{"doc_desc":{"title":"Consumer Price Index 2024","idno":"DDI-PSE-PCBS-CPI-2024-V1.0","producers":[{"name":"Palestinian Central Bureau of Statistics","abbreviation":"PCBS","affiliation":"State of Palestine","role":"Collection, processing and dissemination data"}],"prod_date":"2025-01-26","version_statement":{"version":"Version V1.0"}},"study_desc":{"title_statement":{"idno":"PSE-PCBS-CPI-2024-V1.0","title":"Consumer Price Index 2024","alt_title":"CPI","translated_title":"\u0627\u0644\u0631\u0642\u0645 \u0627\u0644\u0642\u064a\u0627\u0633\u064a \u0644\u0627\u0633\u0639\u0627\u0631 \u0627\u0644\u0645\u0633\u062a\u0647\u0644\u0643 2024"},"authoring_entity":[{"name":"Palestinian Central Bureau of Statistics","affiliation":"State of Palestine"}],"oth_id":[{"name":"Representative Office of Norway to the State of Palestine","affiliation":"Core Funding Group","email":"","role":"funding survey"}],"production_statement":{"producers":[{"name":"","affiliation":"","role":""}],"copyright":"All Rights Reserved Palestinian Central Bureau of Statistics, 2024","funding_agencies":[{"name":"Representative Office of Norway to the State of Palestine","abbreviation":"NOR","role":"funding survey"}]},"distribution_statement":{"contact":[{"name":"Division of user services","affiliation":"Palestinian Central Bureau of Statistics","email":"Dus@pcbs.gov.ps","uri":"www.pcbs.gov.ps"},{"name":"diwan","affiliation":"Palestinian Central Bureau of Statistics","email":"Diwan@pcbs.gov.ps","uri":"www.pcbs.gov.ps"}]},"series_statement":{"series_name":"Price Survey [hh\/prc]","series_info":"The Consumer Price Index survey is carried out on a monthly basis, and a series of data is available since 1996"},"version_statement":{"version":"version V1.0","version_date":"2025-05-22"},"study_info":{"keywords":[{"keyword":"Consumer Price","vocab":"Statistical terminology and indicators base","uri":"http:\/\/www.pcbs.gov.ps\/PCBS.Glossary\/Default.aspx?lang=ar"},{"keyword":"Consumer Basket","vocab":"Statistical terminology and indicators base","uri":"http:\/\/www.pcbs.gov.ps\/PCBS.Glossary\/Default.aspx?lang=ar"}],"topics":[{"topic":"consumption\/consumer behaviour [1.1]","vocab":"CESSDA","uri":"http:\/\/www.nesstar.org\/rdf\/common"}],"abstract":"The Consumer price surveys primarily provide the following:\nData on CPI in Palestine covering the West Bank, Gaza Strip and Jerusalem J1 for major and sub groups of expenditure.\nStatistics needed for decision-makers, planners and those who are interested in the national economy. \nContribution to the preparation of quarterly and annual national accounts data.\n\n\nConsumer Prices and indices are used for a wide range of purposes, the most important of which are as follows:\nAdjustment of wages, government subsidies and social security benefits to compensate in part or in full for the changes in living costs.\nTo 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.\nPrice index numbers are widely used to measure inflation rates and economic recession.\nPrice indices are used by the public as a guide for the family with regard to its budget and its constituent items.\nPrice 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.\nIt 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.","time_periods":[{"start":"2024-01-01","end":"2024-12-31","cycle":""}],"coll_dates":[{"start":"2024-01-01","end":"2024-12-31","cycle":""}],"nation":[{"name":"Palestine","abbreviation":"PSE"}],"geog_coverage":"Palestine\nWest Bank\nGaza Strip\nJerusalem","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.","data_kind":"Sample survey data [ssd]","notes":"The scope of the consumer price survey is to provide data on the prices of goods and services purchased by families, calculating indices at the level of major spending groups, percentages of change in the consumer price index."},"method":{"data_collection":{"data_collectors":[{"name":"Palestinian Central Bureau of Statistics","abbreviation":"PCBS","affiliation":"State of Palestine"}],"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","coll_mode":["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:\nFirst screen: shows the metadata for the data source, governorate name, governorate code, source code, source name, full source address, and phone number.\nSecond 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.\nThird screen: shows the item code, item name, item unit, item price, product availability, and reason for unavailability.\nFourth 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.\nFifth screen: saves and sends data through (VPN-Connection) and (WI-FI technology).\n\nIn 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.","coll_situation":"Data on prices were collected through field visits carried out by trained staff to selected markets including groceries, supermarkets, cloth and clothing markets, restaurants, general service offices, hospitals, private schools, wholesalers and factories, in addition to sources of construction products related to the index.\n\nThe interviewers were provided with questionnaires that included all the required items and data sources, along with detailed descriptions of goods and outlets. Electronic forms of questionnaire supported with GIS, and GPS mapping technique were designed specially to collect prices for different surveys through the use of tablet devices in the West Bank and Gaza Strip while paper questionnaires were used in Jerusalem J1.\n \nThe title of each source was clarified for easy access by the researchers.  The distribution of these resources in each city took into account covering all available goods and services and their diversity.  For example, the prices of vegetables were taken from popular markets in addition to specialized markets in different parts of the city. \n\nThree different prices for food products should be collected within one city in CPI, and one or two prices for the rest of the items, taking into consideration the speed or frequency of the change in the price of the item or service, which is shown by their frequent circulation.  The prices for each item were distributed throughout the month by distributing the visits to the sources within each city for period of four weeks, so that the prices for the commodity are monitored at different periods of the month.  As for vegetables and fruits, their prices were collected on Sunday, Tuesday, and Thursday of every week.\n\nData collection and field coordination were carried out according to the plan prepared for this purpose, in addition to the preparation of instructions, models and tools for fieldwork.\nThe fieldwork team selected for the price surveys should meet the following conditions and specifications:\nThey must have a degree in one of the following disciplines: Accounting, Economics, Finance and Banking.\nThose who have previously worked on the price surveys.\n\nIt should also be noted that the fieldwork team receives a full training course (theoretical and practical) to clarify all technical and field matters.  Those who pass the evaluation test successfully are selected.  The researchers of the fieldwork team are also supervised and monitored by the project management and the survey supervisor for a full week when starting work for the first time to assess the validity of the work in terms of the proficiency of all concepts and proper use of the data collection tool.\n\nThe fieldwork team consisted of a fieldwork coordinator, office managers and a field team in all governorates. PCBS provided offices in all governorates since the task of supervising, monitoring and auditing of the various project activities required the presence of offices in the governorates that are close to the various work areas to be used by the field teams before and after the completion of daily work in the processes of receipt and delivery of various work tools, filling forms, writing reports, and reviewing and auditing the outcome of daily work.\n\nThe fieldwork coordinator in each governorate carried out periodic monthly field visits with the field team to examine the progress of the work and inform the project management of any urgent developments in the field in order to solve them.  The project management also carried out periodic field visits in all governorates in order to examine the progress of the work and verify the researchers' ability to identify themselves, carry out the surveying processes, use tablets, complete forms, audit and review data, and follow up all recommendations resulting from the field visits.\n\nCompilation of price data in Gaza Strip since October 7, 2023\n1.\tThe process of collecting prices in the Gaza Strip stopped in the usual way, which was mainly based on direct contact by the prices team in the Gaza Strip with the owners of the various sales outlets to collect prices and enter them directly on tablets within the electronic form dedicated to collecting the various prices of goods and services within the consumer basket, or by going to the field to collect the prices of some goods and verify their weights, brand and country of origin from time to time, and create a state of cooperation and communication Between the price crew and the owners of the outlets.\n2.\tIn light of the intensive destruction in the Gaza Strip, many shops and sales outlets that were within the target sample to collect prices in the Gaza Strip were destroyed, and accordingly the project management instructed the price team in the Gaza Strip to resort to collecting price data for goods available in the Gaza markets through the commercial stalls spread and close to the asylum and shelter centers for the displaced in the Strip, shops that are still operating under difficult conditions, in addition to the central markets. Somewhat distant from military operations in the Gaza Strip.\n3.\tThe price team was stressed the need to collect prices throughout the week by going to the field or calling 3 times a week in various governorates of the Gaza Strip from northern Gaza to Rafah.\n4.\tCollecting the prices of high-weight goods in the consumer basket, especially food and beverages, fuel, gas, medicines, transportation fees, potable water, and others....\n5.\tThe data is sent by the price team through text messages via WhatsApp group that has been allocated to the price team in the Gaza Strip on a daily basis.","act_min":"The fieldwork team consisted of a fieldwork coordinator, office managers and a field team in all governorates. PCBS provided offices in all governorates since the task of supervising, monitoring and auditing of the various project activities required the presence of offices in the governorates that are close to the various work areas to be used by the field teams before and after the completion of daily work in the processes of receipt and delivery of various work tools, filling forms, writing reports, and reviewing and auditing the outcome of daily work.\n\nThe fieldwork coordinator in each governorate carried out periodic monthly field visits with the field team to examine the progress of the work and inform the project management of any urgent developments in the field in order to solve them.  The project management also carried out periodic field visits in all governorates in order to examine the progress of the work and verify the researchers' ability to identify themselves, carry out the surveying processes, use tablets, complete forms, audit and review data, and follow up all recommendations resulting from the field visits.","weight":"The relative significance of goods and services in the consumer basket (CB) is based on the result of the Palestinian Expenditure and Consumption Survey (PECS) conducted in 2016 -2017 on a sample of 3,740 families. \nThe value of consumption of each item of goods and services in the CB reflects the relative significance of that item in total Palestinian consumption patterns during that period. The overall value of the CB is assumed to be one hundred thousand points (100,000).  \n\nIt should be noted that the estimated imputed rent has been excluded from the results of the PECS when deriving weights for CPI and is not represented in the calculation of the CPI by the housing group.","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.\n\nAt the end of the data collection process in all governorates, the data will be edited using the following process:\nLogical 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.\nMathematical revision of the average prices for items in governorates and the general average in all governorates.\nField revision of prices through selecting a sample of the prices collected from the items.","method_notes":"Price programs were designed using the programming language: (Apache Cordova Phone Gap) and for exterior design both (HTML and CSS3) were used while for coding, (JAVA script and J-Query) were used.\n\nDue to the use of tablets in the collection of price data, the computerized form supported with GIS, and GPS mapping technique, which was loaded to the survey program was collected and entered by the field researcher. Automated auditing rules were set at the commodity level to each price program; namely:\nTo compare the price entered by the researcher for that commodity with the price range set for each commodity so that a minimum value and a maximum value for the price were determined for each commodity in a way that the program did not accept any entry price below the minimum value or higher than the maximum value.  If a wrong price was entered, a window appeared for the researcher showing that the entered price was below the minimum price or above the maximum limit of the price, and he\/she should check and correct it.\nTo compare the price entered by the researcher with the price entered in the previous month directly so that the rate of permissible change in the value of the price does not exceed the determined level of that commodity. If a wrong price was entered; a window appeared to the researcher showing that the price entered exceeded the allowable rate of change, and he\/she should check and correct it.\nTo compare the price entered by the researcher with the average price of that product so that the rate of permissible change in the value of the price does not exceed the determined level of that commodity. If a wrong price was entered, a window appeared to the researcher showing that the price entered exceeded the allowable rate of change after it was compared to the base price, and he\/she should check and correct it.\n\nThe program does not accept any wrong prices.  In case one of the above mentioned windows appeared, the researcher checked the price again and corrected it directly in the entry program.  Therefore, errors were discovered and greatly reduced in the field."},"analysis_info":{"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. \nNon-sampling errors are probable at all stages of data collection or data entry.  Non-sampling errors include:\nNon-response errors: the selected sources demonstrated a significant cooperation with interviewers; so, there wasn't any case of non-response reported during 2019.\nResponse 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: \nMore 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.\nInterviewer errors: a number of procedures were taken to ensure data accuracy throughout the process of field data compilation: \nInterviewers were selected based on educational qualification, competence, and assessment. Interviewers were trained theoretically and practically on the questionnaire.\nMeetings were held to remind interviewers of instructions.  In addition, explanatory notes were supplied with the surveys.\nA 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%): \nData entry staff was selected from among specialists in computer programming and were fully trained on the entry programs.\nData 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%. \nThe 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.\nData 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:\nSeasonal adjustment processes and estimations of non-available items' prices:\n     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 necessary to define the specifications of these items in order to ensure that the quality or specifications do not differ when prices are collected.  However, the problem sometimes encountered is the lack of prices for some commodities due to seasonality, which often appears in vegetables and fruits during some stages for a particular source or for all sources and is expected to reappear (temporary disappearance) as is the case for sources that are closed for a short time for any reason.\nSuch cases are treated in a scientific way called the (Group Relative Method), which is the process of estimating the prices based on the change in the prices of the remaining sources for the same category in the absence of the commodity in all sources.  In the case of the closure of an entire source on a temporary basis, all the prices of that source are estimated on the basis of changes in the prices of the sources that share the same items.  An example of cases encountered in the CPI survey is the absence of varieties and sources affiliated to fruits and vegetables, as well as clothing.\nProcessing the disappearance of commodity classes and sources:\nIt should be noted that the basket of goods and services that have been selected and called by the CB is not fixed but changes over time by changing in the consumers' patterns and tastes.  This is in addition to new commodities appearing.   Therefore, it is necessary to change them and find substitutes with a special replacement methodology.  When certain items of goods completely disappear, they are replaced with new items similar in type and specifications by selecting the new category which has a high rate of consumer demand.  The base price of the new category is estimated using three statistical methods:\nDirect Comparison Method:\nThis method is used if the country of origin of the item changes with the consistency of the specifications of the product such as its unit and ingredients and there is no change in price between the two varieties.  So, the same base price is used.  The use of this method led to maintaining the correct representation of the Palestinian CB and the index was not affected by the change in the origin of the commodity.\nTime Interference Method:\nThis method is used when the current commodity is about to disappear and loses its representative in the CPI but its price is still available and getting low, with the appearance of a new item that must be replaced within the same period, so a new base price is estimated \n\nThis method has led to keeping pace with the developments and changes happening to goods in the Palestinian CB and reflect reality.\n\nTime Linking Method:\nThis method is used when the current commodity disappears completely in a certain month and a new alternative appears in the following months. The old commodity is replaced by the new one and the new base price is estimated \n\nUsing this method, the logic and quality of the CPI are maintained over time series, and the data values are not affected by the disappearance of a particular category from the market and, therefore, the index is not diverted because of the disappearance of the category.\n\nThe project management is dealing with many such cases that faced the survey through the previous scientific methods, such as changes in the quality of electrical appliances, household appliances, as well as the items and sources of clothing and footwear."}},"data_access":{"dataset_use":{"conf_dec":[{"txt":"General Statistics Law No. (5) for Year 2000\n\nArticle (17)\n1. All individual information and data submitted to the Bureau for statistical purposes shall be treated as confidential and shall not be divulged, in whole or in part, to any individual or to a public or private body, or used for any purpose other than for preparing statistical tables. \n2. The Bureau shall endeavor to issue official statistical publications in aggregate tables, which do not disclose individual data, in conformity with the confidentiality of statistical data.","required":"yes","form_no":"","uri":""}],"contact":[{"name":"Palestinian Central Bureau of Statistics","affiliation":"State of Palestine","email":"Diwan@pcbs.gov.ps","uri":"www.pcbs.gov.ps"},{"name":"Palestinian Central Bureau of Statistics","affiliation":"State of Palestine","email":"Dus@pcbs.gov.ps","uri":"www.pcbs.gov.ps"}],"cit_req":"Palestinian Central Bureau of Statistics,  Prices and Price Indices: Annual Bulletin 2024, V1.0, Ramallah - Palestine.","conditions":"1. pledges  the utilization of \"data\" or any copies thereof shall be limited to the purposes agreed upon including not granting any third parties any access to these data. Restrictions applies to any data duplication or transformed setting for purposes other than meeting the requirements of the statistical programs used in data analysis.\n\n2. Utilization of \"data\" or any copies thereof is limited to personal computers normally .\n\n3. pledges not to alter the value of any observation in the original \"data\"; nevertheless, this does not apply on subjecting data to any processes or procedures aiming to derive new variables. The first party does not bear any professional, administrative or financial responsibility for any losses incurred as a result of changes in the variables values.","disclaimer":"PCBS  provid  data collected for purely statistical purposes, and therefore does not assume any responsibility for legal or professional from any claim or analysis or interpretation or misuse of this data."}}}}