Skip navigation

A Multi-Country Capacity Assessment of National Statistical Offices Preparedness to Report on SDG Indicator 1.4.2: Global status on land tenure security data collection, analysis and on comparable indicators in the SDGs

A Multi-Country Capacity Assessment of National Statistical Offices Preparedness to Report on SDG Indicator 1.4.2: Global status on land tenure security data collection, analysis and on comparable indicators in the SDGs

Quan, Julian, Kumar, Ravinder and Mboup, Gora (2021) A Multi-Country Capacity Assessment of National Statistical Offices Preparedness to Report on SDG Indicator 1.4.2: Global status on land tenure security data collection, analysis and on comparable indicators in the SDGs. [Working Paper] (doi:HS Number: HS/003/18E)

[img]
Preview
PDF (Report on Findings of a Technical Study)
20134 QUAN_A Multi-Country_Capacity_Assessment_of NSO_Preparedness_to Report_on_SDG_2021.pdf - Published Version

Download (10MB) | Preview

Abstract

This report presents the results of the multi-country assessment carried out in 17 countries across the world. The findings of this assessment is expected to directly inform the work of the co-custodian agencies for land Indicator 1.4.2 (UN-Habitat and World Bank) in formulating a coherent capacity development strategy for NSOs at country level, and strengthen their collaboration with land agencies for enhanced data infrastructure needed to regularly report on this indicator. In addition, the findings will also inform capacity development initiatives for other custodians’ agencies working on land related indicators in the SDGs including 5.a.1; and the overall monitoring of tenure related issues in line with other land governance frameworks at global, regional levels and national levels.

Item Type: Working Paper
Uncontrolled Keywords: Land Tenure Security; Sustainable Development Goals; National Statistical Organisations; Indicators
Subjects: S Agriculture > S Agriculture (General)
Faculty / Department / Research Group: Faculty of Engineering & Science
Faculty of Engineering & Science > Natural Resources Institute
Faculty of Engineering & Science > Natural Resources Institute > Livelihoods & Institutions Department
Last Modified: 21 Jun 2018 16:26
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: GREAT a
URI: http://gala.gre.ac.uk/id/eprint/20134

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics