In 2023, the U.S. Consumer Price Index was 309.42, and is projected to increase to 352.27 by 2029. The base period was 1982-84. The monthly CPI for all urban consumers in the U.S. can be accessed here. After a time of high inflation, the U.S. inflation rateis projected fall to two percent by 2027. United States Consumer Price Index ForecastIt is projected that the CPI will continue to rise year over year, reaching 325.6 in 2027. The Consumer Price Index of all urban consumers in previous years was lower, and has risen every year since 1992, except in 2009, when the CPI went from 215.30 in 2008 to 214.54 in 2009. The monthly unadjusted Consumer Price Index was 296.17 for the month of August in 2022. The U.S. CPI measures changes in the price of consumer goods and services purchased by households and is thought to reflect inflation in the U.S. as well as the health of the economy. The U.S. Bureau of Labor Statistics calculates the CPI and defines it as, "a measure of the average change over time in the prices paid by urban consumers for a market basket of consumer goods and services." The BLS records the price of thousands of goods and services month by month. They consider goods and services within eight main categories: food and beverage, housing, apparel, transportation, medical care, recreation, education, and other goods and services. They aggregate the data collected in order to compare how much it would cost a consumer to buy the same market basket of goods and services within one month or one year compared with the previous month or year. Given that the CPI is used to calculate U.S. inflation, the CPI influences the annual adjustments of many financial institutions in the United States, both private and public. Wages, social security payments, and pensions are all affected by the CPI.

Denmark Consumer Price Index (CPI): Weights: MG: Social Protection data was reported at 1.736 % in 2017. This records a decrease from the previous number of 1.859 % for 2016. Denmark Consumer Price Index (CPI): Weights: MG: Social Protection data is updated yearly, averaging 1.903 % from Jan 2001 (Median) to 2017, with 17 observations. The data reached an all-time high of 2.154 % in 2008 and a record low of 1.476 % in 2002. Denmark Consumer Price Index (CPI): Weights: MG: Social Protection data remains active status in CEIC and is reported by Statistics Denmark. The data is categorized under Global Database’s Denmark – Table DK.I009: Consumer Price Index: Weights.

Graph and download economic data for Harmonized Index of Consumer Prices: Social Protection for Poland (CP1240PLM086NEST) from Jan 1996 to Jul 2025 about Poland, social assistance, harmonized, CPI, price index, indexes, and price.

Netherlands Consumer Price Index (CPI): Weights: GS: Social Protection data was reported at 1,634.000 Per MN in 2018. This records a decrease from the previous number of 1,760.000 Per MN for 2017. Netherlands Consumer Price Index (CPI): Weights: GS: Social Protection data is updated yearly, averaging 1,238.000 Per MN from Jan 1996 (Median) to 2018, with 23 observations. The data reached an all-time high of 1,901.000 Per MN in 2012 and a record low of 0.000 Per MN in 1999. Netherlands Consumer Price Index (CPI): Weights: GS: Social Protection data remains active status in CEIC and is reported by Statistics Netherlands. The data is categorized under Global Database’s Netherlands – Table NL.I009: Consumer Price Index: Weights.

Consumer price indexes (CPIs) are index numbers that measure changes in the prices of goods and services purchased or otherwise acquired by households, which households use directly, or indirectly, to satisfy their own needs and wants. In practice, most CPIs are calculated as weighted averages of the percentage price changes for a specified set, or ‘‘basket’’, of consumer products, the weights reflecting their relative importance in household consumption in some period. CPIs are widely used to index pensions and social security benefits. CPIs are also used to index other payments, such as interest payments or rents, or the prices of bonds. CPIs are also commonly used as a proxy for the general rate of inflation, even though they measure only consumer inflation. They are used by some governments or central banks to set inflation targets for purposes of monetary policy. The price data collected for CPI purposes can also be used to compile other indices, such as the price indices used to deflate household consumption expenditures in national accounts, or the purchasing power parities used to compare real levels of consumption in different countries.

In an effort to further coordinate and harmonize the collection of CPI data, the international organizations agreed that the International Monetary Fund (IMF) and the Organisation for Economic Cooperation and Development (OECD) would assume responsibility for the international collection and dissemination of national CPI data. Under this data collection initiative, countries are reporting the aggregate all items index; more detailed indexes and weights for 12 subgroups of consumption expenditure (according to the so-called COICOP-classification), and detailed metadata. These detailed data represent a valuable resource for data users throughout the world and this portal would not be possible without the ongoing cooperation of all reporting countries. In this effort, the OECD collects and validates the data for their member countries, including accession and key partner countries, whereas the IMF takes care of the collection of data for all other countries.

Abstract

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

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

Geographic coverage

Palestine West Bank Gaza Strip Jerusalem

Analysis unit

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

Universe

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

Kind of data

Sample survey data [ssd]

Sampling procedure

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

Sampling deviation

Not apply

Mode of data collection

Computer Assisted Personal Interview [capi]

Research instrument

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

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

Cleaning operations

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

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

Response rate

Not apply

Sampling error estimates

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

Data appraisal

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

Graph and download economic data for Harmonized Index of Consumer Prices: Social Protection for Euro Area (19 Countries) (CP1240EZ19M086NEST) from Dec 2000 to Jul 2025 about social assistance, Euro Area, harmonized, Europe, CPI, price index, indexes, and price.

Abstract

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

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

Geographic coverage

Palestine West Bank Gaza Strip Jerusalem

Analysis unit

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

Universe

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

Kind of data

Sample survey data [ssd]

Sampling procedure

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

Sampling deviation

Not apply

Mode of data collection

Computer Assisted Personal Interview [capi]

Research instrument

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

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

Cleaning operations

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

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

Response rate

Not apply

Sampling error estimates

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

Data appraisal

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

Detailed monthly consumer price index published according to the COICOP classification divisions and groups.Base: April 2019 (=100)*Imputed rental for housing: the actual & imputed rent has been separated starting from May 2019**Accommodation services and social protection: Newley added in May 2019

Graph and download economic data for Harmonized Index of Consumer Prices: Education, Health, and Social Protection for Sweden (EDUHEASEM086NEST) from Jan 1996 to Jul 2025 about Sweden, social assistance, health, harmonized, education, CPI, price index, indexes, and price.

Moldova Consumer Price Index (CPI): Social Services: Services of Children Care in Preschool data was reported at 118.800 Prev Dec=100 in 2017. This records an increase from the previous number of 105.200 Prev Dec=100 for 2016. Moldova Consumer Price Index (CPI): Social Services: Services of Children Care in Preschool data is updated yearly, averaging 110.200 Prev Dec=100 from Dec 1995 (Median) to 2017, with 23 observations. The data reached an all-time high of 215.500 Prev Dec=100 in 1995 and a record low of 104.200 Prev Dec=100 in 2002. Moldova Consumer Price Index (CPI): Social Services: Services of Children Care in Preschool data remains active status in CEIC and is reported by National Bureau of Statistics of the Republic of Moldova. The data is categorized under Global Database’s Moldova – Table MD.I005: Consumer Price Index: Previous December=100.

Graph and download economic data for Harmonized Index of Consumer Prices: Social Protection for United Kingdom (CP1240GBM086NEST) from Dec 1996 to Nov 2020 about social assistance, harmonized, United Kingdom, CPI, price index, indexes, and price.

Moldova Consumer Price Index (CPI): Social Services data was reported at 114.200 Prev Dec=100 in 2007. This records an increase from the previous number of 104.700 Prev Dec=100 for 2006. Moldova Consumer Price Index (CPI): Social Services data is updated yearly, averaging 110.800 Prev Dec=100 from Dec 1995 (Median) to 2007, with 13 observations. The data reached an all-time high of 122.200 Prev Dec=100 in 1995 and a record low of 104.700 Prev Dec=100 in 2006. Moldova Consumer Price Index (CPI): Social Services data remains active status in CEIC and is reported by National Bureau of Statistics of the Republic of Moldova. The data is categorized under Global Database’s Moldova – Table MD.I005: Consumer Price Index: Previous December=100.

Sweden Consumer Price Index (CPI): Miscellaneous Goods and Services: Social Protection data was reported at 133.320 1980=100 in Mar 2025. This records an increase from the previous number of 133.310 1980=100 for Feb 2025. Sweden Consumer Price Index (CPI): Miscellaneous Goods and Services: Social Protection data is updated monthly, averaging 85.620 1980=100 from Jan 2008 (Median) to Mar 2025, with 207 observations. The data reached an all-time high of 133.320 1980=100 in Mar 2025 and a record low of 75.210 1980=100 in Jan 2008. Sweden Consumer Price Index (CPI): Miscellaneous Goods and Services: Social Protection data remains active status in CEIC and is reported by Statistics Sweden. The data is categorized under Global Database’s Sweden – Table SE.I008: Consumer Price Index: 1980=100.

Graph and download economic data for Harmonized Index of Consumer Prices: Education, Health, and Social Protection for Turkey (EDUHEATRM086NEST) from Jan 1996 to Jul 2025 about social assistance, Turkey, health, harmonized, education, CPI, price index, indexes, and price.

Graph and download economic data for Harmonized Index of Consumer Prices: Social Protection for Italy (CP1240ITM086NEST) from Dec 1999 to Jul 2025 about social assistance, Italy, harmonized, CPI, price index, indexes, and price.

Graph and download economic data for Harmonized Index of Consumer Prices: Social Protection for Finland (CP1240FIM086NEST) from Dec 1999 to Jul 2025 about Finland, social assistance, harmonized, CPI, price index, indexes, and price.

Saudi Arabia Consumer Price Index (CPI): MoM: MG: Social Protection data was reported at 0.018 % in Mar 2025. This records a decrease from the previous number of 0.061 % for Feb 2025. Saudi Arabia Consumer Price Index (CPI): MoM: MG: Social Protection data is updated monthly, averaging 0.000 % from Jan 2013 (Median) to Mar 2025, with 147 observations. The data reached an all-time high of 13.757 % in Jul 2020 and a record low of -2.812 % in Jul 2024. Saudi Arabia Consumer Price Index (CPI): MoM: MG: Social Protection data remains active status in CEIC and is reported by General Authority for Statistics. The data is categorized under Global Database’s Saudi Arabia – Table SA.I002: Consumer Price Index: Month Over Month.

Child Protective Investigations (CPI) is authorized to investigate abuse and neglect allegedly committed by a person responsible for a child's care, custody or welfare and to protect abused and neglected children from further harm. This authorization is derived from the U.S. Social Securities Act, Texas Family Code, Human Resources Code, Child Abuse Prevention and Treatment Act, Indian Child Welfare Act and the Adam Walsh Act. CPI conducts either a traditional investigation or Alternative Response (AR). Both require CPI to assess safety and take needed actions to protect a child and assess the risk of future abuse or neglect in the foreseeable future. AR, however, allows for a more flexible, family engaging approach on lower priority cases involving alleged victims who are age 6 or older. AR differs from traditional investigations in that there is no substantiation of allegations, no entry of perpetrators into the Central Registry (a repository for reports of child abuse and neglect), and there a heightened focus on guiding the family to plan for safety in a way that works for them and therefore sustains the safety. Completed investigations only include those cases conducted as a traditional investigation that were not administratively closed or merged into another stage. An investigation can only be administratively closed if all allegations have a disposition of administrative closure. A completed investigation can include more than one alleged victim. Completed investigations do not include any Alternative Response cases. A description of Alternative Response and how it differs from a traditional investigation is in the glossary. FOOTNOTES An investigation represents a report of abuse or neglect and can involve multiple children. The data on completed investigations does not include investigative stages that were administratively closed or merged into another investigation. All completed investigations have a case disposition and a risk finding. Visit dfps.state.tx.us for information on Abuse/Neglect Investigations and all DFPS programs.

Consumer Price Index (CPI): Bali: Personal Care and Other Services: Social Protection data was reported at 101.880 2018=100 in Dec 2023. This stayed constant from the previous number of 101.880 2018=100 for Nov 2023. Consumer Price Index (CPI): Bali: Personal Care and Other Services: Social Protection data is updated monthly, averaging 100.010 2018=100 from Dec 2021 (Median) to Dec 2023, with 25 observations. The data reached an all-time high of 104.140 2018=100 in Sep 2022 and a record low of 100.010 2018=100 in May 2023. Consumer Price Index (CPI): Bali: Personal Care and Other Services: Social Protection data remains active status in CEIC and is reported by Statistics of Bali Province. The data is categorized under Indonesia Premium Database’s Inflation – Table ID.IB017: Consumer Price Index: by Province: Bali.