OECD DAC data collection on funding for the UN system Julia Benn Development Co-operation Directorate, OECD January 2011 Geneva

Organisation of Presentation 1.Overview of DAC statistics and DAC statistical data collection methods 2.Overview of DAC sector codes 3.Data pertaining to funding for and outflows from the UN system 2

Part One Overview of DAC statistics and DAC statistical data collection methods 3

What is the DAC? Development Assistance Committee (DAC) of the OECD. 23 Bilateral Donors, plus European Union. Objective: improve development assistance through coordination and collaboration with major stakeholders. Collect and synthesize data on aid and foreign assistance and disseminate the data to the public. 4

DAC Statistics Measure resource flows for development purposes (not only aid) from: - DAC members - Multilateral agencies - Non-DAC donors DAC statistics are the only source of reliable, complete and comparable aid data.

Strength of DAC Statistics Provides a Global Picture of aid Promotes Transparency Promotes Accountability Ensures Comparability Enhances Donor Coordination 6

Current DAC Members AustraliaFranceKoreaSpain AustriaGermanyLuxembourgSweden BelgiumGreeceNetherlandsSwitzerland CanadaIrelandNew ZealandUnited Kingdom DenmarkItalyNorwayUnited States FinlandJapanPortugalEuropean Union (Multilateral) 7

Current Non-DAC Reporters Bolded countries are the non-DAC OECD Members * Only textual information reported, no data Chinese TaipeiKuwaitRomania CyprusMaltaSaudi Arabia Czech RepublicMexico*Slovak Republic EstoniaLatviaSlovenia HungaryLiechtensteinThailand IcelandLithuaniaTurkey IsraelPolandUnited Arab Emirates 8

Current UN Reporters Other multilateral reporters include the World Bank, the regional development banks, IMF, GEF. IFAD UNFPA UNTA UNAIDSUNHCRWFP UNDPUNICEFWHO UNECEUNRWA IAEA 9

Data collection methods Official and private flows from donor countries to developing countries Annual DAC aggregate figures Creditor Reporting System (CRS) on aid activities CRS++ methodology Data collection is based on instructions that are approved by DAC members and reporting is done by the donors to the DAC Secretariat.

Creditor Reporting System Reporting on annual obligations and disbursements at the activity-level. 30+ variables including; Recipient Country (in analyses often grouped by continent or income) Donor (in analyses often grouped into bilateral and multilateral) Sector and Sub-Sector Codes Activity/Project Titles and Descriptions Flows: ODA, OOF Channels of Delivery Policy Markers (gender equality, environment, PD/GG) RIO Markers (biodiversity, climate change, desertification) Types of finance: Grants, Loans, Equities From 2010 flows onwards: types of aid 11

Overview of the DACs Sector Classification 12

Part 2 Overview of DAC Sector Codes 13

History of CRS Purpose Codes Origin: International Standard Industrial Classification (ISIC) Overtime, the DAC starting adding new codes 1996 Complete Revision with participation from the UN (UNICEF & UNDP) Specifically developed for the reporting on aid flows. Regularly updated to reflect evolving aid policies and programs. 14

Structure of the Purpose Codes In the CRS, data on the sector of aid are recorded using 5-digit purpose codes. There are 196 unique five-digit purpose codes. Each CRS purpose code belongs to one and only one sector. The last two digits of the CRS purpose code are sequential and not hierarchical; Each CRS code stand for itself The sum of all codes equals 100% Enables cross-sector groupings 15

Assigning Purpose Codes Purpose codes are assigned according to the specific area of a recipients economic or social structure that the transfer is intended to foster. Purpose codes do NOT refer to the type of goods or services provided by the donor. Each activity reported is assigned one and only one purpose code (use of multiple purpose codes has been previously discussed). Bilateral donors internal systems are configured with the DACs sector classification. 16

Mapping to CRS Purpose Codes Several mapping schemes exist If a purpose code is too general, reporting agencies could create an additional level of breakdown for their internal purpose and roll-up to the more aggregate level for reporting to the DAC. Example: WHO Health 17

Part 3 Data pertaining to funding for and outflows from the UN System 18

Inflows, outflows and reflows of the multilateral system 19

Time series on multilateral Inflows 20

Total use of the Multilateral System Gross ODA Disbursements in

Core vs. Non-Core Multilateral Funding 22 Total use of the multilateral system