Multiple indicator cluster survey 2019-2020
West Bank and Gaza, 2019 - 2020
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Reference ID
PSE-PCBS-MICS-2019-2020-V1.0
Producer(s)
Palestinian Central Bureau of Statistics
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Jan 17, 2022
Last modified
May 25, 2023
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Identification
Survey ID Number
PSE-PCBS-MICS-2019-2020-V1.0
Title
Multiple indicator cluster survey 2019-2020
Translated Title
المسح العنقودي متعدد المؤشرات 2019-2020
Country
| Name | Country code |
|---|---|
| Palestine | PSE |
Study type
Multiple Indicator Cluster Survey - Round 3 [hh/mics-3]
Series Information
The Multiple Indicator Cluster Survey, Round 6 (MICS6) is the sixth round of MICS surveys, previously conducted 2000 (MICS2),2010 (MICS4) and 2014 (MICS5). Many questions and indicators are consistent and compatible with the prior rounds of MICS5, MICS4, although there have been a number of changes in definition of indicators between rounds. Details can be found by reviewing the indicator definitions.
Abstract
The Multiple Indicator Cluster Survey (MICS) is an international household survey programme developed and supported by UNICEF. MICS is designed to collect estimates of key indicators that are used to assess the situation of children and women. Over the past 20 years MICS has evolved to respond to changing data needs, expanding from 28 indicators in the first round to 200 indicators in the current sixth round, and becoming a key source of data on child protection, early childhood education, and a major source of data on child health and nutrition. In addition to being a data collection tool to generate data for monitoring the progress towards national goals and global commitments aimed at promoting the welfare of children, MICS has provided valuable data for MDG monitoring being a major source of data for the UN Secretary General's Final Millennium Development Goals Progress Report.
MICS was already covering some of the SDG indicators that are household-based. After undergoing rigorous methodological and validation work to broaden the scope of the tools and include new topics that reflect SDG indicators and emerging issues in the 2030 Agenda for Sustainable Development context.
MICS was already covering some of the SDG indicators that are household-based. After undergoing rigorous methodological and validation work to broaden the scope of the tools and include new topics that reflect SDG indicators and emerging issues in the 2030 Agenda for Sustainable Development context.
Kind of Data
Sample survey data [ssd]
Unit of Analysis
Households (defined as a group of persons who usually live and eat together).
Household members (defined as members of the household who usually live in the household, which may include persons who did not sleep in the household the previous night; it does not include visitors who slept in the household the previous night but who do not usually live in the household).
Women aged 15-49 years
Children aged 0-4 years
Children aged 5-17 years
Household members (defined as members of the household who usually live in the household, which may include persons who did not sleep in the household the previous night; it does not include visitors who slept in the household the previous night but who do not usually live in the household).
Women aged 15-49 years
Children aged 0-4 years
Children aged 5-17 years
Version
Version Description
V1.0: data used for preparation of final report tabulations
Version Date
2021-01-01
Scope
Notes
The Palestinian Multiple Indicator Cluster Survey included the following modules in the questionnaires:
HOUSEHOLD QUESTIONNAIRE :Household Information Panel, Household listing, education, household characteristics, social transfers, household energy use, water and sanitation, handwashing, and salt iodization.
WATER QUALITY TESTING QUESTIONNAIRE : water quality test and results.
WOMEN'S QUESTIONNAIRE 15-49 YEARS: Woman's Information Panel, Woman's background, mass media and ICT, marriage, fertility/birth history, desire for last birth, maternal and newborn health, post-natel health checks, contraception, unmet need, attitudes toward domestic violence, victimization, adult function, HIV/AIDS knowledge, tobacco, and life satisfaction.
QUESTIONNAIRE FOR CHILDREN UNDER FIVE : under five Child Information Pane , under five background, birth registration, early childhood development, child discipline, child functioning , breastfeeding and dietary intake, immunization, care of illness and anthropometry.
QUESTIONNAIRE FOR CHILDREN AGE 5-17 years: 5-17 Child Information Pane , child's background, child labour, child discipline, child functioning, parental involvement, foundational learning skills.
HOUSEHOLD QUESTIONNAIRE :Household Information Panel, Household listing, education, household characteristics, social transfers, household energy use, water and sanitation, handwashing, and salt iodization.
WATER QUALITY TESTING QUESTIONNAIRE : water quality test and results.
WOMEN'S QUESTIONNAIRE 15-49 YEARS: Woman's Information Panel, Woman's background, mass media and ICT, marriage, fertility/birth history, desire for last birth, maternal and newborn health, post-natel health checks, contraception, unmet need, attitudes toward domestic violence, victimization, adult function, HIV/AIDS knowledge, tobacco, and life satisfaction.
QUESTIONNAIRE FOR CHILDREN UNDER FIVE : under five Child Information Pane , under five background, birth registration, early childhood development, child discipline, child functioning , breastfeeding and dietary intake, immunization, care of illness and anthropometry.
QUESTIONNAIRE FOR CHILDREN AGE 5-17 years: 5-17 Child Information Pane , child's background, child labour, child discipline, child functioning, parental involvement, foundational learning skills.
Topics
| Topic | Vocabulary | URI |
|---|---|---|
| childbearing, family planning and abortion [8.2] | CESSDA | Link |
| general health [8.4] | CESSDA | Link |
| health care and medical treatment [8.5] | CESSDA | Link |
| nutrition [8.7] | CESSDA | Link |
| specific diseases and medical conditions [8.9] | CESSDA | Link |
| drug abuse, alcohol and smoking [8.3] | CESSDA | Link |
| natural resources and energy [9.3] | CESSDA | Link |
| plant and animal distribution [9.4] | CESSDA | Link |
| housing [10.1] | CESSDA | Link |
| children [12.1] | CESSDA | Link |
| family life and marriage [12.5] | CESSDA | Link |
| social behaviour and attitudes [13.6] | CESSDA | Link |
| fertility [14.2] | CESSDA | Link |
| morbidity and mortality [14.4] | CESSDA | Link |
| basic skills education [6.1] | CESSDA | Link |
| compulsory and pre-school education [6.2] | CESSDA | Link |
Coverage
Geographic Coverage
The survey is nationally representative and covers the whole of Palestine and The Data are representative at region level (West Bank, Gaza Strip), locality type (urban, rural, camp) and governorates.
Universe
The survey covered a household questionnaire to collect basic demographic information on all household members (usual residents), the household, and the dwelling; a water quality testing questionnaire administered in 5 households selected; 4 for testing and 1 for blank testing, in each cluster of the sample; a questionnaire for individual women administered in each household to all women age 15-49 years; an under-5 questionnaire, administered to mothers (or caretakers) of all children under 5 living in the household; and a questionnaire for children age 5-17 years, administered to the mother (or caretaker) of one randomly selected child age 5-17 years living in the household.
Producers and sponsors
Primary investigators
| Name | Affiliation |
|---|---|
| Palestinian Central Bureau of Statistics | State of Palestine |
Producers
| Name | Affiliation | Role |
|---|---|---|
|
UNICEF, |
UNICEF | Technical assistance |
Funding Agency/Sponsor
| Name | Abbreviation | Role |
|---|---|---|
| UNICEF | UNICEF | Funding of survey implementation |
| UNFPA | UNFPA | Funding of survey implementation |
Other Identifications/Acknowledgments
| Name | Affiliation | Role |
|---|---|---|
| United Nations Children’s Fund (UNICEF) | UNICEF | financial and technical support |
| United Nations Population Fund | UNFPA | financial and technical support |
Sampling
Sampling Procedure
After determining the sample size which equals 10,080 households, we selected a probability sample, which is multi-stage stratified cluster sample as following:
First stage: selecting sample of clusters (enumeration areas), using PPS without replacement method to get 420 enumeration areas from the total EAs frame
Second stage: selecting 24 households from each EA selected in the first stage.
Third stage: Select the targeting person.
- Sample Strata
The population was divided by:
1- Governorate: 16 governorates, 11 in the West Bank, and 5 in the Gaza Strip. The process of publishing at the level of Jerusalem J1 has been taken into consideration.
2- locality type (urban, rural, refugee camps).
First stage: selecting sample of clusters (enumeration areas), using PPS without replacement method to get 420 enumeration areas from the total EAs frame
Second stage: selecting 24 households from each EA selected in the first stage.
Third stage: Select the targeting person.
- Sample Strata
The population was divided by:
1- Governorate: 16 governorates, 11 in the West Bank, and 5 in the Gaza Strip. The process of publishing at the level of Jerusalem J1 has been taken into consideration.
2- locality type (urban, rural, refugee camps).
Deviations from the Sample Design
No major deviations from the original sample design were made. All sample enumeration areas were accessed and successfully interviewed with good response rates.
Response Rate
10,080 households selected for the sample, 9,751 were found occupied. Of these, 9,326 were successfully interviewed for a household response rate of 95.6 percent.
The Water Quality Testing Questionnaire was administered to 1,909 randomly selected households in each cluster. Of these, 1,848 were successfully tested for household drinking water yielding a response rate of 96.8 percent. Also 1,819 were successfully tested for source drinking water quality yielding a response rate of 95.3 percent.
In the interviewed households, 11,464 women (age 15-49 years) were identified. Of these, 11,135 were successfully interviewed, yielding a response rate of 97.1 percent within the interviewed households.
There were 6,394 children under age five listed in the household questionnaires. Questionnaires were completed for 6,328 of these children, which corresponds to a response rate of 99.0 percent within interviewed households.
A sub-sample of children age 5-17 years was used to administer the questionnaire for children age 5-17. Only one child has been selected randomly in each household interviewed, and there were 14,329 children age 5-17 years listed in the household questionnaires. Of these, 5,456 children were selected, and questionnaires were completed for 5,360 which correspond to a response rate of 98.2 percent within the interviewed households.
Overall response rates of 92.9, 94.7, and 94.0 percent are calculated for the individual interviews of women, under-5s, and children age 5-17 years, respectively.
The Water Quality Testing Questionnaire was administered to 1,909 randomly selected households in each cluster. Of these, 1,848 were successfully tested for household drinking water yielding a response rate of 96.8 percent. Also 1,819 were successfully tested for source drinking water quality yielding a response rate of 95.3 percent.
In the interviewed households, 11,464 women (age 15-49 years) were identified. Of these, 11,135 were successfully interviewed, yielding a response rate of 97.1 percent within the interviewed households.
There were 6,394 children under age five listed in the household questionnaires. Questionnaires were completed for 6,328 of these children, which corresponds to a response rate of 99.0 percent within interviewed households.
A sub-sample of children age 5-17 years was used to administer the questionnaire for children age 5-17. Only one child has been selected randomly in each household interviewed, and there were 14,329 children age 5-17 years listed in the household questionnaires. Of these, 5,456 children were selected, and questionnaires were completed for 5,360 which correspond to a response rate of 98.2 percent within the interviewed households.
Overall response rates of 92.9, 94.7, and 94.0 percent are calculated for the individual interviews of women, under-5s, and children age 5-17 years, respectively.
Weighting
The Palestinian MICS sample is not self-weighting. Essentially, by allocating equal numbers of households to each of the regions, different sampling fractions were used in each region since the sizes of the regions varied. For this reason sample weights were calculated and these were used in the subsequent analyses of the survey data.
Since the number of households in each enumeration area (PSU) from the 2017 Census frame used for the first stage selection and the updated number of households in the enumeration area from the listing are generally different, individual overall probabilities of selection for households in each sample enumeration area (cluster) were calculated.
After the completion of fieldwork, response rates were calculated for each sampling stratum. These were used to adjust the sample weights calculated for each cluster.
Sample weights were appended to all data sets and analyses were performed by weighting households, women, under-5s, or child 5-17 years old with these sample weights.
Since the number of households in each enumeration area (PSU) from the 2017 Census frame used for the first stage selection and the updated number of households in the enumeration area from the listing are generally different, individual overall probabilities of selection for households in each sample enumeration area (cluster) were calculated.
After the completion of fieldwork, response rates were calculated for each sampling stratum. These were used to adjust the sample weights calculated for each cluster.
Sample weights were appended to all data sets and analyses were performed by weighting households, women, under-5s, or child 5-17 years old with these sample weights.
Data Collection
Dates of Data Collection
| Start | End |
|---|---|
| 2019-12-01 | 2020-01-20 |
Time periods
| Start date | End date |
|---|---|
| 2019-12-01 | 2020-01-20 |
Data Collection Mode
Computer Assisted Personal Interview [capi]
Supervision
The data were collected by 26 teams; each was comprised of 4-5 interviewers, one measurer and a supervisor. Fieldwork began in December, 2019 and concluded in January, 2020. Data was collected using tablet computers running the Windows 10 operating system, utilising a Bluetooth application for field operations, enabling transfer of assignments and completed questionnaires between supervisor and interviewer tablets.
Where the questionnaire was filled out on a survey application that was built on the CSpro software package for data entry and processing
Where the questionnaire was filled out on a survey application that was built on the CSpro software package for data entry and processing
Data Collection Notes
In May 2019, 4 clusters were selected for the pre-test, out of each cluster 24 households were selected for interview. The selected clusters were: a Rural area in Ramallah governorate in the central of the West Bank, a refugee camp in Bethlehem Governorate in the south of the West Bank, and an Urban area in Nablus governorate in the North of the West Bank. In addition to one urban locality in Gaza Strip. Based on the results of the pre-test, modifications were made to the wording and translation of the questionnaires.
The CAPI application was tested in 4 clusters, and out of each cluster, 24 households were selected for an interview during October, 2019. The selected clusters included: a rural area in Ramallah Governorate in the Central of the West Bank, an urban area in Hebron Governorate in the southern of the West Bank, and a refugee camp in Jenin Governorate in theNorthern of the West Bank. In addition to one urban locality in Gaza Strip. Based on the results of the CAPI-test, modifications were made to the application.
The CAPI application was tested in 4 clusters, and out of each cluster, 24 households were selected for an interview during October, 2019. The selected clusters included: a rural area in Ramallah Governorate in the Central of the West Bank, an urban area in Hebron Governorate in the southern of the West Bank, and a refugee camp in Jenin Governorate in theNorthern of the West Bank. In addition to one urban locality in Gaza Strip. Based on the results of the CAPI-test, modifications were made to the application.
Data Collectors
| Name | Abbreviation | Affiliation |
|---|---|---|
| Palestinian Central Bureau of Statistics | PCBS | Palestinian National Authority |
Questionnaires
Questionnaires
The Palestinian Multiple Indicator Cluster Survey included the following modules in the questionnaires:
HOUSEHOLD QUESTIONNAIRE : Household listing, education, household characteristics, social transfers, household energy use, water and sanitation, handwashing, and salt iodization.
WATER QUALITY TESTING QUESTIONNAIRE : water quality test and results.
WOMEN'S QUESTIONNAIRE 15-49 YEARS: Woman's background, mass media and ICT, marriage, fertility/birth history, desire for last birth, maternal and newborn health, post-natel health checks, contraception, unmet need, attitudes toward domestic violence, victimization, adult function, HIV/AIDS knowledge, tobacco, and life satisfaction.
QUESTIONNAIRE FOR CHILDREN UNDER FIVE : under five background, birth registration, early childhood development, child discipline, child functioning , breastfeeding and dietary intake, immunization, care of illness and anthropometry.
QUESTIONNAIRE FOR CHILDREN AGE 5-17 years: child's background, child labour, child discipline, child functioning, parental involvement, foundational learning skills.
The questionnaires were based on the MICS6 standard questionnaires5 . From the standard MICS6 English version, the questionnaires were customised and translated into Arabic and were pre-tested in May 2019. Based on the results of the pre-test, modifications were made to the wording and translation of the questionnaires
HOUSEHOLD QUESTIONNAIRE : Household listing, education, household characteristics, social transfers, household energy use, water and sanitation, handwashing, and salt iodization.
WATER QUALITY TESTING QUESTIONNAIRE : water quality test and results.
WOMEN'S QUESTIONNAIRE 15-49 YEARS: Woman's background, mass media and ICT, marriage, fertility/birth history, desire for last birth, maternal and newborn health, post-natel health checks, contraception, unmet need, attitudes toward domestic violence, victimization, adult function, HIV/AIDS knowledge, tobacco, and life satisfaction.
QUESTIONNAIRE FOR CHILDREN UNDER FIVE : under five background, birth registration, early childhood development, child discipline, child functioning , breastfeeding and dietary intake, immunization, care of illness and anthropometry.
QUESTIONNAIRE FOR CHILDREN AGE 5-17 years: child's background, child labour, child discipline, child functioning, parental involvement, foundational learning skills.
The questionnaires were based on the MICS6 standard questionnaires5 . From the standard MICS6 English version, the questionnaires were customised and translated into Arabic and were pre-tested in May 2019. Based on the results of the pre-test, modifications were made to the wording and translation of the questionnaires
Data Processing
Data Editing
During the fieldwork, field-testing the use of tables that examine the distribution and collection of questionnaires depending on the difference, sex ratio, age heaping, target groups, and other relevant tests
Completing the questionnaire was done through the use of a software package, where all the examination rules were placed on the application, which enabled the researcher to review any errors while she was in the household. In Jerusalem J1, there was an office audit of the questionnaire , then it were entered.
Completing the questionnaire was done through the use of a software package, where all the examination rules were placed on the application, which enabled the researcher to review any errors while she was in the household. In Jerusalem J1, there was an office audit of the questionnaire , then it were entered.
Data Appraisal
Estimates of Sampling Error
Accuracy of data comprises different aspects of the survey, mainly statistical errors due to the use of a statistical sample, as well as non-statistical errors due to staff and survey tools, in addition to response rates in the survey and its effect on estimates.
Statistical Errors
Since the data reported in this survey are based on a sample survey and not on a complete enumeration, there may be sampling errors as well as non-sampling errors.
Data from this survey may be affected by statistical errors due to use of the sample. Therefore, the emergence of certain differences from the real values obtained through censuses is possible.
Non-Statistical Errors
Procedures were developed to ensure that non-statistical errors were minimized as much as possible. Fieldworkers were selected based on strict criteria with adequate qualifications and experience in data collection. All fieldworkers underwent training on data collection best practices, topics of the questionnaires, and how to interview and obtain accurate answers from respondents.
In order to reduce the percentage of errors that can occur during the completion of the questionnaire on the tablet, the software package (the application) has been designed very carefully so as not to allow any consistency errors that may occur during the entry process.
In addition, office editors were also trained on editing guidance to ensure data was consistent and complete. Data entry programs were also designed to resemble the structure of the questionnaire itself to ensure consistency within the data in each record and cross-records. All entered data were verified by different data entry clerks to ensure that all data were entered correctly.
Statistical Errors
Since the data reported in this survey are based on a sample survey and not on a complete enumeration, there may be sampling errors as well as non-sampling errors.
Data from this survey may be affected by statistical errors due to use of the sample. Therefore, the emergence of certain differences from the real values obtained through censuses is possible.
Non-Statistical Errors
Procedures were developed to ensure that non-statistical errors were minimized as much as possible. Fieldworkers were selected based on strict criteria with adequate qualifications and experience in data collection. All fieldworkers underwent training on data collection best practices, topics of the questionnaires, and how to interview and obtain accurate answers from respondents.
In order to reduce the percentage of errors that can occur during the completion of the questionnaire on the tablet, the software package (the application) has been designed very carefully so as not to allow any consistency errors that may occur during the entry process.
In addition, office editors were also trained on editing guidance to ensure data was consistent and complete. Data entry programs were also designed to resemble the structure of the questionnaire itself to ensure consistency within the data in each record and cross-records. All entered data were verified by different data entry clerks to ensure that all data were entered correctly.
Data Appraisal
Different methods were applied in the assessment of the survey data, including:
Occurrences of missing values and answers like "other" and "do not know".
Examining inconsistencies between the various sections of the questionnaire, including within record and cross-record consistencies. comprarability of data with previous surveys 2010, 2014 and showed logical homogeneity in the results.
The results of these assessment procedures show that the data are of high quality and consistency.
Occurrences of missing values and answers like "other" and "do not know".
Examining inconsistencies between the various sections of the questionnaire, including within record and cross-record consistencies. comprarability of data with previous surveys 2010, 2014 and showed logical homogeneity in the results.
The results of these assessment procedures show that the data are of high quality and consistency.
Access policy
Contacts
| Name | Affiliation | URL | |
|---|---|---|---|
| Division of user services | Palestinian Central Bureau of Statistics | Dus@pcbs.gov.ps | www.pcbs.gov.ps |
| Mail office | Palestinian Central Bureau of Statistics | Diwan@pcbs.gov.ps | www.pcbs.gov.ps |
Confidentiality
General Statistics Law No. (5) for Year 2000
Article (17)
1. All individual information and data submitted to the Bureau for statistical purposes shall be treated as confidential and shall not be divulged, in whole or in part, to any individual or to a public or private body,
or used for any purpose other than for preparing statistical tables.
2. The Bureau shall endeavor to issue official statistical publications in aggregate tables, which do not disclose individual data, in conformity with the confidentiality of statistical data.
Access conditions
1. Pledges the utilization of “data” or any copies thereof shall be limited to the purposes agreed upon including not granting any third parties any access to these data. Restrictions applies to any data duplication
or transformed setting for purposes other than meeting the requirements of the statistical programs used in data analysis.
2. Utilization of “data” or any copies thereof is limited to personal computers normally .
3. Pledges not to alter the value of any observation in the original “data”; nevertheless, this does not apply on subjecting data to any processes or procedures aiming to derive new variables. The first party does
not bear any professional, administrative or financial responsibility for any losses incurred as a result of changes in the variables values.
or transformed setting for purposes other than meeting the requirements of the statistical programs used in data analysis.
2. Utilization of “data” or any copies thereof is limited to personal computers normally .
3. Pledges not to alter the value of any observation in the original “data”; nevertheless, this does not apply on subjecting data to any processes or procedures aiming to derive new variables. The first party does
not bear any professional, administrative or financial responsibility for any losses incurred as a result of changes in the variables values.
Citation requirements
Palestinian Central Bureau of Statistics. Palestinian Multiple Indicator Cluster Survey 2019-2020, Survey Findings Report, V1.0. (01-2021). Ramallah - Palestine
Access authority
| Name | Affiliation | URL | |
|---|---|---|---|
| Palestinian Central Bureau of Statistics | State of Palestine | diwan@pcbs.gov.ps | www.pcbs.gov.ps |
Disclaimer and copyrights
Disclaimer
PCBS provid data collected for purely statistical purposes, and therefore does not assume any responsibility for legal or professional from any claim or analysis or interpretation or misuse of this data.
Copyright
(c) All Rights Reserved. Palestinian Central Bureau of Statistics, (2019-2020)
Metadata production
DDI Document ID
DDI-PSE-PCBS-MICS-2019-2020-V1.0
Producers
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Palestinian Central Bureau of Statistics | PCBS | State of Palestine | Collection, processing and dissemination data |
Date of Metadata Production
2021-12-12
DDI Document version
V1.0