Household Survey on Information and Communications Technology– 2019
West Bank and Gaza, 2019
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Reference ID
PSE-PCBS-ICTH-2019-V1.0
Producer(s)
Palestinian Central Bureau of Statistics
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Created on
Mar 16, 2020
Last modified
Mar 16, 2020
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Identification
Survey ID Number
PSE-PCBS-ICTH-2019-V1.0
Title
Household Survey on Information and Communications Technology– 2019
Translated Title
المسح الأسري لتكنولوجيا المعلومات والاتصالات -2019
Country
| Name | Country code |
|---|---|
| Palestine | PSE |
Study type
Other Household Survey [hh/oth]
Series Information
The Palestinian Central Bureau of Statistics is pleased to issue the the main results report on the 2019 household ICT survey This report monitors the knowledge and information society through studying the mechanisms of access and use of the basic tools of information and communication technology (fixed phone, mobile phone, computer, internet,ICT Skills and E-commerce) by members of the Palestinian society
Abstract
The Palestinian society's access to information and communication technology tools is one of the main inputs to achieve social development and economic change to the status of Palestinian society; on the basis of its impact on the revolution of information and communications technology that has become a feature of this era. Therefore, and within the scope of the efforts exerted by the Palestinian Central Bureau of Statistics in providing official Palestinian statistics on various areas of life for the Palestinian community, PCBS implemented the household survey for information and communications technology for the year 2019. The main objective of this report is to present the trends of accessing and using information and communication technology by households and individuals in Palestine, and enriching the information and communications technology database with indicators that meet national needs and are in line with international recommendations.
Kind of Data
Sample survey data [ssd]
Unit of Analysis
Household, Individual
Version
Version Description
V1.0: version (datasets for public use)
Version Date
2020-03-10
Scope
Notes
1.Computer availability and use
2.Availability and use of a mobile phone
3.Internet availability and use
4.Information and communication technology skills
5.E-commerce
6. Information technology threats
2.Availability and use of a mobile phone
3.Internet availability and use
4.Information and communication technology skills
5.E-commerce
6. Information technology threats
Topics
| Topic | Vocabulary | URI |
|---|---|---|
| information society [7.2] | CESSDA | Link |
Coverage
Geographic Coverage
Palestine, West Bank, Gaza strip
Universe
All Palestinian households and individuals (10 years and above) whose usual place of residence in 2019 was in the state of Palestine.
Producers and sponsors
Primary investigators
| Name | Affiliation |
|---|---|
| Palestinian Central Bureau of Statistics | State of Palestine |
Funding Agency/Sponsor
| Name | Abbreviation | Role |
|---|---|---|
| Palestine | PSE | financial |
| The Representative Office of Norway | NOR | financial |
Other Identifications/Acknowledgments
| Name | Affiliation | Role |
|---|---|---|
| The Representative Office of Norway | CFG | financial |
Sampling
Sampling Procedure
Sampling Frame
The sampling frame consists of master sample which were enumerated in the 2017 census. Each enumeration area consists of buildings and housing units with an average of about 150 households. These enumeration areas are used as primary sampling units (PSUs) in the first stage of the sampling selection.
Sample size
The estimated sample size is 8,040 households.
Sample Design
The sample is three stages stratified cluster (pps) sample. The design comprised three stages:
Stage (1): Selection a stratified sample of 536 enumeration areas with (pps) method.
Stage (2): Selection a stratified random sample of 15 households from each enumeration area selected in the first stage.
Stage (3): Selection one person of the (10 years and above) age group in a random method by using KISH TABLES.
Sample Strata
The population was divided by:
1- Governorate (16 governorates, where Jerusalem was considered as two statistical areas)
2- Type of Locality (urban, rural, refugee camps).
The sampling frame consists of master sample which were enumerated in the 2017 census. Each enumeration area consists of buildings and housing units with an average of about 150 households. These enumeration areas are used as primary sampling units (PSUs) in the first stage of the sampling selection.
Sample size
The estimated sample size is 8,040 households.
Sample Design
The sample is three stages stratified cluster (pps) sample. The design comprised three stages:
Stage (1): Selection a stratified sample of 536 enumeration areas with (pps) method.
Stage (2): Selection a stratified random sample of 15 households from each enumeration area selected in the first stage.
Stage (3): Selection one person of the (10 years and above) age group in a random method by using KISH TABLES.
Sample Strata
The population was divided by:
1- Governorate (16 governorates, where Jerusalem was considered as two statistical areas)
2- Type of Locality (urban, rural, refugee camps).
Response Rate
The response rate in the West Bank reached 77.6% while in the Gaza Strip it reached 92.7%.
Weighting
The weight of statistical units (sampling unit) in the sample is defined as the mathematical inverse of the selection probability where the sample of the survey is two stage stratified cluster sample (pps).In the first stage, we calculated the weight of enumeration areas depending on the probability of each enumeration area (pps sample). Then, in the second stage, we calculated weight of households in each enumeration area. Initial households weights resulted from product of weight of first stage and weight of second stage. In the final stage, households weights obtained after adjustment of initial weights with the households estimates of the middle year 2019 on the level of design strata (governorate, locality type).
In regards to the 10 years and above individuals file, we added the final household weight for each person. Then, we calculated the primary person weight by multiplying the household weight which the person belongs to and the number of persons in the age group 10 years and above by gender in the household which the person belongs to. Then, we adjusted the initial person weight with the individuals estimates of the middle and of the third quarters of the year 2019 on the level of region (West bank, Gaza strip), gender (male, female ), Five -year age groups (15 groups). We, then, obtained the final adjusted person weight.
In regards to the 10 years and above individuals file, we added the final household weight for each person. Then, we calculated the primary person weight by multiplying the household weight which the person belongs to and the number of persons in the age group 10 years and above by gender in the household which the person belongs to. Then, we adjusted the initial person weight with the individuals estimates of the middle and of the third quarters of the year 2019 on the level of region (West bank, Gaza strip), gender (male, female ), Five -year age groups (15 groups). We, then, obtained the final adjusted person weight.
Data Collection
Dates of Data Collection
| Start | End |
|---|---|
| 2019-07-10 | 2019-10-03 |
Time periods
| Start date | End date |
|---|---|
| 2019-07-10 | 2019-10-03 |
Data Collection Mode
Computer Assisted Personal Interview [capi]
Supervision
Field visits were conducted by survey's management team to ensure data collection was carried out according to standards
Data Collection Notes
Collecting data started on 10/07/2019 and ended on 03/10/2019 in a corresponding interview method for individuals aged 10 years and above who are staying usually with their household in the State of Palestine in 2019. Data were collected using PC-tablet devices in the West Bank and Gaza Strip. In Jerusalem (J1), data; however, were collected using paper questionnaires.
Data Collectors
| Name | Abbreviation | Affiliation |
|---|---|---|
| Palestinian Central Bureau of Statistics | PCBS | Palestinian National Authority |
Questionnaires
Questionnaires
Questionnaire
The survey questionnaire consists of identification data, quality controls and three main sections:
Section I: Data on household members that include identification fields, the characteristics of household members (demographic and social) such as the relationship of individuals to the head of household, sex, date of birth and age.
Section II: Household data include information regarding computer processing, access to the Internet, and possession of various media and computer equipment. This section includes information on topics related to the use of computer and Internet, as well as supervision by households of their children (5-17 years old) while using the computer and Internet, and protective measures taken by the household in the home.
Section III: Data on Individuals (10 years and over) about computer use, access to the Internet and possession of a mobile phone.
The survey questionnaire consists of identification data, quality controls and three main sections:
Section I: Data on household members that include identification fields, the characteristics of household members (demographic and social) such as the relationship of individuals to the head of household, sex, date of birth and age.
Section II: Household data include information regarding computer processing, access to the Internet, and possession of various media and computer equipment. This section includes information on topics related to the use of computer and Internet, as well as supervision by households of their children (5-17 years old) while using the computer and Internet, and protective measures taken by the household in the home.
Section III: Data on Individuals (10 years and over) about computer use, access to the Internet and possession of a mobile phone.
Data Processing
Data Editing
Programming Consistency Check
The data collection program was designed in accordance with the questionnaire's design and its skips. The program was examined more than once before the conducting of the training course by the project management where the notes and modifications were reflected on the program by the Data Processing Department after ensuring that it was free of errors before going to the field.
Using PC-tablet devices reduced data processing stages, and fieldworkers collected data and sent it directly to server, and project management withdraw the data at any time.
In order to work in parallel with Jerusalem (J1), a data entry program was developed using the same technology and using the same database used for PC-tablet devices.
Data Cleaning
After the completion of data entry and audit phase, data is cleaned by conducting internal tests for the outlier answers and comprehensive audit rules through using SPSS program to extract and modify errors and discrepancies to prepare clean and accurate data ready for tabulation and publishing.
Tabulation
After finalizing checking and cleaning data from any errors. Tables extracted according to prepared list of tables.
The data collection program was designed in accordance with the questionnaire's design and its skips. The program was examined more than once before the conducting of the training course by the project management where the notes and modifications were reflected on the program by the Data Processing Department after ensuring that it was free of errors before going to the field.
Using PC-tablet devices reduced data processing stages, and fieldworkers collected data and sent it directly to server, and project management withdraw the data at any time.
In order to work in parallel with Jerusalem (J1), a data entry program was developed using the same technology and using the same database used for PC-tablet devices.
Data Cleaning
After the completion of data entry and audit phase, data is cleaned by conducting internal tests for the outlier answers and comprehensive audit rules through using SPSS program to extract and modify errors and discrepancies to prepare clean and accurate data ready for tabulation and publishing.
Tabulation
After finalizing checking and cleaning data from any errors. Tables extracted according to prepared list of tables.
Data Appraisal
Estimates of Sampling Error
Sampling Errors
Data of this survey affected by sampling errors due to use of the sample and not a complete enumeration. Therefore, certain differences are expected in comparison with the real values obtained through censuses. Variance were calculated for the most important indicators, There is no problem to disseminate results at the national level and at the level of the West Bank and Gaza Strip.
Non-Sampling Errors
Non-Sampling errors are possible at all stages of the project, during data collection or processing. These are referred to non-response errors, response errors, interviewing errors and data entry errors. To avoid errors and reduce their effects, strenuous efforts were made to train the field workers intensively. They were trained on how to carry out the interview, what to discuss and what to avoid, as well as practical and theoretical training during the training course.
The implementation of the survey encountered non-response where the case (household was not present at home) during the fieldwork visit become the high percentage of the non response cases. The total non-response rate reached 17.5%. The refusal percentage reached 2.9% which is relatively low percentage compared to the household surveys conducted by PCBS, and the reason is the questionnaire survey is clear.
Data of this survey affected by sampling errors due to use of the sample and not a complete enumeration. Therefore, certain differences are expected in comparison with the real values obtained through censuses. Variance were calculated for the most important indicators, There is no problem to disseminate results at the national level and at the level of the West Bank and Gaza Strip.
Non-Sampling Errors
Non-Sampling errors are possible at all stages of the project, during data collection or processing. These are referred to non-response errors, response errors, interviewing errors and data entry errors. To avoid errors and reduce their effects, strenuous efforts were made to train the field workers intensively. They were trained on how to carry out the interview, what to discuss and what to avoid, as well as practical and theoretical training during the training course.
The implementation of the survey encountered non-response where the case (household was not present at home) during the fieldwork visit become the high percentage of the non response cases. The total non-response rate reached 17.5%. The refusal percentage reached 2.9% which is relatively low percentage compared to the household surveys conducted by PCBS, and the reason is the questionnaire survey is clear.
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, 2020. Household Survey on Information and Communications Technology, 2019: Version v1.0. Ramallah - Palestine.
Access authority
| Name | Affiliation | URL | |
|---|---|---|---|
| Palestinian Central Bureau of Statistics | State of Palestine | diwan@pcbs.gov.ps | www.pcbs.gov.ps |
| Palestinian Central Bureau of Statistics | State of Palestine | Dus@pcbs.gov.ps | www.pcbs.gov.ps |
Disclaimer and copyrights
Disclaimer
PCBS provide 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
© All Rights Reserved. Palestinian Central Bureau of Statistics, 2019
Metadata production
DDI Document ID
DDI-PSE-PCBS-ICTH-2019-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
2020-03-10
DDI Document version
V1.0