Some Task Ideas:

Analyze Fatality Trends: Explore the dataset and track the trends in fatalities over time. Identify any significant changes, spikes, or declines in the number of fatalities. Demographic Analysis:Conduct a demographic analysis by examining the age, gender, and citizenship of the individuals killed. Determine if there are any notable patterns or disparities in the data. Geospatial Analysis: Utilize the event location, district, and region information to perform geospatial analysis. Visualize the distribution of fatalities on a map and identify areas that have experienced higher levels of violence. Hostilities Participation Analysis:Investigate the extent of individuals' participation in hostilities before their deaths. Analyze the relationship between participation and the circumstances surrounding each fatality. Injury Analysis: Examine the types of injuries inflicted on individuals. Identify the most common types of injuries and assess their severity. Weapons Used: Analyze the ammunition and means by which the individuals were killed. Determine the most frequently used weapons or methods and evaluate their impact. Victim Profiles: Create profiles of the victims based on the available data such as age, gender, citizenship, and place of residence. Identify common characteristics among the victims.

Full Time Employment in Palestine increased to 705700 Persons in the fourth quarter of 2024 from 693700 Persons in the third quarter of 2024. This dataset provides - Palestine Full Time Employment- actual values, historical data, forecast, chart, statistics, economic calendar and news.

The Palestinian Family Survey (MICS) was carried out in 2010 by the Palestinians Central Bureau of Statistics (PCBS), with UNICEF’s and UNPA’s financial and technical support. The Palestinian Family Survey is a national household survey programme developed by PCBS based on international standard demographic health surveys as well as MICS surveys. The Palestinian Family Survey was conducted as part of the fourth global round of MICS surveys (MICS4). The survey provides up to date information on the health, economic, and social situation of women and children; in addition to providing information on characteristics of the family in which each woman and child live as well as the main indicators about the categories of youth and elderly. This offers a study, analysis, and understanding of the actual indicators and their relationship with demographic, social, economic, and environmental variables. The survey also measures the major indicators which allows countries to monitor their progress towards achieving the Millennium Development Goals (MDGs) besides measuring the level of fulfilling other internationally agreed upon commitments; in addition to enabling policy and decision makers, and intervention programs to evaluate the plans and programs, amend them, and locate the areas of intervention based on the results. The carry out of the survey also aims at updating the databases on women and children as well as building and enhancing the technical staff capabilities of carrying out surveys and analyzing data out of them. The Palestinian Family survey conducted in 2010 was led by a technical team from the Palestinians Central Bureau of Statistics, UNICEF, and UNFPA, and Ministry of Health. The Palestinian Family Survey was conducted for a representative sample of the State of Palestine. The survey was designed as a multi- stage cluster covering all the State of Palestine including two geographic areas; The West Bank which included 11 governorates: (Jenin, Tubas, Tulkarm, Qalqiliya, Nablus, Ramallah & Al-Bireh, Jerusalem, Jericho & Al-Aghwar, Bethlehem, Hebron) and the Gaza Strip which include governorates (Gaza, Khan Yunis, Rafah, Deir El Balah and North Gaza). Of the 15,355 households selected in the sample, results showed that the number of occupied households were 14,817 of which 13,629 households were successfully interviewed during the survey, giving a response rate of 92 percent. There were 13,982 women in the 15-49 age group of which a total of 11,173 eligible women were successfully interviewed, achieving a response rate of 80 percent. In addition, 8,024 children were identified in the household questionnaire for whom a total of 7,900 mothers or child caretakers were interviewed. The total response rates of individual interviews are calculated as 73 percent of eligible women and 90 percent with children under 5 respectively. The total households interviewed reached (13,629) households, which included 81,510 individuals members who were listed. Of these, 41,379 were males and 40,131 were females, yielding a sex ratio of 103 males per hundred females.

The Palestinian Multiple Indicator Cluster Survey (PMICS) was carried out in 2014 by Palestinian Central Bureau of Statistics in collaboration with Ministry of Health, as part of the global MICS programme. Technical and financial support was provided by the Palestinian Government, the United Nations Children’s Fund (UNICEF) and United Nations Population Fund (UNFPA). The global MICS programme was developed by UNICEF in the 1990s as an international household survey programme to support countries in the collection of internationally comparable data on a wide range of indicators on the situation of children and women. MICS surveys measure key indicators that allow countries to generate data for use in policies and programmes, and to monitor progress towards the Millennium Development Goals (MDGs) and other internationally agreed upon commitments. The Palestinian Multiple Indicator Cluster Survey has as its primary objectives: To furnish data needed for monitoring progress toward goals established in the Millennium Declaration and other internationally agreed upon goals, as a basis for future action. To contribute to the improvement of data and monitoring systems in Palestine and to strengthen technical expertise in the design, implementation, and analysis of such systems. The Palestinian Multiple Indicator Cluster Survey, 2014 was conducted for a representative sample of Palestine. The survey was designed as a multi- stage cluster sample covering the entire country including two geographic regions; The West Bank which includes 11 governorates: (Jenin, Tubas, Tulkarm, Qalqiliya, Salfit, Nablus, Ramallah and Al Bireh, Jerusalem, Jericho and Al Aghwar, Bethlehem, Hebron) and Gaza Strip which includes 5 governorates (Gaza, Khan Yunis, Rafah, Deir El Balah and North Gaza) and was stratified according to urban, rural and camp areas. Of the 11,125 households selected in the sample, results showed that the number of occupied households were 10,568 of which 10,182 households were successfully interviewed during the survey, giving a response rate of 96 percent. There were 13,964 women in the 15-49 age group of which a total of 13,367 eligible women were successfully interviewed, achieving a response rate of 96 percent. In addition, the number of children was 7,919 child in the Household Questionnaire of which a total of 7,816 child were interviewed giving a response rate of 99 percent. The total households interviewed included 56,367 individual members who were listed. Of these, 28,542 were males and 27,825 were females with a sex ratio of 103 males per hundred females. It is noted that the Palestinian population is a young one. The percentage of individuals in the age group 0-17 years was 46 percent, whereas the percentage of individuals in the age group 18 and above was 54 percent. According to economic and social dependency categories, 39 percent individuals were in the age group 0-14 years, 58 percent in the age group 15-64 years which is the age category of economically active individuals; and 3 percent in the age group 65 years and over. The average household size in Palestine in 2014 was about 5.5 persons. About 91 percent of households are headed by men and about 9 percent of households are headed by women. The findings pertain to March-April 2014, when the fieldwork was conducted.

Exports in Palestine increased to 135.80 USD Million in April from 129.10 USD Million in March of 2025. This dataset provides the latest reported value for - Palestine Exports - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Abstract

The 2000 Health Survey in the West Bank and Gaza Strip (MICS2) provides reliable estimates for several indicators, which were suggested to Palestinian Central Bureau of Statistics (PCBS) by decision makers, planners, and researchers in the field of health through a series of "User-Producer Dialogue"workshops. The survey includes also the indicators of the "End of Decade Goals Survey, MICS2" which were developed in cooperation with UNICEF, and the indicators of the "Baseline Health Survey" which were developed in cooperation with UNFPA.

The 2000 Health Survey in the West Bank and Gaza Strip was implemented on the eve of the INTIFADA in Palestine. The release of this report comes after less than three months since the beginning of the uprising. There is documented evidence that up to this time in the life of the INTIFADA, more than 100 Palestinian children have been killed and more than 3,500 are injured by the Israeli army and the Israeli settlers. International as well as local specialized agencies have indicated that hundreds of thousands of Palestinian children have been deeply affected psychologically by the events. The Israeli harsh measures and their continued aggression against the Palestinian population have left thousands of Palestinian households with no means of protection or support for their children. In view of these tragic developments, the results of this Survey could be used as a fairly good and reliable baseline to compare with when studying the impact of Israeli measures and actions against Palestinian children and households.

The Health Survey of 1996 and the Demographic Survey of 1995 were among the pioneering household surveys in the establishment phase of Palestinian Central Bureau of Statistics (PCBS). The two surveys where complementary to each other and were designed to provide detailed accounting and baseline data and statistics on the demographic and health status of Palestinian households and individuals. An update of the health survey was deemed necessary by PCBS and the Ministry of Health in order to update the baseline data on health situation in Palestine. The current survey (the 2000 health Survey in the West Bank and Gaza Strip) comes as a timely update ofthe various indicators, which were measured by the previous surveys, and as an answer to the statistical needs of the planners within government, NGO's, and specialized international agencies which are mandated to work in Palestine. This survey is in fact a realization of a partnership, which was formulated between PCBS, Ministry of Health, UNFPA and UNICEF in order to pool the demand side on data and produce a relevant data set for various stakeholders. The survey has tried to provide estimates for many indicators within the framework of UNICEF's efforts to support countries to come up with assessment of End Decade Goals as set out by UNICEF. It also tried to come up with the baseline data, which could be used in drafting a country strategy and a CPA exercise by UNFPA. The survey has also tried to provide enough details to allow the Ministry of Health finalize its strategic plan.

Geographic coverage

National

Analysis unit

• Individuals
• Households

Universe

The survey covered all de jure household members (usual residents), all women aged 15-54 years, all children aged 5-17 years and under 5 living in the household.

Kind of data

Sample survey data [ssd]

Sampling procedure

The sample design of the 2000 Health Survey in the West Bank and Gaza Strip (MICS) takes into account the main recommendations of UNICEF for this type of surveys.

The sample provides a subsample of household that receives health services from the Ministry of Health clinics.

The target population consists of all Palestin_ian households that usually reside in the Palestinian Territory. This type of survey concentrates on 2 subpopulations. the first one is ever-married women and aged (15-54) years. the second one is children less than 5 years.

The list of all Palestinian households has been constructed with some identification variables, after finishing the Population Census 1997 processes. The master sample was drowned to be used for different sample surveys. The master sample consists of 481-enumeration area (EA) (the average sizes about 120 households). The master sample is the sample frame of the 2000 Health Survey in the West Bank and Gaza Strip. The selected EAs were divided into small units called cells (with average size of 25 households). One cell per EA was selected.

Different criteria were taken into account when sample size was determined. The level of sampling error for the main indicators was considered, the result could be published at 3 subpopulations. and 10% incomplete questionnaire was assumed. The overall sample was 272 EAs, 178 in the West Bank and 94 in Gaza Strip. The Sample cells increased to 288 cells. 194 in West Bank and 94 in Gaza Strip. The number of households in the sample was 6,349 households, 4,295 in the West Bank and 2,054 in Gaza Strip.

The sample is a stratified multi-stage random sample.

Stratification: Four levels of stratification were made: 1. Stratification by governorates. 2. Stratification by place of residence which comprised: (a) Urban (b) Rural (c) Refugee Camps 3. Stratification by classifying localities, excluding governorate capitals, into three strata based on the ownership of households within these localities of durable goods. 4. Stratification by size locality (number of households).

A compact cluster design was adopted because the sample frame was old. As mentioned above, the first sampling units were divided into small units (cells). Then one cell from each EA was randomly selected.

For that part of Jerusalem, which was annexed after 1967 war, a list of households for the EAs in the frame was completed in 1999. Therefore a compact cluster design was not used in this part, and a random of households from the EAs was selected.

First stage sampling units are the area units (EAs) in the master sample. The second stage-sampling units are cells.

Mode of data collection

Face-to-face [f2f]

Research instrument

The questionnaire was developed by the Palestinian Central Bureau of Statistics after revision and adaptation of the following standard questionnaires: 1. The Health Survey questionnaire, which implemented by Palestinian Central Bureau of Statistics in 1996. 2. Demographic Survey questionnaire, which implemented by Palestinian Central Bureau of Statistics in 1995. 3. UNICEF questionnaire for Multiple Indicator Cluster Survey (MICS II). 4. Standard Demographic and Health survey questionnaire. 5. Other Demographic and Health Survey questionnaire (DHS).

The health survey - 2000 questionnaire consist of three main parts:

1. Household questionnaire which includes the following sections:
2. Control Sheet: which includes items related to quality control sample identification, interview schedule and interview results.
3. Household Roster: includes demographic variables such as age, sex, relation to head of household, date ofbirth and health variables such as health insurance and smoking.

4. Housing section: includes questions on housing conditions, such as water sanitation and iodized salt.

5. Women's Health questionnaire: this questionnaire was designed to collect data for all ever- married women aged less than 55 years, it consists of seven sections:

6. Reproduction.

7. Family planning.

8. Antenatal care and Breastfeeding.

9. Tetanus Toxoid Vaccination.

10. Desire of Reproduction.

11. Public Health and Health Awareness.

12. Knowledge of HIV.

13. Child Health Questionnaire: This module consists of six sections:

14. Birth Registration for children under five years.

15. Child Education for children aged 5-17 years .

16. Child Labor for children aged 5-17 years.

17. Child Health and Child Immunization for children under five years.

18. Child Ophthalmic Health for children under five years.

19. Anthropometry for children under five years.

Cleaning operations

IMPS was used in data entry. Data entry was organized in a number of files, corresponding to the main parts of the questionnaire.

A data entry template was designed to reflect an exact image of the questionnaire, and included various electronic checks: logical check, consisting checks and cross-validation. Continuously thorough checks on the overall consistency of the data files and sample allocation were sent back to the field for corrections.

Data entry started on may 18, 2000 and finished on June 8, 2000. Data cleaning and checking processes were initiated simultaneously with the data entry. Thorough data quality checks and consistency checks were carried out.

Final tabulation of results was performed using statistical package SPSS for Windows (version 8.0) and specialized health and demographic analysis programs.

Response rate

Overall 94.0% of the questionnaires were completed. 93.3% in the West Bank, and 95.5% in Gaza Strip. The response rate was about 97.7%, it was 96.9% in the West Bank and 99.3% in Gaza Strip.

Sampling error estimates

Since the data reported here are based on a sample survey and not on complete enumeration. They are subject to two main types of errors: sampling rrrors and non-sampling errors.

Sampling errors are random outcomes of the sample design, and are, therefore, easily measurable.

Non-sampling errors can occur at the various stages of the survey implementatipn in data collection and data processing, and are generally difficult to be evaluated statistically. They cover a wide range of errors, including errors resulting from non-response, sample frame

Inflation Rate in Palestine increased to 47.57 percent in May from 35.77 percent in April of 2025. This dataset provides the latest reported value for - Palestine Inflation Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Abstract

Socio-Economic Conditions Survey 2018 is a key Palestinian official statistical aspects; it also falls within the mandate of the Palestinian Central Bureau of Statistics (PCBS) to provide updated statistical data on the society conditions and provide data on the most important changes in socio-economic indicators and its trends. The survey came in response to users' needs for social and economic statistical data, and in line with the national policy agenda and the sustainable development agenda. The indicators of Socio-Economic Conditions Survey 2018 covers many socio-economic and environmental aspects, and establishes a comprehensive database on those indicators. Its coverage of a set of sustainable development indicators that are considered as a national and international entitlement. The objective of this survey is to provide a comprehensive database on the most important changes that have taken place in the system of social and economic indicators that PCBS works on, which covers many socio-economic and environmental indicators. It also responds to the needs of many partners and users.The indicators that have been worked on in this survey cover the demographic characteristics of household members, characteristics of the housing unit where household lives, household income, expenses, and consumption, agricultural and economic activities of households, methods used by households to withstand and adapt to their economic conditions, availability of basic services to Palestinian households, assistance received by households and assessment of such assistance, the needs of the Palestinian households to be able to withstand the conditions, the reality of the Palestinian individual's suffering and the quality of life, sustainable development objectives for the survey's relevant indicators.

Geographic coverage

National level: State of Palestine. Region level: (West Bank, and Gaza Strip).

Analysis unit

Households, and individuals

Universe

The target population includes all Palestinian households and individuals with regular residency in Palestine during the survey's period (2018).

Kind of data

Sample survey data [ssd]

Sampling procedure

Sampling and Frame The Sample of the survey is a three-stage stratified cluster systematic random sample of households residing in Palestine.

Target Population The target population includes all Palestinian households and individuals with regular residency in Palestine during the survey's period (2018). Focus was given to individuals aged 18 years and above to complete an annex to the questionnaire, designed for this age group.

Sampling Framework In previous survey rounds, sampling was based on census 2007, which includes a list of enumeration areas. An enumeration area is a geographic region with buildings and housing units averaging 124 housing units. In the survey design, they are considered as Primary Sampling Units (PSUs) at the first stage of selecting the sample. Enumeration areas of 2007 were adapted to the enumeration areas of 2017 to be used in future survey rounds. Target sample buildings were set up in 2015 electronically by using Geographic Information Systems (GIS), where the geospatial join tool was used within ArcMap 10.6 to identify the buildings selected in the first stage of the sample design of 8,225 households taken from the general frame buildings for enumeration areas of 2007 which falls within the boundaries of enumeration areas that were updated during the population, housing and establishments census 2017. Only the buildings for the year 2017 were used to link the sites of the sample buildings to the targeted enumeration areas, to ensure tracking households that moved after 2015.

Sample Size The survey sample comprised 11,008 households at the total level, where 9,926 households responded, they are divided as follows: 1. Fixing the sample of the survey on the Impact of Israeli Aggression on Gaza Strip in 2014 and Socio-Economic Conditions of the Palestinian Households - Main Findings, which was conducted in 2015, with a sample of 8,225 households in the previous round (household-panel),where 7,587 households responded. 2. Sample of new households that consisted of separated individuals (split households) totaled 2,783 households, where 2,339 households responded.

Sample Design

Three-stage stratified cluster systematic random sample: - Stage I: Selection of enumeration areas represented in the previous round of the survey on the socioeconomic conditions 2015 including 337 enumeration areas, in addition to enumeration areas in which individuals separated from their households and formed new households and households that changed their place of residence and address to other enumeration areas. - Stage II: Visit the same households from previous round of survey on socioeconomic conditions 2015 (25 households in each enumeration area). Households that changed their place of residence or registered address will be tracked in the existing database to search for the updated data registered in questionnaire. Individuals separated from their households from the previous round and formed new households or joined new households were tracked. - Stage III: A male and female member of each household in the sample (old and new) were selected for stage III among members aged 18 years and above, using Kish (multivariate) tables to fill in the questionnaire for household members aged 18 years and above. Taking into account that the household whose number is an even number in the sample of the enumeration area, we choose a female and the family whose number is an odd number we choose a male.

Sample Strata The population was divided into the following strata: 1. Governorate (16 Governorates in the West Bank including those parts of Jerusalem, which were annexed by Israeli occupation in 1967 (J1) as a separated stratum, and the Gaza Strip). 2. Locality type (urban, rural, camp). 3. Area C (class C, non-C) as an implicit stratum.

Domains 1. National level: State of Palestine. 2. Region level: (West Bank, and Gaza Strip). 3. Governorate (16 Governorates in the West Bank including those parts of Jerusalem, which were annexed by Israeli occupation in 1967, and Gaza Strip). 4. The location of the Annexation wall and Isolation (inside the wall, outside the wall). 5. Locality type (urban, rural, camp). 6. Refugee status (refugee, non-refugee). 7. Sex (male, female). 8. Area C (class C, non-C).

Sampling deviation

There are no deviations in the proposed sample design.

Mode of data collection

Computer Assisted Personal Interview [capi]

Research instrument

The questionnaire is the key tool for data collection. It must be conforming to the technical characteristics of fieldwork to allow for data processing and analysis. The survey questionnaire comprised the following parts: - Part one: Identification data. - Part two: Quality control - Part three: Data of households' members and social data. - Part four: Housing unit data - Part five: Assistance and Coping Strategies Information - Part six: Expenditure and Consumption - Part seven: Food Variation and Facing Food Shortage - Part eight: Income - Part nine: Agricultural and economic activities. - Part ten: Freedom of mobility - In addition to a questionnaire for individuals (18 years old and above): Questions on suffering and life quality, assessment of health, education, administration (Ministry of the Interior) services and information technology.

The language used in the questionnaire is Arabic with an English questionnaire

Cleaning operations

Data Processing

Data processing was done in different ways including:

Programming Consistency Check 1. Tablet applications were developed in accordance with the questionnaire's design to facilitate collection of data in the field. The application interfaces were made user-friendly to enable fieldworkers collect data quickly with minimal errors. Proper data entry tools were also used to concord with the question including drop down menus/lists. 2. Develop automated data editing mechanism consistent with the use of technology in the survey and uploading the tools for use to clean the data entered into the database and ensure they are logic and error free as much as possible. The tool also accelerated conclusion of preliminary results prior to finalization of results. 3. GPS and GIS were used to avoid duplication and omission of counting units (buildings, and households).

In order to work in parallel with Jerusalem (J1) in which the data was collected in paper, the same application that was designed on the tablets was used and some of its properties were modified, there was no need for maps to enter their data as the software was downloaded on the devices after the completion of the editing of the questionnaires.

Data Cleaning 1. Concurrently with the data collection process, a weekly check of the data entered was carried out centrally and returned to the field for modification during the data collection phase and follow-up. The work was carried out through examination of the questions and variables to ensure that all required items are included, and the check of shifts, stops and range was done too. 2. Data processing was conducted after the fieldwork stage, where it was limited to conducting the final inspection and cleaning of the survey databases. Data cleaning and editing stage focused on: - Editing skips and values allowed. - Checking the consistency between different the questions of questionnaire based on logical relationships. - Checking on the basis of relations between certain questions so that a list of non-identical cases

Abstract

There is no doubt that establishing a comprehensive and detailed statistical database for any economic activity is considered a prerequisite for planning and formulating policy aiming at the development and improvement of its performance. This naturally applies on the economic activities which is paid special attention in most contemporary economies all over the world.

The Palestinian Central Bureau of Statistics is pleased to issue the tenth volume of the economic surveys for the Palestinian Territory, which presents the findings of the surveys conducted for 2003 as reference year. These surveys cover most of economic activities operating in the Palestinian Territory since 1994.

This report includes statistical tables which presents the surveys findings for Remaining West Bank and Gaza Strip (RWBGS) excluding that part of Jerusalem which was annexed after the 1967 occupation by Israel.

Economic surveys in their various fields constitute the basic pillar for the compilation of National Accounts for Palestine. It is hoped that they will also fulfill the various needs and expectations of users in both private and public sectors.

Geographic coverage

Palestinian Territory.

Analysis unit

economical establishments

Universe

All of the economic establishments in the Palestinian Territory.

Kind of data

Sample survey data [ssd]

Sampling procedure

The sample is a single-stage stratified cluster random sample. It was 3,590 Palestinian economic establishments distributed according to the economic activities and governorates.

Target Population All the Palestinian economic establishments, which included in the Economic Series Survey sample in the Palestinian Territory.

Sample Frame The sampling frame was based on the Census-1997 conducted by PCBS, which was updated by frame modification survey 2002 Three levels of stratification were followed in designing the sample of the economic Survey including: 1. Stratification by Region: the establishments were classified to regions: West Bank and Gaza Strip 2. Stratification by economic activity. 3. Stratification by employers group.

Sampling deviation

There is not any deviations

Mode of data collection

Face-to-face [f2f]

Research instrument

The environmental questionnaire was designed according to international standards and recommendations for the most important indicators, taking into account the special situation of Palestine. Many visits for economical establishments were made in order to improve the survey tools and to test the questionnaire before implementing the survey; consequently some modifications were made on the questionnaire and on the instructions following the visits

Cleaning operations

The data processing stage contain 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 = %78.66

Sampling error estimates

These types of error are due to studying only a part of a social base. Since this survey is sample based, the data will be affected by sampling errors due to not using the whole frame of society and differences may appear compared with the actual values that could be obtained through a census. For this survey, variance calculations were made for the amounts of water consumed and the main source of supply in economic establishments by region and activity.

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 Palestinian Central Bureau of Statistics (PCBS) carried out the Socio-Economic Survey 2018. The survey round covered a total sample of about 9926 households.

The main objective of collecting data on the socio-economic and its components, including demographic charachteristics, employment, unemployment, is to provide basic information on the size and structure of the Palestinian households, as well as other data on the status of housing and characteristics of individuals, the family and living conditions.

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 labor force surveys in several Arab countries.

Geographic coverage

Covering a representative sample on the region level (West Bank, Gaza Strip), the locality type (urban, rural, camp) and the governorates.

Analysis unit

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

Universe

The survey covered all Palestinian households who are a usual residence of the Palestinian Territory.

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

The methodology was designed according to the context of the survey, international standards, data processing requirements and comparability of outputs with other related surveys.

---> Target Population: It consists of all Palestinian households and individuals who habitually reside with their households in Palestine for the reference period of the survey, which is 2018, and there was a focus on individuals of the age group 18 years and over to complete an additional form for individuals in this category.

---> Sampling Frame: The sampling frame consists of a comprehensive sample selected from the Population, Housing and Establishments Census 2007: This comprehensive sample consists of geographical areas with an average of 124 households, and these are considered as enumeration areas used in the census and these units were used as primary sampling units (PSUs).

---> Sampling Size: The estimated sample size is 9926 households in 2018.

---> Sample Design The sample is two stage stratified cluster sample with three stages : First stage: a systematic random sample of 337 enumeration areas for the whole round was selected. Second stage: the same households that were visited in the previous survey session 2015, which are about 25 households from each enumeration area were visited in 2018. Households that changed their place of residence and address available in the previous database to another place to complete the questionnaire are tracked. Individuals from the previous session who were separated from their household and formed new households or joined new households. Third stage: a male or female individual was selected from all sample families (old and new) in the second stage of individuals 18 years and over using check tables to complete the form for individuals 18 years and over (quality of life model). Taking into account that the household whose number is even in the enumeration area sample, we choose a female from it, and the household whose number is odd, from which we choose a male.

---> Sample strata: The population was divided by: 1. The governorate (16 governorates in the West Bank, including Jerusalem J1 governorate, which the Israeli occupation annexed to it by force after its occupation of the West Bank in 1967 as Tabqa and the Gaza Strip). 2. Type of settlement (urban, rural, camp). 3. Area C (class C, non-C) as an implicit class.

Mode of data collection

Face-to-face [f2f]

Research instrument

The questionnaire is the key tool for data collection. It must be conforming to the technical characteristics of fieldwork to allow for data processing and analysis. The survey questionnaire comprised the following parts: - Part one: Identification data. - Part two: Quality control - Part three: Data of households’ members and social data. - Part four: Housing unit data - Part five: Assistance and Coping Strategies Information - Part six: Expenditure and Consumption - Part seven: Food Variation and Facing Food Shortage - Part eight: Income - Part nine: Agricultural and economic activities. - Part ten: Freedom of mobility - In addition to a questionnaire for individuals (18 years old and above): Questions on suffering and life quality, assessment of health, education, administration (Ministry of the Interior) services and information technology.

Cleaning operations

---> Raw Data PCBS started collecting data since 27/8/2018 using the hand held devices in Palestine excluding Jerusalem in side boarders (J1) and Gaza Strip, the program used in HHD called Sql Server and Microsoft. Net which was developed by General Directorate of Information Systems. Using HHD reduced the data processing stages, the fieldworkers collect data and sending data directly to server then the project manager can withdrawal the data at any time he needs. In order to work in parallel with Gaza Strip and Jerusalem in side boarders (J1), an office program was developed using the same techniques by using the same database for the HHD.

---> Harmonized Data - The SPSS package is used to clean and harmonize the datasets. - The harmonization process starts with a cleaning process for all raw data files received from the Statistical Agency. - All cleaned data files are then 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 then converted to STATA, to be disseminated.

Response rate

The survey sample consists of about 11,008 households of which 9,926 households completed the interview; whereas 5,898 households from the West Bank and 4,028 households in Gaza Strip. Weights were modified to account for non-response rate. The response rate in Palestine reached 90.2%.

Sampling error estimates

---> Sampling Errors Those errors result from studying part (sample) of the society and not all society units. Since the socio-economic conditions survey 2018 was conducted on a sample, sampling errors are expected to occur. To minimize sampling errors, a properly designed probability sample was used to calculate errors throughout the process. This means that for every unit of the society there is a probability to be selected in the sample. The variance was calculated to measure the impact on sample design for Palestine.

---> Non-Sampling Errors Non-Sampling errors are possible at all stages of the project, during data collection or processing. Those are referred to as 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 fieldworkers 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. Non-sampling errors in the survey resulted from the private data it collected and that some households considered this as interference in the very details of their private life. They refused to cooperate with data. Several methods were used to convince households provide answers and minimize non-response.

Data appraisal

Concept of data quality covers many aspects, starting from the initial planning of the survey to the dissemination of the results and how well users understand and use the data. There are seven dimensions of the statistical quality: relevance, accuracy, timeliness, accessibility, comparability, coherence, and completeness.

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

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. For example, for the CPI, the variation between its goods was very low, except in some cases such as banana, tomato, and cucumber goods that had a high coefficient of variation during 2019 due to the high oscillation in their prices. 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

Abstract

The basic goal of this survey is to provide the necessary database for formulating national policies at various levels. It represents the contribution of the household sector to the Gross National Product (GNP). Household Surveys help as well in determining the incidence of poverty, and providing 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. Generally, the Household Expenditure and Consumption 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 Office was cleaned and harmonized by the Economic Research Forum, in the context of a major research project to develop and expand knowledge on equity and inequality in the Arab region. The main focus of the project is to measure the magnitude and direction of change in inequality and to understand the complex contributing social, political and economic forces influencing its levels. However, the measurement and analysis of the magnitude and direction of change in this inequality cannot be consistently carried out without harmonized and comparable micro-level data on income and expenditures. Therefore, one important component of this research project is securing and harmonizing household surveys from as many countries in the region as possible, adhering to international statistics on household living standards distribution. Once the dataset has been compiled, the Economic Research Forum makes it available, subject to confidentiality agreements, to all researchers and institutions concerned with data collection and issues of inequality. Data is a public good, in the interest of the region, and it is consistent with the Economic Research Forum's mandate to make micro data available, aiding regional research on this important topic.

Geographic coverage

The survey data covers urban, rural and camp areas in West Bank and Gaza Strip.

Analysis unit

1- Household/families. 2- Individuals.

Universe

The survey covered all the Palestinian households who are a usual residence in the Palestinian Territory.

Kind of data

Sample survey data [ssd]

Sampling procedure

Sample and Frame:

The sampling frame consists of all enumeration areas which were enumerated in 1997; the enumeration area consists of buildings and housing units and is composed of an average of 120 households. The enumeration areas were used as Primary Sampling Units (PSUs) in the first stage of the sampling selection. The enumeration areas of the master sample were updated in 2003.

Sample Design:

The sample is a stratified cluster systematic random sample with two stages: First stage: selection of a systematic random sample of 299 enumeration areas. Second stage: selection of a systematic random sample of 12-18 households from each enumeration area selected in the first stage. A person (18 years and more) was selected from each household in the second stage.

Sample strata:

The population was divided by: 1- Governorate 2- Type of Locality (urban, rural, refugee camps)

Sample Size:

The calculated sample size is 3,781 households.

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 12 households.

Detailed information/formulas on the sampling design are 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 667 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

Both data entry and tabulation were performed using the ACCESS and SPSS software programs. The data entry process was organized in 6 files, corresponding to the main parts of the questionnaire. A data entry template was designed to reflect an exact image of the questionnaire, and included various electronic checks: logical check, range checks, consistency checks and cross-validation. Complete manual inspection was made of results after data entry was performed, and questionnaires containing field-related errors were sent back to the field for corrections.

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 Office.
• 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 run 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

The survey sample consists of about 3,781 households interviewed over a twelve-month period between January 2004 and January 2005. There were 3,098 households that completed the interview, of which 2,060 were in the West Bank and 1,038 households were in GazaStrip. The response rate was 82% in the Palestinian Territory.

Sampling error estimates

The calculations of standard errors for the main survey estimations enable the user to identify the accuracy of estimations and the survey reliability. Total errors of the survey can be divided into two kinds: statistical errors, and non-statistical errors. Non-statistical errors are related to the procedures of statistical work at different stages, such as the failure to explain questions in the questionnaire, unwillingness or inability to provide correct responses, bad statistical coverage, etc. These errors depend on the nature of the work, training, supervision, and conducting all various related activities. The work team spared no effort at different stages to minimize non-statistical errors; however, it is difficult to estimate numerically such errors due to absence of technical computation methods based on theoretical principles to tackle them. On the other hand, statistical errors can be measured. Frequently they are measured by the standard error, which is the positive square root of the variance. The variance of this survey has been computed by using the “programming package” CENVAR.

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

Since its inception in the mid-1990s, the Multiple Indicator Cluster Surveys programme, known as MICS, has become the largest source of statistically sound and internationally comparable data on children and women worldwide. In countries as diverse as Bangladesh, Thailand, Fiji, Qatar, Cote d’Ivoire, Turkmenistan and Argentina, trained fieldwork teams conduct face-to-face interviews with household members on a variety of topics – focusing mainly on those issues that directly affect the lives of children and women. MICS is an integral part of plans and policies of many governments around the world, and a major data source for more than 30 Sustainable Development Goals (SDGs) indicators. The MICS programme continues to evolve with new methodologies and initiatives, including MICS Plus, MICS Link, MICS GIS and the MICS Tabulator.

Geographic coverage

Afghanistan The majority of MICS surveys are designed to be representative at the national level. Sample sizes are sufficient to generate robust data at the regional or provincial levels, and for urban and rural areas. Subnational surveys, covering specific population groups (such as Palestinians in Lebanon) or specific geographical areas (such as selected regions of East in Afghanistan) within countries are also conducted.

Analysis unit

Household, Individual

Sampling procedure

Sample sizes vary greatly from one survey to the other, currently averaging around 12,000 households (for national surveys).

The sample for the Multiple Indicator Cluster Survey (MICS) was designed to provide estimates on a large number of indicators on the situation of children and women at the national level, for areas of residence, and for geographical locations, such as regions, governorates, or districts. A multi-stage, stratified cluster sampling approach was typickly used for the selection of the survey sample. MICS6 surveys are not self-weighting. For reporting national level results, sample weights were used. A more detailed description of the sample design can be found in Appendix A of Final Report.

Mode of data collection

Face-to-face [f2f]

Ukraine UA: Refugee Population: by Country or Territory of Origin data was reported at 139,561.000 Person in 2017. This records a decrease from the previous number of 239,075.000 Person for 2016. Ukraine UA: Refugee Population: by Country or Territory of Origin data is updated yearly, averaging 25,317.500 Person from Dec 1992 (Median) to 2017, with 26 observations. The data reached an all-time high of 321,418.000 Person in 2015 and a record low of 38.000 Person in 1992. Ukraine UA: Refugee Population: by Country or Territory of Origin data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Ukraine – Table UA.World Bank: Population and Urbanization Statistics. Refugees are people who are recognized as refugees under the 1951 Convention Relating to the Status of Refugees or its 1967 Protocol, the 1969 Organization of African Unity Convention Governing the Specific Aspects of Refugee Problems in Africa, people recognized as refugees in accordance with the UNHCR statute, people granted refugee-like humanitarian status, and people provided temporary protection. Asylum seekers--people who have applied for asylum or refugee status and who have not yet received a decision or who are registered as asylum seekers--are excluded. Palestinian refugees are people (and their descendants) whose residence was Palestine between June 1946 and May 1948 and who lost their homes and means of livelihood as a result of the 1948 Arab-Israeli conflict. Country of origin generally refers to the nationality or country of citizenship of a claimant.; ; United Nations High Commissioner for Refugees (UNHCR), Statistics Database, Statistical Yearbook and data files, complemented by statistics on Palestinian refugees under the mandate of the UNRWA as published on its website. Data from UNHCR are available online at: www.unhcr.org/en-us/figures-at-a-glance.html.; Sum;