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Household Expenditure and Income Survey 2008

Jordan, 2008 - 2009
Reference ID
JOR_2008_HEIS_v01_M
Producer(s)
Department of Statistics
Metadata
DDI/XML JSON
Created on
May 03, 2016
Last modified
Mar 29, 2019
Page views
19201
Downloads
1301
  • Study Description
  • Data Dictionary
  • Downloads
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  • Related Publications
  • Identification
  • Version
  • Scope
  • Coverage
  • Producers and sponsors
  • Sampling
  • Survey instrument
  • Data collection
  • Data processing
  • Depositor information
  • Data Access
  • Disclaimer and copyrights
  • Contacts
  • Metadata production
  • Identification

    Survey ID number

    JOR_2008_HEIS_v01_M

    Title

    Household Expenditure and Income Survey 2008

    Country
    Name Country code
    Jordan JOR
    Study type

    Income/Expenditure/Household Survey [hh/ies]

    Series Information

    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.

    Abstract

    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:

    1. Provide data weights that reflect the relative importance of consumer expenditure items used in the preparation of the consumer price index
    2. Study the consumer expenditure pattern prevailing in the society and the impact of demograohic and socio-economic variables on those patterns
    3. Calculate the average annual income of the household and the individual, and assess the relationship between income and different economic and social factors, such as profession and educational level of the head of the household and other indicators
    4. Study the distribution of individuals and households by income and expenditure categories and analyze the factors associated with it
    5. Provide the necessary data for the national accounts related to overall consumption and income of the household sector
    6. Provide the necessary income data to serve in calculating poverty indices and identifying the poor chracteristics as well as drawing poverty maps
    7. Provide the data necessary for the formulation, follow-up and evaluation of economic and social development programs, including those addressed to eradicate poverty
    Kind of Data

    Sample survey data [ssd]

    Unit of Analysis
    • Households
    • Individuals

    Version

    Version Description

    v01

    Scope

    Notes

    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.

    Coverage

    Geographic Coverage

    National

    Universe

    The survey covered a national sample of households and all individuals permanently residing in surveyed households

    Producers and sponsors

    Primary investigators
    Name Affiliation
    Department of Statistics Jordan
    Funding Agency/Sponsor
    Name
    Department of Statistics, Jordan

    Sampling

    Sampling Procedure

    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.

    Survey instrument

    Questionnaires

    List of survey questionnaires:
    (1) General Form
    (2) Expenditure on food commodities Form
    (3) Expenditure on non-food commodities Form

    Data collection

    Dates of Data Collection
    Start End
    2008-03-01 2009-02-28
    Data Collectors
    Name Affiliation
    Department of Statistics Jordan
    Supervision

    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.

    Data Collection Notes

    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.

    Data processing

    Data 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.

    Depositor information

    Depositor
    Name Affiliation
    Poverty GP MNA The World Bank

    Data Access

    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:

    Department of Statistics, Jordan. Household Expenditure and Income Survey 2008. Ref. JOR_2008_HEIS_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

    Contacts
    Name Affiliation Email URL
    Department of Statistics (DoS) Jordan stat@dos.gov.jo www.dos.gov.jo

    Metadata production

    DDI Document ID

    DDI_JOR_2008_HEIS_v01_M_WB

    Producers
    Name Affiliation Role
    Development Economics Data Group The World Bank Documentation of the DDI
    Date of Metadata Production

    2012-11

    Metadata version

    DDI Document version

    Version 01 (February 2016)

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