TaxIntellilytics Stories · The Border Ledger
UGX 65,004.11 bn of non-fuel imports from the 50 largest sources; UGX 35,873.31 bn of exports to the 50 largest buyers, FY2024/25.
Uganda bought UGX 65.0 trillion of non-fuel goods from its 50 largest suppliers in FY2024/25 and sold UGX 35.9 trillion to its 50 largest buyers: 1.8 shillings in for every shilling out.
Tanzania was Uganda's largest source in FY2024/25, at UGX 12,455 bn. Together, Tanzania, China and India supplied 44% of what the 50 largest sources sold.
Each source rises from the globe by what Uganda bought from it. Streams run from it to Uganda, every particle the same fixed sum, so a denser stream is a larger flow. Fuel is not in these tables.
URA Annual Data Book FY2024/25. Non-fuel imports by country of origin.
Four countries account for half of the imports from the 50 largest sources; thirteen account for four-fifths.
The sources lift off the globe and line up by size. The black line is the running total; the dashed marks show where it passes half and four-fifths.
URA Annual Data Book FY2024/25. Computed from the imports table: each partner's value over the sum of those listed.
United Arab Emirates bought 34% of what Uganda sold to its 50 largest buyers in FY2024/25, UGX 12,123 bn, 4.5 times as much as Hong Kong, the next largest.
The streams reverse. Each buyer rises by what Uganda sold to it.
URA Annual Data Book FY2024/25. Exports by country of destination.
Of the 33 partners in both tables, Uganda sold more than it bought to 14 and bought more than it sold from 19. Across them, it bought UGX 20,971 bn more than it sold.
This covers only the partners listed in both tables of the year. Trade with partners outside either list is not counted, so this is not Uganda's overall trade balance.
URA Annual Data Book FY2024/25. Computed from both country tables: exports less imports, partner by partner.
Uganda sold more than it bought with Rwanda, Burundi, South Sudan and DR Congo, and bought more than it sold from Kenya and Tanzania.
For FY2024/25 a badge marks a figure that a second table prints identically: Table 3.1.4 for imports, Table 3.1.10 for exports. A neighbour outside the 50 listed shows as not listed.
| Neighbour | Imports | Exports |
|---|---|---|
| Kenya | 4,394 | 1,977 |
| Tanzania | 12,455 | 447 |
| Rwanda | 76 | 1,037 |
| Burundi | 11 | 223 |
| South Sudan | 116 | 1,564 |
| DR Congo | 2,181 | 2,326 |
URA Annual Data Book FY2024/25. Country tables, with Tables 3.1.4 and 3.1.10 for FY2024/25.
URA's register held 126,716 presumptive taxpayers in FY2024/25, against 8,820 in FY2015/16; Kampala had the most. These are counts of taxpayers: no official district revenue series is public yet.
The table shows Uganda's 135 districts as drawn in the Uganda Bureau of Statistics' 2018 boundaries (Humanitarian Data Exchange, valid 24 August 2020). The colours are counts URA exported for the Tax Data Observatory: presumptive taxpayers registered, or new taxpayer registrations, by year. 12 newer districts have no row of their own and are hatched.
URA presumptive tax register and TIN registration exports (Outputs_27072026.xlsx), as published in the Tax Data Observatory. Boundaries: UBOS via OCHA, CC BY-IGO.
The explorer
Choose a year, what to show and how. Hover a country to light it in every view; choose one to open its drawer and its years; search to compare up to four. The address changes with every choice, so the view you share is the view others see.
Enter opens a country; Shift and Enter adds it to the comparison.
Loading the country boundaries…
UGX bn, FY2024/25: Table 3.1.7: Import values (UGX, Bn) of Non-fuel imports by Top 50 countries of origin. Classes are quantiles; the key shows their real edges.
Every figure for FY2024/25, as printed in the URA Annual Data Book FY2024/25. Ranks are by value; the row is the table's own numbering where it numbers its rows. Totals are the sums of the listed partners. Sort by any column; choose a row to open it in the explorer.
| Share | ||||
|---|---|---|---|---|
| 1 | Tanzania | 12,455.37 | 19.2% | 1 |
| 2 | China | 10,915.37 | 16.8% | 2 |
| 3 | India | 5,475.92 | 8.4% | 3 |
| 4 | United Arab Emirates | 4,579.93 | 7.0% | 4 |
| 5 | Kenya | 4,393.80 | 6.8% | 5 |
| 6 | South Africa | 3,280.10 | 5.0% | 6 |
| 7 | DRC | 2,180.75 | 3.4% | 7 |
| 8 | Burkina Faso | 2,091.09 | 3.2% | 8 |
| 9 | Japan | 1,941.40 | 3.0% | 9 |
| 10 | Ghana | 1,519.25 | 2.3% | 10 |
| 11 | Malaysia | 1,372.25 | 2.1% | 11 |
| 12 | Cameroon | 1,147.65 | 1.8% | 12 |
| 13 | Oman | 1,104.63 | 1.7% | 13 |
| 14 | Mali | 1,005.98 | 1.5% | 14 |
| 15 | Mozambique | 953.58 | 1.5% | 15 |
| 16 | United States of America | 889.83 | 1.4% | 16 |
| 17 | Egypt | 733.05 | 1.1% | 17 |
| 18 | Netherlands | 712.95 | 1.1% | 18 |
| 19 | Russian Federation | 672.65 | 1.0% | 19 |
| 20 | Kuwait | 621.92 | 1.0% | 20 |
| 21 | Germany | 589.62 | 0.9% | 21 |
| 22 | Saudi Arabia | 560.71 | 0.9% | 22 |
| 23 | Italy | 532.32 | 0.8% | 23 |
| 24 | United Kingdom | 434.67 | 0.7% | 24 |
| 25 | Belgium | 428.86 | 0.7% | 25 |
| 26 | Indonesia | 373.78 | 0.6% | 26 |
| 27 | Turkey | 364.73 | 0.6% | 27 |
| 28 | Zambia | 361.53 | 0.6% | 28 |
| 29 | Thailand | 278.72 | 0.4% | 29 |
| 30 | France | 264.79 | 0.4% | 30 |
| 31 | Korea | 253.03 | 0.4% | 31 |
| 32 | Ireland | 237.34 | 0.4% | 32 |
| 33 | Viet Nam | 200.04 | 0.3% | 33 |
| 34 | Bahrain | 171.77 | 0.3% | 34 |
| 35 | Canada | 171.11 | 0.3% | 35 |
| 36 | Poland | 170.15 | 0.3% | 36 |
| 37 | Eswatin | 164.41 | 0.3% | 37 |
| 38 | Argentina | 151.68 | 0.2% | 38 |
| 39 | Pakistan | 141.19 | 0.2% | 39 |
| 40 | Singapore | 133.47 | 0.2% | 40 |
| 41 | Qatar | 118.47 | 0.2% | 41 |
| 42 | South Sudan | 115.62 | 0.2% | 42 |
| 43 | Switzerland | 113.47 | 0.2% | 43 |
| 44 | Hong Kong | 108.22 | 0.2% | 44 |
| 45 | Sweden | 105.33 | 0.2% | 45 |
| 46 | Spain | 91.22 | 0.1% | 46 |
| 47 | Denmark | 87.39 | 0.1% | 47 |
| 48 | Taiwan | 79.06 | 0.1% | 48 |
| 49 | Australia | 77.78 | 0.1% | 49 |
| 50 | Rwanda | 76.16 | 0.1% | 50 |
| Share | ||||
|---|---|---|---|---|
| 1 | United Arab Emirates | 12,123.40 | 33.8% | 1 |
| 2 | Hong Kong | 2,696.02 | 7.5% | 2 |
| 3 | Italy | 2,331.65 | 6.5% | 3 |
| 4 | Democratic Republic of Congo | 2,325.75 | 6.5% | 5 |
| 5 | Kenya | 1,976.90 | 5.5% | 4 |
| 6 | United States of America | 1,722.71 | 4.8% | 6 |
| 7 | United Kingdom | 1,663.72 | 4.6% | 7 |
| 8 | South Sudan | 1,564.09 | 4.4% | 8 |
| 9 | Germany | 1,194.45 | 3.3% | 9 |
| 10 | Rwanda | 1,037.41 | 2.9% | 10 |
| 11 | Netherlands | 864.65 | 2.4% | 11 |
| 12 | Belgium | 538.88 | 1.5% | 12 |
| 13 | Indonesia | 517.00 | 1.4% | 13 |
| 14 | Malaysia | 465.46 | 1.3% | 14 |
| 15 | United Republic of Tanzania | 446.62 | 1.2% | 15 |
| 16 | Spain | 437.87 | 1.2% | 16 |
| 17 | India | 417.36 | 1.2% | 17 |
| 18 | China | 375.63 | 1.0% | 18 |
| 19 | Sudan | 350.06 | 1.0% | 19 |
| 20 | Morocco | 279.13 | 0.8% | 20 |
| 21 | Algeria | 270.06 | 0.8% | 21 |
| 22 | Switzerland | 246.35 | 0.7% | 22 |
| 23 | Burundi | 222.72 | 0.6% | 23 |
| 24 | Russian Federation | 165.67 | 0.5% | 24 |
| 25 | Portugal | 159.28 | 0.4% | 25 |
| 26 | Viet Nam | 111.58 | 0.3% | 26 |
| 27 | Egypt | 110.28 | 0.3% | 27 |
| 28 | Turkey | 109.57 | 0.3% | 28 |
| 29 | Japan | 105.88 | 0.3% | 29 |
| 30 | Canada | 95.29 | 0.3% | 30 |
| 31 | Slovenia | 87.95 | 0.2% | 31 |
| 32 | Greece | 84.36 | 0.2% | 32 |
| 33 | Israel | 81.70 | 0.2% | 33 |
| 34 | Poland | 80.00 | 0.2% | 34 |
| 35 | France | 67.14 | 0.2% | 35 |
| 36 | Tunisia | 52.79 | 0.1% | 36 |
| 37 | Saudi Arabia | 47.86 | 0.1% | 37 |
| 38 | Bulgaria | 44.60 | 0.1% | 38 |
| 39 | Australia | 43.70 | 0.1% | 39 |
| 40 | Latvia | 43.57 | 0.1% | 40 |
| 41 | Sweden | 40.94 | 0.1% | 41 |
| 42 | South Africa | 35.18 | 0.1% | 42 |
| 43 | Nigeria | 34.38 | 0.1% | 43 |
| 44 | Korea | 34.33 | 0.1% | 44 |
| 45 | Romania | 31.95 | 0.1% | 45 |
| 46 | Zambia | 31.75 | 0.1% | 46 |
| 47 | Mexico | 30.38 | 0.1% | 47 |
| 48 | Estonia | 27.74 | 0.1% | 48 |
| 49 | Somalia | 24.97 | 0.1% | 49 |
| 50 | Congo | 22.58 | 0.1% | 50 |
What this ledger would show next, and the source that would unlock it. Nothing below is estimated in the meantime.
Awaiting official source
District revenue. Tax collected by district. URA's exports carry district counts of taxpayers, which chapter six shows, but no district revenue series is public.
Awaiting official source
Fuel imports by country. The country tables cover non-fuel imports only. Fuel imports by origin would complete the inbound ledger.
Awaiting official source
Every partner, every year. The books for FY2018/19 to FY2020/21 print the total of all partners; the later books list the top 50 only, with no grand total.
Awaiting official source
Tax by partner. Each book also prints taxes collected on non-fuel imports by country of origin. They are not yet part of this ledger.
Awaiting official source
The missing books. The FY2019/20 book on file has no readable text, and no FY2021/22 or FY2022/23 book is on file; those years come from later books, and the FY2021/22 export column is misprinted in both books that carry it.
Awaiting official source
FY2025/26. The next data book. This ledger runs to the latest year URA has published.
Sources: the URA Annual Data Books for FY2017/18, FY2018/19, FY2020/21, FY2023/24 and FY2024/25, read on 2026-10-22 by scripts/tax-maps/extract_border_ledger_years.py, which takes every cell from its box on the page. Each year comes from one book, the one published for it where it can be read. Every year whose book prints a sub-total adds up to it, which is tested; two misprints are flagged and not charted: India's FY2016/17 imports (printed 2.73) and the FY2021/22 export column.
Imports are non-fuel imports by country of origin; exports are by country of destination; both are recorded customs values in UGX bn, not tax. Names follow the books, with their varying spellings joined (“DRC” and “Democratic Republic of Congo”, “Swaziland” and “Eswatini”, “Korea” as the Republic of Korea). Bahrain, Hong Kong and Singapore are too small to see at world scale and are drawn as points at their real coordinates. Boundaries are Natural Earth at 1:50m.
On the globe, a country's height is its value; arc thickness grows with the square root of value; each particle stands for a fixed sum stated in the key (UGX 10 bn on desktop, UGX 25 bn on phones). Map colours are six quantile classes whose key shows their real edges.