Ethiopia vs Thailand: Government debt
Government debt in 2024: 33.5% of GDP in Ethiopia and 62.9% of GDP in Thailand, by IMF estimates. In 2024 the value was higher in Thailand, by 29.4 percentage points, or 1.88 times that in Ethiopia.
EthiopiaThailand
Watch it change on the mapChange since 1996, percentage points · IMF
Latest figures
% of GDP · IMF
| Country | Latest | 10 years before | Projected |
|---|---|---|---|
| Ethiopia | 33.5 2024 | 44.2 | 27.5 2031 |
| Thailand | 62.9 2024 | 43.3 | 69.8 2031 |
What the numbers say
- Thailand has been higher since 2021, when it overtook Ethiopia.
- The IMF projection (World Economic Outlook, October 2026) puts Ethiopia at 27.5% of GDP and Thailand at 69.8% of GDP in 2031.
Every year
% of GDP · IMF
| Year | Ethiopia | Thailand |
|---|---|---|
| 2024 | 33.5 | 62.9 |
| 2023 | 38.7 | 62.2 |
| 2022 | 47 | 60.6 |
| 2021 | 53.8 | 58.4 |
| 2020 | 53.3 | 49.4 |
| 2019 | 54.7 | 41.1 |
| 2018 | 58.5 | 41.9 |
| 2017 | 55.3 | 41.8 |
| 2016 | 51.8 | 41.7 |
| 2015 | 50.7 | 42.6 |
| 2014 | 44.2 | 43.3 |
| 2013 | 44.1 | 42.2 |
| 2012 | 39.4 | 41.9 |
| 2011 | 44.6 | 39.1 |
| 2010 | 39.4 | 39.8 |
| 2009 | 30 | 42.4 |
| 2008 | 56.1 | 35 |
| 2007 | 55.7 | 36 |
| 2006 | 79.6 | 39.2 |
| 2005 | 78.2 | 45.5 |
| 2004 | 103.1 | 46.3 |
| 2003 | 103.7 | 47.5 |
| 2002 | 107.4 | 54.9 |
| 2001 | 97.3 | 57.5 |
| 2000 | 93.6 | 57.8 |
| 1999 | 97.8 | 56.6 |
| 1998 | 89.3 | 49.9 |
| 1997 | 80.3 | 40.5 |
| 1996 | 132.8 | 15.2 |
| 1995 | 146.6 | – |
| 1994 | 155.2 | – |
| 1993 | 141 | – |
| 1992 | 87.9 | – |
IMF projection (World Economic Outlook, October 2026) · 2025–2031
| Year | Ethiopia | Thailand |
|---|---|---|
| 2025 | 43.3 | 64.7 |
| 2026 | 40.7 | 67.2 |
| 2027 | 37 | 68.5 |
| 2028 | 34.2 | 69.1 |
| 2029 | 31.8 | 69.4 |
| 2030 | 29.7 | 69.6 |
| 2031 | 27.5 | 69.8 |
Each country on its own
Good to know
- What the government owes, as a share of the economy’s yearly output.
- Source: IMF, World Economic Outlook, October 2026.
- The dashed line is the IMF projection (World Economic Outlook, October 2026), a scenario rather than a forecast.
How the layers work, where their data comes from and what they can’t tell you: Countries through time