Consumer Price Index 2022
West Bank and Gaza, 2022
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Reference ID
PSE-PCBS-CPI-2022-V1.0
Producer(s)
Palestinian Central Bureau of Statistics
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Created on
May 08, 2023
Last modified
May 18, 2023
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Identification
Survey ID Number
PSE-PCBS-CPI-2022-V1.0
Title
Consumer Price Index 2022
Translated Title
الرقم القياسي لاسعار المستهلك 2022
Country
| Name | Country code |
|---|---|
| Palestine | PSE |
Study type
Price Survey [hh/prc]
Series Information
The Consumer Price Index survey is carried out on a monthly basis, and a series of data is available since 1996
Abstract
The Consumer price surveys primarily provide the following:
Data on CPI in Palestine covering the West Bank, Gaza Strip and Jerusalem J1 for major and sub groups of expenditure.
Statistics needed for decision-makers, planners and those who are interested in the national economy.
Contribution to the preparation of quarterly and annual national accounts data.
Consumer Prices and indices are used for a wide range of purposes, the most important of which are as follows:
Adjustment of wages, government subsidies and social security benefits to compensate in part or in full for the changes in living costs.
To provide an index to measure the price inflation of the entire household sector, which is used to eliminate the inflation impact of the components of the final consumption expenditure of households in national accounts and to dispose of the impact of price changes from income and national groups.
Price index numbers are widely used to measure inflation rates and economic recession.
Price indices are used by the public as a guide for the family with regard to its budget and its constituent items.
Price indices are used to monitor changes in the prices of the goods traded in the market and the consequent position of price trends, market conditions and living costs. However, the price index does not reflect other factors affecting the cost of living, e.g. the quality and quantity of purchased goods. Therefore, it is only one of many indicators used to assess living costs.
It is used as a direct method to identify the purchasing power of money, where the purchasing power of money is inversely proportional to the price index.
Data on CPI in Palestine covering the West Bank, Gaza Strip and Jerusalem J1 for major and sub groups of expenditure.
Statistics needed for decision-makers, planners and those who are interested in the national economy.
Contribution to the preparation of quarterly and annual national accounts data.
Consumer Prices and indices are used for a wide range of purposes, the most important of which are as follows:
Adjustment of wages, government subsidies and social security benefits to compensate in part or in full for the changes in living costs.
To provide an index to measure the price inflation of the entire household sector, which is used to eliminate the inflation impact of the components of the final consumption expenditure of households in national accounts and to dispose of the impact of price changes from income and national groups.
Price index numbers are widely used to measure inflation rates and economic recession.
Price indices are used by the public as a guide for the family with regard to its budget and its constituent items.
Price indices are used to monitor changes in the prices of the goods traded in the market and the consequent position of price trends, market conditions and living costs. However, the price index does not reflect other factors affecting the cost of living, e.g. the quality and quantity of purchased goods. Therefore, it is only one of many indicators used to assess living costs.
It is used as a direct method to identify the purchasing power of money, where the purchasing power of money is inversely proportional to the price index.
Kind of Data
Sample survey data [ssd]
Unit of Analysis
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.
Version
Version Description
version V1.0
Version Date
2023-02-28
Scope
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.
Topics
| Topic | Vocabulary | URI |
|---|---|---|
| consumption/consumer behaviour [1.1] | CESSDA | Link |
Coverage
Geographic Coverage
Palestine
West Bank
Gaza Strip
Jerusalem
West Bank
Gaza Strip
Jerusalem
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.
Producers and sponsors
Primary investigators
| Name | Affiliation |
|---|---|
| Palestinian Central Bureau of Statistics | State of Palestine |
Producers
Funding Agency/Sponsor
| Name | Abbreviation | Role |
|---|---|---|
| Representative Office of Norway to the State of Palestine | NOR | funding survey |
Other Identifications/Acknowledgments
| Name | Affiliation | Role |
|---|---|---|
| Representative Office of Norway to the State of Palestine | Core Funding Group | funding survey |
Sampling
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).
Deviations from the Sample Design
Not apply
Response Rate
Not apply
Weighting
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.
The 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).
It 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.
The 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).
It 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.
Data Collection
Dates of Data Collection
| Start | End |
|---|---|
| 2022-01-01 | 2022-12-31 |
Time periods
| Start date | End date |
|---|---|
| 2022-01-01 | 2022-12-31 |
Data Collection Mode
Computer Assisted Personal Interview [capi]
Supervision
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.
The 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.
The 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.
Data Collection Notes
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.
The 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.
The 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.
Three 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.
Data 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.
The fieldwork team selected for the price surveys should meet the following conditions and specifications:
They must have a degree in one of the following disciplines: Accounting, Economics, Finance and Banking.
Those who have previously worked on the price surveys.
It 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.
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.
The 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.
The 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.
The 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.
Three 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.
Data 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.
The fieldwork team selected for the price surveys should meet the following conditions and specifications:
They must have a degree in one of the following disciplines: Accounting, Economics, Finance and Banking.
Those who have previously worked on the price surveys.
It 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.
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.
The 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.
Data Collectors
| Name | Abbreviation | Affiliation |
|---|---|---|
| Palestinian Central Bureau of Statistics | PCBS | State of Palestine |
Questionnaires
Questionnaires
A tablet-supported electronic form was designed for price surveys to be used by the field teams in collecting data from different governorates, with the exception of Jerusalem J1. The electronic form is supported with GIS, and GPS mapping technique that allow the field workers to locate the outlets exactly on the map and the administrative staff to manage the field remotely. The electronic questionnaire is divided into a number of screens, namely:
First screen: shows the metadata for the data source, governorate name, governorate code, source code, source name, full source address, and phone number.
Second screen: shows the source interview result, which is either completed, temporarily paused or permanently closed. It also shows the change activity as incomplete or rejected with the explanation for the reason of rejection.
Third screen: shows the item code, item name, item unit, item price, product availability, and reason for unavailability.
Fourth screen: checks the price data of the related source and verifies their validity through the auditing rules, which was designed specifically for the price programs.
Fifth screen: saves and sends data through (VPN-Connection) and (WI-FI technology).
In case of the Jerusalem J1 Governorate, a paper form has been designed to collect the price data so that the form in the top part contains the metadata of the data source and in the lower section contains the price data for the source collected. After that, the data are entered into the price program database.
First screen: shows the metadata for the data source, governorate name, governorate code, source code, source name, full source address, and phone number.
Second screen: shows the source interview result, which is either completed, temporarily paused or permanently closed. It also shows the change activity as incomplete or rejected with the explanation for the reason of rejection.
Third screen: shows the item code, item name, item unit, item price, product availability, and reason for unavailability.
Fourth screen: checks the price data of the related source and verifies their validity through the auditing rules, which was designed specifically for the price programs.
Fifth screen: saves and sends data through (VPN-Connection) and (WI-FI technology).
In case of the Jerusalem J1 Governorate, a paper form has been designed to collect the price data so that the form in the top part contains the metadata of the data source and in the lower section contains the price data for the source collected. After that, the data are entered into the price program database.
Data Processing
Data Editing
The price survey forms were already encoded by the project management depending on the specific international statistical classification of each survey. After the researcher collected the price data and sent them electronically, the data was reviewed and audited by the project management. Achievement reports were reviewed on a daily and weekly basis. Also, the detailed price reports at data source levels were checked and reviewed on a daily basis by the project management. If there were any notes, the researcher was consulted in order to verify the data and call the owner in order to correct or confirm the information.
At the end of the data collection process in all governorates, the data will be edited using the following process:
Logical revision of prices by comparing the prices of goods and services with others from different sources and other governorates. Whenever a mistake is detected, it should be returned to the field for correction.
Mathematical revision of the average prices for items in governorates and the general average in all governorates.
Field revision of prices through selecting a sample of the prices collected from the items.
At the end of the data collection process in all governorates, the data will be edited using the following process:
Logical revision of prices by comparing the prices of goods and services with others from different sources and other governorates. Whenever a mistake is detected, it should be returned to the field for correction.
Mathematical revision of the average prices for items in governorates and the general average in all governorates.
Field revision of prices through selecting a sample of the prices collected from the items.
Data Appraisal
Estimates of Sampling Error
The findings of the survey may be affected by sampling errors due to the use of samples in conducting the survey rather than total enumeration of the units of the target population, which increases the chances of variances between the actual values we expect to obtain from the data if we had conducted the survey using total enumeration. The computation of differences between the most important key goods showed that the variation of these goods differs due to the specialty of each survey. The variance of the key goods in the computed and disseminated CPI survey that was carried out on the Palestine level was for reasons related to sample design and variance calculation of different indicators since there was a difficulty in the dissemination of results by governorates due to lack of weights.
Non-sampling errors are probable at all stages of data collection or data entry. Non-sampling errors include:
Non-response errors: the selected sources demonstrated a significant cooperation with interviewers; so, there wasn't any case of non-response reported during 2019.
Response errors (respondent), interviewing errors (interviewer), and data entry errors: to avoid these types of errors and reduce their effect to a minimum, project managers adopted a number of procedures, including the following:
More than one visit was made to every source to explain the objectives of the survey and emphasize the confidentiality of the data. The visits to data sources contributed to empowering relations, cooperation, and the verification of data accuracy.
Interviewer errors: a number of procedures were taken to ensure data accuracy throughout the process of field data compilation:
Interviewers were selected based on educational qualification, competence, and assessment. Interviewers were trained theoretically and practically on the questionnaire.
Meetings were held to remind interviewers of instructions. In addition, explanatory notes were supplied with the surveys.
A number of procedures were taken to verify data quality and consistency and ensure data accuracy for the data collected by a questioner throughout processing and data entry (knowing that data collected through paper questionnaires did not exceed 5%):
Data entry staff was selected from among specialists in computer programming and were fully trained on the entry programs.
Data verification was carried out for 10% of the entered questionnaires to ensure that data entry staff had entered data correctly and in accordance with the provisions of the questionnaire. The result of the verification was consistent with the original data to a degree of 100%.
The files of the entered data were received, examined, and reviewed by project managers before findings were extracted. Project managers carried out many checks on data logic and coherence, such as comparing the data of the current month with that of the previous month, and comparing the data of sources and between governorates.
Data collected by tablet devices were checked for consistency and accuracy by applying rules at item level to be checked.
Non-sampling errors are probable at all stages of data collection or data entry. Non-sampling errors include:
Non-response errors: the selected sources demonstrated a significant cooperation with interviewers; so, there wasn't any case of non-response reported during 2019.
Response errors (respondent), interviewing errors (interviewer), and data entry errors: to avoid these types of errors and reduce their effect to a minimum, project managers adopted a number of procedures, including the following:
More than one visit was made to every source to explain the objectives of the survey and emphasize the confidentiality of the data. The visits to data sources contributed to empowering relations, cooperation, and the verification of data accuracy.
Interviewer errors: a number of procedures were taken to ensure data accuracy throughout the process of field data compilation:
Interviewers were selected based on educational qualification, competence, and assessment. Interviewers were trained theoretically and practically on the questionnaire.
Meetings were held to remind interviewers of instructions. In addition, explanatory notes were supplied with the surveys.
A number of procedures were taken to verify data quality and consistency and ensure data accuracy for the data collected by a questioner throughout processing and data entry (knowing that data collected through paper questionnaires did not exceed 5%):
Data entry staff was selected from among specialists in computer programming and were fully trained on the entry programs.
Data verification was carried out for 10% of the entered questionnaires to ensure that data entry staff had entered data correctly and in accordance with the provisions of the questionnaire. The result of the verification was consistent with the original data to a degree of 100%.
The files of the entered data were received, examined, and reviewed by project managers before findings were extracted. Project managers carried out many checks on data logic and coherence, such as comparing the data of the current month with that of the previous month, and comparing the data of sources and between governorates.
Data collected by tablet devices were checked for consistency and accuracy by applying rules at item level to be checked.
Data Appraisal
Other technical procedures to improve data quality:
Seasonal adjustment processes and estimations of non-available items' prices:
Under each category, a number of common items are used in Palestine to calculate the price levels and to represent the commodity within the commodity group. Of course, it is 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.
Such 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.
Processing the disappearance of commodity classes and sources:
It 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:
Direct Comparison Method:
This 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.
Time Interference Method:
This 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
This method has led to keeping pace with the developments and changes happening to goods in the Palestinian CB and reflect reality.
Time Linking Method:
This 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
Using 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.
The 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.
Seasonal adjustment processes and estimations of non-available items' prices:
Under each category, a number of common items are used in Palestine to calculate the price levels and to represent the commodity within the commodity group. Of course, it is 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.
Such 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.
Processing the disappearance of commodity classes and sources:
It 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:
Direct Comparison Method:
This 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.
Time Interference Method:
This 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
This method has led to keeping pace with the developments and changes happening to goods in the Palestinian CB and reflect reality.
Time Linking Method:
This 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
Using 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.
The 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.
Access policy
Contacts
| Name | Affiliation | URL | |
|---|---|---|---|
| Division of user services | Palestinian Central Bureau of Statistics | Dus@pcbs.gov.ps | www.pcbs.gov.ps |
| diwan | Palestinian Central Bureau of Statistics | Diwan@pcbs.gov.ps | www.pcbs.gov.ps |
Confidentiality
General Statistics Law No. (5) for Year 2000
Article (17)
1. 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.
2. 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.
Access 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.
2. Utilization of "data" or any copies thereof is limited to personal computers normally .
3. 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.
2. Utilization of "data" or any copies thereof is limited to personal computers normally .
3. 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.
Citation requirements
Palestinian Central Bureau of Statistics, Prices and Price Indices: Annual Bulletin 2022, V1.0(05-2023), Ramallah - Palestine.
Access authority
| Name | Affiliation | URL | |
|---|---|---|---|
| Palestinian Central Bureau of Statistics | State of Palestine | Diwan@pcbs.gov.ps | www.pcbs.gov.ps |
| Palestinian Central Bureau of Statistics | State of Palestine | Dus@pcbs.gov.ps | www.pcbs.gov.ps |
Disclaimer and copyrights
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.
Copyright
All Rights Reserved Palestinian Central Bureau of Statistics, 2022
Metadata production
DDI Document ID
DDI-PSE-PCBS-CPI-2022-V1.0
Producers
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Palestinian Central Bureau of Statistics | PCBS | State of Palestine | Collection, processing and dissemination data |
Date of Metadata Production
2023-02-28
DDI Document version
Version V1.0