Abstract

The Agricultural Census aims in general to establish an updated, detailed and accurate holdings database to assist in planning and policy making at all levels related to the agricultural sector. It also aims in specific to provide data on the structure of agriculture, especially for small administrative and geographical units, rare items, and to enable detailed cross-tabulations, and to provide data that can be used as a benchmark for reconciliation of current agricultural statistics; and for setting estimates for subsequent years, in addition to provide frames for agricultural sampling surveys.

Geographic coverage

The census also covered all geographical levels in the West Bank and Gaza Strip, so that: 1. Implementation of a comprehensive listing in Gaza Strip that enumeration areas represent more than 5% of households that practice agricultural activity, according to the Population, Housing and Establishments Census, 2017 data. 2. Visiting the households that practiced agricultural activity according to data of Population, Housing and Establishments Census, 2017 in the enumerated areas, where the percentage of households that practiced an agricultural activity is 1-4%. 3. Implementation of a comprehensive listing in the West Bank for all localities except camps and city centers in the following governorates (Nablus, Ramallah & Al-Bireh, Hebron and J2 in Jerusalem Governorate). 4. Implementation of a comprehensive listing in the enumeration areas of camps and city centers in the following governorates (Nablus, Ramallah, Al-Bireh, Hebron and J2 of Jerusalem Governorate), for households that practiced agricultural activity according to data of Population, Housing and Establishments Census 2017, more than 5%, and visiting the households that practiced agricultural activity according to data of Population, Housing and Establishments Census 2017 in the enumerated areas, where the percentage of households that practiced an agricultural activity is 1-4% in the same locality mentioned above. 5. About Jerusalem J1, a different methodology is applied in two phases. In the first phase, research and investigation are carried out in cooperation with responsible and dignitaries in Jerusalem J1 on agricultural holdings and holders, and in the second phase, enumeration of the holdings that were monitored in the first phase.

Analysis unit

Agricultural Holding

Universe

Includes agricultural holdings in Palestine in 2021

Kind of data

Census/enumeration data [cen]

Sampling procedure

The frame of the Agriculture Census includes a complete record of households and non-household agricultural holdings, where all households are enumerated and the household agricultural holdings are identified, in addition to a list of non-households holdings that is obtained by listing all buildings as well as a list from the Ministry of Agriculture which includes cooperative societies/charity societies, companies, and government and private holdings…etc.

The census also covered all geographical levels in the West Bank and Gaza Strip, so that: 1. Implementation of a comprehensive listing in Gaza Strip that enumeration areas represent more than 5% of households that practice agricultural activity, according to the Population, Housing and Establishments Census, 2017 data. 2. Visiting the households that practiced agricultural activity according to data of Population, Housing and Establishments Census, 2017 in the enumerated areas, where the percentage of households that practiced an agricultural activity is 1-4%. 3. Implementation of a comprehensive listing in the West Bank for all localities except camps and city centers in the following governorates (Nablus, Ramallah & Al-Bireh, Hebron and J2 in Jerusalem Governorate). 4. Implementation of a comprehensive listing in the enumeration areas of camps and city centers in the following governorates (Nablus, Ramallah, Al-Bireh, Hebron and J2 of Jerusalem Governorate), for households that practiced agricultural activity according to data of Population, Housing and Establishments Census 2017, more than 5%, and visiting the households that practiced agricultural activity according to data of Population, Housing and Establishments Census 2017 in the enumerated areas, where the percentage of households that practiced an agricultural activity is 1-4% in the same locality mentioned above. 5. About Jerusalem J1, a different methodology is applied in two phases. In the first phase, research and investigation are carried out in cooperation with responsible and dignitaries in Jerusalem J1 on agricultural holdings and holders, and in the second phase, enumeration of the holdings that were monitored in the first phase.

Sampling deviation

Not applicable

Mode of data collection

Computer Assisted Personal Interview [capi]

Research instrument

Computerized program

Cleaning operations

Post enumeration data processing phase was limited to final examination and cleaning of Agricultural Census databases, with documentation of examinations on all topics of Agricultural Census 2021 questions. Data processing phase focused on the following: 1. Checking the allowed transfers and values. 2. Checking the consistency between different questions of the census questionnaire based on logical relationships. 3. Checking on the basis of relations between certain questions so that a list of non-identical cases was extracted, reviewed and identified the source of the error case by case, and if such errors were immediately modified and corrected based on the source of the error3. Checking on the basis of relations between certain questions so that a list of non-identical cases was extracted, reviewed and identified the source of the error case by case, and if such errors were immediately modified and corrected based on the source of the error.

Response rate

Not Applicable.

Sampling error estimates

The sampling errors occur during the sample-based surveys but not in censuses as it is a comprehensive inventory of all agricultural holdings. These errors are easy to measure with the error point estimate also, since it is considered as an error in the sample.

Data appraisal

The non-sampling errors occur at any stage during the implementation of censuses and surveys. Therefore, it is necessary to provide for a data quality control system to ensure maximum accuracy. Many of these stages were used during the agriculture census planning and implementation where are-interview was carried out as follows:

• There are two models that were used to collect data and were uploaded to tablets. The first model is to enumerate households in all enumeration areas; in which the percentage of households that practiced an agricultural activity (according to the data of the Population, Housing and Establishments Census, 2017) is 5% or more, and the second model was used if the household had agricultural holdings.

• The enumerator visited Palestinian households in the enumeration areas in which the percentage of households that practiced agricultural activity (according to the data of the Population, Housing and Establishments Census, 2017) is less than 5%, so that the inventory model and the model prepared for agricultural holdings were if the tenure conditions were met.

Abstract

Focuses mainly on labor force key indicators, main characteristics of the employed, unemployed, underemployed and persons outside the labor force, labor force according to level of education, distribution of the employed population by occupation, economic activity, place of work, employment status, hours and days worked and average daily wage in NIS for the employees.

Geographic coverage

The Data are representative at region level (West Bank, Gaza Strip), locality type (urban, rural, camp) and governorates.

Analysis unit

• Household,
• Individual.

Universe

The survey covered all the Palestinian persons aged 10 years and above who are usual residents in the State of Palestine.

Kind of data

Sample survey data [ssd]

Sampling procedure

The sample of this survey is implemented periodically every quarter by PCBS since 1995, so this survey is implemented every quarter of the year (distributed over 13 weeks).

The sample is a two stage stratified cluster sample with two stages:

• First stage: we select a systematic random sample of 494 enumeration areas for the whole round, and excluded enumeration areas that contain less that 40 households.

• Second stage: we select a random area sample of average 16 households from each enumeration area selected in the first stage, from each region where the number of households counted 80 households or more, while enumeration areas contain less that 80 households were selected 8 households.

The estimated sample size in the first quarter is 7,616 households, 7,587 households in the second quarter, 7,525 households in the third quarter, and 7,502 households in the fourth quarter in 2017.

Mode of data collection

Computer Assisted Personal Interview [capi]

Research instrument

The labor force survey questionnaire consists of four main sections:

1. Identification Data: The main objective for this part is to record the necessary information to identify the household, such as cluster code, sector, type of locality, cell, housing number and the cell code.

2. Quality Control: This part involves groups of controlling standards to monitor the field and office operation, to keep in order the sequence of questionnaire stages (data collection, field and office coding, data entry, editing after entry and store the data).

3. Household Roster: This part involves demographic characteristics about the household, like number of persons in the household, date of birth, sex, educational level, etc.

4. Employment Part: This part involves the major research indicators, where one questionnaire had been answered by every 10 years and over household member, to be able to explore their labor force status and recognize their major characteristics toward employment status, economic activity, occupation, place of work, and other employment indicators.

Cleaning operations

All questionnaires were edited after data entry in order to minimize errors related data entry.

Response rate

The response rate was 85.8% in 2017, and in quarters: - First quarter 2017: 85.9% - Second quarter 2017: 85.7% - Third quarter 2017: 85.8% - Fourth quarter 2017: 86.5%

Sampling error estimates

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, the variance table is attached with the final report. There is no problem to disseminate results at the national level and at the level of governorates of the West Bank and Gaza Strip.

Data appraisal

The concept of data quality encompasses various aspects, started with planning of the survey to how to publish, understand and benefit from the data. The most important components of statistical quality elements are accuracy, comparability and quality control procedures

This map represents unemployment rate by sex in Palestine by Governorate level for the year 2017 depending on labour force survey compiled by PCBS. Unemployment rate reported here is based on the International Labour Organization's (ILO) definition according to three standards; not working in the reference period, availability for work, seeking for work in the short reference period.

Abstract

The Consumer price surveys primarily provide the following: Data on CPI in Palestine covering the West Bank, Gaza Strip and Jerusalem J1 for major and sub groups of expenditure. Statistics needed for decision-makers, planners and those who are interested in the national economy. Contribution to the preparation of quarterly and annual national accounts data.

Consumer Prices and indices are used for a wide range of purposes, the most important of which are as follows: Adjustment of wages, government subsidies and social security benefits to compensate in part or in full for the changes in living costs. To provide an index to measure the price inflation of the entire household sector, which is used to eliminate the inflation impact of the components of the final consumption expenditure of households in national accounts and to dispose of the impact of price changes from income and national groups. Price index numbers are widely used to measure inflation rates and economic recession. Price indices are used by the public as a guide for the family with regard to its budget and its constituent items. Price indices are used to monitor changes in the prices of the goods traded in the market and the consequent position of price trends, market conditions and living costs. However, the price index does not reflect other factors affecting the cost of living, e.g. the quality and quantity of purchased goods. Therefore, it is only one of many indicators used to assess living costs. It is used as a direct method to identify the purchasing power of money, where the purchasing power of money is inversely proportional to the price index.

Geographic coverage

Palestine West Bank Gaza Strip Jerusalem

Analysis unit

The target population for the CPI survey is the shops and retail markets such as grocery stores, supermarkets, clothing shops, restaurants, public service institutions, private schools and doctors.

Universe

The target population for the CPI survey is the shops and retail markets such as grocery stores, supermarkets, clothing shops, restaurants, public service institutions, private schools and doctors.

Kind of data

Sample survey data [ssd]

Sampling procedure

A non-probability purposive sample of sources from which the prices of different goods and services are collected was updated based on the establishment census 2017, in a manner that achieves full coverage of all goods and services that fall within the Palestinian consumer system. These sources were selected based on the availability of the goods within them. It is worth mentioning that the sample of sources was selected from the main cities inside Palestine: Jenin, Tulkarm, Nablus, Qalqiliya, Ramallah, Al-Bireh, Jericho, Jerusalem, Bethlehem, Hebron, Gaza, Jabalia, Dier Al-Balah, Nusseirat, Khan Yunis and Rafah. The selection of these sources was considered to be representative of the variation that can occur in the prices collected from the various sources. The number of goods and services included in the CPI is approximately 730 commodities, whose prices were collected from 3,200 sources. (COICOP) classification is used for consumer data as recommended by the United Nations System of National Accounts (SNA-2008).

Sampling deviation

Not apply

Mode of data collection

Computer Assisted Personal Interview [capi]

Research instrument

A tablet-supported electronic form was designed for price surveys to be used by the field teams in collecting data from different governorates, with the exception of Jerusalem J1. The electronic form is supported with GIS, and GPS mapping technique that allow the field workers to locate the outlets exactly on the map and the administrative staff to manage the field remotely. The electronic questionnaire is divided into a number of screens, namely: First screen: shows the metadata for the data source, governorate name, governorate code, source code, source name, full source address, and phone number. Second screen: shows the source interview result, which is either completed, temporarily paused or permanently closed. It also shows the change activity as incomplete or rejected with the explanation for the reason of rejection. Third screen: shows the item code, item name, item unit, item price, product availability, and reason for unavailability. Fourth screen: checks the price data of the related source and verifies their validity through the auditing rules, which was designed specifically for the price programs. Fifth screen: saves and sends data through (VPN-Connection) and (WI-FI technology).

In case of the Jerusalem J1 Governorate, a paper form has been designed to collect the price data so that the form in the top part contains the metadata of the data source and in the lower section contains the price data for the source collected. After that, the data are entered into the price program database.

Cleaning operations

The price survey forms were already encoded by the project management depending on the specific international statistical classification of each survey. After the researcher collected the price data and sent them electronically, the data was reviewed and audited by the project management. Achievement reports were reviewed on a daily and weekly basis. Also, the detailed price reports at data source levels were checked and reviewed on a daily basis by the project management. If there were any notes, the researcher was consulted in order to verify the data and call the owner in order to correct or confirm the information.

At the end of the data collection process in all governorates, the data will be edited using the following process: Logical revision of prices by comparing the prices of goods and services with others from different sources and other governorates. Whenever a mistake is detected, it should be returned to the field for correction. Mathematical revision of the average prices for items in governorates and the general average in all governorates. Field revision of prices through selecting a sample of the prices collected from the items.

Response rate

Not apply

Sampling error estimates

The findings of the survey may be affected by sampling errors due to the use of samples in conducting the survey rather than total enumeration of the units of the target population, which increases the chances of variances between the actual values we expect to obtain from the data if we had conducted the survey using total enumeration. The computation of differences between the most important key goods showed that the variation of these goods differs due to the specialty of each survey. The variance of the key goods in the computed and disseminated CPI survey that was carried out on the Palestine level was for reasons related to sample design and variance calculation of different indicators since there was a difficulty in the dissemination of results by governorates due to lack of weights. Non-sampling errors are probable at all stages of data collection or data entry. Non-sampling errors include: Non-response errors: the selected sources demonstrated a significant cooperation with interviewers; so, there wasn't any case of non-response reported during 2019. Response errors (respondent), interviewing errors (interviewer), and data entry errors: to avoid these types of errors and reduce their effect to a minimum, project managers adopted a number of procedures, including the following: More than one visit was made to every source to explain the objectives of the survey and emphasize the confidentiality of the data. The visits to data sources contributed to empowering relations, cooperation, and the verification of data accuracy. Interviewer errors: a number of procedures were taken to ensure data accuracy throughout the process of field data compilation: Interviewers were selected based on educational qualification, competence, and assessment. Interviewers were trained theoretically and practically on the questionnaire. Meetings were held to remind interviewers of instructions. In addition, explanatory notes were supplied with the surveys. A number of procedures were taken to verify data quality and consistency and ensure data accuracy for the data collected by a questioner throughout processing and data entry (knowing that data collected through paper questionnaires did not exceed 5%): Data entry staff was selected from among specialists in computer programming and were fully trained on the entry programs. Data verification was carried out for 10% of the entered questionnaires to ensure that data entry staff had entered data correctly and in accordance with the provisions of the questionnaire. The result of the verification was consistent with the original data to a degree of 100%. The files of the entered data were received, examined, and reviewed by project managers before findings were extracted. Project managers carried out many checks on data logic and coherence, such as comparing the data of the current month with that of the previous month, and comparing the data of sources and between governorates. Data collected by tablet devices were checked for consistency and accuracy by applying rules at item level to be checked.

Data appraisal

Other technical procedures to improve data quality: Seasonal adjustment processes and estimations of non-available items' prices: Under each category, a number of common items are used in Palestine to calculate the price levels and to represent the commodity within the commodity group. Of course, it is

Geographic coverage

National coverage

Analysis unit

households/individuals

Kind of data

survey

Frequency of data collection

Quarterly

Sampling procedure

Sample size:

PCBS LAYERS Contains Palestine Border, Regions, Governorates, and Localitiies.

Analysis unit

Persons and households Age is grouped into categories

UNITS IDENTIFIED: - Dwellings: no - Vacant Units: no - Households: yes - Individuals: yes - Group quarters: no

UNIT DESCRIPTIONS: - Dwellings: A building or part of a building constructed for one household only, with one or more independent entrance leading to the public road without passing through another housing unit. - Households: One person or a group of persons with or without a household relationship, who live in the same housing unit, share meals and make joint provision of food and other essentials of living. - Group quarters: Elderly homes, orphan homes, psycho-therapy clinics and hospitals, and other collective households

Universe

(1) All persons living in the Palestinian Territory on the census date, regardless of nationality, citizenship, reason of presence, and place of residence in the Palestinian Territory. (2) All Palestinians who live abroad temporarily and for less than a year whose usual place of residence is in the Palestinian Teritory (these persons are counted with their households). (3) All Palestinians who are studying abroad, regardless of the study period and length of residence abroad, and all Palestinian persons detained in Israeli jails regardless of the detention period. Refugees

Kind of data

Population and Housing Census [hh/popcen]

Sampling procedure

MICRODATA SOURCE: Palestinian National Authority, Palestinian Central Bureau of Statistics

SAMPLE SIZE (person records): 467873.

SAMPLE DESIGN: A systematic random sample of 20 percent of households. IPUMS drew a systematic sample of every second household. Refugees

Mode of data collection

Face-to-face [f2f]

Research instrument

A single enumeration form requested information on the dwelling and individuals.

Percent of Households that far more than 1 km from Secondary Educational Operating Establishments in West Bank by Governorate, 2017.Source:

Population, Housing, and Establishments Census GDB, 2017.

Abstract

In line with PCBS policy that has to do with disseminating official Palestinian statistics, the ICT Business survey, 2021 aims to provide statistical information for decision makers. These data make a substantial contribution toward enriching the database on Information and Communications Technology (ICT) by providing a set of indicators that are important in order to meet local needs and are consistent with international recommendations. The ICT indicators help to determine the extent of progress and economic growth in the Palestinian economy through the revolutionary impact of information and communication technologies that have become a feature of this era.

This survey studied the mechanisms and characteristics of use and access to the basic tools of ICT, such as (mobile phones, computers, internet, in addition to a group of advanced technologies that have been increasingly used in recent times). The survey aims primarily to provide comprehensive statistical data on the availability and use of ICT tools in economic enterprises according to their major economic activities, workforce size, location and goals, in addition to the main features of ICT use.

Geographic coverage

Palestine

Analysis unit

Enterprises

Universe

Target Population Target population of ICT business survey included of all -profit non-governmental enterprises that work in any of the following activities (industry, construction, internal trade, services transportation and storage, information and communication, finance and insurance).

Sampling Frame The sampling frame is the list of all economic enterprises that work in any of the following activities (industry, construction, internal trade, services transportation and storage, information and communication, finance and insurance) enumerated in the Establishments Census, 2017.

Sample Size The estimated sample size is 3,615 economic enterprises, of which 2,872 economic enterprises responded (2,051 in the West Bank and 821 in Gaza Strip).

Sampling Design The sample is a regular stratified random sample of one stage.

Sample Strata Enterprises have been divided into three levels, they are namely: First level, geographical classification of enterprises and was classified into two regions: The West Bank and Gaza Strip. Second Level, economic activity of the enterprises was classified according to (ISIC-4) 2 digits. Third level, employment size category of the enterprises was classified according to the number of employees as follow: 1. Enterprises that employ 4 employed persons and less. 2. Enterprises that employ 5-10 employed persons. 3. Enterprises that employ 11-29 employed persons. 4. Enterprises that employ 30 employed persons and more.

Kind of data

Sample survey data [ssd]

Sampling procedure

The sample of the economic surveys series was One-Stage Stratified Systematic Random Sample in which enterprises were divided into two types: the first type covered overall enterprises taken comprehensively, the second type covered enterprises selected in a systematic random way in which the enterprise constituted the sampling unit. Three levels of strata were used to draw up an efficient representative sample: 1. The frame was divided into two geographical locations: the West Bank excluding that part of Jerusalem governorate which was forcefully annexed by Israel following its occupation of the West Bank in 1967, and the Gaza Strip. 2. Strata were created based on the fourth digit of ISIC-4, excluding services sector based on the second in which every activity presents an actual stratum. 3. Within each stratum, new strata were created according to employment size.

According to services sector profit and non-profit enterprises are taking into consideration as a forth level.

The sample size in Palestine (excludes that part of Jerusalem governorate which was forcefully annexed by Israel following its occupation of the West Bank in 1967) in 2016 was 9,491 enterprises out of 143,140 enterprises comprising the survey sampling frame.

Mode of data collection

Computer Assisted Personal Interview [capi]

Research instrument

All of the economic surveys series used the same questionnaire, with a few different characteristics for each survey. The design of the 2016 questionnaire takes into account the major economic variables pertaining to the sector examined and the needs to be met to compile the National Accounts for Palestine. The questionnaire included these variables: 1. The employed persons in enterprise and compensation of these employees. 2. Value of output from the main activity and secondary activity. 3. Production inputs of goods and services. 4. Payments and transfers. 5. Taxes on production. 6. Assets and capital formation.

Cleaning operations

·A specialized field work team with a background in economics was selected and trained theoretically and practically on the surveys' questionnaire. ·The main field work team was selected based on skills acquired from the training course. ·Project management received a daily report on the progress and response rates. ·Programs were designed to check and extract data through the web by project management and field work supervisors. ·A refreshment training course was conducted during the stage of data collection to reinforce the main points made during the training, and to answer questions by field workers about issues they faced in the field. ·Field visits were conducted from the project management team to check and progress of work for all governorates in the West Bank and Gaza Strip. ·Editing: PC-Tablets were used in collecting data in the West Bank and Gaza Strip, the sample was loaded onto the tablets and automated rules applied to the program. ·Coding: After finishing editing process, the completed questionnaires are subject to coding process to be prepared to the data entry process. ·Creation of a data entry program prior to the collection of data to ensure this would be ready in advance. ·A set of validation rules were applied to the program to check the consistency of data. · The efficiency of the program was pre-tested by entering several questionnaires including incorrect information and checking its efficiency in capturing the incorrect information

Response rate

Response rate:93.3%..

Sampling error estimates

Sampling Errors Data of this survey affected by sampling errors due to use of the sample and. Therefore, certain differences were expected in comparison with the real values obtained through censuses. Variance were calculated for the most important indicators as shown in tables below. Dissemination of results at the national level did not pose a problem, but there was high variance in some variables.

Non Sampling Error These types of errors could appear on one or on all of the survey stages that include data collection and data entry; they related to, respondents, fieldworkers, and data entry personnel. To avoid errors and mitigate their impact, a number of procedures were applied to enhance the accuracy of the data through a process of data collection from the field and data processing.

Deactivated_Establishments

Percent of Households that far more than 1 km from Health Care & Dental Clinics Operating Establishments in West Bank by Governorate, 2017.Source:

Population, Housing, and Establishments Census GDB, 2017.

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.

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.

Analysis unit

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

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.

Kind of data

Sample survey data [ssd]

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).

Sampling deviation

No major deviations from the original sample design were made. All sample enumeration areas were accessed and successfully interviewed with good response rates.

Mode of data collection

Computer Assisted Personal Interview [capi]

Research instrument

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

Cleaning operations

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.

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.

Sampling error estimates

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.

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.

PCBS LAYERS Contains Palestine Border, Regions, Governorates, and Localitiies.

Abstract

This survey is based on the health care centers administration records; it provides data on the main indicators of environment in the governmental and non-governmental organizations working in the health care sector, including water, management of health care waste, and management of wastewater

Geographic coverage

Palestinian Territory.

Analysis unit

Health care centers

Universe

The target population of the survey includes all Health Care Centers (Governmental and Non-governmental) in the West Bank, divided into: 1. Governmental Health Care Centers including Ministry of Health, Health Care Military Service, and Lijan Azakah. 2. Non-governmental Health Care Centers including Health Union Committees, Union of Palestine Health Care Relief Committees, Patients Friends Benevolent Society, UNRWA, Red Crescent Society, and Red Cross in the West Bank.

Kind of data

Sample survey data [ssd]

Sampling procedure

The frame for all centers in the health care sector operated by governmental and non-governmental authorities is updated annually by the PCBS through administrative records. The private health care sector was not covered in this report.

Sampling deviation

Not Applicable

Mode of data collection

Other [oth]

Research instrument

The environmental questionnaire was designed in accordance with similar country experiments and according to international standards and recommendations for the most important indicators, taking into account the special situation of the Palestinian Territory.

Cleaning operations

The data processing stage contains of the following operations: - Editing before data entry: all questionnaires were edited again in the office using the same instructions adopted for editing in the fields. - Data entry: In this stage data were entered into the computer, using Access database. The data entry program was prepared to satisfy a number of requirements such as: - Duplication of the questionnaire on the computer screen. - Logical and consistency check of data entered. - Possibility for internal editing of questions answers. - Maintaining a minimum of digital data entry and fieldwork errors. - User-friendly handling. - Possibility of transferring data into another format to be used and analyzed using other statistical analytical systems such as SAS and SPSS

Response rate

Response rate was 93%

This map represent the Proportion of women aged 20-24 years who were married before the age 18 in Palestinian Localities. Source: Palestinian Central Bureau of Statistics, Population, Housing, and Establishments Census 2017.

This indicator is calculated through having the number of women aged 20-24 who were married before age 18 divided by the total number of women aged 20-24 in the population multiplied by one hundred.

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 2023. 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.

Geographic coverage

Palestine, West Bank, Gaza strip

Analysis unit

Household, Individual

Universe

All Palestinian households and individuals (10 years and above) whose usual place of residence in 2023 was in the state of Palestine.

Kind of data

Sample survey data [ssd]

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 sample size is 8,040 households.

Sampling 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, camps).

Mode of data collection

Computer Assisted Personal Interview [capi]

Research instrument

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 above) about computer use, access to the Internet, possession of a mobile phone, information threats, and E-commerce.

Cleaning operations

Field Editing and Supervising

• Data collection and coordination were carried out in the field according to the pre-prepared plan, where instructions, models and tools were available for fieldwork. • Audit process on the PC-Tablet is through the establishment of all automated rules and the office on the program to cover all the required controls according to the criteria specified. • For the privacy of Jerusalem (J1) data were collected in a paper questionnaire. Then the supervisor verifies the questionnaire in a formal and technical manner according to the pre-prepared audit rules. • Fieldwork visits was carried out by the project coordinator, supervisors and project management to check edited questionnaire and the performance of fieldworkers.

Data Processing

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.

Response rate

The response rate reached 83.7%.

Sampling error estimates

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 16.3%.

Abstract

This survey presents data on various environmental households indicators in Palestine, and presents statistical data on water consumption for the household sector by the water source, the methods of solid waste disposal and their main components, the disposal of wastewater, existence of cesspits and water wells. In addition to exposure to noise and air pollution by the source and time.

Geographic coverage

Palestine

Analysis unit

Households

Universe

All Palestinians households living in West Bank and Gaza Strip.

Kind of data

Sample survey data [ssd]

Sampling procedure

The sampling frame consists of all enumeration areas which were enumerated in 2007, each numeration area consists of buildings and housing units with average of about 124 households in it. 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 3,184 households.

Sample Design: The sample of this survey is a part of the main sample of Labor Force Survey (LFS) which has been implemented periodically every quarter by PCBS since 1995, so this survey is implemented every quarter in the year (distributed over 13 weeks), the survey attached with the LFS in the third quarter of 2013, and the sample contain of 6 weeks from the eighth week to the thirteen week from the round 70 of labor force survey.

The sample is two stage stratified cluster sample: First stage: selection of a stratified systematic random sample of 206 enumeration areas for the semi round . Second stage: selection of a random area sample of average 16 households from each enumeration area selected in the first stage.

Mode of data collection

Face-to-face [f2f]

Research instrument

The environmental questionnaire was designed in accordance with similar international experiences and with international standards and recommendations for the most important indicators, taking into account the special situation of Palestine.

Cleaning operations

The data processing stage consisted of the following operations: Editing and coding before data entry: All questionnaires were edited and coded in the office using the same instructions adopted for editing in the field.

Data entry: Programming household environmental survey questionnaire on the handheld devices, where the data has been entered directly through handheld devices in the West Bank, either with regard to Jerusalem J1 (that part of Jerusalem which were annexed by Israel in 1967) and Gaza Strip data was entered into the computer in the offices of Ramallah and Gaza. At this stage, data was entered into the computer using a data entry template developed in Access. The data entry program was prepared to satisfy a number of requirements such as: - To prevent the duplication of the questionnaires during data entry. - To apply integrity and consistency checks of entered data. - To handle errors in user friendly manner. - The ability to transfer captured data to another format for data analysis using statistical analysis software such as SPSS.

Response rate

Response rate: 85.3%

Sampling error estimates

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, the variance table is attached with the final report. There is no problem to disseminate results at the national level and regional level (North, Middle, South West Bank, Gaza Strip) and locality type level.

The implementation of the survey encountered non-response where the case (household was not present at home ) during the fieldwork visit and the case ( housing unit is vacant) become the high percentage of the non response cases. The total non-response rate reached 10% which is very low once compared to the household surveys conducted by PCBS, The refusal rate reached 3.3% which is very low percentage compared to the household surveys conducted by PCBS, and the reason is the short and clear questionnaire .

Abstract

The central statistical offices in most countries place heavy emphasis on constructing sound databases for all activities within the services sector. PCBS’ Services Statistics Program is part of the Economic Statistics Program, which is part of the larger program for establishing the System of Official Statistics for Palestine. PCBS initiated, in the reference year 1994, the economic surveys series. The series includes, in addition to the services survey, surveys on industry, internal trade construction-contractors, and transport and storage sectors for the purpose of establishing a time series data base of economic activities in line with international recommendations specified in System of National Account (SNA) 93 and in the UN manual for Services Statistics. The sampling frame for the different economic surveys was based on the findings of the 2007 Establishment Census conducted by PCBS.

Objectives: The objective of the survey was to obtain data on:

1. Number of enterprises and persons engaged in services by activity and location.
2. Value of output, intermediate consumption and stocks.
3. Value added components.
4. Payments and transfers.
5. Capital formation.
6. Contribution of the surveyed activities to the GDP and other National Accounts variables.

Target Population

PCBS depends on the International and Industrial Classification of all economic activities, version 3, (ISIC - 3) by the United Nation to classify the economic activities. All enterprises and establishments are classified according to the Establishments Census 2007, which works in agreement with (ISIC - 3).
The services survey covers the following activities: 1. Hotels and Restaurants 2. Real Estate, Renting and Business Activities 3. Education 4. Health and Social Work 5. Other Community, Social and Personal Service Activities.

Geographic coverage

West Bank and Gaza Strip.

Analysis unit

Enterprise constitutes the primary sampling unit (PSU)

Universe

Sample from Services Enterprises (private sector).

Kind of data

Sample survey data [ssd]

Sampling procedure

Sample and Frame

The sample of the Services Survey is a single-stage stratified random - systematic sample in which the enterprise constitutes the primary sampling unit (PSU). Four levels of strata were used to arrive at an efficient representative sample (i.e. economic activity, size of employment and geographical levels, the kind of profit or non profit). The sample size amounted to 2,267 enterprises out of the 24,024 enterprises that comprise the survey frame in the Palestinian Territory.

Mode of data collection

Face-to-face [f2f]

Research instrument

There are two forms of the services survey questionnaire 2009 of the Palestinian Territory, the first one is related to household and branches, and the second is related to non-financial companies sector. The questionnaire contains the following main variables: 1. Number of employees in a company and their compensations. 2. The output of the main and second activities. 3. Goods production inputs. 4. Various payments and transfers. 5. Taxes on production and fees. 6. Enterprises assets.

Cleaning operations

Data processing: For ensuring quality and consistency of data, a set of measures were taken into account for strengthening accuracy of data as follows: - Preparing data entry program before data collection for checking readiness of the program for data entry. - A set of validation rules were applied on the program for checking consistency of data. - Efficiency of the program was checked through pre-testing in entering few questionnaires, including incorrect information for checking its efficiency, in capturing these information. - Well trained data keyers were selected and trained for the main data entry. - Weekly or biweekly data files were received by project management for checking accuracy and consistency, notes of correction are provided for data entry management for correction.

Response rate

• Sample size in 2009 of services sector was 2,290 enterprises (including economic activity change) in the Palestinian Territory:
• Non-response cases: 645
• Over coverage cases: 89
• Net sample: 2,290-89= 2,201
• Response rate: 70.7%
• Non-response rate: 29.3%

Sampling error estimates

Statistical Errors: The findings of the survey are affected by statistical errors due to using sampling in conducting the survey for the units of the target population, which increases the chances of having variances from the actual values we expect to obtain from the data had we conducted the survey using comprehensive enumeration.. The variance of the key goods in the survey was computed and dissemination was carried out on the level of the Palestinian Territory for reasons related to sample design and computation of the variance of the different indicators.

Non-Statistical Errors These types of errors could appear on one or all the survey stages that include data collection and data entry: Response errors: these types of errors are related to, responders, fieldworkers, and data entry personnel's. And to avoid mistakes and reduce the impact has been a series of actions that would enhance the accuracy of the data through a process of data collection from the field and the data processing.

Abstract

THE CLEANED AND HARMONIZED VERSION OF THE SURVEY DATA PRODUCED AND PUBLISHED BY THE ECONOMIC RESEARCH FORUM REPRESENTS 100% OF THE ORIGINAL SURVEY DATA COLLECTED BY THE PALESTINIAN CENTRAL BUREAU OF STATISTICS

The basic goal of the Household and Consumption Survey is to provide a necessary database for formulating national policies at various levels. This survey provides the contribution of the household sector to the Gross National Product (GNP). It determines the incidence of poverty, and provides weighted data which reflects the relative importance of the consumption items to be employed in determining the benchmark for rates and prices of items and services. Furthermore, this survey is a fundamental cornerstone in the process of studying the nutritional status in the Palestinian territory.

The raw survey data provided by the Statistical Agency were cleaned and harmonized by the Economic Research Forum, in the context of a major project that started in 2009. During which extensive efforts have been exerted to acquire, clean, harmonize, preserve and disseminate micro data of existing household surveys in several Arab countries.

Geographic coverage

The target population in the sample survey comprises all households living in the West Bank and Gaza Strip, excluding nomads and students.

Analysis unit

1- Household/family. 2- Individual/person.

Universe

The survey covered a national sample of households and all permanently residing individuals in surveyed households.

Kind of data

Sample survey data [ssd]

Sampling procedure

THE CLEANED AND HARMONIZED VERSION OF THE SURVEY DATA PRODUCED AND PUBLISHED BY THE ECONOMIC RESEARCH FORUM REPRESENTS 100% OF THE ORIGINAL SURVEY DATA COLLECTED BY THE PALESTINIAN CENTRAL BUREAU OF STATISTICS

Sample and Frame:

In the absence of a population census since 1967, the major task, with regard to constructing master sample, was developing a frame of suitable units covering the whole country. Such units have been used as the PSUs (Primary Sampling Units) in the first stage of selection. For the second stage of selection, all PSUs have been listed in the field at the household level. This provided a sampling frame for selecting the households.

Sample design:

The sample design is, therefore, a stratified two-stage design for households selected to be interviewed. Four levels of stratification have been made: 1. Stratification by District. 2. Stratification by place of residence, which comprises: (a) Municipalities (b) Villages (C) refugees camps 3. Stratification by locality size 4. Stratification by cell identification in that order

Sample size:

The sample size is about 4893 households allowing for non-response and related losses.

Target cluster size:

The target cluster size or "sample-take" is the average number of households to be selected per PSU. In this survey, the sample take is around 10 households.

Detailed information/formulas on the sampling design are available in the user manual.

Sampling deviation

The standard errors for the main survey estimates were calculated to give the user an idea of their reliability or precision. Whereas, the variance was calculated using the method of ultimate clusters within any domain of estimation.

Detailed information on the sampling design deviation and calculation of the variance is available in the user manual.

Mode of data collection

Face-to-face [f2f]

Research instrument

The PECS questionnaire consists of two main sections:

First section: Certain articles / provisions of the form filled at the beginning of the month, and the remainder filled out at the end of the month. The questionnaire includes the following provisions:

Cover sheet: It contains detailed and particulars of the family, date of visit, particular of the field/office work team, number/sex of the family members.

Statement of the family members: Contains social, economic and demographic particulars of the selected family.

Statement of the long-lasting commodities and income generation activities: Includes a number of basic and indispensable items (i.e, Livestock, or agricultural lands).

Housing Characteristics: Includes information and data pertaining to the housing conditions, including type of shelter, number of rooms, ownership, rent, water, electricity supply, connection to the sewer system, source of cooking and heating fuel, and remoteness/proximity of the house to education and health facilities.

Monthly and Annual Income: Data pertaining to the income of the family is collected from different sources at the end of the registration / recording period.

Second section: The second section of the questionnaire includes a list of 54 consumption and expenditure groups itemized and serially numbered according to its importance to the family. Each of these groups contains important commodities. The number of commodities items in each for all groups stood at 707 commodities and services items. Groups 1-21 include food, drink, and cigarettes. Group 22 includes homemade commodities. Groups 23-45 include all items except for food, drink and cigarettes. Groups 50-54 include all of the long-lasting commodities. Data on each of these groups was collected over different intervals of time so as to reflect expenditure over a period of one full year.

Cleaning operations

Raw Data

Harmonized Data

• The Statistical Package for Social Science (SPSS) is used to clean and harmonize the datasets.
• The harmonization process starts with cleaning all raw data files received from the Statistical Agency.
• Cleaned data files are then all merged to produce one data file on the individual level containing all variables subject to harmonization.
• A country-specific program is generated for each dataset to generate/ compute/ recode/ rename/ format/ label harmonized variables.
• A post-harmonization cleaning process is then conducted on the data.
• Harmonized data is saved on the household as well as the individual level, in SPSS and converted to STATA format.

Response rate

Excluding the uninhabited housing units, the survey sample is (4806) households, from which (3422) households are in the West Bank, and (1384) households are in Gaza Strip. A total of (4584) households completed the questionnaire: (3213) household in the West bank and (1335) households in Gaza Strip. The non-response rate is, accordingly, 5.7% for all the Palestinian territory.

Sampling error estimates

Generally, surveys samples are exposed to two types of errors. The statistical errors, being the first type, result from studying a part of a certain society and not including all its sections. And since the Household Expenditure and Consumption Surveys are conducted using a sample method, statistical errors are then unavoidable. Therefore, a potential sample using a suitable design has been employed whereby each unit of the society has a high chance of selection. Upon calculating the rate of bias in this survey, it appeared that the data is of high quality. The second type of errors is the non-statistical errors that relate to the design of the survey, mechanisms of data collection, and management and analysis of data. Members of the work commission were trained on all possible mechanisms to tackle such potential problems, as well as on how to address cases in which there were no responses (representing 3.1%).

Abstract

Focuses mainly on labour force key indicators, main characteristics of the employed, unemployed, underemployed and persons outside labour force, labour force according to level of education, distribution of the employed population by occupation, economic activity, place of work, employment status, hours and days worked and average daily wage in NIS for the employees.

Geographic coverage

The Data are representative ONLY the West Bank, locality type (urban, rural, camp)

Analysis unit

Household, Individual.

Universe

The survey covered all the Palestinian persons aged 10 years and above who are a usual residence in State of Palestine

Kind of data

Sample survey data [ssd]

Sampling procedure

The sample of this survey is implemented periodically every quarter by PCBS since 1995, where this survey is implemented every quarter in the year (distributed over 13 weeks). The sample is a two-stage stratified cluster sample with two stages: First stage: selection of a stratified sample of 536 EA with (pps) method. Second stage: selection of a random area sample of 15 households from each enumeration area selected in the first stage. The estimated sample size in third quarter was 8,040 households, 4,216 households completed only in the West Bnak, and no questionnaires completed in Gaza Strip because of the Israeli war on Gaza Strip in q3 2024.

Mode of data collection

Computer Assisted Personal Interview [capi]

Research instrument

The lfs questionnaire consists of four main sections: Identification Data: The main objective for this part is to record the necessary information to identify the household, such as, cluster code, sector, type of locality, cell, housing number and the cell code. Quality Control: This part involves groups of controlling standards to monitor the field and office operation, to keep in order the sequence of questionnaire stages (data collection, field and office coding, data entry, editing after entry and store the data. Household Roster: This part involves demographic characteristics about the household, like number of persons in the household, date of birth, sex, educational level…etc. Employment Part: This part involves the major research indicators, where one questionnaire had been answered by every 10 years and over household member, to be able to explore their labour force status and recognize their major characteristics toward employment status, economic activity, occupation, place of work, and other employment indicators.

Cleaning operations

All questionnaires were edited after data entry in order to minimize errors related data entry.

Response rate

The response rate in the West Bank was 84.3% in the third quarter 2024

Sampling error estimates

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, the variance table is attached with the final report. There is no problem to disseminate results at the national level and at the level of governorates of the West Bank .

Data appraisal

The concept of data quality encompasses various aspects, started with planning of the survey to how to publish, understand and benefit from the data. The most important components of statistical quality elements are accuracy, comparability and quality control procedures