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Russische Föderation

  • Präsident:Vladimir Vladimirovich Putin
  • Premierminister:Dmitry Anatolyevich Medvedev
  • Hauptstadt:Moscow
  • Sprachen:Russian (official) 85.7%, Tatar 3.2%, Chechen 1%, other 10.1% note: data represent native language spoken (2010 est.)
  • Regierung
  • Nationales Amt für Statistik
  • Bevölkerung, Personen:144.495.044 (2017)
  • Fläche, km2:16.376.870 (2017)
  • BIP pro Kopf, US$:10.743 (2017)
  • BIP, Milliarden aktuelle US $:1.577,5 (2017)
  • Gini-Koeffizient:37,7 (2015)
  • Ease-of-Doing-Business-Rang:35 (2017)
Alle Datensätze:  A C D F G I M N P R U W
  • A
  • C
    • März 2016
      Quelle: UNESCO Institute for Statistics
      Hochgeladen von: Knoema
      Zugriff am: 22 März, 2016
      Datensatz auswählen
    • April 2019
      Quelle: United Nations Economic Commission for Europe
      Hochgeladen von: Knoema
      Zugriff am: 22 April, 2019
      Datensatz auswählen
      Source: UNECE Statistical Database, compiled from national and international (Eurostat) official sources. Definition: Data provided refer to the proportion of persons who used a computer in the last three months preceding the survey over the total population of corresponding sex and age group. A computer is defined as a multi purpose machine, a personal computer, powered by one of the major operating systems, i.e. Macintosh (Apple), Linux or Microsoft (Windows XP, NT or Vista). PDAs (handheld computers or palmtops) are included. Other equipments with embedded computing technologies, e.g. cell phones, TV sets, washing machines and dish washers are not considered as computers. .. - data not available Country: Armenia Additional information (2004 - 2008): Data refer to percentage of persons using computers in households covered in Integrated household living standards survey. Country: Armenia For 2013-2014 data refer to the proportion of persons who used a computer in the last 12 months. Since 2015, to the proportion of persons who used a computer in the last three months. Country: Belarus Refers to computer use in the past 12 months. Country: Israel Change in definition (2002 - 2006): Data refer to population aged 20 and over. Data refer to the proportion of persons who used a computer in the last month. Country: Israel Change in definition (2007 - 2013): Data refer to population aged 20 and over. Country: Moldova, Republic of Change in definition (2009): Data refer to ge groups: 16-29, 30-59, 60-74. Country: Russian Federation Reference period (2013): Data do not refer to equipment such as mobile cellular phones , PDAs ( personal digital assistants) or TVs etc. Country: Serbia Data exclude territory of Kosovo and Metohija Country: United States Change in definition (1990 - 2013): Data do not refer to last 3 months, i.e. not time specific. Data are collected in October.
  • D
    • Mai 2007
      Quelle: International Telecommunication Union
      Hochgeladen von: Knoema
      Zugriff am: 28 Mai, 2015
      Datensatz auswählen
      The Digital Opportunity Index (DOI) is the only index that includes price data for 181 economies, which is vital in assessing effective market demand. The Digital Opportunity Index (DOI) has been designed to as a tool for tracking progress in bridging the digital divide and the implementa- tion of the outcomes of the World Summit on the Information Society (WSIS). As such, it provides a powerful policy tool for exploring the global and regional trends in infrastructure, opportu- nity and usage that are shaping the Information Society.
  • F
    • Februar 2019
      Quelle: Freedom House
      Hochgeladen von: Knoema
      Zugriff am: 21 März, 2019
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      Freedom on the Net measures the subtle and not-so-subtle ways that governments and non-state actors around the world restrict our intrinsic rights online. Freedom on the Net scores are based on a scale of 0 to 100 with 0 representing the best level of freedom on the net progress and 100 the worst. Note: 1)The 2017 ratings reflect the period of June 1, 2016 through May 31, 2017 2)The 2016 ratings reflect the period of June 1, 2015 through May 31, 2016. 3)The 2015 ratings reflect the period January 1 through December 31, 2014.
  • G
    • Juli 2017
      Quelle: International Telecommunication Union
      Hochgeladen von: Shakthi Krishnan
      Zugriff am: 13 September, 2017
      Datensatz auswählen
        The Global Cybersecurity Index (GCI) is a survey that measures the commitment of Member States to cybersecurity in order to raise awareness. The GCI revolves around the ITU Global Cybersecurity Agenda (GCA) and its five pillars (legal, technical, organizational, capacity building and cooperation). For each of these pillars, questions were developed to assess commitment. Through consultation with a group of experts, these questions were weighted in order to arrive at an overall GCI score. The survey was administered through an online platform through which supporting evidence was also collected. One-hundred and thirty-four Member States responded to the survey throughout 2016. Member States who did not respond were invited to validate responses determined from open-source research. As such, the GCI results reported herein cover all 193 ITU Member States. The 2017 publication of the GCI continues to show the commitment to cybersecurity of countries around the world. The overall picture shows improvement and strengthening of all five elements of the cybersecurity agenda in various countries in all regions. However, there is space for further improvement in cooperation at all levels, capacity building and organizational measures. As well, the gap in the level of cybersecurity engagement between different regions is still present and visible. The level of development of the different pillars varies from country to country in the regions, and while commitment in Europe remains very high in the legal and technical fields in particular, the challenging situation in the Africa and Americas regions shows the need for continued engagement and support. In addition to providing the GCI score, this report also provides a set of illustrative practices that give insight into the achievements of certain countries.
    • November 2018
      Quelle: International Telecommunication Union
      Hochgeladen von: Knoema
      Zugriff am: 17 Januar, 2019
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    • Juli 2016
      Quelle: World Economic Forum
      Hochgeladen von: Knoema
      Zugriff am: 13 Januar, 2017
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      Data cited at: The World Economic Forum https://www.weforum.org/ Topic: The Global Information Technology Report 2016 Publication URL: https://www.weforum.org/reports/the-global-information-technology-report-2016 License: https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode   This Dataset contains proprietary and non-proprietary data used in the computation of the World Economic's Forum Networked Readiness Index. By making this data available, the Forum aims to inform multi-stakeholder dialogue, foster evidence-based, data-driven decisions, allow measuring progress, and support research by academia, journalists and others.
    • Dezember 2018
      Quelle: Knowledge4All
      Hochgeladen von: Knoema
      Zugriff am: 18 März, 2019
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      Data cited at: Knowledge4All,United Nations Development Programme & Mohammed Bin Rashid Al Maktoum Knowledge Foundation.   Note-Full Version can be checked here: https://knoema.com/WLDKALLGKI2018Dec/global-knowledge-index The GKI is a partnership initiative between the United Nations Development Programme (UNDP) and Mohammed Bin Rashid Al Maktoum Knowledge Foundation (MBRF), it was first announced during the Knowledge Summit in 2016. The Global Knowledge Index (GKI) is the index that measures knowledge on the global level, it highlights the strategic role of knowledge and the importance of developing objective and scientific tools to measure and evaluate it. The GKI aims at measuring knowledge as a broad concept that is intricately related to all aspects of modern human life, in a systematic approach that builds on solid conceptual and methodological principles. The Global Knowledge Index (GKI) is the only index that measures knowledge on the global level, it highlights the strategic role of knowledge and the importance of developing objective and scientific tools to measure and evaluate it. The GKI aims at measuring knowledge as a broad concept that is intricately related to all aspects of modern human life, in a systematic approach that builds on solid conceptual and methodological principles. The GKI is composed of six sectoral indices: 1) Pre - university education 2) Technical vocational education and training(TVET) 3) Higher education 4) Research, development and innovation(RDI) 5) Information and communications technology (ICT) 6) Economy in addition to a seventh supporting index on the General Enabling Environment. All values are normalized to a scale from 0 (worst) to 100 (best).
    • Dezember 2018
      Quelle: Knowledge4All
      Hochgeladen von: Knoema
      Zugriff am: 18 März, 2019
      Datensatz auswählen
      Data cited at: Knowledge4All,United Nations Development Programme & Mohammed Bin Rashid Al Maktoum Knowledge Foundation. The GKI is a partnership initiative between the United Nations Development Programme (UNDP) and Mohammed Bin Rashid Al Maktoum Knowledge Foundation (MBRF), it was first announced during the Knowledge Summit in 2016. The Global Knowledge Index (GKI) is the index that measures knowledge on the global level, it highlights the strategic role of knowledge and the importance of developing objective and scientific tools to measure and evaluate it. The GKI aims at measuring knowledge as a broad concept that is intricately related to all aspects of modern human life, in a systematic approach that builds on solid conceptual and methodological principles. The Global Knowledge Index (GKI) is the only index that measures knowledge on the global level, it highlights the strategic role of knowledge and the importance of developing objective and scientific tools to measure and evaluate it. The GKI aims at measuring knowledge as a broad concept that is intricately related to all aspects of modern human life, in a systematic approach that builds on solid conceptual and methodological principles. The GKI is composed of six sectoral indices: 1) Pre - university education 2) Technical vocational education and training(TVET) 3) Higher education 4) Research, development and innovation(RDI) 5) Information and communications technology (ICT) 6) Economy in addition to a seventh supporting index on the General Enabling Environment. All values are normalized to a scale from 0 (worst) to 100 (best).   The Pre-University Education sector plays a central role in building the knowledge capital that represents the first input in preparing young people to acquire and produce knowledge. Pre-university education equips youth with scientific knowledge, as well as creative skills and capacities, to access lifelong learning opportunities. This sector is therefore key, as it constitutes the first basis for other sectors to build upon. It is composed of two pillars: knowledge capital and educational enabling environment. The Technical Vocational Education and Training (TVET) sector represents the main connection between education and the labour market and provides educated young people with opportunities for professional integration. It contributes to the provision of high-skilled labour and the development of conducive working environments. It is composed of two pillars: formation and professional training and features of the labour market. The Higher Education sector is of high importance, as it is an active component in educating youth, developing their qualifications, and expanding their knowledge and skills, which results in the improvement of a country’s productivity and competitiveness in global markets. It is also considered among the most important factors that directly contribute to the advancement of scientific research and technological development. It is composed of two pillars: higher education inputs and higher education outputs and quality. Research, Development, and Innovation (RDI) contribute to increasing knowledge at the national and regional levels. RDI, which serves as a driver for economic growth and sustainable development in both developed and developing countries, is mainly based on the production of new or improved goods, services, production processes, and organizational models. RDI is closely linked to other sectors as it provides essential inputs to the entire system. It is composed of three pillars: research and development, innovation in production, and social innovation. Information and Communications Technology (ICT) plays an essential role in supporting the advancement of knowledge across all sectors. Advancements in knowledge-intensive production have become closely linked to the provision of advanced technology, especially as the Internet has increased the opportunities available to acquire knowledge. Therefore, it is essential for countries to employ indicators that quantify their levels of ICT development for the benefit of stakeholders in their societies. It is composed of two pillars: ICT inputs and ICT outputs. Information and Communications Technology (ICT) plays an essential role in supporting the advancement of knowledge across all sectors. Advancements in knowledge-intensive production have become closely linked to the provision of advanced technology, especially as the Internet has increased the opportunities available to acquire knowledge. Therefore, it is essential for countries to employ indicators that quantify their levels of ICT development for the benefit of stakeholders in their societies. It is composed of two pillars: ICT inputs and ICT outputs. The Knowledge Economy is the main driver of sustainable development, wealth creation, and job creation in various economic fields, across the industrial, agricultural, and service sectors. Unlike the traditional concept of economic resource analysis and availability, a knowledge economy is primarily based on providing economic resources, particularly human resources, with knowledge tools, including digital and technological knowledge assets, as well as innovative and creative skills. It is composed of three pillars: knowledge competitiveness, economic openness, and financing and value added. The General Enabling Environment was added to support the 6 sectoral indices, as these sectors do not operate in isolation from their surroundings, but rather in a space governed by a range of contextual factors – political, socioeconomic, health-related, and environmental. It is composed of three pillars: political and institutional, socio-economic, and health and environment.
    • Dezember 2014
      Quelle: World Wide Web Foundation
      Hochgeladen von: Knoema
      Zugriff am: 04 April, 2016
      Datensatz auswählen
      Data cited at: World Wide Web Foundation https://thewebindex.org/ Topic: Data, Web Index 2014 data Publication: https://thewebindex.org/data/?indicator=INDEX&country=ALL License: http://creativecommons.org/licenses/by/4.0/   The Web has changed our lives. But to harness its full benefit, we need to understand how countries and people use it, and its impact on on development and human rights. The Web Index, by the World Wide Web Foundation, tracks the Web’s contribution to social, economic and political progress across 86 countries. It ranks these nations across four pillars: Universal Access, Freedom and Openness, Empowerment and Relevant Content.
    • Oktober 2015
      Quelle: bq magazine
      Hochgeladen von: Knoema
      Zugriff am: 11 April, 2016
      Datensatz auswählen
      Gulf Dataset 2015 includes below Topics. 1. The Arab World Online 2014: Trends in Internet and Mobile Usage in the Arab Region http://img.b8cdn.com/images/uploads/article_docs/en_gip-mbrsg_bayt_internet_final_20422_EN.pdf 2. Just Falafel Index 2015: Given the popularity and convenience of the Big Mac Index by The Economist, bqdoha.com devised a similar, but more local, solution/version for currency valuation. http://www.bq-magazine.com/magazine-content/2015/01/just-falafel-index 3. CO2 emissions in GCC countries 2014 http://www.bq-magazine.com/gcc-illustrated/2014/08/co2-emissions-gcc-countries 4. Satisfaction with access to quality healthcare in the GCC http://www.bq-magazine.com/gcc-illustrated/2014/07/healthcare-access-gcc
  • I
    • Januar 2008
      Quelle: Organisation for Economic Co-operation and Development
      Hochgeladen von: Knoema
      Zugriff am: 22 September, 2014
      Datensatz auswählen
      ICT goods are those that are either intended to fulfil the function of information processing and communication by electronic means, including transmission and display, OR which use electronic processing to detect, measure and/or record physical phenomena, or to control a physical process. ICT goods are defined by the OECD in terms of the Harmonised System. The guiding principle for the delineation of ICT goods is that such goods must either be intended to fulfil the function of information processing and communication by electronic means, including transmission and display, OR use electronic processing to detect, measure and/or record physical phenomena, or to control a physical process.Another guiding principle was to use existing classification systems in order to take advantage of existing data sets and therefore ensure the immediate use of the proposed standard. In this case, the underlying system is the Harmonized System (HS). The HS is the only commodity classification system used on a sufficiently wide basis to support international data comparison. A large number of countries use it to classify export and import of goods, and many countries use it (or a classification derived from or linked to it) to categorise domestic outputs.The application of the ICT product definition to selection of in-scope HS categories is a somewhat subjective exercise. The fact that the HS is not built on the basis of the functionality of products makes it much more difficult. The distinction between products which fulfil those functions and products that simply embody electronics but fundamentally fulfil other functions is not always obvious.It is possible to adopt a narrow or broad interpretation of the guideline, though the OECD chose a broader interpretation, an approach which is consistent with that adopted to develop the ICT sector definition.
    • Januar 2017
      Quelle: Eurostat
      Hochgeladen von: Knoema
      Zugriff am: 16 Januar, 2017
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      Patents reflect a country's inventive activity. Patents also show the country's capacity to exploit knowledge and translate it into potential economic gains. In this context, indicators based on patent statistics are widely used to assess the inventive performance of countries. This domain provides users with data concerning patent applications to the European Patent Office - EPO, patents granted by the United States Patent and Trademark Office - USPTO and triadic patent families. EPO data refer to all patent applications by priority year as opposed to patents granted by priority year, which is the case of USPTO data.Patents reflect a country's inventive activity. Patents also show the country's capacity to exploit knowledge and translate it into potential economic gains. In this context, indicators based on patent statistics are widely used to assess the inventive performance of countries.
    • Dezember 2016
      Quelle: Federal Communications Commission
      Hochgeladen von: Knoema
      Zugriff am: 14 April, 2017
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    • April 2019
      Quelle: United Nations Economic Commission for Europe
      Hochgeladen von: Knoema
      Zugriff am: 22 April, 2019
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      .. - data not available Source:UNECE Statistical Database, compiled from national and international (Eurostat) official sources. Definition: Use of Internet includes any kind of use, whether at home, at work or from anywhere else, for private or professional purposes, using a computer or any other means. Users of Internet over three months period: proportion of individuals who used the Internet in the last three months preceding the survey over the total number of individuals in the same group. Users of Internet over one week: proportion of individuals who used the internet at least once a week in the last three months preceding the survey over the total number of individuals in the same group. Variable: Users of Internet over 3 months period , Country: Armenia For 2013-2014 data refer to the proportion of persons who used a computer in the last 12 months. Since 2015, to the proportion of persons who used a computer in the last three months. Country: Armenia Additional information (2004 - 2008): Data refer to percentage of persons using internet in households covered in Integrated household living standards survey. Country: Azerbaijan Break in methodology: from 2013 data also include users connected to Internet through mobile phones Variable: Users of Internet over 3 months period , Country: Belarus Refers to computer use in the past 12 months. Country: Canada Data for 'all ages' refer to persons aged 18 years or higher (16 years or higher for 2007); 16 to 24 refer to ages 18 to 34 (aged 16 to 34 for 2007); 25 to 54 refer to ages 35 to 54; and 55 to 74 refer to ages 55 to 64. Data do not include Inmates of institutions, persons living on Indian Reserves, and full time members of the Canadian Armed Forces. Data refer to Interent use in the 12 months preceding the survey; data follow closely the calendar year. Data include use of the Internet for personal, non-business reasons only. 2000-2003: data refer to the percentage of all households with at least one member regularly using the Internet from any location; data by age group are based on the age of the household head (who may or may not use the Internet). Country: Israel Change in definition (2002 - 2006): Data refer to population aged 20 and over. Data refer to the proportion of persons who used a internet in the last month. Country: Israel Change in definition (2008 - 2013): Data refer to population aged 20 and over. Variable: Weekly users of Internet , Country: Kazakhstan Data on weekly Internet use for age groups 16-74 and 16-24 refer to the population of 15-74 and 15-24 respectively. Country: Russian Federation Break in methodlogy (2011): Data refer to 16 - 74 year olds who use internet to the total number of persons in the relevant age group Country: Russian Federation Change in definition (2013): Data refer to age groups 16-72 and 55-72 instead of 16-74 and 55-74. Country: Russian Federation Change in definition (2013): Data refer to age groups 16-72 and 55-72 instead of 16-74 and 55-74. Country: Serbia Data exclude territory of Kosovo and Metohija. Country: Switzerland Change in definition: For 2000 - 2013, data on All ages refer to age group 14-74; age group 16-24 refers to 14-24. Since 2014 onwards, age group 16-74 has been considered. Country: Switzerland Reference period: For 2000 - 2013 data refer to 6 months period: 2006 refer to Oct. 2005 to March 2006; the same applies to other years. From 2014 onwards the reference period is the last three months and the frequency is at least once a week. Country: Ukraine Change in definition (2007 - 2013): Data refer to age groups 15-24 instead of 16-24 and 25-74 instead of 25-54. Data for 16-74 refer to all age groups. Country: Ukraine Territorial change (2007 - 2013): Excludes localities in the territory, which was radioactively contaminated by the Chernobyl disaster. Country: United States Change in definition (2007 - 2015): Data refer to civilian, non-institutionalized population. Age range is 15 and over. Data are not time or frequency specific, bur rather only about using the internet or email. Includes Internet use at home and away from home. Country: United States Reference period (1990): Data refer to 1989. Country: United States Reference period (1995): Data refer to 1997.
    • Februar 2018
      Quelle: World Bank
      Hochgeladen von: Knoema
      Zugriff am: 02 August, 2018
      Datensatz auswählen
      Internet users are individuals who have used the Internet (from any location) in the last 3 months. The Internet can be used via a computer, mobile phone, personal digital assistant, games machine, digital TV etc.
    • Februar 2016
      Quelle: Convention on International Trade in Endangered Species
      Hochgeladen von: Knoema
      Zugriff am: 18 Februar, 2016
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      Data cited at:Convention on International Trade in Endangered Species   The investigation was conducted using a series of six one-week “snapshot” surveys from 12 May to 29 June 2008, in each country.
  • M
    • Dezember 2018
      Quelle: International Telecommunication Union
      Hochgeladen von: Knoema
      Zugriff am: 14 Dezember, 2018
      Datensatz auswählen
      This Dataset contains Indicators related to IC Development Index and Tables from "Measuring the Information Society Report 2018, Volume 1" For Indicators for other ICT Development data please refer: https://knoema.com/ITUKIICT2019/global-ict-developments
  • N
    • Juni 2015
      Quelle: McAfee
      Hochgeladen von: Knoema
      Zugriff am: 18 September, 2015
      Datensatz auswählen
      Cybercrime is a growth industry. The returns are great, and the risks are low. We estimate that the likely annual cost to the global economy from cybercrime is more than $400 billion.1 A conservative estimate would be $375 billion in losses, while the maximum could be as much as $575 billion. Even the smallest of these figures is more than the national income of most countries and governments and companies underestimate how much risk they face from cybercrime and how quickly this risk can grow.
  • P
  • R
    • März 2019
      Quelle: Eurostat
      Hochgeladen von: Knoema
      Zugriff am: 02 April, 2019
      Datensatz auswählen
      The objective of these data is to provide information for benchmarking and monitoring developments in ICT sector. ICT sector statistics is used largely in the context of the Monitoring the Digital Economy & Society  2016-2021 (endorsed by the Digital Agenda High Level Group) that follows the 2011 - 2015 benchmarking framework via the Digital Agenda Scoreboard to monitor progress of the European digital economy according to the objectives set out in the Digital Agenda for Europe, a Europe 2020 Initiative. This conceptual framework follows the i2010 Benchmarking Framework which itself followed-up the eEurope 2005 Action Plan. ICT sector indicators are compiled using the secondary statistical analysis. This approach has a virtue of ensuring cost-efficient and high-quality data collection. At the same time, this approach has limited options for designing new indicators, as well as for control over data quality and over data release timing. Data from the Structural Business Statistics (SBS), National Accounts (NA) and Research and Development (R&D) Statistics sections of the Eurostat database are used. For this reason, Metadata guidelines on SBS, on NA and on R&D Statistics are applicable to the data that has been extracted from the respective primary statistics sources. Representation ICT sector statistics contains five indicators in the country/year dimensions, which are updated on an annual basis: (1) Share of the ICT sector in GDP (2) Share of the ICT sector personnel in total employment (3) Growth of the ICT sector value added (4) Share of the ICT sector in the R&D expenditure of businesses (5) Share of the ICT sector in R&D personnel In tables (1)-(3), data for NACE economic activity codes is grouped into three aggregates:ICT sector - total,ICT manufacturingICT Services. Tables (4) and (5) report disaggregated NACE economic activities. Definition ICT sector, ICT manufacturing and ICT services are defined according to the OECD official definition (see OECD, 2011 for details). The 2002 OECD definition in terms of NACE Rev. 1.1 is used on data prior to 2009, while the 2006 OECD definition in terms of NACE Rev. 2 is applied to the data from 2009 onwards. Since the impact of the break in series related to the revision of NACE is minimised due to the compatibility between the two OECD ICT sector definitions, data for each of the indicators (1)-(3) is presented in respective single tables, and not in separate tables for each revision of NACE (as it is done in the source SBS and NA data). Data for the indicators (4) and (5) is based on the NACE Rev. 2 codes of economic activity, with the data for the years prior to 2009 being recalculated using the official correspondence tables between NACE Rev. 2 and NAVE Rev. 1.1. Time coverage Data covers all years starting from 2000 until the latest year available. Following the approach set by the source primary statistics data files, the publication year is calculated as (t+1), with t being the reference year. Data for the indicators (1)-(5) are updated yearly from 2008 until the latest year available (as opposed to simply adding one additional year) to incorporate the latest revisions made on the source data (SBS, NA and R&D statistics). Data prior to 2008 is left unchanged following the approach used in the source data domains.
  • U
  • W
    • April 2019
      Quelle: World Bank
      Hochgeladen von: Knoema
      Zugriff am: 01 Mai, 2019
      Datensatz auswählen
      The primary World Bank collection of development indicators, compiled from officially-recognized international sources. It presents the most current and accurate global development data available, and includes national, regional and global estimates