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Data

Transparent laws with predictable enforcement

(best estimate)
See all data and research on:
Democracy

What you should know about this indicator

Question: Are the laws of the land clear, well publicized, coherent (consistent with each other), relatively stable from year to year, and enforced in a predictable manner?

Clarification: This question focuses on the transparency and predictability of the laws of the land.

Responses: 0: Transparency and predictability are almost non-existent. The laws of the land are created and/or enforced in completely arbitrary fashion. 1: Transparency and predictability are severely limited. The laws of the land are more often than not created and/or enforced in arbitrary fashion. 2: Transparency and predictability are somewhat limited. The laws of the land are mostly created in a non-arbitrary fashion but enforcement is rather arbitrary in some parts of the country. 3: Transparency and predictability are fairly strong. The laws of the land are usually created and enforced in a non-arbitrary fashion. 4: Transparency and predictability are very strong. The laws of the land are created and enforced in a non-arbitrary fashion.

Scale: Ordinal, converted to interval by the measurement model.

Transparent laws with predictable enforcement
(best estimate)
Best estimate of whether laws are transparent, coherent, and relatively stable, and their enforcement predictable.
Source
V-Dem (2024) – processed by Our World in Data
Last updated
March 7, 2024
Next expected update
March 2025
Date range
1789–2023

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
Retrieved from
http://v-dem.net/vdemds.html
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

How we process data at Our World in Data

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.

Read about our data pipeline
Notes on our processing step for this indicator

We employ Lührmann et al.'s criteria and use a threshold of 3 to classify the original indicator (v2cltrnslw_osp*) into two categories: 0 ("No") and 1 ("Yes").

While RoW covers the years since 1900, we use V-Dem's historical data from 1789 to 1899 to expand the classification's coverage back in time.

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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  • All data produced by third-party providers and made available by Our World in Data are subject to the license terms from the original providers. Our work would not be possible without the data providers we rely on, so we ask you to always cite them appropriately (see below). This is crucial to allow data providers to continue doing their work, enhancing, maintaining and updating valuable data.
  • All data, visualizations, and code produced by Our World in Data are completely open access under the Creative Commons BY license. You have the permission to use, distribute, and reproduce these in any medium, provided the source and authors are credited.

Citations

How to cite this page

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: Transparent laws with predictable enforcement”, 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/transparent-laws-row [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. “Transparent laws with predictable enforcement – (best estimate)” [dataset]. V-Dem, “V-Dem Country-Year (Full + Others) v14” [original data]. Retrieved December 13, 2024 from https://ourworldindata.org/grapher/transparent-laws-row