The JPFHS is part of the worldwide Demographic and Health Surveys Program, which is designed to collect data on fertility, family planning, and maternal and child health.
As in the previous Demographic and Health Surveys (DHS) in Jordan, conducted in 1990, 1997 and 2002, the primary objective of the Jordan Population and Family Health Survey 2007 (JPFHS) is to provide reliable estimates of demographic parameters, such as fertility, mortality, family planning, fertility preferences, as well as maternal and child health and nutrition, that can be used by program managers and policy makers to evaluate and improve existing programs. In addition, a subsample of women and children were tested for anemia and anthropometry (height and weight). The JPFHS data will be useful to researchers and scholars interested in analyzing demographic trends in Jordan, as well as those conducting comparative, regional or cross-national studies.
The content of the 2007 JPFHS was significantly expanded from the 2002 survey to include additional questions on women’s status, reproductive health, domestic violence, and early childhood development.
Kind of data
Sample survey data
Unit of analysis
- Children under five years
- Women age 15-49
Producers and sponsors
Department of Statistics (DoS)
Macro International Inc.
United States Agency for International Development
United Nations Population Fund
United Nations Children's Fund
The 2007 JPFHS sample was designed to produce reliable estimates of major survey variables for the country as a whole, urban and rural areas, each of the 12 governorates, and badia and non-badia areas. In order to ensure comparability with the previous surveys, the sample was designed to provide estimates for the three regions, North, Central and South. The grouping of the governorates into the regions is as follows: the North region consists of Irbid, Jarash, Ajloun, and Mafraq; the Central region consists of Amman, Madaba, Balqa and Zarqa; and the South region consists of Karak, Tafielah, Ma'an and Aqaba.
The 2007 JPFHS sample was designed using the 2004 Population and Housing Census as the sampling frame. The sampling frame was stratified by governorate, major cities, other urban, and rural within each stratum. A two-stage sampling procedure was employed. First, blocks were selected systematically as primary sampling units (PSUs) with a probability proportional to the size of the PSU. A total of 930 PSUs were selected at this stage. In the second stage, a fixed number of 16 households were selected as final sampling units in each PSU, resulting in a sample size of about 15,000 households. Blood testing (anemia) and the measurements of height and weight were conducted among eligible individuals in the selected households in 465 PSUs (half of the sample). In addition, 310 selected PSUs (one third of the sample) which were not selected for the above measurements were chosen for collecting data on domestic violence in the household.
Note: See detailed description of sample design in APPENDIX A of the survey report.
A total of 14,880 households were selected for the survey from the sampling frame; among those selected households, 14,748 households were found. Of those households, 14,564 (99 percent) were successfully interviewed. In those households, 11,113 eligible women were identified, and complete interviews were obtained with 10,876 of them (98 percent of all eligible women). The overall response rate (the households response rate multiplied by the eligible woman response rate) was about 97 percent.
Note: See summarized response rates by place of residence in Table 1.1 of the survey report.
Dates of collection
Mode of data collection
The 2007 JPFHS used two questionnaires – namely, the Household Questionnaire and the Individual Questionnaire. Both questionnaires were developed in English and Arabic, based on the questionnaires used in the 2002 survey, in collaboration with Macro International Inc. The Household Questionnaire was used to list all usual members of the sampled households and to obtain information on each household member’s age, sex, educational attainment, relationship to the head of household, and marital status. In addition, questions were included on the socio-economic characteristics of the household, such as source of water, sanitation facilities, and the availability of durable goods. The Household Questionnaire was also used to identify women who are eligible for the individual interview: ever-married women aged 15-49. In addition, in half of the households, all women aged 15-49 and children under five years of age were measured to determine nutritional status and tested for anemia.
The household and women’s questionnaires were based on the DHS standard Questionnaire. Additions and modifications to the model questionnaire were made in order to provide detailed information specific to Jordan, using experience gained from the 1990, 1997 and 2002 Jordan Population and Family Health Surveys. For each ever-married woman aged 15-49, information on the following topics was collected:
- Respondent’s general background
- Birth history
- Family planning
- Pregnancy, postnatal health care and breastfeeding
- Children immunization and children and mothers nutrition.
- Fertility preferences
- Husband’s background and respondent’s employment
- AIDS and STIs
- Other health issues
- Domestic violence
- Early childhood development
The last two sections of the questionnaire (domestic violence and early childhood development) use and discontinuation, and marriage during the five years prior to the survey was collected using a monthly calendar.
Fieldwork and data processing activities overlapped. After two weeks of data collection, and after field editing of questionnaires for completeness and consistency, the questionnaires for each cluster were packaged together and sent to the central office in Amman where they were registered and stored. Special teams were formed to carry out office editing and coding of the open-ended questions.
Data entry and verification started after two weeks of office data processing. The process of data entry, including one hundred percent re-entry, editing and cleaning, was done by using PCs and the CSPro (Census and Survey Processing) computer package, developed specially for such surveys. The CSPro program allows data to be edited while being entered. Data processing operations were completed by the end of December 2007. A data processing specialist from Macro International made a trip to Jordan in January 2008 to follow up data editing and cleaning and to work on the tabulation of results for the survey preliminary report, that was published in February 2008. The tabulations for the present final report were completed in May 2008.
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 2007 Jordan Population and Family Health Survey (2007 JPFHS) 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 2007 JPFHS 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.
A 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 2007 JPFHS sample is the result of a multi-stage stratified design, and, consequently, it was necessary to use more complex formulae. The computer software used to calculate sampling errors for the 2007 JPFHS is a Macro SAS procedure. This procedure used the Taylor linearization method of variance estimation for survey estimates that are means or proportions. The Jackknife repeated replication method is used for variance estimation of more complex statistics such as fertility and mortality rates.
Note: See detailed description of sample design in APPENDIX B 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
Note: See detailed tables in APPENDIX C of the survey report.
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 acronym and year of implementation)
- the survey reference number
- the source and date of download
Department of Statistics (DOS), Jordan and Macro International Inc., Calverton, Maryland USA. Jordan Demographic and Health Survey/Population and Family Health Survey 2007. Ref. JOR_2007_DHS_v01_M. Dataset downloaded from www.measuredhs.com on [date].
Disclaimer and copyrights
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.