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.

State of Palestine (West Bank and Gaza) Population Density: Inhabitants per sq km data was reported at 898.540 Person in 2023. This records an increase from the previous number of 881.270 Person for 2022. State of Palestine (West Bank and Gaza) Population Density: Inhabitants per sq km data is updated yearly, averaging 613.105 Person from Dec 1990 (Median) to 2023, with 34 observations. The data reached an all-time high of 898.540 Person in 2023 and a record low of 355.330 Person in 1990. State of Palestine (West Bank and Gaza) Population Density: Inhabitants per sq km 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: Demography: Non OECD Member: Annual.

According to estimates for 2023, the number of Palestinians in Gaza aged 0 to 4 was *******. That year, more than half of Gaza's estimated **** million inhabitants were below 20 years old.

State of Palestine (West Bank and Gaza) Population: Ages 65 and Above: % of Total Population data was reported at 3.800 % in 2023. This records an increase from the previous number of 3.700 % for 2022. State of Palestine (West Bank and Gaza) Population: Ages 65 and Above: % of Total Population data is updated yearly, averaging 2.700 % from Dec 1990 (Median) to 2023, with 34 observations. The data reached an all-time high of 3.800 % in 2023 and a record low of 2.080 % in 1993. State of Palestine (West Bank and Gaza) Population: Ages 65 and Above: % of Total Population 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: Demography: Non OECD Member: Annual.

State of Palestine (West Bank and Gaza) Population: Ages 0-14: % of Total Population data was reported at 38.370 % in 2023. This records a decrease from the previous number of 38.690 % for 2022. State of Palestine (West Bank and Gaza) Population: Ages 0-14: % of Total Population data is updated yearly, averaging 44.015 % from Dec 1990 (Median) to 2023, with 34 observations. The data reached an all-time high of 49.120 % in 1990 and a record low of 38.370 % in 2023. State of Palestine (West Bank and Gaza) Population: Ages 0-14: % of Total Population 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: Demography: Non OECD Member: Annual.

As of 2021, the overall population density of the Gaza Strip was ***** capita per square kilometer. The population density of North Gaza was ***** capita per square kilometer. The area of the Gaza Strip was around *** square kilometers.

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.

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 July of 2025.

State of Palestine (West Bank and Gaza) Population: Ages 15-64: % of Total Population data was reported at 57.830 % in 2023. This records an increase from the previous number of 57.610 % for 2022. State of Palestine (West Bank and Gaza) Population: Ages 15-64: % of Total Population data is updated yearly, averaging 53.290 % from Dec 1990 (Median) to 2023, with 34 observations. The data reached an all-time high of 57.830 % in 2023 and a record low of 48.800 % in 1990. State of Palestine (West Bank and Gaza) Population: Ages 15-64: % of Total Population 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: Demography: Non OECD Member: Annual.

West Bank and Gaza death rate for 2023 was 7.20, a 140.57% increase from 2022.

<ul style='margin-top:20px;'>

<li>West Bank and Gaza death rate for 2022 was <strong>2.99</strong>, a <strong>20.59% decline</strong> from 2021.</li>
<li>West Bank and Gaza death rate for 2021 was <strong>3.77</strong>, a <strong>11.12% increase</strong> from 2020.</li>
<li>West Bank and Gaza death rate for 2020 was <strong>3.39</strong>, a <strong>8.2% increase</strong> from 2019.</li>
</ul>Crude death rate indicates the number of deaths occurring during the year, per 1,000 population estimated at midyear. Subtracting the crude death rate from the crude birth rate provides the rate of natural increase, which is equal to the rate of population change in the absence of migration.

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.

This statistic shows the age structure in Palestine from 2014 to 2024. In 2024, about 38.05 percent of Palestine's total population were aged 0 to 14 years.

Employment to population ratio, ages 15-24, male (%) (modeled ILO estimate) in Palestine was reported at 34.96 % in 2022, according to the World Bank collection of development indicators, compiled from officially recognized sources. Palestine - Employment to population ratio, ages 15-24, male - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

In 2022, the unemployment rate in Palestine decreased by 1.97 percentage points since 2021 reaching 24.42 percent. The unemployment rate refers to the share of the economically active population currently without work but in search of employment. The unemployment rate does not include economically inactive persons such as the long-term unemployed, children, or retirees.

Abstract

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

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

Geographic coverage

Palestine West Bank Gaza Strip Jerusalem

Analysis unit

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

Universe

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

Kind of data

Sample survey data [ssd]

Sampling procedure

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

Sampling deviation

Not apply

Mode of data collection

Computer Assisted Personal Interview [capi]

Research instrument

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

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

Cleaning operations

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

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

Response rate

Not apply

Sampling error estimates

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

Data appraisal

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

State of Palestine (West Bank and Gaza) Women: % of Total Population data was reported at 50.300 % in 2023. This records an increase from the previous number of 50.280 % for 2022. State of Palestine (West Bank and Gaza) Women: % of Total Population data is updated yearly, averaging 50.005 % from Dec 1990 (Median) to 2023, with 34 observations. The data reached an all-time high of 50.400 % in 2017 and a record low of 49.390 % in 1997. State of Palestine (West Bank and Gaza) Women: % of Total Population 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: Demography: Non OECD Member: Annual.

Abstract

The fourth edition of the Global Findex offers a lens into how people accessed and used financial services during the COVID-19 pandemic, when mobility restrictions and health policies drove increased demand for digital services of all kinds.

The Global Findex is the world's most comprehensive database on financial inclusion. It is also the only global demand-side data source allowing for global and regional cross-country analysis to provide a rigorous and multidimensional picture of how adults save, borrow, make payments, and manage financial risks. Global Findex 2021 data were collected from national representative surveys of about 128,000 adults in more than 120 economies. The latest edition follows the 2011, 2014, and 2017 editions, and it includes a number of new series measuring financial health and resilience and contains more granular data on digital payment adoption, including merchant and government payments.

The Global Findex is an indispensable resource for financial service practitioners, policy makers, researchers, and development professionals.

Geographic coverage

Areas with security concerns close to the Israeli borders, areas that are accessible only to special Israeli permit holders, and areas with population concentrations less than 1000 people were excluded. The excluded areas represent less than 2% of the population. The sample includes East Jerusalem.

Analysis unit

Individual

Kind of data

Observation data/ratings [obs]

Sampling procedure

In most developing economies, Global Findex data have traditionally been collected through face-to-face interviews. Surveys are conducted face-to-face in economies where telephone coverage represents less than 80 percent of the population or where in-person surveying is the customary methodology. However, because of ongoing COVID-19 related mobility restrictions, face-to-face interviewing was not possible in some of these economies in 2021. Phone-based surveys were therefore conducted in 67 economies that had been surveyed face-to-face in 2017. These 67 economies were selected for inclusion based on population size, phone penetration rate, COVID-19 infection rates, and the feasibility of executing phone-based methods where Gallup would otherwise conduct face-to-face data collection, while complying with all government-issued guidance throughout the interviewing process. Gallup takes both mobile phone and landline ownership into consideration. According to Gallup World Poll 2019 data, when face-to-face surveys were last carried out in these economies, at least 80 percent of adults in almost all of them reported mobile phone ownership. All samples are probability-based and nationally representative of the resident adult population. Phone surveys were not a viable option in 17 economies that had been part of previous Global Findex surveys, however, because of low mobile phone ownership and surveying restrictions. Data for these economies will be collected in 2022 and released in 2023.

In economies where face-to-face surveys are conducted, the first stage of sampling is the identification of primary sampling units. These units are stratified by population size, geography, or both, and clustering is achieved through one or more stages of sampling. Where population information is available, sample selection is based on probabilities proportional to population size; otherwise, simple random sampling is used. Random route procedures are used to select sampled households. Unless an outright refusal occurs, interviewers make up to three attempts to survey the sampled household. To increase the probability of contact and completion, attempts are made at different times of the day and, where possible, on different days. If an interview cannot be obtained at the initial sampled household, a simple substitution method is used. Respondents are randomly selected within the selected households. Each eligible household member is listed, and the hand-held survey device randomly selects the household member to be interviewed. For paper surveys, the Kish grid method is used to select the respondent. In economies where cultural restrictions dictate gender matching, respondents are randomly selected from among all eligible adults of the interviewer's gender.

In traditionally phone-based economies, respondent selection follows the same procedure as in previous years, using random digit dialing or a nationally representative list of phone numbers. In most economies where mobile phone and landline penetration is high, a dual sampling frame is used.

The same respondent selection procedure is applied to the new phone-based economies. Dual frame (landline and mobile phone) random digital dialing is used where landline presence and use are 20 percent or higher based on historical Gallup estimates. Mobile phone random digital dialing is used in economies with limited to no landline presence (less than 20 percent).

For landline respondents in economies where mobile phone or landline penetration is 80 percent or higher, random selection of respondents is achieved by using either the latest birthday or household enumeration method. For mobile phone respondents in these economies or in economies where mobile phone or landline penetration is less than 80 percent, no further selection is performed. At least three attempts are made to reach a person in each household, spread over different days and times of day.

Sample size for West Bank and Gaza is 1000.

Mode of data collection

Face-to-face [f2f]

Research instrument

Questionnaires are available on the website.

Sampling error estimates

Estimates of standard errors (which account for sampling error) vary by country and indicator. For country-specific margins of error, please refer to the Methodology section and corresponding table in Demirgüç-Kunt, Asli, Leora Klapper, Dorothe Singer, Saniya Ansar. 2022. The Global Findex Database 2021: Financial Inclusion, Digital Payments, and Resilience in the Age of COVID-19. Washington, DC: World Bank.

People practicing open defecation (% of population) in Palestine was reported at 0.1018 % in 2022, according to the World Bank collection of development indicators, compiled from officially recognized sources. Palestine - People practicing open defecation (% of population) - actual values, historical data, forecasts and projections were sourced from the World Bank on June of 2025.

Abstract

The survey was commissioned by the World Bank and it is aligned with the objectives of the World Bank's (WB) Global Program on Consumer Protection and Financial literacy that was launched in 2010. The aim of the WB program is to help targeted countries achieve better consumer protection in financial services. The WB initiative has targeted both public and private sector agencies, and has sponsored comprehensive research projects with the objective of finding the best solutions for each individual country/region. The survey focuses on financial services such as banking, insurance, microfinance in terms of credit, savings and payment systems, and was designed to identify the level of financial awareness and familiarity with financial services providers in the West Bank and Gaza. The survey also tried to identify appropriate methods for expanding consumer education and strengthening consumer rights in the West Bank and Gaza.

It is expected that the survey will support the objectives outlined by the Word Bank's Financial Governance/Consumer Protection in Financial Services Program. A major objective of this survey is to provide regional data for the World Bank's multi-national database. Thus, the inherent strengths of this initiative is that it will allow regional stakeholders the opportunity to draw upon both local and international data. Local, international, small and large-scale strategies can then be formulated by comparing the diagnostic reviews of local data to that of other survey countries. By learning from the successes and failures of other survey countries, more effective mechanisms for the improvement of consumer protection and financial literacy in the West Bank and Gaza can be established.

Geographic coverage

National

Analysis unit

Household, individual

Universe

The target population is comprised of all Palestinians of the age group 18 - 65 years old residing in the territories of the West Bank and Gaza.

Kind of data

Sample survey data [ssd]

Sampling procedure

The survey collected data from 2022 Palestinians in the West Bank and Gaza. The sample distribution was 66.8% West Bank and 33.2% Gaza Strip.

Sampling Frame

The sampling frame included all geographical locations in which the target population resides. The sampling frame was used to select the sample of locations for the survey. It also included the type of localities (urban, rural and refugee camps) and population size in each location. This information was taken into consideration in designing the survey sample.

The following table provides the distribution of Palestinian households by governorates according to data available on the Census of 2007:

Sampling Frame according to Number of Households:

Governorate Total Number of Households West Bank: Jenin 47,437 Tubas 9,004 Tulkarem 29,938 Nablus 59,663 Qalqilia 16,483 Salfit 11,103 Ramallah Al Bireh 52,834 Jericho 7,615 Jerusalem 70,434 Bethlehem 32,667 Hebron 89,919 Subtotal 427,097

Gaza Strip: North Gaza 40,262 Gaza 76,810 Deir Al Balah 32,083 Khan Yonis 43,203 Rafah 26,863 Subtotal 219,221

Total 646,318

The following table shows the distribution of Palestinian households according to type of locality:

Sampling Frame according to Type of Locality Type of Locality Number of Households

Urban 472,736 Rural 113,386 Refugee Camps 60,196

Total 646,318

The frame was divided into strata depending on the homogeneity of the divided parts as follows: A) Governorates: 16 in the West Bank and Gaza. B) The type of locality: city, village and refugee camp.

Sample Design and Type

Three Stage Stratified Cluster Sample of 2022 persons (2022 households). The sample design was as follows: 1. Stage one: selection a sample of 60 representative localities covering all strata. 2. Stage two: selection a random sample of Palestinian households from each location selected in the first stage. 3. Stage three: random selection of one person from each household using Kish table within the age group of 18 years old and above. Half of the sample will be male and half is female respondents.

Sample Size The sample size was 2022 persons from all Palestinian territories aged 18 years and above. Main regions covered by the sample are: the West Bank (excluding Ramallah), Ramallah and Gaza Strip. The sample was distributed as follows:

Region / # of Households

Ramallah and Al Bireh 350 West Bank 1000 Gaza Strip 672 Total 2022

The margin of error in the main key variables is approximately 2.5% on the entire sample size and it should be bigger in the detailed domains.

Sample Representation:

The researchers ensured that the sample is representative of the following during the field work:

1) Geographical representation: the sample distribution covers all governorates of the West Bank (including Jerusalem) and Gaza strip, thus provides a comprehensive geographical representation. 2) Economic Activity: in general, Ramallah and Al Bireh governorate is considered the economic and commercial center and thus was given a higher weight in the sample compared to the rest of the localities. 3) Economic Sectors: the sample covered different economical sectors such as employees of industrial, services and commercial sectors (usually in the main cities), workers in the agricultural sector (rural areas) and workers in the informal sector (mostly in Gaza). 4) Poverty levels: the sample covers poor localities as provided by statistics. In general, Gaza is considered poorer than the West Bank. Also, refugee camps and some localities particularly in North West Bank are considered poorer than the rest of localities and the above sample distribution provides coverage of such localities. 5) Age Groups: the sample covered all age groups above the age of 18. The reason behind selecting the starting age to be 18 is the fact that it is within this age that an individual is expected to become involved with financial transactions and thus will be dealing with financial services. 6) Gender: the sample was gender balanced; half of the respondents were males and half were females. This corresponds with the gender distribution of the Palestinian Territories. 7) Infrastructure: the sample covered central and remote localities to guarantee representation of poor versus good infrastructure and availability of services including financial services.

Mode of data collection

Face-to-face [f2f]

Research instrument

A standard questionnaire was previously developed by the World Bank and was adapted to the Palestinian context by Riyada Consulting. The questionnaire was also shared with local stakeholders such as the Palestinian Monetary Authority, USAID and other departments of the World Bank.

State of Palestine (West Bank and Gaza) PS: People with Basic Handwashing Facilities Including Soap and Water: Rural: % of Rural Population data was reported at 95.509 % in 2022. This stayed constant from the previous number of 95.509 % for 2021. State of Palestine (West Bank and Gaza) PS: People with Basic Handwashing Facilities Including Soap and Water: Rural: % of Rural Population data is updated yearly, averaging 95.509 % from Dec 2014 (Median) to 2022, with 9 observations. The data reached an all-time high of 95.509 % in 2022 and a record low of 95.509 % in 2022. State of Palestine (West Bank and Gaza) PS: People with Basic Handwashing Facilities Including Soap and Water: Rural: % of Rural Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s State of Palestine (West Bank and Gaza) – Table PS.World Bank.WDI: Social: Access to Services. The percentage of people living in households that have a handwashing facility with soap and water available on the premises. Handwashing facilities may be fixed or mobile and include a sink with tap water, buckets with taps, tippy-taps, and jugs or basins designated for handwashing. Soap includes bar soap, liquid soap, powder detergent, and soapy water but does not include ash, soil, sand or other handwashing agents.;WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene (washdata.org).;;This is a disaggregated indicator for Sustainable Development Goal 6.2.1 [https://unstats.un.org/sdgs/metadata/].