Data

Equal resource distribution index

(best estimate)
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What you should know about this indicator

Question: How equal is the distribution of resources?

Clarification: This component measures the extent to which resources — both tangible and intangible — are distributed in society. An equal distribution of resources supports egalitarian democracy in two ways. First, lower poverty rates and the distribution of goods and services such as food, water, housing, education and healthcare ensure that all individuals are capable of participating in politics and government. In short, basic needs must be met in order for individuals to effectively exercise their rights and freedoms see, for example, Sen 1999, Maslow 1943. Second, high levels of resource inequality undermine the ability of poorer populations to participate meaningfully Aristotle, Dahl 2006. Thus, it is necessary to include not only measures of poverty and the distribution of goods and services, but also the levels of inequality in these distributions, and the proportion of the population who are not eligible for social services i.e. means-tests, particularistic distribution, etc.. This principle also implies that social or economic inequalities can translate into political inequalities, an issue addressed most notably by Walzer 1983, who argues that overlapping "spheres" of inequality are particularly harmful to society. To address these overlapping "spheres", this component also includes measures of the distribution of power in society amongst different socio-economic groups, genders, etc.

Scale: Interval, from low to high (0-1).

Indicator name: v2xeg_eqdr

Equal resource distribution index
(best estimate)
Best estimate of the extent to which all social groups benefit from public spending and have equal access to education, healthcare, and the welfare state.
Source
V-Dem (2024) – processed by Our World in Data
Last updated
March 7, 2024
Next expected update
March 2025
Date range
1900–2023

Sources and processing

This data is based on the following sources

The Varieties of Democracy (V-Dem) project publishes data and research on democracy and human rights.

It acknowledges that democracy can be characterized differently and measures electoral, liberal, participatory, deliberative, and egalitarian characterizations of democracy.

The project relies on evaluations by around 3,500 country experts and supplementary work by its researchers to assess political institutions and the protection of rights.

The project is managed by the V-Dem Institute, based at the University of Gothenburg in Sweden.

This snapshot contains all 500 V-Dem indicators and 245 indices + 57 other indicators from other data sources.

Retrieved on
March 18, 2024
Citation
This is the citation of the original data obtained from the source, prior to any processing or adaptation by Our World in Data. To cite data downloaded from this page, please use the suggested citation given in Reuse This Work below.
Coppedge, Michael, John Gerring, Carl Henrik Knutsen, Staffan I. Lindberg, Jan Teorell, David Altman, Fabio Angiolillo, Michael Bernhard, Cecilia Borella, Agnes Cornell, M. Steven Fish, Linnea Fox, Lisa Gastaldi, Haakon Gjerløw, Adam Glynn, Ana Good God, Sandra Grahn, Allen Hicken, Katrin Kinzelbach, Joshua Krusell, Kyle L. Marquardt, Kelly McMann, Valeriya Mechkova, Juraj Medzihorsky, Natalia Natsika, Anja Neundorf, Pamela Paxton, Daniel Pemstein, Josefine Pernes, Oskar Rydén, Johannes von Römer, Brigitte Seim, Rachel Sigman, Svend-Erik Skaaning, Jeffrey Staton, Aksel Sundström, Eitan Tzelgov, Yi-ting Wang, Tore Wig, Steven Wilson and Daniel Ziblatt. 2024. "V-Dem Country-Year Dataset v14" Varieties of Democracy (V-Dem) Project. https://doi.org/10.23696/mcwt-fr58;
Pemstein, Daniel, Kyle L. Marquardt, Eitan Tzelgov, Yi-ting Wang, Juraj Medzihorsky, Joshua Krusell, Farhad Miri, and Johannes von Römer. 2024. “The V-Dem Measurement Model: Latent Variable Analysis for Cross-National and Cross-Temporal Expert-Coded Data”. V-Dem Working Paper No. 21. 9th edition. University of Gothenburg: Varieties of Democracy Institute

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All data and visualizations on Our World in Data rely on data sourced from one or several original data providers. Preparing this original data involves several processing steps. Depending on the data, this can include standardizing country names and world region definitions, converting units, calculating derived indicators such as per capita measures, as well as adding or adapting metadata such as the name or the description given to an indicator.

At the link below you can find a detailed description of the structure of our data pipeline, including links to all the code used to prepare data across Our World in Data.

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Notes on our processing step for this indicator

We expand the years covered by V-Dem further: To expand the time coverage of today's countries and include more of the period when they were still non-sovereign territories, we identified the historical entity they were a part of and used that regime's data whenever available

For example, V-Dem only provides regime data since Bangladesh's independence in 1971. There is, however, regime data for Pakistan and the colony of India, both of which the current territory of Bangladesh was a part. We, therefore, use the regime data of Pakistan for Bangladesh from 1947 to 1970, and the regime data of India from 1789 to 1946. We did so for all countries with a past or current population of more than one million.

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Citations

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To cite this page overall, including any descriptions, FAQs or explanations of the data authored by Our World in Data, please use the following citation:

“Data Page: Equal resource distribution index”, part of the following publication: Bastian Herre, Lucas Rodés-Guirao and Esteban Ortiz-Ospina (2013) - “Democracy”. Data adapted from V-Dem. Retrieved from https://ourworldindata.org/grapher/equal-resource-distribution-index [online resource]
How to cite this data

In-line citationIf you have limited space (e.g. in data visualizations), you can use this abbreviated in-line citation:

V-Dem (2024) – processed by Our World in Data

Full citation

V-Dem (2024) – processed by Our World in Data. “Equal resource distribution index – (best estimate)” [dataset]. V-Dem, “V-Dem Country-Year (Full + Others) v14” [original data]. Retrieved November 9, 2024 from https://ourworldindata.org/grapher/equal-resource-distribution-index