Updated
26 May 2021
| Dataset date: May 14, 2020-July 07, 2020
This dataset updates: Never
This dataset contains information from five waves of the COVID-19 RRPS, which is a bi-monthly panel survey that targets Kenyan nationals and refugees and started in May 2020. The same households are interviewed every two months, with interviews conducted using Computer Assisted Telephone Interviewing (CATI) techniques. Sampled households that were not reached in earlier waves were also contacted along with households that were interviewed before. The “wave” variable represents in which wave the households were interviewed in.
All waves of this survey include information on household background, service access, employment, food security, income loss, transfers, health, and COVID-19 knowledge.
The data set contains three files. The first is the hh file, which contains household level information. The ‘hhid’, uniquely identifies all household. The second is the adult level file, which contains data at the level of adult household members. Each adult in a household is uniquely identified by the ‘adult_ID’. The third file is child level file, which contain information for every child in the household. Each child in a household is uniquely identified by the ‘child_id’.
The duration of data collection for each wave was:
Wave 1: May 14 to July 7, 2020
Wave 2: July 16 to September 18, 2020
Wave 3: September 18 to November 28, 2020
Wave 4: January 15 to March 25, 2021
Wave 5: March 29 to June 13, 2021
The participants of this phone interview were identified using mixed methods. Stratified random sampling were adopted for Persons of Concern (POC) to UNHCR based in Kakuma, Kalobeyei, Dadaab and Urban areas. While a census were used for all PoCs who were 18+ years amongst the Shona community; this cohort forms 48.6% of the enumerated population of the Shona people. The survey was conducted at two levels; household and individual.
Updated
26 May 2021
| Dataset date: July 16, 2020-September 18, 2020
This dataset updates: Never
The participants of this phone interview were identified using mixed methods. Stratified random sampling were adopted for PoCs based in Kakuma, Kalobeyei, Dadaab and Urban areas. While a census were used for all PoCs who were 18+ years amongst the Shona community; this cohort forms 48.6% of the enumerated population of the Shona people. The survey was conducted at two levels; household and individual. For the second wave, 4390 individuals were included belonging to 1735 households.
Updated
7 February 2021
| Dataset date: September 05, 2020-September 10, 2020
This dataset updates: Never
The Rohingya population settled in 34 camps in Cox's Bazar district numbers around 860,000 individuals.1 On March 23, 2020, Cox's Bazar saw the first case of COVID-19 in the host community. The first case of COVID19 in the Rohingya population was confirmed on 14 May 2020. 2 At the time of this survey (September 5th - 10th 2020), there were 138 confirmed cases of, and 8 confirmed deaths from COVID19 in the Rohingya camps.3
Community engagement around prevention of COVID19 has been a core activity of the health sector since March and is supported by many other sectors. Activities are carried out by volunteers through door-door messaging and the use of multimedia approaches, key messages were developed by the risk communication group including the need for physical distancing, mask wearing, recognising symptoms and testing and treatment.
The assessment was designed to assess the effectiveness of the intense community engagement that has been done among the Rohingya population;whether people were absorbing and developing good knowledge from the communication and informationoutreach, and whether they were responding (through behaviour change) to the information they were receiving.
Updated
7 February 2021
| Dataset date: April 17, 2020-May 21, 2020
This dataset updates: Never
The Monitoring of the Effects of the Economic Deterioration on Refugee Households dataset is a Phone survey of Syrian and non-Syrian households to monitor the changes over time in key areas in the context of the deteriorating economic situation in Lebanon.The UNHCR call center was used to conduct the two waves of data collection: 20-28 February (Wave I) and 17 April-15 May (Wave II). Several call attempts were made at different times of the day to reach the largest possible number of households.
After the Wave I of the survey, which was collected before the first case of Covid 19 was reported in Lebanon, the Wave II was conducted to account for the impacts of the spread of the Covid 19 virus on refugees, the level of awarness among them and their accessibility to hygiene items and health care services. This dataset includes only the non-Syrian refugees cases.
Updated
26 May 2021
| Dataset date: May 14, 2020-July 17, 2020
This dataset updates: Never
The participants of this phone interview were identified using mixed methods. Stratified random sampling were adopted for PoCs based in Kakuma, Kalobeyei, Dadaab and Urban areas. While a census were used for all PoCs who were 18+ years amongst the Shona community; this cohort forms 48.6% of the enumerated population of the Shona people. The survey was conducted at two levels; household and individual. 1,332 households were reached. The survey consent rate was 51 percent. From these households, 3,529 individuals were selected and interviewed.
Updated
19 February 2021
| Dataset date: June 30, 2020-September 23, 2021
This dataset updates: Every year
Registry of Russian social-oriented non profit organizations recognized by the government as affected by COVID-19 and that receive government support. The Ministry of Economic Development of Russia published the register of non profit non government organizations (NGOs) that will be provided with additional measures of support.
Dataset columns: name of organization, OGRN, INN, Responsible government agency, Status, Orgform.
The dataset contains information about 11 208 NGOs of 85 Russian regions.
Updated
22 July 2020
| Dataset date: June 11, 2020-July 06, 2020
This dataset updates: As needed
This data looks at the impact of COVID-19 on employment, income, ability to pay expenses, and more in Côte D'Ivoire, Kenya, Mozambique Nigeria, and South Africa. Data is nationally representative by age, gender, and location, and is broken down by job type and formal or informal workers. Please contact us for data broken down by province or more information on the methodology.
