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Deutsche Bundesbank — AUSTA - Consolidated Groups (BBBEK4)

DatasetExecutable4/7Query nowOpen workbenchSubscribe🇩🇪Germany

This dataset provides the AUSTA – Consolidated Groups (BBBEK4) time series from the Deutsche Bundesbank, Germany's central bank, covering economic and price-related statistics. It is distributed as an SDMX 2.1 dataflow accessible via a REST API, with a single endpoint supporting multiple output formats: SDMX-ML (XML), CSV, and JSON. Users can retrieve specific series using key paths combined with startPeriod, endPeriod, or lastNObservations parameters, allowing precise extraction of time ranges or the most recent observations for analysis of German economic indicators.AUSTA - Consolidated Groups (BBBEK4) — official time series from the Deutsche Bundesbank, published as the BBBEK4 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.

economyprices
52
fair

Weighted across five axes. Tap a ring for what it measures.

Data schema (15 fields)

Filterable via the API (3)
BBK_STD_FREQBBK_STD_BBK01_KEYSTIME_PERIOD

Click a field to see example values.

FieldTypeDescription
BBK_STD_FREQFilterable via the APIdimensionFrequency code of the time series, e.g. monthly (M).1 codes (e.g. M)
BBK_STD_BBK01_KEYSFilterable via the APIdimensionBundesbank series key identifying the specific data series.1788 codes (e.g. QUK678, QUK679, QUK680)
TIME_PERIODFilterable via the APItimeTime period of the observation; filterable via startPeriod/endPeriod.Time dimension — filter with startPeriod / endPeriod query params.
OBS_VALUEObservation valuenumberObserved numeric value for the given series and period.The observed numeric value for each cell.
TIME_FORMATattributeFormat code describing how the time period is expressed.Format code describing how the time period is expressed.
BBK_DECIMALSattributeNumber of decimal places used in the observation value.Number of decimal places used in the observation value.
BBK_IDattributeInternal Bundesbank identifier for the data series.Internal Bundesbank identifier for the data series.
BBK_UNITattributeUnit of measurement for the observation value.Unit of measurement for the observation value.
BBK_UNIT_MULTattributeScaling factor (power of ten) applied to the observation value.Scaling factor (power of ten) applied to the observation value.
BBK_TITLE_ENGattributeEnglish-language title of the data series.English-language title of the data series.
WEB_CATEGORYattributeCategory under which the series is published on the Bundesbank website.Category under which the series is published on the Bundesbank website.
BBK_COMM_GEN_ENGattributeGeneral English-language comment or note about the series.General English-language comment or note about the series.
BBK_DIFFattributePeriod-on-period difference or change value for the series.Period-on-period difference or change value for the series.
BBK_DIFF_YattributeYear-on-year difference or change value for the series.Year-on-year difference or change value for the series.
OBS_STATUSattributeStatus code indicating the nature of the observation, e.g. estimated or provisional.Status code indicating the nature of the observation, e.g. estimated or provisional.

Schema captured from sdmx 2 days 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.

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Sample data (5 records)

BBK_STD_FREQBBK_STD_BBK01_KEYSTIME_PERIODOBS_VALUEBBK_DIFFBBK_DIFF_YOBS_STATUS
MQUK6782002-03787.368———
MQUK6782002-04797.1561.2——
MQUK6782002-05753.663-5.5——
MQUK6782002-06706.386-6.3——
MQUK6782002-07710.5860.6——

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.

Full API documentation ↗

Machine-readable & source

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