The Corruption Perceptions Index (CPI) was established in 1995 by Transparency International as a composite indicator used to measure perceptions of corruption in the public sector in different countries around the world. During the past 20 years, both the sources used to compile the index and the methodology has been adjusted and refined.
The overall aim of the initiative is to improve donor coordination and to support implementation of the Voluntary Guidelines for the Responsible Governance of Tenure of Land, Fisheries, and Forests in the Context of National Food Security. The original dataset (https://landgov.donorplatform.org/) retains 717 projects in 135 countries with a total value of 8.4 billion dollars and contains information the location, duration, funding and scope of each programme, as well as on the specific aspects of the Voluntary Guidelines it supports.
This dataset contains indicators on the level of food security in several countries as provided by FAO. The selection of the indicators included in this dataset is based upon the FAO suite of food security indicators, which includes 30 indicators grouped along the four dimension of food security -- Availability, Access, Utilization and Stability. Data from the FAO suite of food security indicators can be accessed on FAOSTAT.
Land Conflict Watch is a research-based data journalism project that maps, collects, and analyses ongoing land conflicts in India. The original data can be accessed on http://www.landconflictwatch.org/, a web platform that not only presents a macro picture at the national level but also zooms in to give details of each conflict at the micro level. On the Land Book of the Land Portal we report the the following 4 indicators, aggregated by the reported starting year of the land conflict (as of June 2017):
This dataset contains the estimated area of land held or used by Indigenous Peoples and non-indigenous communities per country as a percentage of the country’s total land area. The data are divided into three categories, each of them correspond to an indicator on the LB.
1) Formally Recognized (i.e., lands recognized by the State)
2) Not Formally Recognized (i.e., lands held or used but not recognized by the State)
3) Total (i.e., lands held or used, independent of recognition status).
This qualitative dataset shows how national laws measure up against the international standards on expropriation, compensation, and resettlement as established in Section 16 of the UN Voluntary Guidelines on the Responsible Governance of Tenure of Land Fisheries and Forests in the Context of National Food Security (VGGTs). The UN Committee on World Food Security, a body consisting of 193 governments, endorsed the VGGTs in 2012. The dataset contains indicators which ask yes or no questions about the legal provisions established in national laws.
Also known as the Gender, Institutions and Development Database - OECD, the SIGI dataset address the de jure and de facto situations of discriminatory social institutions across five sub-indices: discriminatory family code, restricted physical integrity, son bias, restricted resourcesand assets, and restricted civil liberties. Each of the sub-indexes contains sub-dimensions, but not all of them are included in the LB. The SIGI index is computed as an unweighted average of the score for all five sub-indices.
The quantitative dataset on forest tenure data by RRI currently covers 52 countries containing nearly 90% of the world’s forests. It monitors spatial forest tenure data - that is, who owns how many hectares of a given forest. RRI recognizes four categories of land ownership:
I) Forestland Owned by Indigenous Peoples and local communities
II) Forestland Designated for Indigenous Peoples and local communities
III) Forestland Administered by governments
IV) Forestland by individuals and private firms
This dataset contains demographic indicators (such as female and male population, share of urban and rural population, share of urban population living in slums, total population, fertility rate...) as provided by the World Bank.
This dataset contains the indicators on health and nutrition (such as Malnutrition Prevalence, Prevalence of HIV, Mortality rate under 5 years, Access to Improved water source...), as provided by the World Bank.
This dataset contains information from the pre-2013 round of Land Governance and Assessment Framework (LGAF) of the World Bank. The 2013 LGAF dataset consists of 27 core land governance indicators, which are then further broken down into a total of 80 dimensions. These dimensions are scored by selecting an appropriate answer among a list of pre-coded statements that draw on global experience. "A" stands for good practice, "D" stands for weak practice. Depending on the country context, a few dimensions may not be eligible for scoring, or sub-dimensions can be added.
This dataset contains information from the post-2013 round of Land Governance and Assessment Framework (LGAF) of the World Bank. The 2016 LGAF dataset consists of 27 core land governance indicators, which are then further broken down into a total of 116 dimensions. These dimensions are scored by selecting an appropriate answer among a list of pre-coded statements that draw on global experience. "A" stands for good practice, "D" stands for weak practice. Depending on the country context, a few dimensions may not be eligible for scoring, or sub-dimensions can be added.
This dataset contains indicators on institutional quality as provided by the World Bank World Governance Indicators (WGI) Database. The Land Portal currently hosts 3 indicators from the WGI dataset, namely the Rule of Law, Control of Corruption and Political stability and absence of violence/terrorism. Data and additional information about the WGI database can be accessed here.