• Category Archives RSD
  • MoAF to implement the Strategic Plan for RNR Statistics

    The Strategic Plan for Renewable Natural Resources Statistics (SPRNRS) has been developed in compliance to the roadmap, preceded by an In-depth Country Assessment of the National System for RNR Statistics in Bhutan (IdCA). The IdCA identified that the existing RNR statistical system is characterized by gaps in information quality, inconsistency in data, inadequate availability and accessibility to users and inadequate human and technological capacity to meet user requirements. Therefore, the purpose of this strategy plan is to provide a framework and methodology that will enhance the quality and availability of RNR statistics to guide policy analysis and informed decision making.

    The implementation of SP-RNRS is expected to bring about transformational change of the current state of RNR statistics – characterized by gaps in information quality – to a system that meets the requirement of relevant users, producing statistics of good quality and coverage being managed by appropriate professionals with good statistical capacity through application of modern technological tools. The SPRNRS is approved and endorsed by the RNR-GNHC in June 2018, the highest decision-making body in the MoAF.

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  • MoAF releases the RNR Statistical Framework 2018 (RSF 2018)

    The Ministry of Agriculture and Forests releases the RNR Statistical Framework 2018 (RSF 2018), which shall be the guiding document for all statistical activities within the domain of RNR Sector. The need for reliable, timely and credible RNR data is ever increasing, because more than 60 percent of the Bhutanese population depend on RNR sector for their livelihood. In view of the predominant position of the RNR sector, the collection, analysis, validation, dissemination and storage of RNR statistics assume great importance. Therefore, right information, in the right form, at the right time is needed to make informed decisions and policy formulation.

    The main objective of the RNR Statistical Framework is to generate reliable, quality and timely RNR statistics for evidence-based decision-making by streamlining statistical mandates, strengthening coordination mechanisms and promoting use of appropriate methodologies. The RSF 2018 is published by the RNR Statistics Division (RSD) of MoAF after being reviewed by RNR Statistics Technical Working Group (RS-TWG). Finally, the RSF 2018 is approved and endorsed for implementation by the RNR-GNHC, the apex decision-making body in the MoAF.

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  • Farm road ATLAS of Bhutan 2017

    Recognizing the need and importance of spatial farm road data for monitoring and planning purposes, the Geographic InformationSystem and Remote Sensing Section (GIS&RSS) of the Renewable Natural Resources Statistics Division (RSD), is please to publish this Atlas on farm roads in Bhutan. It is an update on the farm road atlas of 2012, using data from various sources. It presents spatial map on roads, in particular farm roads, zig-zagging across the country side and give viewers an idea of the level of connectivity of rural communities to the major national highways and accessibility to markets.

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  • Office Complex Location Map, Tashichho Dzong

    The Geographic Information System & Remote Sensing Section of the Renewable Natural Resources Statistics Division, Directorate Services, MoAF is pleased to release the maps showing spatial location of Ministry’s office complex near Tashichho Dzong. The map was prepared by two internship students from University of Petroleum and Energy Studies (UPES), Dehradun, India namely Mr. Ugyen Tshering and Ms. Dechen Wangmo, studying in 2nd year, B.Tech Geo Informatic Engineering under the mentorship of Mr. Rinchen Dorji ,Sr. GIS Officer,RSD, DS, MoAF. The map was produced, as we have seen many visitors having difficulty in locating the offices and it shows the detail location of offices and other important features like the entrances, road networks, reserved parking , electric boxes, water tank, electric vehicle charging point etc.

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