The 2014 Egypt Demographic and Health Survey (2014 EDHS) is the tenth in a series of Demographic and Health Surveys conducted in Egypt. As with the prior surveys, the main objective of the 2014 EDHS is to provide up-to-date information on fertility and childhood mortality levels; fertility preferences; awareness, approval, and use of family planning methods; and maternal and child health and nutrition. The survey also covers several special topics including domestic violence and child labor and child disciplinary practices. All ever-married women age 15-49 who were usual members of the selected households and those who spent the night before the survey in the selected households were eligible to be interviewed in the survey. The sample for the 2014 EDHS was designed to provide estimates of population and health indicators including fertility and mortality rates for the country as a whole and for six major subdivisions (Urban Governorates, urban Lower Egypt, rural Lower Egypt, urban Upper Egypt, rural Upper Egypt, and the Frontier Governorates). Unlike earlier EDHS surveys, the sample for the 2014 EDHS was explicitly designed to allow for separate estimates of most key indicators at the governorate level.
Kind of data
Sample survey data [ssd]
Unit of analysis
- Children age 1-17
- Woman age 15-49
Producers and sponsors
Ministry of Health and Population
Government of Arab Republic of Egypt
El-Zanaty and Associates
United States Agency for International Development
Funded the study
United Nations Children’s Fund
Funded the study
United Nations Population Fund
Funded the study
The sample for the 2014 EDHS was designed to provide estimates of population and health indicators including fertility and mortality rates for the country as a whole and for six major subdivisions (Urban Governorates, urban Lower Egypt, rural Lower Egypt, urban Upper Egypt, rural Upper Egypt, and the Frontier Governorates). The sample also allows for estimates of most key indicators at the governorate level.
In order to allow for separate estimates for the major geographic subdivisions and the governorates, the number of households selected from each of the major subdivisions and each governorate was disproportionate to the size of the population in the units. Thus, the 2014 EDHS sample is not self-weighting at the national level.
A more detailed description of the 2014 EDHS sample design is included in Appendix B of the final report.
A total of 29,471 households selected for the 2014 EDHS, 28,630 households were found. Among those households, 28,175 were successfully interviewed, which represents a response rate of 98.4 percent.
A total of 21,903 women were identified as eligible to be interviewed in 2014 EDHS. Out of these women 21,762 were successfully interviewed, which represents a response rate of 99.4 percent.
The household response rate exceeded 97 percent in all residential categories, and the response rate for eligible women exceeded 98 percent in all areas.
Dates of collection
Mode of data collection
The 2014 EDHS involved two questionnaires: a household questionnaire and an individual questionnaire. The questionnaires were based on the model survey instruments developed by the MEASURE DHS Phase III project. Questions on a number of topics not covered in the DHS model questionnaires were also included in the 2014 EDHS questionnaires. In some cases, those items were drawn from the questionnaires used for earlier rounds of the DHS in Egypt. In other cases, the questions were intended to collect information on new topics recommended by data users.
The EDHS household questionnaire was used to enumerate all usual members of and visitors to the selected households and to collect information on the socioeconomic status of the households as well as on the nutritional status and anemia levels among women and children. The first part of the household questionnaire collected information on the age, sex, marital status, educational attainment, and relationship to the household head of each household member or visitor. These questions were included in order to provide basic demographic data for the EDHS households. They also served to identify the women who were eligible for the individual interview and the women and children who were eligible for anthropometric measurement and anemia testing. In the second part of the household questionnaire, there were questions on housing characteristics (e.g., the number of rooms, the flooring material, the source of water, and the type of toilet facilities) and on ownership of a variety of consumer goods. Special modules collecting information relating to child labor and discipline were also administered in the household questionnaire. Finally, the height and weight measurements and the results of anemia testing among women and children were recorded in the household questionnaire.
The individual questionnaire was administered to all ever-married women age 15-49 who were usual residents or who were present in the household during the night before the interviewer’s visit. It obtained information on the following topics: respondent’s background, reproduction, contraceptive knowledge and use, fertility preferences and attitudes about family planning, pregnancy and breastfeeding, child immunization and health, child nutrition, husband’s background, women’s work, and health care, Female circumcision, and HIV/AIDS and other sexually transmitted infections.
In addition, a domestic violence section was administered to women in the subsample of households selected for the anemia testing. One eligible woman was selected randomly from each of the households in the subsample to be asked the domestic violence section.
The individual questionnaire also included a monthly calendar covering the period between January 2009 and the interview. A history of the respondent’s marital, fertility, and contraceptive use status during each month in the period was recorded in the calendar. If the respondent reported discontinuing a segment of contraceptive use during a month, the main reason for the discontinuation was noted in the calendar.
Office editing. Staff from the central office were responsible for collecting questionnaires from the teams as soon as interviewing in a cluster was completed. Limited office editing took place by office editors for consistency and completeness, and a few questions (e.g., occupation) were coded in the office prior to data entry. To provide feedback for the field teams, the office editors were instructed to note any problems detected while editing the questionnaires; the problems were reviewed by the senior staff and communicated to the field staff. If serious errors were found in one or more questionnaires from a cluster, the supervisor of the team working in that cluster was notified and advised of the steps to be taken to avoid these problems in the future.
Machine entry and editing. Machine entry and editing began while interviewing teams were still in the field. The data from the questionnaires were entered and edited on microcomputers using the Census and Survey Processing System (CSPro), a software package for entering, editing, tabulating, and disseminating data from censuses and surveys.
Fifteen data entry personnel used twelve microcomputers to process the 2014 EDHS survey data. During the data processing, questionnaires were entered twice and the entries were compared to detect and correct keying errors. The data processing staff completed the entry and editing of data by the end of July 2014.
The estimates from a sample survey are affected by two types of errors: non-sampling errors and sampling errors. Non-sampling errors are the results of mistakes made in implementing data collection and data processing, such as failure to locate and interview the correct household, misunderstanding of the questions on the part of either the interviewer or the respondent, and data entry errors. Although numerous efforts were made during the implementation of the 2014 Egypt Demographic and Health Survey (2014 EDHS) to minimize this type of error, non-sampling errors are impossible to avoid and difficult to evaluate statistically.
Sampling errors, on the other hand, can be evaluated statistically. The sample of respondents selected in the 2014 EDHS is only one of many samples that could have been selected from the same population, using the same design and expected size. Each of these samples would yield results that differ somewhat from the results of the actual sample selected. Sampling errors are a measure of the variability between all possible samples. Although the degree of variability is not known exactly, it can be estimated from the survey results.
Sampling error is usually measured in terms of the standard error for a particular statistic (mean, percentage, etc.), which is the square root of the variance. The standard error can be used to calculate confidence intervals within which the true value for the population can reasonably be assumed to fall. For example, for any given statistic calculated from a sample survey, the value of that statistic will fall within a range of plus or minus two times the standard error of that statistic in 95 percent of all possible samples of identical size and design.
If the sample of respondents had been selected as a simple random sample, it would have been possible to use straightforward formulas for calculating sampling errors. However, the 2014 EDHS sample is the result of a multi-stage stratified design, and, consequently, it was necessary to use more complex formulae. Sampling errors are computed in either ISSA or SAS, using programs developed by ICF Macro. These programs use the Taylor linearization method of variance estimation for survey estimates that are means, proportions or ratios. The Jackknife repeated replication method is used for variance estimation of more complex statistics such as fertility and mortality rates.
The Taylor linearization method treats any percentage or average as a ratio estimate, r = y/x, where y represents the total sample value for variable y, and x represents the total number of cases in the group or subgroup under consideration.
Note: A more detailed description of estimate of sampling error is presented in APPENDIX C of the survey report.
Other forms of data appraisal
Data Quality Tables
- Household age distribution
- Age distribution of eligible and interviewed women
- Completeness of reporting
- Births by calendar years
- Reporting of age at death in days
- Reporting of age at death in months
- Nutritional status of children based on the NCHS/CDC/WHO International Reference Population
Note: See detailed data quality tables in APPENDIX D of the report.
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Version 01 (May 2015). Metadata is excerpted from "Egypt Demographic and Health Survey 2014" Report.