Deutsche Bundesbank — Profit and loss (BBBP1)
Profit and loss (BBBP1) — official time series from the Deutsche Bundesbank, published as the BBBP1 dataflow over SDMX 2.1 REST. One endpoint serves XML (SDMX-ML), CSV (?format=csv) and JSON (?format=json); extract exactly the series you need with a key path and startPeriod / endPeriod / lastNObservations filters.
Trust score
How is this computed?Weighted across five axes. Tap a ring for what it measures.
Data schema (25 fields)
Click a field to see example values.
| Field | Type | Description |
|---|---|---|
| BBK_STD_FREQ | dimension | 1 codes (e.g. A) |
| BBK_STD_AREA | dimension | 1 codes (e.g. DE) |
| BBK_STD_ADJUSTMENT | dimension | 1 codes (e.g. N) |
| BBK_BS_REF_SEC | dimension | 15 codes (e.g. BA, BGD, BS) |
| BBK_BSPL_ITEM | dimension | 118 codes (e.g. A010, A020, A052) |
| BBK_BS_MATURITY_ORIG | dimension | 1 codes (e.g. X) |
| BBK_BS_DATA_TYPE | dimension | 2 codes (e.g. 1, X) |
| BBK_BS_COUNT_AREA | dimension | 2 codes (e.g. Z5, X0) |
| BBK_BS_COUNT_SEC | dimension | 2 codes (e.g. 0000, 9999) |
| BBK_STD_CURRENCY | dimension | 2 codes (e.g. Z01, Z0Z) |
| BBK_BS_SUFFIX | dimension | 7 codes (e.g. D, P0, E) |
| TIME_PERIOD | time | Time dimension — filter with startPeriod / endPeriod query params. |
| OBS_VALUEObservation value | number | The observed numeric value for each cell. |
| TIME_FORMAT | attribute | — |
| BBK_DECIMALS | attribute | — |
| BBK_ID | attribute | — |
| BBK_UNIT | attribute | — |
| BBK_UNIT_MULT | attribute | — |
| BBK_TITLE_ENG | attribute | — |
| WEB_CATEGORY | attribute | — |
| BBK_COMM_GEN | attribute | — |
| BBK_EURO | attribute | — |
| BBK_DIFF_Y | attribute | — |
| OBS_STATUS | attribute | — |
| BBK_COMM_OBS_ENG | attribute | — |
Schema captured from sdmx 1 month ago.
Query the data
Pick columns and a sort, then fetch a live preview straight from the source. Choose an API-filterable column (marked ▾) under “Where” to pick from its list of values.
Sample data (5 records)
Record 1OBS_VALUE: 2460 · TIME_PERIOD: 1976
{
"OBS_VALUE": "2460",
"TIME_PERIOD": "1976",
"BBK_STD_AREA": "DE",
"BBK_STD_FREQ": "A",
"BBK_BSPL_ITEM": "A010",
"BBK_BS_SUFFIX": "D",
"BBK_BS_REF_SEC": "BA",
"BBK_BS_COUNT_SEC": "0000",
"BBK_BS_DATA_TYPE": "1",
"BBK_STD_CURRENCY": "Z01",
"BBK_BS_COUNT_AREA": "Z5",
"BBK_STD_ADJUSTMENT": "N",
"BBK_BS_MATURITY_ORIG": "X"
}Record 2OBS_VALUE: 2658 · TIME_PERIOD: 1977
{
"OBS_VALUE": "2658",
"TIME_PERIOD": "1977",
"BBK_STD_AREA": "DE",
"BBK_STD_FREQ": "A",
"BBK_BSPL_ITEM": "A010",
"BBK_BS_SUFFIX": "D",
"BBK_BS_REF_SEC": "BA",
"BBK_BS_COUNT_SEC": "0000",
"BBK_BS_DATA_TYPE": "1",
"BBK_STD_CURRENCY": "Z01",
"BBK_BS_COUNT_AREA": "Z5",
"BBK_STD_ADJUSTMENT": "N",
"BBK_BS_MATURITY_ORIG": "X"
}Record 3OBS_VALUE: 2879 · TIME_PERIOD: 1978
{
"OBS_VALUE": "2879",
"TIME_PERIOD": "1978",
"BBK_STD_AREA": "DE",
"BBK_STD_FREQ": "A",
"BBK_BSPL_ITEM": "A010",
"BBK_BS_SUFFIX": "D",
"BBK_BS_REF_SEC": "BA",
"BBK_BS_COUNT_SEC": "0000",
"BBK_BS_DATA_TYPE": "1",
"BBK_STD_CURRENCY": "Z01",
"BBK_BS_COUNT_AREA": "Z5",
"BBK_STD_ADJUSTMENT": "N",
"BBK_BS_MATURITY_ORIG": "X"
}Record 4OBS_VALUE: 3211 · TIME_PERIOD: 1979
{
"OBS_VALUE": "3211",
"TIME_PERIOD": "1979",
"BBK_STD_AREA": "DE",
"BBK_STD_FREQ": "A",
"BBK_BSPL_ITEM": "A010",
"BBK_BS_SUFFIX": "D",
"BBK_BS_REF_SEC": "BA",
"BBK_BS_COUNT_SEC": "0000",
"BBK_BS_DATA_TYPE": "1",
"BBK_STD_CURRENCY": "Z01",
"BBK_BS_COUNT_AREA": "Z5",
"BBK_STD_ADJUSTMENT": "N",
"BBK_BS_MATURITY_ORIG": "X"
}Record 5OBS_VALUE: 3663 · TIME_PERIOD: 1980
{
"OBS_VALUE": "3663",
"TIME_PERIOD": "1980",
"BBK_STD_AREA": "DE",
"BBK_STD_FREQ": "A",
"BBK_BSPL_ITEM": "A010",
"BBK_BS_SUFFIX": "D",
"BBK_BS_REF_SEC": "BA",
"BBK_BS_COUNT_SEC": "0000",
"BBK_BS_DATA_TYPE": "1",
"BBK_STD_CURRENCY": "Z01",
"BBK_BS_COUNT_AREA": "Z5",
"BBK_STD_ADJUSTMENT": "N",
"BBK_BS_MATURITY_ORIG": "X"
}Live sample captured at profiling time — values may have changed upstream.
Verification Status
Using the API
Query examples
curl -s 'https://api.statistiken.bundesbank.de/rest/metadata/dataflow/BBK' -H 'Accept: application/vnd.sdmx.structure+xml;version=2.1'All dataflows (datasets) published by this agency, as SDMX-ML.
Machine-readable & source
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