EGY_2010_HIECS_v01_M
Household Income, Expenditure, and Consumption Survey 2010
Name | Country code |
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Egypt, Arab Rep. | EGY |
Income/Expenditure/Household Survey [hh/ies]
The HIECS 2010/2011 is the tenth Household Income, Expenditure and Consumption Survey that was carried out in 2010/2011, among a long series of similar surveys that started back in 1955.
The Household Income, Expenditure and Consumption Survey (HIECS) provides a large amount of data to rely on in measuring the living standards of households and individuals, as well as establishing databases that serve in measuring poverty, designing social assistance programs, and providing necessary weights to compile consumer price indices, considered to be an important indicator to assess inflation.
The survey's main objectives are:
Sample survey data [ssd]
2014-01
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, migration, education, labor and health characteristics, as well as annual income for household members identified as earners. Moreover, fathers' and mothers' characteristics are generated for household members if possible.
Topic | Vocabulary |
---|---|
Poverty | ERF |
Expenditure | ERF |
Income | ERF |
Infrastructure | ERF |
Education | ERF |
Labor | ERF |
Health | ERF |
Covering a sample of urban and rural areas in all the governorates.
The survey covered a national sample of households and all individuals permanently residing in surveyed households.
Name | Affiliation |
---|---|
Central Agency For Public Mobilization & Statistics | Egypt, Arab Rep. |
Name | Role |
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Arab Republic of Egypt | Funded the study |
Name |
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Economic Research Forum and Central Agency For Public Mobilization & Statistics (CAPMAS) |
The sample of HIECS 2010/2011 is a self-weighted two-stage stratified cluster sample of around 26500 households. The main elements of the sampling design are described below.
Sample Size : It was deemed important to collect a smaller sample size (around 26.5 thousand households) compared to previous rounds due to the convergence in the time period over which the survey is conducted to be every two years instead of five years because of its importance. The sample was proportionally distributed on the governorate level between urban and rural areas, in order to make the sample representative even for small governorates.
Cluster size : The cluster size was decreased compared to older surveys since large cluster sizes previously used were found to be too large to yield accepted design effect estimates (DEFT).
As a result, a cluster size of only 16 households was used (that was increased to 18 households in urban governorates and Giza, in addition to urban areas in Helwan and 6th of October, to account for anticipated non-response in those governorates: in view of past experience indicating that non-response may almost be nil in rural governorates). While the cluster size for the panel sample was 4 households.
Core Sample: The master sample of any household sample required to be pulled for the purpose of studying the properties of individuals and families. It is a large sample(1004800 household) that is distributed across urban and rural areas of all governorates.
A more detailed description of the different sampling stages and allocation of sample across governorates is provided in the Methodology document that is provided as an external resources in both Arabic and English.
For the total sample, the response rate was 93.0% (91.2% in urban areas and 95.6% in rural areas).
In order for the sample estimates for the HIECS to be representative of the population, it is necessary to multiply the data by a sampling weight, or expansion factor. The basic weight for each sample household would be equal to the inverse of its probability of selection (calculated by multiplying the probabilities at each sampling stage).
The HIECS sample is approximately self-weighting at national level and strictly self-weighting at the governorate level, it should be easy to attach a weight to each sample household record in the computer files, and the tabulation programs can weight the data automatically. The sampling probabilities at each stage of selection will be maintained in an Excel spreadsheet so that the overall probability and corresponding weight can be calculated for each sample cluster.
The procedures for calculating the weights and variances are described in details in the methodology technical document attached to the documentation materials published in both Arabic and English.
Three different questionnaires were used:
1- Expenditure and Consumption Questionnaire: This questionnaire comprises 14 tables in addition to identification and geographic data of household.
2- Diary Questionnaire (Assisting questionnaire): This questionnaire was prepared to help households record - on a daily basis- the quantity and value of food and beverages consumed during the reference period (15 days).
3- Income Questionnaire: This questionnaire consists of several tables; each designated to a specific income source.
Start | End |
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2010-07-01 | 2011-06-30 |
Name | Affiliation |
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Central Agency For Public Mobilization & Statistics | Egypt, Arab Rep. |
Supervisors were responsible for financial and technical aspects of all the survey stages especially:
The survey period of the 2010-2011 HIECS extends over a 12 months period, starting from July 2010 and ending in June 2011. Households were observed for two continuous weeks only, to collect information on food expenditure. Data was collected using personal interview method for household in dwelling and it had been obtained from the head of household or wife or any eligible person in case of their absence.
The Statistical Package for Social Science (SPSS) was used to clean and harmonize the datasets.
The sampling error of major survey estimates has been derived using the Ultimate Cluster Method as applied in the CENVAR Module of the Integrated Microcomputer Processing System (IMPS) Package. In addition to the estimate of sampling error, the output includes estimates of coefficient of variation, design effect (DEFF) and 95% confidence intervals.
Quality Control Procedures included:
Implementing field editing after finishing data collection for households in governorates to avoid any errors in suitable time.
Setting up a program for the Survey Technical Committee Members and survey staff for visiting fieldwork in all governorates (each 15 days) to solve any problem in the proper time.
For the purpose of quality assurance, tables were generated for each survey round where internal consistency checks were performed to study the plausibility of consistency of data collected.
The quality control procedures covered 73.2% of total kism/district in urban areas, 48.3% of rural districts, and 48% of total EAs of the new sample, where the percentage of inconsistencies did not exceed 2%. As for the panel sample, the quality control procedures covered 50.3% of total kism/district in urban areas, 16.9% of rural districts, and 14.2% of total EAs of the new sample, where the percentage of inconsistencies did not exceed 2.1%.
Name | Affiliation | URL | |
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Economic Research Forum | Economic Research Forum (ERF) | www.erf.org.eg | erfdataportal@erf.org.eg |
Is signing of a confidentiality declaration required? | Confidentiality declaration text |
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yes | To access the micro data, researchers are required to register on the ERF website and comply with the data access agreement. |
Use of the dataset must be acknowledged using a citation which would include:
Example:
Central Agency For Public Mobilization & Statistics. Egypt Household Income, Expenditure and Consumption Survey (HIECS) 2010. Ref. EGY_HIECS_2010_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.
(c) 2014, Economic Research Forum | (c) 2011, CAPMAS, Egypt
Name | URL | |
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Economic Research Forum (ERF) | erfdataportal@erf.org.eg | www.erf.org.eg |
DDI_EGY_2010_HIECS_v01_M
Name | Affiliation | Role |
---|---|---|
Economic Research Forum | Cleaning and harmonizing raw data received from the Statistical Agency | |
Development Economics Data Group | The World Bank | Documentation of the DDI |
2014-01
Version 03 (June 2015). The original DDI (EGY_HIECS_2010_HD_V2.0) was downloaded from Economic Research Forum (ERF) Catalog (http://www.erfdataportal.com/index.php/catalog) on December 2014.