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  • Dataset

    By Innovation in Citizen Services Division (VPS/IFD/ICS)
    This dataset corresponds to a survey performed between July and September of 2015 on 6 countries from Latin America and the Caribbean. 11,500 citizens provided information about their experience with a specific set of government services.
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    By Department of Research and Chief Economist (VPS/RES/RES)
    This dataset was created to support 2006 IPES - The Politics of Policies on the following topics: macroeconomics, government and democracy.
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    By Department of Research and Chief Economist (VPS/RES/RES)
    This file contains data at the firm level for the Enterprise survey 2010 and the Productivity, Technology and Innovation survey 2014 implemented in Suriname financed by IDB. Two data sets are provided to create the pseudo panel of firms. It is also attached technical information regarding data and questionnaires.
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    By Social Protection and Labor Markets Division (VPS/SCL/SPL)
    The database includes information on the evolution of the number of undergraduate students at universities along the central axis of Bolivia between the periods 2020-2021, according to the type of enrollment (new, enrolled, and graduates). For each of these groups, the evolution of the number of students was shown according to the legal nature of the university, the department, and the area of ​​knowledge. On the other hand, the same information was included for students at technical-level universities. This information allows us to characterize the number and distribution of professionals from both public and private universities in the central axis of the country. The data corresponds to the publication: Urquidi et al. (2023). Labor market survey in Bolivia: Supply 2022 at http://dx.doi.org/10.18235/0005374
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  • Dataset

    By Transport Division (VPS/INE/TSP)
    The "Database of suburban railways in Latin America" collects 56 indicators and benchmarks of suburban passenger railways, contained in 11 major themes. This information allows, on the one hand, to understand the dimension and characteristics of the level of activity of each of them, and on the other, through benchmarks, to know the operational-financial efficiency of their performance when compared with their peer railways.
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