Франция

Agency Revenue By Government Donor for assessed revenue type

This dataset is used to report the tying status of bilateral ODA commitments. Members have agreed that administrative costs and technical co-operation expenditure should be disregarded in assessing the percentages of tied, partially untied and untied aid. These items have not been included in the data reported in this data set.

This dataset contains bilateral commitment data on aid in support of environment sustainability and aid to biodiversity, climate change mitigation, climate change adaptation and desertification from the Development Assistance Committee (DAC) Creditor Reporting System (CRS) database. In their reporting to the DAC CRS, donors are requested to indicate for each activity whether or not it targets environment and the Rio Conventions (biodiversity, climate change mitigation, climate change adaptation and desertification). A scoring system of three values is used, in which aid activities are "marked" as targeting environment as the "principal objective" or a "significant objective", or as not targeting the objective. The environment marker identifies activities that are "intended to produce an improvement in the physical and/or biological environment of the recipient country, area or target group concerned" or "include specific action to integrate environmental concerns with a range of development objectives through institution building and/or capacity development". A large majority of activities targeting the objectives of the Rio Conventions fall under the DAC definition of "aid to environment". The Rio markers permit their specific identification.

20.1. Source data

Note: CPA data for 2018 and 2019 are projections from the 2016 Survey on Forward Spending Plans. Country Programmable Aid (CPA), outlined in our Development Brief  and also known as “core” aid, is the portion of aid donors programme for individual countries, and over which partner countries could have a significant say. CPA is much closer than ODA to capturing the flows of aid that goes to the partner country, and has been proven in several studies to be a good proxy of aid recorded at country level. CPA was developed in 2007 in close collaboration with DAC members. It is derived on the basis of DAC statistics and was retroactively calculated from 2000 onwards

The objective of the CRS Aid Activity database is to provide a set of readily available basic data that enables analysis on where aid goes, what purposes it serves and what policies it aims to implement, on a comparable basis for all DAC members. Data are collected on individual projects and programmes. Focus is on financial data but some descriptive information is also made available.

This database provides aggregates on official development assistance (ODA), other official flows (OOF) and flows from non-governmental organisations (NGOs) or philanthropic foundations. These statistics are shown by provider over time. To assist with the transition between systems, we provide a mapping of codes between OECD.Stat (legacy) and the OECD Data Explorer. For more information on these flows, please see the OECD’s main page on development finance statistics, including Frequently Asked Questions (FAQs) on ODA. See the Converged Statistical Reporting Directives governing these data.

Private transactions are those undertaken by firms and individuals resident in the reporting country. To assist with the transition between systems, we provide a mapping of codes between OECD.Stat (legacy) and the OECD Data Explorer. For more information on these flows, please see the OECD’s main page on development finance statistics, including Frequently Asked Questions (FAQs) on ODA. See the Converged Statistical Reporting Directives governing these data.

Financing Global Health 2019: Tracking Health Spending in a Time of Crisis This edition of the Institute for Health Metrics and Evaluation’s annual Financing Global Health report, the 11th in the series, provides up-to-date estimates of domestic spending on health, development assistance for health, spending for HIV/AIDS, tuberculosis, and malaria, as well as projections of future health spending. Our health spending tracking and estimates show patterns between income groups and regions over time, highlight variations in how much each country spends on health, and identify where more resources are needed most. Financing Global Health 2020: Tracking Health Spending in a Time of Crisis This edition of IHME's annual Financing Global Health report, the 12th in the series, provides updated estimates of spending on health, development assistance for health, and projections of future health spending. This year's report specifically highlights changes in health spending during a global pandemic and includes dedicated sections on COVID-19, as well as in-depth analysis of pandemic preparedness spending and seven other health focus areas.

Distribution of net official development assistance (ODA) is defined as geographical aid allocations. Net ODA may be distributed by income group (least developed countries, other low-income countries, lower middle-income countries, upper middle-income countries, unallocated and more advanced developing countries and territories) or by geography (sub-Saharan Africa, South and Central Asia, other Asia and Oceania, Middle East and North Africa, Latin America and the Caribbean, Europe, and unspecified). The OECD Development Assistance Committee's "List of ODA Recipients" shows developing countries and territories eligible for ODA. The list is revised every three years. It is designed for statistical purposes, not as guidance for aid distribution or for other preferential treatment. In particular, geographical aid allocations are national policy decisions and responsibilities. This indicator is measured in million USD constant prices, using 2018 as the base year.

Note: Ex: <0.1,<0.2,<0.3 considered as 0.1,0.2,0.3 values  

IRMA is computed on one representative ton of the food aid basket the user has selected. The "representativity" of the ton comes from the fact that the shares of the commodities are the same as those in the total selected food basket. Therefore it can be used for comparisons among food aid baskets of different size and in understanding how much of their difference in nutritional content is due to the absolute value in metric tons of the donations and how much is due to the nutritional qualities of food delivered.   IRMA, IRMAs and IRMAt provide only information on their 'nutritional potential' of meeting average requirements.

The energy intake of a human being is the only one among the nutrients that cannot in the short run be renounced without putting at immediate risk the possibility of survival itself. A lack of other nutrients increases susceptibility to infections and slows cognitive development and growth, contributing to poorer school performance and reduced work productivity. These effects are largely irreversible and long term, particularly when they occur at a young age. For these reasons, the IRMAs computation takes the content of Energy as a benchmark to compare with the other nutrients' content. For the calculation of IRMAs, we start with the IRMA values for each nutrient. IRMA of a nutrient counts the number of average individuals that could potentially be satisfied by the nutrient contained in a ton of food aid.   IRMA, IRMAs and IRMAt provide only information on their 'nutritional potential' of meeting average requirements.

IRMAt (Individual Requirements Met on Average, Total) can be considered an alternative measure for food aid deliveries. By knowing how many tons of which commodity are contained in the food aid basket, it is easy to compute how many micrograms of nutrients there are in the overall basket. But, a measure like that would not be easy to interpret. Furthermore, each nutrient is measured in a different unit (for example, vitamin C is measured in micrograms and fat is measured in grams). IRMAt 'standardizes' the nutritional content of food aid by taking it as a percentage of human nutritional requirements. IRMAt of a nutrient is nothing but the number of individual requirements that could potentially be met on an annual basis by the total food aid deliveries selected. IRMAt values are descriptive of a food aid basket and are dependent on the absolute value in tonnage. They give information that reflects both nutritional content and the size of the food aid deliveries. From this point of view IRMAt can be considered a unit of measurement for food aid flows: it measures food aid basket by the number of average individuals that its nutritional content could potentially satisfy.   IRMA, IRMAs and IRMAt provide only information on their 'nutritional potential' of meeting average requirements.

This table contains deflators for resource flows for individual DAC Members from 1966 as well as the TOTAL DAC deflator, and the deflator for the EURO (EC). The deflators include the effect of exchange rate changes and are therefore only applicable to US dollar figures. The OECD uses the latest deflator to convert current prices to constant prices. The latest available base year used is the base year equal to 100. The OECD applies the total DAC deflator to individual recipient countries and multilateral donors to calculate their receipts or flows in constant prices.

Bilateral ODA commitments by purpose. Data cover the years 2005 to 2009. Amounts are expressed in USD million. The sectoral distribution of bilateral ODA commitments refers to the economic sector of destination (i.e. the specific area of the recipient's economic or social structure whose development is, or is intended to be fostered by the aid), rather than to the type of goods or services provided. These are aggregates of individual projects notified under the Creditor Reporting System, supplemented by reporting on the sectoral distribution of technical co-operation, and on actual disbursements of food and emergency aid.

Research by the Global Burden of Disease Health Financing Collaborator Network produced projected health spending estimates for 2019-2050 for 204 countries and territories. The estimates cover total health spending, health spending disaggregated by source into three domestic financing source categories (government, out-of-pocket, and Prepaid Private), and development assistance for health (DAH). Retrospective health spending estimates for 1995-2018 and key covariates (including GDP per capita, total government spending, total fertility rate, and fraction of the population older than 65 years) were used to forecast GDP and health spending through 2050. Estimates are reported in constant 2020 US dollars, constant 2020 purchasing-power parity-adjusted (PPP) dollars, and as a percent of gross domestic product.

Data cited at: Financial Tracking Service

FAOSTAT database on Agriculture Machinery is no longer active. The latest online version of the database has as reference year 2009 (with data collected in year 2011). UN FAO Resource Statistics - Machinery. The Agricultural Resources domain covers: Investment, Land and irrigation, Labor, Machinery, Fertilizers, Pesticides, Population. The Resources domain considers factors of production for the agricultural sector. Broadly speaking, this section details how countries differ in endowments of the three classic inputs: labor, land and capital. Qualitative differences are important for each but are particularly difficult to summarize in a single indicator for land, the productivity of which depends heavily on water and soil conditions.

This dataset presents members' total use of the multilateral system i.e. both their multilateral aid ("Core contributions to") and bilateral aid channelled through ("Contributions through") multilateral organisations. These data originate from members' reporting at item-level in the CRS and are published here starting with 2011 data (item-level data for multilateral aid is not complete in CRS for earlier years).

Official development assistance (ODA) is defined as government aid designed to promote the economic development and welfare of developing countries. Loans and credits for military purposes are excluded. Aid may be provided bilaterally, from donor to recipient, or channelled through a multilateral development agency such as the United Nations or the World Bank. Aid includes grants, "soft" loans and the provision of technical assistance. The OECD maintains a list of developing countries and territories; only aid to these countries counts as ODA. The list is periodically updated and currently contains over 150 countries or territories. 

Official development assistance (ODA) consists of grants or loans that are undertaken by the official sector with the objective of promoting economic development and welfare in recipient countries. Disbursements record the actual international transfer of financial resources, or of goods or services valued at the cost of the donor. ODA is here presented as a share of Gross National Income (GNI). GNI at market prices equals Gross Domestic Product (GDP) minus primary income payable by resident units to non-resident units, plus primary income receivable by resident units from the rest of the world. The EU made a commitment to collectively reach official development assistance of 0.7% of GNI by 2015 and of 0.56% of GNI as an intermediate target by 2010. The list of countries and territories eligible to receive ODA is determined by the OECD’s Development Assistance Committee (DAC).

Official development assistance (ODA) consists of grants or loans that are undertaken by the official sector with the objective of promoting economic development and welfare in recipient countries. Disbursements record the actual international transfer of financial resources, or of goods or services valued at the cost of the donor. ODA is here presented as a share of Gross National Income (GNI). GNI at market prices equals Gross Domestic Product (GDP) minus primary income payable by resident units to non-resident units, plus primary income receivable by resident units from the rest of the world. The list of countries and territories eligible to receive ODA is determined by the OECD’s Development Assistance Committee. Since reference year 2016, the EU27 (from 2020) aggregate refers to the ODA provided by the EU and its Member States 'EU collective ODA'.

The indicator is defined as net disbursements for Official Development Assistance (ODA) at market prices to the countries of the Development Assistance Committee (DAC) list of recipients. It is presented per inhabitant both for donor and recipient countries. For the indicator per inhabitant in DAC countries, only aid received from EU15 countries is included. DAC countries refer to developing countries and territories on Part I of the OECD DAC List of Aid Recipients for which there is a long-standing United Nations target of 0.7% of donors' gross national product. Unit of measure is EUR per inhabitant.

Official development assistance (ODA) is defined here as net bilateral and imputed multilateral disbursements at market prices for ODA to countries mentioned in the DAC (Development Assistance Committee) list. Unit of measure is Million EUR.

Quantity Reporting: Measure food aid deliveries in metric tons

These tables offer a summary of obligations and disbursements in current and constant dollars by funding agency, funding account, and country from 2001 to the most recent year.

Survey on Monitoring the Paris Declaration. The dataset contains data as reported by donors and national co-ordinators in participating partner countries. The dataset includes all quantitative data collected through the 2006, 2008 and 2011 Surveys.

20.1. Source data

The Investing Across Borders (IAB) indicators assess laws, regulations, and practices that affect foreign direct investment (FDI). The project’s methodology is based on that of the World Bank Group’s Doing Business project. The indicators highlight differences among countries in their regulatory treatment of FDI to identify good practices, facilitate learning opportunities, stimulate reforms, and provide annual cross-country data for research and analysis. The indicators are based on a survey of lawyers, professional service providers (mainly accounting and consulting firms), investment promotion institutions, chambers of commerce, law professors, and other expert respondents in the countries covered. For the IAB 2010 report, more than 2,350 respondents were surveyed in 87 economies (27 per country, on average) between April and December 2009. List of all respondents is available under the local partners.

The World Economic Situation and Prospects 2024 is a report produced by the United Nations Department of Economic and Social Affairs (UN DESA), in partnership with the United Nations Conference on Trade and Development (UNCTAD) and the five United Nations regional commissions: Economic Commission for Africa (UNECA), Economic Commission for Europe (UNECE), Economic Commission for Latin America and the Caribbean (UNECLAC), Economic and Social Commission for Asia and the Pacific (UNESCAP) and Economic and Social Commission for Western Asia (UNESCWA). The United Nations World Tourism Organization (UNWTO) also contributed to the report.

Data cited at: Charities Aid Foundation   CAF World Giving Index 2019: For the 2019 edition, CAF included aggregate data for each country across the 10 years interview was conducted, namely 2009-2018. This data corresponds to the reports issued the year after interviewing took place (i.e. CAF World Giving Index 2010 refers to data collected in 2009). Due to the small variation in countries Gallup interview in each year, CAF has only included countries in this edition for which data was available for at least eight of the last 10 years. This means that this edition is based on 128 countries.   CAF World Giving Index ranking and scores: In order to establish a rounded measure of giving behavior across the world, the CAF World Giving Index relies on a simple averaging of the responses from the three key questions asked in each country. Each country is given a percentage score and countries are ranked on the basis of these scores. For this 10th edition, CAF has averaged the scores across the 10 years to give aggregate numbers.