OECD Economic Outlook: current account balance
Current account balance as a percentage of GDP (OECD measure CBGDPR: "Current account balance as a percentage of GDP"), for OECD members, G20 non-members and major aggregates. Includes the Outlook's two-year projections. Unit: percent of GDP (UNIT_MEASURE=PT_B1GQ).
Source: OECD2,492 lignesMis à jour: 21/09/2026
current-accounttradebalance-of-paymentsmacrooecdforecast
Qualité
92.5
Attribution
OECD
Schéma
| Colonne | Type | Description |
|---|---|---|
| date | string | Observation year (the TIME_PERIOD column of the OECD SDMX-CSV response), stored as the first day of the year. |
| series_id | string | SDMX series key (<REF_AREA>.<MEASURE>), e.g. 'USA.GDPV_ANNPCT': the unique identifier of the series in the OECD Economic Outlook dataflow. |
| series_label | string | Economy name from the OECD CL_AREA codelist, e.g. 'United States'. |
| value | float | Current account balance as a percentage of GDP (OECD measure CBGDPR: "Current account balance as a percentage of GDP"), for OECD members, G20 non-members and major aggregates. Includes the Outlook's two-year projections. Unit: percent of GDP (UNIT_MEASURE=PT_B1GQ). |
Exemple de lignes
| date | series_id | series_label | value |
|---|---|---|---|
| 1994-01-01 | ARG.CBGDPR | Argentina | -3.93184955528155 |
| 1995-01-01 | ARG.CBGDPR | Argentina | -1.82622797401795 |
| 1996-01-01 | ARG.CBGDPR | Argentina | -2.29062783967785 |
| 1997-01-01 | ARG.CBGDPR | Argentina | -3.81738679736935 |
| 1998-01-01 | ARG.CBGDPR | Argentina | -4.46405356971472 |
Utiliser avec un LLM
Dirigez n’importe quel LLM vers le point d’accès des métadonnées — la documentation ci-dessus est aussi lisible par machine (JSON-LD + Croissant).
cURL
curl "https://datazimuts.com/v1/datasets/oecd/current_account_gdp_annual" | jq '{title, rows, columns_count, license}'Python
import requests
ds = requests.get("https://datazimuts.com/v1/datasets/oecd/current_account_gdp_annual").json()
print(ds["title"], ds["rows"], "rows")
# Sample rows for an LLM context window
for row in ds.get("sample_rows", [])[:5]:
print(row)Point d’accès API: https://datazimuts.com/v1/datasets/oecd/current_account_gdp_annual
Astuce : récupérez /llms.txt pour le catalogue complet lisible par machine.