Discover the data | Land Portal | Securing Land Rights Through Open Data

Take a deep dive into the world of open data from across the international land sector. Here you will find  diverse collections of land data presented alongside rich, interactive multimedia stories that bring the data to life. This unique repository of open-access data has been carefully aggregated from trusted sources, overlaid with detailed metadata and presented here for browsing and downloading for free.


700+ statistical indicators

A rich collection of
land-related  indicators


10+ spatial layers

Land-related spatial layers
 


50+ datasets

Statistical & spatial data
aggregated from trusted providers 

Featured datasets

OurLandNow

The data included in this dataset reflects indicator 5.a.1 of the Sustainable Development Goals (SDGs). This indocator is listed under "SDG 5. Achieve gender equality and empower all women and girls". Indicator 5.1.1 measures if whether or not legal frameworks are in place to promote, enforce and monitor equality and non‑discrimination on the basis of sex (Source: https://unstats.un.org/sdgs/metadata/) It is divided in two sub-indicators. Part (a) is an incidence measure.

Prindex stands for the Global Property Rights Index, an indicator of citizens' perceptions of the security of land and property rights. It aims to fill the gap in information about individual perception of tenure security, by creating a baseline global dataset covering more than 100 countries by the end of 2019, to support the achievement of secure property rights around the world.

Last updated statistical and spatial datasets

This dataset contains gender indicators (such as women/men who own land alone or women/men who own land both alone and jointly) as provid

Data provider: 
World Bank Group
Indicators: 4
SDG_5.a.1(1)

The data included in this dataset reflects indicator 5.a.1 of the Sustainable Development Goals (SDGs).

Data provider: 
United Nations
Indicators: 4
ASTI

The ASTI (Agricultural Science and Technology Indicators) dataset contains open-access data and analysis on agricultural research investm

Data provider: 
Food and Agriculture Organization of the United Nations (FAO)
Indicators: 4
Land Matrix

This dataset contains information provided by the Land Matrix on the size, nature, state and

Data provider: 
Land Matrix
Indicators: 50

Latest Data Stories

XIAOWAN DAM IN NANJIAN COUNTY, YUNNAN PROVINCE, SOUTHWEST CHINA. PHOTO CREDIT: GUILLAUME LACOMBE/CIRAD
28 April 2020
Authors: 
Ms. Amy Fallon
Mr. Marko Kallio
China
South-Eastern Asia
Thailand

This article was originally published through CSDS (Center for Social Development Studies) at Chulalongkorn University, Thailand. It can be found at: https://www.csds-chula.org/publications/2020/4/28/critical-nature-are-chinas-dams-on-the-mekong-causing-downstream-drought-the-importance-of-scientific-debate

 

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