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Yemen, Rep.

Updated: July 2026

Key Insights
The resources applied by the Yemeni government to gather, compile, and publish national accounts data are severely inadequate.

The main national statistical agency, the Central Statistical Organization (CSO), functions under acute operational and political limitations:
  • Institutional Fragmentation and Dual Authorities: Over a decade of violent conflict has left Yemen politically divided between the internationally recognised government (based in Aden) and the Ansar Allah (Houthi) authorities (based in Sana'a). This split has fragmented the national statistical framework, preventing unified, nationwide data collection and coordination.
  • Severe Security Constraints & Territorial Access: Active frontlines, widespread unexploded ordnance, and localized conflict prevent field agents from safely carrying out comprehensive business, agricultural, or household surveys across large parts of the country.
  • Predominance of the Informal & Survival Economy: Prolonged economic collapse has forced a vast majority of the population into informal trade, subsistence agriculture, and reliance on humanitarian aid. Capturing these unrecorded survival-level activities requires extensive, expensive field operations that the state cannot fund.
  • Fiscal Collapse & Infrastructure Loss: Government budget shortfalls have starved the CSO of basic operating funds, field transport, modern digital tools, and competitive salaries for technical staff.
  • Dependence on International Estimation: Benchmark statistical exercises and routine GDP compilations have largely stalled. International organizations (such as the World Bank, IMF, and UN agencies) rely on satellite imagery, trade partner mirror statistics, and rapid sample assessments to model Yemen's economic health.
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Economics:   
GDP DATA QUALITY   /   GDP SIZE   /   GDP GROWTH   /   WEALTH   /   INEQUALITY   /   DEBT
Demographics:   
DATA QUALITY    /    POPULATION PROFILE

E.S.G.:   
ENVIRONMENTAL    /    SOCIAL    /    GOVERNANCE

 
ECONOMICS
DEMOGRAPHICS
E.S.G.
Economics sections:    GDP DATA QUALITY   /   GDP SIZE   /   GDP GROWTH   /   WEALTH   /   INEQUALITY   /   DEBT

 
GDP DATA QUALITY

Data Quality Ratings are derived from scores in five areas: Base year recency; System of National Accounts framework version; Informal economy size; Statistical resources available; and likelihood of Government interference. Scores are based on a 0-100 scale. Read more...


GDP Data Quality Ratings
Index: 0 = Extremely poor quality, 100 = Good as it gets
Ranked by Data Quality Index
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Country
 Rank
Order		 World Economics
Data Quality
(Index, 0-100)		 World Economics
Data Quality
(Rating, A-E)		 Base
Year
Chained/Year		 SNA
Framework
Version		 Informal
Economy
% of GDP		 Statistical
Resources
Index (0-100)		 Governance
Levels
Index (0-100)





Gabon 142 47.6 E 2015 1993 42.3 38.4 33.8
Guinea-Bissau 143 46.4 E 2015 1993 37.0 35.1 22.7
Burundi 144 46.0 E 2015 1993 39.6 41.4 17.8
Chad 145 44.9 E 2015 1993 41.2 35.8 20.6
Guinea 146 44.4 E 2010 1993 36.1 39.6 24.8
Myanmar 147 44.0 E 2016 1993 50.1 57.1 6.4
Libya 148 42.4 E 2013 1993 28.8 20.6 11.2
Madagascar 149 41.7 E 2007 1993 42.1 38.2 32.1
Yemen, Rep. 150 38.6 E 2007 1993 25.6 23.0 6.2
Congo, Rep. 151 36.9 E 2005 1993 40.5 24.2 26.1
Congo, Dem. Rep 152 34.5 E 2005 1993 46.9 31.5 16.0
Cambodia 153 34.4 E 2000 1993 45.5 44.8 18.7
Central African Republic 154 33.6 E 2005 1993 49.9 27.3 19.5
Afghanistan 155 31.7 E 2016 1993 73.5 28.9 5.8
Sudan 156 25.2 E 1996 1968 40.2 62.9 10.1

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Data Notes
Data Quality Index numbers shown on a scale of 0-100.
         0 = Poor, 100 = Excellent.

Rating definitions:
         A: As good as it gets
         B: Good
         C: Use with caution
         D: Poor
         E: Extremely poor quality

The index calculations and displayed data are derived from the most current and up-to-date source data available.
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GDP SIZE

GDP Size data is shown in Purchasing Power Parity terms with added estimates for the size of the informal economy and adjustments for out-of-date GDP base year data. Read more...


Gross Domestic Product (GDP)
Ranked by GDP: 2025
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Country Rank
Order		 World Economics
Data Quality
(Rating, A-E)		 2025
Estimate
Billions, PPP Int$		 2030
Estimate
Billions, PPP Int$		 Share of
Global GDP
%, 2025




Tajikistan 123 D $73 $107 0.0%
Botswana 124 C $72 $89 0.0%
Papua New Guinea 125 E $71 $82 0.0%
Kyrgyzstan 126 C $70 $96 0.0%
Albania 127 C $69 $87 0.0%
Estonia 128 A $68 $72 0.0%
Cyprus 129 B $63 $82 0.0%
North Macedonia 130 B $61 $70 0.0%
Yemen, Rep. 131 E $60 $60 0.0%
Trinidad and Tobago 132 C $60 $63 0.0%
Malawi 133 C $56 $64 0.0%
Brunei 134 C $55 $57 0.0%
Moldova 135 B $54 $61 0.0%
Mauritania 136 D $54 $68 0.0%
Haiti 137 E $52 $47 0.0%
Namibia 138 C $49 $59 0.0%
Jamaica 139 D $46 $53 0.0%

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Data Notes
Data Quality Index numbers shown on a scale of 0-100.
         0 = Poor, 100 = Excellent.

Grade definitions:
         A: As good as it gets
         B: Good
         C: Use with caution
         D: Poor
         E: Extremely poor quality


GDP in Purchasing Power Parity terms with added estimates for the size of the informal economy and adjustments for out-of-date GDP base year data.

Share of Global GDP expressed as a percentage of the sum of GDP for all countries in the World Economics database.

Projections for 2030 are made by applying IMF growth rates for 2025 and 2026, with the 5-Year Compound Annual Growth Rate (CAGR) applied thereafter to extrapolate the data to 2030.
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GDP GROWTH

Compound Annual Growth Rates (CAGR) are derived from GDP Data in Purchasing Power Parity terms with added estimates for the size of the informal economy and adjustments for out-of-date GDP base year data.


Compound Annual Growth Rate (CAGR) over the last 10-years
Ranked by CAGR: 10-Year
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Country Rank
Order		 World Economics
Data Quality
(Rating, A-E)		 CAGR
10 Year
2015-2025		 CAGR
5 Year
2020-2025		 CAGR
3 Year
2022-2025		 Share of
Global Growth
Percentage




Myanmar 140 E 0.8% -1.5% 0.4% 0.1%
Argentina 141 C 0.7% 3.5% 0.6% 0.2%
Germany 142 A 0.7% 0.9% -0.4% 0.7%
South Africa 143 C 0.7% 1.9% 0.9% 0.2%
Japan 144 A 0.5% 1.3% 0.9% 0.5%
Kuwait 145 C 0.5% 1.4% -0.3% 0.0%
Sri Lanka 146 C 0.5% -0.6% 0.1% 0.0%
Lesotho 147 C 0.0% 2.3% 2.3% 0.0%
Yemen, Rep. 148 E -0.1% 0.1% -0.5% 0.0%
Suriname 149 C -0.7% 1.4% 2.4% 0.0%
Haiti 150 E -0.8% -1.7% -1.7% 0.0%
Congo, Rep. 151 E -1.2% 2.1% 2.7% 0.0%
Ukraine 152 C -1.2% -3.9% 3.6% -0.2%
Afghanistan 153 E -1.3% -3.9% 3.3% 0.0%
Trinidad and Tobago 154 C -1.6% 1.3% 2.1% 0.0%
Lebanon 155 C -4.4% -2.9% -2.2% -0.1%
Sudan 156 E -4.8% -8.6% -13.0% -0.2%

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Data Notes
Data Quality Index numbers shown on a scale of 0-100.
         0 = Poor, 100 = Excellent.

Grade definitions:
         A: As good as it gets
         B: Good
         C: Use with caution
         D: Poor
         E: Extremely poor quality


GDP in Purchasing Power Parity terms with added estimates for the size of the informal economy and adjustments for out-of-date GDP base year data.

Share of Global GDP Growth expressed as a percentage of the sum of GDP for all countries in the World Economics database.
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WEALTH

Wealth is notoriously difficult to measure. The table below shows two measures: Income per Capita (proxied by GDP per capita) and Asset Wealth per Capita (proxied by data derived from the Credit Suisse Wealth Report). Population data is sourced from the United Nations Population Prospects database.


Income and Asset Wealth Per Capita
Indexes: 0 = Extremely poor, 100 = Good as it gets.
Data ranked by Income per Capita
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Country Income
per Capita
(2025, Int$)		 Asset Wealth
per Capita
(2024, Int$)




Congo, Dem. Rep $3.2K $0.7K
Niger $3.2K $0.6K
Madagascar $3.1K $1.1K
Liberia $2.8K $3.0K
Malawi $2.5K $1.1K
Mozambique $2.5K $0.6K
Central African Republic $2.2K $0.3K
Burundi $1.7K $0.4K
Yemen, Rep. $1.5K $3.0K

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Data Notes
Income Wealth uses GDP per capita derived from World Economics GDP data for 2025 measured in PPP Int$ terms, with added estimates for the Informal economy and adjustments for Base Year age.

Asset Wealth uses the Credit Suisse Mean Net Wealth per country data converted into per capita terms using population data from the United Nations Population Prospects database.
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INEQUALITY

The Inequality Index shown below is derived from the Gini Inequality Coefficient. Gini Country data varies considerably by date. These variations are recorded in the World Economics database.

The World Economics Inequality Index ranks each country onto a scale of 0-100, a high value indicates a more egalitarian society - and a low value suggests a lot of the national income is in the hands of very few depending upon the unit of measurement. Read more...


Inequality Rankings
Index: 0-100, 0 = High Inequality; 100 = High Equality
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Country Rank
Order		 World Economics
Inequality Index
(0-100)		 World Economics
Inequality Rating
(A-E)		 Gini
Coefficient
(%)		 Gini
Data
(Year)




Lebanon 141 28.7 E 54.2 2019
Saudi Arabia 142 28.2 E 54.4 2019
Zimbabwe 143 28.0 E 54.5 2019
Uganda 144 27.9 E 54.5 2020
Bahrain 145 25.1 E 55.7 2019
Congo, Rep. 146 24.7 E 55.9 2019
India 147 21.9 E 57.1 2019
Angola 148 20.4 E 61.1 2019
Yemen, Rep. 149 19.5 E 58.2 2019
Botswana 150 17.0 E 59.3 2019
Central African Republic 151 14.2 E 64.9 2019
Zambia 152 11.3 E 61.7 2019
Namibia 153 5.6 E 64.2 2019
Mozambique 154 4.6 E 64.6 2019
South Africa 155 2.9 E 65.4 2019
Eswatini 156 0.0 E 66.7 2017

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Data Notes
The Index is on a scale of 0-100, a high value indicates a more egalitarian society - and a low value suggests a lot of the national income is in the hands of very few depending upon the unit of measurement.

Rating definitions:
         A: Very good
         B: Good
         C: Average
         D: Poor
         E: Very poor


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DEBT

The debt-to-GDP ratio is the ratio between a country's offical government debt and its gross domestic product (GDP), the later measured in Purchasing Power Parity terms with added estimates for out-of-date adjustments for out-of-date GDP base years and the size of informal economic activity.


Debt-to-GDP Ratio
Ranked by debt as a percentage of GDP
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Country Rank
Order		 Debt
% of GDP		 Debt
Billions, Int$



Congo, Rep. 58 47.7% $36.50
Korea, Rep. 59 47.3% $1,651.47
Croatia 60 46.2% $97.72
Dominican Republic 61 46.2% $171.52
Guinea-Bissau 62 46.0% $4.70
Togo 63 46.0% $20.94
Australia 64 45.9% $849.70
Cyprus 65 45.2% $28.36
Yemen, Rep. 66 44.9% $27.12
Kenya 67 44.6% $242.51
Lebanon 68 44.4% $35.20
Mexico 69 43.8% $1,737.59
Panama 70 43.1% $102.11
Namibia 71 42.3% $20.54
Netherlands 72 41.8% $582.36
Jamaica 73 41.2% $18.86
Philippines 74 41.1% $749.65

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Data Notes
GDP is presented it in Purchasing Power Parity terms with added estimates for the size of the informal economy and adjustments for out-of-date GDP base year data.

Debt-to-GDP ratio expressed in percentage terms.
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