With eleven years left to achieve the ambitious goals of the 2030 Agenda, how close are OECD countries to reaching the SDGs? And how is our understanding constrained by targets and indicators that still cannot be measured? The OECD Measuring Distance to the
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SDG Targets Study aims to help member countries assess where they stand now and to identify the areas where additional effort is required in order to achieve the goals. It also sets out the statistical agenda – showing how much we do not yet know, and how this might impact both the achievement of the SDGs, and decisions about what to prioritise across this vast agenda. The methodology underlying the Study also provides a way for OECD countries to understand their SDG achievements and challenges in a comparative context.
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This report shows that increased domestic revenues can and will cover only part of the necessary SDG budget spending of the LIDCs. Achieving the SDGs in the LIDCs will also require increases of both Official Development Assistance (ODA) and Private
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Development Assistance (PDA) to reach aggregate levels of SDG-directed development aid on the order of US$300-400 billion USD per year
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The Sustainable Development Goals (SDGs) call for major societal transformations that will require significant fiscal outlays as well as private investments. The fiscal outlays cover public investments, the public provision of social services, and social protection for vulnerable populations. The ke
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y message of this paper, building on recent reports by the IMF and SDSN (IMF, 2019b; SDSN, 2018) is that the governments of Low-Income Developing Countries (LIDCs) will require a substantial increase in fiscal (budget) revenues, far beyond what they can achieve by their own fiscal reforms. For this reason, SDG financing will require substantial international cooperation to enable the LIDCs to finance their SDG fiscal outlays. One important source of increased revenues should be the globally coordinated taxation of ultra-high-net worth assets. Today’s ultra-rich should help to pay for the survival and basic needs of the world’s poorest people.
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The overall objective of the Global Action Plan is to enhance collaboration among 12 global organizations engaged in health, development and humanitarian responses to accelerate country progress on the health-related SDG targets. The Plan presents a
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new approach to strengthening collaboration among and joint action by the organizations, building on an initial joint commitment made in October 2018. The Plan is primarily intended to be strategic but provides some operational detail to guide implementation while also allowing flexibility for adjustment based on regular reviews of progress and learning from experience. Although the purpose of the Global Action Plan is not to provide or seek additional resources, the Plan will enable better use of existing resources as a result of improved collaboration, recognizing that each agency has its own unique mandate and area of expertise.
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Achieving the Sustainable Development Goals (SDGs) will require the international community to mobilize significant additional financing over the next decade. Tracking and analyzing this funding is central to measuring progress and making more informed choices to direct financial flows where they wi
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ll have the greatest impact. This brief highlights AidData’s updated methodology to track financing to the SDGs, providing a baseline of funding for the years immediately before and after their launch. To track SDG-related financing, we build on our 2017 pilot methodology. Using data from the OECD CRS database on all official development assistance between 2010 and 2016, we identify individual projects that are linked to specific SDG goals or targets and then quantify total financing by SDG. This brief highlights four countries that represent different development contexts and trajectories, exploring how a country’s individual context impacts its SDG-related donor funding by examining the composition of funding and financing trends. We also look at SDG financing from the perspective of donors to see how their own interests are reflected in development portfolios across different countries.
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The world is off track to make significant progress towards universal health coverage (UHC) (SDG target 3.8) by 2030 as improvements to health services coverage have stagnated since 2015, and the proportion of the population that faced catastrophic
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levels of out-of-pocket (OOP) health spending has increased.
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Unfortunately, current data available on SDG financing are not sufficient to quantify the distribution of financing for the SDGs.
AidData’s methodology for measuring financing to the SDGs attempts to fill this gap by analyzing development project
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documentation to estimate project-level contributions to the SDGs (and their associated targets). This methodology lets us see where development financing is targeted, allowing comparisons among SDG goals and individual SDG targets.
This methodology note describes two iterations of AidData’s methodology. The first, based on a crosswalk with existing aid reporting schemes, was employed for AidData’s 2017 flagship report Realizing Agenda 2030: Will donor dollars and country priorities align with global goals? and our brief Financing the SDGs in Colombia. The second iteration of the methodology employs a direct coding scheme, linking development projects directly to the SDGs through analysis and coding of project descriptions rather than through an intermediary classification system. This method was employed for our 2019 brief Financing the SDGs: Evidence in Four Countries.
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It is of utmost importance to low-income countries and some lower-middle income nations in the time of the SDG period that they are not on course to accomplish the health-related SDG 3 and its targe
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ts until 2030. If we honestly intend to support this goal and realize it for the people living in the regions that are facing the lowest survival chances, we also need to recognize that these countries are far from being in a position to raise the necessary resources solely with their own means.
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Tracking progress on food and agriculture-related SDG indicators 2021 -
Food and Agriculture Organization of the United Nations
Welcome to the SDG Academy!
The SDG Academy creates and curates free, graduate-level courses on sustainable development for students around the world.
From sustainable cities to human rights t
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o climate action, each of our courses addresses the fundamental challenge facing our world today: How do people, communities, governments and companies not only coexist, but also cooperate and collaborate, to save the one planet we have?
As a massive open online education platform, SDG Academy's courses are fully interactive, so you can meet, debate and learn from both our global faculty of sustainable development experts and your fellow students.
Learn more here about the SDG Academy – an initiative of the Sustainable Development Solutions Network – and the SDG Academy student experience.
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Governments have dedicated a pivotal role to the private sector in the implementation and financing of the 2030 Agenda and the SDGs. This has pushed a turn towards the private sector, the promotion of multi-stakeholder partnerships between public and private actors. However, far too often there is a
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considerable gap between the social and environmental commitments companies make publicly in political fora like the UN and the actual effects of their production patterns and investment strategies on people and the environment. A new working paper, published by Brot für die Welt, Global Policy Forum and MISEREOR provides an overview of the ways and means by which the UN involves business actors in the debates around the implementation of the 2030 Agenda. It describes new initiatives and alliances of business actors around SDG implementation at the international level, and their main messages and policy proposals. With a few selected examples it contrasts the sustainability rhetoric of corporations with their business reality. And finally, the working paper draws conclusions and formulates recommendations for policymakers on how to increase the benefits of UN-business interactions in implementing the 2030 Agenda - and how to reduce associated risks and negative side effects.
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Joint data assessment by the Central Statistical Organization and UNDP
The report shows that the National Statistical System of Myanmar has some work ahead of it in terms of preparing for the monitoring of the SDG indicators. Only 44 of the
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SDG indicators are currently produced and readily available at the national level. However, the good news is that many (97) of the missing indicators can be computed from existing data sources – often with little effort - and don’t require any additional data collection. The report concludes that Myanmar is in a decent position to start monitoring the SDGs, and should start as soon as possible in putting its existing data to full use for the SDGs.
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Special Focus on COVID-19
The report provides updated estimates for drinking water, sanitation and hygiene in schools including progress from 2015 to 2019. It highlights the rapid improvement needed to ensure students have access to handwashing facilities with soap and water during the COVID-19 pan
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demic, and to meet associated SDG targets by 2030.
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The Joint Monitoring Programme (JMP) report – Progress on household drinking water, sanitation and hygiene 2000 - 2020 – presents estimates on household access to safely managed drinking water, sanitation and hygiene services over the past five years, and assesses progress toward achieving the s
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ixth sustainable development goal (SDG) to ‘Ensure availability and sustainable management of water and sanitation for all by 2030’.
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Joint data assessment by the Central Statistical Organization and UNDP
The report shows that the National Statistical System of Myanmar has some work ahead of it in terms of preparing for the monitoring of the SDG indicators. Only 44 of the
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SDG indicators are currently produced and readily available at the national level. However, the good news is that many (97) of the missing indicators can be computed from existing data sources – often with little effort - and don’t require any additional data collection. The report concludes that Myanmar is in a decent position to start monitoring the SDGs, and should start as soon as possible in putting its existing data to full use for the SDGs
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Der Globale Aktionsplan für ein gesundes Leben und das Wohlergehen aller Menschen und der Prozess zur Neuformulierung der Strategie der Bundesregierung zu Globaler Gesundheit
At the threshold of Sustainable Development Goals (SDG) era, this document captures the remarkable achievements by Member States towards achieving MDGs 4 and 5. It acknowledges new opportunities in the post-2015 phase shaped by the SDGs and the Glo
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bal Strategy for women’s, children’s and adolescents’ health and presents an advanced state of preparedness in the Region. This also highlights the region’s renewed commitment for a more inclusive and more dynamic flagship action for ending preventable maternal, newborn and child mortality as well as to improve women’s, children’s and adolescents’ health and wellbeing in the South-East Asia Region.
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Every day in 2020, approximately 800 women died from preventable causes related to pregnancy and childbirth - meaning that a woman dies around every two minutes.
Sustainable Development Goal (SDG) target 3.1 is to reduce maternal mortality to less
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than 70 maternal deaths per 100 000 live births by 2030.
The United Nations Maternal Mortality Estimation Inter-Agency Group (MMEIG) – comprising WHO, the United Nations Children’s Fund (UNICEF), the United Nations Population Fund (UNFPA), the World Bank Group and the United Nations Department of Economic and Social Affairs, Population Division (UNDESA/Population Division) has collaborated with external technical experts on a new round of estimates covering 2000 to 2020. The estimates represent the most up to date, internationally-comparable MMEIG estimates of maternal mortality, using refined input data and methods from previous rounds.
The report presents internationally comparable global, regional and country-level estimates and trends for maternal mortality between 2000 and 2020.
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