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Household Income and Expenditure Survey 2014

United Arab Emirates, 2014
Reference ID
ARE_2014_HIES_v01_M
Producer(s)
National Bureau of Statistics
Metadata
DDI/XML JSON
Created on
Jul 05, 2022
Last modified
Jul 05, 2022
Page views
923
Downloads
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  • Study Description
  • Data Dictionary
  • Downloads
  • Get Microdata
  • Identification
  • Version
  • Scope
  • Coverage
  • Producers and sponsors
  • Sampling
  • Data collection
  • Data Access
  • Disclaimer and copyrights
  • Metadata production
  • Identification

    Survey ID number

    ARE_2014_HIES_v01_M

    Title

    Household Income and Expenditure Survey 2014

    Country
    Name Country code
    United Arab Emirates ARE
    Study type

    Income/Expenditure/Household Survey [hh/ies]

    Abstract

    Household Income and Expenditure Survey (HIES) generally aims to provide data about expenditure, income, housing, household, and population characteristics for the residents of Abu Dhabi Emirate who live in various types of households including the residents in labor camps, who represent a high proportion of the population. Objective of the survey is to estimate the disability rate among working age population.

    Kind of Data

    Sample survey data [ssd]

    Unit of Analysis

    Household and Individual

    Version

    Version Description

    Version 01

    Version Date

    2014

    Scope

    Notes

    The Household Income and Expenditure Survey provides data on:

    • Expenditures
    • Income
    • Housing Charactristics
    • Indivisual Charactristics

    Coverage

    Geographic Coverage

    National

    Geographic Unit

    Cities and settlements.

    Universe

    All age groups.

    Producers and sponsors

    Primary investigators
    Name Affiliation
    National Bureau of Statistics Mohamed Elbahi National Bureau of Statistics

    Sampling

    Sampling Procedure

    The sample designed for the labor camp population based on a stratified two-stage sample design. In this case the Primary Sampling Units (PSUs) would be the individual labor camps, and a sample of workers selected in each sample labor camp at the second sampling stage. The sampling frame of labor camps for each region stratified by size in terms of the number of workers. For the 2011 Census enumeration a different classification was used for labor camps with 30 or more workers, and for camps with less than 30 workers. Within each stratum, the sample labor camps selected with Probability Proportional to Size (PPS) based on the number of workers.

    Data collection

    Dates of Data Collection
    Start End
    2014 2014
    Mode of data collection
    • Face-to-face [f2f]
    Data Collection Notes

    Special household questionnaires designed to collect data about income, expenditure, and individuals, household, and housing characteristics due to the relative difference in economic, social, expenditure trends and income sources. Each person in the “labor Camps” constitutes an independent count unit having its own economic, social and demographic characteristics, as well as its consumer expenditure trends and income sources. In order to be aware of all these characteristics a special comprehensive questionnaire designed for each of the following:

    • A person's demographic and social characteristics.
    • Economic characteristics related to the ownership of some appliances and tools.
    • Income sources: This part includes all the items of income sources that may apply to workers camp resident.
    • Expenditure questionnaire: This part includes the items related to expenditure on expenditure sub-groups in the form of groups for which the total value of expenditure recorded without reference to amounts. Thus, it was an open questionnaire that does not include the names of food items; but only the names of sub-groups such as:
    • Cereals and their products.
    • Meat, fish, milk and eggs.
    • Vegetables and fruits
    • Legumes
    • Clothes
    • Shoes
    • Actual paid or estimated rent value, and the details of the entity responsible for paying the rent or the percentage if pays.
    • Health and treatment services, etc.
      On the other hand, there were also some basic goods on which the workers spent so much that are worthy of study and analysis such as the value of readymade meals and spending on communications such as the prices of mobile phones and the prices of phone cards.

    In-kind gifts purchased by the worker and sent to persons in Abu Dhabi Emirate or away recorded under a special section of the questionnaire that includes the total value of these gifts, which bought or sent, or he/she intends to send in the coming period.

    As the person did not live in a private house or housing unit and was not part of a private or share household, the data of the house or household not collected, and it was one of the objectives of this survey to study the house characteristics of this category.

    Data Access

    Citation requirements

    The use of the datasets must be acknowledged using a citation which would include:

    • the identification of the Primary Investigator (including country name)
    • the full title of the survey and its acronym (when available), and the year(s) of implementation
    • the survey reference number
    • the source and date of download (for datasets disseminated online)

    Example:

    Mohamed Elbahi National Bureau of Statistics. United Arab Emirates Household Income and Expenditure Survey (HIES) 2014, Ref. ARE_2014_HIES_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.

    Metadata production

    DDI Document ID

    DDI_ARE_2014_HIES_v01_M_WB

    Producers
    Name Affiliation Role
    Poverty-GP The World Bank Documentation of the study
    Development Economics Data Group The World Bank Review and prepare metadata for publication
    Date of Metadata Production

    2022-04-28

    Metadata version

    DDI Document version

    Version 01 (April 2022)

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