Updated January 3, 2020
| Dataset date: Jun 1, 2017-Feb 1, 2019
This dataset updates: Every month
This dashboard highlights the living situation in Syria by showing the prices of basic market items.
How to use this product:
The first three pages track price change chronologically on governorate level, with ability to compare between them by choosing one or more.
The subsequent pages show the prices of market items on the governorate and sub-district level with an item availability heat map of any selected item on any selected level and period. You can select one of the listed items in one sub-district or more. When you choose a governorate its subdistrict(s) will be highlighted according to the availability of the selected item in the selected governorate(s).
Updated December 18, 2019
| Dataset date: Jan 1, 2017
This data is by request only
The UNHCR Livelihoods Monitoring Framework is designed to promote a standardized approach to tracking program performance and impact across countries. The data and the key analysis is available for UNHCR - and externally - financed programs across three primary focus areas – agriculture, self-employment and wage-employment – in terms of assets, employment, market access and more.
For more data and analysis, visit at:
Integrated Refugee and Forcibly Displaced Livelihoods Information System
Updated October 14, 2019
| Dataset date: May 1, 2016-Oct 31, 2016
This data is by request only
Iraq (South and Central) profiling of urban/out of camp IDPs and host populations with data collected between May and October 2016. The exercise covered 9 Governorates with a total sample of 4,094 households (2,126 IDP households and 1,970 local households).
Updated July 18, 2019
| Dataset date: Jun 30, 2019
This dataset updates: As needed
Using 10m resolution multispectral imagery from the Sentinel-2A satellite, a relativized burn ratio (RBR) was calculated and used for burned land classification to assess and quantify areas which have been burned between 4 May and 30 June 2019 in the governorates of Al-Hasakeh, Deir-ez-Zor, Ar-Raqqa, Aleppo, Idleb and Northern Hama. The before and after images are composites ranging from 6 April to 3 May 2019 and 27 to 30 June 2019.
Updated June 19, 2019
| Dataset date: Apr 30, 2019
This dataset updates: Every month
This dataset contains five CSV files detailing the Food Security and Agricultural Livelihoods response monitoring in the north east Nigeria crisis-affected states of Borno, Adamawa and Yobe. The fifth CSV file consolidates response monitoring in both food assistance and agricultural livelihoods for the months of January through April 2019. These constitute the overall mapping of the food security sector interventions to people affected by the crisis during this period.
Updated June 19, 2019
| Dataset date: Mar 31, 2019
This dataset updates: Every month
This dataset contains a CSV file of the agriculture and livelihoods coverage and gap analysis of targeted agriculture and livelihoods beneficiaries in the three crisis-affected states of Borno, Adamawa and Yobe in north eastern Nigeria during the month of April 2019.
Updated March 12, 2019
| Dataset date: Feb 26, 2019
This dataset updates: As needed
Since the end of January 2019, southern Idleb and northern Hama governorates have seen a significant escalation of conflict. Shelling and airstrikes intensified in the area, leading to a deterioration of the humanitarian situation. In response, REACH conducted a rapid needs assessment to provide actors with an update on the humanitarian situation.
The latest conflict escalation affects an area that is home to an estimated 700,000 residents and internally displaced persons (IDPs), increasing vulnerability, and in some cases, leading to secondary and tertiary displacements. From late 2017, the region has witnessed a large-scale influx of IDPs, following escalations of conflict and displacements from formerly opposition-held areas in south-east Idleb, south-west Aleppo, Rural Damascus, Homs, Hama, Dar’a and Quneitra governorates. The increase in IDP population in Idleb governorate and surrounding areas has led to a growing strain on resources and an increase in inter-communal tensions in the region. Further complicating the situation, there has been increasing concern regarding a potential military offensive in the region since September 2018, with shelling and airstrikes occurring with increased frequency. While the mid-September 2018 announcement of a demilitarised zone put a pause on concerns over an imminent military offensive in the region, clashes have continued unabated.
Data for this assessment was collected from 25-26 February 2019 in 85 opposition-controlled communities in 12 sub-districts via community-level key informant (KI) interviews. KIs were asked to report on the previous week (18 to 25 February). This dataset provides the findings for indicators on demographics, shelter, food, livelihoods, electricity & NFIs, WASH, health, education, protection, reported priority needs, and reported movement intentions.
Updated November 14, 2018
| Dataset date: Sep 3, 2018
This dataset updates: Every year
Prolonged drought conditions have contributed to a rapid deterioration of the humanitarian context in Somalia, since early 2016. Caused by four successive seasons of below average rainfall, drought has resulted in substantial livestock herd depletion and a reduction in cereal production, while cereal prices have risen to well above the average, resulting in reduced household access to food and income.
Additionally, above average rainfall in the first half of 2018 caused severe flooding across parts of South Central Somalia, and coastal areas in Puntland and Somaliland, causing further waves of displacement and destruction of agricultural land. Parallel to these climatic trends, insecurity and the presence of active armed groups continue to limit humanitarian access, most notably in the South Central region of
Somalia. In light of this evolving context, the need for integrated and harmonised information systems to support both immediate and long-term humanitarian response is ever more crucial, particularly through comprehensive assessments and mapping activities.
To address these information needs, United Nations Office for the Coordination of Humanitarian Affairs (OCHA), in partnership with REACH conducted a Joint National Multi-Cluster Needs Assessment (JMCNA) across Somalia.
Households were sampled for statistical representativeness stratified by internally displaced person (IDP) and host community households at the district level, with a 92% confidence level and a 10% margin of error.
More information on the methodology, in the attached methodology note.
Idleb governorate and the surrounding opposition-held areas of western Aleppo and north-western Hama governorates* host one of the largest IDP populations in Syria. Since late 2017, following an escalation of violence in north-western and southern Syria, the region has witnessed the further arrival of a substantial number of IDPs. Large cross-line displacements from Eastern Ghouta, northern Homs and southern Hama, as well as Da'ra and Quneitra governorates, beginning in March 2018, have led to a significant increase of the IDP population in the region and to a growing strain on resources and services in the region. While humanitarian assistance is reaching both IDP and resident populations, major gaps remain. In order to address such gaps, REACH has conducted a needs assessment to inform humanitarian actors of IDP and resident populations' priority needs and to address critical information gaps on the humanitarian conditions of IDPs and residents living in communities in the region. This data set provides the findings from this assessment.
Findings presented in this data set are based on data collected by REACH as part of a needs assessment focused on IDP and resident populations living in communities of Idleb governorate and surrounding areas. Data was collected in 362 communities across 30 sub-districts between 12 and 20 August 2018. Data was collected at the community level, with enumerators interviewing between 2 and 7 key informants (KIs) per community and with KIs selected based on their knowledge of IDP and resident populations in the community and sector-specific expertise. Communities were assessed based on available data on total populations, focusing on those reported to have large IDP and resident populations and those that have received a high number of IDP arrivals in the two months prior to the start of data collection. Collected primary data was further triangulated through available secondary sources.
Updated August 30, 2018
| Dataset date: Dec 1, 2015-Apr 1, 2018
This dataset updates: Every year
Ce fichier présente les résultats des enquêtes réalisées depuis 2016 dans les secteurs de l'éducation, de la protection, de la santé/nutrition, de moyens d'existence. Les regions d'intervention sont Dakar, Thies, Diourbel, Ziguinchor et Kolda.
Updated August 15, 2018
| Dataset date: Jan 1, 2011
This dataset updates: Every year
Economic/livelihood (labour) indicators 2006 - 2012 (Worldbank) on labour, unemployment and economic activities. Data consolidated from data.worldbank.org.
The data set consists of district wise per capita gross national income for 2014. The variable used for per capita gross national income are agriculture and forestry, fishing, mining and quarrying, manufacturing, electricity, gas and water, construction, wholesale and retail trade, hotels and restaurants, transport, storage and communications, financial intermediation, real estate, renting and business activities, public administration and defense, education, health and social work, other community, social and personal services activities, total economy including financial intermediation service indirectly measured (total value added), total economy at basic price (total value added), GDP at market price, factor income, GNI, per capita income ( Rs. at), per capita income ($) and per capita income, PPP ($). The data is extracted from Nepal Human Developement Report (2014) by UNDP (http://www.npc.gov.np/new/uploadedFiles/allFiles/NHDR_Report_2014.pdf).
Updated June 11, 2018
| Dataset date: Jun 11, 2018
This dataset updates: Every three months
Rapid needs assessment conducted across 255 communities in Idleb Governorate and surrounding opposition held areas in north western Hama, and western Aleppo. Dataset includes demographics, IDP movement intentions, and sectoral information for shelter, food security, livelihoods, electricity and NFIs, WASH, Health, Education, and Protection. Data was collected from May 24th to the 31st.
Updated October 6, 2016
| Dataset date: Sep 30, 2016
This dataset updates: Never
This dataset contains the integrated phase classification (IPC) for September 2016, and livelihood zones for Haiti, extracted to each administrative level 3 unit (sections). It also contains the population for each admin 3 unit based on WorldPop (2015 v2b UN adjusted).
Source datasets:
IPC and Livelihoods
Administrative Boundaries (version released 6-Oct-2016)
Updated November 25, 2015
| Dataset date: Aug 17, 2015-Sep 4, 2015
This dataset updates: Never
Following the completion of shelter activities outlined in the Humanitarian Action Plan (HAP) and the beginning of the transition from the emergency phase to longer term preparedness / recovery programming, the Shelter Cluster redeployed the baseline assessment team in August 2015 in order to conduct a detailed evaluation of the shelter response. The overall objective of the evaluation was to inform 1) an evaluation of the effectiveness of the shelter operational response detailed in the humanitarian action plan (2) identify barriers to recovery.
Category Five Tropical Cyclone Pam made landfall in Vanuatu on March 13th 2015, resulting in storm surges and sustained winds of up to 240 km per hour throughout the affected area of the country. REACH, through its global partnership with the Global Shelter Cluster, was deployed to Vanuatu at the end of March 2015 to facilitate the implementation of a shelter and settlements vulnerability assessment designed to inform the medium to long term strategy of the Vanuatu Shelter Cluster. Data collection was conducted between 7 April and 1 May, 2015.
