Annual official development assistance panel (World Bank World Development Indicators, 1960-2023, 130+ recipient economies, keyless API): net ODA and official aid received in current US$, as % of GNI and per capita, plus a derived ML layer — per-year cross-country recipient ranks, fixed-cut aid-dependence tiers, and within-country year-over-year changes. The aid-dependence lens for development, humanitarian and country-risk models. Raw data: World Bank, WDI (OECD DAC underlying).

Source: Official development assistance flow signals
Rows: 9,054
Columns: 10
Source cadence: Yearly
Last refreshed: Oct 5, 2026
Theme: finance

Column	Type	Description
date	date	Observation year (mapped to YYYY-01-01).
country	string	Country name via the hub normalization layer.
country_code	string	ISO 3166-1 alpha-3 country code.
oda_received_usd	float	World Bank WDI series DT.ODA.ALLD.CD: Net official development assistance and official aid received (current US$).
oda_received_gni_pct	float	World Bank WDI series DT.ODA.ODAT.GN.ZS: Net ODA received (% of GNI).
oda_received_per_capita_usd	float	World Bank WDI series DT.ODA.ODAT.PC.ZS: Net ODA received per capita (current US$).
received_rank	integer	Per-year cross-country rank on net ODA received (1 = largest recipient).
aid_dependence_tier	string	Fixed-cut aid-dependence tier on net ODA received as % of GNI: critical (>=20), high (>=10), significant (>=5), moderate (>=1), low (>0), none (0 or missing).
oda_received_yoy_change_pct	float	Within-country year-over-year change of net ODA received, in percent; null for a country's first observed year or when the previous year was zero.
row_hash	string	Deterministic 12-hex row identity hash over source, country, date and rounded raw values.

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

date	country	country_code	oda_received_usd	oda_received_gni_pct	oda_received_per_capita_usd	received_rank	aid_dependence_tier	oda_received_yoy_change_pct	row_hash
1985-01-01	Aruba	ABW	12,039,999.962	—	195.049	114	—	—	84691e6a5973
1986-01-01	Aruba	ABW	40,430,000.305	10.151	674.609	90	high	235.797	4f5a0ae65551
1987-01-01	Aruba	ABW	20,909,999.847	4.418	353.454	110	moderate	-48.281	85d994bb7e63
1988-01-01	Aruba	ABW	19,290,000.916	3.328	325.125	112	moderate	-7.747	9b8cf31cf4b8
1989-01-01	Aruba	ABW	24,329,999.924	3.556	402.528	111	moderate	26.128	21392f0b5869
1990-01-01	Aruba	ABW	29,979,999.542	3.96	477.746	118	moderate	23.222	2fa439b8d86b
1991-01-01	Aruba	ABW	24,969,999.313	2.889	378.93	121	moderate	-16.711	96c513f420a5
1992-01-01	Aruba	ABW	29,979,999.542	3.159	434.461	119	moderate	20.064	147cf79fde6d
1993-01-01	Aruba	ABW	24,860,000.61	2.333	337.382	138	moderate	-17.078	1135d7605edb
1994-01-01	Aruba	ABW	18,260,000.229	1.49	235.324	147	moderate	-26.549	6d34c43fbe2a

Oct 5, 2026Current
20261005T102734Z-0a232dafc165 · sha256 0a232dafc165…
9,054 rows · first snapshot

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_oda_aid_intel/oda_flows_annual" | jq '{title, rows, columns_count, license}'

Python

import requests

ds = requests.get("https://datazimuts.com/v1/datasets/wb_oda_aid_intel/oda_flows_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)

API endpoint: https://datazimuts.com/v1/datasets/wb_oda_aid_intel/oda_flows_annual

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

Where this data comes from and what was made from it. Other people's work shows as counts; only shared projects are named.

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Pinned to snapshot 20261005T102734Z-0a232dafc165 and its content hash, so readers get exactly the data you used.

APA

Official development assistance flow signals. (2026). Official development assistance flows (World Bank WDI) [Data set, snapshot 20261005T102734Z-0a232dafc165, sha256 0a232dafc165]. Datazimuts. Retrieved 2026-10-05, from https://datazimuts.com/en/datasets/wb_oda_aid_intel/oda_flows_annual?snapshot=20261005T102734Z-0a232dafc165

BibTeX

@misc{dz_wb_oda_aid_intel_oda_flows_annual_0a232daf,
  title        = {{Official development assistance flows (World Bank WDI)}},
  author       = {{Official development assistance flow signals}},
  year         = {2026},
  publisher    = {Datazimuts},
  howpublished = {\url{https://datazimuts.com/en/datasets/wb_oda_aid_intel/oda_flows_annual?snapshot=20261005T102734Z-0a232dafc165}},
  note         = {Snapshot 20261005T102734Z-0a232dafc165, sha256 0a232dafc165cde5aa9d2aae7dbe98cb3a60b4a334081a80465f0b6f6c507163; accessed 2026-10-05}
}

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Official development assistance flows (World Bank WDI)

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