Deutsche Bundesbank — Price statistics (classified by goods and services) (BBDP1)

DatasetExecutable4/7Query nowOpen workbench Subscribe🇩🇪Germany

Price statistics (classified by goods and services) (BBDP1) — official time series from the Deutsche Bundesbank, published as the BBDP1 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

Run verified request Dataflow structure Fetch observations (JSON)Read the docs Visit homepage

Data schema (23 fields)

Filterable via the API (9)

BBK_STD_FREQBBK_STD_AREABBK_STD_ADJUSTMENTBBK_DOPR_CONCEPTBBK_DOPR_CLASSIFICATIONBBK_DOPR_CLASSIFICATION_DETAILBBK_DO_BASISBBK_DO_SUFFIXTIME_PERIOD

Click a field to see example values.

Field	Type	Description
BBK_STD_FREQ	dimension	3 codes (e.g. A, M, Q)
BBK_STD_AREA	dimension	1 codes (e.g. DE)
BBK_STD_ADJUSTMENT	dimension	2 codes (e.g. N, Y)
BBK_DOPR_CONCEPT	dimension	8 codes (e.g. APA1, APE1, EPG)
BBK_DOPR_CLASSIFICATION	dimension	4 codes (e.g. G, L, C)
BBK_DOPR_CLASSIFICATION_DETAIL	dimension	19 codes (e.g. GP19SA000000, L1A00000000, A00000)
BBK_DO_BASIS	dimension	4 codes (e.g. I21, I20, I)
BBK_DO_SUFFIX	dimension	3 codes (e.g. A, L, LV)
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_MULT	attribute	—
BBK_TITLE_ENG	attribute	—
WEB_CATEGORY	attribute	—
BBK_UNIT_ENG	attribute	—
BBK_COMM_METH_ENG	attribute	—
BBK_COMM_SRC_ENG	attribute	—
BBK_UMR_ENG	attribute	—
BBK_DIFF_Y	attribute	—
OBS_STATUS	attribute	—
BBK_DIFF	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.

Where=

Sort by

Sample data (5 records)

Record 1OBS_VALUE: 33.9 · TIME_PERIOD: 1962

{
  "OBS_VALUE": "33.9",
  "TIME_PERIOD": "1962",
  "BBK_DO_BASIS": "I21",
  "BBK_STD_AREA": "DE",
  "BBK_STD_FREQ": "A",
  "BBK_DO_SUFFIX": "A",
  "BBK_DOPR_CONCEPT": "APA1",
  "BBK_STD_ADJUSTMENT": "N",
  "BBK_DOPR_CLASSIFICATION": "G",
  "BBK_DOPR_CLASSIFICATION_DETAIL": "GP19SA000000"
}

Record 2OBS_VALUE: 33.9 · TIME_PERIOD: 1963

{
  "OBS_VALUE": "33.9",
  "TIME_PERIOD": "1963",
  "BBK_DO_BASIS": "I21",
  "BBK_STD_AREA": "DE",
  "BBK_STD_FREQ": "A",
  "BBK_DO_SUFFIX": "A",
  "BBK_DOPR_CONCEPT": "APA1",
  "BBK_STD_ADJUSTMENT": "N",
  "BBK_DOPR_CLASSIFICATION": "G",
  "BBK_DOPR_CLASSIFICATION_DETAIL": "GP19SA000000"
}

Record 3OBS_VALUE: 34.8 · TIME_PERIOD: 1964

{
  "OBS_VALUE": "34.8",
  "TIME_PERIOD": "1964",
  "BBK_DO_BASIS": "I21",
  "BBK_STD_AREA": "DE",
  "BBK_STD_FREQ": "A",
  "BBK_DO_SUFFIX": "A",
  "BBK_DOPR_CONCEPT": "APA1",
  "BBK_STD_ADJUSTMENT": "N",
  "BBK_DOPR_CLASSIFICATION": "G",
  "BBK_DOPR_CLASSIFICATION_DETAIL": "GP19SA000000"
}

Record 4OBS_VALUE: 35.6 · TIME_PERIOD: 1965

{
  "OBS_VALUE": "35.6",
  "TIME_PERIOD": "1965",
  "BBK_DO_BASIS": "I21",
  "BBK_STD_AREA": "DE",
  "BBK_STD_FREQ": "A",
  "BBK_DO_SUFFIX": "A",
  "BBK_DOPR_CONCEPT": "APA1",
  "BBK_STD_ADJUSTMENT": "N",
  "BBK_DOPR_CLASSIFICATION": "G",
  "BBK_DOPR_CLASSIFICATION_DETAIL": "GP19SA000000"
}

Record 5OBS_VALUE: 36.2 · TIME_PERIOD: 1966

{
  "OBS_VALUE": "36.2",
  "TIME_PERIOD": "1966",
  "BBK_DO_BASIS": "I21",
  "BBK_STD_AREA": "DE",
  "BBK_STD_FREQ": "A",
  "BBK_DO_SUFFIX": "A",
  "BBK_DOPR_CONCEPT": "APA1",
  "BBK_STD_ADJUSTMENT": "N",
  "BBK_DOPR_CLASSIFICATION": "G",
  "BBK_DOPR_CLASSIFICATION_DETAIL": "GP19SA000000"
}

Live sample captured at profiling time — values may have changed upstream.

Verification Status

Distribution check returned HTTP 413

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

JSON

Embed this badge in a README or wiki — it always shows the latest verification state and quality tier.