Updated
18 May 2022
| Dataset date: January 01, 2021-April 30, 2022
This dataset updates: As needed
These datasets contains incidents in which aid access, education and healthcare services were impacted by explosive weapons. Insecurity Insight collaborates with the International Network on Explosive Weapons (INEW) in producing research and analysis on the harm and use of explosive weapons for the Explosive Weapons Monitor by documenting their effects on health care, education, and aid access.
Every month the Explosive Weapons Monitor publishes a bulletin with incidents from around the world as reported in open sources.
Updated
18 May 2022
| Dataset date: January 01, 2018-December 31, 2022
This dataset updates: Every year
This dataset was compiled by the United Nations Office for the Coordination of Humanitarian Affairs (UNOCHA) on behalf of the Humanitarian Country Team and partners. It provides the Humanitarian Country Team’s shared understanding of the crisis, including the most pressing humanitarian need and the estimated number of people who need assistance, and represents a consolidated evidence base and helps inform joint strategic response planning.
Intersectoral People in Need 2022:
For the 2022 Humanitarian Needs Overview, Yemen applied the enhanced HPC approach and the corresponding IASC Joint Inter-sector Analysis Framework (JIAF) global guidance. More details in the methodology of the HNO 2022 in the below link.
https://reliefweb.int/sites/reliefweb.int/files/resources/Yemen_HNO_2022%20-%20Final%20Version%20%281%29.pdf
Cluster People in Need 2022:
The data file contains people in need for 2022 per cluster. The data approved for use by the Humanitarian Country Team and it’s based on the Humanitarian Needs Overview for 2022 in Yemen. The tables are suitable for database or GIS linkages to the Yemen – Administrative Boundaries. The full Humanitarian Needs Overview available in the below link:
https://reliefweb.int/sites/reliefweb.int/files/resources/Yemen_HNO_2022%20-%20Final%20Version%20%281%29.pdf
Yemen Population estimates for 2022:
The data contains population estimates for 2022. The projections are based on 2004 Census data. The population figures are dis-aggregated by governorate and district levels, both containing p-codes. The data is further dis-aggregated by sex and age groups. The data approved for use by the Humanitarian Country Team and used in Humanitarian Needs Overview (HNO) for Yemen in 2022. These tables are suitable for database or GIS linkage to the Yemen - Administrative Boundaries boundaries.
Intersectoral People in Need 2021:
For the 2021 Humanitarian Needs Overview, Yemen applied the enhanced HPC approach and the corresponding IASC Joint Inter-sector Analysis Framework (JIAF) global guidance. More details in the methodology of the HNO 2021 in the below link.
https://reliefweb.int/sites/reliefweb.int/files/resources/Yemen_HNO_2021_Final.pdf
Cluster People in Need 2021:
The data file contains people in need for 2021 per cluster. The data approved for use by the Humanitarian Country Team and it’s based on the Humanitarian Needs Overview for 2021 in Yemen. The tables are suitable for database or GIS linkages to the Yemen – Administrative Boundaries. The full Humanitarian Needs Overview available in the below link:
https://reliefweb.int/sites/reliefweb.int/files/resources/Yemen_HNO_2021_Final.pdf
Yemen Population estimates for 2021:
The data contains population estimates for 2021. The projections are based on 2004 Census data. The population figures are dis-aggregated by governorate and district levels, both containing p-codes. The data is further dis-aggregated by sex and age groups. The data approved for use by the Humanitarian Country Team and used in Humanitarian Needs Overview (HNO) for Yemen in 2021. These tables are suitable for database or GIS linkage to the Yemen - Administrative Boundaries boundaries.
Updated
18 May 2022
| Dataset date: November 13, 2019-November 13, 2019
This dataset updates: Every year
With its Global Militarisation Index (GMI), BICC is able to objectively depict worldwide militarisation for the first time. The GMI compares, for example, a country’s military expenditure with its Gross Domestic Product (GDP) and its health expenditure.
It contrasts the total number of military and paramilitary forces in a country with the number of physicians. Finally, it studies the number of heavy weapons available to a country’s armed forces. These and other indicators are used to determine a country’s ranking, which in turn makes it possible to measure the respective level of militarisation in comparison to other countries.
The latest GMI of 2018 covers 155 countries and is based on the latest available figures (in most cases data for 2017). Israel, Singapore, Armenia, Cyprus, South Korea, Russia, Greece, Jordan, Brunei and Belarus are the top 10 worldwide. These countries allocate particularly high levels of resources to the military in comparison to other areas of society. See project website for more information
Updated
17 May 2022
| Dataset date: January 01, 2015-December 31, 2020
This dataset updates: As needed
The Common Operational Datasets is a tool that can help coordinators and managers from government agencies and humanitarian organizations determine the population demographics for advocacy, fundraising and programming at the very onset of an emergency. These CODs work by automatically providing the user with a simple way to access the ‘best available baseline data’ for the Philippines and subnational levels in consideration of the availability, scope, limitation, and quality of data coming from various government sources.
Updated
17 May 2022
| Dataset date: May 17, 2022-May 25, 2022
This dataset updates: Every year
Burkina Faso administrative level 0-3 edge-matched gazetteer, shapefiles, geodatabase, and geoservice.
These layers are suitable for database or GIS linkage to the Burkina Faso - Subnational Population Statistics tables using the ADM0, ADM1, ADM2, and ADM3_PCODE fields.
Vetting and live service provision by Information Technology Outreach Services (ITOS) with funding from USAID.
Updated
17 May 2022
| Dataset date: May 05, 2022-May 25, 2022
This dataset updates: Every year
Sri Lanka administrative level 0-2 projected sex and age disaggregated 2022 population statistics with standard five-year age groups and special age 15-17 and 18-24 variants
REFERENCE YEAR: 2022
These tables are suitable for database or GIS linkage to the Sri Lanka - Subnational Administrative Boundaries using the ADM0, ADM1, and ADM2_PCODE fields.
Updated
17 May 2022
| Dataset date: January 01, 2020-May 25, 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.
Updated
16 May 2022
| Dataset date: May 16, 2022-May 25, 2022
This dataset updates: Every year
Guatemala administrative level 0-2 projected 2022 age and sex disaggregated population statistics
REFERENCE YEAR: 2022
Please see caveat about administrative level 2.
These tables are suitable for database or GIS linkage to the Guatemala - Subnational Administrative Boundaries layers using the ADM0, ADM1, and ADM2-PCODE fields.
Updated
16 May 2022
| Dataset date: February 24, 2022-May 12, 2022
This dataset updates: As needed
These datasets contain information on violent and threatening incidents affecting aid operations, education, healthcare, refugees and IDPs in Ukraine to ensure staff safety and better response outcomes. Data containing details on locations of security incidents and, in particular, attacks on health facilities is available on request here.
Updated
16 May 2022
| Dataset date: January 01, 2019-April 30, 2022
This dataset updates: As needed
This dataset includes incidents affecting the affecting the protection of IDPs and refugees. The data contains incidents identified in open sources. Categorized by country and with links to relevant Monthly News Brief.
Updated
16 May 2022
| Dataset date: March 15, 2022-May 25, 2022
This dataset updates: Every month
The Risk List enumerates the risks ACAPS analysts have identified. ACAPS analysts conduct daily monitoring and independent analysis of more than 150 countries to support evidence-based decision-making in the humanitarian sector. The information comes from publicly available sources and expert opinions.
http://crisisinsight.acaps.org/risklist
Need help navigating the platform? Click here for a 2-minute video tutorial
https://www.youtube.com/watch?v=f161tOOC_Yk&feature=youtu.be
Updated
15 May 2022
| Dataset date: January 01, 2014-May 25, 2022
This dataset updates: Every year
The Cadre Harmonisé (CH) and Integrated Food Security Phase Classification (IPC) are analytical frameworks which synthesize indicators of food and nutrition security outcomes and the inference of contributing factors into scales and figures representing the nature and severity of crisis and implications for strategic response in food security and nutrition.
(Refer to the documents linked as showcases for more information).
