Data Lab Sandbox

gfw_universal_mill_list

created_on

2023-05-04T13:11:58.897405

updated_on

2024-10-04T16:27:41.763092

spatial_resolution

resolution_description

nan

geographic_coverage

Global

update_frequency

Every 6 months

scale

global

citation

World Resources Institute, Rainforest Alliance, Proforest, Daemeter, Trase, Earthworm, Auriga, CIFOR, Transitions, Jason Benedict, Robert Heilmayr, Kim Carlson“Universal Mill List.” June 2022. Accessed through Global Forest Watch on [date].www.globalforestwatch.org

title

Palm Oil Mills

source

World Resources Institute, Rainforest Alliance, Proforest, Daemeter, Trase, Earthworm, Auriga, CIFOR, Transitions, Jason Benedict, Robert Heilmayr, Kim Carlson

license

[CC BY 4.0](https://creativecommons.org/licenses/by/4.0/)

data_language

English

overview

The Universal Mill List (UML) is a collection of palm oil mill locations across the worldwith associated group, company, and mill names, RSPO certification status and unique “universal IDs”. The UML is based on data contributed to the authors from palm oil buyer companies, the Roundtable on Sustainable Palm Oil (RSPO), and FoodReg, as well as data gathered from government records and through extensive supply chain research. The objective of the UML is to provide a comprehensive, common dataset for the palm oil industry that can be used to easily identify mills across various platforms and reporting efforts. <br><br>The harmonization of data and the verification of each of the mill locations was a joint effort from a consortium of partners at the World Resources Institute (WRI), Rainforest Alliance, Proforest, Daemeter, Trase, Earthworm Foundation, Auriga, CIFOR, Transitions, the University of California, Santa Barbara, and the University of Hawai’i. The UML is created and updated according to a standardized process, as detailed in the “Universal Mill List Methodology” (WRI and Rainforest Alliance in press, update pending). All mill locations are manually verified using high resolution satellite imagery according to criteria for mill infrastructure, including the presence of buildings, settling ponds, and nearby palm oil plantations. Duplicate mills are identified and removed according to an analysis to identify exact and nearby GPS location duplicates. Verified, unique mill locations are assigned “universal IDs” and added to the UML. Mill name, parent company, and group name information are based on the best available data as gathered by Trase (for Indonesia) and Earthworm Foundation (for most other mills) but may still have gaps or potential inaccuracies. Great care is taken to ensure no duplication of attribute information in the database. The RSPO certification status is the status of each mill at a specific cut-off date, available in the attribute data. RSPO certification statuses are updated every day, so current statuses may be different than the ones listed in the attribute table. Please check for up-to-date mill certification status at RSPO Palm Trace, [here](https://www.rspo.org/certification/certified-growers-search).<br><br>The dataset is updated roughly every 6 months as new data becomes available.

function

Displays the location of palm oil mills.

cautions

This data set is not a complete representation of all palm oil mills in the world. The global data currently includes mills within the supply chains of companies submitting mill data to the authors. In Indonesia, this list of mills is supplemented with additional data on additional mills using information from government reports. The resulting data provide a robust and rigorously verified collection of mills in major supply chains. Mill name, company, and group name information are based on the best available data and may have potential inaccuracies.

key_restrictions

tags

Land Use

why_added

Provide up to date mill locations with a standardized format

learn_more

id

48e7eae5-ac54-42e5-a788-667cbc972386

Is downloadable?

Yes

Versions

v20200901
v20201026
v20201026.1
v20210319
v202106
v20210621
v20220531
v20230115
v20231001
v202410