7 datasets found
  1. Crude birth rate (births per 1000 population)

    • global-midwives-hub-directrelief.hub.arcgis.com
    • globalmidwiveshub.org
    • +1more
    Updated Mar 17, 2021
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    Direct Relief (2021). Crude birth rate (births per 1000 population) [Dataset]. https://global-midwives-hub-directrelief.hub.arcgis.com/datasets/crude-birth-rate-births-per-1000-population-1
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    Dataset updated
    Mar 17, 2021
    Dataset authored and provided by
    Direct Reliefhttp://directrelief.org/
    Area covered
    Pacific Ocean, North Pacific Ocean
    Description

    Definition:The crude birth rate is the annual number of live births per 1,000 population.Method of measurementThe crude birth rate is generally computed as a ratio. The numerator is the number of live births observed in a population during a reference period and the denominator is the number of person-years lived by the population during the same period. It is expressed as births per 1,000 population. Method of estimation:Data are taken from the most recent UN Population Division's "World Population Prospects". Other possible data sources:Population censusHousehold surveysPreferred data sources:Civil registration with complete coverageExpected frequency of data dissemination:Biennial (Two years)Data collected March 5, 2021 from: https://www.who.int/data/maternal-newborn-child-adolescent-ageing/indicator-explorer-new/mca/crude-birth-rate-(births-per-1000-population)

  2. t

    [DISCONTINUED] Suicide death rate, by age group - Vdataset - LDM

    • service.tib.eu
    Updated Jan 8, 2025
    + more versions
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    (2025). [DISCONTINUED] Suicide death rate, by age group - Vdataset - LDM [Dataset]. https://service.tib.eu/ldmservice/dataset/eurostat_wnhnylhfaz6eqpj67bag
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    Dataset updated
    Jan 8, 2025
    Description

    Dataset replaced by: http://data.europa.eu/euodp/data/dataset/CAJrcG2qBzdgHFsUWHFw This indicator is defined as the crude death rate from suicide and intentional self-harm per 100 000 people, by age group. Figures should be interpreted with care as suicide registration methods vary between countries and over time. Moreover, the figures do not include deaths from events of undetermined intent (part of which should be considered as suicides) and attempted suicides which did not result in death.

  3. OPEC oil price annually 1960-2025

    • statista.com
    Updated Mar 18, 2025
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    Statista (2025). OPEC oil price annually 1960-2025 [Dataset]. https://www.statista.com/statistics/262858/change-in-opec-crude-oil-prices-since-1960/
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    Dataset updated
    Mar 18, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    The 2025 annual OPEC oil price stood at 78.1 U.S. dollars per barrel, as of February. This would be lower than the 2024 average, which amounted to 79.86 U.S. dollars. The abbreviation OPEC stands for Organization of the Petroleum Exporting Countries and includes Algeria, Angola, Congo, Equatorial Guinea, Gabon, Iraq, Iran, Kuwait, Libya, Nigeria, Saudi Arabia, Venezuela, and the United Arab Emirates. The aim of the OPEC is to coordinate the oil policies of its member states. It was founded in 1960 in Baghdad, Iraq. The OPEC Reference Basket The OPEC crude oil price is defined by the price of the so-called OPEC (Reference) basket. This basket is an average of prices of the various petroleum blends that are produced by the OPEC members. Some of these oil blends are, for example: Saharan Blend from Algeria, Basra Light from Iraq, Arab Light from Saudi Arabia, BCF 17 from Venezuela, et cetera. By increasing and decreasing its oil production, OPEC tries to keep the price between a given maxima and minima. Benchmark crude oil The OPEC basket is one of the most important benchmarks for crude oil prices worldwide. Other significant benchmarks are UK Brent, West Texas Intermediate (WTI), and Dubai Crude (Fateh). Because there are many types and grades of oil, such benchmarks are indispensable for referencing them on the global oil market. The 2024 fall in prices was the result of weakened demand outlooks, primarily from China.

  4. f

    Crude incidence and prevalence of MS in Hungary between 2010 and 2015.

    • plos.figshare.com
    xls
    Updated Jun 4, 2023
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    Anna Iljicsov; Dániel Milanovich; András Ajtay; Ferenc Oberfrank; Mónika Bálint; Balázs Dobi; Dániel Bereczki; Magdolna Simó (2023). Crude incidence and prevalence of MS in Hungary between 2010 and 2015. [Dataset]. http://doi.org/10.1371/journal.pone.0236432.t002
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    xlsAvailable download formats
    Dataset updated
    Jun 4, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Anna Iljicsov; Dániel Milanovich; András Ajtay; Ferenc Oberfrank; Mónika Bálint; Balázs Dobi; Dániel Bereczki; Magdolna Simó
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Hungary
    Description

    Crude incidence and prevalence of MS in Hungary between 2010 and 2015.

  5. d

    AIHW - Health Risk Factors - Adults who are Daily Smokers Crude (%) (PHN)...

    • data.gov.au
    ogc:wfs, wms
    + more versions
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    AIHW - Health Risk Factors - Adults who are Daily Smokers Crude (%) (PHN) 2011-2015 [Dataset]. https://data.gov.au/dataset/ds-aurin-aurin%3Adatasource-AU_Govt_AIHW-UoM_AURIN_DB_aihw_hrf_crude_perc_daily_smoker_phn_2011_15
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    ogc:wfs, wmsAvailable download formats
    Description

    This dataset presents the footprint of the crude percentage of adults who are daily smokers. A current daily smoker was defined as a person who smokes one or more cigarettes, roll-your-own cigarettes, cigars or pipes at least once a day. Chewing tobacco, electronic cigarettes (and similar) and the smoking of non-tobacco products were excluded. As an indication of the accuracy of estimates, 95% confidence intervals were produced. These were calculated by the Australian Bureau of Statistics …Show full descriptionThis dataset presents the footprint of the crude percentage of adults who are daily smokers. A current daily smoker was defined as a person who smokes one or more cigarettes, roll-your-own cigarettes, cigars or pipes at least once a day. Chewing tobacco, electronic cigarettes (and similar) and the smoking of non-tobacco products were excluded. As an indication of the accuracy of estimates, 95% confidence intervals were produced. These were calculated by the Australian Bureau of Statistics (ABS) using standard error estimates of the proportion. The data spans the financial years of 2011-2012 and 2014-2015, and is aggregated to 2015 Department of Health Primary Health Network (PHN) areas, based on the 2011 Australian Statistical Geography Standard (ASGS). Health risk factors are attributes, characteristics or exposures that increase the likelihood of a person developing a disease or health disorder. Examples of health risk factors include risky alcohol consumption, physical inactivity and high blood pressure. High-quality information on health risk factors is important in providing an evidence base to inform health policy, program and service delivery. For further information about this dataset, visit the data source: Australian Institute of Health and Welfare - Health Risk Factors in 2014-2015 Data Tables. Please note: AURIN has spatially enabled the original data using the Department of Health - PHN Areas. The health risks factors reported are known to vary with age and the different PHN area populations are known to have a range of age structures. As such, comparisons of results between the PHN areas should be made with caution because the crude rates presented do not account for these age differences. Adults are defined as persons aged 18 years and over. Values assigned to "n.p." in the original data have been removed from the data. Data for PHN102, PHN107, PHN109 and PHN110 should be interpreted with caution, as the estimates have a relative standard error of 25% to 50% and should be used with caution. Data for PHN701 (Northern Territory) should be interpreted with caution as the National Health Survey excluded discrete Aboriginal and Torres Strait Islander communities and very remote areas, which comprise around 28% of the estimated resident population of the Northern Territory living in private dwellings. Copyright attribution: Government of the Commonwealth of Australia - Australian Institute of Health and Welfare, (2017): ; accessed from AURIN on 12/3/2020. Licence type: Creative Commons Attribution 3.0 Australia (CC BY 3.0 AU)

  6. a

    AIHW - Health Risk Factors - Adults who Consume over Two Standard Drinks per...

    • data.aurin.org.au
    Updated Jun 28, 2023
    + more versions
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    (2023). AIHW - Health Risk Factors - Adults who Consume over Two Standard Drinks per Day Crude (%) (PHN) 2014-2015 - Dataset - AURIN [Dataset]. https://data.aurin.org.au/dataset/au-govt-aihw-aihw-hrf-crude-perc-consume-two-std-drinks-phn-2014-15-phn2015
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    Dataset updated
    Jun 28, 2023
    License

    Attribution 3.0 (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/
    License information was derived automatically

    Description

    This dataset presents the footprint of the crude percentage of adults who consume more than two standard drinks per day on average. Lifetime risky alcohol consumption is defined as those adults who consume more than two standard drinks per day on average, thereby increasing their lifetime risk. As an indication of the accuracy of estimates, 95% confidence intervals were produced. These were calculated by the Australian Bureau of Statistics (ABS) using standard error estimates of the proportion. The data spans the financial year of 2014-2015 and is aggregated to 2015 Department of Health Primary Health Network (PHN) areas, based on the 2011 Australian Statistical Geography Standard (ASGS). Health risk factors are attributes, characteristics or exposures that increase the likelihood of a person developing a disease or health disorder. Examples of health risk factors include risky alcohol consumption, physical inactivity and high blood pressure. High-quality information on health risk factors is important in providing an evidence base to inform health policy, program and service delivery. For further information about this dataset, visit the data source: Australian Institute of Health and Welfare - Health Risk Factors in 2014-2015 Data Tables. Please note: AURIN has spatially enabled the original data using the Department of Health - PHN Areas. The health risks factors reported are known to vary with age and the different PHN area populations are known to have a range of age structures. As such, comparisons of results between the PHN areas should be made with caution because the crude rates presented do not account for these age differences. Adults are defined as persons aged 18 years and over. Values assigned to "n.p." in the original data have been removed from the data.

  7. f

    Number of households And household members included in the survey by...

    • plos.figshare.com
    • figshare.com
    xls
    Updated Jun 3, 2023
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    Anna Kuehne; Emily Lynch; Esaie Marshall; Amanda Tiffany; Ian Alley; Luke Bawo; Moses Massaquoi; Claudia Lodesani; Philippe Le Vaillant; Klaudia Porten; Etienne Gignoux (2023). Number of households And household members included in the survey by neighbourhood of residence; mortality, morbidity and health-seeking behaviour survey during the Ebola epidemic in Monrovia, Liberia, May 2014-March 2015. [Dataset]. http://doi.org/10.1371/journal.pntd.0004899.t003
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    xlsAvailable download formats
    Dataset updated
    Jun 3, 2023
    Dataset provided by
    PLOS Neglected Tropical Diseases
    Authors
    Anna Kuehne; Emily Lynch; Esaie Marshall; Amanda Tiffany; Ian Alley; Luke Bawo; Moses Massaquoi; Claudia Lodesani; Philippe Le Vaillant; Klaudia Porten; Etienne Gignoux
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Liberia, Monrovia
    Description

    Number of households And household members included in the survey by neighbourhood of residence; mortality, morbidity and health-seeking behaviour survey during the Ebola epidemic in Monrovia, Liberia, May 2014-March 2015.

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Direct Relief (2021). Crude birth rate (births per 1000 population) [Dataset]. https://global-midwives-hub-directrelief.hub.arcgis.com/datasets/crude-birth-rate-births-per-1000-population-1
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Crude birth rate (births per 1000 population)

Explore at:
Dataset updated
Mar 17, 2021
Dataset authored and provided by
Direct Reliefhttp://directrelief.org/
Area covered
Pacific Ocean, North Pacific Ocean
Description

Definition:The crude birth rate is the annual number of live births per 1,000 population.Method of measurementThe crude birth rate is generally computed as a ratio. The numerator is the number of live births observed in a population during a reference period and the denominator is the number of person-years lived by the population during the same period. It is expressed as births per 1,000 population. Method of estimation:Data are taken from the most recent UN Population Division's "World Population Prospects". Other possible data sources:Population censusHousehold surveysPreferred data sources:Civil registration with complete coverageExpected frequency of data dissemination:Biennial (Two years)Data collected March 5, 2021 from: https://www.who.int/data/maternal-newborn-child-adolescent-ageing/indicator-explorer-new/mca/crude-birth-rate-(births-per-1000-population)

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