Results Monitoring Survey, 2022
South Africa, 2022
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ZAF_2022_RMS_v01_M
Results Monitoring Survey, 2022
| Name | Country code |
|---|---|
| South Africa | ZAF |
Other Household Survey [hh/oth]
The RMS can be implemented in any operational context. A standard structured questionnaire has been developed for the RMS, which can be conducted as a stand-alone survey or flexibly integrated with other data collection exercises. The data includes indicators collected at both the household and individual (household-member) level, and results are statistically representative.
This RMS took place in South Africa between April and June 2022. The population of interest included all PoCs to UNHCR in South Africa, and the sample frame was taken from UNHCR's registration datasase (ProGres). Data subjects were intereviewed over the phone. This dataset is the anonymous version of the original data.
Sample survey data [ssd]
Individuals and Households
Version
v2.1: Edited, cleaned and anonymised data.
2022-11-01
Scope
The scope includes:
- education
- healthcare
- livelihoods
- protection concerns
- shelter
- water and sanitation
| Topic |
|---|
| Education |
| Health |
| Livelihood and Social cohesion |
| Protection |
| Shelter/Other Infrastructure |
| Water Sanitation Hygiene |
Coverage
South Africa
Persons of concerns (PoCs) to UNHCR in South Africa.
Producers and sponsors
| Name |
|---|
| UNHCR |
Sampling
UNHCR's registration database (ProGres) was used as a sample frame to identify households of interest. Households were stratified by registration group and sex of head of household. A total of 1,050 households were contacted for an interview via telephone. Enumerators were able to secure 388 interviews, of which 385 were completed. Non-response was due to three main factors: inability to reach the respondent with the phone number provided (about 50%), no answer (about 30%) and households reached were not persons of concern to UNHCR, most likely the wrong number (about 6%).
Due to the response rate, weights needed to be introduced ex-post. Weights were calculated at the household-level according to two variables: country of origin and sex of the head of household. UNHCR’s registration database (ProGres) was used to provide the sample frame size (N). Normalized weights were produced using the following formula: weight = N/sum(N) / n/sum(n). The weight variable is hh_weight.
Data collection
| Start | End |
|---|---|
| 2022-04-12 | 2022-06-10 |
- Computer Assisted Telephone Interview [cati]
| Name |
|---|
| UNHCR |
Access policy
United Nations Refugee Agency Microdata Library
https://microdata.unhcr.org/index.php/catalog/781
Original Archive Study ID: UNHCR_ZAF_2022_RMS_v2.1
Cost: None
Data Access
UNHCR (2022). South Africa: Results Monitoring Survey - 2022. Accessed from: https://microdata.unhcr.org
Contacts
| Name | Affiliation | |
|---|---|---|
| UNHCR Global Data Service Statistics and Demographics Section | UNHCR | microdata@unhcr.org |
Metadata production
DDI_ZAF_2022_RMS_v01_M
| Name | Affiliation | Role |
|---|---|---|
| UNHCR | ||
| Development Data Group | World Bank | Metadata adapted for World Bank Microdata Library |
2022-10-26
Metadata version
Version 1 (December 2022). This version is identical to UNHCR DDI ID: UNHCR_ZAF_2022_RMS_v2.1, except the following edits were made:
-Document ID and Survey ID,
- Minor formatting corrections
- Specified the archive where study is originally stored