Data

Net official development assistance and official aid received

What you should know about this indicator

How is this data described by its producer?

Net official development assistance (ODA) consists of disbursements of loans made on concessional terms (net of repayments of principal) and grants by official agencies of the members of the Development Assistance Committee (DAC), by multilateral institutions, and by non-DAC countries to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. It includes loans with a grant element of at least 25 percent (calculated at a rate of discount of 10 percent). Net official aid refers to aid flows (net of repayments) from official donors to countries and territories in part II of the DAC list of recipients: more advanced countries of Central and Eastern Europe, the countries of the former Soviet Union, and certain advanced developing countries and territories. Official aid is provided under terms and conditions similar to those for ODA. Part II of the DAC List was abolished in 2005. The collection of data on official aid and other resource flows to Part II countries ended with 2004 data. Data are in constant 2023 U.S. dollars.

Aggregation method:

Sum

Statistical concept and methodology:

Methodology: The flows of official and private financial resources from the members of the Development Assistance Committee (DAC) of the Organisation for Economic Co-operation and Development (OECD) to developing economies are compiled by DAC, based principally on donor reports on bilateral programs by DAC members using standard questionnaires issued by the DAC Secretariat. DAC has 24 members - 23 individual economies and 1 multilateral institution (European Union institutions).

Net official development assistance (ODA) consists of disbursements of loans made on concessional terms (net of repayments of principal) and grants by official agencies of the members of DAC, by multilateral institutions, and by non-DAC countries to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. It includes loans with a grant element of at least 25 percent (calculated at a rate of discount of 10 percent). Data are in constant U.S. dollars.

Total net disbursements is the sum of grants, capital subscriptions (deposit basis), recoveries and total net loans and other long-term capital.

The ODA excludes nonconcessional flows from official creditors, which are classified as "other official flows," and aid for military and anti-terrorism purposes. Transfer payments to private individuals, such as pensions, reparations, and insurance payouts, are in general not counted. In addition to financial flows, ODA includes technical cooperation, most expenditures for peacekeeping under UN mandates and assistance to refugees, contributions to multilateral institutions such as the United Nations and its specialized agencies, and concessional funding to multilateral development banks.

Flows are transfers of resources, either in cash or in the form of commodities or services measured on a cash basis. Short-term capital transactions (with one year or less maturity) are not counted. Repayments of the principal (but not interest) of ODA loans are recorded as negative flows. Proceeds from official equity investments in a developing country are reported as ODA, while proceeds from their later sale are recorded as negative flows.

Net official aid refers to aid flows (net of repayments) from official donors to countries and territories in part II of the DAC list of recipients: more advanced countries of Central and Eastern Europe, the countries of the former Soviet Union, and certain advanced developing countries and territories. Official aid is provided under terms and conditions similar to those for ODA. Part II of the DAC List was abolished in 2005. The collection of data on official aid and other resource flows to Part II countries ended with 2004 data. Data are in current U.S. dollars.

The official development assistance (ODA) estimates are published annually at the end of the calendar year in International Development Statistics (IDS) database.

Source
Development Assistance Committee - OECD, via World Bank (2026)processed by Our World in Data
Last updated
February 27, 2026
Next expected update
February 2027
Date range
1960–2023
Unit
constant 2023 US$

Sources and processing

Development Assistance Committee - OECD, via World Bank – World Development Indicators

The World Development Indicators (WDI) database, published by the World Bank, is a comprehensive collection of global development data, providing key economic, social, and environmental statistics. It includes over 1,500 indicators covering more than 200 countries and territories, with data spanning several decades.WDI serves as a vital resource for policymakers, researchers, businesses, and analysts seeking to understand global trends and make data-driven decisions. The database covers a wide range of topics, including economic growth, education, health, poverty, trade, energy, infrastructure, governance, and environmental sustainability.The indicators are sourced from reputable national and international agencies, ensuring high-quality, consistent, and comparable data. Users can access the database through interactive online tools, API services, and downloadable datasets, facilitating detailed analysis and visualization.WDI is also used for tracking progress on the Sustainable Development Goals (SDGs) and other global development initiatives. By providing accessible and reliable statistics, it helps to inform policy discussions and strategies globally.Whether for academic research, policy planning, or economic analysis, the World Development Indicators database is an essential tool for understanding and addressing global development challenges.

Retrieved on
February 27, 2026
Citation
This is the citation of the original data obtained from the source, prior to any processing or adaptation by Our World in Data. To cite data downloaded from this page, please use the suggested citation given in Reuse This Work below.
Development Assistance Committee, Organisation for Economic Co-operation and Development (OECD), uri: https://stats.oecd.org/;
Geographical Distribution of Financial Flows to Developing Countries, Organisation for Economic Co-operation and Development (OECD), uri: https://stats.oecd.org/;
Development Co-operation Report, Organisation for Economic Co-operation and Development (OECD), uri: https://stats.oecd.org/;
International Development Statistics database, Organisation for Economic Co-operation and Development (OECD), uri: https://stats.oecd.org/. Indicator DT.ODA.ALLD.KD (https://data.worldbank.org/indicator/DT.ODA.ALLD.KD). World Development Indicators - World Bank (2026). Accessed on 2026-02-27.

The World Development Indicators (WDI) database, published by the World Bank, is a comprehensive collection of global development data, providing key economic, social, and environmental statistics. It includes over 1,500 indicators covering more than 200 countries and territories, with data spanning several decades.WDI serves as a vital resource for policymakers, researchers, businesses, and analysts seeking to understand global trends and make data-driven decisions. The database covers a wide range of topics, including economic growth, education, health, poverty, trade, energy, infrastructure, governance, and environmental sustainability.The indicators are sourced from reputable national and international agencies, ensuring high-quality, consistent, and comparable data. Users can access the database through interactive online tools, API services, and downloadable datasets, facilitating detailed analysis and visualization.WDI is also used for tracking progress on the Sustainable Development Goals (SDGs) and other global development initiatives. By providing accessible and reliable statistics, it helps to inform policy discussions and strategies globally.Whether for academic research, policy planning, or economic analysis, the World Development Indicators database is an essential tool for understanding and addressing global development challenges.

Retrieved on
February 27, 2026
Citation
This is the citation of the original data obtained from the source, prior to any processing or adaptation by Our World in Data. To cite data downloaded from this page, please use the suggested citation given in Reuse This Work below.
Development Assistance Committee, Organisation for Economic Co-operation and Development (OECD), uri: https://stats.oecd.org/;
Geographical Distribution of Financial Flows to Developing Countries, Organisation for Economic Co-operation and Development (OECD), uri: https://stats.oecd.org/;
Development Co-operation Report, Organisation for Economic Co-operation and Development (OECD), uri: https://stats.oecd.org/;
International Development Statistics database, Organisation for Economic Co-operation and Development (OECD), uri: https://stats.oecd.org/. Indicator DT.ODA.ALLD.KD (https://data.worldbank.org/indicator/DT.ODA.ALLD.KD). World Development Indicators - World Bank (2026). Accessed on 2026-02-27.

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“Data Page: Net official development assistance and official aid received”. Our World in Data (2026). Data adapted from Development Assistance Committee - OECD, via World Bank. Retrieved from https://archive.ourworldindata.org/20260512-185716/grapher/net-official-development-assistance-and-aid-received.html [online resource] (archived on May 12, 2026).

How to cite this data

In-line citationIf you have limited space (e.g. in data visualizations), you can use this abbreviated in-line citation:

Development Assistance Committee - OECD, via World Bank (2026) – processed by Our World in Data

Full citation

Development Assistance Committee - OECD, via World Bank (2026) – processed by Our World in Data. “Net official development assistance and official aid received” [dataset]. Development Assistance Committee - OECD, via World Bank, “World Development Indicators 125” [original data]. Retrieved May 14, 2026 from https://archive.ourworldindata.org/20260512-185716/grapher/net-official-development-assistance-and-aid-received.html (archived on May 12, 2026).

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Data URL (CSV format)
https://ourworldindata.org/grapher/net-official-development-assistance-and-aid-received.csv?v=1&csvType=full&useColumnShortNames=false
Metadata URL (JSON format)
https://ourworldindata.org/grapher/net-official-development-assistance-and-aid-received.metadata.json?v=1&csvType=full&useColumnShortNames=false

Code examples

Examples of how to load this data into different data analysis tools.

Excel / Google Sheets
=IMPORTDATA("https://ourworldindata.org/grapher/net-official-development-assistance-and-aid-received.csv?v=1&csvType=full&useColumnShortNames=false")
Python with Pandas
import pandas as pd
import requests

# Fetch the data.
df = pd.read_csv("https://ourworldindata.org/grapher/net-official-development-assistance-and-aid-received.csv?v=1&csvType=full&useColumnShortNames=false", storage_options = {'User-Agent': 'Our World In Data data fetch/1.0'})

# Fetch the metadata
metadata = requests.get("https://ourworldindata.org/grapher/net-official-development-assistance-and-aid-received.metadata.json?v=1&csvType=full&useColumnShortNames=false").json()
R
library(jsonlite)

# Fetch the data
df <- read.csv("https://ourworldindata.org/grapher/net-official-development-assistance-and-aid-received.csv?v=1&csvType=full&useColumnShortNames=false")

# Fetch the metadata
metadata <- fromJSON("https://ourworldindata.org/grapher/net-official-development-assistance-and-aid-received.metadata.json?v=1&csvType=full&useColumnShortNames=false")
Stata
import delimited "https://ourworldindata.org/grapher/net-official-development-assistance-and-aid-received.csv?v=1&csvType=full&useColumnShortNames=false", encoding("utf-8") clear