Indicator: 17.19.1
0.a. Goal
Goal 17: Strengthen the means of implementation and revitalize the Global Partnership for Sustainable Development
0.b. Target
Target 17.19: By 2030, build on existing initiatives to develop measurements of progress on sustainable development that complement gross domestic product, and support statistical capacity-building in developing countries
0.c. Indicator
Indicator 17.19.1: Dollar value of all resources made available to strengthen statistical capacity in developing countries
0.e. Metadata update
2017-07-110.f. Related indicators
17.18.3: Number of countries with a national statistical plan that is fully funded and under implementation, by source of funding
0.g. International organisations(s) responsible for global monitoring
Partnership in Statistics for Development in the 21st Century (PARIS21)
1.a. Organisation
Partnership in Statistics for Development in the 21st Century (PARIS21)
2.a. Definition and concepts
Definition:
The indicator Dollar value of all resources made available to strengthen statistical capacity in developing countries is based on the Partner Report on Support to Statistics (PRESS) that is designed and administered by PARIS21 to provide a snapshot of the US dollar value of ongoing statistical support in developing countries.
3.a. Data sources
To provide a full picture of international support to statistics, the indicator draws on three distinct data sources. The first source of data is the OECD Creditor Reporting System (CRS), which records data from OECD Development Assistance Committee (DAC) members and some non-DAC donors, and provides a comprehensive accounting of ODA. Donors report specific codes for the sector targeted by their aid activity. Statistical capacity building (SCB) is designated by code 16062.
Second, when SCB is a component of a larger project, it is not identified by this code, causing the CRS figures to underestimate actual levels of support for international aid. PARIS21 seeks to reduce this downward bias by searching project descriptions in the CRS for terms indicating a component of SCB. The methodology is presented at http://www.paris21.org/PRESS2015.
Third, and finally, the PARIS21 Secretariat supplements this data with an online questionnaire completed by a global network of reporters. The questionnaire covers a subset of the variables collected in the CRS and some additional variables specific to statistical capacity building. Reporting to the questionnaire is voluntary, offering an opportunity for actors to share information on their statistical activities. Reporters to this questionnaire are countries that do not report to the CRS, as well as multilateral institutions with large portfolios of statistical projects that have requested to report to the PARIS21 Secretariat directly.
List:
OECD Creditor Reporting System (CRS), PARIS21
3.c. Data collection calendar
From Sep-16
3.e. Data providers
PARIS21/OECD
3.f. Data compilers
PARIS21
4.a. Rationale
The indicator aims to provide a snapshot of the US dollar value of ongoing statistical support in developing countries
4.b. Comment and limitations
Measuring support to statistics comes with many methodological challenges. The financial figures presented in the PRESS therefore need to be interpreted with these challenges in mind. For instance, PRESS numbers rely on the Creditor Reporting System (CRS) for ODA commitments supplemented by voluntary reporting from additional donors. Yet, full coverage of all programs cannot be guaranteed. Furthermore, the reported commitments can be seen as an upper bound to the actual support to statistics for mainly three reasons. First, double counting of projects may occur when the donor and project implementer report on the same project or when all project co-financers report project totals. Second, the reported numbers may be inflated by working with project totals for multi-sector projects, which comprise only a small statistics component. Finally, the PRESS reports on donor-side commitments which do not always translate to actual disbursements to the recipient countries.
The indicator only captures international support to statistics and does not account for domestic resources.
4.c. Method of computation
The financial amounts were converted to US dollars by using the period average exchange rate of the commitment year of the project/program. In cases where the disbursement amounts were reported, the exchange rate used was the period average of the disbursement year.
4.f. Treatment of missing values (i) at country level and (ii) at regional level
• At country level
• At regional and global levels
4.g. Regional aggregations
Regional-level aggregates are based on the sum of national commitments, sub-regional and regional commitments.
4.h. Methods and guidance available to countries for the compilation of the data at the national level
2016 Partner Report on Support to Statistics (PRESS) published by PARIS21 (www.paris21.org/press) based on data from Creditor Reporting System (https://stats.oecd.org/Index.aspx?DataSetCode=CRS1) and PARIS21 PRESS online survey.
4.j. Quality assurance
Inviting donors to check and validate information available online (www.paris21.org/press).
5. Data availability and disaggregation
Data availability:
The current time series for 2006-2013 covers 132 developing countries.
Time series:
From 2006 to 2013
Disaggregation:
The commitment amount can be disaggregated by geographical area, ODA sectors, area of statistics and method of financing (grant vs loan).
6. Comparability/deviation from international standards
Sources of discrepancies:
7. References and Documentation
URL:
References:
OECD (2007). Reporting Directives for the Creditor Reporting System. available at http://www.oecd.org/dac/stats/1948102.pdf
PARIS21 (2015). Partner Report on Support to Statistics. Available at http://www.paris21.org/PRESS