World Bank remittances panel (flows, GDP share, net senders)

Commercial use OKFreshLicense: CC-BY-4.0

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Value-added panel of the World Bank's World Development Indicators (keyless API v2, CC BY 4.0): personal remittances received (current US$), received as % of GDP, and paid (current US$) for ~200 economies, 1966-2025, with derived migration-finance signals: net flows, 10-year changes and within-year ranks. The catalog's first remittance dataset; joins on economy_code with the catalog's other World Bank panels.

Source: World Bank remittances intelligence
Rows: 7,665
Columns: 15
Source cadence: Yearly
Last refreshed: Oct 8, 2026
Theme: economics

Column	Type	Description
economy_code	string	ISO 3166-1 alpha-3 economy code (World Bank API field countryiso3code).
economy_name	string	Economy name as published by the World Bank API.
region	string	World Bank region (API field region.value).
income_group	string	World Bank income group (API field incomeLevel.value).
year	integer	Reference year (1966-2025: the paid pillar reaches back to 1966, received and the GDP share start 1970; all three series current to 2024).
remittances_received_usd	float	Personal remittances received, current US$ (WDI indicator BX.TRF.PWKR.CD.DT: personal transfers plus compensation of employees; IMF balance of payments via WDI). (unit: USD)
remittances_received_pct_gdp	float	Personal remittances received as a share of GDP (WDI indicator BX.TRF.PWKR.DT.GD.ZS). (unit: % of GDP)
remittances_paid_usd	float	Personal remittances paid, current US$ (WDI indicator BM.TRF.PWKR.CD.DT). (unit: USD)
net_remittances_usd	float	Net remittances (received minus paid), current US$ (connector-derived). Negative for net senders (e.g. USA). Null when either input is null. (unit: USD)
received_change_10y_pct	float	Trailing 10-year change of received remittances, in percent (the diaspora-flow growth lens); null when the base year is absent, null, or zero. (unit: %)
pct_gdp_change_10y_pp	float	Trailing 10-year change of the received remittances GDP share, in percentage points; null when the base year is absent. (unit: pp)
received_rank	integer	Rank of remittances_received_usd within the year (1 = highest receipts); null where received is null. (unit: rank)
paid_rank	integer	Rank of remittances_paid_usd within the year (1 = highest payments); null where paid is null. (unit: rank)
pct_gdp_rank	integer	Rank of remittances_received_pct_gdp within the year (1 = highest GDP share); null where the share is null. (unit: rank)
row_hash	string	Deterministic 12-hex row identity hash (economy_code\|year).

First 10 sample rows — a preview, not the complete dataset.

economy_code	economy_name	region	income_group	year	remittances_received_usd	remittances_received_pct_gdp	remittances_paid_usd	net_remittances_usd	received_change_10y_pct	pct_gdp_change_10y_pp	received_rank	paid_rank	pct_gdp_rank	row_hash
ABW	Aruba	Latin America & Caribbean	High income	1,991	2,569,832.325	0.295	16,480,446.927	-13,910,614.602	—	—	102	70	82	8b0f0923d7fa
ABW	Aruba	Latin America & Caribbean	High income	1,992	2,625,698.328	0.274	4,692,737.43	-2,067,039.102	—	—	105	91	86	eec2dc95462f
ABW	Aruba	Latin America & Caribbean	High income	1,993	3,351,955.414	0.309	4,301,675.978	-949,720.564	—	—	112	91	91	c1b01e146fee
ABW	Aruba	Latin America & Caribbean	High income	1,994	3,910,614.491	0.314	3,687,150.838	223,463.653	—	—	115	103	92	117ee27173fe
ABW	Aruba	Latin America & Caribbean	High income	1,995	1,340,782.123	0.102	4,972,067.039	-3,631,284.916	—	—	126	98	113	65a5a89d7667
ABW	Aruba	Latin America & Caribbean	High income	1,996	1,620,111.732	0.117	7,206,703.911	-5,586,592.179	—	—	135	102	119	7a4774a17ae4
ABW	Aruba	Latin America & Caribbean	High income	1,997	1,843,575.419	0.12	10,000,000	-8,156,424.581	—	—	132	100	118	448a9f868f2c
ABW	Aruba	Latin America & Caribbean	High income	1,998	1,620,111.732	0.097	11,620,111.732	-10,000,000	—	—	142	92	129	6cfd8415793a
ABW	Aruba	Latin America & Caribbean	High income	1,999	608,938.547	0.035	27,391,061.453	-26,782,122.905	—	—	145	72	141	450f0cef38ca
ABW	Aruba	Latin America & Caribbean	High income	2,000	1,083,798.883	0.058	43,743,016.76	-42,659,217.877	—	—	148	65	142	c38f22a493e4

Profiled Oct 8, 2026 from snapshot 20261008T222537Z-4d8e07873ffb

Measured

Completeness: 92.3%
Rows: 7,665
Columns: 15
Columns with gaps: 9

Rows per yearyear · 1966–2025 · 60 years

19662025

Column	Missing	Distinct	Range	Distribution
economy_codevarchar	0%	245	—	ISR60 AUS56 AUT56
economy_namevarchar	0%	187	—	Israel60 Algeria56 Australia56
regionvarchar	0%	6	—	Sub-Saharan Africa 1,896 Europe & Central Asia1,845 Latin America & Caribbean 1,577
income_groupvarchar	0%	4	—	High income2,677 Upper middle income2,243 Lower middle income1,940
yearbigint	0%	56	1,966 → 2,025median 2,004	58 outside 1st–99th percentile
remittances_received_usddouble	6.1%	7,031	6,038 → 150,711,596,171median 284,769,226	144 outside 1st–99th percentile
remittances_received_pct_gdpdouble	6.6%	7,992	0 → 235.93median 1.41	144 outside 1st–99th percentile
remittances_paid_usddouble	6.3%	7,176	0 → 106,528,000,000median 83,647,583	144 outside 1st–99th percentile
net_remittances_usddouble	12.5%	5,394	-97,183,000,000 → 138,628,947,455median 40,650,990	136 outside 1st–99th percentile
received_change_10y_pctdouble	32.4%	5,569	-99.65 → 2,133,642median 103.83	104 outside 1st–99th percentile
pct_gdp_change_10y_ppdouble	32.8%	5,059	-148.37 → 150.5median 0.0714	104 outside 1st–99th percentile
received_rankbigint	6.1%	205	1 → 181median 70	123 outside 1st–99th percentile
paid_rankbigint	6.3%	213	1 → 183median 70	124 outside 1st–99th percentile
pct_gdp_rankbigint	6.6%	205	1 → 181median 70	116 outside 1st–99th percentile
row_hashvarchar	0%	8,450	—	000df08048851 00190f572f921 001963f928311

Point any LLM at the metadata endpoint — the documentation above is machine-readable too (JSON-LD + Croissant).

cURL

curl "https://datazimuts.com/v1/datasets/wb_remittances_intel/remittances_panel" | jq '{title, rows, columns_count, license}'

Python

import requests

ds = requests.get("https://datazimuts.com/v1/datasets/wb_remittances_intel/remittances_panel").json()
print(ds["title"], ds["rows"], "rows")

# Sample rows for an LLM context window
for row in ds.get("sample_rows", [])[:5]:
    print(row)

API endpoint: https://datazimuts.com/v1/datasets/wb_remittances_intel/remittances_panel

Tip: fetch /llms.txt for the full machine-readable catalog.

Cite this snapshot

Pinned to snapshot 20261008T222537Z-4d8e07873ffb and its content hash, so readers get exactly the data you used.

APA

World Bank remittances intelligence. (2026). World Bank remittances panel (flows, GDP share, net senders) [Data set, snapshot 20261008T222537Z-4d8e07873ffb, sha256 4d8e07873ffb]. Datazimuts. Retrieved 2026-10-09, from https://datazimuts.com/en/datasets/wb_remittances_intel/remittances_panel?snapshot=20261008T222537Z-4d8e07873ffb

BibTeX

@misc{dz_wb_remittances_intel_remittances_panel_4d8e0787,
  title        = {{World Bank remittances panel (flows, GDP share, net senders)}},
  author       = {{World Bank remittances intelligence}},
  year         = {2026},
  publisher    = {Datazimuts},
  howpublished = {\url{https://datazimuts.com/en/datasets/wb_remittances_intel/remittances_panel?snapshot=20261008T222537Z-4d8e07873ffb}},
  note         = {Snapshot 20261008T222537Z-4d8e07873ffb, sha256 4d8e07873ffb38dad6d5122f8ad79a4d201760d79f1515315895c0421d156284; accessed 2026-10-09}
}

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<iframe src="https://datazimuts.com/embed/chart?dataset=wb_remittances_intel%2Fremittances_panel&lang=en&theme=auto&snapshot=20261008T222537Z-4d8e07873ffb&x=year&y=year&agg=avg" title="World Bank remittances panel (flows, GDP share, net senders)" width="100%" height="380" style="border:0" loading="lazy"></iframe>