Data

Democracy

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What you should know about this indicator

  • We have other democracy data sources that also cover more recent years and have more precise data. You can find them in our Key Democracy Charts and Democracy Data Explorer.
  • Democracies have mostly democratic characteristics, understood as open, multi-party, and competitive elections choosing a chief executive who faces comprehensive institutional constraints, and competitive political participation.
  • Anocracies have neither clearly democratic nor autocratic characteristics.
  • Autocracies have mostly autocratic/non-democratic characteristics.
  • It uses the conventional coding rules (-10 to -6 as autocracies, -5 to 5 as anocracies, and 6 to 10 as democracies) of coding Polity regimes given here: https://www.systemicpeace.org/polityproject.html
Democracy
Identifies the political regime of a country using the Polity 5 data by the Center for Systemic Peace. It distinguishes between autocracies (score 0), anocracies (score 1), and democracies (score 2).
Source
Polity 5 (2020)processed by Our World in Data
Last updated
May 13, 2024
Next expected update
May 2026
Date range
1776–2020

Sources and processing

Polity 5 – Polity5 Project, Political Regime Characteristics and Transitions, 1800-2018

The Polity5 project continues the Polity research tradition of coding the authority characteristics of states in the world system for purposes of comparative, quantitative analysis. The original Polity conceptual scheme was formulated and the initial Polity I data collected under the direction of Ted Robert Gurr and informed by foundational, collaborative work with Harry Eckstein, Patterns of Authority: A Structural Basis for Political Inquiry (New York: John Wiley & Sons, 1975). The Polity project has proven its value to researchers over the years, becoming the most widely used resource for monitoring regime change and studying the effects of regime authority. The Polity project evolved through three earlier research phases, all under the direction of Ted Gurr. The Polity III phase updated core Polity data through 1992 and was later updated through 1998 and released as the Polity98 version. Through its evolution, the format of the Polity data has been transformed from its original focus on “persistence and change” in the “polity” as the unit of analysis (i.e., politycase format) to its present country-year case format. The original Polity I format was revisited by a research team under the direction of Nils Petter Gleditsch and information concerning the dates of coded polity changes was updated in 1994 and made available in the original polity-case format as Polity IIId. In the late 1990s, Polity became a core data project in the State Failure Task Force global forecasting project. The special focus on “state failure” problem events within a general context of societal and systemic development processes requires information pertinent to both Polity foci, state continuity and change (country-year format) and regime persistence and change (polity-case format), be combined in a single data resource base. The Polity IV combined format version was instituted with the 2000 data update.

Retrieved on
May 13, 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.
Marshall, Monty G. and Ted Robert Gurr. 2020. Polity 5: Political Regime Characteristics and Transitions, 1800-2018. Center for Systemic Peace.

The Polity5 project continues the Polity research tradition of coding the authority characteristics of states in the world system for purposes of comparative, quantitative analysis. The original Polity conceptual scheme was formulated and the initial Polity I data collected under the direction of Ted Robert Gurr and informed by foundational, collaborative work with Harry Eckstein, Patterns of Authority: A Structural Basis for Political Inquiry (New York: John Wiley & Sons, 1975). The Polity project has proven its value to researchers over the years, becoming the most widely used resource for monitoring regime change and studying the effects of regime authority. The Polity project evolved through three earlier research phases, all under the direction of Ted Gurr. The Polity III phase updated core Polity data through 1992 and was later updated through 1998 and released as the Polity98 version. Through its evolution, the format of the Polity data has been transformed from its original focus on “persistence and change” in the “polity” as the unit of analysis (i.e., politycase format) to its present country-year case format. The original Polity I format was revisited by a research team under the direction of Nils Petter Gleditsch and information concerning the dates of coded polity changes was updated in 1994 and made available in the original polity-case format as Polity IIId. In the late 1990s, Polity became a core data project in the State Failure Task Force global forecasting project. The special focus on “state failure” problem events within a general context of societal and systemic development processes requires information pertinent to both Polity foci, state continuity and change (country-year format) and regime persistence and change (polity-case format), be combined in a single data resource base. The Polity IV combined format version was instituted with the 2000 data update.

Retrieved on
May 13, 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.
Marshall, Monty G. and Ted Robert Gurr. 2020. Polity 5: Political Regime Characteristics and Transitions, 1800-2018. Center for Systemic Peace.

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

Values -66, -77 and -88 are recoded as missing (NAs), as per the rules on page 17 of the Polity 5 codebook.

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: Democracy”, part of the following publication: Bastian Herre, Lucas Rodés-Guirao, and Esteban Ortiz-Ospina (2013) - “Democracy”. Data adapted from Polity 5. Retrieved from https://archive.ourworldindata.org/20260304-094028/grapher/political-regime-polity.html [online resource] (archived on March 4, 2026).

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:

Polity 5 (2020) – processed by Our World in Data

Full citation

Polity 5 (2020) – processed by Our World in Data. “Democracy” [dataset]. Polity 5, “Polity5 Project, Political Regime Characteristics and Transitions, 1800-2018 5” [original data]. Retrieved April 1, 2026 from https://archive.ourworldindata.org/20260304-094028/grapher/political-regime-polity.html (archived on March 4, 2026).

Quick download

Download the data shown in this chart as a ZIP file containing a CSV file, metadata in JSON format, and a README. The CSV file can be opened in Excel, Google Sheets, and other data analysis tools.

Data API

Use these URLs to programmatically access this chart's data and configure your requests with the options below. Our documentation provides more information on how to use the API, and you can find a few code examples below.

Data URL (CSV format)
https://ourworldindata.org/grapher/political-regime-polity.csv?v=1&csvType=full&useColumnShortNames=false
Metadata URL (JSON format)
https://ourworldindata.org/grapher/political-regime-polity.metadata.json?v=1&csvType=full&useColumnShortNames=false

Code examples

Examples of how to load this data into different data analysis tools.

Excel / Google Sheets
=IMPORTDATA("https://ourworldindata.org/grapher/political-regime-polity.csv?v=1&csvType=full&useColumnShortNames=false")
Python with Pandas
import pandas as pd
import requests

# Fetch the data.
df = pd.read_csv("https://ourworldindata.org/grapher/political-regime-polity.csv?v=1&csvType=full&useColumnShortNames=false", storage_options = {'User-Agent': 'Our World In Data data fetch/1.0'})

# Fetch the metadata
metadata = requests.get("https://ourworldindata.org/grapher/political-regime-polity.metadata.json?v=1&csvType=full&useColumnShortNames=false").json()
R
library(jsonlite)

# Fetch the data
df <- read.csv("https://ourworldindata.org/grapher/political-regime-polity.csv?v=1&csvType=full&useColumnShortNames=false")

# Fetch the metadata
metadata <- fromJSON("https://ourworldindata.org/grapher/political-regime-polity.metadata.json?v=1&csvType=full&useColumnShortNames=false")
Stata
import delimited "https://ourworldindata.org/grapher/political-regime-polity.csv?v=1&csvType=full&useColumnShortNames=false", encoding("utf-8") clear