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  • 3300+ Downloads
    Updated June 24, 2020 | Dataset date: Jan 1, 2011-Dec 31, 2018
    This dataset updates: Every month
    Data used to update country toplines in HDX. Contains data from World Bank's data portal.
  • 5200+ Downloads
    Updated June 17, 2020 | Dataset date: Jan 1, 2015-May 31, 2020
    This dataset updates: Every month
    This dataset contains agency- and publicly-reported data for events in which an aid worker was killed, kidnapped, or arrested. Categorized by country.
  • 2600+ Downloads
    Updated June 10, 2020 | Dataset date: Jan 1, 2017-May 31, 2020
    This dataset updates: Every month
    The Safeguarding Health in Conflict Coalition (SHCC) is made up of 40 health provider organizations, humanitarian groups, human rights organizations, NGOs, and academic programs to take action to protect health workers and end attacks against them. This page is managed by SHCC member Insecurity Insight.
  • 2100+ Downloads
    Updated June 8, 2020 | Dataset date: Sep 1, 2016-Apr 1, 2018
    This dataset updates: As needed
    The Future of Business survey is a collaboration between Facebook, the OECD and the World Bank to provide timely insights on the perceptions, challenges, and outlook of online Small and Medium Enterprises (SMEs). The Future of Business survey was first launched as a monthly survey in 17 countries in February 2016 and expanded to 42 countries in 2018. In 2019, the Future of Business survey increased coverage to 97 countries and moved to a bi-annual cadence. The target population consists of SMEs that have an active Facebook business Page and include both newer and longer-standing businesses, spanning across a variety of sectors. To date, more than 90 million SMEs have created a Facebook Page, and more than 700,000 of these Facebook Page owners have taken the survey. With more businesses leveraging online tools each day, the survey provides a lens into a new mobilized, digital economy and, in particular, insights on the actors: a relatively unmeasured community worthy of deeper consideration and considerable policy interest. The survey includes questions about perceptions of current and future economic activity, challenges, business characteristics and strategy. Custom modules include questions related to regulation, access to finance, digital payments, and digital skills. The full questionnaire is available for download. This dataset contains survey response data aggregated by country and wave. Future of Business Survey website: futureofbusinesssurvey.org
  • 200+ Downloads
    Updated May 30, 2020 | Dataset date: Jan 1, 2008-Dec 31, 2019
    This dataset updates: Every year
    Internally displaced persons are defined according to the 1998 Guiding Principles (http://www.internal-displacement.org/publications/1998/ocha-guiding-principles-on-internal-displacement) as people or groups of people who have been forced or obliged to flee or to leave their homes or places of habitual residence, in particular as a result of armed conflict, or to avoid the effects of armed conflict, situations of generalized violence, violations of human rights, or natural or human-made disasters and who have not crossed an international border. "People Displaced" refers to the number of people living in displacement as of the end of each year. "New Displacement" refers to the number of new cases or incidents of displacement recorded, rather than the number of people displaced. This is done because people may have been displaced more than once. Contains data from IDMC's Global Internal Displacement Database.
  • 80+ Downloads
    Updated May 27, 2020 | Dataset date: Jul 7, 2020
    This dataset updates: As needed
    Immunization campaigns impacted due to COVID-19
  • 60+ Downloads
    Updated May 13, 2020 | Dataset date: Jan 1, 2017-May 13, 2020
    This dataset updates: As needed
    The IPC Acute Food Insecurity Country Data provides access to IPC population estimates from more than 30 countries. It allows users to download resource data for IPC analyses since 2017. All national population figures are based on official country population estimates. IPC estimates are those published in country IPC reports.
  • 1100+ Downloads
    Updated May 1, 2020 | Dataset date: Jan 1, 1970-Dec 31, 2019
    This dataset updates: Every three months
    Education indicators for Pakistan. Contains data from the UNESCO Institute for Statistics bulk data service covering the following categories: Students and Teachers (made 2020 February), Education Expenditure and Funding (made 2020 February), School Resources and Teaching Conditions in Africa (made 2020 February), SDG 4 Global and Thematic (made 2020 February), Demographic and Socio-economic (made 2020 February)
  • 30+ Downloads
    Updated April 29, 2020 | Dataset date: Jan 1, 1990-Dec 31, 2017
    This dataset updates: Every year
    The aim of the Human Development Report is to stimulate global, regional and national policy-relevant discussions on issues pertinent to human development. Accordingly, the data in the Report require the highest standards of data quality, consistency, international comparability and transparency. The Human Development Report Office (HDRO) fully subscribes to the Principles governing international statistical activities. The HDI was created to emphasize that people and their capabilities should be the ultimate criteria for assessing the development of a country, not economic growth alone. The HDI can also be used to question national policy choices, asking how two countries with the same level of GNI per capita can end up with different human development outcomes. These contrasts can stimulate debate about government policy priorities. The Human Development Index (HDI) is a summary measure of average achievement in key dimensions of human development: a long and healthy life, being knowledgeable and have a decent standard of living. The HDI is the geometric mean of normalized indices for each of the three dimensions. The 2019 Global Multidimensional Poverty Index (MPI) data shed light on the number of people experiencing poverty at regional, national and subnational levels, and reveal inequalities across countries and among the poor themselves.Jointly developed by the United Nations Development Programme (UNDP) and the Oxford Poverty and Human Development Initiative (OPHI) at the University of Oxford, the 2019 global MPI offers data for 101 countries, covering 76 percent of the global population. The MPI provides a comprehensive and in-depth picture of global poverty – in all its dimensions – and monitors progress towards Sustainable Development Goal (SDG) 1 – to end poverty in all its forms. It also provides policymakers with the data to respond to the call of Target 1.2, which is to ‘reduce at least by half the proportion of men, women, and children of all ages living in poverty in all its dimensions according to national definition'.
  • Updated Live | Dataset date: Jan 1, 2017-Dec 31, 2020
    This dataset updates: Live
    Projects proposed, in progress, or completed as part of the annual Pakistan Humanitarian Response Plans (HRPs) or other Humanitarian Programme Cycle plans. The original data is available on https://hpc.tools Note that some projects are not publicly listed, due to security or personal-privacy concerns.
  • 100+ Downloads
    Updated Live | Dataset date: Jan 1, 2008-Dec 31, 2027
    This dataset updates: Live
    List of airports in Pakistan, with latitude and longitude. Unverified community data from http://ourairports.com/countries/PK/
  • 500+ Downloads
    Updated April 25, 2020 | Dataset date: Sep 1, 2012
    This dataset updates: Never
    The dataset is based on the assessments and Health Resources Availability and Mapping (HeRAM) carried out by World Health Organization (WHO) in collaboration with health cluster partners during different emergencies in Pakistan. Please note that it is not necessary that the assessment covered all the health facilities in a particular district. These have now been provided with a 3 word address so those on the ground can communicate the location of each facility.
  • Updated April 17, 2020 | Dataset date: Aug 7, 2019
    This dataset updates: As needed
    Location of CMAM Surge sites in district Umerkot, Sindh
  • 30+ Downloads
    Updated April 17, 2020 | Dataset date: Oct 9, 2019
    This dataset updates: As needed
    Admin 2 level - District boundary of Punjab, Balochistan and KP
  • 10+ Downloads
    Updated April 17, 2020 | Dataset date: Oct 9, 2019
    This dataset updates: As needed
    Education institutions in Balochistan
  • Updated April 17, 2020 | Dataset date: Jan 1, 1992-Dec 31, 2015
    This dataset updates: As needed
    This layer contains information about the land degradation phenomenon observed during the Integrated Context Analysis (ICA) run in Pakistan in 2017. Data source: ESA (300m resolution) 1992-2015, FAO (lithology), WorldClim (rainfall incidence), land cover (NASA MODIS) and slope length (NASA SRTM digital elevation model). The key indicators used for the analysis were the average ecological change and the percentage of surface prone to erosion. It should be noted that land degradation, according to the current ICA methodology, is not a stand-alone map but has to be considered as a lens that, overlaid on top of the ICA Areas, provide further information to refine broad programmatic strategies. The brown-green scheme has just been used for the layer preview because, for the purposes of this analysis, only negative values of ecological change and districts with a surface prone to erosion above 20% have been used for the final map (see "ICA Pakistan, 2017 - Land Degradation 1992-2015" static map for further details). Original dataset title: ICA Pakistan, 2017 - Land Degradation, 1992-2015
  • Updated April 17, 2020 | Dataset date: Jan 1, 2017-Dec 31, 2017
    This dataset updates: As needed
    This layer contains information about the additional environmental hazards - landslides, Glacial Lake Outburst Flood (GLOF) and earthquakes - estimated during the Integrated Context Analysis (ICA) run in Pakistan in 2017. Data source: NDMA 1950-2015 (landslides and GLOF), NDMA 1905-2015 (earthquakes). The key indicators used for the analysis were 5-point scales of hazard levels ranging from very low to very high. It should be noted that these additional hazards represent aggravating factors that can provide further details to refine broad programmatic strategies, but are not to be considered as stand-alone maps. For the purpose of this analysis, only the high and very high hazards have been mapped on top of the ICA Areas (see the relative static maps for further details). Original dataset title: ICA Pakistan, 2017 - Additional Hazards
  • Updated April 17, 2020 | Dataset date: Jan 1, 2004-Dec 31, 2014
    This dataset updates: As needed
    This layer contains information about the risk of food insecurity according to the Integrated Context Analysis (ICA) performed in Pakistan in 2017. Given that no other food security outcome data was available at district level for the whole country, the analysis was carried out using poverty data as a proxy for vulnerability to food insecurity. Data source: UNDP, 2004/05 to 2005/06. The key indicator used for the analysis was the Multi-Dimensional Poverty Index (MPI), with the threshold set to 0.329 - average of all the district-level observations over 6 PSLM rounds. It should be noted that 33 districts in the country did not have MPI data available and are not covered by this specific analysis. Original dataset title: ICA Pakistan, 2017 - Recurrence of Vulnerability to Food Insecurity, 2004-2014
  • Updated April 17, 2020 | Dataset date: Jan 1, 2017-Dec 31, 2017
    This dataset updates: As needed
    This layer contains information about the final categorization, in the Federally Administered Tribal Areas (FATA), resulting from the Integrated Context Analysis (ICA) run in Pakistan in 2017, showing areas of convergence between high levels of food insecurity and propensity to natural shocks. Original dataset title: ICA Pakistan, FATA, 2017 - ICA Categories & Areas
  • Updated April 17, 2020 | Dataset date: Jan 1, 2014-Dec 31, 2017
    This dataset updates: As needed
    This layer contains information about the risk of food insecurity, in the Federally Administered Tribal Areas (FATA), according to the Integrated Context Analysis (ICA) performed in Pakistan in 2017. In absence of MPI data for FATA and considering existing circumstances and the importance of evidence based information, a different dataset has been used Data source: WFP In-depth Food Security and Livelihood Assessments 2014 & 2017, Multi-Cluster Humanitarian Needs Assessment 2016 The key indicator used for the analysis was the composite food insecurity rate developed under the Consolidated Approach to Reporting on Indicators of Food Security (CARI), with the threshold set to 38%. Original dataset title: ICA Pakistan, FATA, 2017 - Recurrence of Vulnerability to Food Insecurity, 2014-2017
  • Updated April 17, 2020 | Dataset date: Jan 1, 2017-Dec 31, 2017
    This dataset updates: As needed
    This layer contains information about the reclassification of the natural shocks risk (floods and drought) into a single combined score according to the Integrated Context Analysis (ICA) performed in Pakistan in 2017. Original dataset title: ICA Pakistan, 2017 - Combined Hazard (Floods and Droughts)
  • 10+ Downloads
    Updated April 17, 2020 | Dataset date: Jan 1, 2017-Dec 31, 2017
    This dataset updates: As needed
    This layer contains information about the final categorization resulting from the Integrated Context Analysis (ICA), run in Pakistan in 2017, showing areas of convergence between high recurrence of food insecurity and high propensity to natural shocks. Original dataset title: ICA Pakistan, 2017 - ICA Categories & Areas
  • 10+ Downloads
    Updated April 17, 2020 | Dataset date: Jan 1, 1950-Dec 31, 2015
    This dataset updates: As needed
    This layer contains information about the flood risk estimated during the Integrated Context Analysis (ICA) performed in Pakistan in 2017. The indicator used was the number of flood events recorded between 1950 and 2015 and the severity by which they were affected by the super-flood in 2010. Source: National Disaster Management Agency (NDMA) for Pakistan. Original dataset title: ICA Pakistan, 2017 - Flood Hazard, 1950-2015
  • Updated April 17, 2020 | Dataset date: Jan 1, 1951-Dec 31, 2010
    This dataset updates: As needed
    This layer contains information about the drought risk estimated during the Integrated Context Analysis (ICA) performed in Pakistan in 2017. Data source: National Drought Monitoring Centre of the Pakistan Meteorological Department (PMD), 1951-2010. The key indicator used for the analysis was a drought hazard index based on SPI data. Original dataset title: ICA Pakistan, 2017 - Drought Hazard, 1951-2010
  • 7900+ Downloads
    Updated Live | Dataset date: Jan 18, 2020-Jul 9, 2020
    This dataset updates: Live
    'Our World in Data' is compiling COVID-19 testing data over time for many countries around the world. They are adding further data in the coming days as more details become available for other countries. In some cases figures refer to the number of tests, in other cases to the number of individuals who have been tested. Refer to documentation provided here.