Namibia Household Income and Expenditure Survey 2003/2004
Namibia, 2003 - 2004
Central Bureau of Statistics
Last modified
January 15, 2019
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37339
Identification
Title
Namibia Household Income and Expenditure Survey 2003/2004
Countries
| Name | Abbreviation |
|---|---|
| Namibia | NAM |
idno
NAM_NSA_2003_NHIES_v01_M
Study notes
The Namibia Household Income and Expenditure Survey (NHIES 2003-2004) internationally known as the Budget Survey, is the second of its kind to have been conducted in independent Namibia after the NHIES 1993-1994. Budget surveys are specialized statistical frameworks for monitoring and evaluation of socioeconomic policy performances on the one hand and on the other instruments for updating statistical infrastructure such as providing the basis for the re-basing of both National Accounts and the Consumer Price Index (CPI). According to the international best practices budget surveys should be undertaken at least once in five years. The purpose for this recommended frequency is to ensure the provision of relevant data timely to policy makers. However, budget surveys are quite costly due to their methodological requirement, which dictate that the data collection phase should cover a full calendar year. The expenditure on NHIES 2003-2004 up to date is in the range of Forty Million Namibian Dollars (N$ 40 million).
The main objectives of the NHIES 2003-2004 include providing data necessary for policy making at different sectors and levels as well as to evaluate and monitor various development programs. Hence the data would be used for the evaluation of the performance of NDP1 in the improvements of the welfare of Namibian people. It could also be used for estimation of benchmark indicators for the monitoring of development initiatives such as Second Development Plan (NDP2), Vision 2030, Poverty Reduction Strategy for Namibia, and National Human Resources Plan. The data will also be used in the National Accounts compilations, updating the basket of goods and services and the weights for the national consumer price index, welfare and poverty studies and nutritional studies.
The main objectives of the NHIES 2003-2004 include providing data necessary for policy making at different sectors and levels as well as to evaluate and monitor various development programs. Hence the data would be used for the evaluation of the performance of NDP1 in the improvements of the welfare of Namibian people. It could also be used for estimation of benchmark indicators for the monitoring of development initiatives such as Second Development Plan (NDP2), Vision 2030, Poverty Reduction Strategy for Namibia, and National Human Resources Plan. The data will also be used in the National Accounts compilations, updating the basket of goods and services and the weights for the national consumer price index, welfare and poverty studies and nutritional studies.
Kind of data
Sample survey data [ssd]
Unit of analysis
- Individuals
- Households
- Households
Version
Version
- v01: Edited, anonymous dataset for public distribution.
Coverage
Geographic coverage
National
Unit of analysis
- Individuals
- Households
- Households
Producers and sponsors
Funding agencies
| Name | Abbreviation | Role |
|---|---|---|
| Swedish International Development Agency | SIDA | Technical and financial support |
Sampling
Sampling procedure
The target population of the NHIES2003/04 was the private household population of Namibia; i.e. excluding the institutional and homeless populations.
The sample design for the survey was a stratified two-stage cluster sample where the first stage units were geographical areas designated as PSUs and the second stage units were the households. The first stage units were selected from the sampling frame of PSUs using probability proportional to size sampling coupled with systematic sampling procedure. At the second stage households were selected systematically from a current list of households within the PSU, which was compiled just before survey interviews.
Sample size was determined in order to make reliable estimates at the regional and urban/rural levels within each region. It was also decided to represent both urban and rural strata in every survey round to eliminate seasonal effects. The number of households per PSU was fixed at 20.
The final sample consisted of 10,920 households in 546 PSUs. The selected PSUs were randomly allocated to the 13 survey rounds so that each survey round would constitute a random sample of 42 PSUs and 840 households. A survey round was a period of 4 weeks, during which the households participated in the survey.
The sample design for the survey was a stratified two-stage cluster sample where the first stage units were geographical areas designated as PSUs and the second stage units were the households. The first stage units were selected from the sampling frame of PSUs using probability proportional to size sampling coupled with systematic sampling procedure. At the second stage households were selected systematically from a current list of households within the PSU, which was compiled just before survey interviews.
Sample size was determined in order to make reliable estimates at the regional and urban/rural levels within each region. It was also decided to represent both urban and rural strata in every survey round to eliminate seasonal effects. The number of households per PSU was fixed at 20.
The final sample consisted of 10,920 households in 546 PSUs. The selected PSUs were randomly allocated to the 13 survey rounds so that each survey round would constitute a random sample of 42 PSUs and 840 households. A survey round was a period of 4 weeks, during which the households participated in the survey.
Response rate
Total number of households in the survey - 10,920,
Number of respondent households - 9,801,
Response rate - 90%,
Non-respondent households - 10%,
Refusals - 0.9%,
Non-contacts - 4.3%,
Incomplete data - 4.3%,
Other reason to non-response - 0.5%.
Number of respondent households - 9,801,
Response rate - 90%,
Non-respondent households - 10%,
Refusals - 0.9%,
Non-contacts - 4.3%,
Incomplete data - 4.3%,
Other reason to non-response - 0.5%.
Weighting
The data was raised from sample level to totals (population, households, consumption etc.) for Namibia using the sample weights. Sample weights were calculated based on the probabilities of selection at each stage. The final sample weights were the product of the first and the second stage weights.
Data Collection
Dates of collection
| Start | End | Cycle |
|---|---|---|
| 2003-09-01 | 2004-08-29 |
Mode of data collection
Face-to-face [f2f]
Data collection supervision
The structure approved by the Public Service Commission of Namibia consisted of a Survey Manager and two Deputy Survey Managers. The NHIES management team was assisted by a core of permanent staff and a number of both short and long term external consultants in the execution of the survey. Regional offices were established under regional supervisors in every region and these were the focal points for all survey operations in each region.
During field data collection a team composed of a supervisor, a listing/coding clerk and 2 interviewers covered each primary sampling unit (PSU).
During field data collection a team composed of a supervisor, a listing/coding clerk and 2 interviewers covered each primary sampling unit (PSU).
Questionnaires
Two questionnaires (Form 1 and Form 2) were developed for data collection in the survey. Form 1 collected individual information including age, education, marital status, etc. and household information such as type of dwelling, assets, and details on household expenditure and income. Form 2, the Daily Record Book (DRB), was designed for recording, on a daily basis, all households’ transactions during the survey round. Households were instructed to record transactions, item by item, all expenditures and receipts, including incomes and gifts received or given out.
Data Processing
Data editing
The questionnaires received from the regions were registered and counterchecked at the survey head office. The data processing team consisted of programmers and data typists.
Data capturing
The data capturing process for the NHIES was undertaken in the following ways: Form 1 was scanned, interpreted and verified using the "Scan", "Interpret" & 'Verify" modules of the Eyes & Hands software respectively. Some basic checks were carried out to ensure that each PSU was valid and every household was unique. Invalid characters were removed. The scanned and verified data was converted into text files using the "Transfer" module of the Eyes & Hands. Finally, the data was transferred into a SQL database for further processing, using the "TranScan" application. The Daily Record Books were manually entered and this was carried out after the scanned data has been transferred to the database. The reason was to ensure that all DRBs were linked to the correct Form 1, i.e. each household’s Form 1 was linked to the corresponding Daily Record Books. In total, 10 000 questionnaires (Form 1), comprising around 400 questions each, were scanned and almost one million transactions from the Form 2 (DRBs) were captured.
Data capturing
The data capturing process for the NHIES was undertaken in the following ways: Form 1 was scanned, interpreted and verified using the "Scan", "Interpret" & 'Verify" modules of the Eyes & Hands software respectively. Some basic checks were carried out to ensure that each PSU was valid and every household was unique. Invalid characters were removed. The scanned and verified data was converted into text files using the "Transfer" module of the Eyes & Hands. Finally, the data was transferred into a SQL database for further processing, using the "TranScan" application. The Daily Record Books were manually entered and this was carried out after the scanned data has been transferred to the database. The reason was to ensure that all DRBs were linked to the correct Form 1, i.e. each household’s Form 1 was linked to the corresponding Daily Record Books. In total, 10 000 questionnaires (Form 1), comprising around 400 questions each, were scanned and almost one million transactions from the Form 2 (DRBs) were captured.
Data access
Access authorities
| Name | Affiliation | URI | |
|---|---|---|---|
| Statistician General | Namibia Statistics Agency | Statistician-general@nsa.org.na | http://www.nsa.org.na/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
Example,
Namibia Central Bureau of Statistics, Namibia National Planning Commission. Namibia National Household Income and Expenditure Survey (HIES) 2003-2004, Ref. NAM_NSA_2003_NHIES_v01_M. Dataset downloaded from [url] on [date].
- 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,
Namibia Central Bureau of Statistics, Namibia National Planning Commission. Namibia National Household Income and Expenditure Survey (HIES) 2003-2004, Ref. NAM_NSA_2003_NHIES_v01_M. Dataset downloaded from [url] on [date].
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.
contacts
Contact(s)
| Name | Affiliation | URI | |
|---|---|---|---|
| The World Bank Microdata Library | The World Bank | microdata@worldbank.org | http://microdata.worldbank.org |