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Canadá

  • Governador Geral:Julie Payette
  • Primeiro Ministro:Justin Pierre James Trudeau
  • Capital:Ottawa
  • Línguas:English (official) 58.7%, French (official) 22%, Punjabi 1.4%, Italian 1.3%, Spanish 1.3%, German 1.3%, Cantonese 1.2%, Tagalog 1.2%, Arabic 1.1%, other 10.5% (2011 est.)
  • Governo
  • Estatísticas Nacionais Oficias
  • População, pessoas:37.058.856 (2018)
  • Área, km2:9.093.510
  • PIB per capita, US$:46.125 (2018)
  • PIB, bilhões em US$ atuais:1.709,3 (2018)
  • Índice de GINI:No data
  • Facilidade para Fazer Negócios:22
Todos os conjuntos de dados:  2 A B C D E F G H I J L M N O P Q R S T U W
  • 2
  • A
    • setembro 2014
      Fonte: Statistics Canada
      Carregamento por: Knoema
      Acesso em 19 setembro, 2018
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      Number and percentage of persons who had a regular family physician.
    • julho 2015
      Fonte: Statistics Canada
      Carregamento por: Knoema
      Acesso em 19 setembro, 2018
      Selecionar Conjunto de dados
      Access to and use of health care services, by Aboriginal identity, age group and sex, population aged 6 years and over, occasional.
    • novembro 2015
      Fonte: Statistics Canada
      Carregamento por: Knoema
      Acesso em 19 setembro, 2018
      Selecionar Conjunto de dados
      Access to and use of health care services, by Aboriginal identity, age group and sex, population aged 6 years and over, Canada, provinces and territories (occasional).
    • dezembro 2015
      Fonte: Statistics Canada
      Carregamento por: Knoema
      Acesso em 19 setembro, 2018
      Selecionar Conjunto de dados
      This table contains 704 series, with data for years 2001 - 2001 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (11 items: Canada; Newfoundland and Labrador; Nova Scotia; Prince Edward Island ...) Type of first contact service (4 items: First contact service; routine care; First contact service; health information or advice; First contact service; at least one first contact service; First contact service; immediate care for a minor health problem ...) Access and difficulties, first contact services (2 items: Accessed first contact services; Reported difficulties accessing first contact services ...) Characteristics (8 items: Number of persons; High 95% confidence interval; number of persons; Coefficient of variation; number of persons; Low 95% confidence interval; number of persons ...).
    • junho 2019
      Fonte: United Nations Economic Commission for Europe
      Carregamento por: Knoema
      Acesso em 11 junho, 2019
      Selecionar Conjunto de dados
      Source: UNECE Statistical Database, compiled from national and international (Eurostat, UN Statistics Division Demographic Yearbook, WHO European health for all database and UNICEF TransMONEE) official sources. Definition: Adolescent fertility covers live births to women aged 15-19. A live birth is the complete expulsion or extraction from its mother of a product of conception, irrespective of the duration of pregnancy, which after such separation breathes or shows any other evidence of life such as beating of the heart, pulsation of the umbilical cord or definite movement of voluntary muscles, whether or not the umbilical cord has been cut or the placenta is attached. The adolescent fertility rate is the number of live births to women aged 15-19 per 1000 women aged 15-19. General note: Data on live births come from registers, unless otherwise specified. The adolescent fertility rate is computed by UNECE secretariat. .. - data not available Country: Albania Data refer to age group 0-19. Country: Armenia Data do not cover infants born alive with less than 28 weeks gestation, less than 1000 grams in weight and 35 centimeters in length, who die within seven days of birth. Data refer to age group 0-19. Country: Azerbaijan Data do not cover infants born alive with less than 28 weeks gestation, less than 1000 grams in weight and 35 centimeters in length, who die within seven days of birth. Data refer to age group 0-19. Country: Belarus Data do not cover infants born alive with less than 28 weeks gestation, less than 1000 grams in weight and 35 centimeters in length, who die within seven days of birth. Data refer to age group 0-19. Country: Bosnia and Herzegovina 1995 : data refer to 1996. Country: Canada Data include Canadian residents temporarily in the United States, but exclude United States residents temporarily in Canada. Country: Cyprus Data cover only the area controlled by the Republic of Cyprus. Country: Estonia Data refer to age group 0-19. Country: Finland Data include nationals temporarily outside the country. Country: Georgia Data do not cover infants born alive with less than 28 weeks gestation, less than 1000 grams in weight and 35 centimeters in length, who die within seven days of birth. From 1995 : data do not cover Abkhazia and South Ossetia (Tshinvali). 1980-2003 : data refer to age group 15-20. Country: Germany 1980-1990 : data cover only West Germany (Federal Republic of Germany). From 1995 : data refer to reunified Germany, i.e. include the ex-German Democratic Republic (East Germany). Country: Ireland Data are tabulated by date of registration (rather than occurrence) and refer to births registered within one year of occurrence. 2005-2006 : provisional data. Country: Israel Data cover East Jerusalem and Israeli residents in certain other territories under occupation by Israeli military forces since June 1967. 1980 : data refer to age group 0-19. Country: Kazakhstan Data do not cover infants born alive with less than 28 weeks gestation, less than 1000 grams in weight and 35 centimeters in length, who die within seven days of birth. Data refer to age group 0-19. Country: Kyrgyzstan 1980-2003 : data do not cover infants born alive with less than 28 weeks gestation, less than 1000 grams in weight and 35 centimeters in length, who die within seven days of birth. Country: Latvia Data refer to age group 0-19. Country: Malta Data refer to age group 0-19. Country: Netherlands Data refer to age group 0-19. Country: Norway Age classification is based on year of birth of mother rather than the exact age of mother at birth of child. Country: Poland 1980 : data refer to age group 0-19. Country: Portugal Data refer to resident mothers. Country: Russian Federation Data do not cover infants born alive with less than 28 weeks gestation, less than 1000 grams in weight and 35 centimeters in length, who die within seven days of birth. Data refer to age group 0-19. Country: Serbia Data do not cover Kosovo and Metohija. Data are tabulated by date of registration (rather than occurrence). Country: Turkey 1980-2000: data source is population censuses. From 2001: data are from administrative source. Country: Turkmenistan Data do not cover infants born alive with less than 28 weeks gestation, less than 1000 grams in weight and 35 centimeters in length, who die within seven days of birth. Data refer to age group 0-19. Country: Ukraine Data do not cover infants born alive with less than 28 weeks gestation, less than 1000 grams in weight and 35 centimeters in length, who die within seven days of birth. 2000 : data refer to 1998. 1990 : data refer to age group 0-19. Country: United Kingdom Data are tabulated by date of occurrence for England and Wales and by date of registration for Northern Ireland and Scotland. Country: United States 2000 : data refer to 1999. Country: Uzbekistan Data refer to age group 18-19.
    • junho 2014
      Fonte: Statistics Canada
      Carregamento por: Knoema
      Acesso em 19 setembro, 2018
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      Adults with and without disabilities, by age group and sex, occasional.
    • junho 2014
      Fonte: Statistics Canada
      Carregamento por: Knoema
      Acesso em 19 setembro, 2018
      Selecionar Conjunto de dados
      Adults with disabilities, by severity, age group and sex, occasional.
    • junho 2014
      Fonte: Statistics Canada
      Carregamento por: Knoema
      Acesso em 19 setembro, 2018
      Selecionar Conjunto de dados
      Adults with disabilities, by type, age group and sex, occasional.
    • fevereiro 2012
      Fonte: Statistics Canada
      Carregamento por: Knoema
      Acesso em 19 setembro, 2018
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      Five-year relative survival ratios for all cancers for 1 year of cases from 1992 to 2003, by sex, for selected provinces.
    • novembro 2005
      Fonte: Disabled World
      Carregamento por: Prashanth BK Kumar
      Acesso em 27 janeiro, 2016
      Selecionar Conjunto de dados
    • janeiro 2018
      Fonte: Statistics Canada
      Carregamento por: Knoema
      Acesso em 19 setembro, 2018
      Selecionar Conjunto de dados
      This table contains 3900 series, with data for years 2016 - 2016 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (13 items: Canada; Atlantic provinces; Newfoundland and Labrador; Prince Edward Island; ...);  Age group (10 items: Total, 15 years and over; 15 to 24 years; 25 to 54 years; 25 to 34 years; ...);  Sex (3 items: Both sexes; Males; Females);  Satisfaction with life and with selected domains of life (10 items: Life as a whole; Standard of living; Health; Achievement in life; ...).
  • B
    • dezembro 2014
      Fonte: Statistics Canada
      Carregamento por: Knoema
      Acesso em 24 setembro, 2018
      Selecionar Conjunto de dados
      Barriers in the workplace for adults with disabilities, by age group, occasional.
    • dezembro 2015
      Fonte: Statistics Canada
      Carregamento por: Knoema
      Acesso em 19 setembro, 2018
      Selecionar Conjunto de dados
      This table contains 264 series, with data for years 2001 - 2001 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (11 items: Canada; Newfoundland and Labrador; Prince Edward Island; Nova Scotia ...) Time of day, accessing health information or advice (3 items: Accessing health information or advice during regular office hours; Accessing health information or advice during the middle of the night; Accessing health information or advice during evenings and weekends ...) Characteristics (8 items: Number of persons; Low 95% confidence interval; number of persons; Coefficient of variation; number of persons; High 95% confidence interval; number of persons ...).
    • dezembro 2015
      Fonte: Statistics Canada
      Carregamento por: Knoema
      Acesso em 19 setembro, 2018
      Selecionar Conjunto de dados
      This table contains 264 series, with data for years 2001 - 2001 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (11 items: Canada; Prince Edward Island; Nova Scotia; Newfoundland and Labrador ...) Time of day, accessing immediate care for a minor health problem (3 items: Accessing immediate care for a minor health problem during regular office hours; Accessing immediate care for a minor health problem during evenings and weekends; Accessing immediate care for a minor health problem during the middle of the night ...) Characteristics (8 items: High 95% confidence interval; number of persons; Number of persons; Low 95% confidence interval; number of persons; Coefficient of variation; number of persons ...).
    • dezembro 2015
      Fonte: Statistics Canada
      Carregamento por: Knoema
      Acesso em 19 setembro, 2018
      Selecionar Conjunto de dados
      This table contains 176 series, with data for years 2001 - 2001 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (11 items: Canada; Prince Edward Island; Nova Scotia; Newfoundland and Labrador ...) Time of day, accessing routine or on-going care (2 items: Accessing routine or on-going care during regular office hours; Accessing routine or on-going care during evenings and weekends ...) Characteristics (8 items: Number of persons; Low 95% confidence interval; number of persons; Coefficient of variation; number of persons; High 95% confidence interval; number of persons ...).
    • outubro 2018
      Fonte: Statistics Canada
      Carregamento por: Knoema
      Acesso em 08 maio, 2019
      Selecionar Conjunto de dados
      This table contains 13770 series, with data for years 2000/2002 - 2010/2012 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (153 items: Canada; Newfoundland and Labrador; Census metropolitan areas and census agglomerations, Newfoundland and Labrador; Census metropolitan areas, Newfoundland and Labrador; ...);  Sex (3 items: Both sexes; Males; Females);  Indicators (5 items: Low birth weight (less than 2,500 grams); Small for gestational age; Pre-term births; High birth weight (4,500 grams or more); ...);  Characteristics (6 items: Number; Low 95% confidence interval, number; High 95% confidence interval, number; Percent; ...).
    • julho 2012
      Fonte: Multiple Sources
      Carregamento por: Carpe Facto
      Selecionar Conjunto de dados
      Allowable limit for alcohol for countries across the world.
    • julho 2008
      Fonte: Statistics Canada
      Carregamento por: Knoema
      Acesso em 19 setembro, 2018
      Selecionar Conjunto de dados
      Body mass index (BMI), by sex, household population aged 18 and over excluding pregnant females, Canada, provinces and territories.
    • abril 2007
      Fonte: Statistics Canada
      Carregamento por: Knoema
      Acesso em 19 setembro, 2018
      Selecionar Conjunto de dados
      Breastfeeding practices, by age group of mothers, recent mothers aged 15 to 49, Canada and provinces.
  • C
    • maio 2015
      Fonte: Statistics Canada
      Carregamento por: Knoema
      Acesso em 19 setembro, 2018
      Selecionar Conjunto de dados
      Canada and Quebec pension plan benefits of adults with and without disabilities by age group and sex, Canada, provinces and territories, occasional (number unless otherwise noted).
    • junho 2019
      Fonte: Statistics Canada
      Carregamento por: Knoema
      Acesso em 27 junho, 2019
      Selecionar Conjunto de dados
      Canadian health characteristics, annual estimates, by age group and sex, Canada (excluding territories) and provinces.
    • junho 2018
      Fonte: Statistics Canada
      Carregamento por: Knoema
      Acesso em 19 fevereiro, 2019
      Selecionar Conjunto de dados
      Canadian health characteristics, two-year period estimates, by age group and sex, Canada, provinces, territories, census metropolitan areas and population centres.
    • dezembro 2018
      Fonte: Institute for Health Metrics and Evaluation
      Carregamento por: Knoema
      Acesso em 02 janeiro, 2019
      Selecionar Conjunto de dados
      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."
    • março 2014
      Fonte: Statistics Canada
      Carregamento por: Knoema
      Acesso em 19 setembro, 2018
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      Population aged 15 and older receiving federal tax credits for providing care to relatives or friends with a long-term illness, disability or aging needs, 2012.
    • março 2014
      Fonte: Statistics Canada
      Carregamento por: Knoema
      Acesso em 19 setembro, 2018
      Selecionar Conjunto de dados
      Population aged 15 and older receiving financial support from family or friends for providing care to relatives or friends with a long-term illness, disability or aging needs, 2012.
    • março 2014
      Fonte: Statistics Canada
      Carregamento por: Knoema
      Acesso em 19 setembro, 2018
      Selecionar Conjunto de dados
      Population aged 15 and older receiving financial support from government programs for providing care to relatives or friends with a long-term illness, disability or aging needs, 2012.
    • maio 2015
      Fonte: Statistics Canada
      Carregamento por: Knoema
      Acesso em 19 setembro, 2018
      Selecionar Conjunto de dados
      Child tax benefits of adults with and without disabilities by age group and sex, Canada, provinces and territories, occasional (number unless otherwise noted).
    • setembro 2019
      Fonte: United Nations Economic Commission for Europe
      Carregamento por: Knoema
      Acesso em 15 setembro, 2019
      Selecionar Conjunto de dados
      Source: UNECE Statistical Database, compiled from national and international official sources. Area data exclude overseas departments and territories. For population footnotes click here. For life expectancy footnotes click here. For fertility rate footnotes click here. For population by marital status footnotes click here. For female members of parliament footnotes click here. For female government ministers footnotes click here. For female central bank board members footnotes click here. For female tertiary students footnotes click here. For economic activity rate footnotes click here. For gender pay gap footnotes click here. For employment growth rate footnotes click here. For unemployment rate footnotes click here. For youth unemployment rate footnotes click here. For employment by economic sector footnotes click here. For economic indicator footnotes click here. For road accident footnotes click here. For total length of motorways footnotes click here. For total length of railway lines footnotes click here. Key indicators in maps .. - data not availableIndicatorGDP in agriculture (ISIC4 A): output approach, index, 2010=100If the country has not yet provided data according to ISIC 4, you may find the data according to ISIC 3.1 in more detailed tables under the Economy section of the database.GDP in industry (incl. construction) (ISIC4 B-F): output approach, index, 2010=100If the country has not yet provided data according to ISIC 4, you may find the data according to ISIC 3.1 in more detailed tables under the Economy section of the database.GDP in services (ISIC4 G-U): output approach, index, 2010=100If the country has not yet provided data according to ISIC 4, you may find the data according to ISIC 3.1 in more detailed tables under the Economy section of the database.GDP: in agriculture etc. (ISIC4 A), output approach, per cent share of GVAIf the country has not yet provided data according to ISIC 4, you may find the data according to ISIC 3.1 in more detailed tables under the Economy section of the database.GDP: in industry etc. (ISIC4 B-E), output approach, per cent share of GVAIf the country has not yet provided data according to ISIC 4, you may find the data according to ISIC 3.1 in more detailed tables under the Economy section of the database.GDP: in construction (ISIC4 F), output approach, per cent share of GVAIf the country has not yet provided data according to ISIC 4, you may find the data according to ISIC 3.1 in more detailed tables under the Economy section of the database.GDP: in trade, hospitality, transport and communication (ISIC4 G-J), output approach, per cent share of GVAIf the country has not yet provided data according to ISIC 4, you may find the data according to ISIC 3.1 in more detailed tables under the Economy section of the database.GDP: in finance and business services (ISIC4 K-N), output approach, per cent share of GVAIf the country has not yet provided data according to ISIC 4, you may find the data according to ISIC 3.1 in more detailed tables under the Economy section of the database.GDP: in public administration, education and health (ISIC4 O-Q), output approach, per cent share of GVAIf the country has not yet provided data according to ISIC 4, you may find the data according to ISIC 3.1 in more detailed tables under the Economy section of the database.GDP: in other service activities (ISIC4 R-U), output approach, per cent share of GVAIf the country has not yet provided data according to ISIC 4, you may find the data according to ISIC 3.1 in more detailed tables under the Economy section of the database.Employment in agriculture, hunting, forestry and fishing (ISIC Rev. 4 A), share of total employmentIf the country has not yet provided data according to ISIC 4, you may find the data according to ISIC 3.1 in more detailed tables under the Economy section of the database.Employment in industry and energy (ISIC Rev. 4 B-E), share of total employmentIf the country has not yet provided data according to ISIC 4, you may find the data according to ISIC 3.1 in more detailed tables under the Economy section of the database.Employment in construction (ISIC Rev. 4 F), share of total employmentIf the country has not yet provided data according to ISIC 4, you may find the data according to ISIC 3.1 in more detailed tables under the Economy section of the database.Employment in trade, hotels, restaurants, transport and communications (ISIC Rev. 4 G-J), share of total employmentIf the country has not yet provided data according to ISIC 4, you may find the data according to ISIC 3.1 in more detailed tables under the Economy section of the database.Employment in finance, real estate and business services (ISIC Rev. 4 K-N), share of total employmentIf the country has not yet provided data according to ISIC 4, you may find the data according to ISIC 3.1 in more detailed tables under the Economy section of the database.Employment in public administration, education and health (ISIC Rev. 4 O-Q), share of total employmentIf the country has not yet provided data according to ISIC 4, you may find the data according to ISIC 3.1 in more detailed tables under the Economy section of the database.Employment in other service activities (ISIC Rev. 4 R-U), share of total employmentIf the country has not yet provided data according to ISIC 4, you may find the data according to ISIC 3.1 in more detailed tables under the Economy section of the database.
    • abril 2018
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 21 maio, 2018
      Selecionar Conjunto de dados
      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
    • julho 2016
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 29 julho, 2016
      Selecionar Conjunto de dados
      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
    • agosto 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 13 agosto, 2019
      Selecionar Conjunto de dados
      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
    • maio 2018
      Fonte: United Nations Economic Commission for Europe
      Carregamento por: Knoema
      Acesso em 21 novembro, 2018
      Selecionar Conjunto de dados
      .. - data not available Source: UNECE Statistical Division Database, compiled from national and international (WHO European health for all database) official sources. Definitions: The (age-) standardized death rate (SDR) is a weighted average of age-specific mortality rates per 100 000 population. The weighting factor is the age distribution of a standard reference population. The standard reference population used is the European standard population as defined by the World Health Organisation (WHO). As method for standardisation, the direct method is applied. As most causes of death vary significantly with age and sex, the use of standardised death rates improves comparability over time and between countries. Death refers to the permanent disappearance of all evidence of life at any time after a live birth has taken place (post-natal cessation of vital functions without capability of resuscitation). This definition therefore excludes foetal deaths. Causes of death (CoD) are all diseases, morbid conditions or injuries that either resulted in or contributed to death, and the circumstances of the accident or violence that produced any such injuries. Symptoms or modes of dying, such as heart failure or asthenia, are not considered to be causes of death for vital statistics purposes. General note:: Diseases and external causes of death are coded differently in different versions of the International Classification of Diseases (ICD). For many diseases it is not possible to identify codes in different classification systems that would correspond precisely to the same disease or groups of diseases. Often the change in the trend of a certain cause-specific mortality rate may be the result of a changing ICD version or national death certification and coding practices, rather than an actual change in the mortality. It should be noted that mortality rates for some countries may be biased due to the under-registration of death cases. The basic principle of selection of the 17 CoD for presentation in the UNECE Gender Database is to include one main SDR for each of the ICD chapters and also to focus on some of the leading CoD across the European Region and some specific causes with high gender differences. ICD versionCountries9.3 - ICD-9 3-digit codes Albania, The former Yugoslav Republic of Macedonia 9.4 - ICD-9 4-digit or mixture of 3- and 4-digit codesGreece9.5 - ICD-9 BTL codes (in most countries actually original ICD-9 codes were used but the data later were converted by WHO into BTL codes) Bosnia and Herzegovina10.1 - ICD-10 mortality tabulation condensed list No1 (103 causes) Armenia, Azerbaijan, Belarus, Kazakhstan, Russian Federation, Ukraine10.3 - ICD-10 3-digit codes Belgium, Bulgaria, Estonia, Georgia, Latvia, Montenegro, Serbia, Slovakia, Slovenia, Uzbekistan10.4 - ICD-10 4-digit or mixture of 3- and 4-digit codes Austria, Canada, Croatia, Cyprus, Czech Republic, Denmark, Finland, France, Germany, Hungary, Iceland, Ireland, Israel, Italy, Kyrgyzstan, Lithuania, Luxembourg, Malta, Netherlands, Norway, Poland, Portugal, Republic of Moldova, Romania, Spain, Sweden, Switzerland, United Kingdom, United States 1.75 - Special tabulation list of 175 causes used in some ex-USSR countries Tajikistan, Turkmenistan Link to International Classification of Diseases 10th Revision Country: Canada Data on accidents include sequelae of transport and other accidents. Data on transport accidents include sequelae of transport accidents. Data on suicide and intentional self-harm include sequelae of intentional self-harm. Country: United States Data on accidents include sequelae of transport and other accidents. Data on transport accidents include sequelae of transport accidents.
    • abril 2019
      Fonte: Institute for Health Metrics and Evaluation
      Carregamento por: Knoema
      Acesso em 14 junho, 2019
      Selecionar Conjunto de dados
      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.
    • setembro 2014
      Fonte: Statistics Canada
      Carregamento por: Knoema
      Acesso em 19 setembro, 2018
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      Number and percentage of persons who had difficulties accessing health information or advice, among those who required care at any time of day.
    • setembro 2014
      Fonte: Statistics Canada
      Carregamento por: Knoema
      Acesso em 19 setembro, 2018
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      Number and percentage of persons who had difficulties accessing immediate care for a minor health problem, among those who required care at any time of day.
    • setembro 2014
      Fonte: Statistics Canada
      Carregamento por: Knoema
      Acesso em 19 setembro, 2018
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      Number and percentage of persons who had difficulties accessing routine or on-going care, among those who required care at any time of day.
    • dezembro 2008
      Fonte: Institute for Health Metrics and Evaluation
      Carregamento por: Peter Speyer
      Selecionar Conjunto de dados
      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.
  • E
    • julho 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 02 julho, 2019
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    • maio 2015
      Fonte: Statistics Canada
      Carregamento por: Knoema
      Acesso em 24 setembro, 2018
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      Employment income of adults with and without disabilities by age group and sex, Canada, provinces and territories, occasional (number unless otherwise noted).
    • setembro 2017
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 14 novembro, 2017
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    • maio 2015
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 24 maio, 2015
      Selecionar Conjunto de dados
      Eurostat Dataset Id:hlth_sha3p Data description Health care expenditure data provide information on expenditure in the functionally defined area of health distinct by provider category (e.g. hospitals, general practitioners), function category (e.g. services of curative care, rehabilitative care, clinical laboratory, patient transport, prescribed medicines) and financing agent (e.g. social security, private insurance company, household). The definitions and classifications of the System of Health Accounts (SHA) (see the annex at the bottom of the page) are followed, e.g. International Classification for Health Accounts - Providers of health care (ICHA-HP). Health care data on expenditure are largely based on surveys and administrative (register) data sources in the countries. Therefore, they reflect the country-specific way of organising health care and may not always be completely comparable. The database is based on a co-operation between EUROSTAT, the OECD (Organisation for Economic Co-Operation and Development) and the WHO (World Health Organisation), executing a Joint Questionnaire on Health expenditure since 2005. The area covered consists of EU-27 (excluding EL, IE, IT, MT, and UK), Norway, Iceland, Switzerland, Japan, USA, Australia and Korea. Classification system For all data on expenditure two sources for classifications are available: the System of Health Accounts (Manual v.1.0) as presented by the OECD in 2000 and the Guide to producing national health accounts with special application for low and middle income countries produced by WHO/Worldbank/USAID in 2003 These two manuals are complemented by the Guidelines produced for EUROSTAT by the Office for National Statistics (UK) in 2003.
    • maio 2015
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 27 julho, 2015
      Selecionar Conjunto de dados
      Eurostat Dataset Id:hlth_sha3m Data description Health care expenditure data provide information on expenditure in the functionally defined area of health distinct by provider category (e.g. hospitals, general practitioners), function category (e.g. services of curative care, rehabilitative care, clinical laboratory, patient transport, prescribed medicines) and financing agent (e.g. social security, private insurance company, household). The definitions and classifications of the System of Health Accounts (SHA) (see the annex at the bottom of the page) are followed, e.g. International Classification for Health Accounts - Providers of health care (ICHA-HP). Health care data on expenditure are largely based on surveys and administrative (register) data sources in the countries. Therefore, they reflect the country-specific way of organising health care and may not always be completely comparable. The database is based on a co-operation between EUROSTAT, the OECD (Organisation for Economic Co-Operation and Development) and the WHO (World Health Organisation), executing a Joint Questionnaire on Health expenditure since 2005. The area covered consists of EU-27 (excluding EL, IE, IT, MT, and UK), Norway, Iceland, Switzerland, Japan, USA, Australia and Korea. 3.2. Classification system For all data on expenditure two sources for classifications are available: the System of Health Accounts (Manual v.1.0) as presented by the OECD in 2000 and the Guide to producing national health accounts with special application for low and middle income countries produced by WHO/Worldbank/USAID in 2003 These two manuals are complemented by the Guidelines produced for EUROSTAT by the Office for National Statistics (UK) in 2003. 3.3. Coverage - sector Public Health
    • maio 2015
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 27 julho, 2015
      Selecionar Conjunto de dados
      Eurostat Dataset Id:hlth_sha3h Data description Health care expenditure data provide information on expenditure in the functionally defined area of health distinct by provider category (e.g. hospitals, general practitioners), function category (e.g. services of curative care, rehabilitative care, clinical laboratory, patient transport, prescribed medicines) and financing agent (e.g. social security, private insurance company, household). The definitions and classifications of the System of Health Accounts (SHA) (see the annex at the bottom of the page) are followed, e.g. International Classification for Health Accounts - Providers of health care (ICHA-HP). Health care data on expenditure are largely based on surveys and administrative (register) data sources in the countries. Therefore, they reflect the country-specific way of organising health care and may not always be completely comparable. The database is based on a co-operation between EUROSTAT, the OECD (Organisation for Economic Co-Operation and Development) and the WHO (World Health Organisation), executing a Joint Questionnaire on Health expenditure since 2005. The area covered consists of EU-27 (excluding EL, IE, IT, MT, and UK), Norway, Iceland, Switzerland, Japan, USA, Australia and Korea. 3.2. Classification system For all data on expenditure two sources for classifications are available: the System of Health Accounts (Manual v.1.0) as presented by the OECD in 2000 and the Guide to producing national health accounts with special application for low and middle income countries produced by WHO/Worldbank/USAID in 2003 These two manuals are complemented by the Guidelines produced for EUROSTAT by the Office for National Statistics (UK) in 2003. 3.3. Coverage - sector Public Health
    • maio 2015
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 27 julho, 2015
      Selecionar Conjunto de dados
      Eurostat Dataset Id:hlth_sha2p Data description Health care expenditure data provide information on expenditure in the functionally defined area of health distinct by provider category (e.g. hospitals, general practitioners), function category (e.g. services of curative care, rehabilitative care, clinical laboratory, patient transport, prescribed medicines) and financing agent (e.g. social security, private insurance company, household). The definitions and classifications of the System of Health Accounts (SHA) (see the annex at the bottom of the page) are followed, e.g. International Classification for Health Accounts - Providers of health care (ICHA-HP). Health care data on expenditure are largely based on surveys and administrative (register) data sources in the countries. Therefore, they reflect the country-specific way of organising health care and may not always be completely comparable. The database is based on a co-operation between EUROSTAT, the OECD (Organisation for Economic Co-Operation and Development) and the WHO (World Health Organisation), executing a Joint Questionnaire on Health expenditure since 2005. The area covered consists of EU-27 (excluding EL, IE, IT, MT, and UK), Norway, Iceland, Switzerland, Japan, USA, Australia and Korea.
    • maio 2015
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 27 julho, 2015
      Selecionar Conjunto de dados
      Eurostat Dataset Id:hlth_sha2m Data description Health care expenditure data provide information on expenditure in the functionally defined area of health distinct by provider category (e.g. hospitals, general practitioners), function category (e.g. services of curative care, rehabilitative care, clinical laboratory, patient transport, prescribed medicines) and financing agent (e.g. social security, private insurance company, household). The definitions and classifications of the System of Health Accounts (SHA) (see the annex at the bottom of the page) are followed, e.g. International Classification for Health Accounts - Providers of health care (ICHA-HP). Health care data on expenditure are largely based on surveys and administrative (register) data sources in the countries. Therefore, they reflect the country-specific way of organising health care and may not always be completely comparable. The database is based on a co-operation between EUROSTAT, the OECD (Organisation for Economic Co-Operation and Development) and the WHO (World Health Organisation), executing a Joint Questionnaire on Health expenditure since 2005. The area covered consists of EU-27 (excluding EL, IE, IT, MT, and UK), Norway, Iceland, Switzerland, Japan, USA, Australia and Korea. Classification system For all data on expenditure two sources for classifications are available: the System of Health Accounts (Manual v.1.0) as presented by the OECD in 2000 and the Guide to producing national health accounts with special application for low and middle income countries produced by WHO/Worldbank/USAID in 2003 These two manuals are complemented by the Guidelines produced for EUROSTAT by the Office for National Statistics (UK) in 2003.
    • maio 2015
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 27 julho, 2015
      Selecionar Conjunto de dados
      Eurostat Dataset Id:hlth_sha2h Data description Health care expenditure data provide information on expenditure in the functionally defined area of health distinct by provider category (e.g. hospitals, general practitioners), function category (e.g. services of curative care, rehabilitative care, clinical laboratory, patient transport, prescribed medicines) and financing agent (e.g. social security, private insurance company, household). The definitions and classifications of the System of Health Accounts (SHA) (see the annex at the bottom of the page) are followed, e.g. International Classification for Health Accounts - Providers of health care (ICHA-HP). Health care data on expenditure are largely based on surveys and administrative (register) data sources in the countries. Therefore, they reflect the country-specific way of organising health care and may not always be completely comparable. The database is based on a co-operation between EUROSTAT, the OECD (Organisation for Economic Co-Operation and Development) and the WHO (World Health Organisation), executing a Joint Questionnaire on Health expenditure since 2005. The area covered consists of EU-27 (excluding EL, IE, IT, MT, and UK), Norway, Iceland, Switzerland, Japan, USA, Australia and Korea.
    • maio 2015
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 27 julho, 2015
      Selecionar Conjunto de dados
      Eurostat Dataset Id:hlth_sha1p Data description Health care expenditure data provide information on expenditure in the functionally defined area of health distinct by provider category (e.g. hospitals, general practitioners), function category (e.g. services of curative care, rehabilitative care, clinical laboratory, patient transport, prescribed medicines) and financing agent (e.g. social security, private insurance company, household). The definitions and classifications of the System of Health Accounts (SHA) (see the annex at the bottom of the page) are followed, e.g. International Classification for Health Accounts - Providers of health care (ICHA-HP). Health care data on expenditure are largely based on surveys and administrative (register) data sources in the countries. Therefore, they reflect the country-specific way of organising health care and may not always be completely comparable. The database is based on a co-operation between EUROSTAT, the OECD (Organisation for Economic Co-Operation and Development) and the WHO (World Health Organisation), executing a Joint Questionnaire on Health expenditure since 2005. The area covered consists of EU-27 (excluding EL, IE, IT, MT, and UK), Norway, Iceland, Switzerland, Japan, USA, Australia and Korea. Classification system For all data on expenditure two sources for classifications are available: the System of Health Accounts (Manual v.1.0) as presented by the OECD in 2000 and the Guide to producing national health accounts with special application for low and middle income countries produced by WHO/Worldbank/USAID in 2003 These two manuals are complemented by the Guidelines produced for EUROSTAT by the Office for National Statistics (UK) in 2003.
    • maio 2015
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 27 maio, 2015
      Selecionar Conjunto de dados
      Eurostat Dataset Id:hlth_sha1m Data description Health care expenditure data provide information on expenditure in the functionally defined area of health distinct by provider category (e.g. hospitals, general practitioners), function category (e.g. services of curative care, rehabilitative care, clinical laboratory, patient transport, prescribed medicines) and financing agent (e.g. social security, private insurance company, household). The definitions and classifications of the System of Health Accounts (SHA) (see the annex at the bottom of the page) are followed, e.g. International Classification for Health Accounts - Providers of health care (ICHA-HP). Health care data on expenditure are largely based on surveys and administrative (register) data sources in the countries. Therefore, they reflect the country-specific way of organising health care and may not always be completely comparable. The database is based on a co-operation between EUROSTAT, the OECD (Organisation for Economic Co-Operation and Development) and the WHO (World Health Organisation), executing a Joint Questionnaire on Health expenditure since 2005. The area covered consists of EU-27 (excluding EL, IE, IT, MT, and UK), Norway, Iceland, Switzerland, Japan, USA, Australia and Korea. 3.2. Classification system For all data on expenditure two sources for classifications are available: the System of Health Accounts (Manual v.1.0) as presented by the OECD in 2000 and the Guide to producing national health accounts with special application for low and middle income countries produced by WHO/Worldbank/USAID in 2003 These two manuals are complemented by the Guidelines produced for EUROSTAT by the Office for National Statistics (UK) in 2003. 3.3. Coverage - sector Public Health
    • maio 2015
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 27 julho, 2015
      Selecionar Conjunto de dados
      Eurostat Dataset Id:hlth_sha1h Data description Health care expenditure data provide information on expenditure in the functionally defined area of health distinct by provider category (e.g. hospitals, general practitioners), function category (e.g. services of curative care, rehabilitative care, clinical laboratory, patient transport, prescribed medicines) and financing agent (e.g. social security, private insurance company, household). The definitions and classifications of the System of Health Accounts (SHA) (see the annex at the bottom of the page) are followed, e.g. International Classification for Health Accounts - Providers of health care (ICHA-HP). Health care data on expenditure are largely based on surveys and administrative (register) data sources in the countries. Therefore, they reflect the country-specific way of organising health care and may not always be completely comparable. The database is based on a co-operation between EUROSTAT, the OECD (Organisation for Economic Co-Operation and Development) and the WHO (World Health Organisation), executing a Joint Questionnaire on Health expenditure since 2005. The area covered consists of EU-27 (excluding EL, IE, IT, MT, and UK), Norway, Iceland, Switzerland, Japan, USA, Australia and Korea. 3.2. Classification system For all data on expenditure two sources for classifications are available: the System of Health Accounts (Manual v.1.0) as presented by the OECD in 2000 and the Guide to producing national health accounts with special application for low and middle income countries produced by WHO/Worldbank/USAID in 2003 These two manuals are complemented by the Guidelines produced for EUROSTAT by the Office for National Statistics (UK) in 2003. 3.3. Coverage - sector Public Health
  • F
    • setembro 2017
      Fonte: National Institute for Health and Welfare
      Carregamento por: Knoema
      Acesso em 16 fevereiro, 2018
      Selecionar Conjunto de dados
      In 2008, National Institute for Health and Welfare brought into use a new national system of accounting health expenditure and financing that is based on the OECD System of Health Accounts (SHA). The SHA system gathers data by function, provider and source of finance.
    • outubro 2017
      Fonte: Statistics Canada
      Carregamento por: Knoema
      Acesso em 19 setembro, 2018
      Selecionar Conjunto de dados
      This table contains 11592 series, with data for years 2005 - 2014 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (7 items: Canada; New Brunswick; Ontario; Manitoba; ...);  Casualties (2 items: Fire-related deaths; Fire-related injuries);  Age group of casualty (6 items: Total, age group of casualty; Children; Youth; Adults; ...);  Status of casualty (4 items: Total, status of casualty; Civilian; Firefighter; Unknown status of casualty);  Cause of death or injury (4 items: Total, cause of death or injury; Smoke inhalation; Burn; Unknown cause of death or injury);  Reason for non-evacuation (9 items: Total, reason for non-evacuation; Trapped by spreading fire/smoke; Building collapse/falling debris/explosion; Exit blocked, locked or obstructed; ...).
    • outubro 2017
      Fonte: Statistics Canada
      Carregamento por: Knoema
      Acesso em 19 setembro, 2018
      Selecionar Conjunto de dados
      This table contains 2484 series, with data for years 2005 - 2014 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (6 items: Canada; Ontario; Manitoba; Saskatchewan; ...);  Casualties (2 items: Fire-related deaths; Fire-related injuries);  Age group of casualty (6 items: Total, age group of casualty; Children; Youth; Adults; ...);  Status of casualty (4 items: Total, status of casualty; Civilian; Firefighter; Unknown status of casualty);  Type of structure (9 items: Total structural fires; Residential fires; Industrial fires; Assembly fires; ...).
    • novembro 2015
      Fonte: Statistics Canada
      Carregamento por: Knoema
      Acesso em 19 setembro, 2018
      Selecionar Conjunto de dados
      Food security, by Aboriginal identity, age group, sex, and number of persons in household, population aged 6 years and over, Canada, provinces and territories (occasional).
    • novembro 2015
      Fonte: Statistics Canada
      Carregamento por: Knoema
      Acesso em 19 setembro, 2018
      Selecionar Conjunto de dados
      Food security, by age group, sex, and number of persons in household, Inuit population aged 6 years and over, Canada and Inuit Nunangat (occasional).
  • G
    • setembro 2017
      Fonte: Institute for Health Metrics and Evaluation
      Carregamento por: Knoema
      Acesso em 08 novembro, 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
    • setembro 2017
      Fonte: Institute for Health Metrics and Evaluation
      Carregamento por: Knoema
      Acesso em 27 outubro, 2017
      Selecionar Conjunto de dados
      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.
    • março 2019
      Fonte: Institute for Health Metrics and Evaluation
      Carregamento por: Knoema
      Acesso em 29 agosto, 2019
      Selecionar Conjunto de dados
      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.
    • julho 2019
      Fonte: World Bank
      Carregamento por: Knoema
      Acesso em 24 julho, 2019
      Selecionar Conjunto de dados
      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/
    • novembro 2018
      Fonte: Institute for Health Metrics and Evaluation
      Carregamento por: Knoema
      Acesso em 30 novembro, 2018
      Selecionar Conjunto de dados
      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."
    • maio 2019
      Fonte: Institute for Health Metrics and Evaluation
      Carregamento por: Knoema
      Acesso em 27 agosto, 2019
      Selecionar Conjunto de dados
      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.
    • março 2019
      Fonte: World Health Organization
      Carregamento por: Knoema
      Acesso em 18 março, 2019
      Selecionar Conjunto de dados
      The GHO data provides access to indicators on priority health topics including mortality and burden of diseases, the Millennium Development Goals (child nutrition, child health, maternal and reproductive health, immunization, HIV/AIDS, tuberculosis, malaria, neglected diseases, water and sanitation), non communicable diseases and risk factors, epidemic-prone diseases, health systems, environmental health, violence and injuries, equity among others.
    • maio 2018
      Fonte: World Health Organization
      Carregamento por: Knoema
      Acesso em 12 dezembro, 2018
      Selecionar Conjunto de dados
      Global Trends in Prevalence of Tobacco Smoking 2000-2025
    • julho 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 02 julho, 2019
      Selecionar Conjunto de dados
  • H
    • agosto 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 13 agosto, 2019
      Selecionar Conjunto de dados
    • agosto 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 13 agosto, 2019
      Selecionar Conjunto de dados
    • maio 2015
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 27 julho, 2015
      Selecionar Conjunto de dados
      Eurostat Dataset Id:hlth_sha_hf Data description Health care expenditure data provide information on expenditure in the functionally defined area of health distinct by provider category (e.g. hospitals, general practitioners), function category (e.g. services of curative care, rehabilitative care, clinical laboratory, patient transport, prescribed medicines) and financing agent (e.g. social security, private insurance company, household). The definitions and classifications of the System of Health Accounts (SHA) (see the annex at the bottom of the page) are followed, e.g. International Classification for Health Accounts - Providers of health care (ICHA-HP). Health care data on expenditure are largely based on surveys and administrative (register) data sources in the countries. Therefore, they reflect the country-specific way of organising health care and may not always be completely comparable. The database is based on a co-operation between EUROSTAT, the OECD (Organisation for Economic Co-Operation and Development) and the WHO (World Health Organisation), executing a Joint Questionnaire on Health expenditure since 2005. The area covered consists of EU-27 (excluding EL, IE, IT, MT, and UK), Norway, Iceland, Switzerland, Japan, USA, Australia and Korea. 3.2. Classification system For all data on expenditure two sources for classifications are available: the System of Health Accounts (Manual v.1.0) as presented by the OECD in 2000 and the Guide to producing national health accounts with special application for low and middle income countries produced by WHO/Worldbank/USAID in 2003 These two manuals are complemented by the Guidelines produced for EUROSTAT by the Office for National Statistics (UK) in 2003.
    • maio 2015
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 27 julho, 2015
      Selecionar Conjunto de dados
      Eurostat Dataset Id:hlth_sha_ltc Data description Health care expenditure data provide information on expenditure in the functionally defined area of health distinct by provider category (e.g. hospitals, general practitioners), function category (e.g. services of curative care, rehabilitative care, clinical laboratory, patient transport, prescribed medicines) and financing agent (e.g. social security, private insurance company, household). The definitions and classifications of the System of Health Accounts (SHA) (see the annex at the bottom of the page) are followed, e.g. International Classification for Health Accounts - Providers of health care (ICHA-HP). Health care data on expenditure are largely based on surveys and administrative (register) data sources in the countries. Therefore, they reflect the country-specific way of organising health care and may not always be completely comparable. The database is based on a co-operation between EUROSTAT, the OECD (Organisation for Economic Co-Operation and Development) and the WHO (World Health Organisation), executing a Joint Questionnaire on Health expenditure since 2005. The area covered consists of EU-27 (excluding EL, IE, IT, MT, and UK), Norway, Iceland, Switzerland, Japan, USA, Australia and Korea. 3.2. Classification system For all data on expenditure two sources for classifications are available: the System of Health Accounts (Manual v.1.0) as presented by the OECD in 2000 and the Guide to producing national health accounts with special application for low and middle income countries produced by WHO/Worldbank/USAID in 2003 These two manuals are complemented by the Guidelines produced for EUROSTAT by the Office for National Statistics (UK) in 2003.
    • novembro 2017
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 13 novembro, 2017
      Selecionar Conjunto de dados
      Cancer follow up has been given for the range of 5 years. The highest range has been considered as for this period, for example 1995-2000 is considered as 2000.
    • agosto 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 06 agosto, 2019
      Selecionar Conjunto de dados
      OECD Health Data 2016 offers the most comprehensive source of comparable statistics on health and health systems across OECD countries. It is an essential tool for health researchers and policy advisors in governments, the private sector and the academic community, to carry out comparative analyses and draw lessons from international comparisons of diverse health care systems.
    • julho 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 02 julho, 2019
      Selecionar Conjunto de dados
      OECD Health Data 2017 offers the most comprehensive source of comparable statistics on health and health systems across OECD countries. It is an essential tool for health researchers and policy advisors in governments, the private sector and the academic community, to carry out comparative analyses and draw lessons from international comparisons of diverse health care systems.B1:B4
    • julho 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 09 julho, 2019
      Selecionar Conjunto de dados
      OECD Health Data 2017 offers the most comprehensive source of comparable statistics on health and health systems across OECD countries. It is an essential tool for health researchers and policy advisors in governments, the private sector and the academic community, to carry out comparative analyses and draw lessons from international comparisons of diverse health care systems.
    • agosto 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 06 agosto, 2019
      Selecionar Conjunto de dados
      OECD Health Data 2015 offers the most comprehensive source of comparable statistics on health and health systems across OECD countries. It is an essential tool for health researchers and policy advisors in governments, the private sector and the academic community, to carry out comparative analyses and draw lessons from international comparisons of diverse healthcare systems.
    • junho 2010
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Selecionar Conjunto de dados
      OECD Health Data 2010 offers the most comprehensive source of comparable statistics on health and health systems across OECD countries. It is an essential tool for health researchers and policy advisors in governments, the private sector and the academic community, to carry out comparative analyses and draw lessons from international comparisons of diverse health care systems.
    • dezembro 2016
      Fonte: Statistics Canada
      Carregamento por: Knoema
      Acesso em 19 setembro, 2018
      Selecionar Conjunto de dados
      Health indicator profile, by Aboriginal identity and sex, age-standardized rate, four year estimates, Canada, provinces and territories.
    • junho 2015
      Fonte: Statistics Canada
      Carregamento por: Knoema
      Acesso em 19 setembro, 2018
      Selecionar Conjunto de dados
      Health indicators, age-standardazed rate, annual estimates, by sex, Canada, provinces and territories.
    • dezembro 2016
      Fonte: Statistics Canada
      Carregamento por: Knoema
      Acesso em 19 setembro, 2018
      Selecionar Conjunto de dados
      Percentage of persons for selected health indicators, by Aboriginal identity and sex, based on four-year period estimates.
    • abril 2013
      Fonte: Statistics Canada
      Carregamento por: Knoema
      Acesso em 19 setembro, 2018
      Selecionar Conjunto de dados
      Health indicators, by linguistic characteristcs (mother tongue, first official language spoken), two-year period estimates, by sex, Canada, provinces and territories.
    • julho 2019
      Fonte: World Bank
      Carregamento por: Knoema
      Acesso em 03 julho, 2019
      Selecionar Conjunto de dados
      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.
    • julho 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 02 julho, 2019
      Selecionar Conjunto de dados
      OECD Health Data 2016 offers the most comprehensive source of comparable statistics on health and health systems across OECD countries. It is an essential tool for health researchers and policy advisors in governments, the private sector and the academic community, to carry out comparative analyses and draw lessons from international comparisons of diverse health care systems.
    • julho 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 02 julho, 2019
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    • agosto 2018
      Fonte: Statistics Canada
      Carregamento por: Knoema
      Acesso em 19 fevereiro, 2019
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      Health adjusted life expectancy and life expectancy rates, at birth and at age 65, by sex, three-year average, by income quintiles.
    • dezembro 2018
      Fonte: Institute for Health Metrics and Evaluation
      Carregamento por: Knoema
      Acesso em 26 dezembro, 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
    • julho 2010
      Fonte: Statistics Canada
      Carregamento por: Knoema
      Acesso em 19 setembro, 2018
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      Number and percentage of persons for healthy aging indicators, by age group and sex, for 2008/2009 only.
    • dezembro 2014
      Fonte: Statistics Canada
      Carregamento por: Knoema
      Acesso em 24 setembro, 2018
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      Hours worked per week for adults with disabilities by age group, occasional.
    • dezembro 2013
      Fonte: Statistics Canada
      Carregamento por: Knoema
      Acesso em 19 setembro, 2018
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      Household food insecurity measures, by living arrangement, Canada, provinces and territories.
    • dezembro 2013
      Fonte: Statistics Canada
      Carregamento por: Knoema
      Acesso em 19 setembro, 2018
      Selecionar Conjunto de dados
      Household food insecurity measures, by presence of children in the household, Canada, provinces and territories.
    • junho 2007
      Fonte: Statistics Canada
      Carregamento por: Knoema
      Acesso em 19 setembro, 2018
      Selecionar Conjunto de dados
      Number and percentage of persons based on the level of household food insecurity, by age group and sex, for 2004 only.
    • julho 2010
      Fonte: Statistics Canada
      Carregamento por: Knoema
      Acesso em 19 setembro, 2018
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      This table contains 264 series, with data for years 1997 - 2008 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (11 items: Canada; Newfoundland and Labrador; Prince Edward Island; Nova Scotia; ...);  Spending category (6 items: Spending on prescription drugs greater than 0% of after tax income; Spending on prescription drugs greater than 1% of after tax income; Spending on prescription drugs greater than 2% of after tax income; Spending on prescription drugs greater than 3% of after tax income; ...);  Characteristics (4 items: Households; Low 95% confidence interval, households; High 95% confidence interval, households; Coefficient of variation for households).
    • agosto 2018
      Fonte: United Nations Development Programme
      Carregamento por: Knoema
      Acesso em 20 dezembro, 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
    • dezembro 2010
      Fonte: Institute for Health Metrics and Evaluation
      Carregamento por: Knoema
      Acesso em 31 julho, 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.
    • setembro 2011
      Fonte: Institute for Health Metrics and Evaluation
      Carregamento 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.
    • outubro 2017
      Fonte: Statistics Canada
      Carregamento por: Knoema
      Acesso em 19 setembro, 2018
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      This table contains 105 series, with data for years 2005 - 2014 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (7 items: Canada; Ontario; Manitoba; Saskatchewan; ...);  Performance of smoke alarm device, residential fires (5 items: Total residential fires; No smoke alarm; Alarm activated; Alarm did not activate; ...);  Incidents and casualties (3 items: Fire incidents, residential properties; Fire-related deaths, residential properties; Fire-related injuries, residential properties).
    • outubro 2017
      Fonte: Statistics Canada
      Carregamento por: Knoema
      Acesso em 19 setembro, 2018
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      This table contains 105 series, with data for years 2005 - 2014 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (7 items: Canada; Ontario; Manitoba; Saskatchewan; ...);  Performance of sprinkler system, structural fires (5 items: Total structural fires; No sprinkler; Sprinkler operated; Sprinkler did not operate; ...);  Incidents and casualties (3 items: Fire incidents, structural; Fire-related deaths, structural; Fire-related injuries, structural).
    • setembro 2016
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 16 setembro, 2016
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      Within the last 3 months before the survey. Information about health includes: injury, disease, nutrition, improving health, etc.
    • julho 2019
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 04 julho, 2019
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      Data given in this domain are collected annually by the National Statistical Institutes and are based on Eurostat's annual model questionnaires on ICT (Information and Communication Technologies) usage in households and by individuals. Large part of the data collected are used in the context of the 2011 - 2015 benchmarking framework (endorsed by i2010 High Level Group in November 2009) for the Digital Agenda Scoreboard, Europe's strategy for a flourishing digital economy by 2020. This conceptual framework follows the i2010 Benchmarking Framework which itself followed-up the eEurope 2005 Action Plan. ICT usage data are also used in the Consumer Conditions Scoreboard (purchases over the Internet) and in the Employment Guidelines (e-skills of individuals). The aim of the European ICT surveys is the timely provision of statistics on individuals and households on the use of Information and Communication Technologies at European level. Data for this collection are supplied directly from the surveys with no separate treatment. Coverage: The characteristics to be provided are drawn from the following list of subjects: access to and use of ICTs by individuals and/or in households,use of the Internet and other electronic networks for different purposes by individuals and/or in households,ICT security and trust,ICT competence and skills,barriers to the use of ICT and the Internet,perceived effects of ICT usage on individuals and/or on households,use of ICT by individuals to exchange information and services with governments and public administrations (e-government),access to and use of technologies enabling connection to the Internet or other networks from anywhere at any time (ubiquitous connectivity).Breakdowns (see details of available breakdowns): Relating to households: by region of residence (NUTS 1, optional: NUTS 2)by geographical location: less developed regions, transition regions, more developed regionsby degree of urbanisation (till 2012: densely/intermediate/sparsely populated areas; from 2012: densely/thinly populated area, intermediate density area) by type of householdby households net monthly income (optional) Relating to individuals: by region of residence (NUTS1, optional: NUTS 2)by geographical location: less developed regions, transition regions, more developed regionsby degree of urbanisation: (till 2012: densely/intermediate/sparsely populated areas; from 2012: densely/thinly populated area, intermediate density area)by genderby country of birth, country of citizenship (as of 2010, optional in 2010)by educational level: ISCED 1997 up to 2013 and ISCED 2011 from 2014 onwards.by occupation: manual, non-manual; ICT (coded by 2-digit ISCO categories)/non-ICT (optional: all 2-digit ISCO categories)by employment situationby age (in completed years and by groups)legal / de facto marital status (2011-2014, optional) Regional breakdowns (NUTS) are available only for a selection of indicators disseminated in the regional tables in Eurobase (Regional Information society statistics by NUTS regions (isoc_reg): Households with access to the internet at homeHouseholds with broadband accessIndividuals who have never used a computerIndividuals who used the internet, frequency of use and activitiesIndividuals who used the internet for interaction with public authoritiesIndividuals who ordered goods or services over the internet for private useIndividuals who accessed the internet away from home or work
    • novembro 2018
      Fonte: Statistics Canada
      Carregamento por: Knoema
      Acesso em 08 maio, 2019
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      This table contains 3672 series, with data for years 2000/2002 - 2010/2012 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (153 items: Canada; Newfoundland and Labrador; Census metropolitan areas and census agglomerations, Newfoundland and Labrador; Census metropolitan areas, Newfoundland and Labrador; ...); Sex (3 items: Both sexes; Males; Females); Infant or perinatal mortality (2 items: Infant mortality; Perinatal mortality); Characteristics (4 items: Number; Rate; Low 95% confidence interval, rate; High 95% confidence interval, rate).
    • maio 2019
      Fonte: United Nations Economic Commission for Europe
      Carregamento por: Knoema
      Acesso em 03 junho, 2019
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      .. - data not available Source: UNECE Statistical Database, compiled from national and international (WHO European health for all database, Eurostat and UNICEF TransMONEE) official sources. Definition: The infant mortality rate is the number of deaths of infants under one year of age per 1000 live births in a given year. Country: Azerbaijan Break in methodlogy (2000): Change in calculation methodology. Country: Cyprus Data cover only government controlled area. Country: Germany From 3 October 1990: data refer to the Federal Republic within its frontiers. Country: Italy Change in definition (1980 - 2011): Data refer to resident or non resident population. Country: Malta From 2001: data include foreign residents. Country: Serbia Break in methodlogy (2005): Change in data processing methodology. Country: Serbia Territorial change (2000 - 2012): Data do not cover Kosovo and Metohija. Country: Tajikistan Additional information (1980 - 2012): Data are from births and deaths register. Country: Ukraine From 2014 data cover the territories under the government control.
    • novembro 2018
      Fonte: Statistics Canada
      Carregamento por: Knoema
      Acesso em 28 abril, 2019
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      Number of infant deaths and infant mortality rate, by birth weight and sex.
    • julho 2008
      Fonte: Statistics Canada
      Carregamento por: Knoema
      Acesso em 19 setembro, 2018
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      Influenza immunization, by sex, household population aged 65 and over, Canada, provinces and territories.
    • julho 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 02 julho, 2019
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    • abril 2017
      Fonte: International Comparisons
      Carregamento por: International Comparisons
      Acesso em 29 agosto, 2019
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      Compared to the other 11 countries, United States has averaged more pregnancies, births, and abortions per 1,000 girls while having the lowest ratio of births to abortions.
    • maio 2015
      Fonte: Statistics Canada
      Carregamento por: Knoema
      Acesso em 19 setembro, 2018
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      Investment income for adults with and without disabilities, by age group and sex, Canada, provinces and territories, occasional (number unless otherwise noted).
  • J
    • novembro 2017
      Fonte: Statistics Canada
      Carregamento por: Knoema
      Acesso em 19 setembro, 2018
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      This table contains 14040 series, with data for years 2016 - 2016 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (13 items: Canada; Atlantic provinces; Newfoundland and Labrador; Prince Edward Island; ...);  Age group (10 items: Total, 15 years and over; 15 to 24 years; 25 to 54 years; 25 to 34 years; ...);  Sex (3 items: Both sexes; Male; Female);  Response (9 items: Total, job satisfaction; Very satisfied or satisfied; Very satisfied; Satisfied; ...);  Estimates (4 items: Number of persons; Percentage of persons; Low 95% confidence interval, percent; High 95% confidence interval, percent).
  • L
    • abril 2017
      Fonte: Statistics Canada
      Carregamento por: Knoema
      Acesso em 19 setembro, 2018
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      Labour force status for adults with and without disabilities, by sex and age group, occasional.
    • abril 2017
      Fonte: Statistics Canada
      Carregamento por: Knoema
      Acesso em 23 setembro, 2018
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      Labour force status for adults with disabilities, by disability type and global severity, sex and age group, occasional.
    • junho 2019
      Fonte: United Nations Economic Commission for Europe
      Carregamento por: Knoema
      Acesso em 11 junho, 2019
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      Source: UNECE Statistical Database, compiled from national and international (Eurostat, UN Statistics Division Demographic Yearbook, WHO European health for all database and UNICEF TransMONEE) official sources. Definition: Legal abortions refer to legally induced early foetal deaths and do not cover spontaneous abortions (i.e. miscarriages). The abortion rate is defined as the number of abortions per 1000 live births during a given year. General note: Data come from registers, unless otherwise specified. .. - data not available Country: Austria Additional information (1990 - 2012): Data refer to abortions carried out in hospitals. Country: Azerbaijan Data include illegal abortions. Country: Canada 2002-2005 : data do not cover abortions performed on non-Canadian residents. Country: France Data do not cover overseas territories. Country: Georgia From 1995 : data do not cover Abkhazia and South Ossetia (Tshinvali). Country: Israel Data include East Jerusalem and Israeli residents in certain other territories under occupation by Israeli military forces since June 1967. Data refer to applications for abortions and not to actual abortions performed. Country: Italy Incomplete data for the mentioned years and Regions: 1990 (Piemonte), 1995 (Piemonte), 2002 (Campania), 2003 (Campania), 2004 (Sicilia), 2005 (Friuli-Venezia Giulia, Molise, Campania, Sicilia), 2006 (Friuli-Venezia Giulia, Campania, Sicilia), 2007 (Campania). Country: Kyrgyzstan Data include spontaneous abortions (i.e. miscarriages). Country: Netherlands Data refer to abortions performed on women living in the Netherlands. Country: Russian Federation Additional information (1995 - 2012): Data include interruption of pregnancy for the total of 21 weeks. Country: Serbia Data do not cover Kosovo and Metohija. Country: Switzerland Break in methodlogy (2004): A new data collection system took place following the legal changes regarding abortion in 2002. Country: Tajikistan Data include menstrual cycle regulation procedures (also known as mini-abortions) carried out within the first 5 to 6 weeks of a possible pregnancy. Country: United Kingdom Change in definition (1980 - 2012): Data include residents and non-residents. Country: United Kingdom Territorial change (1980 - onwards): Data do not cover Northern Ireland.
    • novembro 2018
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 21 novembro, 2018
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      This indicator is a proxy for rights to social security and health. It represents the percentage of the population without legal health coverage. Coverage includes affiliated members of health insurance or estimation of the population having free access to health care services provided by the State. A higher figure indicates higher percentage of the population without legal health coverage.This is one of five indicators measuring key dimensions of deficits in health care access and coverage. For analytical purposes the full set of indicators should be considered together.
    • julho 2008
      Fonte: Statistics Canada
      Carregamento por: Knoema
      Acesso em 19 setembro, 2018
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      Leisure-time physical activity, by sex, household population aged 12 and over, Canada, provinces and territories.
    • maio 2019
      Fonte: Statistics Canada
      Carregamento por: Knoema
      Acesso em 31 maio, 2019
      Selecionar Conjunto de dados
      This table contains mortality indicators for Canada and all provinces except Prince Edward Island for the period from 1980/1982 to 2014/2016. Complete mortality tables are available for men, women and both sexes combined. For Prince Edward Island, Yukon, the Northwest Territories and Nunavut, abridged life tables by 5-year age groups can be found in table 13-10-0140-01.
    • maio 2019
      Fonte: Statistics Canada
      Carregamento por: Knoema
      Acesso em 31 maio, 2019
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      This table contains mortality indicators for Prince Edward Island and the territories for the period from 1980/1982 to 2014/2016. Abridged mortality tables, by 5-year age groups, are available for men, women and both sexes combined. Complete life tables, by single years of age, are available for Canada as a whole and for all provinces except Prince Edward Island. The complete life tables can be found in table 13-10-0114-01.
    • maio 2018
      Fonte: Statistics Canada
      Carregamento por: Knoema
      Acesso em 22 março, 2019
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      Life expectancy, at birth and at age 65, by sex, five-year average, for Canada and Inuit regions.
    • abril 2018
      Fonte: National Association of Insurance Commissioners
      Carregamento por: Knoema
      Acesso em 10 maio, 2018
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    • dezembro 2015
      Fonte: Statistics Canada
      Carregamento por: Knoema
      Acesso em 24 setembro, 2018
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      Limitations and barriers to employment for adults with disabilities, by age group, occasional.
    • junho 2007
      Fonte: Statistics Canada
      Carregamento por: Knoema
      Acesso em 19 setembro, 2018
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      Number and percentage of persons based on the location of food preparation, by age group and sex, for 2004 only.
    • setembro 2018
      Fonte: Statistics Canada
      Carregamento por: Knoema
      Acesso em 22 março, 2019
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      Number and proportion of low birth weight babies (less than 2,500 grams and 500 grams to less than 2,500 grams), by sex.
  • M
    • agosto 2018
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 31 agosto, 2018
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      This indicator is a proxy for health system outcomes. It represents the number of maternal deaths per 10 000 live births. A higher figure indicates worse outcomes. This is one of five indicators measuring key dimensions (drivers) of deficits in health care access and coverage. For analytical purposes the full set of indicators should be considered together.
    • agosto 2017
      Fonte: Statistics Canada
      Carregamento por: Knoema
      Acesso em 19 setembro, 2018
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      This table contains 27456 series, with data for years 2004 - 2015 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (11 items: Canada; Newfoundland and Labrador; Prince Edward Island; Nova Scotia; ...);  Age group (13 items: Total, 18 years and over; 18 to 34 years; 18 to 24 years; 18 to 19 years; ...);  Sex (3 items: Both sexes; Males; Females);  Measured adult body mass index (8 items: Total population for the variable measured adult body mass index; Underweight, measured adult body mass index under 18.50; Normal weight, measured adult body mass index 18.50 to 24.99; Overweight, measured adult body mass index 25.00 to 29.99; ...); Characteristics (8 items: Number of persons; Low 95% confidence interval, number of persons; High 95% confidence interval, number of persons; Coefficient of variation for number of persons; ...).
    • agosto 2017
      Fonte: Statistics Canada
      Carregamento por: Knoema
      Acesso em 19 setembro, 2018
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      This table contains 5280 series, with data for years 2004 - 2015 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (11 items: Canada; Newfoundland and Labrador; Prince Edward Island; Nova Scotia; ...); Age group (5 items: Total, 5 to 17 years (61 to 215 months); 5 to 11 years; 12 to 17 years; 12 to 14 years; ...); Sex (3 items: Both sexes; Males; Females); Measured child body mass index (4 items: Total population for the variable measured child body mass index; Measured child body mass index, neither overweight nor obese; Measured child body mass index, overweight; Measured child body mass index, obese); Characteristics (8 items: Number of persons; Low 95% confidence interval, number of persons; High 95% confidence interval, number of persons; Coefficient of variation for number of persons; ...).
    • agosto 2017
      Fonte: Statistics Canada
      Carregamento por: Knoema
      Acesso em 19 setembro, 2018
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      This table contains 792 series, with data for years 2004 - 2015 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (11 items: Canada; Newfoundland and Labrador; Prince Edward Island; Nova Scotia; ...) ; Age group (1 item: Total, 2 to 5 years (24 to 60 months)) ; Sex (3 items: Both sexes; Males; Females) ; Measured child body mass index (3 items: Total population for the variable measured child body mass index; Measured child body mass index, not at risk of overweight, not overweight, not obese; Measured child body mass index, at risk of overweight, overweight, obese) ; Characteristics (8 items: Number of persons; Low 95% confidence interval, number of persons; High 95% confidence interval, number of persons; Coefficient of variation for number of persons; ...).
    • março 2017
      Fonte: Statistics Canada
      Carregamento por: Knoema
      Acesso em 19 setembro, 2018
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      Mental health characteristics and suicidal thoughts, by age group and sex, Canada (excluding territories) and provinces.
    • fevereiro 2014
      Fonte: Statistics Canada
      Carregamento por: Knoema
      Acesso em 19 setembro, 2018
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      Number and percentage of persons for mental health indicators, by age group and sex.
    • março 2019
      Fonte: World Bank
      Carregamento por: Knoema
      Acesso em 20 março, 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
  • O
  • P
  • Q
    • dezembro 2015
      Fonte: Statistics Canada
      Carregamento por: Knoema
      Acesso em 19 setembro, 2018
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      This table contains 264 series, with data for years 2001 - 2001 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (11 items: Canada; Prince Edward Island; Nova Scotia; Newfoundland and Labrador ...) Quality of family physician care (3 items: Family physician care; excellent self-reported quality of care; Family physician care; good self-reported quality of care; Family physician care; fair or poor self-reported quality of care ...) Characteristics (8 items: Number of persons; Low 95% confidence interval; number of persons; High 95% confidence interval; number of persons; Coefficient of variation; number of persons ...).
  • R
    • dezembro 2015
      Fonte: Statistics Canada
      Carregamento por: Knoema
      Acesso em 19 setembro, 2018
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      This table contains 264 series, with data for years 2001 - 2001 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (11 items: Canada; Newfoundland and Labrador; Nova Scotia; Prince Edward Island ...) Reasons for not having a regular family physician (3 items: Reasons for not having a regular family physician; did not contact one; Reasons for not having a regular family physician; other reasons; Reasons for not having a regular family physician; physician availability ...) Characteristics (8 items: Number of persons; High 95% confidence interval; number of persons; Coefficient of variation; number of persons; Low 95% confidence interval; number of persons ...).
    • março 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 13 março, 2019
      Selecionar Conjunto de dados
      The Regional Database contains annual data from 1995 to the most recent available year (generally 2014 for demographic and labour market data, 2013 for regional accounts, innovation and social statistics).   In any analytical study conducted at sub-national levels, the choice of the territorial unit is of prime importance. The territorial grids (TL2 and TL3) used in this database are officially established and relatively stable in all member countries, and are used by many as a framework for implementing regional policies. This classification - which, for European countries, is largely consistent with the Eurostat classification - facilitates greater comparability of regions at the same territorial level. The differences with the Eurostat NUTS classification concern Belgium, Greece and the Netherlands where the NUTS 2 level correspond to the OECD TL3 and Germany where the NUTS1 corresponds to the OECD TL2 and the OECD TL3 corresponds to 97 spatial planning regions (Groups of Kreise). For the United Kingdom the Eurostat NUTS1 corresponds to the OECD TL2. Due to limited data availability, labour market indicators in Canada are presented for a different grid (groups of TL3 regions). Since these breakdowns are not part of the OECD official territorial grids, for the sake of simplicity they are labelled as Non Official Grids (NOG).
    • julho 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 02 julho, 2019
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      The Regional well-being dataset presents eleven dimensions central for well-being at local level and for 395 OECD regions, covering material conditions (income, jobs and housing), quality of life (education, health, environment, safety and access to services) and subjective well-being (social network support and life satisfaction). The set of indicators selected to measure these dimensions is a combination of people's individual attributes and their local conditions, and in most cases, are available over two different years (2000 and 2014). Regions can be easily visualised and compared to other regions through the interactive website [www.oecdregionalwellbeing.org]. The dataset, the website and the publications "Regions at a Glance" and "How’s life in your region?" are outputs designed from the framework for regional and local well-being. The Regional income distribution dataset presents comparable data on sub-national differences in income inequality and poverty for OECD countries. The data by region provide information on income distribution within regions (Gini coefficients and income quintiles), and relative income poverty (with poverty thresholds set in respect of the national population) for 2013. These new data complement international assessments of differences across regions in living conditions by documenting how household income is distributed within regions and how many people are poor relatively to the typical citizen of their country. For analytical purposes, the OECD classifies regions as the first administrative tier of sub-national government, so called Territorial Level 2 or TL2 in the OECD classification. This classification is used by National Statistical Offices to collect information and it represents in many countries the framework for implementing regional policies. Well-being indicators are shown for the 395 TL2 OECD regions, equivalent of the NUTS2 for European countries, with the exception for Estonian where well-being data are presented at a smaller (TL3) level and for the Regional Income dataset, where Greece, Hungary and Poland data are presented at a more aggregated (NUTS1) level.
    • setembro 2019
      Fonte: ClinicalTrials.gov
      Carregamento por: Knoema
      Acesso em 16 setembro, 2019
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      Registered studies by ClinicalTrials.gov, As of September 15, 2019
    • junho 2007
      Fonte: Statistics Canada
      Carregamento por: Knoema
      Acesso em 19 setembro, 2018
      Selecionar Conjunto de dados
      Number and percentage of persons based on reported occasions of food consumption, by age group and sex, for 2004 only.
    • janeiro 2018
      Fonte: Statistics Canada
      Carregamento por: Knoema
      Acesso em 19 setembro, 2018
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      This table contains 124800 series, with data for years 2016 - 2016 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (13 items: Canada; Atlantic provinces; Newfoundland and Labrador; Prince Edward Island; ...);  Age group (10 items: Total, 15 years and over; 15 to 24 years; 25 to 54 years; 25 to 34 years; ...);  Sex (3 items: Both sexes; Males; Females);  Resilience (10 items: Having enough energy to meet life's challenges; Having a hopeful view of the future; Confident in own abilities, even when faced with challenges; Ability to admit when one has done something wrong; ...);  Response (8 items: Always or often; Always; Often; Sometimes; ...);  Estimates (4 items: Number of persons; Percentage of persons; Low 95% confidence interval, percent; High 95% confidence interval, percent).
    • maio 2015
      Fonte: Statistics Canada
      Carregamento por: Knoema
      Acesso em 19 setembro, 2018
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      Retirement income of adults with and without disabilities by age group and sex, Canada, provinces and territories, occasional (number unless otherwise noted).
    • junho 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 21 junho, 2019
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      Classification(s) used: ICHA-FS: Classification of revenues of health care financing schemes ICHA-HF: Classification of health care financing schemes
  • S
    • setembro 2014
      Fonte: Statistics Canada
      Carregamento por: Knoema
      Acesso em 19 setembro, 2018
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      Number and percentage of persons who had selected diagnostic tests, based on distribution of waiting times.
    • dezembro 2015
      Fonte: Statistics Canada
      Carregamento por: Knoema
      Acesso em 19 setembro, 2018
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      This table contains 264 series, with data for years 2001 - 2001 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (11 items: Canada; Nova Scotia; Newfoundland and Labrador; Prince Edward Island ...) Type of service, unmet health care needs (3 items: Unmet health care needs; all services; Unmet health care needs; health care services; Unmet health care needs; health information or advice ...) Characteristics (8 items: Number of persons; High 95% confidence interval; number of persons; Low 95% confidence interval; number of persons; Coefficient of variation; number of persons ...).
    • maio 2019
      Fonte: United Nations Economic Commission for Europe
      Carregamento por: Knoema
      Acesso em 03 junho, 2019
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      Source: UNECE Statistical Database, compiled from national official sources. Definition: Smoking is defined as the daily smoking of at least one cigarette. General note: Percentage .. - data not available Country: Armenia 1995: data refer to 1997. 2010: data refer to age group 15-49. Country: Austria Break in methodlogy (2006): Data for 2006 come from the Autrian Health Interview Survey, for 1995 from the Labour force Survey ad hoc module on smoking habits. Country: Austria Reference period (1995): Data refer to 1997. Country: Belarus Data refer to population aged 16+. Country: Bulgaria Break in methodlogy (2008): 2008 data come from the European Health Interview Survey and 2001 from the Demographic and Health survey. Country: Canada Data exclude institutional residents and full-time members of the Canadian Forces. Country: Canada Data exclude residents of Indian Reserves, Crown Lands and certain remote regions. Country: Croatia Change in definition (1995): data refer to age group 18-65. Country: Croatia Change in definition (2003): data refer to population aged 18+. Country: Croatia Reference period (2012): data refer to 2011. Country: Cyprus Reference period (1990): Data refer to 1989. Country: Cyprus Data cover only government controlled area. Country: Czechia 2004: data refer to population aged 18-64; age group 15-24 refers to 18-24. 1990, 1995 and 2000: data refer to 1993, 1996 and 1999. Country: Denmark Change in definition (1990 - 2013): Data refer to population aged 16+; age group 15-24 refers to 16-24. Country: Estonia Data refer to population aged 16-64; age group 15-24 refers to 16-24. Country: Estonia Reference period (1995): Data refer to 1996 Country: France Change in definition (1995 - 2000): Data refer to population aged 18-74; age group 15-24 refers to 18-24. Country: France Change in definition (2002 - 2014): Data refer to population aged 15-75 Country: France Territorial change (2002 - 2014): Data cover only Metropolitan France. Country: Germany 2000: data refer to 1999. Country: Iceland Change in definition (1990 - 2013): Data for smokers 15+ refers to persons aged 15-89. As of 2014, data refer to persons aged 18-89. Data for smokers aged 15-24 refers to persons aged 18-24 as of 2014. Country: Ireland Age group 15-24 refers to 15-23. 2000: data refer to 1998. 2000-2002: data include occasional smokers. 2003: data refer to people smoking one or more cigarettes a week. From 2015, data related to the population aged 15 and over who report that they are daily smokers. Country: Israel Additional information (1995 - 2013): Data are based on different surveys and methodologies across years. Country: Israel Change in definition (1995 - 2010): Data refer to population aged 20+. Country: Israel Change in definition (2003): Data refer to population aged 20+. Data refer to population aged 21+ and based on health survey. Country: Israel Change in definition (2013): Data refer to population aged 21+. Country: Israel Reference period (1995): Data refer to 1996-1997. Country: Israel Reference period (2000): Data refer to 1999-2000. Country: Israel Reference period (2003): Data refer to 2003-2004. Country: Italy Break in methodlogy (2001): From 2001 data come from survey "Aspects of daily life" , before 2001 data come from survey "Health condition and use of health services". Country: Italy Reference period (1995): Data refer to 1994. Country: Kazakhstan Age group 15+ refers to 15-49. Country: Latvia Data for 2003 - from the Health Interview Survey. Data cover population 15-75 years old.Data for 2004, 2006, 2010 and 2012 - from Health Behaviour Survey among Latvian Adult population. Data cover population 15-64 years old.Data for 2008 and 2014 - from the European Health iInterview Survey (EHIS). Data cover population 15+. Country: Malta Data refer to population aged 18+ residing in private households. Data for age group 15 - 24 are not available due to under-representation. Country: Moldova, Republic of Additional information (2010 - 2012): Data exclude the territory of the Transnistria and municipality of Bender Country: Moldova, Republic of Change in definition (2010 - 2012): Smoking is defined as daily smoking or smoking sometimes Country: Moldova, Republic of Reference period (2010): The survey was conducted in August-October 2010 Country: Moldova, Republic of Reference period (2012): The survey was conducted in July-September 2012 Country: Netherlands Change in definition (1990 - 1995): Data refer to population age 16+. Country: Netherlands Data include all types of smokers. In 2014, interviewing and weighting method was changed, causing a break in the time series. Country: Norway Change in definition (1980 - 2009): Date refer to three-year average. Country: Norway Data refer to population aged 16-74; age group 15-24 refers to 16-24. Country: Poland Reference period (1995): Data refer to 1996. Country: Portugal Before 2005: data cover only mainland territory (without Autonomous Regions of Acores and Madeira). 1995, 2000, 2005: data refer to 1995/1996, 1998/1999 and 2005/2006. Country: Romania Break in methodology (2009): From 2009 change in data source Country: Russian Federation Change in definition: Data refer to daily smokers of age 15+. Country: Slovenia Change in definition (1990): Data for population aged 15+ refer to age 18+. Country: Slovenia Change in definition (1995 - 2000): Data for population aged 15+ refer to age 18+. Age group 15-24 refers to 15-16. Country: Slovenia Change in definition (2001 - 2004): Data for population aged 25-64. Country: Slovenia Change in definition (2008 - 2012): Data for population aged 25-74. Country: Slovenia Reference period (1990): Data refer to 1988. Country: Slovenia Reference period (1995): Data refer to 1994. Country: Slovenia Reference period (2000): Data refer to 1999. Country: Spain Break in methodlogy (2003): Proxy were allowed Country: Spain Break in methodlogy (2009): Questionnaire self-administered Country: Spain Change in definition (1980 - 2003): Data refer to population aged 16+. Age group 15-24 refers to 16-24. Data refer to Spanish nationals only. Country: Spain Change in definition (2006 - 2009): Data refer to population aged 16+. Age group 15-24 refers to 16-24. Country: Spain Reference period (1990): Data refer to 1993. Country: Spain Reference period (2000): Data refer to 1997. Country: Sweden Change in definition (1980 - 2001): Age group 15+ refers to 16+, age group 15-24 refers to 16-24. Data refer to population aged 16-84. Country: Sweden Change in definition (2002 - onwards): Age group 15+ refers to 16+, age group 15-24 refers to 16-24. Country: Sweden Data do not include snuff users and smokers Country: Switzerland Reference period (1990): Data refer to 1992. Country: Switzerland Reference period (1995): Data refer to 1997. Country: Turkey Break in methodlogy (2006): Data come from the Life Satisfaction Survey. For other years data come from a different source. Country: Turkey Break in methodlogy (2008, 2012): Data for 2008 and 2012 come from the Global Adult Tobacco Survey. For other years data come from a different source. Country: Turkey Break in methodlogy (2010, 2014): Data come from the Health Interview Survey. For other years data come from a different source. Country: Ukraine From 2014 data cover the territories under the government control. Country: Ukraine Territorial change (2000 - 2013): The territorial sample exclude localities in the territory which was radioactively contaminated by the Chernobyl disaster . Country: United Kingdom Change in definition (1980 - onwards): Data refer to population aged 16+. Smokers are defined as anyone who has ever smoked and describes themselves as a current smoker. Age group 15-24 refers to 16-24. Country: United Kingdom Reference period (1995): Data refer to 1994. Country: United Kingdom Reference period (2005): Estimates prior to 2005 are based on a fiscal year rather than a calendar year. Country: United Kingdom Territorial change (1980 - onwards): Estimates are for Great Britain excluding Northern Ireland. Country: United States Data for 1980 include persons aged 17+, for all other years data refer to the population aged 18+. 1980, 1990: data refer to both daily and nondaily smokers.
    • novembro 2015
      Fonte: Statistics Canada
      Carregamento por: Knoema
      Acesso em 19 setembro, 2018
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      Smoking status, by Aboriginal identity, age group and sex, population aged 15 years and over, Canada, provinces and territories (occasional).
    • novembro 2015
      Fonte: Statistics Canada
      Carregamento por: Knoema
      Acesso em 19 setembro, 2018
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      Smoking status, by age group and sex, Inuit population aged 15 years and over, Canada and Inuit Nunangat (occasional).
    • setembro 2012
      Fonte: Statistics Canada
      Carregamento por: Knoema
      Acesso em 19 setembro, 2018
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      Number and percentage of smokers and non-smokers based on changes in smoking between 1994/1995 and 2004/2005, 2006/2007, 2008/2009 and 2010/2011, by age group and sex.
    • agosto 2018
      Fonte: Social Progress Imperative
      Carregamento por: Knoema
      Acesso em 21 novembro, 2018
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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 2018 Social Progress Index. Therefore, using the 2018 Social Progress Index framework and methodology, we provide comparable historical data for four additional years of the Social Progress Index, from 2014 to 2017. To read more about our methodology, please see the 2018 Methodology here https://www.socialprogress.org/index/methodology
    • maio 2015
      Fonte: Statistics Canada
      Carregamento por: Knoema
      Acesso em 24 setembro, 2018
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      Sources of income of adults with and without disabilities by age group and sex ,Canada, provinces and territories, occasional (number unless otherwise noted).
    • setembro 2014
      Fonte: Statistics Canada
      Carregamento por: Knoema
      Acesso em 19 setembro, 2018
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      Number and percentage of persons who visited a specialist for a new illness or condition, based on distribution of waiting times.
    • agosto 2018
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 31 agosto, 2018
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      This indicator is a proxy for the availability of health care. It represents the percentage of the population without access to health care due to the absence of the health workforce. The threshold for having a sufficient health workforce is 41.1 health workers per 10 000 population. A higher figure indicates worse availability. Note that this indicator reflects the supply side of availability, in this case the availability of human resources is at a level that guarantees at least basic, but universal, access. To estimate access to the services of skilled medical professionals (physicians, nursing and midwifery personnel), it uses as a proxy the relative difference between the density of these health workers in a given country (number per 10 000 population) and its median value in countries with a low level of vulnerability (defined according to the structure of employment and levels of poverty).To establish whether a country is spending 'enough' or has 'enough' key health workers, it is necessary first to define what constitutes 'enough', i.e. set a threshold against which a country's performance can be compared. Opinions differ on what constitutes 'enough' in these contexts, not least because it is likely to be a moving target, influenced by prevailing health issues, demography etc. The ILO's approach for measuring financial deficit is to: (i) calculate the median expenditure on health (excluding OOP) in low-vulnerability countries, then (ii) for each country, compare spending against this median. In 2014, the median in low-vulnerability countries was US$239. For example, a country spending 50% less than the median in low-vulnerability countries has a financial deficit of 50%. The same principle applies to the staff access deficit indicator, for which the 2014 median in low-vulnerability countries was 41.1. This is one of five indicators measuring key dimensions of deficits in health care access and coverage. For analytical purposes the full set of indicators should be considered together.
    • fevereiro 2015
      Fonte: World Life Expectancy
      Carregamento por: Knoema
      Acesso em 07 maio, 2015
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    • junho 2019
      Fonte: Sustainable Development Solutions Network
      Carregamento por: Knoema
      Acesso em 09 julho, 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
    • janeiro 2018
      Fonte: RAND Corporation
      Carregamento por: Knoema
      Acesso em 24 janeiro, 2018
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      Given the potential adverse effects of insufficient sleep on health, well-being and productivity, the consequences of sleep-deprivation have far-reaching economic consequences. Hence, in order to raise awareness of the scale of insufficient sleep as a public-health issue, comparative quantitative figures need to be provided for policy- and decision-makers, as well as recommendations and potential solutions that can help tackling the problem.
    • dezembro 2015
      Fonte: United Nations Statistics Division
      Carregamento por: Knoema
      Acesso em 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
    • março 2017
      Fonte: Bloomberg
      Carregamento por: Knoema
      Acesso em 27 novembro, 2017
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      To identify the healthiest countries in the world, Bloomberg Rankings created health scores and health-risk scores for countries with populations of at least 1 million. The risk score was subtracted from the health score to determine the country''s rank. Five-year averages, when available, were used to mitigate some of the short-term year-over-year swings.
    • março 2014
      Fonte: Statistics Canada
      Carregamento por: Knoema
      Acesso em 19 setembro, 2018
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      Hours per week spent providing care to a family member or friend with a long-term illness, disability or aging needs by sex and age group, 2012.
    • março 2014
      Fonte: Statistics Canada
      Carregamento por: Knoema
      Acesso em 19 setembro, 2018
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      Hours per week spent providing care to a family member or friend with a long-term illness, disability or aging needs, by sex and household income of respondent, 2012.
    • março 2014
      Fonte: Statistics Canada
      Carregamento por: Knoema
      Acesso em 19 setembro, 2018
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      Hours per week spent providing care to a family member or friend with a long-term illness, disability or aging needs, by sex and main activity of respondent, 2012.
    • março 2014
      Fonte: Statistics Canada
      Carregamento por: Knoema
      Acesso em 19 setembro, 2018
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      Hours per week spent providing care to a family member or friend with a long-term illness, disability or aging needs, by sex and presence of children under 18 years in the household, 2012.
    • março 2014
      Fonte: Statistics Canada
      Carregamento por: Knoema
      Acesso em 19 setembro, 2018
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      Hours per week spent providing care to a family member or friend with a long-term illness, disability or aging needs, by sex and relationship between respondent and primary care receiver, 2012.
    • junho 2017
      Fonte: Statistics Canada
      Carregamento por: Knoema
      Acesso em 19 setembro, 2018
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      Mean of percentage of total energy intake from foods, by dietary age-sex reference intake group, for 2015 only.
    • abril 2019
      Fonte: United Nations Economic Commission for Europe
      Carregamento por: Knoema
      Acesso em 22 abril, 2019
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      .. - data not available Source: UNECE Statistical Database, compiled from national and international (Eurostat, UN Statistics Division Demographic Yearbook, WHO European health for all database and UNICEF TransMONEE) official sources. Definition: The total fertility rate is defined as the average number of children that would be born alive to a woman during her lifetime if she were to pass through her childbearing years conforming to the age-specific fertility rates of a given year. General note: Data come from registers, unless otherwise specified. Country: Cyprus Data cover only government controlled area. Country: Georgia From 1995 : data do not cover Abkhazia and South Ossetia (Tshinvali). Country: Germany From 3 October 1990: data refer to the Federal Republic within its frontiers. Country: Israel Data include East Jerusalem and Israeli residents in certain other territories under occupation by Israeli military forces since June 1967. Country: Russian Federation 1980 : data refer to 1980-1981. Country: Serbia Data do not cover Kosovo and Metohija. Country: Turkey Data come from the national population projections, which are based on Population Census (2000) and Turkey Demographic and Health Survey (2003).
    • julho 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 01 agosto, 2019
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      Description not available
    • setembro 2014
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 31 agosto, 2018
      Selecionar Conjunto de dados
      Description not available
    • maio 2015
      Fonte: Statistics Canada
      Carregamento por: Knoema
      Acesso em 19 setembro, 2018
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      Total income of adults with and without disabilities by age group and sex, Canada, provinces and territories.
    • junho 2019
      Fonte: United Nations Economic Commission for Europe
      Carregamento por: Knoema
      Acesso em 11 junho, 2019
      Selecionar Conjunto de dados
      .. - data not available Source: UNECE Statistical Database, compiled from national and international (Eurostat, UN Statistics Division Demographic Yearbook, WHO European health for all database and UNICEF TransMONEE) official sources. Definition:A live birth is the complete expulsion or extraction from its mother of a product of conception, irrespective of the duration of pregnancy, which after such separation breathes or shows any other evidence of life such as beating of the heart, pulsation of the umbilical cord or definite movement of voluntary muscles, whether or not the umbilical cord has been cut or the placenta is attached. General note: Data come from registers, unless otherwise specified. In years 2003 and before, the number of live births for girl child and boy child may not add up to the number for both sexes (Total) due to the rounding up of numbers. Country: Armenia 1980-2006 : Data do not cover infants born alive with less than 28 weeks gestation, less than 1000 grams in weight and 35 centimeters in length, who die within seven days of birth. Country: Azerbaijan Data do not cover infants born alive with less than 28 weeks gestation, less than 1000 grams in weight and 35 centimeters in length, who die within seven days of birth. Data are tabulated by date of registration (rather than occurrence). Country: Belarus Data do not cover infants born alive with less than 28 weeks gestation, less than 1000 grams in weight and 35 centimeters in length, who die within seven days of birth. Country: Canada 1980,1995: Including Canadian residents temporarily in the United States, but excluding United States residents temporarily in Canada. Country: Cyprus Data cover only government controlled area. Country: Georgia Data do not cover infants born alive with less than 28 weeks gestation, less than 1000 grams in weight and 35 centimeters in length, who die within seven days of birth. From 1995 : data do not cover Abkhazia and South Ossetia (Tshinvali). Country: Germany From 3 October 1990: data refer to the Federal Republic within its frontiers. Country: Israel Data include East Jerusalem and Israeli residents in certain other territories under occupation by Israeli military forces since June 1967. Country: Kazakhstan Data do not cover infants born alive with less than 28 weeks gestation, less than 1000 grams in weight and 35 centimeters in length, who die within seven days of birth. Country: Malta From 2001: data include foreign residents. Country: Russian Federation Data do not cover infants born alive with less than 28 weeks gestation, less than 1000 grams in weight and 35 centimeters in length, who die within seven days of birth. Country: Serbia Data do not cover Kosovo and Metohija. Data are tabulated by date of registration (rather than occurrence). Country: Turkey 1980-2000: data source is population censuses. From 2001: data are from administrative source. Country: Turkmenistan Data do not cover infants born alive with less than 28 weeks gestation, less than 1000 grams in weight and 35 centimeters in length, who die within seven days of birth.
    • dezembro 2014
      Fonte: Statistics Canada
      Carregamento por: Knoema
      Acesso em 24 setembro, 2018
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      Training in the workplace for adults with disabilities, by age group, occasional.
  • U
    • dezembro 2015
      Fonte: World Health Organization
      Carregamento por: Knoema
      Acesso em 15 setembro, 2017
      Selecionar Conjunto de dados
    • outubro 2014
      Fonte: United Nations Economic Commission for Europe
      Carregamento por: Knoema
      Acesso em 16 junho, 2016
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    • outubro 2015
      Fonte: Joint United Nations Programme on HIV/AIDS
      Carregamento por: Knoema
      Acesso em 26 fevereiro, 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.
    • novembro 2018
      Fonte: DevInfo
      Carregamento por: Knoema
      Acesso em 05 dezembro, 2018
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      This database contains country-reported GAM data. For HIV epidemiological estimates, as well as ART and PMTCT indicators
    • julho 2019
      Fonte: Joint United Nations Programme on HIV/AIDS
      Carregamento por: Knoema
      Acesso em 13 agosto, 2019
      Selecionar Conjunto de dados
      This Dataset contains Regional and National level Data.
  • W
    • maio 2012
      Fonte: World Health Organization
      Carregamento por: Knoema
      Acesso em 01 junho, 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.
    • agosto 2019
      Fonte: World Bank
      Carregamento por: Knoema
      Acesso em 28 agosto, 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
    • maio 2014
      Fonte: World Health Organization
      Carregamento por: Knoema
      Acesso em 18 junho, 2014
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      Includes datasets on communicable diseases, human resources for health, noncommunicable diseases and world health statistics.
    • outubro 2013
      Fonte: World Bank
      Carregamento por: Knoema
      Acesso em 24 novembro, 2014
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      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
      Fonte: Wikipedia
      Carregamento por: Knoema
      Acesso em 14 agosto, 2018
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      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