Image by Anouk Delafortrie | EU | ECHO. People in Sudan face high and persistent levels of malnutrition.
  • Factsheet
  • 6 February 2023

Aid in 2021: Key facts about official development assistance

Our factsheet highlights key analysis of global aid reported in 2021. It includes the latest DAC data on providers, recipients, sectors and climate targeting.

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Authors

Euan Ritchie , Rob Tew

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Introduction

This resource highlights key facts from DI’s analysis of global aid reported in 2021. Go directly to the Key facts .

We use the most recently available dataset (published in late December 2022). [1] The factsheet includes data on aid (specifically official development assistance – ODA) reported to the Organisation for Economic Co-operation and Development’s Development Assistance Committee (OECD DAC). [2] For more about OECD DAC data, see About the data.

The dataset allows us to analyse bilateral ODA (where one government provides ODA directly to another) and ODA disbursements from multilateral organisations (where organisations like the UN or World Bank provide ODA to governments). When analysing the data we use constant prices. We also use gross disbursements, rather than grant equivalent. This means the data we present may differ from that seen elsewhere. You can read about the benefits of this approach, and more detail about the data, later in this factsheet .

As a result of the Covid-19 pandemic, it is estimated that the global poverty rate increased from 7.8% to 9.1%. [3] In 2021, over a third of the world’s people in need (around 306 million people) faced overlapping risks that included climate vulnerability, socioeconomic fragility and conflict. [4] ODA plays a critical role, particularly in the countries facing the biggest challenges where domestic resources are scarce and access to international markets is difficult. In this factsheet we analyse some ODA trends and unpack what the numbers tell us about where and how ODA is spent.

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Key facts about aid in 2021

  1. Total ODA gross disbursements from DAC donors and multilateral organisations decreased in 2021 to US$205.6 billion, from US$209.6 billion in 2020 . Although DAC donors increased gross disbursements by US$7.5 billion (6%) in 2021 (to US$136.4 billion – the highest ever), disbursements from multilateral donors fell by US$11.6 billion (14%), meaning total ODA gross disbursements were lower than in 2020.
  2. India, Bangladesh and Sudan received the largest amounts of ODA in 2021.
  3. Health, humanitarian and infrastructure sectors received the largest amounts of ODA in 2021.
  4. Less than a third of ODA was disbursed to countries grouped as least developed and/or low income in 2021 (a fall of 2.0% from 2020).
  5. Total bilateral ODA marked as having a climate objective grew (up from US$27.1 billion in 2020 to US$28.4 billion in 2021) , driven by increases in adaptation finance.
  6. The proportion of ODA that governments provided as grants increased for the first time since 2018 (up from 78% in 2020 to 81% in 2021).
  7. An increased proportion of total ODA was spent within the country that provided it (i.e. was not transferred to the recipient country). This rose from 12.8% in 2020 to 13.9% in 2021.

Other resources

► Read more from DI on ODA .

► Visit our interactive aid tracker to track commitments and disbursements of aid and other types of global development finance.

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Back in 2022, Development Initiatives provided more in-depth analysis on a preliminary release of data from the OECD-DAC . This was supplemented by data drawn from the International Aid Transparency Initiative.

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ODA from governments increased, while ODA from multilaterals fell in 2021

Figure 1: ODA from DAC countries and multilaterals (US$ billion)

Figure 1: ODA from DAC countries and multilaterals (US$ billion)
US$ billions
Year DAC donors Multilateral organisations
2011 103 43
2012 97 46
2013 107 49
2014 105 49
2015 113 55
2016 123 56
2017 126 59
2018 121 56
2019 121 60
2020 129 81
2021 136 69

Source: OECD DAC data

Notes: Gross ODA disbursements from DAC donors and multilateral organisations, constant 2020 prices.

In 2021, DAC-member governments and multilateral bodies provided a total of US$205.6 billion in ODA. [5] This was US$4.1 billion lower than in 2020 – a fall of 2% (yet the total was still higher than other previous years).

Aid provided by governments (bilateral ODA) rose by 6% (US$7.5 billion) in 2021. Multilateral ODA disbursements (aid provided by multilateral organisations) fell by 14% (US$11.6 billion).

Large multilateral organisations that reduced their aid in 2021 included the International Monetary Fund (IMF) (by US$5.7 billion), the World Bank (by US$1.9 billion) and regional development banks (collectively by US$2.2 billion). In many cases these organisations had in 2020 provided especially high levels of support to governments affected by the economic impacts of the Covid-19 pandemic (particularly the IMF’s emergency financing facility).

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India, Bangladesh and Sudan received the largest amounts of aid

Table 1: Top five recipients of ODA, 2021

Country Rank 2021 Rank
2020
2021
(US$ billions)
2020
(US$ billions)
Change
2020-21 (US$ billions)
India 1 3 6,370 5,309 +1,061
Bangladesh 2 1 6,082 6,442 -361
Sudan 3 46 4,609 1,292 +3,318
Afghanistan 4 5 4,238 4,190 +49
Ethiopia 5 2 3,914 5,437 -1,523

Source: OECD DAC data

Notes: Gross ODA disbursements from DAC donors and multilateral organisations, constant 2020 prices. For an expanded list, see Appendix 1.

In 2021, India received US$6.4 billion in aid from DAC-member governments and multilateral bodies – the largest total of any country, and an increase on 2020 of one billion. This was due to a US$1.7 billion increase in ODA provided by Japan (mainly in the form of loans for infrastructure projects).

Bangladesh received the second-largest total (US$6.1 billion), and Sudan received the third largest (US$4.6 billion). ODA to Sudan increased by 250% (US$3.3 billion) from 2020 – the biggest increase in ODA to any recipient country. This was due to:

  • The IMF providing US$1.3 billion in budget-support loans to Sudan in 2021 (Sudan received no budget support from the IMF in 2020).
  • The International Development Association (part of the World Bank) giving almost US$1.3 billion in grants to Sudan (compared with just US$100 million in 2020).
  • The US increasing funding to Sudan by almost US$0.5 billion (primarily due to increased funding of the World Food Programme’s emergency work in Sudan).
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Health, humanitarian and infrastructure sectors received the most aid

Table 2: Sectors receiving the most ODA, 2021

Sector Rank 2021 Rank
2020
2021
(%)
2020
(%)
Health 1 1 16% 14%
Humanitarian 2 3 13% 11%
Infrastructure 3 4 11% 10%
Governance
and civil society
4 2 10% 12%
Business
and industry
5 6 7% 7%

Source: OECD DAC data

Notes: Gross ODA disbursements from DAC donors and multilateral organisations, constant 2020 prices. See Appendix 2 for more detail.

In 2021, the sectors that received the greatest share of ODA from governments and multilateral bodies were health (16%), humanitarian (13%), infrastructure (11%), governance and civil society (10%) and business and industry (7%).

General budget support

In 2020, ‘general budget support’ received 8% of ODA – an unusually high proportion – due in part to the IMF’s programme of budget support lending in response to the economic impact of Covid. In 2021, general budget support decreased to 4%, due to the tailing off of IMF’s programme.

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Less than a third of aid was disbursed to countries grouped as least developed and/or low income

Figure 2: ODA disbursements to countries grouped as ‘least developed’ and/or ‘low income’ (%)

Figure 2: ODA disbursements to countries grouped as ‘least developed’ and/or ‘low income’ (%)
Percentage
year %
2011 32
2012 31
2013 34
2014 30
2015 29
2016 27
2017 29
2018 30
2019 31
2020 32
2021 30

Source: OECD DAC data

Notes: Gross disbursements from DAC donors and multilateral organisations, constant 2020 prices. This chart shows the total proportion of ODA disbursed to countries grouped as least developed countries (LDCs; designated by the UN) and/or low-income (LICs; assessed by the World Bank).

ODA to low-income countries and least developed countries

The share of ODA disbursements to countries facing the greatest challenges fell from 32% in 2020 to 30% in 2021. This grouping includes low-income countries (LICs; assessed by the World Bank to have the lowest income per person). [6] It also includes the least developed countries, (LDCs; designated by the UN as those “facing severe structural impediments to sustainable development […] highly vulnerable to economic and environmental shocks and have low levels of human assets”). [7]

ODA from governments to LDCs has remained steady (24.8% in 2020 to 24.2% in 2021). ODA provided by multilateral donors to LDCs fell from 43.9% to 40.8% (although the proportion of aid from multilaterals organisations to LDCs had been increasing since 2014, when the share was 36.7%).

ODA to other income groups, and ODA not allocated by country

Technically, ODA can be allocated to low-income countries, lower-middle income countries and upper-middle income countries (as defined by the World Bank). [8]

In 2021, however, all these income groups recorded a decrease in gross ODA disbursements from DAC countries and multilaterals. There was a US$7.6 billion increase in aid that was not allocated by country, and therefore could not be assigned an income group. Gross disbursements in this category have been increasing steadily for over a decade and now account for 32% of disbursements (and 41% of bilateral ODA from DAC countries).

An increase in unallocated ODA in 2021 was largely a result of both an increase in in-donor refugee costs in the US and an increase in aid channelled via GAVI (the vaccine alliance) to help respond to the Covid-19 pandemic. The increased aid via GAVI was mainly counted as bilateral rather than multilateral as it is given for a specific purpose.

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Total bilateral ODA marked as having a climate objective rose (driven by increases in adaptation finance)

Figure 3: ODA disbursements by climate focus from DAC countries (US$ billion)

Figure 3: ODA disbursements by climate focus from DAC countries (US$ billion)

Placeholder

US$ billions
Year Mitigation Both Adaptation
2011 6 2 3
2012 5 2 3
2013 7 3 4
2014 6 4 4
2015 8 5 5
2016 8 5 5
2017 10 5 6
2018 12 5 6
2019 13 5 7
2020 11 7 9
2021 10 6 12

Source: OECD DAC data

Notes: Gross ODA disbursements from DAC donors, constant 2020 prices.

DAC-member governments increased the amount of bilateral ODA specified as having a climate objective from US$27.1 billion in 2020 to US$28.4 billion in 2021, an increase of 4.8%. However, as gross bilateral ODA grew by slightly more (by 5.8%, from US$128.9 billion to US$136.4 billion), the share of bilateral ODA marked as having a climate objective fell slightly, from 21.0% to 20.8%.

Adaptation and mitigation

Climate ODA can be tracked using the Rio markers. [9] This lets us see whether ODA is targeted at either adaptation, mitigation or both. In 2021, adaptation-marked ODA accounted for 44% of climate-marked ODA. The volume of ODA targeted at climate mitigation fell slightly (from 41.6% in 2020 to 36.9% in 2021). The volume of ODA that was targeted at both adaptation and mitigation was 19.5% in 2021.

Aid for climate adaptation aims to reduce vulnerability to the current and expected impacts of climate change by maintaining or increasing resilience. [10]

Aid for climate mitigation aims to reduce climate change by stabilising greenhouse gas concentrations in the atmosphere, promoting efforts to reduce or limit emissions and/or enhancing the capture and storage of emissions. [11]

The increase in overall volumes of climate ODA was driven by growth in ODA targeted at climate adaptation, from US$9.2 billion to US$12.4 billion, (or from 7.2% to 9.1% of total climate ODA). In turn, this increase was due to loans rather than grants. Bilateral loan disbursements marked with an adaptation objective increased threefold (from US$2.1 billion to US$6.3 billion), whereas grant financing with an adaptation objective fell (from US$7.0 billion to US$6.1 billion).

Figure 4: Adaptation-marked bilateral ODA by flow type, 2021 (US$ billion)

Figure 4: Adaptation-marked bilateral ODA by flow type, 2021 (US$ billion)

Placeholder

US$ billions
Year Grant Loan Equity
2011 2.2 0.3 0.0
2012 2.6 0.2 0.0
2013 3.2 0.7 0.1
2014 3.1 0.8 0.1
2015 4.0 1.0 0.1
2016 4.0 1.1 0.0
2017 4.4 1.3 0.0
2018 4.8 1.5 0.0
2019 5.6 1.5 0.1
2020 7.0 2.1 0.1
2021 6.1 6.3 0.0

Source: OECD DAC data

Notes: Gross ODA disbursements from DAC donors, constant 2020 prices.

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Bilateral aid provided as grants increased for the first time since 2018

Figure 5: Share (%) of DAC bilateral government ODA provided to each income group as grants

Figure 5: Share (%) of DAC bilateral government ODA provided to each income group as grants

Placeholder

%
Year LDCs and other LICs LMICs UMICs
2011 97.30687 70.09926 69.30871
2012 96.07097 71.34056 67.40603
2013 90.81504 70.52602 64.66336
2014 94.0037 65.50863 61.53875
2015 93.28093 63.32855 62.23589
2016 93.70572 64.91971 71.51154
2017 90.42288 62.68045 69.48392
2018 89.81402 63.93807 69.35774
2019 88.85174 60.98359 72.38912
2020 84.1441 56.87363 65.06019
2021 86.98134 58.11161 66.05163

Source: OECD DAC data

Notes: Gross ODA disbursements from DAC donors, constant 2020 prices. The LDC category refers to both ODA disbursed to low-income countries (LICs; designated by the World Bank) and/or the least developed countries (LDCs; designated by the UN)

Overall, the percentage of bilateral aid from DAC providers given as grants increased from 78% in 2020 to 81% in 2021. This was the first increase in the share of grants in bilateral aid since 2018, but the share remains lower than in any year since 2006 (before which data is less reliable). The increase recorded in 2021 was common to all income groups; in particular, the share of bilateral ODA given to LDCs and other LICs as grants was 84% in 2020, but increased to 87% in 2021.

However, loans that were granted declined in their concessionality. Using the DAC’s (highly contested) method of measuring concessionality, [12] the average grant element of loans to LDCs decreased slightly from 74.9% to 74.1% between 2020 and 2021.

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An increased proportion of bilateral ODA was spent within the country that provided it

Figure 6: DAC ODA disbursements, US$ billion: bilateral (transfer), multilateral and non-transfer

Figure 6: DAC ODA disbursements, US$ billion: bilateral (transfer), multilateral and non-transfer
US$ billion
Year Non-transfer ODA Bilateral transfer ODA Multilateral ODA
2011 20.07333 83.57723 37.23264
2012 17.81205 79.88738 36.86185
2013 20.40364 86.36951 39.20412
2014 17.21711 87.59821 40.34307
2015 23.91593 89.0697 39.82044
2016 30.35669 93.03903 45.18217
2017 27.43301 98.37589 44.22756
2018 23.05305 97.80467 45.53612
2019 22.9055 98.07689 44.79034
2020 22.56558 106.3247 47.98916
2021 26.19385 110.2205 52.6976

Source: OECD DAC data

Notes: Gross ODA, constant 2020 prices. Previous charts referred to ODA disbursements from multilaterals. By contrast, this chart includes multilateral ODA which refers to core contributions from donor countries to multilateral organisations. Hence, by definition, multilateral ODA is also ‘transfer’ ODA.

The proportion of total ODA spent domestically (also known as ‘non-transfer aid’) increased from 12.8% to 13.9% between 2020 and 2021.

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Box 1

What does non-transfer aid include?

Non-transfer aid includes in-donor refugee costs, imputed student costs, in-donor scholarships, administrative costs and the promotion of development awareness. It also includes debt relief, whereby governments and organisations who provide aid are allowed to include debts that are rescheduled or forgiven as ODA. The amount that can be reported as aid is capped to the nominal value of the original loan. [13]

Key changes in non-transfer ODA: UK, US and Italy

The 2021 increase was partly driven by increases in in-donor refugee costs in both the UK and US.

In the UK, in-donor refugee costs increased by 66%, from US$805 million to US$1,339 million in 2021. This was partly due to an increasing number of asylum applications, but also to the higher costs associated with providing emergency accommodation to increasing numbers of people seeking asylum.

In the US, in-donor refugee costs tripled, from US$1,506 million to US$4,563 million in 2021. Expenditure on administrative costs in the US rose by 30%, from US$2.7 billion to US$3.5 billion.

Italy’s share of non-transfer aid more than doubled, from 8.3% in 2020 to 19.9% in 2021. This was primarily caused by cancelling debt held by Somalia (US$596 million). This was part of the ‘Heavily Indebted Poor Countries’ initiative and included debt relief on both past ODA loans and ‘other official flow’ (OOF) loans (the former would not be counted as net ODA).

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About the data

About OECD DAC data

DAC members, which include all the main bilateral donor countries plus agencies of the EU, are obligated to report ODA data to these databases. In addition, all the main multilateral organisations voluntarily report their ODA commitments and disbursements. ODA data reported to the DAC is governed by a comprehensive set of reporting directives which means the data is standardised and comparable across different donors. Some countries which are not DAC members also report to the DAC, but many do not, (including large providers such as China and Brazil). For this reason, analysis is limited to DAC members and multilateral organisations.

You can find more information on the OECD DAC’s creditor reporting system database , and see the full data for download .

Key reporting changes

  • A number of countries and organisations that reported ODA to the DAC in 2020 did not do so in 2021.
  • Some (though fewer) countries and organisations that did not report ODA in 2020 did so in 2021.
  • Moreover, GAVI reported all US$1.7 billion disbursements in a single CRS record (marked ‘preliminary’).

Additional data might be included in future updates.

Our analysis

We use constant prices. This means our analysis shows the changes in ODA without the impacts of inflation.

We use gross disbursements, rather than grant equivalent. The difference between gross disbursements and the grant-equivalent measure is how ODA loans are accounted for. Gross disbursements means the full face value of the loan is reported, whereas the grant equivalent measure means only a percentage of the loan is counted as ODA. This percentage depends on how concessional the loan is – the softer the loan, the higher the percentage counted as ODA. Gross disbursements are used in this analysis as that is more reflecting of the amount of money actually transferred in the year concerned.

This means the data we present may differ from that seen elsewhere.

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Appendix 1

Table A1: Largest ODA recipients by volume in 2021, with change from 2020

Country Rank 2021 Rank
2020
2021
(US$ billions)
2020
(US$ billions)
Change
2020-21 (US$ billions)
India 1 3 6,370 5,309 1,061
Bangladesh 2 1 6,082 6,442 -361
Sudan 3 46 4,609 1,292 3,318
Afghanistan 4 5 4,238 4,190 49
Ethiopia 5 2 3,914 5,437 -1,523
Pakistan 6 7 3,524 3,533 -9
Nigeria 7 6 3,498 3,678 -180
Egypt 8 23 3,496 2,232 1,264
Kenya 9 4 3,443 4,535 -1,092
Democratic
Republic of the Congo
10 8 3,422 3,529 -107
Jordan 11 12 3,205 3,096 109
Türkiye 12 17 2,941 2,669 273
Syrian
Arab Republic
13 14 2,757 2,875 -118
Indonesia 14 9 2,651 3,442 -791
Tanzania 15 20 2,630 2,472 158
Uganda 16 11 2,535 3,190 -655
Yemen 17 24 2,448 2,133 315
Somalia 18 10 2,279 3,316 -1,037
Viet
Nam
19 18 2,271 2,542 -271
Mozambique 20 16 2,230 2,709 -480

Source: OECD DAC

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Appendix 2

Table A2: Sector recipients of ODA, 2021

Sector Rank 2021 Rank
2020
2021
(%)
2020
(%)
Health 1 1 16% 14%
Humanitarian 2 3 13% 11%
Infrastructure 3 4 11% 10%
Governance
and civil society
4 2 10% 12%
Business
and industry
5 6 7% 7%
Education 6 7 6% 7%
Agriculture
and food security
7 8 5% 5%
Budget
support
8 5 4% 8%
Other
social services
9 9 4% 4%
Water
and sanitation
10 10 3% 3%
Environment 11 11 2% 2%
Debt
relief
12 12 1% 1%
Other - - 18% 16%

Source: OECD DAC

Notes For more detail on sectors, see this OECD page: https://stats.oecd.org/Index.aspx?DataSetCode=crs1

Notes