10 September 2019
| Dataset date: February 04, 2018-March 02, 2018
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.
26 June 2019
| Dataset date: June 30, 2018-July 21, 2018
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/
25 April 2019
| Dataset date: January 01, 2015-December 31, 2018
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.
29 August 2017
| Dataset date: January 29, 2016-August 04, 2016
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).