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  • 90+ Downloads
    Updated 6 March 2021 | Dataset date: January 01, 2020-December 31, 2020
    This dataset updates: Never
    UNICEF Eastern and Southern Africa Risks and Hazards- situation and response
  • 2600+ Downloads
    Updated 5 March 2021 | Dataset date: December 10, 2019-December 10, 2019
    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
  • Updated 21 February 2021 | Dataset date: January 01, 2017-December 31, 2017
    This dataset updates: Never
    At the end of 2015, Herat Province was among the highest IDP hosting provinces in Afghanistan, accounting for approximately 10% of the country's IDP population. In order to obtain reliable information on the socio-economic conditions of IDPs and returnees in Herat Province, a comprehensive sample survey was carried out among 11,264 households in the 5 most populated IDP/returnee settlements (Shagofan, Jebraiel, Maslakh, Now Abad and Kahdistan) in 2017.
  • Updated 21 February 2021 | Dataset date: May 11, 2017-May 29, 2017
    This dataset updates: Never
    Afghanistan hosts a protracted population of Pakistani refugees, who fled North Waziristan Agency in 2014 as a result of a joint military offensive by Pakistani government forces against non-state armed groups. As of May 2017, UNHCR has biometrically registered over 50,000 refugees in Khost province and 36,000 refugees in Paktika province, where access remains a challenge. Over 16,000 of these refugees receive shelter and essential services in the Gulan camp in Khost province, while most of the others live among the host population in various urban and rural locations. To better understand the needs of the refugees and the host communities, UNHCR and WFP agreed to conduct a joint assessment of Pakistani refugees in Khost and Paktika. The data collection commenced in May 2017 and covered 2,638 refugee households (2,198 in Khost and 440 in Paktika).
  • 100+ Downloads
    Updated 20 February 2021 | Dataset date: June 01, 2020-March 09, 2021
    This dataset updates: Every month
    This study includes information on the population of all cities and towns outside the control of the Regime in Syria. The study is updated monthly, in that IMU enumerators of ACU track the population in all areas outside the control of the regime, along with movements of displacement and return on a permanent basis. This study also presents the total number of population and gender ratio, the total number of IDPs and the types of shelters in which they are settled, the number of newly displaced people during the last month and the types of shelters in which they are settled, the number of those who left and the reasons that forced them to leave their home towns, the number of returnees during the last month with their most critical needs. The Study presents information on the situation of the local councils in areas to which the residents returned during the past month, availability of basic services in areas of return, evaluation of these services, decision-makers and primary service providers, and sources of income for returnees. The study data can be shown at different levels through the filter bar at the top of the page; it is also possible to display the graphic figures at three levels (district - sub-district - community) through the buttons at the bottom of the figures. Maps can be shown at two levels (district - sub-district) through the two buttons at the bottom of the map. Data can be downloaded from the last page of the study. For more details, please contact us through IMU email address: imu@acu-sy.org
  • Updated 13 February 2021 | Dataset date: November 16, 2020-March 09, 2021
    This data is by request only
    Contains data crowdsourced from Venezuelans through the Premise Data mobile application. The survey is presented only once to users that were identified to have moved in the past year and aims to capture principal motivations for the relocation. The booklet included HERE provides more details on how Premise's data crowdsourcing works.
  • Updated 7 February 2021 | Dataset date: November 08, 2015-December 04, 2015
    This dataset updates: Never
    Kakuma Refugee Camp is one of the longest-standing humanitarian settlements in sub-Saharan Africa and one of the largest refugee camps in the world. In response to recent reductions in funding for the Kenyan refugee operation, increased global competition for funds, and a common belief that not all refugees in such protracted situations have the same humanitarian assistance needs, UNHCR and WFP decided to undertake a study among refugees in Kakuma Camp. The main aims were to fill knowledge gaps regarding refugee livelihoods and the level and differences of vulnerability in refugee households, as well as to explore the feasibility of delivering more differentiated assistance and to identify the mechanisms that would need to be put in place to do so. Specifically, the study was meant to determine whether a permanent targeting mechanism could be put in place or whether other ways of prioritising assistance exist when resources are tight. The survey covered 2,000 households and was implemented in November/December 2015.
  • Updated 7 February 2021 | Dataset date: April 22, 2016-May 15, 2016
    This dataset updates: Never
    As a consequence of the armed conflict in the Gao, Kidal and Timbuktu regions of Mali, an estimated 32,000 Malian refugees have settled in Burkina Faso. Since 2012, UNHCR has been providing protection and assistance to these Malian refugees through multisectoral interventions. In order to assess the levels of vulnerability among these refugees and to identify potential opportunities for increasing their resilience, a quantitative survey was conducted among 6,775 Malian refugee households during April/May 2016.
  • Updated 7 February 2021 | Dataset date: November 19, 2016-November 30, 2016
    This dataset updates: Never
    Due to persistent instability in the region, Cameroon hosts refugees and asylum seekers from neighboring countries, mainly from the Central African Republic and Nigeria. In 2015, nearly 259,000 Central African refugees arrived in Cameroon, of whom the vast majority settled in the Northern, Eastern and Adamaoua regions. Within these regions, the study identified 11 subsistence zones, of which the 5 zones with the highest refugee concentration were surveyed, in order to inform UNHCR's Livelihoods Strategy 2017-2020 targeting these refugees and to provide a baseline against which to measure the success of its implementation. The survey was conducted among 2,206 refugee households in November 2016.
  • Updated 7 February 2021 | Dataset date: January 01, 2017-December 31, 2017
    This dataset updates: Never
    At the end of 2015, Herat Province was among the highest IDP hosting provinces in Afghanistan, accounting for approximately 10% of the country's IDP population. In order to obtain reliable information on the socio-economic conditions of IDPs and returnees in Herat Province, a comprehensive sample survey was carried out among 11,264 households in the 5 most populated IDP/returnee settlements (Shagofan, Jebraiel, Maslakh, Now Abad and Kahdistan) in 2017.
  • Updated 7 February 2021 | Dataset date: March 06, 2017-March 29, 2017
    This dataset updates: Never
    This survey was conducted to help UNHCR's Malawi office in its multi-year, multi-partnership planning and programming. The main objective was to provide an overview of the livelihood and vulnerability situation of refugees and host families in Malawi. The survey covered Dzaleka and Luwani refugee camps as well as households living in villages surrounding the two camps. Dzaleka camp is well established and has been in existence since 1994 and hosts households from a number of neighboring countries, including Democratic Republic of Congo, Rwanda, Burundi and others. Luwani camp is relatively new and much smaller camp that hosts exclusively Mozambican asylum seekers whose status was not yet determined at the time of the survey. The survey covered 1,026 refugee households (802 in Dzaleka and 224 in Luwani) during March 2017.
  • Updated 7 February 2021 | Dataset date: May 05, 2016-May 25, 2016
    This dataset updates: Never
    There is a growing interest in the consequences of hosting refugees for local populations. Such consequences need not to be unfavorable and in many instances the presence of refugees results in direct and indirect benefits for host communities. This survey was conducted to examine the influence of Congolese refugees on host communities in Rwanda, with a focus on labor market activity and economic welfare. The survey covered three refugee camps as well as their surrounding host communities. Data was collected in May 2016 and covers 427 refugee households and 953 host households.
  • Updated 7 February 2021 | Dataset date: May 11, 2017-May 29, 2017
    This dataset updates: Never
    Afghanistan hosts a protracted population of Pakistani refugees, who fled North Waziristan Agency in 2014 as a result of a joint military offensive by Pakistani government forces against non-state armed groups. As of May 2017, UNHCR has biometrically registered over 50,000 refugees in Khost province and 36,000 refugees in Paktika province, where access remains a challenge. Over 16,000 of these refugees receive shelter and essential services in the Gulan camp in Khost province, while most of the others live among the host population in various urban and rural locations. To better understand the needs of the refugees and the host communities, UNHCR and WFP agreed to conduct a joint assessment of Pakistani refugees in Khost and Paktika. The data collection commenced in May 2017 and covered 2,638 refugee households (2,198 in Khost and 440 in Paktika).
  • Updated 7 February 2021 | Dataset date: October 23, 2017-October 27, 2017
    This dataset updates: Never
    This assessment was carried out in Zimbabwe's Tongogara Refugee Camp. Its aim was to help UNHCR better understand refugees' and asylum seekers' living conditions and needs, which in turn will inform priority setting, programming and advocacy. The assessment was underpinned by the objectives of the "Graduation Approach" which targets support to the ultra-poor amongst the refugee population. A quantitative survey was conducted among 386 households during October 2017.
  • Updated 7 February 2021 | Dataset date: November 19, 2016-November 30, 2016
    This dataset updates: Never
    Due to persistent instability in the region, Cameroon hosts refugees and asylum seekers from neighboring countries, mainly from the Central African Republic and Nigeria. In 2015, nearly 259,000 Central African refugees arrived in Cameroon, of whom the vast majority settled in the Northern, Eastern and Adamaoua regions. Within these regions, the study identified 11 subsistence zones, of which the 5 zones with the highest refugee concentration were surveyed, in order to inform UNHCR's Livelihoods Strategy 2017-2020 targeting these refugees and to provide a baseline against which to measure the success of its implementation. The survey was conducted among 2,206 refugee households in November 2016. The household data is supplemented with UNHCRs progress data for the purpose of refining the targeting approach of both WFP and UNHCR.
  • Updated 7 February 2021 | Dataset date: November 22, 2018-January 17, 2019
    This dataset updates: Never
    Since 1992, Kenya has been a generous host of refugees and asylum seekers, a population which today exceeds 470,000 people. The Kakuma Refugee Camps have long been among the largest hosting sites, and have become even larger in recent years, with an estimated 67 percent of the current refugee population arriving in the past five years. In 2015, UNHCR, the Government of Kenya, and partners established Kalobeyei Settlement, located 40 kilometers north of Kakuma, to reduce the population burden on the other camps and facilitate a shift towards an area-based development model that addresses the longer term prospects of both refugees and the host community. The refugee population makes up a significant share of the local population (an estimated 40 percent at the district level) and economy, engendering both positive and negative impacts on local Kenyans. While Kenya has emerged as a leader in measuring the impacts of forced displacement, refugees are not systematically included in the national household surveys that serve as the primary tools for measuring and monitoring poverty, labor markets and other welfare indicators at a country-wide level. As a result, comparison of poverty and vulnerability between refugees, host communities and nationals remains difficult. Initiated jointly by UNHCR and the World Bank, this survey was designed to address these shortcomings and support the settlement's development framework, as well as the wider global vision laid out by the Global Refugee Compact and the Sustainable Development Goals. Data were collected in November 2018 to January 2019, covering about 6004 households.
  • 5400+ Downloads
    Updated 1 February 2021 | Dataset date: September 21, 2020-October 10, 2020
    This dataset updates: Every six months
    DTM location assessment is to collect data on population presence in defined locations identified through the baseline area assessment. The assessment identifies where people are living and informs targets sites for more detailed site assessments.
  • 9900+ Downloads
    Updated 1 February 2021 | Dataset date: September 21, 2020-October 10, 2020
    This dataset updates: Every six months
    In response to the need for accurate information on internally displaced persons (IDPs) in Nigeria, the International Organization for Migration (IOM) began implementing the Displacement Tracking Matrix (DTM) project in July 2014. The project is supporting the Government of Nigeria and other humanitarian response partners to conduct IDPs assessments in a systematic way as well as to establish a profile of the IDP population.
  • 12000+ Downloads
    Updated 1 February 2021 | Dataset date: September 21, 2020-October 10, 2020
    This dataset updates: Every six months
    Data set has IDPs, Households, geographic locations and reasons of displacement etc. In response to the need for accurate information on internally displaced persons (IDPs) in Nigeria, the International Organization for Migration (IOM) began implementing the Displacement Tracking Matrix (DTM) project in July 2014. The project is supporting the Government of Nigeria and other humanitarian response partners to conduct IDPs assessments in a systematic way as well as to establish a profile of the IDP population.
  • 6400+ Downloads
    Updated 28 January 2021 | Dataset date: November 03, 2020-November 24, 2020
    This dataset updates: Every three months
    The dataset contains IDPs individual and households at admin2 level. IOM has been developing a Displacement Tracking Matrix (DTM) since May 2015 aimed at effectively monitoring and evaluating the flows of Burundian IDPs and providing accurate information on the current IDP situation. The DTM in Burundi has been successfully used in 2014, upon the request of the humanitarian community and the GoB when some areas of Bujumbura were flooded, which caused displacement. This tool allowed registering IDPs in four IDP sites and in host families in four locations and identifying their humanitarian needs.
  • 400+ Downloads
    Updated 28 January 2021 | Dataset date: December 01, 2020-December 31, 2020
    This dataset updates: Every three months
    IOM DTM’s Flow Monitoring Registry (FMR) surveys people’s movement through key transit points within South Sudan and at its borders.
  • 5200+ Downloads
    Updated 27 January 2021 | Dataset date: November 01, 2020-December 31, 2020
    This dataset updates: Every three months
    The dataset has return location of IDPs & families. Last displacement at Governorates (admin1) level, shelter type and period of last displacement.
  • 13000+ Downloads
    Updated 27 January 2021 | Dataset date: November 01, 2020-December 31, 2020
    This dataset updates: Every three months
    The dataset has displaced location of IDPs & households. Last displacement at Governorates (admin1) level, shelter type and period of last displacement.
  • 500+ Downloads
    Updated 26 January 2021 | Dataset date: January 16, 2020-January 16, 2020
    This dataset updates: Every year
    The dataset contains number of IDPs, Returnees and host communities and their needs at sub national level.
  • 1300+ Downloads
    Updated 26 January 2021 | Dataset date: July 01, 2020-September 30, 2020
    This dataset updates: Every six months
    This dataset contains IDPs, Returnees at sub admin level.