1. Expert Group Meeting on SDG Economic Indicators in Africa 14-16 November 2017, Addis Ababa, Ethiopia
Analysis of the deprivation level of the Mozambican population using the 2011 Demographic Health Survey Data
Carlos Creva Singano

2. Outline of Presentation
Introduction/Context
Indicators, Unity of Analyse and Sources
Methodology/Aproach
Dificults, Chalenges and recomendations

3. Introduction/Context
INE-Mozambique was created in 1996;
Before this period was the National Directorate of Statistics;
From 1996 to 2017, Statistics of Mozambique carried out the following statistical operations:
Demographic and Health Survey
- 2000, Core Welfare Indicators Questionnaire, hh Survey, cwiq;
Survey on Sexual Behavior of Youth and Adolescents years;
/03; 2008/9; 2014/15- Income and Expenditure Survey
, 2008, 2011 Demographic and Health Survey
, 2005 –Survey on HIV/AIDS Prevalence

4. Introduction/Context (Cont)
- 2008, 2016 Malaria Prevalence Survey;
- 2008; 2013 Labor Force Survey
MICS Multi Cluster Survey Indicators
- 2017/18 TB Survey
- Others Survey requested by Government of Mozambique
With the exception of 1996 DHS, all others Survey are Representative for each 11 province, National, National Urban and Rural.
INE/National Statistic Office did conduct the following Census :
- 1997, 2007; 2017 Census of Housing and Population;
, Agricultural Census
; 2008; 2016 Census of Enterprises/companies

5. Indicators, Unity of Analyse and Sources
7.1.1 Proportion of population with access to electricity (Source, 2011 Demographic and Health Surveys DHS);
7.1.2 Proportion of population with primary reliance on clean fuels and technology (Source, Demographic and Health Surveys –2011 DHS)
8.6.1 Proportion of youth (aged years) not in education, employment or training (Source, Demographic and Health Surveys –2011 DHS));

6. Indicators, Unity of Analyse and Sources
8.5.2 Unemployment rate, by sex, age and persons with disabilities (2013 Labor Force Survey, 2013 LFS)
-UA: People in age of labor (7 Y and old)
8.7.1 Proportion and number of children aged 5-17 years engaged in child labor, by sex that you are going to (2013 Labor Force Survey, 2013 LFS).
-UA: People in age 5-17 Years

7. Indicators, Unity of Analyse and Sources
These indicators have been calculated, and sources (data bases) are available;
The indicators were disaggregated by the main domains of analysis: 11 provinces, National, National Rural and National Urban;
They were also disaggregated by sex and specific age groups;
The quality measures (CV, confidence intervals and Deffs) associated with the estimates were calculated.
The indicators (National Urban); (National Rural) were not publicated because their CVs were above 34%;

8. Indicators, Unity of Analyse and Sources
Data and estimates of same Survey are comparable over time (use same conceps and definition, same statistical population and estimators);

9. Indicators, Unity of Analyse and Sources
In 2010 the Ministry of Finance and INE/ National Statistic Office use the CENSUS data 2007 to computer MPI –Mozambican, using Alkire Foster Methodology;
Some of Indicators calculated (like 7.1.1;7.1.2) are included in SDG;

10. Methodology/Aproach Literature review on aspects of prevention;
Consult national (Ministries, academics, research institutions, etc) and international users (World Bank, International Monetary Fund, Embassies, other donors) on the data;
Use international Definition (ILO, UNECA, WHO);
Use of statistical procedures / Estimators/formulas
Econometric modeling;
Use of the Alkire Foster methodology in indicators based on 2011 DHS data;

11. Dificults, Chalenges and recomendations
In many cases, when surveys are drawn outside the National Statistical Office, are there no field supervision and Sampling Errors are not calculated;
Few statisticians with in-depth knowledge of statistical procedures;
Financing to increase sample coverage / representativeness
Demographers with little experience in calculating indicators;
Need for training in advanced statistical techniques;
Need for training on design of indicators and USE of software like STATA, R (and other recommended by ECA/SDG)

12. Thank you for your attention.
Tatenda
Kanimambo