27 December 2018
| Dataset date: December 27, 2018-December 27, 2018
Data contains Syria IDP arrival estimations and spontaneous IDP returns for November 2018, January 2016-November 2018 summary and table shows origin to destination estimation by governorate for November 2018.
28 January 2019
| Dataset date: January 01, 2018-December 31, 2018
Newly displaced population due to conflict between 01 January 2018 and 31 December 2018, compiled by OCHA sub offices based on inter-agency assessment results. This data is a snapshot as of 28 January 2019 and the numbers are expected to change as new assessment figures become available.
12 February 2019
| Dataset date: February 06, 2019-February 06, 2019
Since August 2017, an estimated 728,306 Rohingya refugees have arrived in Bangladesh’s Cox’s Bazar District from Myanmar, bringing the total number of Rohingya refugees residing in Bangladesh to approximately 895,631. The rapid and massive increase of the refugee population, concentrated in the south of the district in Ukhia and Teknaf, has had an enormous impact on Bangladeshi host communities’ food security, economic vulnerability, market access, labour opportunities and environment. At the same time, the crisis has generated some positive impacts in terms of new labour and livelihood opportunities provided by the presence of a rapidly expanding humanitarian sector, and increased demand for goods and services by Rohingya themselves.
The majority of available data on the host community populations of Ukhia and Teknaf pre-dates the current influx of refugees. While a number of post-influx assessments have included host community populations, the information they provide has significant limitations in terms of being able to serve as the basis for strategic prioritisation and decision-making.
The assessment aims to identify the severity and geographical spread of acute needs within the host community population. Its primary audience is ISCG, sectors, sector partners, and humanitarian donors. In this respect, the long-term development needs of the population that are more likely to be met by government or development agency intervention are not the core focus of this assessment. Similarly, this assessment is not designed to assess the impact of the August 2016 refugee influx on the host community (though may serve as a point of triangulation for actors wishing to do so).
18 February 2019
| Dataset date: February 18, 2019-February 18, 2019
FTS publishes data on humanitarian funding flows as reported by donors and recipient organizations. It presents all humanitarian funding to a country and funding that is specifically reported or that can be specifically mapped against funding requirements stated in humanitarian response plans. The data comes from OCHA's Financial Tracking Service, is encoded as utf-8 and the second row of the CSV contains HXL tags.
22 February 2019
| Dataset date: December 31, 2018-December 31, 2018
This data has been produced by the United Nations Office for the Coordination of Humanitarian Affairs (UNOCHA) on behalf of the Humanitarian Country Team and partners. The data 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. It represents a consolidated evidence base and helps inform joint strategic response planning
8 March 2019
| Dataset date: August 12, 2018-August 12, 2018
The Teacher Development Programme (TDP) is a six-year (2013-2019) programme funded by the UK Department for International Development. It seeks to improve the quality of teaching in primary schools, junior secondary schools, and colleges of education at the state level in northern Nigeria. It works through in-service training for primary teachers, reform of pre-service teacher education, and strengthening evidence-based research on teaching.
Oxford Policy Management has conducted an independent impact evaluation of TDP. This evaluation focuses on the first of these three outputs: in-service training and support for primary teachers in the three core curriculum subjects of English, mathematics, and science. The programme initially operated in three states, Jigawa, Katsina, and Zamfara, and was later extended to Kaduna and Kano. This survey covers a group of schools that were randomly assigned to receive the TDP intervention in Jigawa, Katsina, and Zamfara, and a control group of schools in the same states that did not receive the TDP intervention.
The impact evaluation is a theory-based, mixed-methods design. At the core is a constrained randomised design, with half of the sample schools assigned to receive the TDP intervention, while the other half was assigned to the control group. The main source of quantitative data is the sample panel survey of 330 schools in Jigawa, Katsina, and Zamfara conducted in 2014 and 2017. At each sample school, the head teacher and a sample of teachers and pupils were interviewed and tested on their subject knowledge in English, mathematics, and science; lesson observations were conducted; a teacher roster was compiled; and classroom attendance by teachers and pupils was measured.
The data from the endline survey are from the TDP IE quantitative endline survey conducted in 2017. For the qualitative research findings and methods see the final endline report provided below.
8 March 2019
| Dataset date: January 30, 2019-January 30, 2019
This dataset is produced by the United Nations for the Coordination of Humanitarian Affairs (OCHA) in collaboration with humanitarian partners in Haiti. It contains the estimation of people aggregated per geographic locations, sex and age who have been targeted for urgent humanitarian response in Haiti
14 March 2019
| Dataset date: March 01, 2019-March 01, 2019
A spreadsheet of responses recorded by three focus groups reviewing access constraints in Mali. The data has been collected during six regional workshops. The data was collected between December 2018 and February 2019.
20 March 2019
| Dataset date: January 01, 2018-June 30, 2018
This dataset contains 9 data tables on global trends in forced displacement during the first half of 2018. The data provide stocks and flows on refugees, asylum-seekers, internally displaced persons (IDPs), returnees (refugees and IDPs), stateless persons, and other persons of concern to UNHCR. The data are presented at the national level.
25 March 2019
| Dataset date: December 31, 2017-December 31, 2017
With its SALW guide, BICC provides a non-specialist, user-friendly and multi-language platform to inform about different categories and types of small arms and light weapons, their whereabouts in the world, and where possible, by whom they are held. It is designed to build knowledge on how to recognize different types, makes and models of commonly used SALW; to collect data on the global and country-specific spread of these SALW; and to describe some of their visual and technical specifications. The guide is not an exhaustive list of all SALW that are used around the world.
Global SALW control relies on, among other things, data and knowledge of the weapons themselves. Our aim is that the Guide will be used to support national reporting duties on SALW holdings; facilitate and ameliorate the collection of data on SALW; and increase general knowledge of global distribution of SALW. Thus, the guide addresses researchers, journalists, photographers as well as civil servants, officials and policymakers dealing with the aforementioned challenges of SALW control.
The underlying database of the SALW guide can be queried by either a geographical or weapon specific search term. In total, the guide contains visual images, markings and descriptions on 131 types of small arms or light weapons worldwide. The main source of the guide, the Small Arms and Light Weapons Guide (2016) by the German Bundeswehr Verification Center (BWVc), has been validated by various institutions and databases. See project website for more information
11 September 2019
| Dataset date: September 28, 2017-September 28, 2017
Hurricane Maria has affected the island of Puerto Rico, a US territory. Standby Task Force has been activated by the US Federal Emergency Management Agency (FEMA) to collect information on hospitals and medical facilities. Here are the collected data on the status of each facility.
10 March 2017
| Dataset date: September 01, 2016-September 01, 2016
This dataset is produced by the United Nations for the Coordination of Humanitarian Affairs (OCHA) in collaboration with humanitarian partners. It covers the period from January to December 2017 and was issued on December 2016.
16 April 2019
| Dataset date: March 21, 2019-March 21, 2019
This dataset includes 700 completed interviews from Mozambique following Cyclone Idai, including respondents from Sofala province and Beira. All respondents were affected by the cyclone, and data includes information on home and community damages, food security, and access to resources including clean water and electricity. Data was collected via remote SMS survey March 21st, 2019 - March 22nd 2019 and is not nationally or regionally representative but is intended to show a snapshot of the cyclone's impact on the ground. Statistical disclosure control methods have been applied to the data in order to protect individual respondents information.
16 April 2019
| Dataset date: March 01, 2017-October 31, 2018
Datos sociodemográficos de las atenciones realizadas durante marzo de 2017 y octubre de 2018; consulta externa y número de atenciones realizadas con su respectivo diagnóstico de la población migrante, servicios de hospitalización, urgencias, procedimientos, nacidos vivos y enfermedades de alto costo.
25 April 2019
| Dataset date: January 01, 2015-January 01, 2015
These data summarize the latest available WorldPop gridded population datasets into the administrative units of the common operational dataset (COD). Note that these data should not be considered the COD datasets for population unless endorsed by the humanitarian community in country, but rather as a starting point if no COD dataset is available, or as a point of comparison with other population datasets. These data are provided as a prototype and feedback is welcome at firstname.lastname@example.org
26 April 2019
| Dataset date: April 23, 2019-April 23, 2019
Just over a month after the tropical cyclone IDAI-19 a new tropical storm is heading toward Comoros, Tanzania and the north of Mozambique called 'twentyfour-19'. The category 2 tropical storm is expected to make landfall between the 27th and the 28th of April 2018 south of Mocimboa da Praia town located in the province of Cabo Delgado in the extreme northern part of Mozambique. Based on data of the expected tropical cyclone path Twentyfour-19, wind speeds zones from Joint Research Centre (Issued on 23 April 2019 06:00 UTC), and population data from WorldPop 2015, UNITAR-UNOSAT conducted a population exposure analysis for Mozambique. About 750,000 people in Mozambique, mainly in Cabo Delgado province are living inside the wind speed zones of 120 km/h, 90 km/h and 60 km/h accordingly.
Cyclone track: Joint Research Centre (JRC) as of 23/04/2019
Wind speed zones: Joint Research Centre (JRC) as of 23/04/2019, 06:00 UTC
Administrative Levels: OCHA ROSEA
Spatial Demographic Data: WorldPop (2015), 100m spatial resolution
Analysis: UNITAR-UNOSAT (23/04/2019)