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Federación de Rusia

  • Presidente:Vladimir Vladimirovich Putin
  • Chairman of Government:Dmitriy Anatolyevich Medvedev
  • Capital:Moscow
  • Idiomas:Russian (official) 85.7%, Tatar 3.2%, Chechen 1%, other 10.1% note: data represent native language spoken (2010 est.)
  • Gobierno
  • Instituto Nacional de Estadística
  • Población:144.342.396 (2016)
  • Área:16.376.870 (2016)
  • PIB per cápita:8.748 (2016)
  • GDP, billion current US$:1.283,2 (2016)
  • Índice de GINI:41,59 (2012)
  • Ranking de Facilidad para Hacer Negocios:40 (2016)
Todos los conjuntos de datos:  A C D E F G I L M O P Q R S T U W Р
  • A
  • C
    • febrero 2017
      Fuente: World Resources Institute
      Subido por: Knoema
      Acceso el: 26 junio, 2017
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      Data Citation: CAIT Climate Data Explorer. 2017. Washington, DC: World Resources Institute. Available online at: http://cait.wri.org   CAIT data carries a Creative Commons Attribution-NonCommercial 4.0 International license   CAIT Historic allows for easy access, analysis and visualization of the latest available international greenhouse gas emissions data. It includes information for 186 countries, 50 U.S. states, 6 gases, multiple economic sectors, and 160 years - carbon dioxide emissions for 1850-2012 and multi-sector greenhouse gas emission for 1990-2012.
  • D
    • diciembre 2015
      Fuente: Organisation for Economic Co-operation and Development
      Subido por: Knoema
      Acceso el: 24 marzo, 2017
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      The objective of this dataset is to trace net changes in terms of volume in the growing stock of standing wood on forest land. It shows data underlying the indicator on the intensity of use of forest resources. This indicator relates actual fellings to annual productive capacity (i.e. gross increment). Forest depletion and growth describe balances or imbalances in different types of forests. The intensity of use of forest resources reflects various forest management methods and their sustainability. These data should be read in connection with other indicators of the OECD Core Set, in particular with indicators on land use changes and forest quality (species diversity, forest degradation), and be complemented with data on forest management practices and protection measures. In interpreting these data, it should be borne in mind that definitions and estimation methods vary among countries.
  • E
    • diciembre 2017
      Fuente: Food and Agriculture Organization
      Subido por: Knoema
      Acceso el: 05 enero, 2018
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      Greenhouse Gas (GHG) emissions from burning of biomass consist of methane and nitrous oxide gases from biomass combustion of forest land cover classes ‘Humid and Tropical Forest’ and ‘Other Forests’, and of methane, nitrous oxide, and carbon dioxide gases from combustion of organic soils. The FAOSTAT emissions database is computed following Tier 1 IPCC 2006 Guidelines for National GHG Inventories (http://www.ipcc-nggip.iges.or.jp/public/2006gl/vol4.html). GHG emissions are provided by country, with global coverage, relative to the period 1990-present (with annual updates), expressed as Gg CH4, Gg N2O, Gg CO2, Gg CO2eq and Gg CO2eq from both CH4 and N2O, by land cover class (humid tropical forest, other forest, organic soils) and by aggregate (burning - all categories). Implied emission factors for N2O, CH4 and CO2 as well activity data (burned area and biomass burned) are also provided.
    • diciembre 2017
      Fuente: Food and Agriculture Organization
      Subido por: Knoema
      Acceso el: 05 enero, 2018
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      Greenhouse gas (GHG) emissions data from cropland are currently limited to emissions from cropland organic soils. They are those associated with carbon losses from drained histosols under cropland. The FAOSTAT emissions database is computed following Tier 1 IPCC 2006 Guidelines for National GHG Inventories (http://www.ipcc-nggip.iges.or.jp/public/2006gl/vol5.html). GHG emissions are provided by country, region and special groups, with global coverage, relative to the period 1990-present (with annual updates), expressed as net emissions/removal Gg CO2 and Gg CO2eq. Implied emission factor for C, net stock change Gg C and activity data (area) are also provided.
    • febrero 2016
      Fuente: Food and Agriculture Organization
      Subido por: Knoema
      Acceso el: 09 febrero, 2017
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      Annual net CO2 emission/removal from Forest Land consist of net carbon stock gain/loss in the living biomass pool (aboveground and belowground biomass) associated with Forest and Net Forest Conversion. The FAOSTAT emissions database is computed following Tier 1 IPCC 2006 Guidelines for National GHG Inventories (http://www.ipcc-nggip.iges.or.jp/public/2006gl/index.html) and using area and carbon stocks data compiled by countries in the FAO Global Forest Resource Assessments (http://www.fao.org/forestry/fra/en/). GHG emissions are provided by country, regions and special groups, with global coverage, relative to the period 1990-present (with annual updates), expressed as net stock change Gg C, net emissions/removals Gg CO2 and CO2eq, by forest or net forest conversion and by aggregate (forest land). Implied emission factor for CO2 as well as activity data (area, net area difference, total forest area and carbon stock in living biomass) are also given.
    • diciembre 2017
      Fuente: Food and Agriculture Organization
      Subido por: Knoema
      Acceso el: 05 enero, 2018
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      Greenhouse gas (GHG) emissions data from grassland are currently limited to emissions from grassland organic soils. They are those associated with carbon losses from drained histosols under grassland. The FAOSTAT emissions database is computed following Tier 1 IPCC 2006 Guidelines for National GHG Inventories (http://www.ipcc-nggip.iges.or.jp/public/2006gl/vol6.html). GHG emissions are provided by country, region and special groups, with global coverage, relative to the period 1990-present (with annual updates), expressed as net emissions/removal Gg CO2 and Gg CO2eq. Implied emission factor for C, net stock change Gg C and activity data (area) are also provided.
    • diciembre 2017
      Fuente: Food and Agriculture Organization
      Subido por: Knoema
      Acceso el: 05 enero, 2018
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      Land Use Total contains all GHG emissions and removals produced in the different Land Use sub-domains, representing the three IPCC Land Use categories: cropland, forest land, and grassland, collectively called emissions/removals from the Forestry and Other Land Use (FOLU) sector. FOLU emissions consist of CO2 (carbon dioxide), CH4 (methane) and N2O (nitrous oxide) associated with land management activities. CO2 emissions/removals are derived from estimated net carbon stock changes in above and below-ground biomass pools of forest land, including forest land converted to other land uses. CH4 and N2O, and additional CO2 emissions are estimated for fires and drainage of organic soils. The FAOSTAT emissions database is computed following Tier 1 IPCC 2006 Guidelines for National GHG Inventories (http://www.ipcc-nggip.iges.or.jp/public/2006gl/index.html). GHG emissions are provided as by country, regions and special groups, with global coverage, relative to the period 1990-present (with annual updates), expressed as Gg CO2eq from CH4 and N2O, net emissions/removals as GG CO2 and Gg CO2eq, by underlying land use emission sub-domain and by aggregate (land use total).
    • octubre 2017
      Fuente: Organisation for Economic Co-operation and Development
      Subido por: Knoema
      Acceso el: 08 noviembre, 2017
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      This dataset provides selected information on emissions of traditional air pollutants: emission data are based upon the best available engineering estimates for a given period; they concern man-made emissions of sulphur oxides (SOx), nitrogen oxides (NOx), particulate matter, carbon monoxide (CO) and volatile organic compounds (VOC). The share of human activities as a source in total emissions of traditional air pollutants varies depending on the type of pollutant; most SOx emissions are man-made whereas CO and NOx emissions are mainly of natural origin.
    • enero 2018
      Fuente: Environmental Performance Index
      Subido por: Knoema
      Acceso el: 02 febrero, 2018
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      The Environmental Performance Index (EPI) is constructed through the calculation and aggregation of 20 indicators reflecting national-level environmental data. These indicators are combined into nine issue categories, each of which fit under one of two overarching objectives. The two objectives that provide the overarching structure of the EPI are Environmental Health and Ecosystem Vitality. Environmental Health measures the protection of human health from environmental harm. Ecosystem Vitality measures ecosystem protection and resource management. These two objectives are further divided into nine issue categories that span high-priority environmental policy issues, including air quality, forests, fisheries, and climate and energy, among others. The issue categories are extensive but not comprehensive. Underlying the nine issue categories are 20 indicators calculated from country-level data and statistics. After more than 15 years of work on environmental performance measurement and six iterations of the EPI, global data are still lacking on a number of key environmental issues. These include: freshwater quality, toxic chemical exposures, municipal solid waste management, nuclear safety, wetlands loss, agricultural soil quality and degradation, recycling rates, adaptation, vulnerability, and resiliency to climate change, desertification.
    • enero 2016
      Fuente: Environmental Performance Index
      Subido por: Knoema
      Acceso el: 09 marzo, 2016
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    • enero 2017
      Fuente: Organisation for Economic Co-operation and Development
      Subido por: Knoema
      Acceso el: 29 agosto, 2017
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      The OECD Environmental Policy Stringency Index (EPS) is a country-specific and internationally-comparable measure of the stringency of environmental policy. Stringency is defined as the degree to which environmental policies put an explicit or implicit price on polluting or environmentally harmful behaviour. The index ranges from 0 (not stringent) to 6 (highest degree of stringency). The index covers 28 OECD and 6 BRIICS countries for the period 1990-2012. The index is based on the degree of stringency of 14 environmental policy instruments, primarily related to climate and air pollution.
    • julio 2016
      Fuente: Organisation for Economic Co-operation and Development
      Subido por: Knoema
      Acceso el: 29 agosto, 2017
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      EAMFP growth measures the residual growth in the joint production of both the desirable and the undesirable outputs that cannot be explained by changes in the consumption of factor inputs (including labour, produced capital and natural capital). Therefore, for a given growth of input use, EAMFP increases when GDP increases or when pollution decreases. As part of the growth accounting framework underlying the EAMFP indicator, the growth contribution of natural capital and growth adjustment for pollution abatement indicators are derived: Growth contribution of natural capital - measures to what extent a country's growth in output is attributable to natural resource use; Growth adjustment for pollution abatement - measures to what extent a country's GDP growth should be corrected for pollution abatement efforts - adding what has been undervalued due to resources being diverted to pollution abatement, or deducing the ‘excess' growth which is generated at the expense of environmental quality.
    • marzo 2017
      Fuente: Organisation for Economic Co-operation and Development
      Subido por: Knoema
      Acceso el: 14 noviembre, 2017
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      Air pollution is considered one of the most pressing environmental and health issues across OECD countries and beyond. According to the World Health Organisation (WHO), exposure to fine particulate matter (PM2.5) has potentially the most significant adverse effects on health compared to other pollutants. PM2.5 can be inhaled and cause serious health problems including both respiratory and cardiovascular disease, having its most severe effects on children and elderly people. Exposure to PM2.5 has been shown to considerably increase the risk of heart disease and stroke in particular. For these reasons, population exposure to (outdoor or ambient) PM2.5 has been identified as an OECD Green Growth headline indicator. The underlying PM2.5 concentrations estimates are taken from van Donkelaar et al. (2016). They have been derived using satellite observations and a chemical transport model, calibrated to global ground-based measurements using Geographically Weighted Regression at 0.01° resolution. The underlying population data, Gridded Population of the World, version 4 (GPWv4) are taken from the Socioeconomic Data and Applications Center (SEDAC) at the NASA. The underlying boundary geometries are taken from the Global Administrative Unit Layers (GAUL) developed by the FAO, and the OECD Territorial Classification, when available. The current version of the database presents much more variation with respect to the previous one. The reason is that the underlying concentration estimates previously included smoothed multi-year averages and interpolations; while in the current version annual concentration estimates are used. Establishing trends of pollution exposure should be done with care, especially at smaller output areas, as their inputs (e.g. underlying data and models) can change from year to year. We recommend using a 3-year moving average for visualisation.
  • F
    • junio 2016
      Fuente: Organisation for Economic Co-operation and Development
      Subido por: Knoema
      Acceso el: 24 junio, 2016
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      OECD Factbook provides a global overview of today's major economic, social and environmental indicators which cover a wide range of areas: agriculture, economic production, education, energy, environment, foreign aid, health, industry, information and communications, international trade, labor force, population, taxation, public expenditure and R&D. More countries than ever are covered in greater detail, enabling direct comparisons for many indicators between OECD Members and Brazil, China, India, Indonesia, Russian Federation and South Africa.
    • diciembre 2016
      Fuente: Carbon Dioxide Information Analysis Center
      Subido por: Knoema
      Acceso el: 17 mayo, 2017
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      World and National CO2 Emissions from Fossil-Fuel Burning, Cement Manufacture, and Gas Flaring. Source: Tom Boden, Gregg Marland and Bob Andres (Oak Ridge National Laboratory)
  • G
    • octubre 2017
      Fuente: Emission Database for Global Atmospheric Research
      Subido por: Knoema
      Acceso el: 15 noviembre, 2017
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        GHG and CO2 Emissions, 1970 - 2016   Direct greenhouse gases: Carbon Dioxide (CO2), Methane (CH4), Nitrous Oxide (N2O), Hydrofluorocarbons (HFC-23, 32, 125, 134a, 143a, 152a, 227ea, 236fa, 245fa, 365mfc, 43-10-mee), Perfluorocarbons (PFCs: CF4, C2F6, C3F8, c-C4F8, C4F10, C5F12, C6F14, C7F16), Sulfur Hexafluoride (SF6), Nitrogen Trifluoride (NF3) and Sulfuryl Fluoride (SO2F2). Emissions are calculated by individual countries using country-specific information. The countries are organized in different world regions for illustration purposes. Emissions of some small countries are presented together with other countries depending on country definition and availability of activity statistics. Source: European Commission, Joint Research Centre (JRC)/PBL Netherlands Environmental Assessment Agency.
    • octubre 2017
      Fuente: Emission Database for Global Atmospheric Research
      Subido por: Knoema
      Acceso el: 10 enero, 2018
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      Emissions are calculated for the following substances: 1) Direct greenhouse gases: Carbon Dioxide (CO2), Methane (CH4), Nitrous Oxide (N2O), Hydrofluorocarbons (HFC-23, 32, 125, 134a, 143a, 152a, 227ea, 236fa, 245fa, 365mfc, 43-10-mee), Perfluorocarbons (PFCs: CF4, C2F6, C3F8, c-C4F8, C4F10, C5F12, C6F14, C7F16), Sulfur Hexafluoride (SF6), Nitrogen Trifluoride (NF3) and Sulfuryl Fluoride (SO2F2); 2) Ozone precursor gases: Carbon Monoxide (CO), Nitrogen Oxides (NOx), Non-Methane Volatile Organic Compounds (NMVOC) and Methane (CH4). 3) Acidifying gases: Ammonia (NH3), Nitrogen oxides (NOx) and Sulfur Dioxide (SO2). 4) Primary particulates: Fine Particulate Matter (PM10) - Carbonaceous speciation (BC , OC) is under progress. 5) Stratospheric Ozone Depleting Substances: Chlorofluorocarbons (CFC-11, 12, 113, 114, 115), Halons (1211, 1301, 2402), Hydrochlorofluorocarbons (HCFC-22, 124, 141b, 142b), Carbon Tetrachloride (CCl4), Methyl Bromide (CH3Br) and Methyl Chloroform (CH3CCl2). Emissions (EM) for a country C are calculated for each compound x on an annual basis (y) and sector wise (for i sectors, multiplying on the one hand the country-specific activity data (AD), quantifying the human activity for each of the i sectors, with the mix of j technologies (TECH) for each sector i, and with their abatement percentage by one of the k end-of-pipe (EOP) measures for each technology j, and on the other hand the country-specific emission factor (EF) for each sector i and technology j with relative reduction (RED) of the uncontrolled emission by installed abatement measure k. Emissions in are calculated by individual countries using country-specific information. The countries are organized in different world regions for illustration purposes. Emissions of some small countries are presented together with other countries depending on country definition and availability of activity statistics.
    • septiembre 2016
      Fuente: Dual Citizen LLC
      Subido por: Knoema
      Acceso el: 09 diciembre, 2016
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      This 5th edition of the Global Green Economy Index (GGEI) is a data-driven analysis of how 80 countries perform in the global green economy, as well as how expert practitioners rank this performance. Since its launch in 2010, the GGEI has signaled which countries are making progress towards greener economies, and which ones are not. The comparison of national green performance and perceptions of it revealed through the GGEI framework is more important than ever today. This is because while there is far greater public and political focus on climate change and green growth now than when the GGEI was first published, often the commitments and targets communicated by leaders do not match the reality. This report will provide an overview of the newest GGEI results from the 5th edition, as well as more detail on how our research and data can enrich the work of others in this space.
    • junio 2017
      Fuente: Organisation for Economic Co-operation and Development
      Subido por: Knoema
      Acceso el: 26 julio, 2017
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      This dataset contains selected indicators for monitoring progress towards green growth to support policy making and inform the public at large. The indicator bring together the OECD's statistics, indicators and measures of progress. The dataset covers OECD countries as well as BRIICS economies (Brazil, Russian Federation, India, Indonesia, China and South Africa), and selected countries when possible. The indicators are selected according to well specified criteria and embedded in a conceptual framework, which is structured around four groups to capture the main features of green growth: Environmental and resource productivity, to indicate whether economic growth is becoming greener with more efficient use of natural capital and to capture aspects of production which are rarely quantified in economic models and accounting frameworks; The natural asset base, to indicate the risks to growth from a declining natural asset base; Environmental quality of life, to indicate how environmental conditions affect the quality of life and wellbeing of people; Economic opportunities and policy responses, to indicate the effectiveness ofpolicies in delivering green growth and describe the societal responses needed to secure business and employment opportunities.
    • abril 2018
      Fuente: United Nations Framework Convention on Climate Change
      Subido por: Knoema
      Acceso el: 07 mayo, 2018
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      In accordance with Articles 4 and 12 of the Climate Change Convention, and the relevant decisions of the Conference of the Parties, countries that are Parties to the Convention submit national greenhouse gas (GHG) inventories to the Climate Change secretariat. These submissions are made in accordance with the reporting requirements adopted under the Convention, such as The UNFCCC Reporting Guidelines on Annex I Inventories (document FCCC/SBSTA/2004/8) for Annex I Parties and Guidelines for the preparation of national communications for non-Annex I Parites (decision 17/CP.8). The inventory data are provided in the annual GHG inventory submissions by Annex I Parties and in the national communications under the Convention by non-Annex I Parties. The GHG data reported by Parties contain estimates for direct greenhouse gases, such as: CO2 - Carbon dioxide CH4 - Methane N2O - Nitrous oxide PFCs - Perfluorocarbons HFCs - Hydrofluorocarbons SF6 - Sulphur hexafluoride as well as for the indirect greenhouse gases such as SO2, NOx, CO and NMVOC.
    • octubre 2017
      Fuente: Organisation for Economic Co-operation and Development
      Subido por: Knoema
      Acceso el: 12 octubre, 2017
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      This dataset presents trends in man-made emissions of major greenhouse gases and emissions by gas. Data refer to total emissions of CO2 (emissions from energy use and industrial processes, e.g. cement production), CH4 (methane emissions from solid waste, livestock, mining of hard coal and lignite, rice paddies, agriculture and leaks from natural gas pipelines), nitrous oxide (N2O), hydrofluorocarbons (HFCs), perfluorocarbons (PFCs), sulphur hexafluoride (SF6) and nitrogen trifluoride (NF3). Data exclude indirect CO2. For UNCCCC Annex I countries, data follow the IPCC 2006 guideline. Territories' coverage are as those defined in the Kyoto Protocol. When interpreting these data it should be kept in mind that they refer to gross direct emissions excluding emissions or removals from land-use, land-use change and forestry (LULUCF). The GDP used to calculate intensities is expressed in USD at 2010 prices and PPPs.
    • septiembre 2014
      Fuente: United Nations Framework Convention on Climate Change
      Subido por: Knoema
      Acceso el: 10 septiembre, 2014
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      Note 1: The reporting and review requirements for GHG inventories are different for Annex I and non-Annex I Parties. The definition format of data for emissions/removals from the forestry sector is different for Annex I and non-Annex I Parties. Note 2: Base year data in the data interface relate to the base year under the Climate Change Convention (UNFCCC). The base year under the Convention is defined slightly different than the base year under the Kyoto Protocol. An exception is made for European Union (15) whereby the base year under the Kyoto Protocol is displayed.
  • I
    • enero 2010
      Fuente: International Transport Forum
      Subido por: Knoema
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      These tables contain detailed data on Greenhouse Gas (GHG) emissions and carbon dioxide (CO2) emissions from fossil fuel combustion in member countries of the International Transport Forum and member countries of OECD. Data on greenhouse gas emissions (and CO2 emissions in particular) come from national reports to the United Nations Framework Convention on Climate Change (UNFCCC) and from the International Energy Agency (IEA). UNFCCC and IEA emissions data are based on the default methods and emissions factors from the Revised 1996 IPCC (Intergovernmental Panel on Climate Change) Guidelines for National Greenhouse Gas Inventories. CO2 emissions from international aviation and international maritime transport are included in national totals allocated on the basis of fuel sales. There is, however, no internationally agreed allocation methodology for these sectors as of yet.
  • L
    • marzo 2018
      Fuente: Organisation for Economic Co-operation and Development
      Subido por: Knoema
      Acceso el: 16 abril, 2018
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      Land resources are one of the four components of the natural environment: water, air, land and living resources. In this context land is both: a physical "milieu" necessary for the development of natural vegetation as well as cultivated vegetation; a resource for human activities. The data presented here give information concerning land use state and changes (e.g. agricultural land, forest land). Land area excludes area under inland water bodies (i.e. major rivers and lakes). Arable refers to all lan generally under rotation, whether for temporary crops (double-cropped areas are counted only once) or meadows, or left fallow (less than five years). These data are not meant to indicate the amount of land that is potentially cultivable. Permanent crops are those that occupy land for a long period and do not have to be planted for several years after each harvest (e.g. cocoa, coffee, rubber). Land under vines and trees and shrubs producing fruits, nuts and flowers, such as roses and jasmine, is so classified, as are nurseries (except those for forest trees, which should be classified under "forests and other wooded land"). Arable and permanent crop land is defined as the sum of arable area and land under permanent crops. Permanent meadows and pastures refer to land used for five years or more to grow herbaceous forage crops, either cultivated or growing wild (wild prairie or grazing land). Forest refers to land spanning more than 0.5 hectare (0.005 km2) and a canopy cover of more than 10 percent, or trees able to reach these thresholds in situ. This includes land from which forests have been cleared but that will be reforested in the foreseeable future. This excludes woodland or forest predominantly under agricultural or urban land use and used only for recreation purposes. Other areas include built-up and related land, wet open land, and dry open land, with or without vegetation cover. Areas under inland water bodies (rivers and lakes) are excluded. The definitions used in different countries may show variations.
  • M
    • diciembre 2017
      Fuente: World Bank
      Subido por: Knoema
      Acceso el: 20 febrero, 2018
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      Relevant indicators drawn from the World Development Indicators, reorganized according to the goals and targets of the Millennium Development Goals (MDGs). The MDGs focus the efforts of the world community on achieving significant, measurable improvements in people's lives by the year 2015: they establish targets and yardsticks for measuring development results. Gender Parity Index (GPI)= Value of indicator for Girls/ Value of indicator for Boys. For e.g GPI=School enrolment for Girls/School enrolment for Boys. A value of less than one indicates differences in favor of boys, whereas a value near one (1) indicates that parity has been more or less achieved. The greater the deviation from 1 greater the disparity is.
    • julio 2017
      Fuente: Organisation for Economic Co-operation and Development
      Subido por: Knoema
      Acceso el: 29 agosto, 2017
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      Air pollution is considered one of the most pressing environmental and health issues across OECD countries and beyond. According to the World Health Organisation (WHO), exposure to fine particulate matter (PM2.5) and ground-level ozone (O3) have potentially the most significant adverse effects on health compared to other pollutants. PM2.5 can be inhaled and cause serious health problems including both respiratory and cardiovascular disease, having its most severe effects on children and elderly people. Exposure to PM2.5 has been shown to considerably increase the risk of heart disease and stroke in particular. For these reasons, population exposure to (outdoor or ambient) PM2.5 has been identified as an OECD Green Growth headline indicator. Exposure to ground-level ozone (O3) has serious consequences for human health, contributing to, or triggering, respiratory diseases. These include breathing problems, asthma and reduced lung function (WHO, 2016; Brauer et al., 2016). Ozone exposure is highest in emission-dense countries with warm and sunny summers. The most important determinants are background atmospheric chemistry, climate, anthropogenic and biogenic emissions of ozone precursors such as volatile organic compounds, and the ratios between different emitted chemicals.
    • marzo 2018
      Fuente: Organisation for Economic Co-operation and Development
      Subido por: Knoema
      Acceso el: 15 mayo, 2018
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      This dataset shows data provided by Member countries' authorities through the questionnaire on the state of the environment (OECD/Eurostat). They were updated or revised on the basis of data from other national and international sources available to the OECD Secretariat, and on the basis of comments received from national Delegates. Selected updates were also done in the context of the OECD Environmental Performance Reviews. The data are harmonised through the work of the OECD Working Party on Environmental Information (WPEI) and benefit from continued data quality efforts in OECD member countries, the OECD itself and other international organisations. In many countries systematic collection of environmental data has a short history; sources are typically spread across a range of agencies and levels of government, and information is often collected for other purposes. When interpreting these data, one should keep in mind that definitions and measurement methods vary among countries, and that inter-country comparisons require careful interpretation. One should also note that data presented here refer to national level and may conceal major subnational differences. This dataset presents trends in amounts of municipal (including household waste), and the treatment and disposal method used. The amount of waste generated in each country is related to the rate of urbanisation, the types and pattern of consumption, household revenue and lifestyles.
  • O
    • noviembre 2016
      Fuente: Ocean Health Index
      Subido por: Shakthi Krishnan
      Acceso el: 03 enero, 2017
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      Ocean Health Index, 2016
    • febrero 2012
      Fuente: Organisation for Economic Co-operation and Development
      Subido por: Knoema
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      This dataset covers the uses of wildlife resources and related pressures from human activities: fish production; catches of fish and other aquatic animals and products and the management of wildlife resources: biosphere reserves and wetlands of international importance; major protected areas.
    • junio 2012
      Fuente: Organisation for Economic Co-operation and Development
      Subido por: Pallavi S
      Acceso el: 04 agosto, 2014
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      The OECD Science, Technology and Industry Outlook 2012 presents, in a series of country profiles, the main features, strengths and weaknesses of national STI systems and major recent changes in national STI policy. The statistical dimension of the country profiles has drawn on the work and empirical research conducted by the OECD on the measurement of innovation and the development of internationally comparable STI indicators for policy analysis.
  • P
  • Q
    • junio 2011
      Fuente: Ministry of Development Planning and Statistics, Qatar
      Subido por: Knoema
      Acceso el: 12 marzo, 2018
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      Qatar National Development Strategy 2011~2016 Towards Qatar National Vision 2030
  • R
    • septiembre 2017
      Fuente: Organisation for Economic Co-operation and Development
      Subido por: Knoema
      Acceso el: 16 octubre, 2017
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      The Regional Database contains annual data from 1995 to the most recent available year (generally 2014 for demographic and labour market data, 2013 for regional accounts, innovation and social statistics).   In any analytical study conducted at sub-national levels, the choice of the territorial unit is of prime importance. The territorial grids (TL2 and TL3) used in this database are officially established and relatively stable in all member countries, and are used by many as a framework for implementing regional policies. This classification - which, for European countries, is largely consistent with the Eurostat classification - facilitates greater comparability of regions at the same territorial level. The differences with the Eurostat NUTS classification concern Belgium, Greece and the Netherlands where the NUTS 2 level correspond to the OECD TL3 and Germany where the NUTS1 corresponds to the OECD TL2 and the OECD TL3 corresponds to 97 spatial planning regions (Groups of Kreise). For the United Kingdom the Eurostat NUTS1 corresponds to the OECD TL2. Due to limited data availability, labour market indicators in Canada are presented for a different grid (groups of TL3 regions). Since these breakdowns are not part of the OECD official territorial grids, for the sake of simplicity they are labelled as Non Official Grids (NOG).
  • S
    • junio 2017
      Fuente: Social Progress Imperative
      Subido por: Knoema
      Acceso el: 29 junio, 2017
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      The Social Progress Index is an aggregate index of social and environmental indicators that capture three dimensions of social progress: Basic Human Needs, Foundations of Wellbeing, and Opportunity. The 2017 Social Progress Index includes data from 128 countries on 50 indicators.
    • junio 2017
      Fuente: Sustainable Development Solutions Network
      Subido por: Knoema
      Acceso el: 30 agosto, 2017
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  • T
    • marzo 2017
      Fuente: Organisation for Economic Co-operation and Development
      Subido por: Knoema
      Acceso el: 05 abril, 2017
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      Data is a snapshot of the current year,2017 as of when it was collected.   The data presented here refer to the latest year available, which corresponds to the late 2000s for most countries. The data on the state of threatened species build on country replies to the Annual Quality Assurance (AQA) of OECD environmental reference series. These data are harmonized through the work of the OECD Working Party on Environmental Information (WPEI). Some where updated or revised on the basis of comments from national Delegates and in the framework of the OECD Environmental Performance Reviews. When interpreting these data, it should be borne in mind that the number of species known does not always accurately reflect the number of species in extistence and that varying definitions can limit comparability across countries. Species assessed as Critically Endangered (CR), Endangered (EN), or Vulnerable (VU) are referred to as "threatened" species. Reporting the proportion of threatened species on The IUCN Red List is complicated by the fact that not all species groups have been fully evaluated, and also by the fact that some species have so little information available that they can only be assessed as Data Deficient (DD). For many of the incompletely evaluated groups, assessment efforts have focused on species that are likely to be threatened; therefore any percentage of threatened species reported for these groups would be heavily biased (i.e., the % threatened species would likely be an overestimate).
  • U
    • septiembre 2010
      Fuente: United Nations Economic Commission for Europe
      Subido por: Knoema
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      The United Nations Economic Commission for Europe (UNECE) forestry statistics
    • octubre 2014
      Fuente: United Nations Economic Commission for Europe
      Subido por: Knoema
      Acceso el: 16 junio, 2016
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    • junio 2015
      Fuente: United Nations Environment Programme
      Subido por: Pallavi S
      Acceso el: 30 junio, 2016
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      The GEO Data Portal is the authoritative source for data sets used by UNEP and its partners in the Global Environment Outlook (GEO) report and other integrated environment assessments. The GEO Data Portal gives access to a broad socio-economic data sets from authoritative sources at global, regional, sub-regional and national levels. The contents of the Data Portal cover environmental themes such as climate, forests and freshwater and many others, as well as socioeconomic categories, including education, health, economy, population and environmental policies.
    • enero 2017
      Fuente: United Nations Statistics Division
      Subido por: Knoema
      Acceso el: 21 febrero, 2017
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      UNSD Environmental Indicators disseminate global environment statistics on ten indicator themes compiled from a wide range of data sources. The themes and indicator tables were selected based on the current demands for international environmental statistics and the availability of internationally comparable data. Indicator tables, charts and maps with relatively good quality and coverage across countries, as well as links to other international sources, are provided under each theme. Statistics on Water and Waste are based on official statistics supplied by national statistical offices and/or ministries of environment (or equivalent institutions) in response to the biennial UNSD/UNEP Questionnaire on Environment Statistics, complemented with comparable statistics from OECD and Eurostat, and water resources data from FAO Aqua stat. Statistics on other themes were compiled by UNSD from other international sources. In a few cases, UNSD has made some calculations in order to derive the indicators. However, generally no adjustments have been made to the values received from the source. UNSD is not responsible for the quality, completeness/availability, and validity of the data. Environment statistics is still in an early stage of development in many countries, and data are often sparse. The indicators selected here are those of relatively good quality and geographic coverage. Information on data quality and comparability is given at the end of each table together with other important metadata.
  • W
    • diciembre 2016
      Fuente: EarthEcho Water Challenge
      Subido por: Knoema
      Acceso el: 25 agosto, 2017
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      The pH of pure water is 7. In general, water with a pH lower than 7 is considered acidic, and with a pH greater than 7 is considered basic. The normal range for pH in surface water systems is 6.5 to 8.5, and the pH range for groundwater systems is between 6 to 8.5.
    • octubre 2012
      Fuente: World Wide Fund for Nature
      Subido por: Anil Kumar
      Acceso el: 16 febrero, 2016
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      Domestic ivory market score: Scores range from –4, indicating no or very small, highly-regulated domestic ivory markets and carving industries, to 20, indicating extremely large, completely unregulated domestic ivory markets and carving industries. As described in CoP13 Doc.29,2 Annex, this component is based upon a cumulative scoring system which tracks the relative scale of the retail-level trade, the degree of control over such trade, and the status of ivory carving. Law enforcement effort ratio: Number of in-country seizures divided by total number of seizures linked to that country 1999-2010. Total weight of recent ivory seizures: Total weight of ivory seizures linked to that country 1999-2010. Organized crime indicator: Percentage of seizure cases linked to that country 1999-2010 of more than 1,000 kg in weight, indicative of involvement of organized crime in the movement of ivory.
    • abril 2018
      Fuente: World Bank
      Subido por: Knoema
      Acceso el: 24 abril, 2018
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      Climate change is expected to hit developing countries the hardest. Its effects—higher temperatures, changes in precipitation patterns, rising sea levels, and more frequent weather-related disasters—pose risks for agriculture, food, and water supplies. At stake are recent gains in the fight against poverty, hunger and disease, and the lives and livelihoods of billions of people in developing countries. Addressing climate change requires unprecedented global cooperation across borders. The World Bank Group is helping support developing countries and contributing to a global solution, while tailoring our approach to the differing needs of developing country partners. Data here cover climate systems, exposure to climate impacts, resilience, greenhouse gas emissions, and energy use. Other indicators relevant to climate change are found under other data pages, particularly Environment, Agriculture & Rural Development, Energy & Mining, Health, Infrastructure, Poverty, and Urban Development.
  • Р
    • marzo 2018
      Fuente: Federal State Statistics Service, Russia
      Subido por: Olga Porozova
      Acceso el: 15 marzo, 2018
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      Вывезено за год бытового мусора, твердых бытовых отходов на предприятия промышленной переработки (мусороперерабатывающие заводы).
    • mayo 2016
      Fuente: Federal State Statistics Service, Russia
      Subido por: Knoema
      Acceso el: 09 junio, 2016
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      Глубок�е разведочное бурение на нефть и газ; общий объем глубокого разведочного бурения ; �бъем геологоразведочных работ за счет всех источников финансирования; объем геологоразведочных работ на глубокое разведочное бурение; объем геологоразведочных работ
    • junio 2017
      Fuente: Federal State Statistics Service, Russia
      Subido por: Olga Porozova
      Acceso el: 13 junio, 2017
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      Регионы России: население, территория, здравоохранение, экология
    • junio 2017
      Fuente: Federal State Statistics Service, Russia
      Subido por: Olga Porozova
      Acceso el: 15 junio, 2017
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      Выброшено в атмосферу загрязняющих веществ за отчетный год от сжигания топлива (для выработки электро- и теплоэнергии); выброшено в атмосферу загрязняющих веществ, отходящих от стационарных источников; доля уловленных и обезвреженных загрязняющих атмосферу веществ в общем количестве отходящих от стационарных источников; количество объектов, имеющих стационарные источники загрязнения атмосферного воздуха ; количество объектов, имеющих стационарные источники загрязнения с установленными нормативами ПДВ ; количество организованных источников загрязнения атмосферы на конец года; Количество стационарных источников загрязнения атмосферы на конец года ; уловлено и обезврежено загрязняющих веществ; утилизировано загрязняющих веществ.
    • abril 2016
      Fuente: Federal State Statistics Service, Russia
      Subido por: Kirill Kosenkov
      Acceso el: 21 junio, 2016
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      Затраты на капитальный ремонт основных фондов по охране окружающей среды; плата за допустимые и сверхнормативные выбросы (сбросы) загрязняющих веществ (размещение отходов производства и потребления) ; текущие (эксплуатационные) затраты на охрану окружающей среды; текущие (эксплуатационные) затраты на охрану окружающей среды, включая оплату услуг природоохранного назначения.   С 2012 г. затраты приводятся по направлениям природоохранной деятельности в соответствии с международным классификатором СЕРА-2000 (Classification of Environmental Protection Activities and Expenditure, 2000. OECD/Eurostat)