Lebanon

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  • HDX HAPI Data for Lebanon
    HDX Humanitarian API Data
    500+ Downloads
    Time Period of the Dataset [?]: January 01, 1999-December 31, 2028 ... More
    Modified [?]: 17 May 2025
    Dataset Added on HDX [?]: 23 October 2024
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    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.
  • Lebanon: NDVI at Subnational Level
    WFP - World Food Programme
    200+ Downloads
    Time Period of the Dataset [?]: July 01, 2002-April 30, 2025 ... More
    Modified [?]: 13 May 2025
    Dataset Added on HDX [?]: 13 July 2023
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    This dataset updates: Every two weeks
    This dataset is part of the data series [?]: WFP - NDVI at Subnational Level
    This dataset contains dekadal NDVI indicators computed from NASA's Moderate Resolution Imaging Spectroradiometer (MODIS) collection 6.1 from the Aqua and Terra satellite aggregated by sub-national administrative units. Included indicators are (for each dekad): 10 day NDVI (vim) NDVI long term average (vim_lta) 10 day NDVI anomaly [%] (viq) The administrative units used for aggregation are based on WFP data and contain a Pcode reference attributed to each unit. The number of input pixels used to create the aggregates, is provided in the n_pixelscolumn.
  • Lebanon: Rainfall Indicators at Subnational Level
    WFP - World Food Programme
    200+ Downloads
    Time Period of the Dataset [?]: January 01, 1981-May 10, 2025 ... More
    Modified [?]: 13 May 2025
    Dataset Added on HDX [?]: 13 July 2023
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    This dataset updates: Every two weeks
    This dataset is part of the data series [?]: WFP - Rainfall Indicators at Subnational Level
    This dataset contains dekadal rainfall indicators computed from Climate Hazards Group InfraRed Precipitation satellite imagery with insitu Station data (CHIRPS) version 2, aggregated by subnational administrative units. Included indicators are (for each dekad): 10 day rainfall [mm] (rfh) rainfall 1-month rolling aggregation [mm] (r1h) rainfall 3-month rolling aggregation [mm] (r3h) rainfall long term average [mm] (rfh_avg) rainfall 1-month rolling aggregation long term average [mm] (r1h_avg) rainfall 3-month rolling aggregation long term average [mm] (r3h_avg) rainfall anomaly [%] (rfq) rainfall 1-month anomaly [%] (r1q) rainfall 3-month anomaly [%] (r3q) The administrative units used for aggregation are based on WFP data and contain a Pcode reference attributed to each unit. The number of input pixels used to create the aggregates, is provided in the n_pixelscolumn.
  • Lebanon - Economic, Social, Environmental, Health, Education, Development and Energy
    World Bank Group
    400+ Downloads
    Time Period of the Dataset [?]: January 01, 1960-December 31, 2024 ... More
    Modified [?]: 27 April 2025
    Dataset Added on HDX [?]: 28 June 2017
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    This dataset updates: Every month
    This dataset is part of the data series [?]: World Bank - Economic Social Environmental Health Education Development and Energy
    Contains data from the World Bank's data portal covering the following topics which also exist as individual datasets on HDX: Agriculture and Rural Development, Aid Effectiveness, Economy and Growth, Education, Energy and Mining, Environment, Financial Sector, Health, Infrastructure, Social Protection and Labor, Poverty, Private Sector, Public Sector, Science and Technology, Social Development, Urban Development, Gender, Climate Change, External Debt, Trade.
  • Lebanon - Climate Change
    World Bank Group
    300+ Downloads
    Time Period of the Dataset [?]: January 01, 1960-December 31, 2024 ... More
    Modified [?]: 27 April 2025
    Dataset Added on HDX [?]: 19 November 2019
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    This dataset updates: Every month
    This dataset is part of the data series [?]: World Bank - Climate Change
    Contains data from the World Bank's data portal. There is also a consolidated country dataset on HDX. Climate change is expected to hit developing countries the hardest. Its effects—higher temperatures, changes in precipitation patterns, rising sea levels, and more frequent weather-related disasters—pose risks for agriculture, food, and water supplies. At stake are recent gains in the fight against poverty, hunger and disease, and the lives and livelihoods of billions of people in developing countries. Addressing climate change requires unprecedented global cooperation across borders. The World Bank Group is helping support developing countries and contributing to a global solution, while tailoring our approach to the differing needs of developing country partners. Data here cover climate systems, exposure to climate impacts, resilience, greenhouse gas emissions, and energy use. Other indicators relevant to climate change are found under other data pages, particularly Environment, Agriculture & Rural Development, Energy & Mining, Health, Infrastructure, Poverty, and Urban Development.
  • Climate Change Opinion Survey
    Data for Good at Meta
    6000+ Downloads
    Time Period of the Dataset [?]: February 17, 2021-September 03, 2023 ... More
    Modified [?]: 4 March 2025
    Dataset Added on HDX [?]: 24 June 2021
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    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.