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 most recent review process took place in 2012 , and some important changes were made to the methodology in 2012. The method that was used up until 2012 to aggregate different data sources has been simplified and now includes just one year’s data from each data source. Crucially, this method now allows us to compare scores over time, which was not methodologically possible prior to 2012. The methodology follows 4 basic steps: selection of source data, rescaling source data, aggregating the rescaled data and then reporting a measure for uncertainty. Given the changes in the 2012 methodology, this dataset contains two indicators (CPI score and country ranking) for both the old methodology (up to 2011) and the new one (from 2012 onwards), totalling the following four indicators:
1) Corruption Perception Index - Score - New Method (from 2012 onwards - scale from 0 to 100, where 0 represents very high levels of perceived corruption)
2) CPI score - Old methodology (from 1995 to 2011 - scale from 0 to 10, where 0 represents very high levels of perceived corruption)
3) CPI country ranking - New methodology (from 2012 onwards)
4) CPI country ranking - Old methodology (from 1995 to 2011)
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. The dataset ingested on the LB aggregates information at the country level, showing total funding and total number of both concluded and ongoing (till January 2016) programmes in each destination country.
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):
Number of reported land conflicts (India)
Number of people affected by reported land conflicts (India)
Total value of the investments (in Indian Rs crore) related to reported land conflicts (India)
Total area (ha) affected by the reported land conflicts (India)
Land Conlfict Watch define land conflict as any situation in which public opposes change in the current use or ownership of land by government agencies or private parties. These conflicts can also be over naturally occurring land resources like forest, underground water, fish stock etc. Ongoing conflicts that have been recorded in a written or audio-visual format at any place from the level of Gram Sabha (village council) upto the national level are included in this study. These records could be news reports, gram sabha resolutions, public hearing records, memorandums submitted to authorities, police records or court documents. Land conflicts between two private parties or between a private party and the government are excluded, unless the magnitude of the conflict is such that it affects a larger public interest.
Please note that: the numbers partially represent the ground situation because data are still being collected; The number of people affected, land area, and investment figures are indicative and based on the best available estimates; In most cases, summaries of the conflicts are based on media reports.
The Lao Census of Agriculture 2010/11 was the second agricultural census undertaken in the Lao PDR. Since the first in 1998/99, the agricultural sector underwent significant changes. This Census of Agriculture was implemented by the Lao Ministry of Agriculture and Forestry - LMAF (http://www.maf.gov.la/), with support from the Lao Statistics Bureau (http://www.lsb.gov.la/), and collected basic information on crop and livestock production from every household in the Lao PDR, as well as information on village infrastructure. A sample survey module collected detailed data on agricultural production activities from over 40 thousand farm households.
The census data collection was undertaken in March 2011, whereby crop production data on the 2010 wet season and the 2010/11 dry season was collected. Data are available on the Lao Decide platform (http://www.decide.la/en/)
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).
The percentages are calculated by dividing the total land area of the country (calculated in GIS using the GADM Database of Global Administrative Areas) by the estimated area of the land held or used by Indigenous Peoples and communities. For more information please visit: http://www.landmarkmap.org/data/.
The dataset can be visualised on a free on-line mapping tool produced by the original data provider: http://www.landmarkmap.org/map.
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. Where laws only partially satisfy the question asked by the indicator, a score of "partial" is provided. If the national laws assessed fully adopt the VGGT principle, then a score of "A" is given. If national laws assessed partially adopt the VGGT principle, then a score of "B" is given. If national laws assessed do not adopt the VGGT principle, then a score of "C" is given. Answering the questions posed by these indicators entailed reviewing a broad range of legally binding instruments, including national constitutions, land acquisition acts, land acts, communal land acts, agricultural land acts, land use acts, regulations, and some court decisions. For more information, please see: http://www.wri.org/publication/encroaching-on-land-and-livelihoods
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 dataset includes the 2009 (partially), the 2012 and 2014 releases of the SIGI Database.
PRIndex stands for the Global Property Rights Index, an indicator of citizens' perception of the security of property rights.
An initial phase of development of the index and testing its application is being carried out in nine countries (Brazil, Colombia, Egypt, Greece, India, Indonesia, Nigeria, Peru and Tanzania) during 2016 and 2017. The PRIndex dataset presented here contanins indicators based on the pilot survey data collected in these 9 countries with nationally representative samples (3000 respondents in India and 1000 respondents in all other countries). The indicators included in this dataset measures the level of perceived tenure security and the rate of property documentation in each country and for specific categories (Total, that is the full sample; Men and Women; Owners and Renters; Urban and Rural).
After the development phase, the index will be globalized through the Gallup World Poll and other data collections in 2018. The dataset is intended to monitor and encourage good governance of property rights. Data on perceptions of security of property rights are required to monitor the Sustainable Development Goals -- such as Indicator 1.4.2 -- and the Voluntary Guidelines on the Responsible Governance of Tenure of Land, Forests and Fisheries.
PRIndex is an initiative of Omidyar Network and UK DfID, being implemented by Land Alliance in association with Gallup, Inc. A Technical Advisory Group (TAG) of research experts in property rights is providing guidance on the design and methodology of surveys and analysis of data.
The PRIndex data presented here -- originally created by by Land Alliance in association with Gallup, Inc. -- can be reused under the terms of the CC BY-NC 4.0 licence (Attribution-NonCommercial 4.0 International, see: https://creativecommons.org/licenses/by-nc/4.0/).
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. For more information on specific country values and on the methodology please visit http://go.worldbank.org/21M7S7AZO0
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. For more information on specific country values and on the methodology please visit http://go.worldbank.org/21M7S7AZO0
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.