Dec 16, 2025

DEED v7 Dataset Release

We are excited to announce that Version 7 of the Democratic Erosion Event Dataset (DEED) has now been published! The new version of DEED includes 23,421 event observations related to democratic erosion and autocratic consolidation across 156 countries from 2000 to 2023. DEED v7 classifies events into 76 distinct categories across 4 event types (precursors to, symptoms of, and resistance to erosion, and destabilizing events in authoritarian regimes).

You can now download the DEED v7 dataset, access the latest codebook, and use our updated data viewer and visualizations.

 

What’s New in Version 7 of the Dataset?

 

Version 7 Updates
  • Increased coverage: quadrupled the number of observations since v6
  • Added information about Actors and Targets for all events
  • Increased quality: each event reviewed by multiple coders
 

Increased Coverage

 

DEED v7 reflects several key improvements that expand the dataset’s coverage, accuracy and level of detail. Our event data come from two narrative sources: country case studies produced by  students participating in a semester-long DEC course and, beginning with v7, Freedom House country reports that are coded by DEC student fellows. With 23,421 observations, DEED v7 reflects a significant increase in the number of events captured per country. To produce v7, we coded every Freedom House annual report from 2000 to 2023, meaning every country in our dataset has events coded from every report in that time frame, ensuring more systematic and comprehensive coverage. We then combined these data with the existing student case study dataset (v6). Thanks to this coding effort, the number of erosion events in our data has increased by 17,436 observations from v6 to v7.

 

New Actor and Target Variables

 
The new version of DEED also features new variables that capture the actors and institutions involved in each event. These new variables determine who is driving the event (actor) and who is affected by it (target). For the actor variable, coders identify the individual or institution responsible for planning, implementing or pushing forward the erosion or resistance event. Coders then identify the target category that best represents the individual or institution that the event is directed toward or impacts. DEED v7 features 56 new possible actor and target variables.

Actors and targets are grouped into Central/Federal Level government actors and institutions (i.e. Heads of State, legislature, Supreme Court); State and Local Level government actors and institutions (i.e. mayors, local governments, local courts); Civil Society (i.e. social movements, journalists, business actors); and External Actors (i.e. foreign countries, international organizations).  (You can see the full list of all actors/targets in the DEED v7 codebook.) Figure 1 shows the number of events by different groups of actors and institutions for both the target and actor variables, across the symptom and precursor event types. The figure shows how central or federal level politicians and institutions are driving the precursor and symptom events in the dataset, whereas civil society is the target of those events.

Figure 1: Actors vs. Targets for Precursor and Symptom Events

 

Quality Control and Deduplication Process

 

During the summer of 2025, we conducted an extensive data validation exercise on both the existing student case study dataset (v6) and the newly coded Freedom House observations. Coders were trained to evaluate each observation to identify and correct insufficient or missing information, incorrect details, and miscategorizations. Coders also resolved duplicate events that occurred when a student case study and a Freedom House report captured the same incident. DEED v7 represents the completion of this process, in which every observation was reviewed, corrected when necessary, and consolidated, ensuring the most comprehensive and accurate dataset to date.

 

Patterns in DEED Version 7: What Does the Data Show?

 

DEED classifies event observations into 4 types: precursors, symptoms, resistance, and destabilizing events, and into more than 70 distinct categories. Figure 2 illustrates the distribution of events across the four types from 2000 to 2023.  It also illustrates the most common event categories per type. For example, “media repression” is the most common symptom of erosion in DEED v7, and “nonviolent protest” is the most common resistance event.

 

Figure 2: Top Event Categories by Type 

DEED includes both democratic and authoritarian countries, allowing us to track patterns in erosion across regime types. Figure 3 shows the distribution of events by regime across four regime types: closed autocracy, electoral autocracy, electoral democracy, and liberal democracy.

The distribution of event types varies by regime, which offers insight into how erosion can manifest depending on a country’s political environment. Symptom events (shown in light grey) are most common in the two more authoritarian regime types (closed autocracy and electoral autocracy), while precursors (dark grey) are more common than symptoms in the two democratic regime types (bottom row). Figure 3 also shows how democracies tend to have higher levels of resistance events (shown in black) than more closed regimes.

Figure 3: Event Counts by Regime Type

 

 

Figure 4 shows the number of DEED events per year from 2000 to 2023, divided into the four event types. Across all event types, we see a slow increase in the number of events over time. We also see a spike in events in 2020. This is likely due to an increase in policies and actions that undercut democracy as a response to and result of the Covid-19 pandemic.1

 

Figure 4: Number of Events Per Year and Per Type, 2000-2023

 

 

Future Improvements

 

We aim to continue to update DEED annually. Our main focus for the next version of the dataset will be in increasing coverage to the 20 countries remaining to be fully coded, and incorporating events from 2024 and 2025. We will continue to use student case studies and Freedom House reports as narrative sources and to work closely with the DEC student fellows.

 

How to Access the Data

 


 
See for example, V-Dem’s report on global democracy from 2020: Alizada et al. 2021. Autocratization Turns Viral: Democracy Report 2021. University of Gothenburg: V-Dem Institute.

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