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コスタリカ

  • 大統領:Carlos Alvarado Quesada
  • First Vice President:Epsy Campbell Barr
  • 首都:San José
  • 言語:Spanish (official), English
  • 政府:No data
  • 統計局
  • 人口、人:4,999,441 (2018)
  • 面積、平方キロメートル:51,060
  • 1人当たりGDP、US $:12,027 (2018)
  • GDP、現在の10億米ドル:60.1 (2018)
  • GINI指数:No data
  • ビジネスのしやすさランク:67
すべてのデータセット:  A B C D E F G H I M N O P R S T U W
  • A
    • 10月 2019
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 10 10月, 2019
      データセットを選択
      This dataset presents the average number of students in a class by type of institution.
  • B
  • C
    • 8月 2019
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 13 8月, 2019
      データセットを選択
      The country statistical profiles provide a broad selection of indicators, illustrating the demographic, economic, environmental and social developments, for all OECD members. The dataset also covers the five key partner economies with which the OECD has developed an enhanced engagement program with (Brazil, China, India, Indonesia and South Africa) ,accession countries (Colombia, Costa Rica and Lithuania) , Peru and the Russian Federation. The user can easily compare indicators across all countries. Total fertility rates - Unit of measure used: Number of children born to women aged 15 to 49
  • D
  • E
    • 12月 2015
      ソース: United Nations Development Programme
      アップロード者: Misha Gusev
      データセットを選択
      Calculated using Mean Years of Schooling and Expected Years of Schooling.
    • 8月 2019
      ソース: World Bank
      アップロード者: Knoema
      以下でアクセス: 02 8月, 2019
      データセットを選択
      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.
    • 7月 2018
      ソース: National Institute of Statistics and Censuses, Costa Rica
      アップロード者: Knoema
      以下でアクセス: 04 12月, 2018
      データセットを選択
      Education Statistics of Costa Rica
    • 10月 2019
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 04 10月, 2019
      データセットを選択
      This indicator presents internationally comparable data regarding the labour force status and the educational attainment level by the National Educational Attainment Categories (NEAC) as reported by the labour force survey (LFS) and published in OECD Education at a Glance 2017. For trend data, the Education at a Glance Database includes data from 1981 to 2016 (or years with available data).
    • 4月 2019
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 29 4月, 2019
      データセットを選択
      The nature of expenditure distinguishes between current and capital expenditure. The resource category refers to service provider (public institutions, government-dependent private institutions, and independent private institutions, i.e. both educational and other institutions). These expenditure figures are intended to represent the total cost of services provided by each type of institution, without regard to sources of funds (whether they are public or private).
    • 4月 2019
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 12 4月, 2019
      データセットを選択
      All entities that provide funds for education, either initially or as final payers, are classified as either governmental (public) sources or non-governmental (private) sources, the sole exception being "international agencies and other foreign sources", which are treated as a separate category. There are three types of financial transactions: Direct expenditure on educational institutions; Transfers to students or households and to other private entities; and Households' expenditure on education outside educational institutions.
    • 4月 2019
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 12 4月, 2019
      データセットを選択
      These indicators on expenditure on education are published in chapter C of Education at a Glance, which covers financial and human resources invested in education.They are either policy levers or provide context information on education systems, or sometimes both. For example, expenditure per student is a key policy measure that most directly affects the individual learner, as it acts as a constraint on the learning environment in schools and learning conditions in the classroom.The data set “educational finance indicators” provides the main indicators computed for three levels of education : primary, secondary and post-secondary non-tertiary levels combined; tertiary level; and primary to tertiary levels combined. Other datasets provide more breakdowns for each specific indicator.
    • 4月 2019
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 12 4月, 2019
      データセットを選択
      This dataset presents the average number of teachers by sex and age.
    • 4月 2019
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 12 4月, 2019
      データセットを選択
      This dataset presents the average number of teachers by sex and type of institution.
    • 9月 2019
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 17 9月, 2019
      データセットを選択
      Number of students enrolled in different education programmes by age and sex.
    • 5月 2019
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 21 5月, 2019
      データセットを選択
      This dataset presents the number of students enrolled in different education programmes by field and sex.
    • 4月 2019
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 12 4月, 2019
      データセットを選択
      This indicator examines the share of students by gender, programme orientation and mode of study over the total number of students.
    • 8月 2019
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 06 8月, 2019
      データセットを選択
      Number of students enrolled in different education programmes by type of institution and sex.
    • 4月 2019
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 12 4月, 2019
      データセットを選択
      Number of students by level of education, adjusted to the financial year. When financial year, school year and calendar year differs, adjustments are made to ease comparison.
    • 3月 2019
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 15 3月, 2019
      データセットを選択
      This dataset presents the number of students enrolled in different education programmes by country of origin and sex.
    • 10月 2019
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 08 10月, 2019
      データセットを選択
      Enrolment rate per age is the percentage of students enrolled in each type of institution over the total of students
  • F
    • 8月 2019
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 12 8月, 2019
      データセットを選択
      In view of the strong demand for cross-national indicators on the situation of families and children, the OECD Family Database was developed to provide cross-national indicators on family outcomes and family policies across the OECD countries, its enhanced engagement partners and EU member states. The database brings together information from various national and international databases, both from within the OECD and from external organisations. The database classifies indicators into four main dimensions: (i) structure of families, (ii) labour market position of families, (iii) public policies for families and children and (iv) child outcomes. Detailed information on the definitions, sources and methods used in the construction of the database can be found on the OECD Family Database webpage.
    • 9月 2014
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 04 10月, 2014
      データセットを選択
      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
    • 11月 2019
      ソース: World Bank
      アップロード者: Knoema
      以下でアクセス: 06 11月, 2019
      データセットを選択
      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/
    • 12月 2018
      ソース: World Economic Forum
      アップロード者: Knoema
      以下でアクセス: 28 1月, 2019
      データセットを選択
       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
    • 12月 2018
      ソース: Knowledge4All
      アップロード者: Sandeep Reddy
      以下でアクセス: 18 3月, 2019
      データセットを選択
      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).
    • 1月 2019
      ソース: INSEAD
      アップロード者: Knoema
      以下でアクセス: 12 3月, 2019
      データセットを選択
      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.
    • 11月 2019
      ソース: International Monetary Fund
      アップロード者: Knoema
      以下でアクセス: 12 11月, 2019
      データセットを選択
      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.
    • 4月 2019
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 12 4月, 2019
      データセットを選択
      This dataset contains the number of people who graduated from an education programme by field and sex.
    • 4月 2019
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 12 4月, 2019
      データセットを選択
      Graduation/entry rates represent an estimated percentage of an age group expected to graduate/enter a certain level of education at least once in their lifetime.
  • H
    • 9月 2019
      ソース: World Bank
      アップロード者: Knoema
      以下でアクセス: 25 9月, 2019
      データセットを選択
      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
    • 10月 2019
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 18 10月, 2019
      データセットを選択
      This dataset presents internationally comparable data on instruction time in full-time compulsory education. It covers primary and (lower and upper) secondary general education, but excludes pre-primary education, even if compulsory. Total number of instruction hours and the distribution of hours per subject is available either by level of education or by age.
    • 6月 2018
      ソース: Barro-Lee
      アップロード者: Knoema
      以下でアクセス: 12 12月, 2018
      データセットを選択
      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
    • 7月 2019
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 14 7月, 2019
      データセットを選択
      This dataset contains the number of people who graduated from an education programme by country of origin and sex.
    • 4月 2019
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 16 4月, 2019
      データセットを選択
      This indicator reports the percentage of students of each country of origin over the total of international students.
  • M
    • 4月 2019
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 12 4月, 2019
      データセットを選択
      This dataset contains the number of Management personnel and teacher aides in educational institutions by sex and intensity.
    • 3月 2019
      ソース: World Bank
      アップロード者: Knoema
      以下でアクセス: 20 3月, 2019
      データセットを選択
      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.
  • N
    • 10月 2019
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 08 10月, 2019
      データセットを選択
      It provides a breakdown of government expenditure according to their function. To meet this end, economic flows of expenditure must be aggregated according to the Classification of the Functions of Government (COFOG).
    • 10月 2019
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 08 10月, 2019
      データセットを選択
      This dataset presents the number of new entrants in a given programme by age and sex.
    • 4月 2019
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 12 4月, 2019
      データセットを選択
      This dataset presents the number of new entrants in a given programme by field and sex.
    • 4月 2019
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 12 4月, 2019
      データセットを選択
      This dataset contains the number of people who graduated from an education programme by age and sex.
  • O
    • 6月 2019
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 04 6月, 2019
      データセットを選択
      The OECD Science, Technology and Industry Outlook reviews key trends in STI policies and performance in OECD countries and major emerging economies. It is published every two years and draws on a unique international policy survey conducted by the OECD - with more than 45 countries involved in 2014 - and the latest OECD work on STI policy analysis and measurement. Following an overview of the recent STI global landscape, key current policy issues are discussed across a series of thematic policy profiles. Country profiles report the STI performance of individual countries and the most recent national policy developments.
  • P
    • 10月 2019
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 16 10月, 2019
      データセットを選択
      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.
    • 4月 2019
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 12 4月, 2019
      データセットを選択
      Distribution of graduates/new entrants by gender, country of origin and age as well as the proportion of each tertiary educational level over the total of first-time graduates and new entrants at tertiary level.
  • R
    • 3月 2010
      ソース: International Institute for Applied Systems Analysis
      アップロード者: Knoema
      以下でアクセス: 31 10月, 2013
      データセットを選択
      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/.
    • 7月 2019
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 14 7月, 2019
      データセットを選択
  • S
    • 8月 2019
      ソース: Scimago Institutions Rankings
      アップロード者: Knoema
      以下でアクセス: 02 9月, 2019
      データセットを選択
      The SCImago Institutions Rankings (SIR) is a classification of academic and research-related institutions ranked by a composite indicator that combines three different sets of indicators based on research performance, innovation outputs and societal impact measured by their web visibility. It provides a friendly interface that allows the visualization of any customized ranking from the combination of these three sets of indicators. Additionally, it is possible to compare the trends for individual indicators of up to six institutions. For each large sector it is also possible to obtain distribution charts of the different indicators.  
    • 8月 2019
      ソース: Scimago Institutions Rankings
      アップロード者: Knoema
      以下でアクセス: 21 10月, 2019
      データセットを選択
      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.
    • 10月 2019
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 16 10月, 2019
      データセットを選択
      The percentage of students enrolled in each type of institution over the total of students.
    • 4月 2019
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 12 4月, 2019
      データセットを選択
      This indicator shows the percentage of international students in each field of education.
    • 9月 2019
      ソース: Social Progress Imperative
      アップロード者: Knoema
      以下でアクセス: 14 10月, 2019
      データセットを選択
        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.
    • 10月 2019
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 15 10月, 2019
      データセットを選択
      Student-teacher ratio refers to the average number of students per teacher, while average class size is the average number of students in a classroom.
    • 6月 2019
      ソース: Sustainable Development Solutions Network
      アップロード者: Knoema
      以下でアクセス: 09 7月, 2019
      データセットを選択
      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
    • 10月 2019
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 15 10月, 2019
      データセットを選択
      This dataset presents internationally comparable data on (full-time) salaries of teachers and school heads in public institutions at pre-primary, primary and general (lower and upper) secondary education. Actual salaries are displayed by level of education, and data on actual salaries of teachers are also available by age and gender. Data also include other statistics related to salaries of teachers.
    • 4月 2019
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 12 4月, 2019
      データセットを選択
      This dataset presents internationally comparable data on (full-time) salaries of teachers and school heads in public institutions at pre-primary, primary and general (lower and upper) secondary education. Statutory salaries are displayed by level of education, Data also include other statistics related to salaries of teachers.
    • 10月 2019
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 15 10月, 2019
      データセットを選択
      This dataset presents internationally comparable data on teaching and working time of (full-time) teachers in public institutions at pre-primary, primary and general and vocational (lower and upper) secondary education. Data refer to formal statutory requirements and also cover actual teaching time. Teaching and working time are displayed by level of education.
    • 11月 2015
      ソース: Save the Children Federation
      アップロード者: Knoema
      以下でアクセス: 07 12月, 2015
      データセットを選択
    • 12月 2015
      ソース: United Nations Statistics Division
      アップロード者: Sandeep Reddy
      以下でアクセス: 19 8月, 2017
      データセットを選択
      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
    • 10月 2019
      ソース: World Bank
      アップロード者: Knoema
      以下でアクセス: 06 11月, 2019
      データセットを選択
      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

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