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Definition: The indicator “proportion of the population below the international poverty line” is defined as the percentage of the population living on less than $2.15 a day at 2017 international prices.

Concepts: In assessing poverty in a given country, and how best to reduce poverty, one naturally focuses on a poverty line that is considered appropriate for that country. But how do we talk meaningfully about Last updated: 2023-03-31 “global poverty?” Poverty lines across countries vary in terms of their purchasing power, and they have a strong economic gradient, such that richer countries tend to adopt higher standards of living in defining poverty. But to consistently measure global absolute poverty in terms of consumption we need to treat two people with the same purchasing power over commodities the same way—both are either poor or not poor—even if they live in different countries.

Since World Development Report 1990, the World Bank has aimed to apply a common standard in measuring extreme poverty, anchored to what poverty means in the world's poorest countries. The welfare of people living in different countries can be measured on a common scale by adjusting for differences in the purchasing power of currencies. The commonly used $1 a day standard, measured in 1985 international prices and adjusted to local currency using purchasing power parity (PPP) exchange rates, was chosen for World Development Report 1990 because it was typical of the poverty lines in lowincome countries at the time. As differences in the cost of living across the world evolve, the international poverty line has to be periodically updated using new PPP price data to reflect these changes. The last change was in September 2022, when the World Bank adopted $2.15 as the international poverty line using the 2017 PPP. Prior to that, the 2015 update set the international poverty line at $1.90 using the 2011 PPP. Poverty measures based on international poverty lines attempt to hold the real value of the poverty line constant across countries and over time.

Unit of measure: Percent (%). The unit of measure is the proportion of people.

Validation: The raw data are obtained by poverty economists through their contacts in the NSOs, and checked for quality before being submitted for further analysis. The raw data can be unit-record survey data, or grouped data, depending on the agreements with the country governments. In most cases, the welfare aggregate, the essential element for poverty estimation, is generated by the country governments. Sometimes, the World Bank constructs the welfare aggregate or adjusts the aggregate provided by the country

Data availability: Data are available in 160+ economies, (measured in terms of number of economies that have at least 1 data point).

References: For more information and methodology, please see : https://worldbank.github.io/PIP-Methodology/. Also, consult: https://openknowledge.worldbank.org/handle/10986/37061

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Last of the Wild, v2 represents the least human influenced or wild areas of major terrestrial biomes based on the Human Footprint Index data set. The purpose is to provide an updated map of wild areas in geographic projection which can be used in wildlife conservation planning, natural resource management, and research on human-environment interactions.

Dataset Summary
The Last of the Wild Dataset of the Last of the Wild Project, Version 2, 2005 (LWP-2) is derived from the LWP-2 Human Footprint Dataset. Most wild in each biome is defined as areas with Human Footprint Index values less than or equal to 10. The gridded data are classified according to their raster value (wild = 0-10; not wild >10). The ten largest polygons of more than 5 square kilometers within each biome by realm are selected and identified. The dataset is produced by the Wildlife Conservation Society (WCS) and the Columbia University Center for International Earth Science Information Network (CIESIN) and is available in the Geographic Coordinate system.

Recommended Citation
Wildlife Conservation Society - WCS, and Center for International Earth Science Information Network - CIESIN - Columbia University. 2005. Last of the Wild Project, Version 2, 2005 (LWP-2): Last of the Wild Dataset (Geographic). Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). http://dx.doi.org/10.7927/H4348H83. Accessed DAY MONTH YEAR.
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Climate plays a major role in determining the distribution of plants and animals. Bioclimatology, the study of climate as it affects and is affected by living organisms, is key to understanding the patterns of forests and deserts on the landscape, where productive agricultural lands may be found, and how changes in the climate will affect rare species. 

This layer is part of the Ecophysiographic Project and is one of the four input layers used to create the World Ecological Land Units Map.

Dataset Summary 

This layer provides access to a 250m cell-sized raster with a bioclimatic stratification. The source dataset was a 30-arcsecond resolution raster (equivalent to 0.86 km2 at the equator or about a 920m pixel size). 

The layer has the following attributes: 

Temperature Description - Seven classes based on the number of growing degree days (the monthly mean temperature multiplied by number of days in the month summed for all months). The 1950 to 2000 monthly average temperature was used to calculate growing degree days. Values in this field and associated number of growing degree days are:

Temperature Description

Growing Degree Days

Very Hot

9,000 – 13,500

Hot

7,000 – 9,000

Warm

4,500 – 7,000

Cool

2,500 – 4,500

Cold

1,000 – 2,500

Very Cold

300 – 1,000

Arctic

0 - 300


Aridity Description - Six classes based on an index of aridity calculated by dividing precipitation by evapotranspiration. Precipitation and evapotranspiration are average values from 1950 to 2000.

Aridity Description

Aridity Index

Very Wet

1.5 – 70

Wet

1.0 – 1.5

Moist

0.6 – 1.0

Semi-dry

0.3 – 0.6

Dry

0.1 – 0.3

Very Dry

0.01 – 0.1


Bioclimate Class - a 2-part description that combines the value of the Temperature Description field and the Aridity Description field. The alias for this field is ELU Bioclimate Reclass. 

This layer was created by modifying the dataset documented in the publication: 
Metzger and others. 2012. A high-resolution bioclimate map of the world: a unifying framework for global biodiversity research and monitoring. 

What can you do with this layer? 

This layer is suitable for both visualization and analysis. It can be used in ArcGIS Online in web maps and applications and can be used in ArcGIS Desktop.

This layer has query, identify, and export image services available. This layer is restricted to a maximum area of 16,000 x 16,000 pixels - an area 4,000 kilometers on a side or an area approximately the size of Europe. 

A service is available providing access to the data table associated with this layer. The data table services can be used by developers to quickly and efficiently query the data and to create custom applications. For more information see the World Ecophysiographic Tables.

This layer is part of a larger collection of landscape layers that you can use to perform a wide variety of mapping and analysis tasks.

The Living Atlas of the World provides an easy way to explore the landscape layers and many other beautiful and authoritative maps on hundreds of topics.

Geonet is a good resource for learning more about landscape layers and the Living Atlas of the World. To get started see the Living Atlas Discussion Group.

The Esri Insider Blog provides an introduction to the Ecophysiographic Mapping project.
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Last update : August 2026 - Annual statistics for 2025
 


 
The data is already filtered on the latest available year (2025) for quick mapping and display.
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Ecoregions, in the simplest definition, are ecosystems of regional extent. Specifically, ecoregions represent distinct assemblages of biodiversity―all taxa, not just vegetation―whose boundaries include the space required to sustain ecological processes. Ecoregions provide a useful basemap for conservation planning in particular because they draw on natural, rather than political, boundaries, define distinct biogeographic assemblages and ecological habitats within biomes, and assist in representation of Earth’s biodiversity.
 

The Ecoregions of the World is developed by RESOLVE and based on recent advances in biogeography - the science concerning the distribution of plants and animals. The original ecoregions dataset has been widely used since its introduction in 2001, underpinning the most recent analyses of the effects of global climate change on nature by ecologists to the distribution of the world's beetles to modern conservation planning.

The 846 terrestrial ecoregions are grouped into 14 biomes and 8 realms. Six of these biomes are forest biomes and remaining eight are non-forest biomes. For the forest biomes, the geographic boundaries of the ecoregions (Dinerstein et al., 2017) and protected areas (UNEP-WCMC 2016) were intersected with the Global Forest Change data (Hansen et al. 2013) for the years 2000 to 2015, to calculate percent of habitat in protected areas and percent of remaining habitat outside protected areas. Likewise, the boundaries of the non-forest ecoregions and protected areas (UNEP-WCMC 2016) were intersected with Anthropogenic Biomes data (Anthromes v2) for the year 2000 (Ellis et al., 2010) to identify remaining habitats inside and outside the protected areas. Each ecoregion has a unique ID, area (sq. degrees), and NNH (Nature Needs Half) categories 1-4. NNH categories are based on percent of habitat in protected areas and percent of remaining habitat outside protected areas.

Half Protected: More than 50% of the total ecoregion area is already protected.

Nature Could Reach Half: Less than 50% of the total ecoregion area is protected but the amount of remaining unprotected natural habitat could bring protection to over 50% if new conservation areas are added to the system.

Nature Could Recover: The amount of protected and unprotected natural habitat remaining is less than 50% but more than 20%. Ecoregions in this category would require restoration to reach Half Protected.

Nature Imperilled: The amount of protected and unprotected natural habitat remaining is less than or equal to 20%. Achieving half protected is not possible in the short term and efforts should focus on conserving remaining, native habitat fragments.

The updated Ecoregions 2017 is the most-up-to-date (as of February 2018) dataset on remaining habitat in each terrestrial ecoregion. It was released to chart progress towards achieving the visionary goal of Nature Needs Half, to protect half of all the land on Earth to save a living terrestrial biosphere.

Note - a number of ecoregions are very complex polygons with over a million vertices, such as Rock & Ice.

Bioscience, An Ecoregions-Based Approach to Protecting Half the Terrestrial Realm DOI: https://doi.org/10.1093/biosci/bix014

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The Global Electrification Platform (GEP) is an open access, interactive, online platform that allows for overview of electrification investment scenarios for a selection of countries. The scenarios present pathways for achieving universal electricity access, split into an intermediate strategy for 2025 and full electrification by 2030.

Users can explore 96 different scenarios to meet the access goals. These different combinations and parameters are presented in the form of "levers". Users can overlay additional layers as well (e.g. wind potential, electricity networks, location of health facilities) to help illustrate useful contextual information about a selected country.

The current set of results in the GEP were created using the Open Source Spatial Electrification Tool (gep-onsset); a list of references for the GEO-OnSSET work can be found here: references.

Citation Dimitrios Mentis et al 2017 Environ. Res. Lett. 12 085003DOI 10.1088/1748-9326/aa7b29

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