The High Frequency South Sudan Survey (HFS) was conducted by the World Bank between August 2012 and September 2014. The HFS collected a panel data set to monitor the welfare and perceptions of citizens in four of South Sudan's state capitals. The survey aimed to provide the Government of South Sudan with high frequency, high quality data on social, economic and security conditions in the country.The survey used tablet computers to collect real-time data on market prices, exchange rates and household welfare in the major towns of South Sudan. This dataset contains information from all six rounds of the survey
Kind of data
Sample survey data [ssd]
Coverage
Geographic coverage
Juba, Wau, Rumbek and Malakal
Unit of analysis
Households
Producers and sponsors
Authoring entity
Name
The World Bank
Sampling
Sampling procedure
The survey conducted 2,018 interviews (328 in round 1 , 364 in round 2, 359 in round 3, 361 in round 4, 360 in round 5, and 246 in round 6 - excluding Malakal). The sample was drawn randomly based on a multi-level clustered design, i.e. two-level cluster design stratified by city.
Deviations from sample design
Malakal could not be visited in the last round due to the ongoing conflict.
Data Collection
Dates of collection
Start
End
2012-08
2014-09
Mode of data collection
Computer Assisted Personal Interview [capi]
Questionnaires
The selection of questions was modified with every new round. This List of Variables by Survey Round document, provided as under the Related Materials/Other Materials tab provides information on the questions included in each survey round.
Before being granted access to the dataset, all users have to formally agree:
1. To make no copies of any files or portions of files to which s/he is granted access except those authorized by the data depositor.
2. Not to use any technique in an attempt to learn the identity of any person, establishment, or sampling unit not identified on public use data files.
3. To hold in strictest confidence the identification of any establishment or individual that may be inadvertently revealed in any documents or discussion, or analysis. Such inadvertent identification revealed in her/his analysis will be immediately brought to the attention of the data depositor.
Access conditions
The dataset has been anonymized and is available as a Public Use Dataset. It is accessible to all for statistical and research purposes only, under the following terms and conditions:
1. The data and other materials will not be redistributed or sold to other individuals, institutions, or organizations without the written agreement of the World Bank Microdata Library.
2. The data will be used for statistical and scientific research purposes only. They will be used solely for reporting of aggregated information, and not for investigation of specific individuals or organizations.
3. No attempt will be made to re-identify respondents, and no use will be made of the identity of any person or establishment discovered inadvertently. Any such discovery would immediately be reported to the World Bank Microdata Library.
4. No attempt will be made to produce links among datasets provided by the World Bank Microdata Library, or among data from the World Bank Microdata Library and other datasets that could identify individuals or organizations.
5. Any books, articles, conference papers, theses, dissertations, reports, or other publications that employ data obtained from the World Bank Microdata Library will cite the source of data in accordance with the Citation Requirement provided with each dataset.
Citation requirements
Use of the dataset must be acknowledged using a citation which would include:
- the Identification of the Primary Investigator
- the title of the survey (including country, acronym and year of implementation)
- the survey reference number
- the source and date of download
Disclaimer and copyrights
Disclaimer
The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses.