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Tanzania Socio-Economic Database

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Tanzania Socio-Economic Database Tanzania Socio-Economic Database Elide S Mwanri National Bureau of Statistics TANZANIA 1 Presentation • About TSED • How we can make use of Indicators • Examples of some MKUKUTA/MDGs indicators • Challenges and Next steps • Discussions 2 What is TSED? • It is an indicator and database administrator system that: – Facilitates systematization, storage and analysis of performance indicators – Contain tools for the generation of tables, graphs, reports and maps – Allows grouping of indicators in different frameworks – Currently has over 500 indicators from recognized sources • It has incrementally developed in the last few years with organizational, technical and financial support by the UN system and government • Institutionally set within the National Bureau of Statistics (NBS) supported by 21 institutions, ministries and departments. Maintenance and updating is done at NBS • Linkages with the private sector and non government research institutions for training and capacity building. • Currently has over 500 indicators from recognized sources • TSED is currently running on stand-alone and on web (www.tsed.org). Tanzania one of the two countries piloting the web version. Based on DevInfo technology. 3 Why a common database? Data not easily accessible: - disperse in various institutions - restricted use within Ministries and Institutions - format not easy to access, read and process - no proper documentation (definitions/metadata) 4 Objectives Make data more accessible – managing the growing amount of information and enhancing availability and timely dissemination of socio-economic data in order to support policy analysis and decision making – Provide users with a comprehensive set of indicators that help Govt., donors and other interested people to analyze the situation in Tanzania Enhance statistical capacity and literacy – improve knowledge relevant to policy design /evaluation. Two focal points in more than 20 TSED collaborating Ministries and Institutions continuously being trained on how to use and update the database. - Through TSED, Thematic seminars have been introduced whose aim is to enhance capacity of policy makers, planners, and researchers to make the best use of available data for policy analysis. Support evidence-based advocacy – as a database, TSED allows public advocates to monitor progress of international, regional and national goals and commitments. 5 Who are the target users of TSED? 1. Increasing use for policy design and implementation – Government officials / Parliamentarians – Local Government planners and policy makers – Staff involved in day-to-day policy making and planning – NGOs – Donors 2. Stimulating public monitoring of policy – Poverty Eradication Division (PED) – National Bureau of Statistics – Universities and research centers 3. Improving social communication – Media 6 4 Where is data from? Census Population census once every decade Surveys Periodic household surveys on various topics Records Research Administrative records Special research from various government conducted in various departments areas •Data from various sources available in TSED is disaggregated by gender, rural/urban strata and age groups •Data available at national, regional, district [village level data for 7 pop counts] Role of TSED in Poverty Monitoring TSED is at the very heart of the poverty monitoring systems: storage and dissemination of all quantitative information generated by the poverty monitoring systems •TSED contains a ‘theme’ highlighting the Poverty Monitoring indicators •The Millennium Development Goals (MDGs) are contained in TSED as a ‘goal’ •Highlighting status on certain groups of indicators (PRSP medium term, MDGs long term) and thus assist the government to report on its commitments 8 Role of TSED in Poverty Monitoring (Cont’d…) DevInfo (software that has designed TSED), has been selected at the global level to assist in the monitoring and reporting of MDG in virtually all the countries 9 How TSED data can be used • To highlight priorities using empirical data • To inform the public and policy makers on progress on Poverty reduction indicators and MDGs • To trigger action to meet time-bound targets • To contribute towards the design of policies based on evidence • To create public interest in progress at home and abroad 10 TSED Database Indicators by Themes 11 TSED Database Indicators by Goals, e.g. MDGs 12 TSED Database Indicators by Sector, e.g. Health 13 Indicators will tell us…. • Where we are today • How far away from the target are we • What progress is being made 14 Where are we today? The value of an indicator tells us what the current level is: Example: Primary School NER = 97.3 [2007] In 2006, the value of the indicator was 96.1 % How can this snapshot be used? Nationally – Gives us a picture of the current status – Tells us the magnitude of the problem – Provides hard evidence to motivate policy makers – Quantifies the interventions need 15 What progress is being made? Where indicators are available for two or more time points, we have a much stronger picture Primary School Net Enrollment - Trend for 1995 - 2007 100 90 80 Female 70 Male Total Percent NER Percent 60 50 40 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 16 Years What extra information does this give us? •Shows where change is happening, and in which direction •Tells us how big the change has been •Allows us to decide whether the intervention is having the predicted effect •Direction •Magnitude •Allows us to estimate trend 17 MDG 2, Target 3 MKUKUTA (Improvement of Cluster 2 Quality of life & Facts…. Social wellbeing) Using TSED to track progress towards PRSP/MDG targets MKUKUTA–National Strategy for Economic – Example : Primary NER Growth and Reduction of Poverty (NSGRP) – Identify districts that need to improve enrolment to meet PRSP target Primary School Net Enrollment - Trend for 1995The dream - 2007 of universal and complete 100 primary education may soon be a reality. 97 per cent of girls and boys are now able to access primary schooling. 90 80 Female 70 Male Total Percent NER Percent 60 50 Facts. You decide. 0977/ SHEHZAD 0977/ SHEHZAD NOORANI - Source: BES 2007 40 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 18 Years Photo: UNICEF/HQ95 Photo: Source: The Millennium Development Goals Report 2005 MDG 2, Target 3 MKUKUTA (Improvement of Quality of life & Cluster 2 Primary NER Social wellbeing) However, a few regions were at risk of YEAR 2002 not meeting the MKUKUTA Target of Facts…. 99% in year 2010 Mara 79 Kagera 80 Mwanza 92 Arusha 81 Shinyanga 77 Kilimanjaro 81 Manyara 77 Kigoma 69 Northern Pemba Tanga 88 Tabora 65 Southern Pemba Singida 81 Dodoma 71 Northern Region WesternSouthern Region Region Dar-es-Salaam 89 Rukwa 76 Pwani 86 Morogoro 78 Mbeya 97 Iringa 89 Lindi 79 Per cent Facts. You decide. 0977/ SHEHZAD 0977/ SHEHZAD NOORANI - 54 - 70 71 - 80 Ruvuma 88 Mtwara 87 81 - 96 19 Missing Data Photo: UNICEF/HQ95 Photo: Source: The Millennium Development Goals Report 2005 MDG 2, Target 3 MKUKUTA (Improvement of Quality of life & Cluster 2 Primary NER Social wellbeing) YEAR 2002 Quite a number of Districts were also at Facts…. risk of not meeting the MKUKUTA Target of 99% in year 2010. Per cent Facts. You decide. 0977/ SHEHZAD 0977/ SHEHZAD NOORANI - 54 - 70 71 - 80 81 - 96 20 Missing Data Photo: UNICEF/HQ95 Photo: Source: The Millennium Development Goals Report 2005 MDG 2, Target 3 Primary School NER YEAR 2003 Facts….. YEAR 2007 Mara Mara Kagera 78.9 80.1 Kagera 99.8 98 Mw anza Mw anza 92.1 Arusha 99.3 Arusha 80.7 Shinyanga Shinyanga 99.2 76.6 Kilimanjaro 96.2 Kilimanjaro 80.9 99.8 Manyara Manyara Kigoma 77.3 Kigoma 97.6 68.7 Tanga 96 Tabora Tabora Tanga 88.3 65.3 86.2 97.8 Singida Singida Dodoma Dodoma 80.6 97.5 71.1 96.1 Dar-es-Salaam Dar-es-Salaam Rukw a Rukw a 98.8 75.9 89.4 95.9 Pwani Pwani 86.2 Morogoro Morogoro 96 Mbeya 77.5 Mbeya 98 Iringa 97.3 Iringa 98.9 88.6 99.2 Lindi Lindi 78.7 96.6 Ruvuma Ruvuma Mtw ara Mtw ara 98.9 88.1 87.3 97.3 21 MKUKUTA (Improvement of Quality of life & Facts…. Cluster 2 Social wellbeing) MKUKUTA Target for Secondary NER is 50% in year 2010 2006 Secondary NER were: 12.4 (Male), 14.3 (Female) and 13.4 (Total) Secondary School Enrolment (Form 1 - 4) 50 45 40 35 30 25 Per Cent Per 20 15 10 5 0 2002 2003 2004 2005 2006 Years 22 MKUKUTA (Improvement of MDG 5 Quality of life & Facts…. Cluster 2 Social wellbeing) Proportion of births attended by skilled health personnel Many women die each year in pregnancy and childbirth. MKUKUTA target is to increase births attended by skilled health workers to 80% Great disparities within Regions: Mara 31%, and Dar is 90.6% DHS 2004/05 23 MKUKUTA (Improvement of Monitoring MDG 5 Quality of life & Cluster 2 Social wellbeing) Proportion of Births attended by skilled health personnel 100 90 MDG target 80 70 60 50 44.3 46.3 38.4 35.8 Percent 40 30 20 10 0 1991-92 1996 1999 2004-05 Year 24 Source: DHS 2004-05 MDG 4, Target 5 MKUKUTA (Improvement of Quality of life & Facts…. Cluster 2 Social wellbeing) MKUKUTA Target is to reduce IMR to 50 Infant Mortality Rate – Regions and Deaths per 1,000 live births from 95 Districts deaths (2002) Lake Ikimba Lake Victoria Mara Kagera Lake Burigi Mwanza Lake Natron Arusha Shinyanga LakeLake Eyasi Manyara Kilimanjaro Lake Kitangiri Manyara Kigoma Kaskazini Pemba Tabora Tanga Kusini Pemba Singida Dodoma Kaskazini Unguja MjiniKusini Magharibi Unguja Lake Tanganyika Dar-es-Salaam Rukwa Pwani Morogoro Lake Rukwa Mbeya Iringa Lindi Lake Nyasa 41 - 60 Facts. You decide. 0977/ SHEHZAD 0977/ SHEHZAD NOORANI Ruvuma - Mtwara 61 - 100 101 - 129 25 Census 2002 Missing Data Photo: UNICEF/HQ95 Photo: Source: The Millennium Development Goals Report 2005 MDG 4, Target 5 MKUKUTA (Improvement of Quality of life & Cluster 2 Social wellbeing) Graph showing MKUKUTA Target – Trend for three census periods Infant and Under-5 Mortality rates 250 231 200 191 150 153 137 115 Births 100 95 79 50 50 0 No.
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