Retrieve a single series by its key via the Bundesbank SDMX Web Service.
Arguments
- key
(
NULL|character())
The series keys to query.
Value
A data.table::data.table() with the requested data.
See also
bbk_data() for an endpoint with more options.
Other data:
banxico_data(),
bbk_data(),
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(),
boj_data(),
cnb_czeonia(),
cnb_data(),
cnb_fx_other_rates(),
cnb_fx_rates(),
cnb_pribor(),
ecb_data(),
nbp_fx_rates(),
nbp_gold(),
nob_data(),
onb_data(),
snb_data(),
srb_cross_rates(),
srb_data()
Examples
# \donttest{
bbk_series("BBEX3.M.DKK.EUR.BB.AC.A01")
#> date key value freq
#> <Date> <char> <num> <char>
#> 1: 1999-01-01 BBEX3.M.DKK.EUR.BB.AC.A01 7.4359 monthly
#> 2: 1999-02-01 BBEX3.M.DKK.EUR.BB.AC.A01 7.4344 monthly
#> 3: 1999-03-01 BBEX3.M.DKK.EUR.BB.AC.A01 7.4317 monthly
#> 4: 1999-04-01 BBEX3.M.DKK.EUR.BB.AC.A01 7.4323 monthly
#> 5: 1999-05-01 BBEX3.M.DKK.EUR.BB.AC.A01 7.4318 monthly
#> ---
#> 326: 2026-02-01 BBEX3.M.DKK.EUR.BB.AC.A01 7.4718 monthly
#> 327: 2026-03-01 BBEX3.M.DKK.EUR.BB.AC.A01 7.4730 monthly
#> 328: 2026-04-01 BBEX3.M.DKK.EUR.BB.AC.A01 7.4716 monthly
#> 329: 2026-05-01 BBEX3.M.DKK.EUR.BB.AC.A01 7.4731 monthly
#> 330: 2026-06-01 BBEX3.M.DKK.EUR.BB.AC.A01 7.4744 monthly
#> title
#> <char>
#> 1: Euro foreign exchange reference rate of the ECB / EUR 1 = DKK ... / Denmark
#> 2: Euro foreign exchange reference rate of the ECB / EUR 1 = DKK ... / Denmark
#> 3: Euro foreign exchange reference rate of the ECB / EUR 1 = DKK ... / Denmark
#> 4: Euro foreign exchange reference rate of the ECB / EUR 1 = DKK ... / Denmark
#> 5: Euro foreign exchange reference rate of the ECB / EUR 1 = DKK ... / Denmark
#> ---
#> 326: Euro foreign exchange reference rate of the ECB / EUR 1 = DKK ... / Denmark
#> 327: Euro foreign exchange reference rate of the ECB / EUR 1 = DKK ... / Denmark
#> 328: Euro foreign exchange reference rate of the ECB / EUR 1 = DKK ... / Denmark
#> 329: Euro foreign exchange reference rate of the ECB / EUR 1 = DKK ... / Denmark
#> 330: Euro foreign exchange reference rate of the ECB / EUR 1 = DKK ... / Denmark
#> category unit unit_mult last_update
#> <char> <char> <char> <char>
#> 1: WEDE DKK One 2026-06-30 16:05:45
#> 2: WEDE DKK One 2026-06-30 16:05:45
#> 3: WEDE DKK One 2026-06-30 16:05:45
#> 4: WEDE DKK One 2026-06-30 16:05:45
#> 5: WEDE DKK One 2026-06-30 16:05:45
#> ---
#> 326: WEDE DKK One 2026-06-30 16:05:45
#> 327: WEDE DKK One 2026-06-30 16:05:45
#> 328: WEDE DKK One 2026-06-30 16:05:45
#> 329: WEDE DKK One 2026-06-30 16:05:45
#> 330: WEDE DKK One 2026-06-30 16:05:45
#> comment
#> <char>
#> 1: The ECB publishes daily euro foreign exchange reference rates
#> 2: The ECB publishes daily euro foreign exchange reference rates
#> 3: The ECB publishes daily euro foreign exchange reference rates
#> 4: The ECB publishes daily euro foreign exchange reference rates
#> 5: The ECB publishes daily euro foreign exchange reference rates
#> ---
#> 326: The ECB publishes daily euro foreign exchange reference rates
#> 327: The ECB publishes daily euro foreign exchange reference rates
#> 328: The ECB publishes daily euro foreign exchange reference rates
#> 329: The ECB publishes daily euro foreign exchange reference rates
#> 330: The ECB publishes daily euro foreign exchange reference rates
#> source
#> <char>
#> 1: European Central Bank (ECB).
#> 2: European Central Bank (ECB).
#> 3: European Central Bank (ECB).
#> 4: European Central Bank (ECB).
#> 5: European Central Bank (ECB).
#> ---
#> 326: European Central Bank (ECB).
#> 327: European Central Bank (ECB).
#> 328: European Central Bank (ECB).
#> 329: European Central Bank (ECB).
#> 330: European Central Bank (ECB).
bbk_series("BBAF3.Q.F41.S121.DE.S1.W0.LE.N._X.B")
#> date key value freq
#> <char> <char> <num> <char>
#> 1: 1999-Q3 BBAF3.Q.F41.S121.DE.S1.W0.LE.N._X.B 4.4 quarterly
#> 2: 1999-Q4 BBAF3.Q.F41.S121.DE.S1.W0.LE.N._X.B 4.4 quarterly
#> 3: 2000-Q1 BBAF3.Q.F41.S121.DE.S1.W0.LE.N._X.B 4.4 quarterly
#> 4: 2000-Q2 BBAF3.Q.F41.S121.DE.S1.W0.LE.N._X.B 4.4 quarterly
#> 5: 2000-Q3 BBAF3.Q.F41.S121.DE.S1.W0.LE.N._X.B 4.4 quarterly
#> ---
#> 103: 2025-Q1 BBAF3.Q.F41.S121.DE.S1.W0.LE.N._X.B 4.2 quarterly
#> 104: 2025-Q2 BBAF3.Q.F41.S121.DE.S1.W0.LE.N._X.B 4.3 quarterly
#> 105: 2025-Q3 BBAF3.Q.F41.S121.DE.S1.W0.LE.N._X.B 4.3 quarterly
#> 106: 2025-Q4 BBAF3.Q.F41.S121.DE.S1.W0.LE.N._X.B 3.9 quarterly
#> 107: 2026-Q1 BBAF3.Q.F41.S121.DE.S1.W0.LE.N._X.B 3.7 quarterly
#> title
#> <char>
#> 1: Short-term loans Creditor: Central bank (Germany) / Debtor: All sectors (World) Stocks
#> 2: Short-term loans Creditor: Central bank (Germany) / Debtor: All sectors (World) Stocks
#> 3: Short-term loans Creditor: Central bank (Germany) / Debtor: All sectors (World) Stocks
#> 4: Short-term loans Creditor: Central bank (Germany) / Debtor: All sectors (World) Stocks
#> 5: Short-term loans Creditor: Central bank (Germany) / Debtor: All sectors (World) Stocks
#> ---
#> 103: Short-term loans Creditor: Central bank (Germany) / Debtor: All sectors (World) Stocks
#> 104: Short-term loans Creditor: Central bank (Germany) / Debtor: All sectors (World) Stocks
#> 105: Short-term loans Creditor: Central bank (Germany) / Debtor: All sectors (World) Stocks
#> 106: Short-term loans Creditor: Central bank (Germany) / Debtor: All sectors (World) Stocks
#> 107: Short-term loans Creditor: Central bank (Germany) / Debtor: All sectors (World) Stocks
#> category unit unit_mult last_update comment source
#> <char> <char> <char> <char> <char> <char>
#> 1: FIF2 <NA> Billions 2026-07-15 11:11:23 <NA> <NA>
#> 2: FIF2 <NA> Billions 2026-07-15 11:11:23 <NA> <NA>
#> 3: FIF2 <NA> Billions 2026-07-15 11:11:23 <NA> <NA>
#> 4: FIF2 <NA> Billions 2026-07-15 11:11:23 <NA> <NA>
#> 5: FIF2 <NA> Billions 2026-07-15 11:11:23 <NA> <NA>
#> ---
#> 103: FIF2 <NA> Billions 2026-07-15 11:11:23 <NA> <NA>
#> 104: FIF2 <NA> Billions 2026-07-15 11:11:23 <NA> <NA>
#> 105: FIF2 <NA> Billions 2026-07-15 11:11:23 <NA> <NA>
#> 106: FIF2 <NA> Billions 2026-07-15 11:11:23 <NA> <NA>
#> 107: FIF2 <NA> Billions 2026-07-15 11:11:23 <NA> <NA>
bbk_series("BBBK11.D.TTA000")
#> date key value freq
#> <Date> <char> <char> <char>
#> 1: 1999-01-01 BBBK11.D.TTA000 29312 daily
#> 2: 1999-01-08 BBBK11.D.TTA000 27475 daily
#> 3: 1999-01-15 BBBK11.D.TTA000 27475 daily
#> 4: 1999-01-22 BBBK11.D.TTA000 27475 daily
#> 5: 1999-01-29 BBBK11.D.TTA000 27475 daily
#> ---
#> 1434: 2026-06-12 BBBK11.D.TTA000 430050 daily
#> 1435: 2026-06-19 BBBK11.D.TTA000 430050 daily
#> 1436: 2026-06-26 BBBK11.D.TTA000 430050 daily
#> 1437: 2026-07-03 BBBK11.D.TTA000 380732 daily
#> 1438: 2026-07-10 BBBK11.D.TTA000 380732 daily
#> title category
#> <char> <char>
#> 1: Gold and gold receivables / unadjusted / Deutsche Bundesbank BABA11
#> 2: Gold and gold receivables / unadjusted / Deutsche Bundesbank BABA11
#> 3: Gold and gold receivables / unadjusted / Deutsche Bundesbank BABA11
#> 4: Gold and gold receivables / unadjusted / Deutsche Bundesbank BABA11
#> 5: Gold and gold receivables / unadjusted / Deutsche Bundesbank BABA11
#> ---
#> 1434: Gold and gold receivables / unadjusted / Deutsche Bundesbank BABA11
#> 1435: Gold and gold receivables / unadjusted / Deutsche Bundesbank BABA11
#> 1436: Gold and gold receivables / unadjusted / Deutsche Bundesbank BABA11
#> 1437: Gold and gold receivables / unadjusted / Deutsche Bundesbank BABA11
#> 1438: Gold and gold receivables / unadjusted / Deutsche Bundesbank BABA11
#> unit unit_mult last_update comment source
#> <char> <char> <char> <char> <char>
#> 1: EURO Millions 2026-07-15 15:19:21 <NA> <NA>
#> 2: EURO Millions 2026-07-15 15:19:21 <NA> <NA>
#> 3: EURO Millions 2026-07-15 15:19:21 <NA> <NA>
#> 4: EURO Millions 2026-07-15 15:19:21 <NA> <NA>
#> 5: EURO Millions 2026-07-15 15:19:21 <NA> <NA>
#> ---
#> 1434: EURO Millions 2026-07-15 15:19:21 <NA> <NA>
#> 1435: EURO Millions 2026-07-15 15:19:21 <NA> <NA>
#> 1436: EURO Millions 2026-07-15 15:19:21 <NA> <NA>
#> 1437: EURO Millions 2026-07-15 15:19:21 <NA> <NA>
#> 1438: EURO Millions 2026-07-15 15:19:21 <NA> <NA>
# }