ZWE_1999_DHS_v01_M
Demographic and Health Survey 1999
Name | Country code |
---|---|
Zimbabwe | ZWE |
Demographic and Health Survey (standard) - DHS IV
The 1994 Zimbabwe Demographic and Health Survey (ZDHS) is the third DHS survey carried out in Zimbabwe. Previous DHS were conducted in 1988, 1994 and 1999.
Sample survey data
The 1999 Zimbabwe Demographic and Health Survey covers the following topics:
The 1999 Zimbabwe Demographic and Health Survey (ZDHS) is a nationally representative survey that was implemented by the Central Statistical Office (CSO) from August to November 1999. The survey was conducted in all of the ten provinces of Zimbabwe.
The population covered by the 1994 ZDHS is defined as the universe of all women age 15-49 in Zimbabwe and all men age 15-54 living in the household.
Name |
---|
Central Statistical Office |
Name | Role |
---|---|
Macro International Inc. | Technical assistance |
Name | Role |
---|---|
U.S. Agency for International Development | Funding |
United Nations Children's Fund | Funding |
Name | Role |
---|---|
Zimbabwe National Family Planning Council (ZNFPC) | Contributor to the design, implementation, and analysis |
Department of Population Studies of the University of Zimbabwe (UZ) | Contributor to the design, implementation, and analysis |
National AIDS Coordinating Programme (NACP) | Contributor to the design, implementation, and analysis |
Ministry of Health and Child Welfare (MOH&CW) | Contributor to the design, implementation, and analysis |
The sampling frame used for the 1999 ZDHS was the 1992 Zimbabwe Master Sample (ZMS92) developed by the CSO after the 1992 Population Census. The same enumeration areas (EAs) of the 1994 ZDHS were used in the 1999 ZDHS. The ZMS92 included 395 enumeration areas stratified by province and land use sector. For purposes of the ZDHS, 18 sampling strata were identified: urban and rural strata for each of the eight provinces, and Harare (including Chitungwiza) and Bulawayo provinces, which are exclusively urban strata.
The sample for the 1999 ZDHS was selected in two stages. In the first stage, 230 EAs were selected with equal probability. Then, within each of these 230 EAs, a complete household listing and mapping exercise was conducted in May 1999, forming the basis for the second-stage sampling. For the listing exercise, permanent CSO enumerators were trained in listing and cartographic methods. All private households were listed. The list excluded people living in institutional households (army barracks, hospitals, police camps, etc.).
Households to be included in the ZDHS were selected from the EA household lists, with the sample being proportional to the total number of households in the EA. All women age 15-49 years in those households were eligible to be interviewed in the ZDHS. Furthermore, a 50 percent systematic subsample of these households was selected, within which interviews with all males age 15-54 years were to be conducted as well.
Since the objective of the survey was to produce estimates of specific demographic and health indicators for each of the 10 provinces, the sample design allowed for an oversample of smaller strata. The overall target sample was 6,208 women and 2,970 men. The ZDHS sample is not self-weighting at the national level (i.e., weights are required to estimate national-level indicators).
A total of 7,010 households were selected in the sample, of which 6,512 were currently occupied. The shortfall was largely due to some households no longer existing in the sampled clusters at the time of the interview. Of the 6,512 existing households, 6,369 were interviewed, yielding a household response rate of 97.8 percent.
In the interviewed households, 6,208 eligible women were identified and of these, 5,907 were interviewed, yielding a response rate of 95.2 percent. In a 50 percent subsample of households, 2,970 eligible men were identified, of which 2,609 were successfully interviewed (87.8 percent response). The principal reason for nonresponse among both eligible men and women was the failure to find them at home despite repeated visits to the household. The lower response rate among men than among women was due to the more frequent and longer absences of men.
Four types of questionnaires were used for the ZDHS: the Household Questionnaire, the Women's Questionnaire, the Men's Questionnaire, and the Cluster Location form. The contents of these questionnaires were based on the DHS Model “A” Questionnaire, which is designed for use in countries with moderate to high levels of contraceptive use.
a) The Household Questionnaire was used to list all the usual members and visitors of selected households. Some basic information was collected on characteristics of each person listed, including his/her age, sex, education, and relationship to the head of the household. The main purpose of the Household Questionnaire was to identify women and men who were eligible for the individual interview. The Household Questionnaire also collected information on characteristics of the household's dwelling units, such as the source of water, type of toilet facilities, materials used for the floor of the house, and ownership of various consumer and durable goods.
b) The Women's Questionnaire was used to collect information on women age 15-49 years. These women were asked questions on the following topics:
Background characteristics (education, residential history, etc.) Reproductive history Knowledge and use of family planning methods Fertility preferences Antenatal and delivery care Breastfeeding and weaning practices Vaccinations and health of children under age five Marriage and sexual activity Woman's status and husband's occupation Awareness and behaviour regarding AIDS and other sexually transmitted diseases Adult mortality including maternal mortality.
As in the 1994 ZDHS, a “calendar” was used in the 1999 ZDHS to collect information on the respondent's history since January 1994 concerning reproduction, contraceptive use, reasons for discontinuation of contraception, marriage, and migration. In addition, interviewing teams measured the height and weight of all children under the age of five years and of all women age 15-49.
c) The Men's Questionnaire was administered to all men age 15-54 living in every second household in the ZDHS sample (i.e., a 50 percent sample). The Men's Questionnaire collected much of the same information found in the Women's Questionnaire, but was shorter because it did not contain questions on reproductive history and maternal and child health.
d) CSO Provincial Supervisors administered the Cluster Location Form. This exercise was carried out in January 2000. Global Positioning System (GPS) receivers were used to calculate the position (in terms of latitude and longitude) of each of the 230 clusters in the ZDHS. These positions can be used to link other data about Zimbabwe (e.g., average rainfall) to the information collected during the 1999 ZDHS.
Start | End |
---|---|
1999-09 | 1999-12 |
Name |
---|
Central Statistical Office |
During the training period, field editors and team supervisors were provided with additional training in methods of field editing, data quality control procedures, and coordination of fieldwork.
Six permanent senior CSO staff coordinated and supervised fieldwork activities.
TRAINING
The ZDHS questionnaires were pretested in April 1999. Eleven qualified nurses and university graduates were trained to implement the pretest during a two-week training period. Three language versions of the questionnaires were produced: Shona, Ndebele, and English. The pretest fieldwork was conducted over a one-week period in areas surrounding Bulawayo and Gweru, where both Shona and Ndebele households could easily be identified. Approximately 150 pretest interviews were conducted, debriefing sessions were subsequently held with the pretest field staff, and modifications to the questionnaire were made based on lessons drawn from the exercise. Pretest interviewers were retained to serve as field editors and team supervisors during the main survey.
Training of field staff for the main survey was conducted over a four-week period, in July 1999. Permanent CSO staff, as well as staff of ZNFPC, UZ, and Macro International Inc., trained 90 interviewer trainees, most of whom were trained nurses or university graduates. The training course consisted of instruction in general interviewing techniques, field procedures, a detailed review of items on the questionnaires, instruction and practice in weighing and measuring children, mock interviews between participants in the classroom, and practice interviews with real respondents in areas outside the 1999 ZDHS sample points. Trainees who performed satisfactorily in the training programme were selected as interviewers, while the remainder were retained to assist in office operations. During this period, field editors and team supervisors were provided with additional training in methods of field editing, data quality control procedures, and coordination of fieldwork.
FIELDWORK
Ten interviewing teams carried out the fieldwork for the 1999 ZDHS; one team was designated for each province. Each team consisted of one team supervisor, one field editor, five or six female interviewers, one or two male interviewers, and one driver. In total, there were 10 team supervisors, 10 field editors, 54 female interviewers, 12 male interviewers, 7 data capture clerks, and 10 drivers. Six permanent senior CSO staff coordinated and supervised fieldwork activities. Data collection took place over a four-month period, from 15 August to 30 November 1999.
All questionnaires for the 1999 ZDHS were returned to the CSO for data processing, which consisted of office editing, coding of open-ended questions, data entry, and editing computer identified errors. The data were processed on five microcomputers. Data entry and editing were accomplished using the computer programme Integrated System for Survey Analysis (ISSA). Data processing commenced on 15 September 1999 and was completed on 21 January 2000.
Sampling errors, on the other hand, can be evaluated statistically. The sample of respondents selected in the 1999 ZDHS 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 1999 ZDHS sample is the result of a two-stage stratified design, and consequently, it was necessary to use more complex formulae. The computer software used to calculate sampling errors for the 1999 ZDHS is the ISSA Sampling Error Module (ISSAS). This module 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.
Sampling errors for the 1999 ZDHS are calculated for selected variables considered to be of primary interest. The results are presented in this appendix for the country as a whole. For each variable, the type of statistic (mean, proportion, or rate) and the base population are given in Table
In general, the relative standard error for most estimates for the country as a whole is small, except for estimates of very small proportions.
The confidence interval (e.g., as calculated for Children ever born to women age 15-49) can be interpreted as follows: the overall average from the national sample is 2.3 and its standard error is .04. Therefore, to obtain the 95 percent confidence limits, one adds and subtracts twice the standard error to the sample estimate, i.e., 2.3±.04. There is a high probability (95 percent) that the true average number of children ever born to all women age 15 to 49 is between 2.2 and 2.4.
Nonsampling 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 1999 ZDHS to minimize this type of error, nonsampling errors are impossible to avoid and difficult to evaluate statistically.
Name | Affiliation | URL | |
---|---|---|---|
MEASURE DHS | ICF International | www.measuredhs.com | archive@measuredhs.com |
Use of the dataset must be acknowledged using a citation which would include:
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.
Name | URL | |
---|---|---|
General Inquiries | info@measuredhs.com | www.measuredhs.com |
Data and Data Related Resources | archive@measuredhs.com | www.measuredhs.com |
Central Statistical Office (CSO) | http://www.zimstat.co.zw/ |
DDI_ZWE_1999_DHS_v01_M
Name | Role |
---|---|
World Bank, Development Economics Data Group | Generation of DDI documentation |
2012-03-08
This site uses cookies to optimize functionality and give you the best possible experience. If you continue to navigate this website beyond this page, cookies will be placed on your browser. To learn more about cookies, click here.