Lebanon

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  • 400+ Downloads
    Time Period of the Dataset [?]: May 20, 2025-May 20, 2025 ... More
    Modified [?]: 21 May 2025
    Dataset Added on HDX [?]: 24 October 2024
    This dataset updates: Every day
    This dataset contains data obtained from the HDX Humanitarian API (HDX HAPI), which provides standardized humanitarian indicators designed for seamless interoperability from multiple sources. The data facilitates automated workflows and visualizations to support humanitarian decision making. For more information, please see the HDX HAPI landing page and documentation.
  • 200+ Downloads
    Time Period of the Dataset [?]: January 01, 2024-December 31, 2024 ... More
    Modified [?]: 21 May 2025
    Dataset Added on HDX [?]: 24 October 2024
    This dataset updates: Every day
    This dataset contains data obtained from the HDX Humanitarian API (HDX HAPI), which provides standardized humanitarian indicators designed for seamless interoperability from multiple sources. The data facilitates automated workflows and visualizations to support humanitarian decision making. For more information, please see the HDX HAPI landing page and documentation.
  • 1200+ Downloads
    Time Period of the Dataset [?]: January 01, 2020-April 17, 2025 ... More
    Modified [?]: 20 May 2025
    Dataset Added on HDX [?]: 15 June 2021
    This dataset updates: As needed
    This dataset contains agency- and open source events in which aid access, education and healthcare services were impacted by explosive weapons. Categorized by country. Please get in touch if you are interested in curated datasets: info@insecurityinsight.org This data collection is funded and supported by the European Union. The opinions expressed in it do not reflect in any way the position of the EU who are not responsible for the content expressed in this document. Insecurity Insight collaborates with the International Network on Explosive Weapons (INEW) in producing research and analysis on the harm and use of explosive weapons for the Explosive Weapons Monitor by documenting their effects on health care, education, and aid access.
  • 7000+ Downloads
    Time Period of the Dataset [?]: January 01, 2020-April 21, 2025 ... More
    Modified [?]: 20 May 2025
    Dataset Added on HDX [?]: 17 October 2018
    This dataset updates: As needed
    This dataset contains agency- and open source events published in the Education in Danger Monthly News Brief. Categorized by country. Please get in touch if you are interested in curated datasets: info@insecurityinsight.org
  • 1900+ Downloads
    Time Period of the Dataset [?]: July 04, 2021-March 15, 2023 ... More
    Modified [?]: 12 May 2025
    Dataset Added on HDX [?]: 15 December 2021
    This dataset updates: As needed
    Commuting zones are geographic areas where people live and work and are useful for understanding local economies, as well as how they differ from traditional boundaries. Learn more here: https://dataforgood.facebook.com/dfg/tools/commuting-zones
  • 2900+ Downloads
    Time Period of the Dataset [?]: January 07, 2020-March 17, 2025 ... More
    Modified [?]: 12 May 2025
    Dataset Added on HDX [?]: 11 January 2022
    This dataset updates: As needed
    This dataset contains publicly-reported cases of sexual violence by conflict actors, security personnel, and sexual violence violence that targets aid workers, educators, health workers and IDPS/refugees. Please get in touch if you are interested in curated datasets: info@insecurityinsight.org
  • 6100+ Downloads
    Time Period of the Dataset [?]: December 01, 2022-April 16, 2025 ... More
    Modified [?]: 4 May 2025
    Dataset Added on HDX [?]: 11 January 2024
    This dataset updates: Every month
    The Movement Distribution dataset shows the range of movement of people away from the area where they live on a daily basis. These maps are useful for projects focused on transportation, tourism, displacement, and other areas. More info available here: https://dataforgood.facebook.com/dfg/tools/movement-distribution-maps
  • 1000+ Downloads
    Time Period of the Dataset [?]: January 01, 2011-December 31, 2023 ... More
    Modified [?]: 27 April 2025
    Dataset Added on HDX [?]: 1 September 2017
    This dataset updates: Every month
    Data used to update country toplines in HDX. Contains data from World Bank's data portal.
  • 5800+ Downloads
    Time Period of the Dataset [?]: February 17, 2021-September 03, 2023 ... More
    Modified [?]: 4 March 2025
    Dataset Added on HDX [?]: 24 June 2021
    This dataset updates: Never
    In partnership with Yale, Meta launched a climate change opinion survey that explores public climate change knowledge, attitudes, policy preferences, and behaviors. 2023 aggregated survey responses now available. The 2022 survey includes respondents from nearly 200 countries and territories. We are sharing country level data from this survey, providing policymakers, research institutions, and nonprofits with an international view of public climate change opinion. For more information please see https://dataforgood.facebook.com/dfg/tools/climate-change-opinion-survey If you're interested in becoming a research partner and accessing record level data, please email dataforgood@fb.com.
  • 1200+ Downloads
    Time Period of the Dataset [?]: May 01, 2020-August 30, 2024 ... More
    Modified [?]: 4 March 2025
    Dataset Added on HDX [?]: 15 June 2020
    This dataset updates: As needed
    This dataset contains two APIs with daily COVID-19 Trends and Impact Survey data. The University of Maryland API is for accessing global survey data and CMU API is for accessing US survey data.
  • 700+ Downloads
    Time Period of the Dataset [?]: January 30, 2025-January 30, 2025 ... More
    Modified [?]: 19 February 2025
    Dataset Added on HDX [?]: 22 January 2025
    This dataset updates: As needed
    Data from the paper "Cross-Gender Social Ties Around the World", which is available here.
  • 32000+ Downloads
    Time Period of the Dataset [?]: October 13, 2021-March 15, 2024 ... More
    Modified [?]: 14 January 2025
    Dataset Added on HDX [?]: 2 June 2020
    This dataset updates: As needed
    We use an anonymized snapshot of all active Facebook users and their friendship networks to measure the intensity of connectedness between locations. The Social Connectedness Index (SCI) is a measure of the social connectedness between different geographies. Specifically, it measures the relative probability that two individuals across two locations are friends with each other on Facebook. Details on the underlying data and the construction of the index are provided in the “Facebook Social Connectedness Index - Data Notes.pdf” file. Please also see https://dataforgood.facebook.com/ as well as the associated research paper “Social Connectedness: Measurement, Determinants and Effects,” published in the Journal of Economic Perspectives (https://www.aeaweb.org/articles?id=10.1257/jep.32.3.259). Region identifiers are taken from GADM v2.8 https://gadm.org/download_country_v2.html. Future versions will update IDs to be compatible with the newest GADM version.
  • 6100+ Downloads
    Time Period of the Dataset [?]: December 17, 2020-January 11, 2024 ... More
    Modified [?]: 30 August 2024
    Dataset Added on HDX [?]: 17 December 2020
    This dataset updates: Never
    The map and chart below show the number of COVID-19 vaccination doses administered per 100 people within a given population. Note that this does not measure the total number of people that have been vaccinated (which is usually two doses).
  • 500+ Downloads
    Time Period of the Dataset [?]: March 01, 2020-May 15, 2023 ... More
    Modified [?]: 15 May 2023
    Dataset Added on HDX [?]: 15 May 2023
    This dataset updates: As needed
    Business Activity Trends During COVID-19 uses the rate that businesses post on Facebook compared to pre-crisis levels to measure how crisis events are affecting different economic sectors each day. Learn more details here: https://dataforgood.facebook.com/dfg/tools/business-activity-trends and https://dataforgood.facebook.com/dfg/resources/business-activity-trends-methodology-paper
  • 16000+ Downloads
    Time Period of the Dataset [?]: September 01, 2016-March 24, 2023 ... More
    Modified [?]: 24 March 2023
    Dataset Added on HDX [?]: 19 March 2019
    This dataset updates: Every three months
    More than 200 million businesses use Facebook globally. The goal of Meta’s quarterly Small Business Surveys is to learn about the unique perspectives, challenges and opportunities of small and medium-sized businesses (SMBs). The Future of Business (FoB) Survey is conducted biannually in partnership with the World Bank and the Organisation for Economic Cooperation and Development (OECD) across nearly 100 countries. 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. Meta also conducts the Global State of Small Business (GSoSB) Survey bi-annually in partnership with various academic partners across approximately 30 countries. Similarly to the FoB Survey, the target population is active Facebook Page Administrators, but also includes the general population of Facebook users. Survey questions for all surveys cover a range of topics depending on the survey wave such as business characteristics, challenges, financials and strategy in addition to custom modules related to regulation, gender inequity, access to finance, digital technologies, reduction in revenues, business closures, international trade, inflation, reduction of employees and challenges/needs of the business. Aggregated country level data for each survey wave is available to the public on HDX and controlled access microdata is available to Data for Good at Meta partners. Please visit https://dataforgood.facebook.com/dfg/tools/future-of-business-survey to apply for access to microdata or contact dataforgood@fb.com for any questions.
  • 500+ Downloads
    Time Period of the Dataset [?]: February 08, 2021-May 22, 2025 ... More
    Modified [?]: 29 December 2022
    Dataset Added on HDX [?]: 25 January 2021
    This dataset updates: Live
    Number of children 6-59 months admitted for TREATMENT OF SEVERE ACUTE MALNUTRITION (SAM) by country
  • 56000+ Downloads
    Time Period of the Dataset [?]: March 01, 2020-May 24, 2022 ... More
    Modified [?]: 24 May 2022
    Dataset Added on HDX [?]: 26 May 2020
    This dataset updates: As needed
    NOTE: We plan to no longer update this dataset after May 22 2022. These data sets are intended to inform researchers and public health experts about how populations are responding to physical distancing measures. In particular, there are two metrics, Change in Movement and Stay Put, that provide a slightly different perspective on movement trends. Change in Movement looks at how much people are moving around and compares it with a baseline period that predates most social distancing measures, while Stay Put looks at the fraction of the population that appear to stay within a small area during an entire day. Full details, including the privacy protections in this data, are available here: https://research.fb.com/blog/2020/06/protecting-privacy-in-facebook-mobility-data-during-the-covid-19-response/
  • 4800+ Downloads
    Time Period of the Dataset [?]: September 21, 2020-January 14, 2022 ... More
    Modified [?]: 14 January 2022
    Dataset Added on HDX [?]: 22 September 2020
    This dataset updates: As needed
    This data contains aggregated weighted statistics at the regional level by gender for the 2020 Survey on Gender Equality At Home as well as the country and regional level for the 2021 wave. The Survey on Gender Equality at Home generates a global snapshot of women and men’s access to resources, their time spent on unpaid care work, and their attitudes about equality. Researchers and nonprofits interested in access to survey microdata can apply at: https://dataforgood.facebook.com/dfg/tools/survey-on-gender-equality-at-home
  • 223000+ Downloads
    Time Period of the Dataset [?]: January 22, 2020-March 09, 2023 ... More
    Modified [?]: 28 July 2020
    Dataset Added on HDX [?]: 7 February 2020
    This dataset updates: As needed
    JHU Has Stopped Collecting Data As Of 03/10/2023 After three years of around-the-clock tracking of COVID-19 data from around the world, Johns Hopkins has discontinued the Coronavirus Resource Center’s operations. The site’s two raw data repositories will remain accessible for information collected from 1/22/20 to 3/10/23 on cases, deaths, vaccines, testing and demographics. Novel Corona Virus (COVID-19) epidemiological data since 22 January 2020. The data is compiled by the Johns Hopkins University Center for Systems Science and Engineering (JHU CCSE) from various sources including the World Health Organization (WHO), DXY.cn, BNO News, National Health Commission of the People’s Republic of China (NHC), China CDC (CCDC), Hong Kong Department of Health, Macau Government, Taiwan CDC, US CDC, Government of Canada, Australia Government Department of Health, European Centre for Disease Prevention and Control (ECDC), Ministry of Health Singapore (MOH), and others. JHU CCSE maintains the data on the 2019 Novel Coronavirus COVID-19 (2019-nCoV) Data Repository on Github. Fields available in the data include Province/State, Country/Region, Last Update, Confirmed, Suspected, Recovered, Deaths. On 23/03/2020, a new data structure was released. The current resources for the latest time series data are: time_series_covid19_confirmed_global.csv time_series_covid19_deaths_global.csv time_series_covid19_recovered_global.csv ---DEPRECATION WARNING--- The resources below ceased being updated on 22/03/2020 and were removed on 26/03/2020: time_series_19-covid-Confirmed.csv time_series_19-covid-Deaths.csv time_series_19-covid-Recovered.csv
  • 100+ Downloads
    Time Period of the Dataset [?]: May 27, 2020-December 03, 2022 ... More
    Modified [?]: 26 May 2020
    Dataset Added on HDX [?]: 26 May 2020
    This dataset updates: As needed
    NEWER ROAD MAPPING DATA CAN BE FOUND IN THE OVERTURE MAPS FOUNDATION RELEASES: https://overturemaps.org/ In conjunction with OpenStreetMap, we are creating tools that we hope will enable the mapping community to enjoy a faster & more accurate mapping experience. To this end, we used artificial intelligence to predict features on high-resolution satellite imagery; these features are then populated in our RapiD map editing tool. When combined with global-scale humanitarian efforts, we hope RapiD can help realize our vision of a more connected world. Find out more: https://mapwith.ai/