Updated October 11, 2019
| Dataset date: Dec 31, 2013
This data is by request only
The data files described in this documentation correspond to a household sample survey carried out in three rounds (baseline in 2012, follow up 1 in 2013 and follow up 2 in 2014) with the objective of evaluating the impact of the Uganda Social Assistance Grants for Empowerment (SAGE) programme in 14 pilot districts across the Eastern, Central, Western and Northen districts in Uganda.
Updated September 10, 2019
| Dataset date: Feb 4, 2018-Mar 2, 2018
This data is by request only
This data is the result of interviews conducted with 444 Dominicans impacted by Hurricane Maria. This round of interviews took place between 4 February and 2 March 2018, roughly four and a half months after Hurricane Maria made landfall. This is the third of five rounds of surveys in Dominica.
Updated September 10, 2019
| Dataset date: Aug 1, 2013
This data is by request only
This report summarizes the findings of the 2010 Eritrea Population and Health Survey (EPHS) carried out by the National Statistics Office. Financial support for the survey was provided by the Norwegian Ministry of Foreign Affairs (through NORAD), UNICEF, UNFPA, UNDP, WHO and the Ministry of Health. Fafo AIS and Kenya Medical Research Institute provided technical assistance for the survey. The opinions expressed herein are those of the authors and do not necessarily reflect the views of the funders.
Updated June 26, 2019
| Dataset date: Jun 30, 2018-Jul 21, 2018
This dataset updates: Every year
Data collected in Bangladesh between June-July, 2018. Their analysis contributed to the Xchange Foundation's “The Rohingya Amongst Us”: Bangladeshi Perspectives on the Rohingya Crisis Survey.
The survey sample consisted of 1,697 Bangladeshi adults living in Teknaf (56%) and Ukhia (44%), the two southernmost subdistricts of Cox’s Bazar, and home to the majority of the Rohingya population. The survey was conducted in Bengali with the use of a questionnaire distributed through an online data collection application across more than 71 (up to 97) villages. Respondents were provided with anonymity and verbal consent was ensured before proceeding with each survey. The results of the survey are generalisable to the total adult Bangladeshi population residing in Ukhia and Teknaf upazilas (on a 95% confidence level, the margin of sampling error was 2.37).
To read the full report go to: http://xchange.org/bangladeshi-perspectives-on-the-rohingya-crisis-survey/
Updated May 2, 2019
| Dataset date: Mar 26, 2019-Apr 18, 2019
This dataset updates: Never
Data collected in Bangladesh between March-April, 2019. Their analysis contributed to the Xchange Foundation's “We do not believe Myanmar!”: The Rohingya Survey 2019 (http://xchange.org/reports/TheRohingyaSurvey2019.html)
Updated April 25, 2019
| Dataset date: Jan 1, 2015-Dec 31, 2018
This dataset updates: Every six months
Metadatos sobre la cobertura de diversos servicios en los hogares colombianos según la Gran Encuesta Integrada de Hogares (GEIH) del Departamento Administrativo Nacional de Estadística (DANE).
Las cifras se presentan como tasa de cobertura con respecto a la cantidad de hogares de los departamentos de Colombia.
Updated August 29, 2017
| Dataset date: Jan 29, 2016-Aug 4, 2016
This dataset updates: Never
Within 24 hours of the World Health Organization declaring the Zika virus a global health emergency, RIWI began a study in 9 countries across the Americas capturing over 30,000 respondents. Data collection targeted respondents' knowledge of Zika virus transmission mechanisms and confidence in government health agencies to treat and contain the epidemic. The data was collected using RIWI's patented Random Domain Intercept Technology™ (RDIT).
In 2014, RIWI Corp. launched an online survey in Nigeria, Liberia, and Sierra Leone capturing public perceptions data from over 4,000 respondents on the status of Ebola in those countries. Respondents were asked a series of questions related to their confidence in government and aid agencies to manage the Ebola outbreak, as well as their own behavioral response to the infection. The data was collected using RIWI's patented Random Domain Intercept Technology™ (RDIT).
