The estimated population of the Gaza Strip for 2023 was around 2.1 million people. The Palestinian population of Gaza is relatively young when compared globally. More than half of Gazans are 19 years or younger. This is due to the comparably high fertility rate in the Gaza Strip of *** children per woman as of 2022.

Key information about State of Palestine (West Bank and Gaza) population

• The State of Palestine (West Bank and Gaza) population reached 5.9 million people in Jun 2026, compared with the previously reported figure of 5.7 million people in Jun 2025
• The data reached an all-time high of 5.9 million people in Jun 2026 and a record low of 0.9 million people in Jun 1951

The poverty headcount as a percentage of total population at the **** U.S. dollars in West Bank and Gaza increased from about 23.1 percent before the COVID-19 pandemic to about **** percent after the pandemic. The COVID-19 pandemic caused shocks to the Middle East and North Africa (MENA) region in 2020, worsening its welfare and economic situation.

Population growth (annual %) in Palestine was reported at 2.3603 % in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. Palestine - Population growth (annual %) - actual values, historical data, forecasts and projections were sourced from the World Bank on September of 2025.

The total population in Palestine was forecast to continuously increase up to more than 5.4 million people by 2023. The current total population is estimated to amount to 5.48 million people in 2023, however these estimates have not yet been adjusted to account for the impact of the 2023 Israel-Hamas War.

State of Palestine (West Bank and Gaza) PCBS Projection: Population: Mid Year: Gaza Strip data was reported at 2,106,745.000 Person in 2021. This records an increase from the previous number of 2,047,969.000 Person for 2020. State of Palestine (West Bank and Gaza) PCBS Projection: Population: Mid Year: Gaza Strip data is updated yearly, averaging 1,491,960.000 Person from Jun 1997 (Median) to 2021, with 25 observations. The data reached an all-time high of 2,106,745.000 Person in 2021 and a record low of 995,522.000 Person in 1997. State of Palestine (West Bank and Gaza) PCBS Projection: Population: Mid Year: Gaza Strip data remains active status in CEIC and is reported by Palestinian Central Bureau of Statistics. The data is categorized under Global Database’s State of Palestine (West Bank and Gaza) – Table PS.G001: Population: Projection: Palestinian Central Bureau of Statistics.

In Palestine, the median age of the population was 19.76 years in 2023, meaning that almost half of the total population is comprised of children. The median age of a population is an index that divides the population into two equal groups: half of the population is older than the median age and the other half younger. In 2020, the median age of Palestine's population was estimated to be around 19 years.

State of Palestine (West Bank and Gaza) PCBS Projection: Population: Mid Year data was reported at 5,227,193.000 Person in 2021. This records an increase from the previous number of 5,101,152.000 Person for 2020. State of Palestine (West Bank and Gaza) PCBS Projection: Population: Mid Year data is updated yearly, averaging 3,922,130.000 Person from Jun 1997 (Median) to 2021, with 25 observations. The data reached an all-time high of 5,227,193.000 Person in 2021 and a record low of 2,783,084.000 Person in 1997. State of Palestine (West Bank and Gaza) PCBS Projection: Population: Mid Year data remains active status in CEIC and is reported by Palestinian Central Bureau of Statistics. The data is categorized under Global Database’s State of Palestine (West Bank and Gaza) – Table PS.G001: Population: Projection: Palestinian Central Bureau of Statistics.

State of Palestine (West Bank and Gaza) Population Growth Rate: West Bank data was reported at 2.200 % in 2018. This stayed constant from the previous number of 2.200 % for 2017. State of Palestine (West Bank and Gaza) Population Growth Rate: West Bank data is updated yearly, averaging 2.600 % from Dec 1997 (Median) to 2018, with 13 observations. The data reached an all-time high of 3.600 % in 1997 and a record low of 2.200 % in 2018. State of Palestine (West Bank and Gaza) Population Growth Rate: West Bank data remains active status in CEIC and is reported by Palestinian Central Bureau of Statistics. The data is categorized under Global Database’s State of Palestine (West Bank and Gaza) – Table PS.G002: Vital Statistics.

Abstract

Socio-Economic Conditions Survey 2020 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 2020 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 (2020). The focus was given to individuals aged 18 years and above to complete an annex to the questionnaire, designed for this age group.

Kind of data

Sample survey data [ssd]

Sampling procedure

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

Sampling Framework The sampling frame consist of the Rule of Law and Access to Justice Survey in Palestine 2018 which originally based on the list of enumeration areas of the Population, Housing and Establishments Census 2017, with an average of about 150 households. These enumeration areas are used as primary sampling units (PSUs) in the first sampling selection stage.

Sample Size 3,623 families were reached at the national level, 2,461 households in the West Bank, and 1,162 households in the Gaza Strip. These households were contacted using the phone, 3,122 households responded to the survey.

Sample Design Three-stage stratified cluster systematic random sample:

Stage I: Selection of a stratified cluster systematic random sample consisting of (161) enumeration areas. Stage II: Selection (09-25) households from each enumeration area in the first stage in a stratified cluster systematic random. (Lists of the heads of households).

Stage III: A male and female member of each household in stage II were selected for 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.

In Jerusalem (j1) area, a survey sample of 25 households is selected from each enumeration area in the first stage.

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. Region level: (North of the West Bank, Middle of the West Bank and South of the West Bank). 2. The location of the Annexation wall and Isolation (inside the wall, outside the wall). 3. Locality type (urban, rural, camp). 4. Refugee status (refugee, non-refugee). 5. Sex (male, female). 6. Area C (class C, non-C).

Sampling deviation

There are no deviations in the proposed sample design

Mode of data collection

Computer Assisted Telephone Interview [cati]

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): it includes questions related to the Food Insecurity Experience Scale (FIES), assessment of health, education, administration (Ministry of the Interior) services, and tobacco use.

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

Cleaning operations

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. The application was examined by all members of the technical committee, and all comments were modified in addition to updates, and the transition between questions. It was also ensured that all audit rules were applied to the survey program, and the final version of the application was provided on time. 3. 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. 4. 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 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 thorough 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 was extracted, and reviewed toward identifying the source of the error case by case, where such errors were immediately modified and corrected based on the source of the error with the documentation process for the checks occurred on the questionnaire. 3. The SPSS program was used to extract and modify errors and discrepancies, to prepare clean and accurate data ready for scheduling and publishing.

Tabulation After finishing from checking and cleaning any errors of data, tabulation was prepared for this purpose and extracted accordingly.

Response rate

3,623 representative households was reached. Number of responded households (3,122) including (2,104) in the West Bank and (1,018) in Gaza Strip. Weights were adjusted with the design strata to compensate for the rate of refusal and non-response.

Sampling error estimates

Those errors result from studying part (sample) of the society and not all society units. Since the socio-economic conditions survey 2020 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.

Data appraisal

This standard is linked to the statistical product, since statistics must have comparative advantage with other sources and with other time periods. Many analyses are based on comparison. The data of the survey of 2020 were compared to the previous

State of Palestine (West Bank and Gaza) Percentage of Population Exposed to More Than 10 Micrograms per Cub m data was reported at 99.990 % in 2020. This stayed constant from the previous number of 99.990 % for 2019. State of Palestine (West Bank and Gaza) Percentage of Population Exposed to More Than 10 Micrograms per Cub m data is updated yearly, averaging 99.990 % from Dec 1990 (Median) to 2020, with 23 observations. The data reached an all-time high of 99.990 % in 2020 and a record low of 99.990 % in 2020. State of Palestine (West Bank and Gaza) Percentage of Population Exposed to More Than 10 Micrograms per Cub m data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s State of Palestine (West Bank and Gaza) – Table PS.OECD.GGI: Social: Air Quality and Health: Non OECD Member: Annual.

State of Palestine (West Bank and Gaza) Crude Death Rate: per 1000 Population: Gaza Strip data was reported at 3.500 NA in 2018. This records an increase from the previous number of 3.400 NA for 2017. State of Palestine (West Bank and Gaza) Crude Death Rate: per 1000 Population: Gaza Strip data is updated yearly, averaging 3.950 NA from Dec 1997 (Median) to 2018, with 18 observations. The data reached an all-time high of 4.700 NA in 1997 and a record low of 3.300 NA in 2016. State of Palestine (West Bank and Gaza) Crude Death Rate: per 1000 Population: Gaza Strip data remains active status in CEIC and is reported by Palestinian Central Bureau of Statistics. The data is categorized under Global Database’s State of Palestine (West Bank and Gaza) – Table PS.G002: Vital Statistics.

State of Palestine (West Bank and Gaza) Percentage of Population Exposed to More Than 35 Micrograms per Cub m data was reported at 0.000 % in 2020. This records a decrease from the previous number of 28.640 % for 2019. State of Palestine (West Bank and Gaza) Percentage of Population Exposed to More Than 35 Micrograms per Cub m data is updated yearly, averaging 6.020 % from Dec 1990 (Median) to 2020, with 23 observations. The data reached an all-time high of 30.810 % in 2010 and a record low of 0.000 % in 2020. State of Palestine (West Bank and Gaza) Percentage of Population Exposed to More Than 35 Micrograms per Cub m data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s State of Palestine (West Bank and Gaza) – Table PS.OECD.GGI: Social: Air Quality and Health: Non OECD Member: Annual.

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

State of Palestine (West Bank and Gaza) Percentage of Population Exposure to Wildfires data was reported at 0.000 % in 2020. This stayed constant from the previous number of 0.000 % for 2019. State of Palestine (West Bank and Gaza) Percentage of Population Exposure to Wildfires data is updated yearly, averaging 0.000 % from Dec 2000 (Median) to 2020, with 21 observations. The data reached an all-time high of 0.000 % in 2020 and a record low of 0.000 % in 2020. State of Palestine (West Bank and Gaza) Percentage of Population Exposure to Wildfires data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s State of Palestine (West Bank and Gaza) – Table PS.OECD.GGI: Social: Air Quality and Health: Non OECD Member: Annual.

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 four rounds of the Labor Force Survey 2020 (LFS). The survey rounds covered a total sample of about 23,915 households (about 5,980 households per quarter).

The main objective of collecting data on the labour force and its components, including employment, unemployment and underemployment, is to provide basic information on the size and structure of the Palestinian labour force. Data collected at different points in time provide a basis for monitoring current trends and changes in the labour market and in the employment situation. These data, supported with information on other aspects of the economy, provide a basis for the evaluation and analysis of macro-economic policies.

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 individuals aged 10 years and Above and there are staying normally with their households in the state of Palestine during 2020.

---> Sampling Frame: The sampling frame consists of a comprehensive sample selected from the Population, Housing and Establishments Census 2017: This comprehensive sample consists of geographical areas with an average of 150 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 8,040 households in each quarter of 2020.

---> Sample Design The sample is two stage stratified cluster sample with two stages : First stage: we select a systematic random sample of 536 enumeration areas for the whole round. Second stage: we select a systematic random sample of 15 households from each enumeration area selected in the first stage.

---> Sample strata: The population was divided by: 1- Governorate (16 governorate) 2- Type of Locality (urban, rural, refugee camps).

---> Sample Rotation: Each round of the Labor Force Survey covers all of the 536 master sample enumeration areas. Basically, the areas remain fixed over time, but households in 50% of the EAs were replaced in each round. The same households remain in the sample for two consecutive rounds, left for the next two rounds, then selected for the sample for another two consecutive rounds before being dropped from the sample. An overlap of 50% is then achieved between both consecutive rounds and between consecutive years (making the sample efficient for monitoring purposes).

Mode of data collection

Face-to-face [f2f]

Research instrument

The survey questionnaire was designed according to the International Labour Organization (ILO) recommendations. The questionnaire includes four main parts:

---> 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 15 years and over household member, to be able to explore their labour force status and recognize their major characteristics toward employment status, economic activity, occupation, place of work, and other employment indicators.

Cleaning operations

---> Raw Data PCBS started collecting data since 1st quarter 2020 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. From the beginning of March 2020, with the spread of the COVID-19 pandemic and the home quarantine imposed by the government, the personal (face to face) interview was replaced by the phone interview for households who had phone numbers from previous rounds, and for those households that did not have phone numbers, they were referred to and interviewed in person (face to face interview). 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 32,160 households of which 23,915 households completed the interview; whereas 15,490 households from the West Bank and 8,425 households in Gaza Strip. Weights were modified to account for non-response rate. The response rate in the West Bank reached 73.5% while in the Gaza Strip it reached 83.7%.

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 can be expected in comparison with the real values obtained through censuses. Variances were calculated for the most important indicators: the variance table is attached with the final report. There is no problem in disseminating results at national or governorate level for the West Bank and Gaza Strip.

---> Non-Sampling Errors Non-statistical errors are probable in all stages of the project, during data collection or processing. This is referred to as non-response errors, response errors, interviewing errors, and data entry errors. To avoid errors and reduce their effects, great 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, carrying out a pilot survey, as well as practical and theoretical training during the training course. Also data entry staff were trained on the data entry program that was examined before starting the data entry process. To stay in contact with progress of fieldwork activities and to limit obstacles, there was continuous contact with the fieldwork team through regular visits to the field and regular meetings with them during the different field visits. Problems faced by fieldworkers were discussed to clarify any issues. Non-sampling errors can occur at the various stages of survey implementation whether in data collection or in data processing. They are generally difficult to be evaluated statistically.

They cover a wide range of errors, including errors resulting from non-response, sampling frame coverage, coding and classification, data processing, and survey response (both respondent and interviewer-related). The use of effective training and supervision and the careful design of questions have direct bearing on limiting the magnitude of non-sampling errors, and hence enhancing the quality of the resulting data. The implementation of the survey encountered non-response where the case ( household was not present at home ) during the fieldwork visit and the case ( housing unit is vacant) become the high percentage of the non response cases. The total non-response rate reached 23.2% which is very low once compared to the household surveys conducted by PCBS , The refusal rate reached

State of Palestine (West Bank and Gaza) PCBS Projection: Population: Mid Year: West Bank data was reported at 3,120,448.000 Person in 2021. This records an increase from the previous number of 3,053,183.000 Person for 2020. State of Palestine (West Bank and Gaza) PCBS Projection: Population: Mid Year: West Bank data is updated yearly, averaging 2,430,170.000 Person from Jun 1997 (Median) to 2021, with 25 observations. The data reached an all-time high of 3,120,448.000 Person in 2021 and a record low of 1,787,562.000 Person in 1997. State of Palestine (West Bank and Gaza) PCBS Projection: Population: Mid Year: West Bank data remains active status in CEIC and is reported by Palestinian Central Bureau of Statistics. The data is categorized under Global Database’s State of Palestine (West Bank and Gaza) – Table PS.G001: Population: Projection: Palestinian Central Bureau of Statistics.

Abstract

The design of the Victimization Survey in Palestine, 2020 is to provide comprehensive statistical data for policy-makers and stakeholders in sociopolitical decision-making as crime and victimization statistics are valuable nationally, regionally and on the internationally. The Victimization Survey was implemented during the period from October 4th 2020 to 5 January for the purpose providing data In addition, the survey aims to examine the general features of victims and provide necessary information on the types of households and individual criminal acts, location of crimes, perpetrators, crime reporting and whether the crime reported was referred to court in addition to victims' human and material losses as a result of such acts. Furthermore, it aims to create a database that fills in the gaps in administrative records related to crime and victimization statistics.

The Victimization Surveywas carried out six times, the first in the years 1996, 1999, 2004, 2008, 2012, 2016 by studying the basic indicators stipulated by international recommendations, the experiences of other countries, and the recommendations of experts who came to the agency.

Geographic coverage

State of Palestine Region: (West Bank and Gaza Strip). Locality Type: (urban, rural, refugee camps).

Analysis unit

person family

Universe

It consists of all individuals residing in their households in Palestine during 2020

Kind of data

Sample survey data [ssd]

Sampling procedure

Target Population

It consists of all individuals residing in their households in Palestine during 2020. This survey focuses, in particular, on households and individuals who were victims of criminal acts during the last 12 months preceding the implementation of the survey.

Sampling and Frame

The sample is a two stage stratified cluster sample with two stages of households residing in Palestine.

Sampling Framework The sampling frame consists of the master sample, which was updated in 2017: Each enumeration area consists of buildings and housing units with an average of about 150 households, where we used it for the Labor Force Survey sample in 2020 and these units were used as primary sampling units (PSUs), in the first stage of choosing the sample

Sample Size The sample size was 8,040 households.

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

First stage: selection of a stratified sample of 536 EA with (pps) method.

Second stage: Selection of a systematic random of 15 households from each enumeration area selected in the first stage.

Sample Strata The population was divided by: 1- Governorate (17 governorates, where Jerusalem was considered as two statistical areas) 2- Type of Locality (urban, rural, refugee camps).

Domains 1- State of Palestine 2- Region: (West Bank and Gaza Strip). 3- Locality Type: (urban, rural, refugee camps).

Mode of data collection

Face-to-face [f2f]

Research instrument

The questionnaire is the main survey tool to gather information. It must be conforming to the technical standards of the fieldwork and should respond to the requirements of data processing and analysis. The questionnaire is composed of three sections: · The first part involves general questions on criminal offenses (theft, threat, assault, etc.) at the household level; · The second part has detailed questions about, victim of criminal offenses and the sociodemographic characteristics of perpetrators; · The third section relates to individuals feeling of security and their opinion about drug phenomenon, and individuals who have experienced discrimination. It should be noted that the questionnaire is an annex to the Labor Force Survey Questionnaire in the fourth quarter of 2020.

Cleaning operations

During fieldwork, data files were withdrawn three times for purpose of cleaning errors and preparing statements of amendments prior to returning to fieldwork, if needed. Upon completion of the entry and editing phase, In the last phase, data were prepared for tabulation and dissemination, then were inter-linked through relations. Internal checks were conducted for answers out of scope and comprehensive databases for implementation through an output program to locate statements' errors and amend the questionnaires to prepare for clean, accurate, ready to publish and ready to tabulate data.

Response rate

8,040 households, representative of Palestine, were selected. There were 6,294 completed households, including 4,228 in the West Bank and 2,066 in the Gaza Strip. Weights were adjusted to the design strata to adjust the impact of refusal and non-response rates. Response rate in the West Bank attained 83.2% and in the Gaza Strip it was 81.9%.

Sampling error estimates

Data in this survey is affected by sampling error because of use of a sample rather than a full census of all study population units. Therefore, differences from real values are expected to appear through censuses. Variance was calculated for the key indicators. The variance calculation table is annexed to this report. There are no problems at the level of publication of the said estimates at national (State of Palestine) and regional (West Bank and Gaza Strip) levels.

Data appraisal

Comparisons were made between the results of this survey with the previous surveys. Comparisons were made at household and individual levels. The tables of these comparisons are included in the introduction to the main tables of the survey.

Characteristics of the study population of Palestinians in Gaza per household survey of ages 40+ years old (2020).

In 2022, the death rate in Palestine increased by 0.03 deaths per 1,000 inhabitants since 2021, reaching 3.85 death per 1,000 inhabitants. The crude death rate refers to the number of deaths in a given year, expressed per 1,000 population. When studied in combination with the crude birth rate, the rate of natural population increase can be determined.