High-Frequency Phone Survey on COVID-19 2020-2021 - World Bank LSMS Harmonized Dataset
Uganda, 2019 - 2021
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UGA_2020_HFPS_v01_M_v01_A_COVID
High-Frequency Phone Survey on COVID-19 2020-2021 - World Bank LSMS Harmonized Dataset
| Name | Country code |
|---|---|
| Uganda | UGA |
Other Household Survey [hh/oth]
The LSMS team has extracted and harmonized variables from these surveys, based on the harmonized definitions and ensuring the same variable names. These variables include demography as well as housing, household consumption expenditure, food security, and agriculture. Inevitably, many of the original variables are collected using questions that are asked differently. The harmonized datafiles include the best available variables with harmonized definitions.
Two harmonized datafiles are prepared for each survey. The two datafiles are:
1. HH: This datafile contains household-level variables. The information include basic household characterizes, housing, water and sanitation, asset ownership, consumption expenditure, consumption quintile, food security, livestock ownership. It also contains information on agricultural activities such as crop cultivation, use of organic and inorganic fertilizer, hired labor, use of tractor and crop sales.
2. IND: This datafile contains individual-level variables. It includes basic characteristics of individuals such as age, sex, marital status, disability status, literacy, education and work.
Sample survey data [ssd]
- Households
- Individuals
Version
The World Bank LSMS Harmonized datasets includes harmonized variables, produced by the Living Standards Measurement Study team of the World Bank.
Version 01: Includes variables from Uganda - National Panel Survey 2019-2020 and Uganda - High-Frequency Phone Survey on COVID-19 2020-2021, Rounds 1 to 6.
Scope
The scope of the harmonized files includes:
HOUSEHOLD:
- Basic household characteristics
- Housing
- Water and sanitation
- Ownership of durable assets
- Consumption expenditure (total, food, and non-food)
- Consumption quintile
- Remittance
- Food security
- Ownership of non-farm enterprise
- Agricultural activities
- Ownership of livestock
INDIVIDUAL:
- Demographic characteristics (sex, age)
- Marital status
- Disability status
- Literacy
- Education
- Work
Coverage
National
The survey covered all de jure households excluding prisons, hospitals, military barracks, and school dormitories.
Producers and sponsors
| Name | Affiliation |
|---|---|
| Uganda Bureau of Statistics (UBOS) | Government of Uganda |
| Name | Role |
|---|---|
| The World Bank | Collaborated in the implementation of the survey, Harmonized the dataset |
| Name | Role |
|---|---|
| Government of Uganda | Funded the study |
| The World Bank | Funded the study |
| Government of Netherlands | Funded the study |
Sampling
See “Uganda - National Panel Survey 2019-2020” and “Uganda - High-Frequency Phone Survey on COVID-19 2020-2021” documentations available in the Microdata Library for details.
See “Uganda - National Panel Survey 2019-2020” and “Uganda - High-Frequency Phone Survey on COVID-19 2020-2021” documentations available in the Microdata Library for details.
Data collection
| Start | End | Cycle |
|---|---|---|
| 2019-03-30 | 2020-02-29 | Round 0 |
| 2020-06-03 | 2020-06-16 | Round 1 |
| 2020-07-30 | 2020-08-19 | Round 2 |
| 2020-09-14 | 2020-10-16 | Round 3 |
| 2020-10-27 | 2020-11-17 | Round 4 |
| 2021-02-02 | 2021-02-18 | Round 5 |
| 2021-03-22 | 2021-04-09 | Round 6 |
Data processing
Uganda National Panel Survey 2019-2020 and Uganda High-Frequency Phone Survey on COVID-19 2020-2021 data were harmonized following the harmonization guidelines (see “Harmonized Datafiles and Variables for High-Frequency Phone Surveys on COVID-19” for more details).
The high-frequency phone survey on COVID-19 has multiple rounds of data collection. When variables are extracted from multiple rounds of the survey, the originating round of the survey is noted with “_rX” in the variable name, where X represents the number of the round. For example, a variable with “_r3” presents that the variable was extracted from Round 3 of the high-frequency phone survey. Round 0 refers to the country’s latest face-to-face survey which has become the sample frame for the high-frequency phone surveys on COVID-19. When the variables are without “_rX”, they were extracted from Round 0.
Data Access
Before being granted access to the dataset, all users have to formally agree:
- 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.
- 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.
- 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.
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
Example: Uganda Bureau of Statistics. High-Frequency Phone Survey on COVID-19 2020-2021 – World Bank LSMS Harmonized Dataset. Dataset downloaded from [URL] on [date].
Disclaimer and copyrights
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.
Contacts
| Name | Affiliation | |
|---|---|---|
| LSMS Data Manager | The World Bank | lsms@worldbank.org |
Metadata production
DDI_UGA_2020_HFPS_v01_M_v01_A_COVID
| Name | Affiliation | Role |
|---|---|---|
| Development Economics Data Group | The World Bank | Documentation of the DDI |
2021-11-01
Metadata version
Version 01 (November 2021). Metadata for harmonized datasets.