1. African Centre for Statistics
CEA
Overview of the result of self-assessment survey on practices and challenges on data disaggregation of SDG indicators
Sub-regional workshop on Data disaggregation
Léandre Ngogang
African Centre for Statistics
Lilongwe, Malawi, 27 September 2017

2. Outline Statistical principle and regulatory framework
Data disaggregation and the SDGs
Data disaggregation – General information

3. Statistical principle and regulatory framework

4. Statistical law
A national statistical law regulates the development, production and dissemination of official statistics in the country in all surveyed countries.
The National Statistical Law is obsolete, including in its existence, in two countries
7 countries have revised their statistical law
The national statistical law regulate statistical activities conducted by all producers of official statistics in 9 countries, only NSO’s activities in 3 countries
Enter in force
1914
1963
1964
1967
1969
1972
1985
1998
1999
2002
2005
2011
Revision
2007
2009
2013
2016
2017
2015
•The African Charter on Statistics 2009 (adoption) and 2015 (in force)
Fundamental principles of official statistics in 1994;

5. Statistical law
Specific regulatory frameworks governing statistical activities conducted by other producers of official statistics than the NSO always make an explicit reference to the national statistical law in only 5countries. Often in 5, Seldom in 3 and never in 3
The national statistical law of 12 countries () makes explicit reference to the UN Fundamental Principles of Official statistics
The national statistical law of 10 countries () makes explicit reference to the African Charter on Statistics and/or other regional/national statistics code
of practice

6. Statistical law
In 7 countries, the national statistical law makes specific reference to the disaggregation on data by specific groups or certain characteristics
in only one country , legal frameworks or laws explicitly prohibit disaggregation by specific groups or certain characteristics: Race.
Some statistics law are under revision

7. Data disaggregation and the SDGs
Age, sex, disability status, ethnicity, income, migratory status, Geographic area

8. Data disaggregation by age and sex
In almost all surveyed countries the NSS there are currently official statistics disaggregated by age and sex. The dissemination of such statistics is effective in practically all these countries.
This type of disaggregation is a legal requirement only in 4 countries
There is no legal restriction preventing certain statistics to be disaggregated by age (in one country only)

9. Data disaggregation by age and by sex
Disaggregation by age and sex is generally done with survey and censuses data. It is done also for administrative record as education statistics, health statistics…
Disaggregation by sex and age is a priority area for disaggregation

10. Data disaggregation by disability status
The National Statistical System currently disaggregates official statistics produced by disability status (13 countries)
This is legally required in 4 countries
There is no restriction preventing this disaggregation
Main sources used are household surveys (particularly disability surveys) and censuses

11. Data disaggregation by disability status
The countries planned to disaggregate additional data (13 countries) by adding disability module in existing surveys and census
The main challenges include:
Appropriate sampling technics
Mastery of concepts since some are new

12. Data disaggregation by Race/Ethicity
Production and dissemination of official statistics disaggregated by race/ethnicity is mitigated: 10 countries produced and 9 do not; 7disseminate and 7 do not
Although there is no legal restriction preventing certain statistics from being disaggregated by race/ethnicity, the NSS is not giving priority to this type of disaggregation
Information allowing such disaggregation are not even collected in some countries (long standing accepted practice)

13. Data disaggregation by Income
There are Official Statistics produced and disseminated by the NSS disaggregated by income in 12 countries.
There are legal requirements for certain statistics to be disaggregated by income in two countries
There in no legal restriction preventing certain statistics from being disaggregated by income
Data source generally used is income/expenditure survey

14. Data disaggregation by Income
This type of disaggregation is seen as a priority by the countries
The main challenges in producing such data include:
Surveys without income module where a proxy is needed
reluctance to disclose income by the respondents
Accuracy of income collected

15. Data disaggregation by Migratory status
Disaggregation of official statistics by migratory status is not a common practice in NSS.
Official Statistics produced by the NSS disaggregated by migratory status exist in 9 countries and is and disseminated in 8
Legal requirements for certain statistics to be disaggregated by income exist in two countries
Only half countries see this type of disaggregation as a priority. Consequently, only 4 countries have future plan to disaggregate additional data by migratory status
Data sources used are Censuses and Demographic Surveys

16. Data disaggregation by Geographic area
There are official statistics produced and disseminated by the NSS currently disaggregated by geographic area in almost all the countries surveyed
legal requirement compels NSS to disaggregate certain statistics by geographic area in 5 countries
Main source of data used are censuses, MICS, DHS, Living Standard survey…

17. Data disaggregation by Geographic area
This type of disaggregation is a priority for all the countries
Challenges:
geographic obtained at higher cost for the survey
Sample size limitations
Appropriate skills

18. Other disaggregation categories
The NSS seem focusing on data disaggregation by standard categories. In only 8 (7 resp.) countries there are official statistics produced (disseminated resp.) currently disaggregated by other categories
Not in general a legal requirement
Not a priority area for disaggregation (6 Vs 10)

19. Data disaggregation – General information

20. Data disaggregation – General information
Efforts to ensure consistency across the disaggregated data
cross checking techniques
Trend analysis, comparison with external data
Data validation during workshop with specialist
Demand from users for disaggregated data and information is increasing in all the countries
The countries plan to integrate data from other sources into the NSS for the follow up and review of the 2030 Agenda and the SDGs and to increase the availability of disaggregated data (MoU, capacity building, partnership, training…)

21. NSO’s role in reporting and follow-up and review of the 2063 Agenda and SDGs
Development of Agenda 2063 and the SDGs indicator framework
Monitoring and evaluation of the SDGs
Collect data and report on indicators that address Agenda for policy makers
Preparing of the baseline report
data gathering to determine the gaps and other sources to fill the gaps within the national statistical system and civil society as well as other innovative ways

22. CEA
Thank you!
UNECA.ORG