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 Growth Rate: Gaza Strip data was reported at 2.900 % in 2018. This records a decrease from the previous number of 3.000 % for 2017. State of Palestine (West Bank and Gaza) Population Growth Rate: Gaza Strip data is updated yearly, averaging 3.400 % from Dec 1997 (Median) to 2018, with 13 observations. The data reached an all-time high of 4.100 % in 1997 and a record low of 2.900 % in 2018. State of Palestine (West Bank and Gaza) Population Growth Rate: 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.

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 Growth Rate data was reported at 2.500 % in 2018. This stayed constant from the previous number of 2.500 % for 2017. State of Palestine (West Bank and Gaza) Population Growth Rate data is updated yearly, averaging 2.900 % from Dec 1997 (Median) to 2018, with 13 observations. The data reached an all-time high of 3.800 % in 1997 and a record low of 2.500 % in 2018. State of Palestine (West Bank and Gaza) Population Growth Rate 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.

Historical dataset showing West Bank and Gaza population growth rate by year from 1991 to 2023.

Historical chart and dataset showing West Bank and Gaza population growth rate by year from 1991 to 2023.

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.

Urban population growth (annual %) in Palestine was reported at 2.7691 % in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. Palestine - Urban population growth (annual %) - actual values, historical data, forecasts and projections were sourced from the World Bank on June of 2025.

Rural population growth (annual %) in Palestine was reported at 1.0357 % in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. Palestine - Rural population growth (annual %) - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

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.

Population ages 0-14, female (% of female population) in Palestine was reported at 37.05 % in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. Palestine - Population ages 0-14, female (% of total) - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

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.

Population, female in Palestine was reported at 2598445 Persons in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. Palestine - Population, female - actual values, historical data, forecasts and projections were sourced from the World Bank on June of 2025.

State of Palestine (West Bank and Gaza) PS: Prevalence of Stunting: Height for Age: % of Children Under 5 data was reported at 7.400 % in 2014. This records a decrease from the previous number of 10.900 % for 2010. State of Palestine (West Bank and Gaza) PS: Prevalence of Stunting: Height for Age: % of Children Under 5 data is updated yearly, averaging 10.900 % from Dec 1996 (Median) to 2014, with 5 observations. The data reached an all-time high of 16.100 % in 2002 and a record low of 7.400 % in 2014. State of Palestine (West Bank and Gaza) PS: Prevalence of Stunting: Height for Age: % of Children Under 5 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: Health Statistics. Prevalence of stunting is the percentage of children under age 5 whose height for age is more than two standard deviations below the median for the international reference population ages 0-59 months. For children up to two years old height is measured by recumbent length. For older children height is measured by stature while standing. The data are based on the WHO's new child growth standards released in 2006.; ; UNICEF, WHO, World Bank: Joint child malnutrition estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology.; Linear mixed-effect model estimates; Undernourished children have lower resistance to infection and are more likely to die from common childhood ailments such as diarrheal diseases and respiratory infections. Frequent illness saps the nutritional status of those who survive, locking them into a vicious cycle of recurring sickness and faltering growth (UNICEF, www.childinfo.org). Estimates of child malnutrition, based on prevalence of underweight and stunting, are from national survey data. The proportion of underweight children is the most common malnutrition indicator. Being even mildly underweight increases the risk of death and inhibits cognitive development in children. And it perpetuates the problem across generations, as malnourished women are more likely to have low-birth-weight babies. Stunting, or being below median height for age, is often used as a proxy for multifaceted deprivation and as an indicator of long-term changes in malnutrition.

Abstract

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

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

Geographic coverage

National coverage

Analysis unit

Dwelling

UNITS IDENTIFIED: - Dwellings: Yes - Vacant units: No - Households: Yes - Individuals: Yes - Group quarters: No

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

Universe

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

Kind of data

Census/enumeration data [cen]

Sampling procedure

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

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

SAMPLE UNIT: household

SAMPLE FRACTION: 10%

SAMPLE SIZE (person records): 455,019

Mode of data collection

Face-to-face [f2f]

Research instrument

Population, Housing and Establishment Census - 2007 questionnaire, including form number 19/1 PHC

According to estimates for 2023, the fertility rate in Gaza was **** children per woman. Compared to the fertility rate of 2005, the fertility rate of Gazan women has decreased by almost half. The fertility rate describes the average number of children a woman gives birth to, given a constant average child-bearing age between 15 and 49 years.

Population ages 30-34, male (% of male population) in Palestine was reported at 7.752 % in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. Palestine - Population ages 30-34, male (% of male population) - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

Abstract

Financial inclusion is critical in reducing poverty and achieving inclusive economic growth. When people can participate in the financial system, they are better able to start and expand businesses, invest in their children’s education, and absorb financial shocks. Yet prior to 2011, little was known about the extent of financial inclusion and the degree to which such groups as the poor, women, and rural residents were excluded from formal financial systems.

By collecting detailed indicators about how adults around the world manage their day-to-day finances, the Global Findex allows policy makers, researchers, businesses, and development practitioners to track how the use of financial services has changed over time. The database can also be used to identify gaps in access to the formal financial system and design policies to expand financial inclusion.

Geographic coverage

National Coverage. Sample includes East Jerusalem.

Analysis unit

Individual

Universe

The target population is the civilian, non-institutionalized population 15 years and above.

Kind of data

Sample survey data [ssd]

Frequency of data collection

Triennial

Sampling procedure

As in the first edition, the indicators in the 2014 Global Findex are drawn from survey data covering almost 150,000 people in more than 140 economies-representing more than 97 percent of the world's population. The survey was carried out over the 2014 calendar year by Gallup, Inc. as part of its Gallup World Poll, which since 2005 has continually conducted surveys of approximately 1,000 people in each of more than 160 economies and in over 140 languages, using randomly selected, nationally representative samples. The target population is the entire civilian, noninstitutionalized population age 15 and above. The set of indicators will be collected again in 2017.

Surveys are conducted face to face in economies where telephone coverage represents less than 80 percent of the population or is the customary methodology. In most economies the fieldwork is completed in two to four weeks. 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 by means of the Kish grid. In economies where cultural restrictions dictate gender matching, respondents are randomly selected through the Kish grid from among all eligible adults of the interviewer's gender.

In economies where telephone interviewing is employed, random digit dialing or a nationally representative list of phone numbers is used. In most economies where cell phone penetration is high, a dual sampling frame is used. Random selection of respondents is achieved by using either the latest birthday or Kish grid method. At least three attempts are made to reach a person in each household, spread over different days and times of day.

The sample size in West Bank and Gaza was 1,000 individuals.

Mode of data collection

Face-to-face [f2f]

Research instrument

The questionnaire was designed by the World Bank, in conjunction with a Technical Advisory Board composed of leading academics, practitioners, and policy makers in the field of financial inclusion. The Bill and Melinda Gates Foundation and Gallup Inc. also provided valuable input. The questionnaire was piloted in multiple countries, using focus groups, cognitive interviews, and field testing. The questionnaire is available in 142 languages upon request.

Questions on cash withdrawals, saving using an informal savings club or person outside the family, domestic remittances, school fees, and agricultural payments are only asked in developing economies and few other selected countries. The question on mobile money accounts was only asked in economies that were part of the Mobile Money for the Unbanked (MMU) database of the GSMA at the time the interviews were being held.

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 Asli Demirguc-Kunt, Leora Klapper, Dorothe Singer, and Peter Van Oudheusden, “The Global Findex Database 2014: Measuring Financial Inclusion around the World.” Policy Research Working Paper 7255, World Bank, Washington, D.C.

Abstract

This survey was conducted in the West Bank and Gaza between June and September 2013 as part of the Enterprise Survey project, an initiative of the World Bank. The objective of the survey is to obtain feedback from enterprises on the state of the private sector as well as to help in building a panel of enterprise data that will make it possible to track changes in the business environment over time, thus allowing, for example, impact assessments of reforms. Through interviews with firms in the manufacturing and services sectors, the survey assesses the constraints to private sector growth and creates statistically significant business environment indicators that are comparable across countries.

The standard Enterprise Survey topics include firm characteristics, gender participation, access to finance, annual sales, costs of inputs/labor, workforce composition, bribery, licensing, infrastructure, trade, crime, competition, capacity utilization, land and permits, taxation, informality, business-government relations, innovation and technology, and performance measures. Over 90% of the questions objectively ascertain characteristics of a country's business environment. The remaining questions assess the survey respondents' opinions on what are the obstacles to firm growth and performance.

Geographic coverage

National

Analysis unit

The primary sampling unit of the study is the establishment. An establishment is a physical location where business is carried out and where industrial operations take place or services are provided. A firm may be composed of one or more establishments. For example, a brewery may have several bottling plants and several establishments for distribution. For the purposes of this survey an establishment must make its own financial decisions and have its own financial statements separate from those of the firm. An establishment must also have its own management and control over its payroll.

Universe

The whole population, or universe of the study, is the non-agricultural economy. It comprises: all manufacturing sectors according to the group classification of ISIC Revision 3.1: (group D), construction sector (group F), services sector (groups G and H), and transport, storage, and communications sector (group I). Note that this definition excludes the following sectors: financial intermediation (group J), real estate and renting activities (group K, except sub-sector 72, IT, which was added to the population under study), and all public or utilities-sectors.

Kind of data

Sample survey data [ssd]

Sampling procedure

The sample for West Bank and Gaza was selected using stratified random sampling. Three levels of stratification were used in this country: industry, establishment size, and region.

Industry stratification was designed in the way that follows: the universe was stratified into one collective manufacturing industry, and two services industries (retail and other services).

Size stratification was defined following the standardized definition for the rollout: small (5 to 19 employees), medium (20 to 99 employees), and large (more than 99 employees). For stratification purposes, the number of employees was defined on the basis of reported permanent full-time workers. This seems to be an appropriate definition of the labor force since seasonal/casual/part-time employment is not common practice, apart from the construction and agriculture sectors which are not included in the survey.

Regional stratification was defined in two regions: the West Bank, Gaza.

The sample frame used for the survey in the West Bank and Gaza was from the the Palestinian Central Bureau of Statistics Enterprise Census 2012 database.

The enumerated establishments were then used as the frame for the selection of a sample with the aim of obtaining interviews at 360 establishments with five or more employees. Given the impact that non-eligible units included in the sample universe may have on the results, adjustments may be needed when computing the appropriate weights for individual observations. The percentage of confirmed non-eligible units as a proportion of the total number of sampled establishments contacted for the survey was 6.76% (40 out of 592 contacted establishments).

Mode of data collection

Face-to-face [f2f]

Research instrument

The following survey instruments are available: - Manufacturing Questionnaire; - Services Questionnaire.

All variables are named using, first, the letter of each section and, second, the number of the variable within the section, i.e. a1 denotes section A, question 1. Variable names proceeded by a prefix "MNA" indicate questions specific to the Middle East and North Africa region, therefore, they may not be found in the implementation of the rollout in other countries. All other suffixed variables are global and are present in all economy surveys over the world. All variables are numeric with the exception of those variables with an "x" at the end of their names. The suffix "x" denotes that the variable is alpha-numeric.

There are two establishment identifiers, idstd and id. The first is a global unique identifier. The second is a country unique identifier. The variables a2 (sampling region), a6a (sampling establishment's size), and a4a (sampling sector) contain the establishment's classification into the strata chosen for each country using information from the sample frame. The strata were defined according to the guidelines described above. Variable a4a is coded using ISIC Rev 3.1 codes for the chosen industries for stratification. These codes include most manufacturing industries (15 to 37), retail (52), and (45, 50, 51, 55, 60-64, 72) for other services.

Cleaning operations

Data entry and quality controls are implemented by the contractor and data is delivered to the World Bank in batches (typically 10%, 50% and 100%). These data deliveries are checked for logical consistency, out of range values, skip patterns, and duplicate entries. Problems are flagged by the World Bank and corrected by the implementing contractor through data checks, callbacks, and revisiting establishments.

Response rate

The number of contacted establishments per realized interview was 0.73. This number is the result of two factors: explicit refusals to participate in the survey, as reflected by the rate of rejection (which includes rejections of the screener and the main survey) and the quality of the sample frame, as represented by the presence of ineligible units. The number of rejections per contact was 0.14.

Item non-response was addressed by two strategies: a- For sensitive questions that may generate negative reactions from the respondent, such as corruption or tax evasion, enumerators were instructed to collect the refusal to respond as a different option from don’t know. b- Establishments with incomplete information were re-contacted in order to complete this information, whenever necessary.

Survey non-response was addressed by maximizing efforts to contact establishments that were initially selected for interview. Attempts were made to contact the establishment for interview at different times/days of the week before a replacement establishment (with similar strata characteristics) was suggested for interview. Survey non-response did occur but substitutions were made in order to potentially achieve strata-specific goals.