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  • Switzerland - Food Security and Nutrition Indicators
    Food and Agriculture Organization (FAO) of the United Nations
    200+ Downloads
    Time Period of the Dataset [?]: January 01, 2000-December 31, 2023 ... More
    Modified [?]: 18 May 2025
    Dataset Added on HDX [?]: 10 March 2019
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    This dataset updates: Every year
    This dataset is part of the data series [?]: FAO - Food Security Indicators
    Food Security and Nutrition Indicators for Switzerland. Contains data from the FAOSTAT bulk data service.
  • Switzerland - Food Prices
    Food and Agriculture Organization (FAO) of the United Nations
    700+ Downloads
    Time Period of the Dataset [?]: January 01, 1991-December 31, 2024 ... More
    Modified [?]: 18 May 2025
    Dataset Added on HDX [?]: 4 May 2020
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    This dataset updates: Every year
    This dataset is part of the data series [?]: FAO - Food Prices
    Food Prices for Switzerland. Contains data from the FAOSTAT bulk data service covering the following categories: Consumer Price Indices, Deflators, Exchange rates, Producer Prices
  • Switzerland - Survey of intentions and perspectives of refugees from Ukraine - 2023
    UNHCR - The UN Refugee Agency
    10+ Downloads
    Time Period of the Dataset [?]: April 30, 2023-May 31, 2023 ... More
    Modified [?]: 23 September 2024
    Dataset Added on HDX [?]: 14 April 2024
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    This dataset updates: Never
    This dataset is a part of UNHCR's comprehensive survey series, focusing on the intentions and perspectives of Ukrainian refugees in Switzerland. Conducted in collaboration with Ipsos, the survey encompasses responses from 1,125 households, representing over 2,800 refugees. Utilizing a stratified probability sampling method, the survey targeted 10,000 refugees aged 18 and above with protection status in Switzerland, randomly selected from the SEM’s database. The dataset provides in-depth insights into refugees' socio-economic situations, profiles, intentions, and the factors influencing their decisions. This rigorous approach ensures that the sample is representative of the Ukrainian refugee population in Switzerland, with a maximum margin of error of about ±3.3%. This valuable resource is instrumental for stakeholders in shaping effective advocacy, programming, and policy decisions to support the refugee population. Weights were applied to the data for household composition, time of arrival, and linguistic region, based on available population statistics, to ensure a comprehensive understanding of the refugees' circumstances.