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.

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.

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

Population, Housing, and Establishments Census GDB, 2017.

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

Abstract

IPUMS-International is an effort to inventory, preserve, harmonize, and disseminate census microdata from around the world. The project has collected the world's largest archive of publicly available census samples. The data are coded and documented consistently across countries and over time to facillitate comparative research. IPUMS-International makes these data available to qualified researchers free of charge through a web dissemination system.

The IPUMS project is a collaboration of the Minnesota Population Center, National Statistical Offices, and international data archives. Major funding is provided by the U.S. National Science Foundation and the Demographic and Behavioral Sciences Branch of the National Institute of Child Health and Human Development. Additional support is provided by the University of Minnesota Office of the Vice President for Research, the Minnesota Population Center, and Sun Microsystems.

Geographic coverage

National coverage

Analysis unit

Households

UNITS IDENTIFIED: - Dwellings: Yes - Households: Yes - Individuals: Yes - Group quarters: No - Special populations: Yes (camp)

UNIT DESCRIPTIONS: - Dwellings: A building or part of a building constructed for one household only, with one or more independent entrances leading to the public road without passing through another housing unit. The unit might not be constructed for living purposes but was found occupied with a household during the enumeration. Likewise, the unit might be used for habitation or for work or both. It might be closed, vacant, or occupied by one or more households during the census. - Households: One person or a group of persons with or without a family relationship who live in the same housing unit or part of the same housing unit, share meals, and make joint provisions of food and other essentials of living. - Group quarters: A place constructed for the residence of a group of individuals, who live therein and benefit from the services it provides. It may be comprised one or more buildings or one or more housing units. Examples include hotels, hostels, elderly and orphan homes, psycho-therapy clinics and hospitals, collective households for university students, collective living quarters (camps) at the passages, and housing units of priests and nuns in the monasteries and churches (who do not have other households).

Universe

(1) All persons present in the Palestinian territory on the reference date, irrespective of nationality, purpose of stay and place of residence in the Palestinian territory. (2) All Palestinians temporarily living abroad (for less than one year prior to the night of the reference date) and who have a usual place of residence in the Palestinian territory (these persons are enumerated as part of their households). (3) All Palestinians studying abroad irrespective of the study period and the period of stay abroad, and all Palestinian detainees in the Israeli jails regardless of the detention period.

Kind of data

Census/enumeration data [cen]

Sampling procedure

MICRODATA SOURCE: Palestinian Central Bureau of Statistics

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

SAMPLE UNIT: Households

SAMPLE FRACTION: 10%

SAMPLE SIZE (person records): 259,191

Mode of data collection

Face-to-face [f2f]

Research instrument

The Population and Housing Conditions booklet, which includes form number 3 PHC and form number 12 PHC.

Response rate

COVERAGE: All households living in the West Bank and Gaza Strip except those living in those parts of Jerusalem

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.

Geographic coverage

National coverage

Analysis unit

households/individuals

Kind of data

survey

Frequency of data collection

Quarterly

Sampling procedure

Sample size:

Abstract

Objectives: To provide information about the general characteristics of persons with disability or difficulty through a specialized questionnaire designed to meet the needs of the Palestinian Territory, the recommendation of the World Health Organization (WHO) and the Washington Group for Disability Statistics.

Reference Period: 1st quarter of 2011

Periodicity of Data Collection: Every 10 years

Geographic coverage

Areas excluded: Israeli settlements

Analysis unit

Individuals

Universe

Population groups: All age groups

Total population covered: 97.6%

Economic activities: All economic activities

Sectors covered: All sectors

Labor force status: Employed persons, unemployed persons, persons outside labour force

Status in Employment: Employees, employers, own-account workers, contributing family workers, members of producers' cooperatives

Establishments: NR

Other limitations: No

Classifications: Sex, age, level of education, other personal characteristics (e.g. marital status), status in employment, occupation, economic activity

Cross-classification: No

Kind of data

Census/enumeration data [cen]

Frequency of data collection

Periodicity of Data collection: Every 10 years

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.

Operating_Establishments

Abstract

Countries collect official statistics on energy use due to its vital role in the infrastructure, economy and living standards of any given country.

In Palestine, additional attention is warranted for energy statistics due to scarce natural resources, the high cost of energy and high population density. These factors demand comprehensive and high quality statistics.

Due to high residential consumption of energy, PCBS decided to conduct a special Household Energy Survey to provide high quality data about energy consumption by type of energy, the different energy consuming devices used by households, and energy consumption behavior. To this end, a questionnaire was attached as a module within the Area Statistics Survey.

PCBS conducted the Household Energy Survey to cover the month of January 2015 to ascertain energy consumption behavior.

The survey aimed to provide data on energy consumption by households and also on public energy consumption behavior and patterns by type of energy.

The survey covered data on energy indicators in households in Palestine, including statistical data on electricity and other types of fuel consumption in activities like cooking, baking, heating, lighting and water heating.

The report of the Household Energy Survey (January 2015) comprises three chapters: the first chapter briefly describes the main findings; the second chapter presents the methodology used in the survey, including the questionnaire design, sampling design, field work operations, data processing, data quality and technical notes; while the third chapter describes the concepts and definitions.

Geographic coverage

Palestine.

Analysis unit

Households

Universe

It consists of all Palestinian households who are staying normally in Palestine during 2015

Kind of data

Sample survey data [ssd]

Sampling procedure

The sampling frame was based on master sample which was update in 2013-2014 for (Expenditure and Consumption Survey (PECS) and Multiple Indicator Cluster Survey (MICS)) surveys, and the frame consists from enumeration areas. These enumeration areas are used as primary sampling units (PSUs) in the first stage of the sampling selection.

Sample size: The sample size is 7,690 households for Palestine level, 6,609 households responded.

Sampling Design: The sample is two stage stratified cluster sample as following:

First stage: selection of a PPS random sample of 370 enumeration areas.

Second stage: A random area sample of 20 households from each enumeration area selected in the first stage.

Sample strata: The population was divided by: 1- Governorate 2- locality type (Urban, rural, camps)

Mode of data collection

Face-to-face [f2f]

Research instrument

The design of the questionnaire was based on the experiences of similar countries as well as on 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 prior to data entry: all questionnaires were edited and coded in the office using the same instructions adopted for editing in the field.

Data entry: The household energy survey questionnaire was programmed onto handheld devices and data were entered directly using these devices in the West Bank. With regard to Jerusalem J1 and the Gaza Strip, data were entered into the computer in the offices in Ramallah and Gaza. At this stage, data were entered into the computer using a data entry template developed in Access. The data entry program was prepared to satisfy a number of requirements: · To prevent the duplication of questionnaires during data entry. · To apply checks on the integrity and consistency of entered data. · To handle errors in a user friendly manner. · The ability to transfer captured data to another format for data analysis using statistical analysis software such as SPSS.

Response rate

percent was about 89.5%.

Sampling error estimates

Sampling Errors Data of this survey may be affected by sampling errors due to use of a sample and not a complete enumeration. Therefore, certain differences are anticipated in comparison with the real values obtained through censuses. The variance was calculated for the most important indicators: the variance table is attached with the final report. There is no problem in the dissemination of results at national and regional level (North, Middle, South of West Bank, Gaza Strip) and by locality. However, the indicator of averages of household consumption for certain fuels by region show a high variance.

8.1.1_ Annual growth rate of real GDP per capita

Palestine-population-admin-0-to-2_BySex and agegroup_2017

Cultural_Centers_Ar

Number of Palestinian Localities which have no Secondery Educational Operating Establishments, by Governorate, 2017.Source:

Population, Housing, and Establishments Census GDB, 2017.

Poverty in Palestine 2017

Deactivated_Establishments

Abstract

Violence Survey in the Palestinian Society, 2011 was designed to provide data and indicators about the types and acts of violence against women, children, unmarried females, and the elderly.

Geographic coverage

west bank & gaza strip

Analysis unit

Household, individual

Universe

1. Currently or previously married women.
2. Unmarried young people (males and females) of age group of 18-64 years and over.
3. Children of age group of 12-17 years.
4. The elderly of 65 years old and over.
5. Husbands s

Kind of data

Sample survey data [ssd]

Sampling procedure

The sample size 5,811 households located in 300 enumeration areas in the Palestinian Territory, distributed by 3,891 households in West Bank and 1,920 in Gaza Strip. The design considered dissemination on governorate level and the localities affected by the annexation wall. The sample is a statistical clustered strata sample (PPS) of two stages: The first stage: A cluster random probability sample that is proportional to the size of each enumeration area of households (PPS) composed of (190) enumeration areas were selected. The second stage: 30 households were selected, from each enumeration area that was selected in the first stage, in systematic random way. Kish tables were used to select one eligible women (ever married women) and one eligible youth aged 18-64 years and one eligible child aged 12-17 years, when there are more than one eligible individuals in these targeted group in same household.

Mode of data collection

Face-to-face [f2f]

Research instrument

The questionnaire included the classification questions that are in all questionnaires such as education, age, labour force status and marital status which usually have been inserted in most surveys and household survey. Furthermore; a questionnaire related to household was designed to measure life quality and the availability of durable goods and recognizing economic status of the household.

Five sections were designed for the questionnaire: the first one was designed for women who were ever married within the age group of (18-64), the second was designed for spouses, the third one was designed for never married individuals aged (18-64) years, the fourth was designed for children (12-17 years) and the last section was designed for the elderly (65) years of age and over.

Cleaning operations

Data entry was done by using ACCESS software program with an amendment on entry screens, and then many logical checks were established to ensure that data entry quality, as well as putting queries to testing and cleaning entered data and also these queries did examine the variables at the level of questionnaire so far. Data entry began on 16/07/2011, and during it, a training on using the "ACCESS software program" for data entry and verification was conducted, and data entry was centrally done in 4 governorates.

Response rate

" Response rate in the Palestinian Territory 93.5% while in the West Bank was 92.1% and in Gaza Strip it was 94.9%.

Sampling error estimates

Detailed information on the sampling Error is available in the Survey Report.

Data appraisal

The advisor of the Violence Survey in the Palestinian Society, 2011 reviewed the data for the purpose of evaluating its quality and logic. Some specialist on violence also reviewed the data; they affirmed the data quality. Also, the data evaluation was done through reviewing some regional and international studies and comparison with their results. In general, the entire stages of checks proved the accuracy and high quality of the data.

Number of deaths due to road traffic fatal injuries (within 30 days of accident), per 100,000 population (age-standardized)

Percentage of Households that Don't Use Improved Drinking Water Sources by Governorate, 2017.Source: Population, Housing and Establishments Census, 2017.