100+ datasets found
  1. Deadliest animals globally by annual number of human deaths 2022

    • statista.com
    Updated May 22, 2024
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    Statista (2024). Deadliest animals globally by annual number of human deaths 2022 [Dataset]. https://www.statista.com/statistics/448169/deadliest-creatures-in-the-world-by-number-of-human-deaths/
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    Dataset updated
    May 22, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    The deadliest animals in the world based on the number of human deaths per year is not a creature that humans usually find scary, such as a lion or snake. Mosquitos are by far the deadliest creature in the world when it comes to annual human deaths, causing around one million deaths per year, compared to 100,000 deaths from snakes and 250 from lions. Perhaps surpringly, dogs are the third deadliest animal to humans. Dogs are responsible for around 30,000 human deaths per year, with the vast majority of these deaths resulting from rabies that is transmitted from the dog.

    Malaria

    Mosquitos are the deadliest creature in the world because they transmit a number of deadly diseases, the worst of which is malaria. Malaria is a mosquito-borne disease caused by a parasite that results in fever, chills, headache, vomiting and, if left untreated, death. Malaria disproportionately affects poorer regions of the world such as Africa and South-East Asia. In 2020, there were around 627,000 deaths from malaria worldwide.

    Mosquito-borne diseases in the U.S.

    The most common mosquito-borne diseases reported in the United States include West Nile virus, malaria, and dengue viruses. Many of these cases, however, are from travelers who contracted the disease in another country - this is especially true for malaria, Zika, and dengue. In 2018, the states of California, New York, and Texas reported the highest number of mosquito-borne disease cases in the United States.

  2. f

    World human populations

    • figshare.com
    txt
    Updated Oct 6, 2021
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    cj lortie (2021). World human populations [Dataset]. http://doi.org/10.6084/m9.figshare.16746652.v1
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    txtAvailable download formats
    Dataset updated
    Oct 6, 2021
    Dataset provided by
    figshare
    Authors
    cj lortie
    License

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

    Area covered
    World
    Description

    Human population densities retrieved from UN open data resources in 1000 units.

  3. d

    Data from: HANPP Collection: Global Patterns in Human Appropriation of Net...

    • catalog.data.gov
    • s.cnmilf.com
    • +4more
    Updated Apr 24, 2025
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    SEDAC (2025). HANPP Collection: Global Patterns in Human Appropriation of Net Primary Productivity (HANPP) [Dataset]. https://catalog.data.gov/dataset/hanpp-collection-global-patterns-in-human-appropriation-of-net-primary-productivity-hanpp
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    Dataset updated
    Apr 24, 2025
    Dataset provided by
    SEDAC
    Description

    The HANPP Collection: Global Patterns in Human Appropriation of Net Primary Productivity (HANPP) represents a digital map of human appropriation of net primary productivity measured in Units of elemental carbon on a one-quarter degree global grid. Net primary productivity (NPP), the net amount of solar energy converted to plant organic matter through photosynthesis, can be measured in Units of elemental carbon and represents the primary food energy source for the world's ecosystems. Humans appropriate net primary productivity through the consumption of food, paper, wood and fiber, which alters the composition of the atmosphere, levels of biodiversity, energy flows within food webs and the provision of important ecosystem services. The data set is distributed by the Columbia University Center for International Earth Science Information Network (CIESIN).

  4. Global Human Footprint, version 2 (LWPv2)

    • globil-1-panda.hub.arcgis.com
    • idaho-epscor-gem3-uidaho.hub.arcgis.com
    Updated Apr 10, 2017
    + more versions
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    World Wide Fund for Nature (2017). Global Human Footprint, version 2 (LWPv2) [Dataset]. https://globil-1-panda.hub.arcgis.com/datasets/global-human-footprint-version-2-lwpv2
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    Dataset updated
    Apr 10, 2017
    Dataset authored and provided by
    World Wide Fund for Naturehttp://wwf.org/
    License

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

    Area covered
    Description

    DescriptionThe Global Human Footprint Index is the relative human influence in each terrestrial biome expressed as a percentage. The purpose is to provide an updated map of anthropogenic impacts on the environment in geographic projection which can be used in wildlife conservation planning, natural resource management, and research on human-environment interactions. Dataset Summary The Global Human Footprint Index Dataset of the Last of the Wild Project, Version 2, 2005 (LWP-2) is the Human Influence Index (HII) normalized by biome and realm. The HII is a global dataset of 1-kilometer grid cells, created from nine global data layers covering human population pressure (population density), human land use and infrastructure (built-up areas, nighttime lights, land use/land cover), and human access (coastlines, roads, railroads, navigable rivers). A value of zero represents the least influenced- the “most wild” part of the biome with value of 100 representing the most influenced (least wild) part of the biome. LimitationsBlank

  5. G

    Human rights and rule of law index by country, around the world |...

    • theglobaleconomy.com
    csv, excel, xml
    Updated May 25, 2019
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    Globalen LLC (2019). Human rights and rule of law index by country, around the world | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/rankings/human_rights_rule_law_index/
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    csv, excel, xmlAvailable download formats
    Dataset updated
    May 25, 2019
    Dataset authored and provided by
    Globalen LLC
    License

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

    Time period covered
    Dec 31, 2007 - Dec 31, 2024
    Area covered
    World
    Description

    The average for 2024 based on 175 countries was 5.42 index points. The highest value was in Iran: 10 index points and the lowest value was in Iceland: 0.2 index points. The indicator is available from 2007 to 2024. Below is a chart for all countries where data are available.

  6. d

    Global Human Settlement Layer: Population and Built-Up Estimates, and Degree...

    • catalog.data.gov
    • data.nasa.gov
    • +2more
    Updated Apr 24, 2025
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    SEDAC (2025). Global Human Settlement Layer: Population and Built-Up Estimates, and Degree of Urbanization Settlement Model Grid [Dataset]. https://catalog.data.gov/dataset/global-human-settlement-layer-population-and-built-up-estimates-and-degree-of-urbanization-35606
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    Dataset updated
    Apr 24, 2025
    Dataset provided by
    SEDAC
    Description

    The Global Human Settlement Layer: Population and Built-Up Estimates, and Degree of Urbanization Settlement Model Grid data set provides gridded data on human population (GHS-POP), built-up area (GHS-BUILT), and degree of urbanization (GHS-SMOD) across four time periods: 1975, 1990, 2000, and 2014 (BUILT) or 2015 (POP, SMOD). GHS-BUILT describes the percent built-up area for each 30 arc-second grid cell (approximately 1 km at the equator) based on Landsat imagery from each of the four time periods. GHS-POP consists of census data from the 2010 round of global census from Gridded Population of the World, Version 4, Revision 10 (GPWv4.10) spatially-allocated within census Units based on the percent built-up areas from GHS-BUILT. GHS-SMOD uses GHS-BUILT and GHS-POP in order to develop a standardized classification of degree of urbanization grid. The original data from the Joint Research Centre of the European Commission (JRC-EC) has been combined into a single data package in GeoTIFF format and reprojected from Mollweide Equal Area into WGS84 at 9 arc-second and 30 arc-second horizontal resolutions in order to support integration with a variety of global raster data sets.

  7. Last of the Wild Project, Version 2, 2005 (LWP-2): Global Human Footprint...

    • data.nasa.gov
    • data.staging.idas-ds1.appdat.jsc.nasa.gov
    • +3more
    Updated Apr 23, 2025
    + more versions
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    nasa.gov (2025). Last of the Wild Project, Version 2, 2005 (LWP-2): Global Human Footprint Dataset (Geographic) [Dataset]. https://data.nasa.gov/dataset/last-of-the-wild-project-version-2-2005-lwp-2-global-human-footprint-dataset-geographic
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    Dataset updated
    Apr 23, 2025
    Dataset provided by
    NASAhttp://nasa.gov/
    Description

    The Global Human Footprint Dataset of the Last of the Wild Project, Version 2, 2005 (LWP-2) is the Human Influence Index (HII) normalized by biome and realm. The HII is a global dataset of 1-kilometer grid cells, created from nine global data layers covering human population pressure (population density), human land use and infrastructure (built-up areas, nighttime lights, land use/land cover), and human access (coastlines, roads, railroads, navigable rivers). The dataset in Clarke 1866 Geographic Coordinate System is produced by the Wildlife Conservation Society (WCS) and the Columbia University Center for International Earth Science Information Network (CIESIN).

  8. a

    World Countries 50M Human Development Index TimeSeries

    • amerigeo.org
    • hub.arcgis.com
    • +2more
    Updated Feb 11, 2016
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    Maps.com (2016). World Countries 50M Human Development Index TimeSeries [Dataset]. https://www.amerigeo.org/maps/beyondmaps::world-countries-50m-human-development-index-timeseries
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    Dataset updated
    Feb 11, 2016
    Dataset provided by
    Maps.com
    License

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

    Area covered
    World,
    Description

    Countries from Natural Earth 50M scale data with a Human Development Index attribute, repeated for each of the following years: 1980, 1985, 1990, 1995, 2000, 2005, 2010, & 2013, to enable time-series display using the YEAR attribute. The Human Development Index measures achievement in 3 areas of human development: long life, good education and income. Specifically, the index is computed using life expectancy at birth, Mean years of schooling, expected years of schooling, and gross national income (GNI) per capita (PPP $). The United Nations categorizes the HDI values into 4 groups. In 2013 these groups were defined by the following HDI values: Very High: 0.736 and higher High: 0.615 to 0.735 Medium: 0.494 to 0.614 Low: 0.493 and lower

    Human Development Index attributes are from The World Bank: HDRO calculations based on data from UNDESA (2013a), Barro and Lee (2013), UNESCO Institute for Statistics (2013), UN Statistics Division (2014), World Bank (2014) and IMF (2014).

  9. Global Human Modification of Terrestrial Systems - Dataset - NASA Open Data...

    • data.staging.idas-ds1.appdat.jsc.nasa.gov
    Updated Apr 23, 2025
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    nasa.gov (2025). Global Human Modification of Terrestrial Systems - Dataset - NASA Open Data Portal [Dataset]. https://data.staging.idas-ds1.appdat.jsc.nasa.gov/dataset/global-human-modification-of-terrestrial-systems
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    Dataset updated
    Apr 23, 2025
    Dataset provided by
    NASAhttp://nasa.gov/
    Description

    The Global Human Modification of Terrestrial Systems data set provides a cumulative measure of the human modification of terrestrial lands across the globe at a 1-km resolution. It is a continuous 0-1 metric that reflects the proportion of a landscape modified, based on modeling the physical extents of 13 anthropogenic stressors and their estimated impacts using spatially-explicit global data sets with a median year of 2016.

  10. Lowest human-made and natural points in the world

    • statista.com
    Updated Mar 23, 2015
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    Statista (2015). Lowest human-made and natural points in the world [Dataset]. https://www.statista.com/statistics/504460/the-lowest-manmade-and-natural-points-on-earth/
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    Dataset updated
    Mar 23, 2015
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2015
    Area covered
    World
    Description

    This statistic shows the ten lowest points on earth. The world's lowest point is the Kola Borehole in Russia with a depth of 40,230 feet. The Kola Borehole is a result of a Soviet Union's drilling project which started in 1970 and was abandoned in 1989 due to temperatures that reached 180 degrees Celsius. The only purpose for this project was to drill as deep as possible into the Earth's crust.

  11. t

    Virtual Humans Global Market Report 2025

    • thebusinessresearchcompany.com
    pdf,excel,csv,ppt
    Updated Jan 15, 2025
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    The Business Research Company (2025). Virtual Humans Global Market Report 2025 [Dataset]. https://www.thebusinessresearchcompany.com/report/virtual-humans-global-market-report
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    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    Jan 15, 2025
    Dataset authored and provided by
    The Business Research Company
    License

    https://www.thebusinessresearchcompany.com/privacy-policyhttps://www.thebusinessresearchcompany.com/privacy-policy

    Description

    Global Virtual Humans market size is expected to reach $252.61 billion by 2029 at 48.5%, metaverse expansion fuels growth in the virtual humans market

  12. 03 - World Population - Esri GeoInquiries collection for Human Geography

    • library.ncge.org
    • hub.arcgis.com
    Updated Jun 8, 2020
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    NCGE (2020). 03 - World Population - Esri GeoInquiries collection for Human Geography [Dataset]. https://library.ncge.org/documents/90c9e15c392d4805bb5d683aa57598a4
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    Dataset updated
    Jun 8, 2020
    Dataset provided by
    National Council for Geographic Educationhttp://www.ncge.org/
    Authors
    NCGE
    Area covered
    World
    Description

    Students will explore the patterns of world population in terms of total population, arithmetic density, total fertility rate, natural increase rate, and infant mortality rate. The activity uses a web-based map and is tied to the AP Human Geography benchmarks. Learning outcomes:Students will be able to identify and explain the spatial patterns and distribution of world population based on total population, density, total fertility rate, natural increase rate, and infant mortality rate.Find more advanced human geography geoinquiries and explore all geoinquiries at http://www.esri.com/geoinquiries

  13. a

    World Countries 50M Human Development Index

    • hub.arcgis.com
    Updated Feb 11, 2016
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    Maps.com (2016). World Countries 50M Human Development Index [Dataset]. https://hub.arcgis.com/datasets/0bd845b384254cb09872d5bbae699206
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    Dataset updated
    Feb 11, 2016
    Dataset provided by
    Maps.com
    License

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

    Area covered
    World,
    Description

    Human Development Index by country for 2013. This is a filtered layer based on the "Human Development Index by country, 1980-2010 time-series" layer.The Human Development Index measures achievement in 3 areas of human development: long life, good education and income. Specifically, the index is computed using life expectancy at birth, Mean years of schooling, expected years of schooling, and gross national income (GNI) per capita (PPP $).The United Nations categorizes the HDI values into 4 groups. In 2013 these groups were defined by the following HDI values:

    Very High Human Development: 0.736 and higher High Human Development: 0.615 to 0.735 Medium Human Development: 0.494 to 0.614 Low Human Development: 0.493 and lower

    Country shapes from Natural Earth 50M scale data. Human Development Index attributes are from The World Bank: HDRO calculations based on data from UNDESA (2013a), Barro and Lee (2013), UNESCO Institute for Statistics (2013), UN Statistics Division (2014), World Bank (2014) and IMF (2014).

  14. d

    Last of the Wild Project, Version 2, 2005 (LWP-2): Global Human Influence...

    • catalog.data.gov
    • data.staging.idas-ds1.appdat.jsc.nasa.gov
    • +3more
    Updated Apr 24, 2025
    + more versions
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    SEDAC (2025). Last of the Wild Project, Version 2, 2005 (LWP-2): Global Human Influence Index (HII) Dataset (Geographic) [Dataset]. https://catalog.data.gov/dataset/last-of-the-wild-project-version-2-2005-lwp-2-global-human-influence-index-hii-dataset-geo
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    Dataset updated
    Apr 24, 2025
    Dataset provided by
    SEDAC
    Description

    The Global Human Influence Index Dataset of the Last of the Wild Project, Version 2, 2005 (LWP-2) is a global dataset of 1-kilometer grid cells, created from nine global data layers covering human population pressure (population density), human land use and infrastructure (built-up areas, nighttime lights, land use/land cover), and human access (coastlines, roads, railroads, navigable rivers). The dataset in Clarke 1866 Geographic Coordinate System is produced by the Wildlife Conservation Society (WCS) and the Columbia University Center for International Earth Science Information Network (CIESIN).

  15. G

    Human development by country, around the world | TheGlobalEconomy.com

    • theglobaleconomy.com
    csv, excel, xml
    Updated Jun 3, 2025
    + more versions
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    Globalen LLC (2025). Human development by country, around the world | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/rankings/human_development/
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    excel, csv, xmlAvailable download formats
    Dataset updated
    Jun 3, 2025
    Dataset authored and provided by
    Globalen LLC
    License

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

    Time period covered
    Dec 31, 1980 - Dec 31, 2023
    Area covered
    World, World
    Description

    The average for 2023 based on 184 countries was 0.744 points. The highest value was in Iceland: 0.972 points and the lowest value was in South Africa: 0.388 points. The indicator is available from 1980 to 2023. Below is a chart for all countries where data are available.

  16. M

    World Population (1950-2025)

    • macrotrends.net
    csv
    Updated Jun 30, 2025
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    MACROTRENDS (2025). World Population (1950-2025) [Dataset]. https://www.macrotrends.net/global-metrics/countries/wld/world/population
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    csvAvailable download formats
    Dataset updated
    Jun 30, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

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

    Time period covered
    Jan 1, 1950 - Dec 31, 2025
    Area covered
    World, World
    Description

    Historical chart and dataset showing total population for the world by year from 1950 to 2025.

  17. Global 100m Terrestrial Human Footprint (HFP-100)

    • data.niaid.nih.gov
    • datadryad.org
    zip
    Updated Nov 1, 2023
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    Joseph Mazzariello; Francis Gassert (2023). Global 100m Terrestrial Human Footprint (HFP-100) [Dataset]. http://doi.org/10.5061/dryad.ttdz08m1f
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    zipAvailable download formats
    Dataset updated
    Nov 1, 2023
    Dataset provided by
    Vizzuality (Spain)
    Impact Observatory, Inc.
    Authors
    Joseph Mazzariello; Francis Gassert
    License

    https://spdx.org/licenses/CC0-1.0.htmlhttps://spdx.org/licenses/CC0-1.0.html

    Description

    Maps depicting the intensity of human pressure on the environment have become a critical tool for spatial planning and management, monitoring the extent of human influence across Earth, and identifying critical remaining intact habitat. Yet, these maps are often years out of date by the time they are available to scientists and policy-makers. Here we provide an updated Human Footprint methodology to run on an annual basis to monitor changing anthropogenic pressures. Software and methods are parameterized to enable regular updates in the future. In addition, we release a 100-meter global dataset for the years 2015–2019 and 2020 based on land use, population, infrastructure, and accessibility data. Results show high levels of agreement in validation against expert-interpreted satellite imagery and improved performance compared to previous iterations of similar datasets. These maps are directly relevant to measuring progress towards national and international targets related to biodiversity conservation and sustainable development. Methods This dataset was created by combining data on human pressures across the period 2015 to 2019 and for 2020 to map: 1) Land cover change (built environments, crop lands, and pasture lands), 2) population density, 3) electric infrastructure, 4) roadways, 5) railways, and 6) navigable waterways. Each pressure layer is assigned a score relative to its level of human pressure, then computed into a standardized scale of 0–50 as the sum of all pressure layers. Pressures are not mutually exclusive, rather the co-occurrence of pressures is intended to identify the greatest levels of human impact. The majority of layers cover the complete time period of 2015–2020, however, pressures from pasture, roads, and railways are treated as static in the Human Footprint maps due to limitations in the input datasets. Scripts used to produce this data are available at: https://gitlab.com/impactobservatory/dwi-humanfootprint Overall methodology is based on the following: --B. A. Williams, O. Venter, J. R. Allan, S. C. Atkinson, J. A. Rehbein, M. Ward, M. Di Marco, H. S. Grantham, J. Ervin, S. J. Goetz, A. J. Hansen, P. Jantz, R. Pillay, S. Rodríguez-Buriticá, C. Supples, A. L. S. Virnig, J. E. M. Watson, Change in Terrestrial Human Footprint Drives Continued Loss of Intact Ecosystems. One Earth. 3, 371–382 (2020). --E. W. Sanderson, M. Jaiteh, M. A. Levy, K. H. Redford, A. V. Wannebo, G. Woolmer, The Human Footprint and the Last of the Wild: The human footprint is a global map of human influence on the land surface, which suggests that human beings are stewards of nature, whether we like it or not. BioScience. 52, 891–904 (2002). --O. Venter, E. W. Sanderson, A. Magrach, J. R. Allan, J. Beher, K. R. Jones, H. P. Possingham, W. F. Laurance, P. Wood, B. M. Fekete, M. A. Levy, J. E. M. Watson, Global terrestrial Human Footprint maps for 1993 and 2009. Sci. Data. 3, 160067 (2016). Please see the following for more detail: Gassert F, Venter O, Watson JEM, Brumby SP, Mazzariello JC, Atkinson SC and Hyde S, An operational approach to near real-time global high-resolution mapping of the terrestrial human footprint. Front. Remote Sens. 4:1130896. doi: 10.3389/frsen.2023.1130896 (2023)

  18. Comparison of number of voice assistants and human population worldwide 2019...

    • statista.com
    Updated Mar 17, 2022
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    Statista (2022). Comparison of number of voice assistants and human population worldwide 2019 and 2023 [Dataset]. https://www.statista.com/statistics/1034436/worldwide-number-voice-assistant-human-population/
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    Dataset updated
    Mar 17, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2019
    Area covered
    World
    Description

    Estimates suggest that by 2023, the number of voice assistants in existence will be roughly equal to the global population, reaching around eight billion. As of 2019, this number stands at around 2.45 billion, implying that the voice assistant industry is set for continued, rapid growth over the coming years.

  19. e

    Recent pace of change in human impact on the world's ocean: Direct human...

    • knb.ecoinformatics.org
    • search.dataone.org
    • +1more
    Updated Aug 9, 2019
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    Melanie Frazier (2019). Recent pace of change in human impact on the world's ocean: Direct human disturbance [Dataset]. http://doi.org/10.5063/F1XG9PGM
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    Dataset updated
    Aug 9, 2019
    Dataset provided by
    Knowledge Network for Biocomplexity
    Authors
    Melanie Frazier
    Area covered
    World
    Description

    No description is available. Visit https://dataone.org/datasets/doi%3A10.5063%2FF1XG9PGM for complete metadata about this dataset.

  20. n

    Global Human Built-up And Settlement Extent (HBASE) Dataset From Landsat

    • earthdata.nasa.gov
    • data.staging.idas-ds1.appdat.jsc.nasa.gov
    • +2more
    Updated Jun 17, 2025
    + more versions
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    ESDIS (2025). Global Human Built-up And Settlement Extent (HBASE) Dataset From Landsat [Dataset]. http://doi.org/10.7927/H4DN434S
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    Dataset updated
    Jun 17, 2025
    Dataset authored and provided by
    ESDIS
    Description

    The Global Human Built-up And Settlement Extent (HBASE) Dataset from Landsat is a global map of HBASE derived from the Global Land Survey (GLS) Landsat dataset for the target year 2010. The HBASE dataset consists of two layers: 1) the HBASE mask; and 2) the pixel-wise probability of HBASE. These layers are co-registered to the same spatial extent at a common 30m spatial resolution. The spatial extent covers the entire globe except Antarctica and some small islands. This dataset is one of the first global, 30m datasets of urban extent to be derived from the GLS data for 2010 and is a companion dataset to the Global Man-made Impervious Surface (GMIS) dataset. The HBASE mask was created for post-processing of the GMIS dataset, but can also be utilized by users needing a binary map. The dataset is expected to have a rather broad spectrum of users, from those wishing to examine/study the fine details of urban land cover over the globe at full 30m resolution to global modelers trying to understand the climate/environmental impacts of man-made surfaces at continental to global scales. For example, the data are applicable to local modeling studies of urban impacts on the energy, water, and carbon cycles, as well as analyses at the individual country level.

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Statista (2024). Deadliest animals globally by annual number of human deaths 2022 [Dataset]. https://www.statista.com/statistics/448169/deadliest-creatures-in-the-world-by-number-of-human-deaths/
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Deadliest animals globally by annual number of human deaths 2022

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11 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
May 22, 2024
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
Worldwide
Description

The deadliest animals in the world based on the number of human deaths per year is not a creature that humans usually find scary, such as a lion or snake. Mosquitos are by far the deadliest creature in the world when it comes to annual human deaths, causing around one million deaths per year, compared to 100,000 deaths from snakes and 250 from lions. Perhaps surpringly, dogs are the third deadliest animal to humans. Dogs are responsible for around 30,000 human deaths per year, with the vast majority of these deaths resulting from rabies that is transmitted from the dog.

Malaria

Mosquitos are the deadliest creature in the world because they transmit a number of deadly diseases, the worst of which is malaria. Malaria is a mosquito-borne disease caused by a parasite that results in fever, chills, headache, vomiting and, if left untreated, death. Malaria disproportionately affects poorer regions of the world such as Africa and South-East Asia. In 2020, there were around 627,000 deaths from malaria worldwide.

Mosquito-borne diseases in the U.S.

The most common mosquito-borne diseases reported in the United States include West Nile virus, malaria, and dengue viruses. Many of these cases, however, are from travelers who contracted the disease in another country - this is especially true for malaria, Zika, and dengue. In 2018, the states of California, New York, and Texas reported the highest number of mosquito-borne disease cases in the United States.

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