Identification
Survey ID Number
EGY_2004_HIECS_v01_M
Title
Household Income, Expenditure and Consumption Survey 2004-2005
Country
| Name | Country code |
|---|---|
| Egypt, Arab Rep. | EGY |
Series Information
The first survey was undertaken in 1958/59 followed by several surveys. The current survey is the 8th in the series with a sample size of 48 thousand households distributed all over the governorates of Egypt through one year starting from the first of July 2004 till the end of June 2005 (4000 households monthly).
The first time in this survey series the following issues are included:
1) The use of the classification of individual consumption according to purpose (COICOP) in designing the expenditure and consumption questionnaire.
2) The inclusion of the main sales outlets of food and beverages.
3) The addition of school enrollment (6+ years) to the household schedule.
4) The inclusion of expenditure for used commodities (durables and semi durables)
5) The addition of data related to change in assets owned by the household during the reference year
The first time in this survey series the following issues are included:
1) The use of the classification of individual consumption according to purpose (COICOP) in designing the expenditure and consumption questionnaire.
2) The inclusion of the main sales outlets of food and beverages.
3) The addition of school enrollment (6+ years) to the household schedule.
4) The inclusion of expenditure for used commodities (durables and semi durables)
5) The addition of data related to change in assets owned by the household during the reference year
Abstract
Survey Objectives
1- To identify expenditure levels and patterns of population as well as socio- economic and demographic differentials.
2- To estimate the quantities and values of commodities and services consumed by households during the survey period to determine the levels of consumption and estimate the current demand which is an important input for national planning. Current and past demand estimates are utilized to predict future demands
3- To measure mean household and per-capita expenditure for various expenditure items along with socio-economic correlates.
4- To define percentage distribution of expenditure for various items used in compiling consumer price indices which is considered important indicator for measuring inflation
5- To define mean household and per-capita income from different sources.
6- To provide data necessary to measure standard of living for households and individuals. Poverty analysis and setting up a basis for social welfare assistance are highly dependant on the results of this survey.
7- To provide essential data to measure elasticity which reflects the percentage change in expenditure for various commodity and service groups against. the percentage change in total expenditure for the purpose of predicting the levels of expenditure and consumption for different commodity and service items in urban and rural areas.
8- To provide data essential for comparing change in expenditure against change in income to measure income elasticity of expenditure.
9- To study the relationships between demographic, geographical and housing characteristics of households and their income and expenditure for commodities and services.
10- To provide data necessary for national accounts especially in compiling inputs and outputs tables.
11- To identify consumers behavior changes among socio-economic groups in urban and rural areas.
12- To identify per capita food consumption and its main components of calories, proteins and fats according to its sources and the levels of expenditure in both urban and rural areas.
13- To identify the value of expenditure for food according to sources, either from household production or not, in addition to household expenditure for non food commodities and services.
14- To identify distribution of households according to the possession of some appliances and equipments such as (cars, satellites, mobiles …) in urban and rural areas.
15- To identify the percentage distribution of income recipients according to some background variables such as housing conditions, size of household and characteristics of head of household.
1- To identify expenditure levels and patterns of population as well as socio- economic and demographic differentials.
2- To estimate the quantities and values of commodities and services consumed by households during the survey period to determine the levels of consumption and estimate the current demand which is an important input for national planning. Current and past demand estimates are utilized to predict future demands
3- To measure mean household and per-capita expenditure for various expenditure items along with socio-economic correlates.
4- To define percentage distribution of expenditure for various items used in compiling consumer price indices which is considered important indicator for measuring inflation
5- To define mean household and per-capita income from different sources.
6- To provide data necessary to measure standard of living for households and individuals. Poverty analysis and setting up a basis for social welfare assistance are highly dependant on the results of this survey.
7- To provide essential data to measure elasticity which reflects the percentage change in expenditure for various commodity and service groups against. the percentage change in total expenditure for the purpose of predicting the levels of expenditure and consumption for different commodity and service items in urban and rural areas.
8- To provide data essential for comparing change in expenditure against change in income to measure income elasticity of expenditure.
9- To study the relationships between demographic, geographical and housing characteristics of households and their income and expenditure for commodities and services.
10- To provide data necessary for national accounts especially in compiling inputs and outputs tables.
11- To identify consumers behavior changes among socio-economic groups in urban and rural areas.
12- To identify per capita food consumption and its main components of calories, proteins and fats according to its sources and the levels of expenditure in both urban and rural areas.
13- To identify the value of expenditure for food according to sources, either from household production or not, in addition to household expenditure for non food commodities and services.
14- To identify distribution of households according to the possession of some appliances and equipments such as (cars, satellites, mobiles …) in urban and rural areas.
15- To identify the percentage distribution of income recipients according to some background variables such as housing conditions, size of household and characteristics of head of household.
Kind of Data
Sample survey data [ssd]
Unit of Analysis
- Household
- Individual
- Individual
Scope
Notes
The 2004-2005 Egypt Household Income, Expenditure and Consumption Survey covered the following topics:
- Demographic characteristics and basic data for all household individuals consisting of 16 questions for every person
- Members of household who are currently working abroad
- Household ration card
- Main outlets that provide food and beverage
- Domestic and foreign tourism
- Housing conditions
- Means of transportation used to go to work or school
- Household possession of appliances
- Consumption and expenditure
- Income
- Demographic characteristics and basic data for all household individuals consisting of 16 questions for every person
- Members of household who are currently working abroad
- Household ration card
- Main outlets that provide food and beverage
- Domestic and foreign tourism
- Housing conditions
- Means of transportation used to go to work or school
- Household possession of appliances
- Consumption and expenditure
- Income
Coverage
Geographic Coverage
National
Universe
The survey covered all de jure household members (usual residents).
Producers and sponsors
Primary investigators
| Name | Affiliation |
|---|---|
| Central Agency for Public Mobilization and Statistics (CAPMAS) | Ministry of Planning, Faculty of Economic and Political Sciences |
Sampling
Sampling Procedure
The sample of Family Income, Expenditure and Consumption Survey (FIECS) of 2004/2005 is a multi-stage stratified cluster sample and self-weighted to the extent practical. Its designed size is 48000 households allocated among governorates and their urban/rural components in proportion to size. The sample was selected in three stages (the second stage is considered dummy). The first two stages are related to the Master Sample which has been drawn directly before the field work of FIECS started. The third sampling stage concerns with the selection of a sample of 40 households from each Master Sample Areas (1200 areas with approximately 700 households in each).
(Refer Section 2 of Survey Methodology document for detail sampling design information)
(Refer Section 2 of Survey Methodology document for detail sampling design information)
Weighting
Although the sample has been designed to be a self-weighted, the size variability of the secondary stage units (area segments) around 700 households has resulted in an overall sampling rate, which is rather different from one area segment to another. Consequently, weights have been incorporated in extracting survey estimates. The overall weight is a composite of the design and response weights.
(Refer Section 2 of Survey Methodology document for detail sampling design information)
(Refer Section 2 of Survey Methodology document for detail sampling design information)
Data Collection
Dates of Data Collection
| Start | End |
|---|---|
| 2004-07 | 2005-06 |
Data Collection Mode
Face-to-face [f2f]
Supervision
They we responsible for financial and technical aspects of all the survey stages especially:
(1) Selecting interviewers (females) and editors( males) and send the list of their names to administration of survey.
(2) Attending the central training in Cairo.
(3) Training the interviewers on field work.
(1) Selecting interviewers (females) and editors( males) and send the list of their names to administration of survey.
(2) Attending the central training in Cairo.
(3) Training the interviewers on field work.
Data Collection Notes
Field Work
1- The field staff were selected from among the experienced persons.
2- Intensive training program for supervisors was conducted at CAPMAS in Cairo and locally in governorates for interviewers and field editors.
3- Supervision program was implemented monthly in all governorates to check the field work.
4- Data were collected by 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.
5- Duties and responsibilities of all levels of field staff (interviewer, editor and supervisor) were defined to insure the accuracy and timing. These are outlined next
Interviewers - Every one of them was responsible for data collection of ten households monthly with ten visits.
1- The field staff were selected from among the experienced persons.
2- Intensive training program for supervisors was conducted at CAPMAS in Cairo and locally in governorates for interviewers and field editors.
3- Supervision program was implemented monthly in all governorates to check the field work.
4- Data were collected by 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.
5- Duties and responsibilities of all levels of field staff (interviewer, editor and supervisor) were defined to insure the accuracy and timing. These are outlined next
Interviewers - Every one of them was responsible for data collection of ten households monthly with ten visits.
Data Collectors
| Name | Abbreviation | Affiliation |
|---|---|---|
| Central Agency for Public Mobilization and Statistics | CAPMAS | Ministry of Planning, Faculty of Economic and Political Sciences |
Questionnaires
Questionnaires
Three different questionnaires have been designed as following:
1- Expenditure and consumption questionnaire
2- Diary questionnaire for expenditure and consumption
3- Income questionnaire.
In designing the questionnaires of expenditure, consumption and income, we were taking into our consideration the following:
- Using the recent concepts and definitions of International Labor Organization approved in the International Convention of Labor Statisticians held in Geneva ,2003.
- Using the recent Classification of Individual Consumption according to Purpose(COICOP).
- Using more than one approach of expenditure measurement to serve many purposes of the survey
1- Expenditure and consumption questionnaire
2- Diary questionnaire for expenditure and consumption
3- Income questionnaire.
In designing the questionnaires of expenditure, consumption and income, we were taking into our consideration the following:
- Using the recent concepts and definitions of International Labor Organization approved in the International Convention of Labor Statisticians held in Geneva ,2003.
- Using the recent Classification of Individual Consumption according to Purpose(COICOP).
- Using more than one approach of expenditure measurement to serve many purposes of the survey
Data Processing
Data Editing
Office Editing: It is one of the main stages of the survey. It started as soon as the questioners were received from the field and accomplished by selected work groups. It includes:
A- Editing of coverage and completeness
B- Editing of consistency
C- Arithmetic editing of quantities and values.
Coding: Specialized staff have coded the data of industry, occupation and geographical identification.
A- Editing of coverage and completeness
B- Editing of consistency
C- Arithmetic editing of quantities and values.
Coding: Specialized staff have coded the data of industry, occupation and geographical identification.
Data Appraisal
Estimates of Sampling Error
The sampling error of major survey estimates has been derived using the Ultimate Cluster Method as applied in the CENVAR Module of the IMPS (Integrated Microcomputer Processing System) Package. In addition to the estimate of sampling error, the output includes estimates of coefficient of variation, design effect (deff) and 95% confidence intervals.
Access policy
Contacts
| Name | URL | |
|---|---|---|
| CAPMAS president affairs | pres_capmas@capmas.gov.eg | http://www.capmas.gov.eg/default.aspx |
| Worldbank Microdata Library | microdata@worldbank.org |
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_EGY_2004_HIECS_v01_M_WB
Producers
| Name | Abbreviation | Role |
|---|---|---|
| World Bank, Development Economics Data Group | DECDG | Documentation of the study |
Date of Metadata Production
2013-07-19
DDI Document version
Version 01 (July 2013). This metadata does not include survey data files.