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Honduras

  • President:Juan Orlando Hernández
  • Vice President:Ricardo Álvarez Arias
  • Capital city:Tegucigalpa
  • Languages:Spanish (official), Amerindian dialects
  • Government
  • National statistics office
  • Population, persons:9,587,522 (2018)
  • Area, sq km:111,890
  • GDP per capita, US$:2,483 (2018)
  • GDP, billion current US$:23.8 (2018)
  • GINI index:No data
  • Ease of Doing Business rank:121
All datasets:  B E F G H I M P R S T U W
  • B
  • E
    • December 2015
      Source: United Nations Development Programme
      Uploaded by: Misha Gusev
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      Calculated using Mean Years of Schooling and Expected Years of Schooling.
    • August 2019
      Source: World Bank
      Uploaded by: Knoema
      Accessed On: 02 August, 2019
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      Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic:Education Statistics Publication: https://datacatalog.worldbank.org/dataset/education-statistics License: http://creativecommons.org/licenses/by/4.0/   The World Bank EdStats All Indicator Query holds over 4,000 internationally comparable indicators that describe education access, progression, completion, literacy, teachers, population, and expenditures. The indicators cover the education cycle from pre-primary to vocational and tertiary education.
    • November 2018
      Source: National Institute of Statistics, Honduras
      Uploaded by: Knoema
      Accessed On: 10 December, 2018
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    • March 2019
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 15 March, 2019
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      This dataset presents the number of students enrolled in different education programmes by country of origin and sex.
  • F
    • September 2014
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 04 October, 2014
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      The number of students enrolled refers to the count of students studying in the reference period. Each student enrolled in the education programmes covered by the corresponding category is counted once and only once. National data collection systems permitting, the statistics reflect the number of students enrolled at the beginning of the school / academic year. Preferably, the end (or near-end) of the first month of the school / academic year is chosen (special arrangements are made for part-year students who may not start studies at the beginning of the school year). Students are classified as foreign students (non-citizens) if they are not citizens of the country in which the data are collected. While pragmatic and operational, this classification is inappropriate for capturing student mobility because of differing national policies regarding the naturalisation of immigrants. Countries that have lower propensity to grant permanent residence to its immigrant populations are likely to report second generation immigrants as foreign students. Therefore, for student mobility and bilateral comparisons, interpretations of data based on the concept of foreign students should be made with caution. Students are classified as international students if they left their country of origin and moved to another country for the purpose of study. Depending on country-specific immigration legislation, mobility arrangements, and data availability, international students may be defined as students who are not permanent or usual residents of their country of study or alternatively as students who obtained their prior education in a different country, including another EU country.
  • G
    • October 2019
      Source: World Bank
      Uploaded by: Knoema
      Accessed On: 04 October, 2019
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      Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic: Gender Statistics Publication: https://datacatalog.worldbank.org/dataset/gender-statistics License: http://creativecommons.org/licenses/by/4.0/
    • December 2018
      Source: World Economic Forum
      Uploaded by: Knoema
      Accessed On: 28 January, 2019
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       Data cited at: The World Economic Forum https://www.weforum.org/ Topic: The Global Gender Gap Report 2018 Publication URL: https://www.weforum.org/reports/the-global-gender-gap-report-2018 License: https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode   This dataset provides education and skills related indicators that present in Global Gender Gap Report
    • December 2018
      Source: Knowledge4All
      Uploaded by: Knoema
      Accessed On: 18 March, 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).
    • January 2019
      Source: INSEAD
      Uploaded by: Knoema
      Accessed On: 12 March, 2019
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      This data presents high-level way of mapping individual countries in terms of talent competitiveness consists of comparing their GTCI scores to their GDP per capita for the selected indicators.In its first year, the GTCI model covers 103 countries,representing 86.3% of the world’s population and 96.7% of the world’s GDP (in current US dollars).It is a simplified manner of acquiring a first assessment about the ways in which competitiveness relates to overall level of economic development of a nation.
    • September 2019
      Source: International Monetary Fund
      Uploaded by: Knoema
      Accessed On: 23 September, 2019
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      This dataset provides a comprehensive view of the functions, or socioeconomic objectives, that government aims to achieve through various kinds of expenditure, comprising detailed classifications of general public service, defense, public order and safety, economic affairs, environment protection, housing and community services, health, recreation, culture and religion, education, and social protection services.
  • H
    • September 2019
      Source: World Bank
      Uploaded by: Knoema
      Accessed On: 25 September, 2019
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      Health Nutrition and Population Statistics database provides key health, nutrition and population statistics gathered from a variety of international and national sources. Themes include global surgery, health financing, HIV/AIDS, immunization, infectious diseases, medical resources and usage, noncommunicable diseases, nutrition, population dynamics, reproductive health, universal health coverage, and water and sanitation.
  • I
    • September 2019
      Source: World Bank
      Uploaded by: Knoema
      Accessed On: 25 September, 2019
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      Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic: IDA Results Measurement System Publication: https://datacatalog.worldbank.org/dataset/ida-results-measurement-system License: http://creativecommons.org/licenses/by/4.0/   The IDA Results Measurement System dataset measures progress on aggregate outcomes for IDA countries for selected indicators. It includes key country outcome indicators covering areas that are consistent with the Millennium Development Goals, are priorities in many national development plans and/or poverty reduction strategies, and reflect IDA's activities in IDA countries. The indicators capture both the economic growth and the human development priorities of ongoing IDA programs.
    • June 2018
      Source: Barro-Lee
      Uploaded by: Knoema
      Accessed On: 12 December, 2018
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      Data cited at: Barro-Lee   The Barro-Lee Data set (2010) extends their previous estimates from 1950 to 2010, and provide more, improved data disaggregated by sex and and by 5-year age intervals. It provides educational attainment data for 146 countries in 5-year intervals from 1950 to 2010 as well as information about the distribution of educational attainment of the adult population over age 15 and over age 25 by sex at seven levels of schooling. Average years of schooling at all levels are also measured for each country and for regions in the world. Note: Cited at Barro, Robert and Jong-Wha Lee, April 2010, "A New Data Set of Educational Attainment in the World, 1950-2010." NBER Working Paper No. 15902
    • July 2019
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 14 July, 2019
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      This dataset contains the number of people who graduated from an education programme by country of origin and sex.
    • April 2019
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 16 April, 2019
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      This indicator reports the percentage of students of each country of origin over the total of international students.
  • M
    • March 2019
      Source: World Bank
      Uploaded by: Knoema
      Accessed On: 20 March, 2019
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      Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic: Millennium Development Goals Publication: https://datacatalog.worldbank.org/dataset/millennium-development-goals License: http://creativecommons.org/licenses/by/4.0/   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.
  • P
    • October 2019
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 16 October, 2019
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      This dataset presents activities in support of development from philanthropic foundations since 2009, including bilateral activities and core contributions to multilateral organisations. Bilateral activities from this dataset can also be found in the Creditor Reporting System (CRS) database. Collecting data on private philanthropy for development is work in progress, which may explain break in series for some foundations.
  • R
    • March 2010
      Source: International Institute for Applied Systems Analysis
      Uploaded by: Knoema
      Accessed On: 31 October, 2013
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      Using demographic multi-state, cohort-component methods, projections for 120 countries (covering 93% of the world population in 2005) by five-year age groups, sex, and four levels of educational attainment for the years 2005-2050 are produced. Taking into account differentials in fertility and mortality by education level, the first systematic global educational attainment projections according to four widely differing education scenarios are presented. The results show the possible range of future educational attainment trends around the world, thereby contributing to long-term economic and social planning at the national and international levels, and to the assessment of the feasibility of international education goals. Samir KC et al., Projection of populations by level of educational attainment, age, and sex for 120 countries for 2005-2050, Demographic Research, 22(15), P. 383-472, 16 March 2010: http://www.demographic-research.org/Volumes/Vol22/15/.
  • S
    • September 2019
      Source: Social Progress Imperative
      Uploaded by: Knoema
      Accessed On: 14 October, 2019
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        Data cited at: Social Progress Index https://www.socialprogress.org/download The Social Progress Index is a new way to define the success of our societies. It is a comprehensive measure of real quality of life, independent of economic indicators. The Social Progress Index is designed to complement, rather than replace, economic measures such as GDP. Each year, Social Progress Imperative conducts a comprehensive review of all indicators included in the Social Progress Index framework to check data updates (which frequently include retroactive revisions) and whether new indicators have been published that are well-suited to describing social progress concepts. Such a review necessitates a recalculation of previously published versions of the Social Progress Index, as any removal or additions of indicators to the framework or changes due to retroactive revisions in data from the original data sources prevent comparability between previously published versions of the Social Progress Index and the 2019 Social Progress Index. Therefore, using the 2019 Social Progress Index framework and methodology, we provide comparable historical data for additional five years of the Social Progress Index, from 2014 to 2018.
    • June 2019
      Source: Sustainable Development Solutions Network
      Uploaded by: Knoema
      Accessed On: 09 July, 2019
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      Data Cited at - Sachs, J., Schmidt-Traub, G., Kroll, C., Lafortune, G., Fuller, G. (2019): Sustainable Development Report 2019. New York: Bertelsmann Stiftung and Sustainable Development Solutions Network (SDSN). The 2019 SDG Index and Dashboards report presents a revised and updated assessment of countries’ distance to achieving the Sustainable Development Goals (SDGs). It includes detailed SDG Dashboards to help identify implementation priorities for the SDGs. The report also provides a ranking of countries by the aggregate SDG Index of overall performance.
  • T
    • November 2015
      Source: Save the Children Federation
      Uploaded by: Knoema
      Accessed On: 07 December, 2015
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    • December 2015
      Source: United Nations Statistics Division
      Uploaded by: Knoema
      Accessed On: 19 August, 2017
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      Data cited at: United Nations Statistics Division https://unstats.un.org/home/ Publication: https://unstats.un.org/unsd/gender/worldswomen.html License: https://creativecommons.org/licenses/by-nc/4.0/   The World’s Women 2015 comprises eight chapters covering critical areas of policy concern: population and families, health, education, work, power and decision-making, violence against women, environment, and poverty. In each area, a life-cycle approach is introduced to reveal the experiences of women and men during different periods of life—from childhood and the formative years, through the working and reproductive stages, to older ages. The statistics and analyses presented in the following pages are based on a comprehensive and careful assessment of a large set of available data from international and national statistical agencies. Each chapter provides an assessment of gaps in gender statistics, highlighting progress in the availability of statistics, new and emerging methodological developments, and areas demanding further attention from the international community
  • U
  • W
    • October 2019
      Source: World Bank
      Uploaded by: Knoema
      Accessed On: 16 October, 2019
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      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
    • August 2018
      Source: Scimago Journal & Country Rank
      Uploaded by: Knoema
      Accessed On: 16 August, 2018
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      Restrictions apply: https://www.scimagojr.com/aboutus.php   Citation: SCImago, (n.d.). SJR — SCImago Journal & Country Rank [Portal]. Retrieved Date you Retrieve, from http://www.scimagojr.com   SCImago Journal Rank: It expresses the average number of weighted citations received in the selected year by the documents published in the selected journal in the three previous years, --i.e. weighted citations received in year X to documents published in the journal in years X-1, X-2 and X-3. H Index: The h index expresses the journal's number of articles (h) that have received at least h citations. It quantifies both journal scientific productivity and scientific impact and it is also applicable to scientists, countries, etc. Total Documents: Output of the selected period. All types of documents are considered, including citable and non citable documents. Total Cites (3years): Number of citations received in the seleted year by a journal to the documents published in the three previous years, --i.e. citations received in year X to documents published in years X-1, X-2 and X-3. All types of documents are considered. Self Cites: Number of journal's self-citations in the selected year to its own documents published in the three previous years, --i.e. self-citations in year X to documents published in years X-1, X-2 and X-3. All types of documents are considered. Cited Documents: Number of documents cited at least once in the three previous years, --i.e. years X-1, X-2 and X-3 Cites per Document (2 years): Average citations per document in a 2 year period. It is computed considering the number of citations received by a journal in the current year to the documents published in the two previous years, --i.e. citations received in year X to documents published in years X-1 and X-2.

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