This layer shows the overall 2016 Environmental Democracy Index for 70 countries around the world. The map also shows the total population of each country for reference.The Environmental Democracy Index is an average of three overall pillars: transparency, participation, and justice. These pillars are made up of 23 guidelines adopted by the United Nations Environment Programme (UNEP), which are arithmetic averages of 75 legal indicators. As described on the Background and Methodology page, the Environmental Democracy Index rides on the following:"Environmental democracy is rooted in the idea that meaningful public participation is critical to ensure that land and natural resource decisions adequately and equitably address citizens’ interests. At its core, environmental democracy involves three mutually reinforcing rights:the right to freely access information on environmental quality and problemsthe right to participate meaningfully in decision-makingthe right to seek enforcement of environmental laws or compensation for harm.Protecting these rights, especially for the most marginalized and vulnerable, is the first step to promoting equity and fairness in sustainable development. Without essential rights, information exchange between governments and the public is stifled and decisions that harm communities and the environment cannot be challenged or remedied. Establishing a strong legal foundation is the starting point for recognizing, protecting and enforcing environmental democracy. "The population estimate comes from the Esri 2016 World Population Estimate.

Environmental Democracy Index (EDI) consists of 75 legal indicators developed under 23 of the UNEP Bali Guidelines that are concerned with the development and implementation of legislation. In addition to the legal indicators, EDI includes 24 supplemental indicators that assess whether there is evidence that environmental democracy is being implemented in practice. The EDI legal indicators assess laws, constitutions, regulations and other legally binding, enforceable rules at the national level. Quality/Lineage: The data is downloaded from the above link http://environmentaldemocracyindex.org/rank-countries#all and manipulated only table format keeping the value same for all the countries as the requirement of the Strive database. The map is created based on the values of the country using rworldmap package in R.

The population of the world, allocated to 1 arcsecond blocks. This refines CIESIN’s Gridded Population of the World project, using machine learning models on high-resolution worldwide Digital Globe satellite imagery. More information.

There is also a tiled version of this dataset that may be easier to use if you are interested in many countries.

This is a PDF format map of the country, as released by the United Nations.

This is a PDF format map of the country, as released by the United Nations.

This is a PDF format map of the country, as released by the United Nations.

Data collected and prepared from the Democratic Republic of Congo Power–Mining Map, for a WBG open knowledge repository book The Power of the Mine A Transformative Opportunity for Sub-Saharan Africa. Citation: “Banerjee, Sudeshna Ghosh; Romo, Zayra; McMahon, Gary; Toledano, Perrine; Robinson, Peter; Pérez Arroyo, Inés. 2015. The Power of the Mine : A Transformative Opportunity for Sub-Saharan Africa. Directions in DevelopmentEnergy and Mining;. Washington, DC: World Bank. © World Bank. https://openknowledge.worldbank.org/handle/10986/21402 License: CC BY 3.0 IGO.” This data is based on a digitized PDF map, and so is intended as a schematic of rough locations of the power network. It is not suitable for applications requiring high accuracy.

WorldPop produces different types of gridded population count datasets, depending on the methods used and end application. An overview of the data can be found in Tatem et al, and a description of the modelling methods used found in Stevens et al. The 'Global per country 2000-2020' datasets represent the outputs from a project focused on construction of consistent 100m resolution population count datasets for all countries of the World for each year 2000-2020. These efforts necessarily involved some shortcuts for consistency. The 'individual countries' datasets represent older efforts to map populations for each country separately, using a set of tailored geospatial inputs and differing methods and time periods. The 'whole continent' datasets are mosaics of the individual countries datasets

WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton; Department of Geography and Geosciences, University of Louisville; Departement de Geographie, Universite de Namur) and Center for International Earth Science Information Network (CIESIN), Columbia University (2018). Global High Resolution Population Denominators Project - Funded by The Bill and Melinda Gates Foundation (OPP1134076). https://dx.doi.org/10.5258/SOTON/WP00645

This map highlights 8962 stations with monthly discharge data, including data derived daily up to 20 December 2013. The GRDB (Global Runoff DataBase) is built on an initial dataset collected in the early 1980s from the responses to WMO (World Meteorological Organization request to its member countries to provide a global hydrological data set to complement a specific set of atmospheric data in the framework of the First Global GARP Experiment (FCGE). The initial dataset of monthly river discharge data over a period of several years around 1980 was supplemented with the UNESCO monthly river discharge data collection 1965-85. Today the database comprises discharge data of nearly 9.000 gauging stations from all over the world. Since 1993 the total number of station-years has increased by a factor of around 10.Credits and partnerships:OSU - College of Earth, Ocean and Atmospheric SciencesCarniege Corporation of New YGloabl orkNASCE - Northwest Alliance for Computational Science & EngineeringInternational Water Management InstituteUNESCO - United Nations Educational, Scientific and Cultural OrganisationUSGS - United States Geological Survey

This map highlights 8962 stations with monthly discharge data, including data derived daily up to 20 December 2013. The GRDB (Global Runoff DataBase) is built on an initial dataset collected in the early 1980s from the responses to WMO (World Meteorological Organization request to its member countries to provide a global hydrological data set to complement a specific set of atmospheric data in the framework of the First Global GARP Experiment (FCGE). The initial dataset of monthly river discharge data over a period of several years around 1980 was supplemented with the UNESCO monthly river discharge data collection 1965-85. Today the database comprises discharge data of nearly 9.000 gauging stations from all over the world. Since 1993 the total number of station-years has increased by a factor of around 10.Credits and partnerships:OSU - College of Earth, Ocean and Atmospheric SciencesCarniege Corporation of New YGloabl orkNASCE - Northwest Alliance for Computational Science & EngineeringInternational Water Management InstituteUNESCO - United Nations Educational, Scientific and Cultural OrganisationUSGS - United States Geological Survey

InterAction is an alliance of international NGOs, all working to make the world a more peaceful, just, and prosperous place. NGO Aid Map highlights the work of InterAction Member NGOs around the globe.

Age and sex structures: WorldPop produces different types of gridded population count datasets, depending on the methods used and end application. An overview of the data can be found in Tatem et al, and a description of the modelling methods used found in Tatem et al and Pezzulo et al. The 'Global per country 2000-2020' datasets represent the outputs from a project focused on construction of consistent 100m resolution population count datasets for all countries of the World for each year 2000-2020 structured by male/female and 5-year age classes (plus a <1 year class). These efforts necessarily involved some shortcuts for consistency. The 'individual countries' datasets represent older efforts to map population age and sex counts for each country separately, using a set of tailored geospatial inputs and differing methods and time periods. The 'whole continent' datasets are mosaics of the individual countries datasets. WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton; Department of Geography and Geosciences, University of Louisville; Departement de Geographie, Universite de Namur) and Center for International Earth Science Information Network (CIESIN), Columbia University (2018). Global High Resolution Population Denominators Project - Funded by The Bill and Melinda Gates Foundation (OPP1134076).

Age and sex structures: WorldPop produces different types of gridded population count datasets, depending on the methods used and end application. An overview of the data can be found in Tatem et al, and a description of the modelling methods used found in Tatem et al and Pezzulo et al. The 'Global per country 2000-2020' datasets represent the outputs from a project focused on construction of consistent 100m resolution population count datasets for all countries of the World for each year 2000-2020 structured by male/female and 5-year age classes (plus a <1 year class). These efforts necessarily involved some shortcuts for consistency. The 'individual countries' datasets represent older efforts to map population age and sex counts for each country separately, using a set of tailored geospatial inputs and differing methods and time periods. The 'whole continent' datasets are mosaics of the individual countries datasets. WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton; Department of Geography and Geosciences, University of Louisville; Departement de Geographie, Universite de Namur) and Center for International Earth Science Information Network (CIESIN), Columbia University (2018). Global High Resolution Population Denominators Project - Funded by The Bill and Melinda Gates Foundation (OPP1134076).