country_name stringclasses 1
value | country_iso3 stringclasses 1
value | partner_name stringclasses 201
values | partner_iso3 stringclasses 200
values | year int64 2k 2.02k | flow stringclasses 1
value | trade_value_usd float64 0.87 33.7B |
|---|---|---|---|---|---|---|
Angola | AGO | Afghanistan | AFG | 2,004 | exports | 14,392.521 |
Angola | AGO | Albania | ALB | 2,004 | exports | 3,806.683 |
Angola | AGO | Antarctica | ATA | 2,004 | exports | 3,841.519 |
Angola | AGO | Antigua and Barbuda | ATG | 2,004 | exports | 610.636 |
Angola | AGO | Azerbaijan | AZE | 2,004 | exports | 179,887.649 |
Angola | AGO | Argentina | ARG | 2,004 | exports | 190,230.005 |
Angola | AGO | Australia | AUS | 2,004 | exports | 630,597.496 |
Angola | AGO | Austria | AUT | 2,004 | exports | 156.134 |
Angola | AGO | Bahamas | BHS | 2,004 | exports | 35.119 |
Angola | AGO | Bahrain | BHR | 2,004 | exports | 2,363.724 |
Angola | AGO | Belgium | BEL | 2,004 | exports | 401,427,995.598 |
Angola | AGO | Bolivia (Plurinational State of) | BOL | 2,004 | exports | 4,560.932 |
Angola | AGO | Brazil | BRA | 2,004 | exports | 1,195,717.532 |
Angola | AGO | Belize | BLZ | 2,004 | exports | 439.351 |
Angola | AGO | Myanmar | MMR | 2,004 | exports | 2,094.258 |
Angola | AGO | Burundi | BDI | 2,004 | exports | 7,039.838 |
Angola | AGO | Cameroon | CMR | 2,004 | exports | 1,091,207.671 |
Angola | AGO | Canada | CAN | 2,004 | exports | 300,531,468.654 |
Angola | AGO | Cabo Verde | CPV | 2,004 | exports | 21,340.556 |
Angola | AGO | Chad | TCD | 2,004 | exports | 53,977.126 |
Angola | AGO | Chile | CHL | 2,004 | exports | 419,190,925.267 |
Angola | AGO | China | CHN | 2,004 | exports | 4,260,538,673.026 |
Angola | AGO | Colombia | COL | 2,004 | exports | 13,146.059 |
Angola | AGO | Dem. Rep. of the Congo | COD | 2,004 | exports | 1,266,876.062 |
Angola | AGO | Cuba | CUB | 2,004 | exports | 28,486.691 |
Angola | AGO | Cyprus | CYP | 2,004 | exports | 48,078.048 |
Angola | AGO | Czechia | CZE | 2,004 | exports | 14,873.517 |
Angola | AGO | Benin | BEN | 2,004 | exports | 19,545.863 |
Angola | AGO | Denmark | DNK | 2,004 | exports | 969,293.948 |
Angola | AGO | El Salvador | SLV | 2,004 | exports | 21,194.907 |
Angola | AGO | Equatorial Guinea | GNQ | 2,004 | exports | 668,237.882 |
Angola | AGO | Ethiopia | ETH | 2,004 | exports | 2,690.401 |
Angola | AGO | Gabon | GAB | 2,004 | exports | 1,186,928.762 |
Angola | AGO | Germany | DEU | 2,004 | exports | 1,957,946.107 |
Angola | AGO | Ghana | GHA | 2,004 | exports | 6,807.274 |
Angola | AGO | Greece | GRC | 2,004 | exports | 157.069 |
Angola | AGO | Guyana | GUY | 2,004 | exports | 376,089.995 |
Angola | AGO | Haiti | HTI | 2,004 | exports | 11,097.886 |
Angola | AGO | Honduras | HND | 2,004 | exports | 6,051.66 |
Angola | AGO | China, Hong Kong SAR | HKG | 2,004 | exports | 21,958.145 |
Angola | AGO | Iceland | ISL | 2,004 | exports | 5,752.357 |
Angola | AGO | Indonesia | IDN | 2,004 | exports | 250,435,369.806 |
Angola | AGO | Ireland | IRL | 2,004 | exports | 9,547.6 |
Angola | AGO | Israel | ISR | 2,004 | exports | 138,048,494.946 |
Angola | AGO | Italy | ITA | 2,004 | exports | 48,276,687.307 |
Angola | AGO | CΓ΄te d'Ivoire | CIV | 2,004 | exports | 1,477,444.439 |
Angola | AGO | Japan | JPN | 2,004 | exports | 26,406,755.805 |
Angola | AGO | Jordan | JOR | 2,004 | exports | 121,151.865 |
Angola | AGO | Kenya | KEN | 2,004 | exports | 20.143 |
Angola | AGO | Dem. People's Rep. of Korea | PRK | 2,004 | exports | 1,647,051.091 |
Angola | AGO | Rep. of Korea | KOR | 2,004 | exports | 87,400,169.735 |
Angola | AGO | Kuwait | KWT | 2,004 | exports | 39,166.985 |
Angola | AGO | Lao People's Dem. Rep. | LAO | 2,004 | exports | 617,411.481 |
Angola | AGO | Lebanon | LBN | 2,004 | exports | 17,305.411 |
Angola | AGO | Lesotho | LSO | 2,004 | exports | 208.916 |
Angola | AGO | Liberia | LBR | 2,004 | exports | 44,271.089 |
Angola | AGO | Libya | LBY | 2,004 | exports | 10,250.685 |
Angola | AGO | Madagascar | MDG | 2,004 | exports | 6,041.71 |
Angola | AGO | Malaysia | MYS | 2,004 | exports | 10,385.14 |
Angola | AGO | Malta | MLT | 2,004 | exports | 1,888.573 |
Angola | AGO | Mauritania | MRT | 2,004 | exports | 641,838.728 |
Angola | AGO | Mexico | MEX | 2,004 | exports | 60,408,608.531 |
Angola | AGO | Other Asia, nes | S19 | 2,004 | exports | 690,032,130.346 |
Angola | AGO | Morocco | MAR | 2,004 | exports | 95,370.558 |
Angola | AGO | Mozambique | MOZ | 2,004 | exports | 83,729.817 |
Angola | AGO | Netherlands Antilles (...2010) | ANT | 2,004 | exports | 405,335.655 |
Angola | AGO | New Caledonia | NCL | 2,004 | exports | 1,972.162 |
Angola | AGO | Vanuatu | VUT | 2,004 | exports | 31.66 |
Angola | AGO | New Zealand | NZL | 2,004 | exports | 504,545.907 |
Angola | AGO | Nigeria | NGA | 2,004 | exports | 1,188,429.047 |
Angola | AGO | Norway | NOR | 2,004 | exports | 3,459,379.935 |
Angola | AGO | Marshall Isds | MHL | 2,004 | exports | 102.815 |
Angola | AGO | Pakistan | PAK | 2,004 | exports | 521.8 |
Angola | AGO | Panama | PAN | 2,004 | exports | 59.688 |
Angola | AGO | Peru | PER | 2,004 | exports | 37,836,881.13 |
Angola | AGO | Philippines | PHL | 2,004 | exports | 51,325.947 |
Angola | AGO | Pitcairn | PCN | 2,004 | exports | 712.308 |
Angola | AGO | Portugal | PRT | 2,004 | exports | 1,035,318.449 |
Angola | AGO | Qatar | QAT | 2,004 | exports | 17,081.117 |
Angola | AGO | Russian Federation | RUS | 2,004 | exports | 106,546.942 |
Angola | AGO | Sao Tome and Principe | STP | 2,004 | exports | 550.792 |
Angola | AGO | Saudi Arabia | SAU | 2,004 | exports | 2,151.828 |
Angola | AGO | Senegal | SEN | 2,004 | exports | 89,493.388 |
Angola | AGO | India | IND | 2,004 | exports | 616,810,768.58 |
Angola | AGO | Singapore | SGP | 2,004 | exports | 326,747.1 |
Angola | AGO | Viet Nam | VNM | 2,004 | exports | 1,309.117 |
Angola | AGO | South Africa | ZAF | 2,004 | exports | 165,975,041.036 |
Angola | AGO | Zimbabwe | ZWE | 2,004 | exports | 47,588.146 |
Angola | AGO | Sudan (...2011) | SDN | 2,004 | exports | 1,421.649 |
Angola | AGO | Sweden | SWE | 2,004 | exports | 33,711.743 |
Angola | AGO | Switzerland | CHE | 2,004 | exports | 184,569.753 |
Angola | AGO | Thailand | THA | 2,004 | exports | 21,978.541 |
Angola | AGO | Togo | TGO | 2,004 | exports | 23,952.751 |
Angola | AGO | Trinidad and Tobago | TTO | 2,004 | exports | 4,914.352 |
Angola | AGO | United Arab Emirates | ARE | 2,004 | exports | 165,203,387.71 |
Angola | AGO | TΓΌrkiye | TUR | 2,004 | exports | 670.162 |
Angola | AGO | Egypt | EGY | 2,004 | exports | 122,295.412 |
Angola | AGO | Uruguay | URY | 2,004 | exports | 1,311.568 |
Angola | AGO | Serbia and Montenegro (...2005) | SCG | 2,004 | exports | 1,413.847 |
Angola | AGO | Zambia | ZMB | 2,004 | exports | 78,013.799 |
Angola β Exports by Trading Partner | Africa (UN Comtrade)
π 5,056 observations Β· 1 Africa countries Β· 2004β2023 Β· Repackaged by Electric Sheep Africa
TL;DR
This dataset contains 5,056 observations of International merchandise trade data across 1 Africa countries, spanning 2004β2023, covering 208 distinct indicators.
About the source
- Source: UN Comtrade
- Publisher: United Nations Statistics Division (UN Comtrade)
- License: other
- Topic: International merchandise trade
Geographic coverage
1 Africa countries Β· top rows shown below, sorted by row count:
| Country | Rows | First year | Last year |
|---|---|---|---|
Angola |
5,056 | 2004 | 2023 |
Indicators (sample)
Afghanistanβ AfghanistanAlbaniaβ AlbaniaAlgeriaβ AlgeriaAmerican Samoaβ American SamoaAndorraβ AndorraAntarcticaβ AntarcticaAntigua and Barbudaβ Antigua and BarbudaAreas, nesβ Areas, nesArgentinaβ ArgentinaArmeniaβ Armenia- ... and 198 more indicators
Schema
| Column | Type | Description | Example |
|---|---|---|---|
country_name |
string |
β | Angola |
country_iso3 |
string |
β | AGO |
partner_name |
string |
β | Afghanistan |
partner_iso3 |
string |
β | AFG |
year |
int64 |
β | 2004 |
flow |
string |
β | exports |
trade_value_usd |
float64 |
β | 14392.521 |
Usage
from datasets import load_dataset
ds = load_dataset("electricsheepafrica/africa-comtrade-angola-exports-by-partner")
df = ds["train"].to_pandas()
print(df.head())
Filter to one country
kenya = df[df["country_name"] == "KEN"]
Time-series for a single indicator
sample = (df[df["partner_name"] == "Afghanistan"]
.sort_values("year"))
sample.plot(x="year", y="trade_value_usd", title="Afghanistan")
Pivot to country Γ year matrix
matrix = (df[df["partner_name"] == "Afghanistan"]
.pivot_table(index="year", columns="country_name", values="trade_value_usd"))
print(matrix.tail())
Citation
@misc{africa_comtrade_angola_exports_by_partner_2023,
title = {Angola β Exports by Trading Partner | Africa (UN Comtrade)},
author = {United Nations Statistics Division (UN Comtrade)},
year = {2023},
url = {https://comtradeplus.un.org/},
publisher = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-comtrade-angola-exports-by-partner}}
}
License
Released under other.
Original data Β© United Nations Statistics Division (UN Comtrade). When using this dataset, please cite both the original source above and the Electric Sheep Africa repackaging.
About Electric Sheep
Electric Sheep Africa is part of the Electric Sheep mission: a unified, ML-ready data layer for Africa on HuggingFace. We pull data from authoritative open sources, normalize the schemas, package as Parquet, and publish with consistent dataset cards so researchers and developers can use load_dataset() to start working in seconds.
Browse the full collection: huggingface.co/electricsheepafrica
Provenance: ingested 2026-06-17 via the Electric Sheep pipeline. Source URL: https://comtradeplus.un.org/
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