Multiple Indicator Cluster Survey 1999
Suriname, 1999 - 2000
Get Microdata
Reference ID
SUR_1999_MICS_v01_M
Producer(s)
National Steering Committee
Collection(s)
Created on
Jul 19, 2011
Last modified
Apr 11, 2018
Page views
40007
Downloads
988
Identification
Survey ID Number
SUR_1999_MICS_v01_M
Title
Multiple Indicator Cluster Survey 1999
Country/Economy
| Name | Country code |
|---|---|
| Suriname | SUR |
Study type
Multiple Indicator Cluster Survey - Round 2 [hh/mics-2]
Series Information
In 1998, UNICEF embarked on a process of helping countries assess progress for children at end-decade in relation to the World Summit for Children goals (New York, 1990).
Indicators
The list of global indicators being used to assess progress at end-decade was developed through extensive consultation, both within UNICEF, particularly with Programme Division and the Regional Offices, and with WHO, UNESCO and the ILO. The global indicator list can be found in Annex 1 of the Executive Directive EXD/1999-03 dated 23 April 1999.
Mid decade experience
There are numerous sources of data for measuring progress at country level, but many either do not function well enough to give current and quality data, or do not provide the data required for assessing progress. Household surveys are capable of filling many of these data gaps. The mid-decade assessment led to 100 countries collecting data using the Multiple Indicator Cluster Surveys (MICS), household surveys developed to obtain specific mid-decade data, or via MICS questionnaire modules carried by other surveys. By 1996, 60 developing countries had carried out stand-alone MICS, and another 40 had incorporated some of the MICS modules into other surveys. The mid-decade questionnaire and manual, the countries where a standalone MICS was implemented.
The end-decade assessment
The end-decade MICS questionnaire and manual have been developed specifically to obtain the data for 63 of the 75 end-decade indicators. These draw heavily on experiences with the mid-decade MICS and the subsequent MICS evaluation. The content is organized into question modules, for countries to adopt or omit according to the data already available. The development of the end-decade MICS questionnaire and manual has drawn on an even wider spread of organizations than the mid-decade MICS. They include WHO, UNESCO, ILO, UNAIDS, the United Nations Statistical Division, CDC Atlanta, MEASURE (USAID), Johns Hopkins University, Columbia University, the London School of Hygiene and Tropical Medicine, and others.
Indicators
The list of global indicators being used to assess progress at end-decade was developed through extensive consultation, both within UNICEF, particularly with Programme Division and the Regional Offices, and with WHO, UNESCO and the ILO. The global indicator list can be found in Annex 1 of the Executive Directive EXD/1999-03 dated 23 April 1999.
Mid decade experience
There are numerous sources of data for measuring progress at country level, but many either do not function well enough to give current and quality data, or do not provide the data required for assessing progress. Household surveys are capable of filling many of these data gaps. The mid-decade assessment led to 100 countries collecting data using the Multiple Indicator Cluster Surveys (MICS), household surveys developed to obtain specific mid-decade data, or via MICS questionnaire modules carried by other surveys. By 1996, 60 developing countries had carried out stand-alone MICS, and another 40 had incorporated some of the MICS modules into other surveys. The mid-decade questionnaire and manual, the countries where a standalone MICS was implemented.
The end-decade assessment
The end-decade MICS questionnaire and manual have been developed specifically to obtain the data for 63 of the 75 end-decade indicators. These draw heavily on experiences with the mid-decade MICS and the subsequent MICS evaluation. The content is organized into question modules, for countries to adopt or omit according to the data already available. The development of the end-decade MICS questionnaire and manual has drawn on an even wider spread of organizations than the mid-decade MICS. They include WHO, UNESCO, ILO, UNAIDS, the United Nations Statistical Division, CDC Atlanta, MEASURE (USAID), Johns Hopkins University, Columbia University, the London School of Hygiene and Tropical Medicine, and others.
Abstract
The 2000 Suriname Multiple Indicator Cluster Survey (Suriname MICS 2000) has as its primary objectives:
- To provide internationally comparable up-to-date information for assessing the situation of children and women in Suriname at the end of the decade;
- To furnish data needed as input to the National Plan of Suriname on children;
- To contribute to the improvement of data and monitoring systems in Suriname and to technical expertise in the design, implementation, and analysis of such systems.
- To provide internationally comparable up-to-date information for assessing the situation of children and women in Suriname at the end of the decade;
- To furnish data needed as input to the National Plan of Suriname on children;
- To contribute to the improvement of data and monitoring systems in Suriname and to technical expertise in the design, implementation, and analysis of such systems.
Kind of Data
Sample survey data [ssd]
Unit of Analysis
Household, Women, Children.
Version
Version Description
Data downloaded from MICS2 website (www.childinfo.org) on May 24, 2011
Scope
Notes
HOUSEHOLD QUESTIONNAIRE: Household information Panel, Household Listing, Education, Water and Sanitation, (Addition Household Income/expenditure)
WOMEN QUESTIONNAIRE: Women's information Panel, Child Mortality, Maternal and Newborn Health, Contraceptive use, HIV/AIDS.
CHILDREN QUESTIONNAIRE: Birth Registration and Early Learning, Breast-feeding, Care of Illness, Malaria, Immunization, Anthropometry.
WOMEN QUESTIONNAIRE: Women's information Panel, Child Mortality, Maternal and Newborn Health, Contraceptive use, HIV/AIDS.
CHILDREN QUESTIONNAIRE: Birth Registration and Early Learning, Breast-feeding, Care of Illness, Malaria, Immunization, Anthropometry.
Coverage
Geographic Coverage
National
Producers and sponsors
Primary investigators
| Name |
|---|
| National Steering Committee |
Producers
| Name | Role |
|---|---|
| United Nations Children's Fund | Technical Advice |
| Ministry of Social Affairs and Housing | |
| Ministry of Planning and Development Cooperation | |
| Ministry of Labour | |
| Ministry of Health | |
| Ministry of Education | |
| Medical Mission | |
| Regional Health Services | |
| Bureau of Public Health | |
| University of Suriname | |
| General Bureau of Statistics |
Funding Agency/Sponsor
| Name | Abbreviation |
|---|---|
| United Nations Children's Fund | UNICEF |
Sampling
Sampling Procedure
The sample for the Suriname MICS 2000 was designed to provide estimates of health indicators at several levels. The sample was stratified into three strata: urban, rural, and interior. The urban and rural strata are comprised of districts located in the coastal area while the interior is comprised of districts in the rain forest populated mainly by maroons (descendants of escaped slaves) and indigenous people. The sampling frame was composed of 449 'stemburo's' (the smallest administrative divisions used in national elections). The sample was selected in two stages. At the first stage, 123 'stemburo's (clusters) were selected with probability proportional to size. Within the 123 selected clusters, 4,671 households were identified by drawing a systematic sample. It is important to stress that the procedure to identify and select households in the urban and rural strata differs from the procedure used in most clusters of the interior stratum. In all 108 urban and rural clusters as well as in 4 interior clusters (2 in district Para and 2 in district Marowijne) dwellings were selected prior to the identification of households. In the remaining 11 clusters of the Brokopondo and Sipaliwini districts in the interior, female persons on an up to date patient lists with female representatives of family units of the Medical Mission were selected prior to the identification of households, rather than dwellings.
More detailed information on sampling procedure is available in "Section II.2 Sample Design" of the report.
More detailed information on sampling procedure is available in "Section II.2 Sample Design" of the report.
Response Rate
In a sample of 4,397 dwellings, 4,692 households were selected of which 4,585 were found to be occupied . Of these 4,585 households, 4,293 were successfully interviewed for a household response rate of 93.6 percent. In the interviewed households, 5,055 eligible women (age 12-49) were identified. Of these, 4,555 were successfully interviewed, yielding a response rate of 90.1 percent. In addition, 1961 children under age 5 were listed in the household questionnaire. Of these, questionnaires were completed for 1,885 for a response rate of 96.1 percent. Of the three units (households, women and children) women have the lowest response rate. This is mainly due to working women who were not at home during the first and second interviewers’ contact. From the point of view of the country stratification, the interior has the highest and the urban strata the lowest response rate for each of the three research units. Analysis of the non-response at the household level shows that the largest non-response category is ‘not at home’ by 4.2 percent of all the households found. In the urban strata the proportion is highest by 5.7 percent and in the interior the proportion is lowest by 0.4 percent. There is a fairly low overall percentage of 2.2 percent refusals, which is also lowest for the interior by 0.6 percent and highest for the urban strata by 3.2 percent.
Data Collection
Dates of Data Collection
| Start | End |
|---|---|
| 1999-11 | 2000-04 |
Data Collection Mode
Face-to-face [f2f]
Data Collection Notes
A total of 65 interviewers were recruited from areas where they would eventually conduct the fieldwork. The field staff was initially trained in November 1999 with additional training in December. The field workers for the Interior were health assistants in the Medical Mission who were trained in January 2000. In the urban and rural areas, 5 teams collected the data. Each team consisted of 3-5 interviewers, one fie ld editor and a supervisor/driver. In the Interior, 4 small teams of 1-2 interviewers did interviewing. Fieldwork in the Interior was supervised by the MICS Coordinator with support of a member of the Technical Committee who works in health management in the Interior. The fieldwork began in November 1999 and concluded in April 2000.
Questionnaires
Questionnaires
In addition to a household questionnaire, questionnaires were administered in each household for women aged 12- 49 and children under age five. The questionnaires are based on the MICS model questionnaire excluding the child labor, salt iodization, tetanus toxoid, and Vitamin A modules. A few questions on household expenditure and income were added to estimate income poverty. From the MICS model English version, the questionnaires were adapted and translated into two languages: Dutch and Sranan (Suriname’s lingua franca). The questionnaires were pretested during November 1999. Based on the results of the pretest, modifications were made to the wording and translation of the questionnaires.
Data Processing
Other Processing
A total of 10 data entry typists were recruited and trained in a tree-day training course using the software program Epi-Info. Data were entered on 5 microcomputers. In order to ensure quality control, all questionnaires were double entered and internal consistency checks were performed. Data processing began in February 2000 and finished in April 2000.
Access policy
Contacts
Access conditions
Dataset available free of charge to registered users (www.childinfo.org).
MICS2 has put greater efforts in not only properly documenting the results published in the MICS2 country reports, but also to maximize the use of micro data sets via documentation and dissemination. For those MICS2 countries that granted UNICEF direct access to the micro data sets and documentation, a rigorous process was completed to ensure internal and external consistency, basic standards of data quality, corresponding documentation and, standardization of variable and value labels across countries.
MICS2 has put greater efforts in not only properly documenting the results published in the MICS2 country reports, but also to maximize the use of micro data sets via documentation and dissemination. For those MICS2 countries that granted UNICEF direct access to the micro data sets and documentation, a rigorous process was completed to ensure internal and external consistency, basic standards of data quality, corresponding documentation and, standardization of variable and value labels across countries.
Citation requirements
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 country, acronym and year of implementation)
- the survey reference number
- the source and date of download of the data files (for datasets obtained on-line)
- the Identification of the Primary Investigator
- the title of the survey (including country, acronym and year of implementation)
- the survey reference number
- the source and date of download of the data files (for datasets obtained on-line)
Access authority
| Name | URL | |
|---|---|---|
| United Nations Children's Fund (UNICEF) | childinfo@unicef.org | www.childinfo.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_WB_SUR_1999_MICS_v01_M
Producers
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Development Economics Data Group | DECDG | World Bank | Documentation of the DDI |
Date of Metadata Production
2011-06-07
DDI Document version
Version 01 (June 2011) - Prepared by IHSN/World Bank Microdata Library