Land Book Jeux de données

Also available in

Access land-related information by dataset. Discover the list of different datasets available on the Land Book and get detailed information on each of them.

Displaying 1 - 23 of 23

DP - Map of Donors (Land governance Programme Map)

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.

FAO - Agricultural Census

This dataset contains information from agricultural censuses conducted in different countries as provided by FAO.

FAO - Food Security

This dataset contains indicators on the level of food security in several countries as provided by FAO.

FAO - Land and Gender

This dataset contains indicators from the FAO Gender & Land Rights Database.

FAO - Land Use

This dataset contains indicators on various aspects of land use (e.g. agricultural land; arable land; land use; etc.) as provided by the Statistics Division of FAO.

IFPRI - Global Hunger Index

This dataset contains the data used to calculate the Global Hunger Index Scores for the years 1990, 1995, 2000, 2005 and 2015 by IFPRI.

Land Matrix - Large-Scale Land Acquisitions

This dataset contains information provided by the Land Matrix on the size, nature, state and purpose of Large-Scale Land Aquisitions around the world.

LMM - Indicators of the Legal Security of Indigenous and Community Lands

This data is characterized by a series of ten indicator questions that point to the security of land tenure for Indigenous Peoples or communities as established in national laws.

  1. LEGAL STATUS - Does the law recognize all rights that Indigenous Peoples or communities exercise over their lands as lawful forms of ownership?
  2. LAND RIGHTS AND COMMON PROPERTY - Does the law give indigenous or community land rights the same level of protection as the rights under other tenure systems?
  3. FORMAL DOCUMENTATION - Does the law require the government to provide Indigenous Peoples or communities with a formal title and map to their land?
  4. LEGAL PERSON - Does the law recognize the Indigenous Peoples or community as a legal person for the purposes of land ownership?
  5. LEGAL AUTHORITY - Does the law recognize the Indigenous Peoples or community as the legal authority over the land?
  6. PERPETUITY - Do the law and formal title recognize that indigenous or community land rights may be held in perpetuity?
  7. RIGHT TO CONSENT BEFORE LAND ACQUISITION - Does the law require the consent of Indigenous Peoples or communities before government or an outsider may acquire their land?
  8. RIGHTS TO TREES - Does the law explicitly recognize that indigenous or community land rights include the rights to all trees on the land?
  9. RIGHTS TO WATER - Does the law explicitly recognize that indigenous or community land rights include the rights to local water sources on the land?
  10. LAND RIGHTS IN PROTECTED AREAS - Does the law uphold indigenous or community land rights in the ownership and governance of national parks and other protected areas?

The assessment of each indicator is based on a review of relevant national laws, including the constitution, statutes, regulations, and high court cases, to the extent they are available.

Each indicator is assigned a score of 1, 2, 3, 4, Not applicable (N/A), or No data (ND). The scoring of indicators is based exclusively on express legal provisions.

  • 1 -> Yes, the law addresses the issue fully. The legal framework clearly or expressly meets the issue addressed in the indicator.
  • 2 -> Partial, the law makes significant progress towards addressing the issue. The legal framework makes significant progress towards, but does not entirely meet the issue addressed in the indicator.
  • 3 -> Partial, the law makes only limited progress towards addressing the issue. The legal framework addresses the indicator, but insignificantly.
  • 4 -> No, the law does not address the issue. There are no attempts in the law to meet the issue addressed in the indicator.
  • N/A -> The indicator is not applicable. Not applicable is used in cases where the subject matter in question is non-existent.
  • ND -> Not enough data to score or not evaluated. No data applies when the country and/or indicator has not been evaluated or there is a lack of sufficient information.

The average score for the ten indicators of the legal security of indigenous and community lands is also provided.

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.

LMM - Percent of Indigenous and Community Lands

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.

NKT - Whether National Laws Adopt the UN Voluntary Guidelines on the Responsible Governance of Tenure (Section 16- Expropriation, Compensation, and Resettlement)

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

OECD - Social Institutions and Gender Index Database

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 resources and 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.

RRI - Forest Tenure Data

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

To learn more about these categories visit http://rightsandresources.org/en/resources/tenure-data/. Indicators are measured in million Ha.

UNDP - Human Development Index

This dataset contains the Human Development Index (HDI) score and country rank, as provided by UNDP.

WB - Demographic Indicators

This dataset contains demographic indicators (such as female and male population, share of urban and rural populationtotal population, fertility rate...) as provided by the World Bank.

WB - Health and Nutrition Indicators

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.

WB - LGAF Scorecards 2013

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

WB - LGAF Scorecards 2016

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

WB - Rural Development Indicators

This dataset contains indicators on rural areas and agricultural activities (such as Employees in Agriculture, Agriculture Value Added, Agricultural Irrigated Land...), as provided by the World Bank.

WB - Socio-Economic Indicators

This dataset contains a variety of socio-economic indicators (abour force participation, unemployment, GDP, GINI index...) provided by the World Bank.

WB - World Governance Indicators

This dataset contains indicators on institutional quality (Control of Corruption and Rule of Law) as provided by the World Bank World Governance Indicators (WGI) Database.