This feature layer is part of SDGs Today. Please see sdgstoday.org.Armed conflicts arise from many sources, including border disputes, civil war, and religious and tribal clashes. Increasingly, these conflicts are originating due to poor environmental conditions, such as lack of access to water resources and arable land, drought, and famine. The Armed Conflict Location & Event Data Project (ACLED), a disaggregated data collection, analysis, and crisis mapping project, maintains a database of all forms of human conflict from over 50 developing countries.ACLED is the most widely used real-time data and analysis source on political violence and protest around the world. It collects the dates, actors, locations, fatalities, and modalities of all reported political violence and protest events across major regions, including Africa, South and Southeast Asia, Central Asia and the Caucasus, the Middle East, Latin America, the Caribbean, Southeastern and Eastern Europe, and the Balkans. ACLED uses four types of data sources for its analysis: traditional media, reports from NGOs/governments, local partner data, and social media. Each week, ACLED researchers analyze thousands of sources in multiple languages to provide the most comprehensive database on political violence and demonstrations.

The Armed Conflict Location & Event Data Project (ACLED) is a US-registered non-profit whose mission is to provide the highest quality real-time data on political violence and demonstrations globally. The information collected includes the type of event, its date, the location, the actors involved, a brief narrative summary, and any reported fatalities. ACLED users rely on our robust global dataset to support decision-making around policy and programming, accurately analyze political and country risk, support operational security planning, and improve supply chain management.ACLED’s transparent methodology, expert team composed of 250 individuals speaking more than 70 languages, real-time coding system, and weekly update schedule are unrivaled in the field of data collection on conflict and disorder. Global Coverage: We track political violence, demonstrations, and strategic developments around the world, covering more than 240 countries and territories.Published Weekly: Our data are collected in real time and published weekly. It is the only dataset of its kind to provide such a high update frequency, with peer datasets most often updating monthly or yearly.Historical Data: Our dataset contains at least two full years of data for all countries and territories, with more extensive coverage available for multiple regions.Experienced Researchers: Our data are coded by experienced researchers with local, country, and regional expertise and language skills.Thorough Data Collection and Sourcing: Pulling from traditional media, reports, local partner data, and verified new media, ACLED uses a tailor-made sourcing methodology for individual regions/countries.Extensive Review Process: Our data go through an exhaustive multi-stage quality assurance process to ensure their accuracy and reliability. This process includes both manual and automated error checking and contextual review.Clean, Standardized, and Validated: Our data can be easily connected with internal dashboards through our API or downloaded through the Data Export Tool on our website.Resources Available on ESRI’s Living AtlasACLED data are available through the Living Atlas for the most recent 12 month period. The data are mapped to the centroid of first administrative divisions (“admin1”) within countries (e.g., states, districts, provinces) and aggregated by month. Variables in the data include:The number of events per admin1-month, disaggregated by event type (protests, riots, battles, violence against civilians, explosions/remote violence, and strategic developments)A conservative estimate of reported fatalities per admin1-monthThe total number of distinct violent actors active in the corresponding admin1 for each monthThis Living Atlas item is a Web Map, which provides a pre-configured view of ACLED event data in a few layers:ACLED Event Counts layer: events per admin1-month, styled by predominant event type for each location.ACLED Violent Actors layer: the number of distinct violent actors per admin1-month.ACLED Fatality Estimates layer: the estimated number of fatalities from political violence per admin1-month.These layers are based on the ACLED Conflict and Demonstrations Event Data Feature Layer, which has the same data but only a basic default styling that is similar to the Event Counts layer. The Web Map layers are configured with a time-slider component to account for the multiple months of data per admin1 unit. These indicators are also available in the ACLED Conflict and Demonstrations Data Key Indicators Group Layer, which includes the same preconfigured layers but without the time-slider component or background layers.Resources Available on the ACLED WebsiteThe fully disaggregated dataset is available for download on ACLED's website including:Date (day, month, year)Actors, associated actors, and actor typesLocation information (ADMIN1, ADMIN2, ADMIN3, location and geo coordinates)A conservative fatality estimateDisorder type, event types, and sub-event typesTags further categorizing the data A notes column providing a narrative of the event For more information, please see the ACLED Codebook.To explore ACLED’s full dataset, please register on the ACLED Access Portal, following the instructions available in this Access Guide. Upon registration, you’ll receive access to ACLED data on a limited basis. Commercial users have access to 3 free data downloads company-wide with access to up to one year of historical data. Public sector users have access to 6 downloads of up to three years of historical data organization-wide. To explore options for extended access, please reach out to our Access Team (access@acleddata.com).With an ACLED license, users can also leverage ACLED’s interactive Global Dashboard and check in for weekly data updates and analysis tracking key political violence and protest trends around the world. ACLED also has several analytical tools available such as our Early Warning Dashboard, Conflict Alert System (CAST), and Conflict Index Dashboard.

The Armed Conflict Location & Event Data Project (ACLED) is a US-registered non-profit whose mission is to provide the highest quality real-time data on political violence and demonstrations globally. The information collected includes the type of event, its date, the location, the actors involved, a brief narrative summary, and any reported fatalities. ACLED users rely on our robust global dataset to support decision-making around policy and programming, accurately analyze political and country risk, support operational security planning, and improve supply chain management.ACLED’s transparent methodology, expert team composed of 250 individuals speaking more than 70 languages, real-time coding system, and weekly update schedule are unrivaled in the field of data collection on conflict and disorder. Global Coverage: We track political violence, demonstrations, and strategic developments around the world, covering more than 240 countries and territories.Published Weekly: Our data are collected in real time and published weekly. It is the only dataset of its kind to provide such a high update frequency, with peer datasets most often updating monthly or yearly.Historical Data: Our dataset contains at least two full years of data for all countries and territories, with more extensive coverage available for multiple regions.Experienced Researchers: Our data are coded by experienced researchers with local, country, and regional expertise and language skills.Thorough Data Collection and Sourcing: Pulling from traditional media, reports, local partner data, and verified new media, ACLED uses a tailor-made sourcing methodology for individual regions/countries.Extensive Review Process: Our data go through an exhaustive multi-stage quality assurance process to ensure their accuracy and reliability. This process includes both manual and automated error checking and contextual review.Clean, Standardized, and Validated: Our data can be easily connected with internal dashboards through our API or downloaded through the Data Export Tool on our website.Resources Available on ESRI’s Living AtlasACLED data are available through the Living Atlas for the most recent 12 month period. The data are mapped to the centroid of first administrative divisions (“admin1”) within countries (e.g., states, districts, provinces) and aggregated by month. Variables in the data include:The number of events per admin1-month, disaggregated by event type (protests, riots, battles, violence against civilians, explosions/remote violence, and strategic developments)A conservative estimate of reported fatalities per admin1-monthThe total number of distinct violent actors active in the corresponding admin1 for each monthThis Living Atlas item is a Web Map, which provides a pre-configured view of ACLED event data in a few layers:ACLED Event Counts layer: events per admin1-month, styled by predominant event type for each location.ACLED Violent Actors layer: the number of distinct violent actors per admin1-month.ACLED Fatality Estimates layer: the estimated number of fatalities from political violence per admin1-month.These layers are based on the ACLED Conflict and Demonstrations Event Data Feature Layer, which has the same data but only a basic default styling that is similar to the Event Counts layer. The Web Map layers are configured with a time-slider component to account for the multiple months of data per admin1 unit. These indicators are also available in the ACLED Conflict and Demonstrations Data Key Indicators Group Layer, which includes the same preconfigured layers but without the time-slider component or background layers.Resources Available on the ACLED WebsiteThe fully disaggregated dataset is available for download on ACLED's website including:Date (day, month, year)Actors, associated actors, and actor typesLocation information (ADMIN1, ADMIN2, ADMIN3, location and geo coordinates)A conservative fatality estimateDisorder type, event types, and sub-event typesTags further categorizing the data A notes column providing a narrative of the event For more information, please see the ACLED Codebook.To explore ACLED’s full dataset, please register on the ACLED Access Portal, following the instructions available in this Access Guide. Upon registration, you’ll receive access to ACLED data on a limited basis. Commercial users have access to 3 free data downloads company-wide with access to up to one year of historical data. Public sector users have access to 6 downloads of up to three years of historical data organization-wide. To explore options for extended access, please reach out to our Access Team (access@acleddata.com).With an ACLED license, users can also leverage ACLED’s interactive Global Dashboard and check in for weekly data updates and analysis tracking key political violence and protest trends around the world. ACLED also has several analytical tools available such as our Early Warning Dashboard, Conflict Alert System (CAST), and Conflict Index Dashboard.

Political violence affects two billion citizens across the world. The consequences are stark: since 2005, additional mortality from armed conflict is close to two million (PSR, 2015); development progress is reversed (World Bank, 2011); and there are high economic costs borne by affected states (Brück et al, 2013). Conflict contributes to political decline, high corruption and poverty, poor social cohesion, and low institutional trust. It likewise exacerbates existing global threats, such as border insecurity, the proliferation of weapons of mass destruction, and the spread of extremist ideologies and terrorism. While the consequences of conflict are known, objective, timely, high-quality data are necessary to understand the extent of these effects across high risk and unstable contexts.

ACLED is an event-based data project designed for disaggregated conflict analysis and crisis mapping. Data are updated weekly and can be downloaded using the Data Export Tool or the API.

ACLED collects the dates, actors, locations, fatalities, and types of all reported political violence and protest events across Africa, the Middle East, Latin America & the Caribbean, East Asia, South Asia, Southeast Asia, Central Asia & the Caucasus, Europe, and the United States.

For further information about ACLED's data, please see the codebook at: https://acleddata.com/acleddatanew/wp-content/uploads/dlm_uploads/2019/01/ACLED_Codebook_2019FINAL.docx.pdf

For a full description of ACLED's geographic coverage, please see: https://acleddata.com/acleddatanew/wp-content/uploads/dlm_uploads/2019/01/ACLED_Country-and-Time-Period-Coverage_updFeb2021.pdf

ACLED makes its dataset of disaggregated conflict and protest data publicly available. A new version of the dataset is released annually, with data from the previous year and targeted quality review being added in each new version. Files for all countries are composed of ACLED events which indicate the day, actors, type of activity, location, fatalities, sources and notes for individual politically violent events. Please see the codebook for further details on conflict categories, actors, events and sources. The user guide provides guidance on downloading and reading files.

ACLED data are presented in three forms: the first is an Excel for the entire African continent; the second is a corresponding shapefile of the African continent created from those data; the third format is an Excel file called “COUNTRY X” containing data disaggregated by country which occur in the named state’s territory (including foreign groups active in a state’s territory).

Realtime data for 2015 is collected and published on a weekly basis. Due to the realtime nature of data collection which results in occasional reporting lags, and/or insufficient detail in early event reports for inclusion in the dataset, a small number of events in the 2015 data pre-date this period. These have been coded and published for the first time in 2015 and do not duplicate any events found in the full published dataset. Data files are updated each Monday, containing data from the previous week. The data files below include a single running file for all 2015 data, and monthly data files. Please note: ACLED periodically carries out quality checks and reviews on historical data (from 1997-2014) as part of our revision process, adding newly coded events from historical periods as required. These data are included in our running realtime file (below), and will be included in a fully revised and updated version of the annual dataset in January. Please check back for updates, or sign up to our mailing list to receive email alerts, data files and publications from ACLED directly.

The following are user documents which detail methodology and use of the ACLED dataset.

ACLED data can be disaggregated not only by location and year, but also by the type of violence involved in each event (for example, civil unrest in the form of rioting or protesting, or non-combatant targeting under violence against civilians), the groups involved (for example, events involving the LRA or state forces), and the types of conflict (for example, civil wars defined as conflicts involving rebel and state forces).

Users can disaggregate data directly by selecting relevant categories of actors, conflict types or interaction terms in the larger dataset, or use some of the data files below by actor and event type. The data below are drawn from ACLED Version 5.

This map is part of SDGs Today. Please see sdgstoday.org.Armed conflicts arise from many sources, including border disputes, civil war, and religious and tribal clashes. Increasingly, these conflicts are originating due to poor environmental conditions, such as lack of access to water resources and arable land, drought, and famine. The Armed Conflict Location & Event Data Project (ACLED), a disaggregated data collection, analysis, and crisis mapping project, maintains a database of all forms of human conflict from over 50 developing countries.ACLED is the most widely used real-time data and analysis source on political violence and protest around the world. It collects the dates, actors, locations, fatalities, and modalities of all reported political violence and protest events across major regions, including Africa, South and Southeast Asia, Central Asia and the Caucasus, the Middle East, Latin America, the Caribbean, Southeastern and Eastern Europe, and the Balkans. ACLED uses four types of data sources for its analysis: traditional media, reports from NGOs/governments, local partner data, and social media. Each week, ACLED researchers analyze thousands of sources in multiple languages to provide the most comprehensive database on political violence and demonstrations.

A weekly dataset providing the total number of reported political violence, civilian-targeting, and demonstration events in Central African Republic. Note: These are aggregated data files organized by country-year and country-month. To access full event data, please register to use the Data Export Tool and API on the ACLED website.

ACLED makes its dataset of disaggregated conflict data publicly available. A new version of the dataset is released annually, with data from the previous year and targeted quality review being added in each new version. Files for all countries are composed of ACLED events which indicate the day, actors, type of activity, location, fatalities, sources and notes for individual politically violent events. Please see the codebook for further details on conflict categories, actors, events and sources. The user guide provides guidance on downloading and reading files.

ACLED data can be disaggregated not only by location and year, but also by the type of violence involved in each event (for example, civil unrest in the form of rioting or protesting, or non-combatant targeting under violence against civilians), the groups involved (for example, events involving the LRA or state forces), and the types of conflict (for example, civil wars defined as conflicts involving rebel and state forces). Users can disaggregate data directly by selecting relevant categories of actors, conflict types or interaction terms in the larger dataset, or use some of the data files below by actor and event type. The data below are drawn from ACLED Version 5.

ACLED makes its dataset of disaggregated conflict and protest data publicly available. A new version of the dataset is released annually, with data from the previous year and targeted quality review being added in each new version. Files for all countries are composed of ACLED events which indicate the day, actors, type of activity, location, fatalities, sources and notes for individual politically violent events. Please see the codebook for further details on conflict categories, actors, events and sources. The user guide provides guidance on downloading and reading files.

ACLED data are presented in three forms: the first is an Excel for the entire African continent; the second is a corresponding shapefile of the African continent created from those data; the third format is an Excel file called “COUNTRY X” containing data disaggregated by country which occur in the named state’s territory (including foreign groups active in a state’s territory).

This dataset contains the ACLED conflict index, its classification, and related underlying dimensions and rankings of deadliness, danger, diffusion, and fragmentation for the 279 second-level administrative areas of Mauritania, Mali, Burkina Faso, Niger, and Chad between 2018 and 2023. Following a slightly modified version of ACLED's conflict index methodology, the dataset is generated based on ACLED’s curated dataset for Africa (5 January 2024) and United Nations Office for the Coordination of Humanitarian Affairs's (OCHA) geographic dataset for the Sahel (including P-codes).

This dataset compares different media sources reporting on violent events, using the 2017 Kenyan elections as a case study. It compares reports generated through traditional media, using the ACLED database (a much used source for comparing traditional media reports), to Twitter reports of violence, using a novel method for combing Twitter for violence related tweets, using an algorithm developed by the Department of Informatics at the University of Sussex (named Method 52), along three dimensions: 1) Geography and geographical coverage 2) Temporality- timeliness, temporal coverage and time precision and 3) Targeting/representativeness.

The project will produce a robust evidence base on the opportunities and limitations of social media data on violence reporting to inform UK emergency and crisis response, in the context of violence monitoring in Kenya. Effective UK Government crisis and emergency response increasingly depends on the availability of timely, reliable data on political violence, to determine the scale and dimensions of crises and tailor responses. While social media reports of violence can inform the design, targeting, and geography of crisis response, there is limited robust research on their reliability and comprehensiveness. This project addresses this gap, by testing reliability and comprehensiveness of social media data, against conventional media reporting of violence in a real-time context: the August 2017 Kenyan elections. It will identify opportunities new data provide for policy, and what limitations restrict usability, along three dimensions: 1) reporting timeliness; 2) targeting of crisis response; and 3) geographies of violence risk. Building on extensive social media use in Kenya, and a history of violence reporting via social media the case facilitates a test of social media data in a promising context. The project is being carried out in partnership with researchers at the University of Sussex, the Armed Conflict Location & Event Dataset (ACLED), and the Centre for Human Rights and Policy Studies (CHRIPS) in Nairobi, Kenya.

Dataset

This dataset was created by Can Iban, PhD

Contents

Realtime data for 2015 is collected and published on a weekly basis. Due to the realtime nature of data collection which results in occasional reporting lags, and/or insufficient detail in early event reports for inclusion in the dataset, a small number of events in the 2015 data pre-date this period. These have been coded and published for the first time in 2015 and do not duplicate any events found in the full published dataset.

Data files are updated each Monday, containing data from the previous week. The data files below include a single running file for all 2015 data, and monthly data files.

Please note: ACLED periodically carries out quality checks and reviews on historical data (from 1997-2014) as part of our revision process, adding newly coded events from historical periods as required. These data are included in our running realtime file (below), and will be included in a fully revised and updated version of the annual dataset in January.

Please check back for updates, or sign up to our mailing list to receive email alerts, data files and publications from ACLED directly.

Content

This dataset contain data about armed conflict locations & event data in Saudi Arabia from the beginning of 2016 until mid April 2019. The 'fatalities' feature can be used as a target to model for predictions.

Acknowledgements

We thank ACLED for providing this data. Find ACLED here.

Inspiration

How many fatalities based on event type and subtype? What to expect when each actor is involved in conflict? What regions are impacted the most? What are the events that manifest more fatalities? Can we model and predict fatalities based on the features we have?

Licence

Non-Commercial Licenses - ACLED’s full dataset is available for use free of charge by noncommercial entities and organizations (e.g., non-profit organizations, government agencies, academic institutions) using the data for non-commercial purposes, subject to these Terms of Use. Non-commercial licenses may also be granted to for-profit media outlets or journalists
citing ACLED’s content in works of journalism; provided that such works are made available to the general public and benefit public discourse on the topic, subject to ACLED’s prior, written approval.

Geospatial Dataset of GNSS Anomalies and Political Violence Events

Overview

The Geospatial Dataset of GNSS Anomalies and Political Violence Events is a collection of data that integrates aircraft flight information, GNSS (Global Navigation Satellite System) anomalies, and political violence events from the ACLED (Armed Conflict Location & Event Data Project) database.

Dataset Files

The dataset consists of three CSV files:

1. Daily_GNSS_Anomalies_and_ACLED-2023-V1.csv
• Description: Contains all grids and dates that had aircraft traffic during 2023.
• Number of Records: 6,777,228
• Purpose: Provides a complete view of aircraft movements and associated data, including grids without any GNSS anomalies.
2. Daily_GNSS_Anomalies_and_ACLED-2023-V2.csv
• Description: A filtered version of V1, including only the grids and dates where GNSS anomalies (jumps or gaps) were reported.
• Number of Records: 718,237
• Purpose: Focuses on areas and times with GNSS anomalies for targeted analysis.
3. Monthly_GNSS_Anomalies_and_ACLED-2023-V9.csv
• Description: Contains aggregated monthly data for each grid cell, combining GNSS anomalies and ACLED political violence events. Summarizes aircraft traffic, anomaly counts, and conflict activity at a monthly resolution.
• Number of Records: 25,770
• Purpose: Enables temporal trend analysis and spatial correlation studies between GNSS interference and political violence, using reduced data volume suitable for modeling and visualization.

Data Fields: Daily_GNSS_Anomalies_and_ACLED-2023-V1.csv and Daily_GNSS_Anomalies_and_ACLED-2023-V2.csv

1. grid_id
• Description: Unique identifier for a grid cell on Earth measuring 0.5 degrees latitude by 0.5 degrees longitude.
• Format: String combining latitude and longitude (e.g., -10.0_-36.0).
2. day
• Description: Date of the recorded data.
• Format: YYYY-MM-DD (e.g., 2023-03-28).
3. geometry
• Description: Polygon coordinates of the grid cell in Well-Known Text (WKT) format.
• Format: POLYGON((longitude latitude, ...)) (e.g., POLYGON((-36.0 -10.0, -35.5 -10.0, -35.5 -9.5, -36.0 -9.5, -36.0 -10.0))).
4. flights
• Description: Number of aircraft flights that passed through the grid on that day.
• Format: Integer (e.g., 28).
5. GPS_jumps
• Description: Number of reported GNSS "jump" anomalies (possible spoofing incidents) in the grid on that day.
• Format: Integer (e.g., 1).
6. GPS_gaps
• Description: Number of reported GNSS "gap" anomalies, indicating gaps in aircraft routes, in the grid on that day.
• Format: Integer (e.g., 0).
7. gaps_density
• Description: Density of GNSS gaps, calculated as the number of gaps divided by the number of flights.
• Format: Decimal (e.g., 0).
8. jumps_density
• Description: Density of GNSS jumps, calculated as the number of jumps divided by the number of flights.
• Format: Decimal (e.g., 0.035714286).
9. event_id_cnty
• Description: ACLED event ID corresponding to political violence events in the grid on that day.
• Format: String (e.g., BRA69267).
10. disorder_type
• Description: Type of disorder as classified by ACLED (e.g., "Political violence").
• Format: String.
11. event_type
• Description: General category of the event according to ACLED (e.g., "Violence against civilians").
• Format: String.
12. sub_event_type
• Description: Specific subtype of the event as per ACLED classification (e.g., "Attack").
• Format: String.
13. acled_count
• Description: Number of ACLED events in the grid on that day.
• Format: Integer (e.g., 1).
14. acled_flag
• Description: Indicator of ACLED event presence in the grid on that day (0 for no events, 1 for one or more events).
• Format: Integer (0 or 1).

Data Fields: Monthly_GNSS_Anomalies_and_ACLED-2023-V9.csv

The file contains monthly aggregated GNSS anomaly and ACLED event data per grid cell. The structure and meaning of each field are detailed below:

1. grid_id
• Description: Unique identifier for a grid cell on Earth measuring 0.5° latitude by 0.5° longitude.
• Format: String combining latitude and longitude (e.g., -0.5_-79.0).
2. year_month
• Description: Month and year of the aggregated data.
• Format: String in Mon-YY format (e.g., Jan-23).
3. geometry
• Description: Polygon coordinates of the grid cell in Well-Known Text (WKT) format.
• Format: POLYGON((longitude latitude, ...))
  (e.g., POLYGON((-79.0 -0.5, -78.5 -0.5, -78.5 0.0, -79.0 0.0, -79.0 -0.5))).
4. flights
• Description: Total number of aircraft flights that passed through the grid cell during the month.
• Format: Integer (e.g., 1230).
5. GPS_jumps
• Description: Total number of GNSS "jump" anomalies (possible spoofing events) in the grid cell during the month.
• Format: Integer (e.g., 13).
6. GPS_gaps
• Description: Total number of GNSS "gap" anomalies, indicating interruptions in aircraft routes, during the month.
• Format: Integer (e.g., 0).
7. event_id_cnty
• Description: Semicolon-separated list of ACLED event IDs associated with the grid cell during the month.
• Format: String (e.g., ECU3151;ECU3158;ECU3150).
8. disorder_type
• Description: Semicolon-separated list of disorder types (e.g., "Political violence", "Demonstrations") reported by ACLED in that grid cell during the month.
• Format: String.
9. event_type
• Description: Semicolon-separated list of high-level ACLED event types (e.g., "Riots", "Protests").
• Format: String.
10. sub_event_type

• Description: Semicolon-separated list of detailed subtypes of ACLED events (e.g., "Mob violence", "Armed clash").
• Format: String.

1. acled_count

• Description: Total number of ACLED conflict events in the grid cell during the month.
• Format: Integer (e.g., 2).

1. acled_flag

• Description: Conflict presence indicator: 1 if any ACLED event occurred in the grid cell during the month, otherwise 0.
• Format: Integer (0 or 1).

1. gaps_density

• Description: Monthly density of GNSS gaps, calculated as GPS_gaps / flights.
• Format: Decimal (e.g., 0.0).

1. jumps_density

• Description: Monthly density of GNSS jumps, calculated as GPS_jumps / flights.
• Format: Decimal (e.g., 0.0106).

Data Sources

• GNSS Anomalies Data:
• Calculated from ADS-B (Automatic Dependent Surveillance-Broadcast) messages obtained via the OpenSky Network's Trino database.
• GNSS anomalies include "jumps" (potential spoofing incidents) and "gaps" (interruptions in aircraft route data).
• Political Violence Events Data:
• Sourced from the ACLED database, which provides detailed information on political violence and protest events worldwide.

Temporal and Spatial Coverage

• Temporal Coverage:
• From January 1, 2023, to December 31, 2023.
• Daily records provide temporal granularity for time-series analysis.
• Spatial Coverage:
• Global coverage with grid cells measuring 0.5 degrees latitude by 0.5 degrees longitude.
• Each grid cell represents an area on Earth's surface, facilitating spatial

A weekly dataset providing the total number of reported political violence, civilian-targeting, and demonstration events in Togo. Note: These are aggregated data files organized by country-year and country-month. To access full event data, please register to use the Data Export Tool and API on the ACLED website.