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.

Population in largest city in Palestine was reported at 800636 in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. Palestine - Population in largest city - 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.

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.

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 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.

Urban population (% of total population) in Palestine was reported at 77.58 % in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. Palestine - Urban population (% of total) - actual values, historical data, forecasts and projections were sourced from the World Bank on June of 2025.

Abstract

To improve the situation the PCBS has decided to undertake a fairly large demographic survey The main purpose of this survey is to provide basic demographic estimates at both the national and district level filling important gaps in existing statistics and reducing uncertainties surrounding the utility of available data Specifically, the survey provides detailed data on the following topics Population structure Female fertility Fertility preference Infant and child mortality Maternal and adult mortality Internal and international migration Marriage Family and household composition Educational attainmentHousing conditions

Geographic coverage

The target population consists of all Palestinian households that usually reside in the West Bank and Gaza Strip

Analysis unit

individual/ Household

Universe

The target population in this sample survey comprises all households living in West Bank and Gaza Strip excluding institutional population and nomads

Kind of data

Sample survey data [ssd]

Sampling procedure

A sampling strategy comprises two main elements: a sample design describing the scheme by which the sample of survey units is selected, and the estimators by which survey results can be computed from sample data. The two elements are usually closely interrelated, and determine the quality or reliability of survey estimates. In this section both elements will be described briefly. A more detailed description is provided in a separate working paper (Abu Hassan and Tamsfoss 1995).

The sample design adopted is a stratified three stage design for selection of households to be surveyed. At the first stage a sample of localities was selected. The sample localities have been subdivided into cells of approximately equal size, and a number of cells were selected randomly from each of the sample localities at the second stage. At the third and final stage, a sample of households was selected from the sample cells. For all the demographic variables included in the survey, records were taken for all members of the sample household.

Although a two-stage design would have been preferable, the present, more complex one is partly an outcome of limited availability of data on which sample designing usually is based, specifically data on the population size of various small area units, e.g. cells. The sample designing was undertaken in parallel with the updating of maps for the localities in the West Bank and Gaza Strip during the winter and spring 1995 - another ongoing PCBS project. Due to the limited time available, the design had to be completed before a complete set of updated locality maps was ready, implying the small area information needed was available for only a limited number of localities. However, the map updating was coordinated with the sample designing in such a way that once the first stage sample of localities was selected, mapping of these localities was given highest priority, thus offering an opportunity to subdivide sample localities into cells with a known measure of (population) size.

The present design is based on listings of localities provided by Barghouti and Daibas (1993) for the West Bank, and Abdeen and Abu-Libdeh (1993) for the Gaza Strip. Even though the population figures are rough estimates as per 1992-93, produced mainly by questioning local administration informants (e.g. Mukhtars) about the number of families in the locality, or projected estimates, they appear to be fairly well attuned with other sources (e.g. Benvenisti and Khayat 1988). Furthermore, the listings applied as a frame comprise more localities than previous ones, and should thus be more complete. However, the coverage may still be less than - although close to - 100% in terms of areas.

The first stage comprises the assigning of localities (as listed by Barghouti and Daibas 1993; Abdeen and Abu Libdeh 1993) to be the Primary Sampling Units (PSUs), the stratification of the PSUs, and the selection of sample PSUs from each stratum. The stratification is a subdivision of the PSUs according to district, administrative status of the locality, and estimated population (households) size. The PSUs were selected independently for each stratum, and with probability proportionate to estimated population size. In the Gaza Strip all localities were selected. The same applies to the district capitals, municipal localities and refugee camps in the West Bank, except in two strata in A Ramallah district. Whenever all PSUs in a stratum are selected, the design is a two stage one, and each single PSU is to be regarded as a separate substratum. The two stage design also applies for several of the small villages (single cell localities). As a matter of fact, the major parts of the sample is selected in two stages only, contributing favorably to smaller sampling error as compared to a strict three stage design.

The second stage subdivision of sample PSUs into cells (or Secondary Sampling Units - SSUs) was done on maps indicating location of buildings and a rough estimate of the number of dwelling in each building. Thus, for each sample PSU or locality as a whole, there are two size measures available; the estimated number of households, and the roughly estimated number of dwelling units. Although these sets of measures proved to be positively correlated, they departed significantly in most cases. However, for the cells, the number of dwelling units were the only measure of size available. Therefore, when selecting the sample cells from each sample PSU with probability proportionate to size, the size in terms of dwelling units had to be applied, i.e. a conceptually different size measure than the one applied at the first stage of selection (households).

For each sample cell the population has been listed by enumeration of buildings (map reference), and dwelling units. It should be noted that the number of dwelling units in each building was assessed by listers from outside no thorough inquiries were made as to whether they were inhabited or not. It was thus expected that errors would occur rather frequently - a problem which is to be evaluated separately on the basis of data collected during the survey. The listing of dwelling units constitutes the Sampling Frame from which the household sample was selected at a third stage by systematic sampling.

The planned sample size was 15,000 households. However, due to the sampling frame imperfections which were envisaged (several non-eligible units included), oversampling was carried out at a rate of approximately 30%, i.e. the gross sample selected at the outset comprised around 20,000 dwelling units.

The sampling design and sample allocation yield a household sample with varying inclusion probabilities. In order to have unbiased results, it is thus recommended that all estimates are based on weighed observations, the weights being the inverse of the respective inclusion probabilities.

All households in a cell have the same probability of being selected, however varying from cell to cell. It should be noted that non-eligible dwelling units (i.e. units which are not inhabited by households) have been removed from the sample. This does not affect the inclusion probabilities or the weights . The actual values of the weights are in the range 0.3 to 3.0. However, 80 % of the weights are in the range 0.7 to 1.4. Only a very few (small) cells are near the extremes.

Since the sampling design is a complex multi-stage one, variance must be calculated with other methods than those applicable to simple random sampling. In order to carry out the calculations, the software CENVAR (US Bureau of the Census 1993) has been used.

Mode of data collection

Face-to-face [f2f]

Research instrument

e Demographic Survey questionnaire consists of seven main parts Control Sheet which includes items related to quality control sample identification interview schedule and interview results Household Roster which includes questions related to the demographic and socio-economic characteristics of persons Household Mortality Schedule which includes questions related to deaths in the household during the past 24 months. Housing Schedule which includes questions on housing and housing conditions Relatives Abroad Schedule which includes questions on the number and the demographic characteristics of close relatives residing abroad Women's Schedule which includes questions mainly related to ever married women age 14-54 years Birth History which includes questions related to the characteristics of all births occurring to ever married women eligible for interview Answers to the first five parts of the questionnaires were obtained by interviewing the household head or any adult member of the household in cases where the head was not present during enumeration The last two sections of the questionnaire were completed by interviewing all eligible women The questionnaire was worded in colloquial Arabic Questions were written in full on the questionnaire and strict instructions were given to interviewers to read all questions verbatim during the interviews

Cleaning operations

A data entry template was designed to reflect an exact image of the questionnaire, and included various electronic checks logical check range checks consisting checks and cross-validation Weekly thorough checks on the overall consistency of the data files and sample allocation were also performed after data entry Questionnaire containing field-related errors were sent back to the field for corrections EPI-INFO Version 6.02 supported with NAFITHA-Version 4.00 (Arabization program) was used

Population in the largest city (% of urban population) in Palestine was reported at 19.44 % in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. Palestine - Population in the largest city - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

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.

State of Palestine (West Bank and Gaza) Crude Birth Rate: per 1000 Population: Gaza Strip data was reported at 34.400 NA in 2018. This records a decrease from the previous number of 34.700 NA for 2017. State of Palestine (West Bank and Gaza) Crude Birth Rate: per 1000 Population: Gaza Strip data is updated yearly, averaging 37.250 NA from Dec 1997 (Median) to 2018, with 18 observations. The data reached an all-time high of 45.400 NA in 1997 and a record low of 34.400 NA in 2018. State of Palestine (West Bank and Gaza) Crude Birth 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) 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) Crude Marriage Rate: per 1000 Population: Gaza Strip data was reported at 9.200 NA in 2017. This records a decrease from the previous number of 10.400 NA for 2016. State of Palestine (West Bank and Gaza) Crude Marriage Rate: per 1000 Population: Gaza Strip data is updated yearly, averaging 9.300 NA from Dec 1997 (Median) to 2017, with 16 observations. The data reached an all-time high of 12.400 NA in 2009 and a record low of 7.600 NA in 1997. State of Palestine (West Bank and Gaza) Crude Marriage 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.

Urban population in Palestine was reported at 4007712 in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. Palestine - Urban population - actual values, historical data, forecasts and projections were sourced from the World Bank on June of 2025.

Abstract

The main objective of the PHC-2007 is to provide figures for the Palestinian population and their geographical distribution in accordance with a number of relatively stable basic characteristics to inform socioeconomic development purposes. Preparations for conducting censuses take usually 3-5 years for piloting, testing tools, work plans, human and physical needs and timetable. The census is one of the most important statistical activities as it provides statistical data on the distribution of population, and their demographic, social and economic characteristics in a certain reference period of time for all the individuals within the borders of the state.

Geographic coverage

West Bank and Gaza Strip

Analysis unit

individual, household

Universe

The PHC-2007 covered all individuals who were in the Palestinian Territory on the census reference night (30/11-1/12/2007) regardless of nationality and citizenship. It also covered all Palestinians who have usual residence in the Palestinian Territory (including those who were temporarily absent for less than one year for the purpose of visit, tourism, treatment, etc. while their households are still living at their permanent places of residence in the Palestinian Territory). All Palestinian students abroad while their households are still living at their permanent places of residence were also included, in addition to all prisoners and detainees in the Israeli jails regardless of the duration of detention. The census excluded all Palestinians holding identity cards who were absent for more than one year (except for the students), even if their households are still living in their places of residence in the Palestinian Territory

Kind of data

Census/enumeration data [cen]

Sampling procedure

It consists of all the enumerated households in the Census 2007 and who are staying in the west bank at the time of enumeration. We select a systematic random sample from each enumeration area in the Census, and we select a 20% of the total households concluding all the individuals in the household

Mode of data collection

Face-to-face [f2f]

Research instrument

The census questionnaire for the buildings is divided into four parts: Part one: includes identification data, such as: governorate, locality name, locality code, booklet no. in locality, total booklets in locality, no. of completed pages in booklet, enumeration area.
Part two: includes data for all buildings, such as: 1. Building Serial No. in the page 2. Building No. in Enumeration Area 3. Name of the Owner of the Building or Building Name and Address 4. Building Municipality No. 5. Type of Building 6. Type of Ownership 7. Material of External Walls 8. No. of Stories 9. Current Use of Building 10. Establishments Year 11. Total No. Houses in Building Part three: includes data for all Houses, such as: 1. No. of Houses in the Building 2. Current Use of Houses 3. The reason for Closed, Vacant and Deserted Houses Part four: includes data for all Houses used for habitation or work and habitation, such as: 1. Name of the Head of Household No. of Household Members

Cleaning operations

The data processing stage contain of the following operations: 1. Editing before Data Entry At this stage all booklets were edited in the office using the instructions previously prepared for checking to ensure consistent data. 2. Data Entry Program The data entry program was prepared and designed according to the census questionnaire. The program was prepared by using the Oracle database. 3. Data Entry After the completion of the design and the testing of the data entry program and training of data keyers, work began on data entry.

Response rate

100%

Sampling error estimates

Not Applicaple

Abstract

The survey is designed to collect, analyze, and disseminate demographic and health data pertaining to the Palestinian population living in the Palestinian Territory, with a focus on demography, fertility, infertility, family planning, unmet needs, and maternal and child health, in addition to youth and the elderly. The 2010 survey includes new sections and elements, such as basic health and socio-economic information on different groups within the population: ever married woman less than 55 years and children aged less than five years, child labor in the age 5-14 years, child discipline 2-14 years, person education 5-24 years, youth aged 15-29 years, and elderly people over the age of 60.

Geographic coverage

The Data are representative at region level (West Bank, Gaza Strip), locality type (urban, rural, camp) and governorates

Analysis unit

Household, individual

Universe

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

Kind of data

Sample survey data [ssd]

Sampling procedure

Target Population The target population of the survey consists of all the following groups: 1- All Palestinian households normally residing in the Palestinian Territory. 2- Females aged 15 - 54 years. 3- Elderly people aged 60 or over. 4- Children aged 0 - 14 years and divided into the following categories: 0-5 years, 2-14 years, 5-14 years, with parts of the questionnaire customized for each group. 5- Youth aged 15 - 29 years and divided into the following categories: 15-24 years, 25-29 years, with parts of the questionnaire customized for youth.

Sampling Frame We relied on sampling frames established in PCBS and basically comprising the list of enumeration areas. (The enumeration area is a geographical area containing a number of buildings and housing units of about 120 housing units on average.)

The total frame consists of the following two parts:

1- West Bank and Gaza Sampling Frame: containing enumeration areas drawn up in 2007. In the West Bank: each enumeration area consists of a list of households with identification data to ascertain the address of individual households. In Gaza: each enumeration area contains a list of housing units with addresses to ascertain the address of individual households, plus identification data of the housing units.

2- Jerusalem Sampling Frame (inside checkpoints): contains enumeration areas only, geographically divided with information about the total number of households in these areas. However, there is no detailed information about addresses inside enumeration areas and the size of the enumeration area can be ascertained without the ability to identify the addresses.

Design Strata In the survey, two variables were chosen to divide the population into strata, depending on the homogeneity of parts of the population. Previous studies have shown that Palestinian households may be divided as follows: 1- Governorates: there are 16 governorates in the Palestinian Territory: 11 governorates in the West Bank and 5 in the Gaza Strip. 2- Locality Types: there are three types : urban, rural and refugee camps. All the available frames contain the strata variables. Sample Size We use the following formula to estimate the sample size:

    n  =  [(1.15) f(1-r) (r)4]  
  [(nh) p2(r0.07)]  

Where: - n: sample size requested for the main indicator or main estimate - 4: is a factor to achieve a 95 percent level of confidence - r is the predicted or anticipated prevalence (coverage rate) for the indicator - being estimated - 1.15 is the factor necessary to raise the sample size by 20 percent for non-response - f is the design effect - 0.07r is the margin of error to be tolerated at the 95 percent level of confidence, defined as 7 percent of r (7 percent represents the relative sampling error of r) - p is the proportion of the total population upon which the indicator, r, is based - nh is the average household size

To estimate the sample size of the survey we rely on the percentage of children under 5 years who suffer from stunting. We consider it as the main indicator for the survey (r) and it equals 10.2% (from MICS3 data -2006). Also, by returning to census data in 2007 we find the percentage of children aged 0 - 4 years =14.1%. Finally, the sample size = 15,355

Sample Design and Type After determining the sample size, which equals 15456 households, we selected a probability sample - a multi-stage stratified cluster sample as follows: 1- First stage: selecting a sample of clusters (enumeration areas) using PPS without replacement method to obtain 644 enumeration areas from the total enumeration area frame. 2- Second stage: selecting 24 households from each selected enumeration area of the first stage and using the systematic sample method. When reaching households, we enumerate all the targeted individuals from the groups: women (15-54) years, elderly aged 60 and more, children aged 0-5 years. 3- Third stage: selecting one child of age group 2-14 years for part of the questionnaire and one young person from the 15-29 age group to answer the youth attachment in the questionnaire. We use the Kish table to select one person at random.

Mode of data collection

Face-to-face [f2f]

Research instrument

The design of the survey complied with the standard specifications of health surveys previously implemented by PCBS. In addition, the survey included indicators of MICS4 to meet the needs of all partners.

    1.  Main questionnaire with the following parts:
     · Household questionnaire: Covers demographic and educational characteristics, chronic disease, smoking, discipline of children (2-14 years), child labor (5-14 years), education of children (5-24 years) and housing characteristics.

     · Health of women (15-54 years) regardless of marital status, awareness about AIDS, anemia in women (15-49 years).

     · Ever married women (15-54 years): Covers general characteristics of qualified women, reproduction, child mortality, maternal care, reproductive morbidity, family planning, and attitudes towards reproduction.

     · Children under age of 5: Covers children's health, vaccination against childhood diseases, early childhood development, chronic disease, and anemia.


 2. Attached questionnaires
    ·  Youth questionnaire (15-29 years): Covers general characteristics, awareness and perception of family planning, health status, awareness about sexually transmitted diseases and reproduction.

    ·  Elderly questionnaire (60 years and over): Covers general characteristics, social relations, activities, time-use, health status, and use of mass media.

Cleaning operations

Data editing took place at a number of stages through the processing including:

1. office editing and coding
2. during data entry
3. structure checking and completeness
4. structural checking of SPSS data files

Response rate

The survey sample consists of about 15,355 households of which 13,629 households completed the interview; whereas 8,740 households from the West Bank and 4,889 households in Gaza Strip. Weights were modified to account for non-response rate. The response rate in the West Bank reached 90.5% while in the Gaza Strip it reached 94.8%. The response rate in the Palestinian Territory reached 92.0%.

Sampling error estimates

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

Data appraisal

Different methods were applied in the assessment of the survey data, including: 1. Occurrences of missing values and answers like "other" and "do not know". 2. Examining inconsistencies between the various sections of the questionnaire, including within record and cross-record consistencies. 3. Comparability of data with previous surveys 2000, 2006 and showed logical homogeneity in the results. The results of these assessment procedures show that the data are of high quality and consistency.

As of January 14, 2025, the UN estimated that around 1.9 million refugees are currently sheltered in school buildings operated by the United Nations Relief and Works Agency for Palestine Refugees in the Near East (UNRWA). Around ** percent of Gaza's total population has been displaced due to the ongoing conflict. This was caused by attacks of radical Islamic Hamas' attacks on Israeli territory and the consequent counterstrikes of the Israeli military. Hamas attacks on Israel on October 7, 2023 The radical Islamic Palestinian terror organization Hamas attacked Israel in the early hours of October 7, 2023, on Sabbath - the Jewish day of rest. This strategic attack from Gaza was directed towards Israeli civilians and armed forces. An estimated ***** rockets were fired by Hamas from Gaza toward Israeli targets, hitting civilian buildings and military facilities. Hamas fighters entered the Israeli territory, killing around ***** of Israeli citizens. In the weeks that followed, the Israeli military conducted an aerial bombardment and launched a ground offensive in Gaza. Humanitarian pauses allowed aid to get into Gaza, but fighting has continued since a weeklong cease-fire ended on December 1, 2023. The attacks resulted in a massive escalation of the Middle Eastern conflict, which pushed a political solution further away. The number of civilian casualties in Gaza and Israel is rising each day the conflict continues. Humanitarian situation in Gaza Following Hamas' attacks on Israel, the Israeli military responded with airstrikes against positions of Hamas in the Gaza Strip and cut the region's supply. The Israeli military warned parts of Gaza about their air strikes and urged the population to leave their houses and seek refuge in the centers. Israel isolated the Gaza Strip from the outside world and stopped the supply of electricity, food, and fuel. On October 13, 2023, Israel prompted the Palestinian population of Gaza to vacate the region of northern Gaza. Around one million of the **** million Gazans dwelled in northern Gaza in high density. About half of the Gazan population is underaged. Since the terrorist organization Hamas launched its attacks on Israeli soil on October 7, 2023, around ***** Israelis have died, and ***** have been injured. Through retaliation attacks by the Israeli armed forces against Hamas in Gaza, over 47 thousand Palestinians have died, and around 99 thousand have been injured. There were ***** confirmed Palestinians killed in the Westbank through the ongoing conflict. Hamas's attack on Israel was the deadliest so far.

This horizontal bar chart displays male population (people) by capital city using the aggregation sum in West Bank and Gaza. The data is filtered where the date is 2021. The data is about countries per year.

Abstract

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

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

Geographic coverage

National coverage

Analysis unit

Households

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

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

Universe

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

Kind of data

Census/enumeration data [cen]

Sampling procedure

MICRODATA SOURCE: Palestinian Central Bureau of Statistics

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

SAMPLE UNIT: Households

SAMPLE FRACTION: 10%

SAMPLE SIZE (person records): 259,191

Mode of data collection

Face-to-face [f2f]

Research instrument

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

Response rate

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

Abstract

The Agricultural Census aims in general to establish an updated, detailed and accurate holdings database to assist in planning and policy making at all levels related to the agricultural sector. It also aims in specific to provide data on the structure of agriculture, especially for small administrative and geographical units, rare items, and to enable detailed cross-tabulations, and to provide data that can be used as a benchmark for reconciliation of current agricultural statistics; and for setting estimates for subsequent years, in addition to provide frames for agricultural sampling surveys.

Geographic coverage

The census also covered all geographical levels in the West Bank and Gaza Strip, so that: 1. Implementation of a comprehensive listing in Gaza Strip that enumeration areas represent more than 5% of households that practice agricultural activity, according to the Population, Housing and Establishments Census, 2017 data. 2. Visiting the households that practiced agricultural activity according to data of Population, Housing and Establishments Census, 2017 in the enumerated areas, where the percentage of households that practiced an agricultural activity is 1-4%. 3. Implementation of a comprehensive listing in the West Bank for all localities except camps and city centers in the following governorates (Nablus, Ramallah & Al-Bireh, Hebron and J2 in Jerusalem Governorate). 4. Implementation of a comprehensive listing in the enumeration areas of camps and city centers in the following governorates (Nablus, Ramallah, Al-Bireh, Hebron and J2 of Jerusalem Governorate), for households that practiced agricultural activity according to data of Population, Housing and Establishments Census 2017, more than 5%, and visiting the households that practiced agricultural activity according to data of Population, Housing and Establishments Census 2017 in the enumerated areas, where the percentage of households that practiced an agricultural activity is 1-4% in the same locality mentioned above. 5. About Jerusalem J1, a different methodology is applied in two phases. In the first phase, research and investigation are carried out in cooperation with responsible and dignitaries in Jerusalem J1 on agricultural holdings and holders, and in the second phase, enumeration of the holdings that were monitored in the first phase.

Analysis unit

Agricultural Holding

Universe

Includes agricultural holdings in Palestine in 2021

Kind of data

Census/enumeration data [cen]

Sampling procedure

The frame of the Agriculture Census includes a complete record of households and non-household agricultural holdings, where all households are enumerated and the household agricultural holdings are identified, in addition to a list of non-households holdings that is obtained by listing all buildings as well as a list from the Ministry of Agriculture which includes cooperative societies/charity societies, companies, and government and private holdings…etc.

The census also covered all geographical levels in the West Bank and Gaza Strip, so that: 1. Implementation of a comprehensive listing in Gaza Strip that enumeration areas represent more than 5% of households that practice agricultural activity, according to the Population, Housing and Establishments Census, 2017 data. 2. Visiting the households that practiced agricultural activity according to data of Population, Housing and Establishments Census, 2017 in the enumerated areas, where the percentage of households that practiced an agricultural activity is 1-4%. 3. Implementation of a comprehensive listing in the West Bank for all localities except camps and city centers in the following governorates (Nablus, Ramallah & Al-Bireh, Hebron and J2 in Jerusalem Governorate). 4. Implementation of a comprehensive listing in the enumeration areas of camps and city centers in the following governorates (Nablus, Ramallah, Al-Bireh, Hebron and J2 of Jerusalem Governorate), for households that practiced agricultural activity according to data of Population, Housing and Establishments Census 2017, more than 5%, and visiting the households that practiced agricultural activity according to data of Population, Housing and Establishments Census 2017 in the enumerated areas, where the percentage of households that practiced an agricultural activity is 1-4% in the same locality mentioned above. 5. About Jerusalem J1, a different methodology is applied in two phases. In the first phase, research and investigation are carried out in cooperation with responsible and dignitaries in Jerusalem J1 on agricultural holdings and holders, and in the second phase, enumeration of the holdings that were monitored in the first phase.

Sampling deviation

Not applicable

Mode of data collection

Computer Assisted Personal Interview [capi]

Research instrument

Computerized program

Cleaning operations

Post enumeration data processing phase was limited to final examination and cleaning of Agricultural Census databases, with documentation of examinations on all topics of Agricultural Census 2021 questions. Data processing phase focused on the following: 1. Checking the allowed transfers and values. 2. Checking the consistency between different questions of the census questionnaire based on logical relationships. 3. Checking on the basis of relations between certain questions so that a list of non-identical cases was extracted, reviewed and identified the source of the error case by case, and if such errors were immediately modified and corrected based on the source of the error3. Checking on the basis of relations between certain questions so that a list of non-identical cases was extracted, reviewed and identified the source of the error case by case, and if such errors were immediately modified and corrected based on the source of the error.

Response rate

Not Applicable.

Sampling error estimates

The sampling errors occur during the sample-based surveys but not in censuses as it is a comprehensive inventory of all agricultural holdings. These errors are easy to measure with the error point estimate also, since it is considered as an error in the sample.

Data appraisal

The non-sampling errors occur at any stage during the implementation of censuses and surveys. Therefore, it is necessary to provide for a data quality control system to ensure maximum accuracy. Many of these stages were used during the agriculture census planning and implementation where are-interview was carried out as follows:

• There are two models that were used to collect data and were uploaded to tablets. The first model is to enumerate households in all enumeration areas; in which the percentage of households that practiced an agricultural activity (according to the data of the Population, Housing and Establishments Census, 2017) is 5% or more, and the second model was used if the household had agricultural holdings.

• The enumerator visited Palestinian households in the enumeration areas in which the percentage of households that practiced agricultural activity (according to the data of the Population, Housing and Establishments Census, 2017) is less than 5%, so that the inventory model and the model prepared for agricultural holdings were if the tenure conditions were met.