Dark Mode
Political Instability Dataset
Data Science and Analytics
Tags and Keywords
Trusted By
"No reviews yet"
Free
About
A collection of critical data points following crucial trends in the most significant anti-government protests worldwide since 2017. This resource acts as a one-stop source, containing records for all demonstrations, both those currently active and those that have occurred historically since the start date. The information was last updated in May 2022.
Columns
The dataset contains 21 distinct columns detailing various aspects of the protests:
- Country: The location where the protest took place (e.g., France, India).
- Protest Name: The common name associated with the demonstration (e.g., Coronavirus restriction protests, Corruption protests).
- Start Date: The beginning date of the protest event.
- Freedom Rating (Status): The political freedom status of the country at the time, such as 'Free' or 'Partly free'.
- Triggers: The immediate events or reasons that instigated the demonstration.
- Motivations: The underlying issues driving participation, such as frustration with coronavirus mandates or issues of systemic racism.
- Peak Size: An estimate of the maximum number of participants (e.g., >1,000, >10,000).
- Key Participants: The primary groups involved (e.g., General public, especially youth).
- Duration: The length of time the protest lasted (e.g., 1 day, 1 week).
- Outcomes: The resulting changes, or lack thereof, in response to the protests, such as 'No policy/leadership change'.
- Active protests: Marks if the protest is currently ongoing.
- Economic motivation?: Indicates if economic factors were a driver.
- Political motivation?: Indicates if political factors were a driver.
- Corruption motivation?: Indicates if corruption was a specific driver.
- Size category: Categorisation of the size, such as 'Thousands' or 'Tens of thousands'.
- Protests with a significant outcome: Marks events that resulted in meaningful change.
- Large protests (Over 100,000 protesting): Identifies major events.
- Violent government response: Marks instances where the government used force against demonstrators.
- Long protests (more than 3 months): Identifies sustained activism.
- Coronavirus-related protests: Highlights demonstrations linked specifically to the pandemic.
- Capital city: The specific capital city where the protest occurred, where applicable.
Distribution
The data is contained within a file named
GlobalProtestTracker.csv. The file size is approximately 147.09 kB. The structure consists primarily of 329 valid records across its 21 columns. The time frame of the entries spans from approximately February 2018 through December 2022.Usage
This resource is highly beneficial for studies focused on Social Issues and Advocacy. Ideal applications include Data Analytics for identifying global trends and Data Visualization for mapping political instability over time. It can be used to track specific events, such as the prevalence of protests against government coronavirus restrictions.
Coverage
The scope of this tracker is explicitly Global, documenting events across numerous countries. The dataset covers anti-government protests beginning in 2017. The records span a time period up to December 2022. The content coverage is broad, detailing triggers, motivations (political, economic, corruption), and outcomes related to civil unrest worldwide.
License
CC0: Public Domain
Who Can Use It
The structure and usability rating suggest this material is suitable for Beginner users. Intended users include political science researchers, journalists covering international affairs, data analysts tracking societal trends, and advocacy groups monitoring human rights and civil liberties.
Dataset Name Suggestions
- Global Protest Event Tracker
- Worldwide Anti-Government Demonstrations (2017-Present)
- Civil Unrest and Activism Log
- Political Instability Dataset
Attributes
Original Data Source: Political Instability Dataset
QUALITYLoading...