In this Handbook, we presented the key steps to generate displacement and disaster indicators, including methodological approaches for producing statistical outputs, institutional frameworks, and data pipelines. However, the related challenges and successes are still unique to an extent in that they were a result of accessing CDR data. In many instances, securing data access remains difficult. It requires a lot of effort, time, and coordination and it remains a key limitation in the use of CDR data for official statistics. For example, after the onset of COVID-19 Google Limited Liability Company released the COVID-19 Community Mobility Reports. The reports chart movement trends over time by geography, across different categories of places such as retail and recreation, groceries and pharmacies, parks, transit stations, workplaces, and residential. These aggregates are generated using data from the users of their services, who opt-in for data collection (default is not to allow). Facebook, Inc. shares various maps such as Movement Range Maps through the Facebook Data for Good platform. The Movement Range Maps provides two mobility metrics, which are designed to indicate changes in Movement and Stay Put. The change in Movement metric looks at how much people are moving around and compares it to a baseline period that predates most social distancing measures. The Stay Put metric looks at the fraction of the population that appears to stay within a small area surrounding their home for an entire day. Cuebiq Inc. provides through their Data for Good Program. They provide access to anonymous, privacy-compliant location-based data for humanitarian initiatives related to human mobility. Detailed reports on mobility trends during disasters are made available for their partners to provide insights into the scale, duration and effects of evacuations. These provide access to anonymous privacy-compliant location-based data for humanitarian initiatives related to human mobility.

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