 in ones
#> 40: Z0Z PRODUZENT BANKENSEKTOR REGION WAEHRUNG 0 in ones
#> 41: Z0Z PRODUZENT BANKENSEKTOR REGION WAEHRUNG 0 in ones
#> 42: Z0Z PRODUZENT BANKENSEKTOR REGION WAEHRUNG 0 in ones
#> 43: Z0Z PRODUZENT BANKENSEKTOR REGION WAEHRUNG 0 in ones
#> 44: Z0Z PRODUZENT BANKENSEKTOR REGION WAEHRUNG 0 in ones
#> 45: Z0Z PRODUZENT BANKENSEKTOR REGION WAEHRUNG 0 in ones
#> 46: Z0Z PRODUZENT BANKENSEKTOR REGION WAEHRUNG 0 in ones
#> 47: Z0Z PRODUZENT BANKENSEKTOR REGION WAEHRUNG 0 in ones
#> 48: Z0Z PRODUZENT BANKENSEKTOR REGION WAEHRUNG 0 in ones
#> 49: Z0Z PRODUZENT BANKENSEKTOR REGION WAEHRUNG 0 in ones
#> 50: Z0Z PRODUZENT BANKENSEKTOR REGION WAEHRUNG 0 in ones
#> 51: Z0Z PRODUZENT BANKENSEKTOR REGION WAEHRUNG 0 in ones
#> 52: Z0Z PRODUZENT BANKENSEKTOR REGION WAEHRUNG 0 in ones
#> 53: Z0Z PRODUZENT BANKENSEKTOR REGION WAEHRUNG 0 in ones
#> 54: Z0Z PRODUZENT BANKENSEKTOR REGION WAEHRUNG 0 in ones
#> 55: Z0Z PRODUZENT BANKENSEKTOR REGION WAEHRUNG 0 in ones
#> 56: Z0Z PRODUZENT BANKENSEKTOR REGION WAEHRUNG 0 in ones
#> 57: Z0Z PRODUZENT BANKENSEKTOR REGION WAEHRUNG 0 in ones
#> 58: Z0Z PRODUZENT BANKENSEKTOR REGION WAEHRUNG 0 in ones
#> 59: Z0Z PRODUZENT BANKENSEKTOR REGION WAEHRUNG 0 in ones
#> 60: Z0Z PRODUZENT BANKENSEKTOR REGION WAEHRUNG 0 in ones
#> 61: Z0Z PRODUZENT BANKENSEKTOR REGION WAEHRUNG 0 in ones
#> 62: Z0Z PRODUZENT BANKENSEKTOR REGION WAEHRUNG 0 in ones
#> 63: Z0Z PRODUZENT BANKENSEKTOR REGION WAEHRUNG 0 in ones
#> 64: Z0Z PRODUZENT BANKENSEKTOR REGION WAEHRUNG 0 in ones
#> 65: Z0Z PRODUZENT BANKENSEKTOR REGION WAEHRUNG 0 in ones
#> 66: Z0Z PRODUZENT BANKENSEKTOR REGION WAEHRUNG 0 in ones
#> 67: Z0Z PRODUZENT BANKENSEKTOR REGION WAEHRUNG 0 in ones
#> 68: Z0Z PRODUZENT BANKENSEKTOR REGION WAEHRUNG 0 in ones
#> 69: Z0Z PRODUZENT BANKENSEKTOR REGION WAEHRUNG 0 in ones
#> 70: Z0Z PRODUZENT BANKENSEKTOR REGION WAEHRUNG 0 in ones
#> 71: Z0Z PRODUZENT BANKENSEKTOR REGION WAEHRUNG 0 in ones
#> 72: Z0Z PRODUZENT BANKENSEKTOR REGION WAEHRUNG 0 in ones
#> 73: Z0Z PRODUZENT BANKENSEKTOR REGION WAEHRUNG 0 in ones
#> 74: Z0Z PRODUZENT BANKENSEKTOR REGION WAEHRUNG 0 in ones
#> 75: Z0Z PRODUZENT BANKENSEKTOR REGION WAEHRUNG 0 in ones
#> 76: Z0Z PRODUZENT BANKENSEKTOR REGION WAEHRUNG 0 in ones
#> 77: Z0Z PRODUZENT BANKENSEKTOR REGION WAEHRUNG 0 in ones
#> 78: Z0Z PRODUZENT BANKENSEKTOR REGION WAEHRUNG 0 in ones
#> 79: Z0Z PRODUZENT BANKENSEKTOR REGION WAEHRUNG 0 in ones
#> 80: Z0Z PRODUZENT BANKENSEKTOR REGION WAEHRUNG 0 in ones
#> 81: Z0Z PRODUZENT BANKENSEKTOR REGION WAEHRUNG 0 in ones
#> 82: Z0Z PRODUZENT BANKENSEKTOR REGION WAEHRUNG 0 in ones
#> 83: Z0Z PRODUZENT BANKENSEKTOR REGION WAEHRUNG 0 in ones
#> 84: Z0Z PRODUZENT BANKENSEKTOR REGION WAEHRUNG 0 in ones
#> 85: Z0Z PRODUZENT BANKENSEKTOR REGION WAEHRUNG 0 in ones
#> 86: Z0Z PRODUZENT BANKENSEKTOR REGION WAEHRUNG 0 in ones
#> attr4 attr1_dim attr2_dim attr3_dim attr4_dim unit_mult unit_text
#> <char> <char> <char> <char> <char> <char> <char>
# }