JOR_2008_HEIS_v01_M
Household Expenditure and Income Survey 2008
Name | Country code |
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Jordan | JOR |
Income/Expenditure/Household Survey [hh/ies]
Since its establishment, the Department of Statistics conducted several surveys on Household Expenditure and Income in the years 1966, 1980, 1986/1987, 1992, 1997, 2002/2003 and 2006.
The main objective of the survey is to obtain detailed data on household expenditure and income, linked to various demographic and socio-economic variables, to enable computation of poverty indices and determine the characteristics of the poor and prepare poverty maps. Therefore, to achieve these goals, the sample had to be representative on the sub-district level.
Data collected through the survey helped in achieving the following objectives:
Sample survey data [ssd]
v01
Household: Includes geographic, social, and economic characteristics of households, namely, household composition, dwelling characteristics, ownership of assets indicators, heads and spouses' characteristics, annual household expenditure and income.
Individual: Includes demographic, education, labor and health characteristics, as well as annual income for household members identified as earners.
National
The survey covered a national sample of households and all individuals permanently residing in surveyed households
Name | Affiliation |
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Department of Statistics | Jordan |
Name |
---|
Department of Statistics, Jordan |
The 2008 Household Expenditure and Income Survey sample was designed using two-stage cluster stratified sampling method. In the first stage, the primary sampling units (PSUs), the blocks, were drawn using probability proportionate to the size, through considering the number of households in each block to be the block size. The second stage included drawing the household sample (8 households from each PSU) using the systematic sampling method. Fourth substitute households from each PSU were drawn, using the systematic sampling method, to be used on the first visit to the block in case that any of the main sample households was not visited for any reason.
To estimate the sample size, the coefficient of variation and design effect in each subdistrict were calculated for the expenditure variable from data of the 2006 Household Expenditure and Income Survey. These results was used to estimate the sample size at sub-district level, provided that the coefficient of variation of the expenditure variable at the sub-district level did not exceed 10%, with a minimum number of clusters that should not be less than 6 at the district level, that is to ensure good clusters representation in the administrative areas to enable drawing poverty pockets.
It is worth mentioning that the expected non-response in addition to areas where poor families are concentrated in the major cities were taken into consideration in designing the sample. Therefore, a larger sample size was taken from these areas compared to other ones, in order to help in reaching the poverty pockets and covering them.
List of survey questionnaires:
(1) General Form
(2) Expenditure on food commodities Form
(3) Expenditure on non-food commodities Form
Start | End |
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2008-03-01 | 2009-02-28 |
Name | Affiliation |
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Department of Statistics | Jordan |
Interviewing was conducted by teams of interviewers. Each interviewing team comprised of 3 interviewers, a field editor, a supervisor, and a driver. The role of the supervisor was to coordinate data collection activities, including management of the field teams, supplies and equipment, finances, maps and listings, coordinate with local authorities concerning the survey plan, and make arrangements for accommodation and travel. Additionally, the field supervisor assigned the work to the interviewers, spot checked work, maintained field control documents, and sent completed questionnaires and progress reports to the central office.
A plan to train the interviewers, supervisors and inspectors was prepared which covered the survey objectives, data collection procedures, confidentiality of data, and how to deal with the households and overcome expected difficulties during various stages. The training program also included detailed explanation of the questionnaires’ inputs, used concepts and instructions related to data collection and field editing.
Electronic Processing: This stage began by defining the electronic processing team, which consisted of a system analyst, programmers and data entry staff. Work of the system analyst and programmers began in parallel with the work of the survey staff; starting by designing the questionnaire in a form that facilitates and ensures accuracy of data entry, preparing the required programs, then testing them by using hypothetical data and finalizing them before data entry. A liaision officer was appointed to provide the entry division with office-processed questionnaires which were returned in the form of batches to the archive upon completing data entry process. As for data entry, the data analyst of the survey trained a group of data entry staff on already prepared programs and systems. A set of data entry editing rules for all fields of the questionnaires were compiled. It included checking the permitted range of the value and quantity of each entered field and ensuring consistency between value and quantity of the field, and the related values and quantities of fields related to it in other questionnaires. The consistency rules were applied directly during the entry on various questionnaire items. That is, to ensure that entered data were consistent with each other and logical on the one hand, and conformed to given instructions related to the questionnaires’ data on the other hand. After completing the data entry process, special lists of data were printed. They were edited to reassure the correct entry and rectification of errors (if any).
Tabulation and Dissemination of Results: Upon finalization of all office and electronic processing operations, the actual survey results were tabulated using the ORACLE package. The results were checked by extracting similar reports using the SPSS package to ensure that the results are correct and free of errors. This required checking the formality and phrasing of the used titles and concepts, in addition to editing of all data in each table according to its details and consistency within the same table and with other tables. The final report was then prepared, containing detailed tabulations, as well as, the methodology of the survey.
Name | Affiliation |
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Poverty GP MNA | The World Bank |
Use of the dataset must be acknowledged using a citation which would include:
Example:
Department of Statistics, Jordan. Household Expenditure and Income Survey 2008. Ref. JOR_2008_HEIS_v01_M. Dataset downloaded from [url] on [date].
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.
Name | Affiliation | URL | |
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Department of Statistics (DoS) | Jordan | stat@dos.gov.jo | www.dos.gov.jo |
DDI_JOR_2008_HEIS_v01_M_WB
Name | Affiliation | Role |
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Development Economics Data Group | The World Bank | Documentation of the DDI |
2012-11
Version 01 (February 2016)