In advance of the Millennium Summit convened in September 2000, the Secretary-General presented his report "We the peoples: The role of the United Nations in the twenty-first century" (A/54/2000) in which he identified challenges facing the international community and put forward an action plan for addressing them. The resulting eight Millennium Development Goals (MDGs) – which range from halving extreme poverty rates to halting the spread of HIV/AIDS and providing universal primary education, all by the target date of 2015 – form a blueprint agreed to by 189 of the world’s countries and all the world’s leading development institutions. They have galvanized unprecedented efforts to meet the needs of the world’s poorest. The statistics presented here measure progress toward meeting these goals and are the product of the work of the Inter-agency and Expert Group (IAEG) on MDG Indicators, coordinated by the UN Statistics Division.
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In Data Planet Statistical Datasets, the many metrics tracking progress among the world's nations in meeting the UN Millennium Development Goals can be viewed as stand-alone trends, charts, or maps. For example, the chart below shows progress in eliminating gender disparity in Bolivia, as measured by the trend in the number of seats held by women in the national parliament.
Create a comparison of trends across nations as in the chart below, which graphs the maternal mortality ratio for three South American nations.
Try it yourself with other indicators, such as maternal mortality rates, external debt ratios, and more. To select multiple indicators hold down the control (Ctrl) key when clicking on the second (or third) item of interest in the Indicator tree.
Keep in mind that the graphs you create do not necessarily imply causality: the results may suggest a potential relationship between the variables you select, which may be an interesting line of inquiry for your own research. For more information on using Data Planet Statistical Datasets, see https://data-planet.libguides.com/statisticaldatasets .