Downloads
This page lists data packages containing national-level datasets (produced by Trends.Earth), following accepted best practices for calculating the UNCCD Indicators for land degradation and drought vulnerability and exposure.
These zipfiles are designed to be imported directly into Trends.Earth, and may be useful to countries reporting to the UNCCD on Strategic Objectives 1, 2, and 3 (including SDG Indicator 15.3.1). Global datasets are also available as Cloud-optimized GeoTIFFs (COGs) and as Google Earth Engine assets. See the Trends.Earth SDG Indicator 15.3.1 Datasets page on Zenodo for more details on these datasets.
The methods used to produce the estimates of land degradation in these files are consistent with Version 2.0 of the Good Practice Guidance for SDG Indicator 15.3.1. Calculations of land condition are consistent with the addendum to that guidance. Calculations of drought vulnerability and exposure are consistent with the Good Practice Guidance for National Reporting on UNCCD Strategic Objective 3.
This site and the products of Trends.Earth are made available under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0). The boundaries and names used, and the designations used, do not imply official endorsement or acceptance by Conservation International Foundation, or its partner organizations and contributors.
The below packages use data from geoBoundaries to define country borders. These boundaries are made available by geoBoundaries under the CC BY 4.0 license.
SDG Indicator 15.3.1 (UNCCD Strategic Objectives 1 and 2)
The below datasets can be used to support assessing SDG Indicator 15.3.1, and include indicators of change in land productivity dynamics (LPD), land cover, and soil organic carbon. These datasets can be used to support reporting on UNCCD Strategic Objectives 1 and 2. Note that there are three different LPD datasets available (from the default Trends.Earth method, from FAO-WOCAT, and from JRC).
Country |
SDG 15.3.1 using Trends.Earth LPD |
SDG 15.3.1 using FAO-WOCAT LPD |
SDG 15.3.1 using JRC LPD |
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ABW |
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AFG |
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AGO |
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AIA |
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ALB |
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AND |
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ARE |
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ARG |
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ARM |
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ASM |
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ATG |
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AUS |
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AUT |
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AZE |
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BDI |
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BEL |
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BEN |
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BES |
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BFA |
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BGD |
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BGR |
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BHR |
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BHS |
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BIH |
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BLM |
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BLR |
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BLZ |
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BMU |
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BOL |
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BRA |
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BRB |
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BRN |
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BTN |
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BWA |
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CAF |
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CAN |
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CHE |
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CHL |
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CHN |
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CIV |
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CMR |
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COD |
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COG |
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COK |
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COL |
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COM |
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CPV |
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CRI |
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CUB |
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CUW |
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CYM |
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CYP |
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CZE |
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DEU |
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DJI |
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DMA |
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DNK |
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DOM |
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DZA |
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ECU |
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EGY |
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ERI |
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ESP |
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EST |
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ETH |
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FIN |
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FJI |
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FLK |
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FRA |
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FRO |
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FSM |
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GAB |
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GBR |
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GEO |
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GGY |
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GHA |
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GIB |
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GIN |
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GLP |
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GMB |
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GNB |
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GNQ |
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GRC |
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GRD |
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GRL |
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GTM |
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GUF |
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GUM |
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GUY |
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HND |
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HRV |
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HTI |
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HUN |
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IDN |
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IMN |
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IND |
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IRL |
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IRN |
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IRQ |
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ISL |
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ISR |
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ITA |
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JAM |
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JOR |
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JPN |
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KAZ |
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KEN |
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KGZ |
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KHM |
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KIR |
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KNA |
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KOR |
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KWT |
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LAO |
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LBN |
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LBR |
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LBY |
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LCA |
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LIE |
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LKA |
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LSO |
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LTU |
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LUX |
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LVA |
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MAR |
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MCO |
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MDA |
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MDG |
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MDV |
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MEX |
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MHL |
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MKD |
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MLI |
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MLT |
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MMR |
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MNE |
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MNG |
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MNP |
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MOZ |
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MRT |
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MSR |
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MTQ |
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MUS |
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MWI |
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MYS |
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MYT |
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NAM |
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NCL |
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NER |
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NGA |
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NIC |
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NIU |
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NLD |
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NOR |
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NPL |
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NRU |
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NZL |
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OMN |
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PAK |
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PAN |
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PCN |
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PER |
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PHL |
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PLW |
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PNG |
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POL |
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PRK |
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PRT |
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PRY |
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PSE |
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PYF |
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QAT |
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REU |
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ROU |
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RUS |
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RWA |
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SAU |
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SDN |
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SEN |
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SGP |
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SHN |
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SLB |
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SLE |
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SLV |
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SMR |
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SOM |
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SRB |
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SSD |
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STP |
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SUR |
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SVK |
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SVN |
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SWE |
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SWZ |
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SYC |
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SYR |
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TCA |
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TCD |
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TGO |
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THA |
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TJK |
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TKL |
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TKM |
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TLS |
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TON |
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TTO |
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TUN |
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TUR |
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TUV |
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TWN |
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TZA |
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UGA |
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UKR |
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URY |
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USA |
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UZB |
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VAT |
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VCT |
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VEN |
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VGB |
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VIR |
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VNM |
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VUT |
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WLF |
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WSM |
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XKX |
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YEM |
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ZAF |
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ZMB |
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ZWE |
Drought hazard, vulnerability and exposure (UNCCD Strategic Objective 3)
The below datasets can be used to support assessing drought hazard, vulnerability, and exposure, and for reporting on UNCCD Strategic Objective 3.
These data are processed in accordance with the Good Practice Guidance for National Reporting on UNCCD Strategic Objective 3. Two variations of the data are provided. Both are based on the Standardized Precipitation Index (SPI) for a 12-month accumulation period. One version uses the Global Multi-Index Drought (GMID) dataset from the UK-CEH, the other uses an SPI dataset derived by the Trends.Earth team from the CHIRPS precipitation dataset.
CHIRPS is a gridded precipitation dataset spanning 50°S-50°N, starting in 1981, that merges in-situ with satellite data to produce a timeseries grid.
Country |
Drought indicators (UK-CEH SPI) |
Drought indicators (CHIRPS SPI) |
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ABW |
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AFG |
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AGO |
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AIA |
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ALB |
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AND |
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ARE |
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ARG |
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ARM |
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ASM |
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ATG |
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AUS |
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AUT |
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AZE |
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BDI |
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BEL |
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BEN |
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BES |
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BFA |
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BGD |
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BGR |
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BHR |
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BHS |
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BIH |
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BLM |
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BLR |
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BLZ |
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BMU |
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BOL |
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BRA |
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BRB |
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BRN |
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BTN |
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BWA |
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CAF |
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CAN |
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CHE |
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CHL |
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CHN |
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CIV |
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CMR |
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COD |
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COG |
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COK |
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COL |
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COM |
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CPV |
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CRI |
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CUB |
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CUW |
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CYM |
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CYP |
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CZE |
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DEU |
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DJI |
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DMA |
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DNK |
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DOM |
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DZA |
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ECU |
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EGY |
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ERI |
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ESP |
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EST |
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ETH |
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FIN |
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FJI |
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FLK |
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FRA |
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FRO |
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FSM |
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GAB |
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GBR |
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GEO |
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GGY |
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GHA |
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GIB |
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GIN |
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GLP |
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GMB |
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GNB |
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GNQ |
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GRC |
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GRD |
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GRL |
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GTM |
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GUF |
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GUM |
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GUY |
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HND |
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HRV |
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HTI |
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HUN |
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IDN |
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IMN |
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IND |
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IRL |
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IRN |
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IRQ |
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ISL |
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ISR |
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ITA |
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JAM |
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JOR |
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JPN |
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KAZ |
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KEN |
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KGZ |
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KHM |
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KIR |
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KNA |
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KOR |
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KWT |
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LAO |
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LBN |
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LBR |
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LBY |
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LCA |
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LIE |
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LKA |
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LSO |
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LTU |
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LUX |
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LVA |
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MAR |
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MCO |
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MDA |
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MDG |
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MDV |
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MEX |
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MHL |
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MKD |
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MLI |
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MLT |
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MMR |
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MNE |
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MNG |
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MNP |
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MOZ |
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MRT |
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MSR |
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MTQ |
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MUS |
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MWI |
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MYS |
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MYT |
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NAM |
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NCL |
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NER |
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NGA |
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NIC |
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NIU |
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NLD |
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NOR |
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NPL |
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NRU |
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NZL |
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OMN |
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PAK |
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PAN |
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PCN |
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PER |
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PHL |
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PLW |
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PNG |
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POL |
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PRK |
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PRT |
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PRY |
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PSE |
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PYF |
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QAT |
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REU |
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ROU |
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RUS |
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RWA |
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SAU |
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SDN |
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SEN |
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SGP |
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SHN |
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SLB |
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SLE |
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SLV |
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SMR |
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SOM |
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SRB |
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SSD |
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STP |
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SUR |
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SVK |
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SVN |
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SWE |
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SWZ |
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SYC |
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SYR |
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TCA |
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TCD |
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TGO |
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THA |
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TJK |
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TKL |
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TKM |
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TLS |
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TON |
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TTO |
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TUN |
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TUR |
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TUV |
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TWN |
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TZA |
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UGA |
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UKR |
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URY |
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USA |
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UZB |
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VAT |
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VCT |
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VEN |
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VGB |
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VIR |
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VNM |
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VUT |
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WLF |
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WSM |
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XKX |
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YEM |
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ZAF |
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ZMB |
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ZWE |