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Deutsche Bundesbank — Securities holdings - Number of customer deposit accounts (BBSDP)

DatasetExecutable4/7Query nowOpen workbenchSubscribe🇩🇪Germany

This dataset from the Deutsche Bundesbank provides official time series data on the number of customer deposit accounts holding securities in Germany, published under the BBSDP dataflow via the SDMX 2.1 REST API. A single endpoint delivers data in XML (SDMX-ML), CSV, or JSON format, allowing users to extract specific series using a key path together with startPeriod, endPeriod, or lastNObservations filters. The dataset is part of the Bundesbank's broader statistical time series databases covering economic and financial indicators for Germany, and supports analysis of securities holding patterns among bank customers.Securities holdings - Number of customer deposit accounts (BBSDP) — official time series from the Deutsche Bundesbank, published as the BBSDP 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 (14 fields)

Filterable via the API (4)
BBK_STD_FREQBBK_SEH_CUSTODIANBBK_SEH_HOLDER_SECTORTIME_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_SEH_CUSTODIANFilterable via the APIdimensionCode identifying the custodian bank group holding the securities.9 codes (e.g. BG01, BG06, BG07)
BBK_SEH_HOLDER_SECTORFilterable via the APIdimensionCode identifying the economic sector of the deposit account holder.8 codes (e.g. 1000, 1100, 1225)
TIME_PERIODFilterable via the APItimePeriod the observation refers to; filterable via startPeriod/endPeriod.Time dimension — filter with startPeriod / endPeriod query params.
OBS_VALUEObservation valuenumberObserved number of customer deposit accounts for the cell.The observed numeric value for each cell.
TIME_FORMATattributeCode indicating the time format of the observation period.Code indicating the time format of the observation period.
BBK_DECIMALSattributeNumber of decimal places used in the observation value.Number of decimal places used in the observation value.
BBK_IDattributeBundesbank internal identifier for the series.Bundesbank internal identifier for the series.
BBK_UNITattributeUnit of measurement for the observation value.Unit of measurement for the observation value.
BBK_UNIT_MULTattributeMultiplier applied to the unit of the observation value.Multiplier applied to the unit of the observation value.
BBK_TITLE_ENGattributeEnglish-language title describing the series.English-language title describing the series.
WEB_CATEGORYattributeCategory code used to classify the series on the Bundesbank website.Category code used to classify the series on the Bundesbank website.
BBK_DIFFattributePercentage change of the observation versus the previous period.Percentage change of the observation versus the previous period.
BBK_DIFF_YattributePercentage change of the observation versus the same period last year.Percentage change of the observation versus the same period last year.

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_SEH_CUSTODIANBBK_SEH_HOLDER_SECTORTIME_PERIODOBS_VALUEBBK_DIFFBBK_DIFF_Y
MBG0110002013-012500336——
MBG0110002013-022483911-0.7—
MBG0110002013-032469786-0.6—
MBG0110002013-042457923-0.5—
MBG0110002013-052444715-0.5—

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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