ACAPS is an independent information provider that is free from the bias or vested interests of any specific enterprise, sector, or region. As independent specialists in humanitarian needs analysis and assessment, we are not affiliated with the UN or any other organisation. This helps guarantee that our analysis is objective and evidence-based.
ACAPS was established in 2009 as a nonprofit, nongovernmental project with the aim of conducting independent, groundbreaking humanitarian analysis to help humanitarian workers, influencers, fundraisers, and donors make better-informed decisions. The project is overseen by a consortium of three NGOs: the Norwegian Refugee Council (NRC), Save the Children and Mercy Corps.
24 May 2022
| Dataset date: August 18, 2021-May 27, 2022
This dataset updates: Every two weeks
This bi-weekly dataset provides an overview of the latest areas of control in Yemen and includes a map, excel spreadsheet and GIS layer. All datasets are fully PCODED to Admin 2 district level, enabling interoperability with other datasets. Through understanding the latest areas of control, it is possible to enhance analysis in areas such as political-economy through adjusting tools to take into account the current geographic situation. This dataset forms part of the Yemen CrisisInsight product suite which includes the Yemen Core Dataset, Yemen: Crisis Impact Overview and Yemen Risk Overview.
17 May 2022
| Dataset date: January 01, 2020-May 27, 2022
This dataset updates: As needed
This dataset brings together data from a range of sources to provide a greater overall and comparative understanding of the current situation and context inside each district. The core indicators consist of key drivers (conflict, basic commodity prices, exclusion and marginalization, and disrupted access to life-saving services and income sources) and their major expected humanitarian impacts (food insecurity, cholera). The dataset includes a mix of quantitative and qualitative data. Qualitative data is collected by ACAPS through daily media monitoring, secondary data review, thematic products and discussions with experts in Yemen and the region. ACAPS tracks changes in these indicators and alerts the humanitarian community to emerging trends or risks that could overwhelm local coping mechanisms in Yemen, triggering a humanitarian emergency. This dataset forms the core of ACAPS Yemen Crisis Insight bi-monthly products such as the Yemen: Crisis Impact Overview and Yemen Risk Overview, and ad hoc risk alerts.
13 May 2022
| Dataset date: January 01, 2019-April 30, 2022
This dataset updates: Every month
The INFORM Severity Index is a regularly updated, and easily interpreted model for measuring the severity of humanitarian crisis globally.
It is a composite index, which brings together 31 core indicators, organised in three dimensions: impact, conditions of affected people, and complexity. All the indicators are scored on a scale of 1 to 5. These scores are then aggregated into components, the three dimensions (Impact, Conditions, Complexity), and the overall severity category based on the analytical framework. The three dimensions have been weighted according to their contribution to severity: impact of the crisis (20%); conditions of affected people (50%); complexity (30%). The weightings are currently a best estimate and will be refined using expert analysis and statistical methods. Each crisis will fall into 1 of 5 categories based on their score ranging from very low to high.
ACAPS – an INFORM technical partner – is responsible for collection, cleaning, analysis and input of data into the model and the production of the final results.
Read more on the GCSI methodology here: https://www.acaps.org/methodology/severity
This data is also available on ACAPS API: http://api.acaps.org/api/v1
16 March 2022
| Dataset date: December 15, 2020-December 15, 2020
This dataset updates: Every six months
ACAPS' Humanitarian Access Dataset puts together all the pieces of information on Humanitarian Access Constraints of the first half of 2021.
The report resulting from this dataset is the Humanitarian Access Overview, which outlines how access to humanitarian assistance continues to be restricted for crisis-affected populations in more than 60 countries.
Data from the dataset is coded according to access dimensions, indicators and sub-indicators, then scored on a 0 to 5 severity scale.
The dataset displays:
data collected, coded in "log" tab with its "data dictionary"
aggregation of data by country, scored per "indicator"
country scores (pillars, overall access score and information gaps) in "Scores" tab
gis compatible clean tab with ISO codes
According to this data, we identified the following:
Extreme access constraints (Level 5) for: Eritrea, Libya, Syria, Yemen.
Very high access constraints (Level 4) for: Afghanistan, Bangladesh, Cameroon, Democratic Republic of Congo (DRC), Ethiopia, Iraq, Mali, Myanmar, Nigeria, Palestine, Somalia, South Sudan, Venezuela.
High access constraints (Level 3) for: Azerbaijan, Burkina Faso, Central African Republic (CAR), Chad, Colombia, Democratic People’s Republic of Korea (DPRK), Honduras, India, Iran, Lebanon, Mozambique, Nicaragua, Niger, Pakistan, Sudan, Turkey, Ukraine.
For more information, download the dataset.
To access ACAPS' Humanitarian Access Overview, please visit: http://humanitarianaccess.acaps.org/
5 July 2021
| Dataset date: February 15, 2021-May 27, 2022
This dataset updates: As needed
Subnational dataset on the 2021 Ebola outbreak in Guinea including cases, deaths, hospitalisations, contact tracing, and vaccinations. The data is down to sub-prefecture level and updated approx 1-3 days since 15/02/21. The data has been extracted from the Government of Guinea situation reports, available from Relief Web.
The dataset contains the following information:
- Cas: Distribution of Ebola cases by health district, including suspected, confirmed, and probable cases.
- Patients et des décès: Situation of patients and deaths in epidemiological treatment centres, including hospitalisations, discharges, and deaths.
- Suivi des contacts: Status of contact tracing including number of contacts followed up, number not followed up, reasons for not following up, follow-up rate, contacts still remaining to follow up, and number of contacts who have become suspected cases.
- Vaccinations: Vaccination results and targets in N’Zérékoré, including target contacts, daily vaccine contacts, number vaccinated (cumulative), and percent of target contacts who have been vaccinated.
For more information, please see the README sheet of the dataset.
For any questions, please contact email@example.com.
Read the ACAPS short note Ebola outbreak in Guinea: https://www.acaps.org/country/guinea/special-reports#container-1630
10 December 2020
| Dataset date: March 17, 2020-March 17, 2020
This dataset updates: Never
The #COVID19 Government Measures Dataset puts together all the measures implemented by governments worldwide in response to the Coronavirus pandemic. Data collection includes secondary data review. The researched information available falls into five categories:
Public health measures
Social and economic measures
Each category is broken down into several types of measures.
ACAPS consulted government, media, United Nations, and other organisations sources.
For any comments, please contact us at firstname.lastname@example.org
Please note note that some measures together with non-compliance policies may not be recorded and the exact date of implementation may not be accurate in some cases, due to the different way of reporting of the primary data sources we used.
2 December 2020
| Dataset date: September 09, 2020-September 09, 2020
This dataset updates: Never
The objective of the dataset is to provide information that enables decision makers to better direct their efforts in addressing the wider effects of the COVID-19 pandemic. The dataset will track secondary impacts across a wide range of relevant themes: economy, health, migration, education to name a few.
A set of around 80 impact indicators anticipated to be impacted by COVID-19 have been identified and organised across 4 pillars and 13 thematic blocks. Additionally, a set of around 25 pre-COVID-19 baseline indicators have been selected for each pillar.
The data collection is conducted on a country-level and identifies the secondary impacts the COVID- 19 pandemic is having in more than 190 countries. Data comes from a range of available sources, including international organisations, research centres, and media analysis.
Note: These are the preliminary results of the data collection on secondary impacts. This dataset is currently in the beta-testing phase, we will keep improving and updating in the coming weeks.