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Global remittance signals (migration money flows)

Global remittance signals from World Bank WDI (~200 economies, annual ~1970 ->): remittances received and paid, 10-year changes, OLS trend slopes, 3-sigma shock flags, 5-year linear-extrapolation forecasts, net flow (received minus paid), remittance-dependence flags and cross-country dependency ranks. The migration-money lens: who depends on diaspora income and where flows are surging. World Bank WDI (non-commercial terms).

Source: Global Remittance Signals (derived)22,987 lignesMis à jour: 22/09/2026
remittancesmigrationdiasporaworld-bankwdicapital-flowsdevelopmentmacroeconomicsanomaly-detectionforecastingsignals

Qualité

94.5

Attribution

World Bank, World Development Indicators; derived signals by Frontier Data Hub

Schéma

ColonneTypeDescription
datestringReference year (January 1 of the year; WDI annual).
countrystringCountry name (ISO economies only; World Bank regional/income aggregates excluded).
country_codestringISO 3166-1 alpha-3 country code.
series_idstringWDI indicator code: BX.TRF.PWKR.CD.DT (received, US$), BX.TRF.PWKR.DT.GD.ZS (received, % of GDP), BM.TRF.PWKR.CD.DT (paid, US$).
series_labelstringOfficial WDI indicator name as published in the indicator metadata.
valuefloatPersonal remittances: current transfers in cash or in kind between resident and non-resident households (workers' remittances, compensation of employees, migrants' transfers); in current US$ or as % of GDP; World Bank WDI.
change_10yfloat
yoy_changefloat
trend_slope_10yfloat
remit_z_10yfloat
anomaly_flaginteger
forecast_5yfloat
rankinteger
net_flow_usdfloat
outflow_sharefloat
dependence_flaginteger
surge_flaginteger

Exemple de lignes

datecountrycountry_codeseries_idseries_labelvaluechange_10yyoy_changetrend_slope_10yremit_z_10yanomaly_flagforecast_5yranknet_flow_usdoutflow_sharedependence_flagsurge_flag
1991-01-01ArubaABWBM.TRF.PWKR.CD.DTPersonal remittances, paid (current US$)16480446.92737430123552058.57021102-13910614.60237436.41304367100071400
1992-01-01ArubaABWBM.TRF.PWKR.CD.DTPersonal remittances, paid (current US$)4692737.4301676-71.525423728813540123552058.57021102-2067039.10216759941.787234039845722500
1993-01-01ArubaABWBM.TRF.PWKR.CD.DTPersonal remittances, paid (current US$)4301675.97765363-8.3333333333333930123552058.57021102-949720.56365363021.283333292467723200
1994-01-01ArubaABWBM.TRF.PWKR.CD.DTPersonal remittances, paid (current US$)3687150.83798883-14.285714285714180123552058.57021102223463.653011169750.942857151088286700
1995-01-01ArubaABWBM.TRF.PWKR.CD.DTPersonal remittances, paid (current US$)4972067.0391061534.84848484848486-2402234.6368715080123552058.57021102-3631284.91620112023.708333333333331700

Télécharger un échantillon

Téléchargez l'échantillon complet de ce jeu de données (lignes d'exemple, pas le jeu complet).

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/remittance_signals/global_remittance_signals" | jq '{title, rows, columns_count, license}'

Python

import requests

ds = requests.get("https://datazimuts.com/v1/datasets/remittance_signals/global_remittance_signals").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/remittance_signals/global_remittance_signals

Astuce : récupérez /llms.txt pour le catalogue complet lisible par machine.