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Cabo Verde

  • Presidente:Jorge Carlos Fonseca
  • Primer Ministro:Ulisses Correia e Silva
  • Capital:Praia
  • Idiomas:Portuguese (official), Crioulo (a blend of Portuguese and West African words)
  • Gobierno
  • Instituto Nacional de Estadística
  • Población, personas:543.767 (2018)
  • Área, km2:4.030
  • PIB per cápita, US$:3.654 (2018)
  • PIB, mil millones US$:2,0 (2018)
  • Índice de GINI:No data
  • Ranking de Facilidad para Hacer Negocios:131
Todos los conjuntos de datos:  A B C D F G H I M N P S T U W
  • A
    • octubre 2019
      Fuente: World Bank
      Subido por: Knoema
      Acceso el: 16 octubre, 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
    • diciembre 2011
      Fuente: African Development Bank Group
      Subido por: Knoema
      Seleccionar base de datos
      Africa Millennium Development Goals
    • enero 2019
      Fuente: Mo Ibrahim Foundation
      Subido por: Knoema
      Acceso el: 21 enero, 2019
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      Data cited at: Mo Ibrahim Foundation - http://mo.ibrahim.foundation/iiag/downloads/ Ibrahim Index of African Governance (IIAG) - is comprehensive statistical tool assessing African countries' performance in provision of public goods and services. Consisting of 133 variables derived from 32 independent sources IIAG measures governance performance across 4 pillars: Safety and Rule of Law, Participation and Human Rights, Sustainable Economic Opportunity and Human Development. All-embracing nature of the index makes it fairly the best instrument for setting long-term political, social and economical goals concerning the African region.
  • B
  • C
    • diciembre 2018
      Fuente: Institute for Health Metrics and Evaluation
      Subido por: Knoema
      Acceso el: 02 enero, 2019
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      Data cited: Global Burden of Disease Collaborative Network. Global Burden of Disease Study 2016 (GBD 2016) Cancer Incidence, Mortality, Years of Life Lost, Years Lived with Disability, and Disability-Adjusted Life Years 1990-2016. Seattle, United States: Institute for Health Metrics and Evaluation (IHME), 2018.   The Global Burden of Disease Study 2016 (GBD 2016), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors for 195 countries and territories and at the subnational level for a subset of countries. Estimates for deaths, disability-adjusted life years (DALYs), years lived with disability (YLDs), years of life lost (YLLs), prevalence, and incidence for 29 cancer groups by age and sex for 1990-2016 are available from the GBD Results Tool. Files available in this record are the web tables published in JAMA Oncology in June 2018 in "Global, Regional, and National Cancer Incidence, Mortality, Years of Life Lost, Years Lived With Disability, and Disability-Adjusted Life-years for 29 Cancer Groups, 1990 to 2016."
    • abril 2018
      Fuente: Organisation for Economic Co-operation and Development
      Subido por: Knoema
      Acceso el: 21 mayo, 2018
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      Note: CPA data for 2018 and 2019 are projections from the 2016 Survey on Forward Spending Plans. Country Programmable Aid (CPA), outlined in our Development Brief  and also known as “core” aid, is the portion of aid donors programme for individual countries, and over which partner countries could have a significant say. CPA is much closer than ODA to capturing the flows of aid that goes to the partner country, and has been proven in several studies to be a good proxy of aid recorded at country level. CPA was developed in 2007 in close collaboration with DAC members. It is derived on the basis of DAC statistics and was retroactively calculated from 2000 onwards
    • julio 2016
      Fuente: Organisation for Economic Co-operation and Development
      Subido por: Knoema
      Acceso el: 29 julio, 2016
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      Country Programmable Aid (CPA), outlined in our Development Brief  and also known as “core” aid, is the portion of aid donors programme for individual countries, and over which partner countries could have a significant say. CPA is much closer than ODA to capturing the flows of aid that goes to the partner country, and has been proven in several studies to be a good proxy of aid recorded at country level. CPA was developed in 2007 in close collaboration with DAC members. It is derived on the basis of DAC statistics and was retroactively calculated from 2000 onwards
  • D
    • agosto 2018
      Fuente: International Labour Organization
      Subido por: Knoema
      Acceso el: 31 agosto, 2018
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      Este indicador transmite, en cierta medida, una imagen de la disponibilidad de servicios de salud. Representa el porcentaje de la población sin acceso a servicios de salud debido a la falta de personal sanitario. El umbral para tener un personal sanitario suficiente es de 41,1 trabajadores de salud por cada 10'000 habitantes. Cuanto mayor es el valor de este indicador, peor es la disponibilidad. Es necesario resaltar que este indicador se concentra en la oferta de disponibilidad, es decir, que la disponibilidad de recursos humanos alcance un nivel tal que garantice un acceso al menos básico pero universal. Para estimar el acceso a los servicios de profesionales médicos cualificados (médicos, personal de enfermería y partería), se utiliza como proxy la diferencia relativa entre la densidad de estos trabajadores de la salud en un país determinado (su número por cada 10'000 habitantes) y su valor medio en los países con un bajo grado de vulnerabilidad (definida de acuerdo con la estructura del empleo y los niveles de pobreza).Para establecer si un país está gastando suficiente o tiene personal de salud suficiente, es necesario primero definir lo que constituye suficiente, es decir, establecer un umbral con el cual comparar el desempeño de cada país. Hay diferentes opiniones sobre lo que constituye suficiente en estos contextos, sobre todo visto que es probable que sea un objetivo móvil, fuertemente influenciado por los problemas de salud que prevalecen, la demografía, etc. El enfoque de la OIT para medir el déficit financiero es: (i) calcular la mediana de gasto en la salud (excluyendo POO) en los países de bajo de vulnerabilidad; (ii) comparar el gasto de cada país con este valor mediano. En el 2014, la mediana de los países de baja vulnerabilidad fue de US$ 239. Por ejemplo, un país con un gasto 50% menor que la mediana de los países de baja vulnerabilidad tiene un déficit financiero de 50%. El mismo principio se aplica al indicador de déficit de acceso del personal, para el cual la mediana de los países de baja vulnerabilidad fue de 41,1 en el 2014. Este es uno de los cinco indicadores que miden dimensiones clave de los déficits en acceso y la cobertura de la atención médica. Para fines de análisis el conjunto completo de indicadores se debe considerar juntos.
    • noviembre 2018
      Fuente: International Labour Organization
      Subido por: Knoema
      Acceso el: 21 noviembre, 2018
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      Este indicador transmite, en cierta medida, una imagen de los derechos a la seguridad social y la salud. Representa el porcentaje de la población sin cobertura legal de la salud. La población cubierta corresponde a los miembros afiliados al sistema de seguro médico o a una estimación de la población que tiene acceso gratuito a los servicios de salud proporcionados por el Estado. Cuanto mayor es el valor de este indicador, mayor es el porcentaje de la población sin cobertura legal de la salud. Este es uno de los cinco indicadores que miden dimensiones clave de los déficits en acceso y la cobertura de la atención médica. Para fines de análisis el conjunto completo de indicadores se debe considerar juntos.
    • abril 2019
      Fuente: Institute for Health Metrics and Evaluation
      Subido por: Knoema
      Acceso el: 14 junio, 2019
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      This 10th edition of the Institute for Health Metrics and Evaluation’s annual Financing Global Health report provides the most up-to-date estimates of development assistance for health, domestic spending on health, health spending on two key infectious diseases – malaria and HIV/AIDS – and future scenarios of health spending. Several transitions in global health financing inform this report: the influence of economic development on the composition of health spending; the emergence of other sources of development assistance funds and initiatives; and the increased availability of disease-specific funding data for the global health community. For funders and policymakers with sights on achieving 2030 global health goals, these estimates are of critical importance. They can be used for identifying funding gaps, evaluating the allocation of scarce resources, and comparing funding across time and countries.
    • diciembre 2008
      Fuente: Institute for Health Metrics and Evaluation
      Subido por: Peter Speyer
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      IHME research, published in the Lancet in 2008. The study, Tracking progress towards universal childhood immunizations and the impact of global initiatives, provides estimates with confidence intervals of the coverage of three-dose diphtheria, tetanus, and pertussis (DTP3) vaccination. The estimates take into account all publicly available data, including data from routine reporting systems and nationally representative surveys.
  • F
  • G
    • agosto 2018
      Fuente: International Labour Organization
      Subido por: Knoema
      Acceso el: 31 agosto, 2018
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      Este indicador transmite, en cierta medida, una imagen de la protección financiera en caso de enfermedad. Representa el monto de dinero pagado directamente a los proveedores de salud a cambio de bienes y servicios de salud como porcentaje del total del gasto en salud. Cuanto mayor es el valor de este indicador, mayor es el porcentaje de pagos directos. Este es uno de los cinco indicadores que miden dimensiones clave de los déficits en acceso y la cobertura de la atención médica. Para fines de análisis el conjunto completo de indicadores se debe considerar juntos.
    • julio 2019
      Fuente: International Labour Organization
      Subido por: Knoema
      Acceso el: 01 agosto, 2019
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      Descripción no disponible
    • septiembre 2014
      Fuente: International Labour Organization
      Subido por: Knoema
      Acceso el: 31 agosto, 2018
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      Descripción no disponible
    • julio 2019
      Fuente: International Labour Organization
      Subido por: Knoema
      Acceso el: 01 agosto, 2019
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      Descripción no disponible
    • julio 2019
      Fuente: International Labour Organization
      Subido por: Knoema
      Acceso el: 01 agosto, 2019
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      Descripción no disponible
    • septiembre 2014
      Fuente: International Labour Organization
      Subido por: Knoema
      Acceso el: 31 agosto, 2018
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      Descripción no disponible
    • septiembre 2017
      Fuente: Institute for Health Metrics and Evaluation
      Subido por: Knoema
      Acceso el: 08 noviembre, 2017
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      The Global Burden of Disease Study 2015 (GBD 2015), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors at the global, regional, national, territorial, and, for a subset of countries, subnational level. As part of this study, estimates for daily smoking prevalence and smoking-attributable mortality and disease burden, as measured by disability-adjusted life years (DALYs), were produced by sex, age group, and year for 195 countries and territories. Estimates for deaths and DALYs (1990-2015) are available from the GBD Results Tool. Files available in this record include daily smoking prevalence (1980-2015) and annualized rate of change estimates. Study results were published in The Lancet in April 2017 in "Smoking prevalence and attributable disease burden in 195 countries and territories, 1990–2015: a systematic analysis from the Global Burden of Disease Study 2015." Date ranges have been considered as follows: 1990-2015 as 1990 1990-2005 as 2005 2005-2015 as 2015
    • septiembre 2017
      Fuente: Institute for Health Metrics and Evaluation
      Subido por: Knoema
      Acceso el: 27 octubre, 2017
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      The Global Burden of Disease Study 2015 (GBD 2015), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors at the global, regional, national, territorial, and, for a subset of countries, subnational level. This dataset measures progress towards the Millennium Development Goal 5 (MDG 5) target of a 75% reduction in the maternal mortality ratio between 1990 and 2015. Maternal mortality ratio estimates for 21 regions, 195 countries and territories and 4 United Kingdom subnational units for 1990-2015 (quinquennial) are available by age and cause from the GBD Results Tool. Files available in this record include tables published in The Lancet in October 2016 in "Global, regional, and national levels of maternal mortality, 1990–2015: a systematic analysis for the Global Burden of Disease Study 2015.
    • marzo 2019
      Fuente: Institute for Health Metrics and Evaluation
      Subido por: Knoema
      Acceso el: 29 agosto, 2019
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      Data cited at: Global Burden of Disease Collaborative Network. Global Burden of Disease Study 2017 (GBD 2017) Health-related Sustainable Development Goals (SDG) Indicators 1990-2030. Seattle, United States: Institute for Health Metrics and Evaluation (IHME), 2018.   The Global Burden of Disease Study 2017 (GBD 2017), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors from 1990 to 2017. The United Nations established, in September 2015, the Sustainable Development Goals (SDGs), which specify 17 universal goals, 169 targets, and 232 indicators leading up to 2030. Drawing from GBD 2017, this dataset provides estimates on progress for 41 health-related SDG indicators for 195 countries and territories from 1990 to 2017, and projections, based on past trends, for 2018 to 2030. Estimates are also included for the health-related SDG index, a summary measure of overall performance across the health-related SDGs.
    • octubre 2019
      Fuente: World Bank
      Subido por: Knoema
      Acceso el: 04 octubre, 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/
    • mayo 2019
      Fuente: Institute for Health Metrics and Evaluation
      Subido por: Knoema
      Acceso el: 18 septiembre, 2019
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      Research by the Global Burden of Disease Health Financing Collaborator Network produced retrospective national health spending estimates for 1995-2016 for 184 countries. The estimates cover total health spending, and health spending disaggregated by source into government spending, out-of-pocket, prepaid private, and development assistance for health. National health spending by source, including development assistance for health, was estimated based on a diverse set of data, including program reports, budget data, national estimates, and 964 National Health Accounts. The resulting estimates were used to help produce forecasted health spending estimates for 2015-2040. Results of the study were published in The Lancet in April 2017 in "Evolution and patterns of global health financing 1995–2016: development assistance for health, and government, prepaid private, and out-of-pocket health spending in 184 countries."
    • mayo 2019
      Fuente: Institute for Health Metrics and Evaluation
      Subido por: Knoema
      Acceso el: 27 agosto, 2019
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      Research by the Global Burden of Disease Health Financing Collaborator Network produced projected health spending estimates for 2017-2050 for 195 countries and territories. The estimates cover total health spending, and health spending disaggregated by source into three domestic financing source categories (government, out-of-pocket, and prepaid private) and development assistance for health (DAH). Retrospective health spending estimates for 1995-2016 and key covariates (including GDP per capita, total government spending, total fertility rate, and fraction of the population older than 65 years) were used to forecast GDP and health spending through 2050. Estimates are reported in constant 2018 US dollars, constant 2018 purchasing-power parity-adjusted (PPP) dollars, and as a percent of gross domestic product.
    • mayo 2018
      Fuente: World Health Organization
      Subido por: Knoema
      Acceso el: 12 diciembre, 2018
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      Global Trends in Prevalence of Tobacco Smoking 2000-2025
  • H
    • septiembre 2019
      Fuente: World Bank
      Subido por: Knoema
      Acceso el: 25 septiembre, 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.
    • julio 2019
      Fuente: Organisation for Economic Co-operation and Development
      Subido por: Knoema
      Acceso el: 02 julio, 2019
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    • diciembre 2018
      Fuente: Institute for Health Metrics and Evaluation
      Subido por: Knoema
      Acceso el: 26 diciembre, 2018
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      Global Burden of Disease Study 2016 (GBD 2016) Healthcare Access and Quality Index Based on Amenable Mortality 1990–2016. Global Burden of Disease Study 2016 (GBD 2016) estimates were used in an analysis of personal healthcare access and quality for 195 countries and territories, as well as selected subnational locations, over time. This dataset includes the following global, regional, national, and selected subnational estimates for 1990-2016: age-standardized risk-standardized death rates from 24 non-cancer causes considered amenable to healthcare; age-standardized mortality-to-incidence ratios for 8 cancers considered amenable to healthcare; and the Healthcare Access and Quality (HAQ) Index and individual scores for each of the 32 causes on a scale of 0 to 100. Code used to produce the estimates is also included. Results were published in The Lancet in May 2018 in "Measuring performance on the Healthcare Access and Quality Index for 195 countries and territories and selected subnational locations: a systematic analysis from the Global Burden of Disease Study 2016
    • agosto 2018
      Fuente: United Nations Development Programme
      Subido por: Knoema
      Acceso el: 20 diciembre, 2018
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      The Human Development Index (HDI) is a summary measure of achievements in three key dimensions of human development: a long and healthy life, access to knowledge and a decent standard of living. The HDI is the geometric mean of normalized indices for each of the the three dimensions.
  • I
    • septiembre 2019
      Fuente: World Bank
      Subido por: Knoema
      Acceso el: 25 septiembre, 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.
    • diciembre 2010
      Fuente: Institute for Health Metrics and Evaluation
      Subido por: Knoema
      Acceso el: 31 julio, 2013
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      IHME research, published online in The Lancet in April 2010, with data from a global assessment of levels and trends in maternal mortality for the years 1980-2008. The study, Maternal mortality for 181 countries, 1980-2008: a systematic analysis of progress towards Millennium Development Goal 5, provides global, regional, and national level estimates of the maternal mortality ratio (MMR - the number of maternal deaths per 100,000 live births) as well as the number of maternal deaths.
    • septiembre 2011
      Fuente: Institute for Health Metrics and Evaluation
      Subido por: Knoema
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      IHME results data from global analysis of maternal mortality for years 1990-2011 published online in The Lancet in September 2011. The study, Progress towards Millennium Development Goals 4 and 5 on maternal and child mortality: an updated systematic analysis, provides global and country level estimates of the maternal mortality ratio (MMR - the number of maternal deaths per 100,000 live births) and the number of maternal deaths.
    • diciembre 2010
      Fuente: Institute for Health Metrics and Evaluation
      Subido por: Knoema
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      IHME results from paper, Public financing of health in developing countries: a cross-national systematic analysis published in The Lancet in April 2010. This dataset provides estimates on domestically financed government health expenditures in developing countries and development assistance for health (DAH) to governmental and non-governmental recipients from 1995 to 2006.
  • M
    • marzo 2019
      Fuente: World Bank
      Subido por: Knoema
      Acceso el: 20 marzo, 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.
  • N
    • febrero 2019
      Fuente: World Health Organization
      Subido por: Knoema
      Acceso el: 08 febrero, 2019
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      National Health Accounts (NHA) provides evidence to monitor trends in health spending for all sectors- public and private, different health care activities, providers, diseases, population groups and regions in a country. It helps in developing nationals
    • diciembre 2018
      Fuente: Ministry of Health, Cabo Verde
      Subido por: Knoema
      Acceso el: 12 julio, 2019
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      Data cited at: https://caboverde.opendataforafrica.org/iahoycc Overall, the number of births attended by qualified professionals (doctors and nurses) in health structures has been decreasing since 2011, as shown in table 3.5. Between 2013 and 2015, there was a slight annual decrease of 0.7%, going from 9,745 to 9,602. It can be verified that this decrease is not registered in all the counties. It is clear that the councils with the most assistance of health professionals are those where there are central and regional hospitals.
  • P
  • S
    • septiembre 2019
      Fuente: Social Progress Imperative
      Subido por: Knoema
      Acceso el: 14 octubre, 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.
    • febrero 2015
      Fuente: World Life Expectancy
      Subido por: Knoema
      Acceso el: 07 mayo, 2015
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    • junio 2019
      Fuente: Sustainable Development Solutions Network
      Subido por: Knoema
      Acceso el: 09 julio, 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
    • agosto 2018
      Fuente: International Labour Organization
      Subido por: Knoema
      Acceso el: 31 agosto, 2018
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      Este indicador transmite, en cierta medida, una imagen de los resultados del sistema de salud. Representa el número de muertes maternas por cada 10'000 nacidos vivos. Cuanto mayor es el valor de este indicador, peores son los resultados representados. Este es uno de los cinco indicadores que miden dimensiones clave de los déficits en acceso y la cobertura de la atención médica. Para fines de análisis el conjunto completo de indicadores se debe considerar juntos.
    • diciembre 2015
      Fuente: United Nations Statistics Division
      Subido por: Knoema
      Acceso el: 19 agosto, 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
    • diciembre 2015
      Fuente: World Health Organization
      Subido por: Knoema
      Acceso el: 15 septiembre, 2017
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    • octubre 2015
      Fuente: Joint United Nations Programme on HIV/AIDS
      Subido por: Knoema
      Acceso el: 26 febrero, 2016
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      UNAIDS was mandated by the UN General Assembly to monitor progress on global AIDS response in the 2001 General Assembly Special Session on HIV and AIDS, and reaffirmed in the 2011 High Level Meeting. The Global AIDS Response Progress Reporting data consists of 30 indicators, divided by 10 global targets, which are reported by participating countries on their national response to HIV/AIDS. Data used to be reported every second year from 2004 until 2012, However, starting 2013, data are collected every year to enable effective monitoring towards Millennium Development Goals of 2015. Collected data are published as part of the Global Report on AIDS. In 2014, 180 out of 193 UN member states (171 in 2013) submitted their reports.
    • noviembre 2018
      Fuente: DevInfo
      Subido por: Knoema
      Acceso el: 05 diciembre, 2018
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      This database contains country-reported GAM data. For HIV epidemiological estimates, as well as ART and PMTCT indicators
    • julio 2019
      Fuente: Joint United Nations Programme on HIV/AIDS
      Subido por: Knoema
      Acceso el: 13 agosto, 2019
      Seleccionar base de datos
      This Dataset contains Regional and National level Data.
  • W
    • mayo 2012
      Fuente: World Health Organization
      Subido por: Knoema
      Acceso el: 01 junio, 2012
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      Body mass index (BMI) is a simple index of weight-for-height that is commonly used to classify overweight and obesity in adults. It is defined as a person's weight in kilograms divided by the square of his height in meters (kg/m2). The WHO definition is: a BMI greater than or equal to 25 is overweight a BMI greater than or equal to 30 is obesity. BMI provides the most useful population-level measure of overweight and obesity as it is the same for both sexes and for all ages of adults. However, it should be considered a rough guide because it may not correspond to the same degree of fatness in different individuals.
    • noviembre 2018
      Fuente: World Health Organization
      Subido por: Knoema
      Acceso el: 30 noviembre, 2018
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      The World malaria report 2018 draws on data from 90 countries and areas with ongoing malaria transmission. The information is supplemented by data from national household surveys and databases held by other organizations.
    • octubre 2019
      Fuente: World Bank
      Subido por: Knoema
      Acceso el: 16 octubre, 2019
      Seleccionar base de datos
      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
    • mayo 2014
      Fuente: World Health Organization
      Subido por: Knoema
      Acceso el: 18 junio, 2014
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      Includes datasets on communicable diseases, human resources for health, noncommunicable diseases and world health statistics.
    • octubre 2013
      Fuente: World Bank
      Subido por: Knoema
      Acceso el: 24 noviembre, 2014
      Seleccionar base de datos
      Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic: World Report On Disability Publication: https://datacatalog.worldbank.org/dataset/world-report-disability License: http://creativecommons.org/licenses/by/4.0/   This dataset provides the World report on disability, Technical appendix A: Estimates of disability prevalence (%) and of years of health lost due to disability (YLD), by country
    • agosto 2018
      Fuente: Wikipedia
      Subido por: Knoema
      Acceso el: 14 agosto, 2018
      Seleccionar base de datos
      Data cited at: Wikipedia https://en.wikipedia.org Topic: 2015–16 Zika virus epidemic Publication URL: https://en.wikipedia.org/wiki/2015%E2%80%9316_Zika_virus_epidemic#cite_note-deaths-22 License : https://en.wikipedia.org/wiki/Wikipedia:Text_of_Creative_Commons_Attribution-ShareAlike_3.0_Unported_License

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