Data Series: Whether or not ratified ILO convention 175 on part-time work Indicator: QI.2 - Extent of country commitment to support reconciliation of work and family life Source year: 2023 This dataset is part of the Minimum Gender Dataset compiled by the United Nations Statistics Division. Domain: Economic structures, participation in productive activities and access to resources
Data Series: Proportion of women in managerial positions Indicator: IV.3 - Proportion of women in managerial positions Source year: 2023 This dataset is part of the Minimum Gender Dataset compiled by the United Nations Statistics Division. Domain: Public life and decision-making
Data Series: Average number of hours spent on unpaid domestic and care work, by sex, age and location Indicator: I.1 - Average number of hours spent on unpaid domestic and care work, by sex, age and location Source year: 2024 This dataset is part of the Minimum Gender Dataset compiled by the United Nations Statistics Division. Domain: Economic structures, participation in productive activities and access to resources
Data Series: Proportion of employed who are employers, by sex Indicator: I.4 - Proportion of employed, by sex and status in self-employment Source year: 2023 This dataset is part of the Minimum Gender Dataset compiled by the United Nations Statistics Division. Domain: Economic structures, participation in productive activities and access to resources
Data Series: Whether or not ratified ILO convention 156 on workers with familiy responsibilities Indicator: QI.2 - Extent of country commitment to support reconciliation of work and family life Source year: 2023 This dataset is part of the Minimum Gender Dataset compiled by the United Nations Statistics Division. Domain: Economic structures, participation in productive activities and access to resources
Data Series: Proportion of women in senior and middle management positions Indicator: IV.3 - Proportion of women in managerial positions Source year: 2023 This dataset is part of the Minimum Gender Dataset compiled by the United Nations Statistics Division. Domain: Public life and decision-making
Data Series: Whether or not ratified ILO convention 100 on equal remuneration for women and men Indicator: QI.1 - Extent of country commitment to gender equality in employment Source year: 2023 This dataset is part of the Minimum Gender Dataset compiled by the United Nations Statistics Division. Domain: Economic structures, participation in productive activities and access to resources
Data Series: Whether or not ratified ILO convention 177 on home work Indicator: QI.2 - Extent of country commitment to support reconciliation of work and family life Source year: 2023 This dataset is part of the Minimum Gender Dataset compiled by the United Nations Statistics Division. Domain: Economic structures, participation in productive activities and access to resources
Data Series: Whether or not ratified ILO convention 183 on maternity protection Indicator: QI.2 - Extent of country commitment to support reconciliation of work and family life Source year: 2023 This dataset is part of the Minimum Gender Dataset compiled by the United Nations Statistics Division. Domain: Economic structures, participation in productive activities and access to resources
Series Name: Proportion of population below international poverty line (percent)Series Code: SI_POV_DAY1Release Version: 2021.Q2.G.03 This dataset is the part of the Global SDG Indicator Database compiled through the UN System in preparation for the Secretary-General's annual report on Progress towards the Sustainable Development Goals.Indicator 1.1.1: Proportion of the population living below the international poverty line by sex, age, employment status and geographic location (urban/rural)Target 1.1: By 2030, eradicate extreme poverty for all people everywhere, currently measured as people living on less than $1.25 a dayGoal 1: End poverty in all its forms everywhereFor more information on the compilation methodology of this dataset, see https://unstats.un.org/sdgs/metadata/
Data Series: Average number of hours spent on unpaid domestic work, by sex, age and location Indicator: I.1 - Average number of hours spent on unpaid domestic and care work, by sex, age and location Source year: 2023 This dataset is part of the Minimum Gender Dataset compiled by the United Nations Statistics Division. Domain: Economic structures, participation in productive activities and access to resources
Data Series: Completion rate, by sex, location and wealth quintile, lower secondary education Indicator: II.5 - Completion rate (primary education, lower secondary education) Source year: 2023 This dataset is part of the Minimum Gender Dataset compiled by the United Nations Statistics Division. Domain: Education
Series Name: Proportion of children engaged in economic activity by sex and age (percent)Series Code: SL_TLF_CHLDEARelease Version: 2020.Q2.G.03 This dataset is the part of the Global SDG Indicator Database compiled through the UN System in preparation for the Secretary-General's annual report on Progress towards the Sustainable Development Goals.Indicator 8.7.1: Proportion and number of children aged 5–17 years engaged in child labour, by sex and ageTarget 8.7: Take immediate and effective measures to eradicate forced labour, end modern slavery and human trafficking and secure the prohibition and elimination of the worst forms of child labour, including recruitment and use of child soldiers, and by 2025 end child labour in all its formsGoal 8: Promote sustained, inclusive and sustainable economic growth, full and productive employment and decent work for allFor more information on the compilation methodology of this dataset, see https://unstats.un.org/sdgs/metadata/
Data Series: Labour force participation rate for persons aged 15-24, by sex Indicator: I.3 - Labour force participation rates for persons aged 15-24 and 15+, by sex Source year: 2023 This dataset is part of the Minimum Gender Dataset compiled by the United Nations Statistics Division. Domain: Economic structures, participation in productive activities and access to resources
The World Database on Protected Areas (WDPA) interactive map represents the most complete data set on the world's terrestrial and marine protected areas. It shows a picture of the extent, location, name, status and other useful information on the world’s protected areas. The World Database on Protected Areas (WDPA) is a joint project between the United Nations Environment Programme (UNEP) and the International Union for Conservation of Nature (IUCN), managed by United Nations Environment Programme's World Conservation Monitoring Centre (UNEP-WCMC). In collaboration with governments, non-governmental organisations, academia and industry, it is the only global database of marine and terrestrial protected areas, comprising both spatial data (i.e. boundaries) and attribute data (i.e. descriptive information). The WDPA is used to track progress towards international biodiversity and development targets, identify new priority areas for protection, and flag sensitive conservation areas that should be avoided in industrial development projects. Source: The World Database on Protected Areas (WDPA)
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Users can view maps, spatial, and statistical information drawn from different databases around the world. In addition, users can download data sets pertaining to prevalence and location of health facilities. Background The World Health Organization GeoNetwork is a geographic information management system that contains geo-referenced data sets and maps to facilitate the planning and monitoring of health related activities and health conditions. Information is available regarding the prevalence and location of health facilities. User Functionality Users must download the Geographic Information Systems (GIS) and Remote-Sensing (RSS) software applications to interact with the data tools, including digital maps, satellite images, and other geographic information. To obtain maps and other geographic information, users can search by term or geographic location or conduct an advanced search by time frame, year, and geographic location. There is a useful manual located under the “Help” tab, which enables users to learn more about GIS and how to use the GeoNetwork. Data Notes Data sources include: Food and Agriculture Organization of the United Nations (FAO), World Food Programme (WFP), and the United Nations Environment Programme (UNEP). The website announces datasets that have most recently been added to the GeoNetwork, but does not indicate the date it was updated.
Series Name: Proportion of population using basic drinking water services by location (percent)Series Code: SP_ACS_BSRVH2ORelease Version: 2020.Q2.G.03 This dataset is the part of the Global SDG Indicator Database compiled through the UN System in preparation for the Secretary-General's annual report on Progress towards the Sustainable Development Goals.Indicator 1.4.1: Proportion of population living in households with access to basic servicesTarget 1.4: By 2030, ensure that all men and women, in particular the poor and the vulnerable, have equal rights to economic resources, as well as access to basic services, ownership and control over land and other forms of property, inheritance, natural resources, appropriate new technology and financial services, including microfinanceGoal 1: End poverty in all its forms everywhereFor more information on the compilation methodology of this dataset, see https://unstats.un.org/sdgs/metadata/
The World Terrestrial Ecosystems map classifies the world into areas of similar climate, landform, and land cover, which form the basic components of any terrestrial ecosystem structure. This map is important because it uses objectively derived and globally consistent data to characterize the ecosystems at a much finer spatial resolution (250-m) than existing ecoregionalizations, and a much finer thematic resolution (431 classes) than existing global land cover products. This item was updated on Apr 14, 2023 to distinguish between Boreal and Polar climate regions in the terrestrial ecosystems. Cell Size: 250-meter Source Type: ThematicPixel Type: 16 Bit UnsignedData Projection: GCS WGS84Extent: GlobalSource: USGS, The Nature Conservancy, EsriUpdate Cycle: NoneWhat can you do with this layer?This map allows you to query the land surface pixels and returns the values of all the input parameters (landform type, landcover/vegetation type, climate region) and the name of the terrestrial ecosystem at that location.This layer can be used in analysis at global and local regions. However, for large scale spatial analysis, we have also provided an ArcGIS Pro Package that contains the original raster data with multiple table attributes. For simple mapping applications, there is also a raster tile layer. This layer can be combined with the World Protected Areas Database to assess the types of ecosystems that are protected, and progress towards meeting conservation goals. The WDPA layer updates monthly from the United Nations Environment Programme.Developing the World Terrestrial EcosystemsWorld Terrestrial Ecosystems map was produced by adopting and modifying the Intergovernmental Panel on Climate Change (IPCC) approach on the definition of Terrestrial Ecosystems and development of standardized global climate regions using the values of environmental moisture regime and temperature regime. We then combined the values of Global Climate Regions, Landforms and matrix-forming vegetation assemblage or land use, using the ArcGIS Combine tool (Spatial Analyst) to produce World Ecosystems Dataset. This combination resulted of 431 World Ecosystems classes.Each combination was assigned a color using an algorithm that blended traditional color schemes for each of the three components. Every pixel in this map is symbolized by a combination of values for each of these fields.The work from this collaboration is documented in the publication:Sayre et al. 2020. An assessment of the representation of ecosystems in global protected areas using new maps of World Climate Regions and World Ecosystems - Global Ecology and Conservation More information about World Terrestrial Ecosystems can be found in this Story Map.
This activity requires you to comprehensively apply spatial analysis, with direction, to solve a geographic problem.The Problem - AIDS a Global Phenomenon.Work with the United Nations World Health Organisation (WHO) to provide a report that describes the distribution of AIDS and explores some of the contributing factors to this pattern.
This map is a visualization of UNEP project interventions in regions. The information is generated based on biannual progress reporting. Each geographical area of intervention is characterized by a main category or work executed in that geographic area: either normative, post-conflict or operational activities for development.Source: UNEP
Data Series: Whether or not ratified ILO convention 175 on part-time work Indicator: QI.2 - Extent of country commitment to support reconciliation of work and family life Source year: 2023 This dataset is part of the Minimum Gender Dataset compiled by the United Nations Statistics Division. Domain: Economic structures, participation in productive activities and access to resources