1.1. Contact organisation
Federal Statistical Office of Germany (FSO)
1.2. Contact organisation unit
Section Consumer Prices
Contact: verbraucherpreisindex@destatis.de
1.3. Contact name
Restricted from publication
1.4. Contact person function
Restricted from publication
1.5. Contact mail address
Gustav-Stresemann Ring 11
65189 Wiesbaden
GERMANY
1.6. Contact email address
Restricted from publication
1.7. Contact phone number
Restricted from publication
1.8. Contact fax number
Restricted from publication
2.1. Metadata last certified
2 February 2026
2.2. Metadata last posted
2 February 2026
2.3. Metadata last update
2 February 2026
3.1. Data description
The harmonised index of consumer prices (HICP) is a consumer price index (CPI) that is calculated according to a harmonised approach. It measures the change over time of the prices of consumer goods and services acquired by households (inflation).
Due to the common methodology, the HICPs of the countries and European aggregates can be directly compared.
3.2. Classification system
The HICP uses the European classification of individual consumption according to purpose (ECOICOP), version 2.
3.3. Coverage - sector
The HICP covers the final monetary consumption expenditure of the household sector.
3.4. Statistical concepts and definitions
The main statistical variables are price indices.
3.5. Statistical unit
The basic unit of statistical observation are prices for consumer products.
3.6. Statistical population
Please see the information under the next points.
3.6.1. Statistical target population
The target statistical universe is the 'household final monetary consumption expenditure' (HFMCE) on the economic territory of the country by both resident and non-resident households. The household sector to which the definition refers, includes all individuals or groups of individuals irrespective of, in particular, the type of area in which they live, their position in the income distribution and their nationality or residence status. These definitions follow the national accounts concepts in the European System of Accounts.
3.6.1.1. Statistical target population - national specifics
Since 2023, the main data source for the weighting of the German HICP is household consumption expenditure from the National Accounts (NA). For a more detailed pattern, results from the sample survey of income and expenditure ('Einkommens- und Verbrauchsstichprobe', EVS) and from the continuous household budget surveys ('Laufende Wirtschaftsrechnungen', LWR) are used. National accounts data are adjusted by the expenditures for owner-occupied housing and for FISIM which are not part of the HICP. Further adjustments to NA data are made in order to be compliant with the domestic concept. As there is no data from official statistics on foreigners’ consumption expenditures in Germany, external data from a study on tourism — 'tourism satellite account' (TSA) on behalf of the Federal Ministry of Economic Affairs and Energy is used for weights calculation. This account only contains data on consumption expenditures made by tourists, but a priori no expenditures for business reasons made by foreigners. Data from the sample survey of income and expenditure ('Einkommens- und Verbrauchsstichprobe', EVS) and from the continuous household budget surveys ('Laufende Wirtschaftsrechnungen', LWR) must be converted in order to be compliant with the domestic concept which is applied in Consumer Price Statistics. Therefore, data from EVS and LWR must be reduced by German household’s expenditure in foreign countries and be completed by adding foreigners’ expenditures in Germany. For these purposes, results from NA are used primarily.
Weighting data always refer to NA’s data for the year t-1. Basically, the lowest level weights are updated every year with household consumption expenditure referring to the year t-1.
For the years 2023 and 2024, the basic data for the lowest level aggregates are built on a three-year-average (2019-2021) in order to take account of effects based on the COVID-19 pandemic. Since 2025, data for only one year are used (2020).
At least all HICP sub-indices with a weight accounting for more than one part of a thousand of total expenditure (two parts of a thousand of seasonal products during a typical in-season period) are transmitted to Eurostat. In addition to that also sub-indices with a weight accounting for less than one part of a thousand of total expenditure are transmitted to Eurostat in case it is deemed to be important to show the price development of these positions.
In the course of price collection, special attention is paid to the fact that the surveyed item is bound for private consumption (a price collector’s selection of a pneumatic hammer will be rejected, for example). Fines and penalties are not included in the HICP.
3.7. Reference area
Please see the information under the next point.
3.7.1. Geographical coverage
The HICP refers to the economic territory of a country as referred to in paragraph 2.05 of Annex A to ESA 2010, with the exception that the extraterritorial enclaves situated within the boundaries of a Member State or a country are included and the territorial enclaves situated in the rest of the world are excluded.
3.8. Coverage - Time
Please see the information under the next points.
3.8.1. Start of time series
The HICP series started in January 1997.
3.8.2. Start of time series - national specifics
See the HICP database.
3.9. Base period
Until 2025: 2015=100
Starting in 2026: 2025=100
Any subindex is based on 2025=100, there are no exceptions.
The following units are used:
- Index point
- Percentage change on the same period of the previous year (rates);
- Percentage change on the previous period (rates);
- Percentage share of the total (weights).
HICP is a monthly statistics.
6.1. Institutional Mandate - legal acts and other agreements
Harmonised Indices of Consumer Prices (HICPs) are harmonised inflation figures required under the Treaty on the Functioning of the European Union. Regulation (EU) 2016/792of the European Parliament and the Council of 11 May 2016 (OJ L 135) sets the legal basis for establishing a harmonised methodology for the compilation of the HICP and the HICP-CT.
This regulation is implemented by Commission Regulation (EU) 2020/1148&of 31 July 2020.
Further legislation is available in the web page Legislation - Harmonised Indices of Consumer Prices (HICP) - Eurostat.
Other methodological documentation, namely recommendations and guidelines, is available in the HICP dedicated section, under 'Methodology'.
6.1.1. Legal acts - deviations
Eurostat assessed the HICP compliance for Germany in 2009, 2010, 2013 and in 2023. The compliance monitoring procedure by Eurostat in 2023 came to the result that the methods used for producing the German HICP are of a good standard. However, instances of non-compliance with the HICP legal framework, such as the frequency of a systematic sample update and the use of a three-year-average of household consumption expenditure, were identified. Germany changed to an average annual consumption expenditure for the compilation of the HICP in 2025 and will continue using expenditure referring to one year only. According to the last compliance monitoring report by Eurostat, the identified instances of non-compliance with the HICP legal framework are not likely to have a significant impact on the all items inflation rate.
6.1.2. National legal acts and other agreements
List:
- Act on Statistics for Federal Purposes (Federal Statistics Act - BStatG)
- Price Statistics Act (PreisStatG), amendment took effect in 2020.
- Ordinance on Implementing the Price Statistics Act (PreisStatGDV)
- Fifth Ordinance on Implementing the Price Statistics Act (PreisStatGDV)
The up-to-date wording of the relevant national legislation can be found on the web page: Gesetze im Internet (in German).
6.1.3. Access to administrative data
Access to administrative data is facilitated by paragraph 5a of the Federal Statistics Act ('Bundesstatistikgesetz'). According to this, public institutions are obliged to transmit to the FSO metadata for analysing the suitability of the administrative data for a federal statistic. If the analysis comes to the result that the respective administrative data serves the purposes of the statistics, the data transmission to the FSO is mandatory.
6.1.4. Organisation unit - portfolio
The following statistics are produced in the section Consumer Prices: Consumer price index, harmonised index of consumer prices, retail price index (to be used as a compensation measure (contract adjustments) and to deflate nominal values of economic statistics).
The organigram is given in a separate file.
Annexes:
Organigram Destatis November 2025
6.1.5. Regional organisation of consumer price statistics
The Consumer Price Statistics are produced commonly by the FSO and 14 Statistical Laender Offices for 16 Laender.
Tasks of the FSO:
- Development of methods, procedures and guidelines as well as of the 'joint IT system'
- Provision of basic information for index calculation
- Calculation (and publication) of results for Germany
- International contacts
Tasks of the Laender Offices (for centrally collected prices, the FSO also fulfils the obligations of a Laender Office):
- Provision of basic information for index calculation
- Evaluation of replacements proposed by price collectors
- Assessment and, if necessary, correction of codings for replacements given by price collectors
- Plausibility checks and quality assurance
- Quality adjustment
- Calculation (and publication) of Laender results
- First selection and detailed documentation of goods and services of the target sample
- Training of price collectors
There are Price Statistics Working Group meetings with responsible Statistical Offices' unit leaders twice a year and several special Task Force meetings with members of the Statistical Offices' staff members. A seminar on current issues on price statistics for the Laender Offices (method trainings on the implementation of new EU regulations or on new guidelines for the German Consumer Price Statistics, for example) is conducted by the FSO once a year. Additional special workshops - for price collectors, too - are organised on the occasion.
6.2. Institutional Mandate - data sharing
At current state, there is no regular data sharing with international institutions.
7.1. Confidentiality - policy
Regulation (EC) No 223/2009 of the European Parliament and of the Council, of 11 March 2009, on the transmission of data subject to statistical confidentiality to the Statistical Office of the European Communities.
7.2. Confidentiality - data treatment
At the finest level of detail only highly aggregated results are published.
8.1. Release calendar
The HICP is released according to Eurostat’s Release calendar (filters: Economy and Finance/Euro indicator).
The calendar is publically available and published at the end of the year for the full following year.
8.2. Release calendar access
The annual release calendar is available at FSO website > Press > Annual release calendar.
8.3. Release policy - user access
In line with the Community legal framework and the European Statistics Code of Practice Eurostat disseminates European statistics on Eurostat's website (see point 10 - 'Accessibility and clarity') respecting professional independence and in an objective, professional and transparent manner in which all users are treated equitably. The detailed arrangements are governed by the Eurostat protocol on impartial access to Eurostat data for users.
At national level, results of the HICP are provided in press releases, in online publications and the Genesis-Online database, all of which can be accessed via the Federal Statistical Office's website.
Information about pre-access is published on the FSO website > Press > Press releases information for external users about statistical results.
Monthly.
10.1. Dissemination format - News release
A press release for CPI and HICP is issued each time results are published. The press release is intended to communicate the most important results in a summarised form. The dates of publication are listed in an annual release calendar that is available publicly.
10.2. Dissemination format - Publications
Major current results of the HICP for Germany are published on the consumer price index theme page at FSO website > Themes > Economy > Prices > Consumer-Price-Index under 'Tables' (table 'Harmonised consumer price index'). HICPs for Germany as well as for the EU-Member states are available for free download (only in German) on FSO webpage > Themen > Wirtschaft > Preise > Verbraucherpreisindex under 'Publikationen', see 'Harmonisierter Verbraucherpreisindex'.
10.3. Dissemination format - online database
The GENESIS-Online database is available FSO website > GENESIS-Online Database > 6 > 61 > 611 > 61121 > Tables permits the results of the overall HICP and in a technical (subject-related) breakdown of 130 sub-indices to be directly retrieved in various file formats (.xls, .html and .csv) from 1996 (if available).
10.3.1. Publication levels
The German HICP is disseminated as the overall index and at the 2-, 3- and 4-digit level. The dissemination at the 5-digit level was successfully implemented in 2019. HICP rates and index levels are disseminated with 1 decimal.
10.3.2. Publication by regions
The German HICP is not disseminated by regions.
10.3.3. Publication by households
Since 2003, national CPI is not disseminated for different types of households anymore.
10.4. Dissemination format - microdata access
Due to the Federal Statistics Act, micro data can be used for scientific purposes, but only in an anonymised form and according to the general policy regarding confidentiality. If necessary, there are special analyses of micro data for academic or scientific research which are performed by staff at the Statistical Offices obliged to respect confidentiality.
10.5. Dissemination format - other
The results of the HICP as well as results for the EU-Member states at a finer level of detail are available on the homepage of the Statistical office of the European Union (Eurostat).
10.6. Documentation on methodology
The HICP Methodological Manual 2024 provides the reference methodology for the production of HICP , together with more recent methodological developments which can be found in legislation, methodological notes and guidelines.
10.6.1. Further methodological guidelines available at national level
Methodological papers on the HICP are issued in the following publications:
- WiSta - Wirtschaft und Statistik journal: FSO website > Methods > WISTA-Scientific Journal;
- Explanatory notes on the statistics (only in German): FSO website > Themen > Wirtschaft > Preise > Verbraucherpreisindex > in the 'Methods' section;
- Methods (only in German): FSO website > Themen > Wirtschaft > Preise > Verbraucherpreisindex > Methoden, see 'Methodenpapiere'.
10.7. Quality management - documentation
See Eurostat's Compliance Monitoring Reports of 2009, 2010, 2015 and its follow-up report of 2018, and 2023 are available on Eurostat's web page: Quality - Harmonised Indices of Consumer Prices (HICP).
Quality reports are published at the FSO homepage but currently only in German: > Themen > Wirtschaft > Preise > Verbraucherpreisindex und Inflationsrate under 'Qualitätsberichte'.
11.1. Quality assurance
See information under the next points.
11.1.1. Quality management - Compliance Monitoring
The document HICP Compliance Monitoringdetails the compliance monitoring process.
11.1.2. Quality assurance - national specifics
In 1999, a comprehensive quality management system based on Total Quality Management has been introduced at the FSO with the EFQM Excellence Model of the European Foundation for Quality Management as its conceptual frame.
Since then, numerous measures have been initiated as part of the Statistical Quality Offensive. This includes the development and definition of strategic goals (fit 2012, fit 2008, fit 2005), the annual planning cycle of the closed conference of the senior management including annual programme planning, agreements on targets (contracts), programme and resources planning, cost accounting, controlling and regular staff surveys.
To continue to guarantee and expand the quality level achieved, the Statistical Offices of the Federation and the Laender have developed and approved a quality manual. The Quality Manual has strong links to the existing basic documents at the European level. The quality guidelines are a consistent further development and elaboration of the Code of Practice and the Quality Assurance Framework.
Several hundred 'Quality Guidelines for the Statistical Production Process' are formulated which guide German official statistics in their daily work. The quality guidelines describe concrete procedures for all phases of the implementation of official statistics (e.g. data collection, preparation, dissemination) which serve to ensure the high quality of the statistical processes and products and whose implementation is binding for all statistics.
The HICP is compiled in accordance with both comprehensive provisions in the relevant legal bases and the European methodological guidelines and requirements. Differences to the national consumer price index are documented and explained to users. The delivery and publication dates for the German HICP are agreed before the start of each year.
A processing program is used for computation purposes for both the German HICP and the national CPI. It controls the individual process steps from price collection through to the calculation of results and carries out, and documents comprehensibly, (nearly) all calculations. Plausibility checks are built in each stage of processing to prevent data entry errors by issuing warnings if implausible data are entered. Critical data that have been entered by price collectors must be confirmed and/or be specified by specially trained staff of the statistical offices. Additionally, the processing program computes indicators as a basis for further quality checks. Among other things, the most peculiar results must be listed for each product type and be checked by appropriately trained staff of the statistical offices after the computation of the Laender results. Furthermore, specially trained staff of the Federal Statistical Office again compares the results of the various Laender. Data that differ considerably will be checked once more.
The working group on 'Price collection for consumer price statistics', which comprises representatives of the Federal Statistical Office and the statistical offices of the Laender, regularly analyses weaknesses in the process of statistical production and develops quality improvement methods.
Eurostat additionally carries out its own data checks for HICP purposes. It regularly requests reports on national computation practices and monitors compliance with European requirements during so-called Compliance Monitoring Visits. The results of such visits are published on the internet. Due to the common data basis, they are relevant to quality assurance activities in relation to the national CPI, too. In addition to an assessment of compliance with the requirements of EU regulations, the results comprise recommendations for improvement whose implementation is monitored by Eurostat.
11.2. Quality management - assessment
See information under the next points.
11.2.1. Compliance monitoring - last report and main results
The last available compliance monitoring or follow-up reports can be found in the dedicated HICP part of Eurostat’s website, under ‘Quality'.
11.2.2. Quality assessment - national specifics
The German HICP is characterised especially by its high relevance for inflation measurement, its comparability within the European Union, its accuracy and very good timeliness. Special importance is attached to the transparency of data collection and computation methods. Fulfilling the relevant requirements, the HICP serves as a central indicator of inflation trends in Germany and as a basis for international comparisons of inflation rates. The concepts and methods of the HICP are developed according to international standards and they rely on the experiences of all EU member states in the field of consumer price statistics. Improving the quality and the comparability of the HICP is a permanent process.
12.1. Relevance - User Needs
In addition to being a general measure of inflation, the HICP is also used in the areas of:
- wages, social benefit and contract indexation
- economic forecasting and analysis
- measuring specific price trends
- accounting purposes and deflating other series
- inflation targeting by central banks
- cross-country economic comparisons.
The euro area (evolving composition) index is used by the European Central Bank (ECB) as the main indicator for monetary policy management. The ECB and the European Commission's Directorate-General for Economic and Financial Affairs (DG ECFIN) use the HICP for assessing price stability and price convergence required for entry into European Monetary Union.
Other users include: National Central Banks, financial institutions, economic analysts, the media and the public at large.
12.1.1. User Needs - national specifics
The HICP is used by various user groups especially for the following three purposes:
- Inflation measure;
- Convergence criteria;
- Indexation of financial instruments by using the HICP as a compensation benchmark.
However, there is only limited use as compensation benchmark at the national level of the HICP.
Typical and regular users of the HICP are the German government, especially the ministry of economic affairs and analysts in the banking or insurance sector.
12.2. Relevance - User Satisfaction
There is a committee of experts on prices and wages, the so-called "Fachausschuss 'Preise und Verdienste'".
Expert committees commissioned by the Statistical Advisory Committee and other statistical working parties deal with specialist subjects. Discussions of expert committees can make it possible to tap the knowledge and the experience of external experts for the planning and development of official statistics. Users and respondents are given a chance to articulate their interests. At the same time, representatives of official statistics may explain their concerns and clarify the feasibility of proposals in discussions with the parties concerned.
At current state, there is no survey in place which relates to the satisfaction of users and HICP. Perhaps the only 'measure' of user satisfaction may be the amount of clicks and downloads which is regularly evaluated.
12.3. Completeness
Regarding ECOICOP sub-indices, especially at 5-digit level, certain indices are not provided because they are not included in the coverage of the HICP, because they were excluded for conceptual reasons (e.g. life insurance), the degree of methodological harmonisation is not yet sufficient or because their consumption expenditure of the private household sector in Germany is very low. The same explanation holds for the HICP-CT.
13.1. Accuracy - overall
As sampling is based on purposive selection, the sampling error cannot be formally calculated or estimated. To keep the unknown sampling error as low as possible, however, more than 300,000 individual prices are collected every month and a highly sophisticated stratification model is applied. Non-sampling errors are not quantified in HICP construction. Activities such as continuously improving the methodology and taking a wide range of quality assurance measures at different levels are however intended to reduce non-sampling errors to a minimum. An accuracy of 0.1 percentage points is sought for the overall HICP, while inaccuracies are larger at finer levels of detail regarding, in particular, the expenditure on products with a small importance for consumption.
The generally high accuracy of the HICP has also been confirmed by the relevant CPI analyses made during regular revisions where, in most cases, noteworthy revision differences have only been the result of methodological improvements. Mostly, changes in the CPI methodology are carried out in a corresponding manner in the HICP, too, though not at the same time. As methodological changes in the HICP are usually not accompanied by back-calculations, the discrepancies caused by changes in the methodology may be larger for the HICP than for the CPI in years of methodological change.
Discrepancies between provisional and final results have been small (a maximum of +/-0.1 percentage points to date).
13.2. Sampling error
Except for rents, constructing the HICP is not based on a random sample. A sampling frame is not available from which a random sample could be drawn either directly or with reasonable effort. Purposive selection, mostly in combination with the cut-off principle, is instead used in drawing the sample. For this reason, a sampling error cannot be formally calculated or estimated although there are sampling-related errors. To keep the unknown sampling error as low as possible, more than 300,000 individual prices are collected every month and a highly sophisticated stratification model is applied. It can be assumed that the monthly development of prices is reflected very accurately in both the overall index and aggregated sub-indices using this non-random procedure.
13.3. Non-sampling error
Non-sampling errors are not quantified in HICP construction. Continuously improving the methodology is however intended to reduce non-sampling errors to a minimum.
- Systematic errors due to deficiencies in the sampling frame: An individual sampling frame is not available. The sampling frame for the HICP is rather compiled from different sources. Gaps are closed by estimates.
- Errors because of non-response (units and variables/items): Compared to other surveys, non-response is very low because, typically, individuals or enterprises are not questioned or interviewed. Instead, prices are collected by specially trained price collectors. It may nonetheless happen that information is justifiably missing, for instance, because a survey unit is closed for holidays or an observation unit cannot be visited as it only operates on a seasonal basis or the product is temporary not available (out of stock or seasonal effect). Regarding such temporary phenomena, updating procedures are integrated in the processing program to prevent biases. The relevant automated calculations are initiated by specific code-based routines. In cases of permanent non-response (if, for instance, a unit ceases to operate or a product is no longer offered), the price collectors have to look for replacements without delay.
- Compilation and processing errors: As the processing program incorporates consistency and plausibility checks, measurement or data entry errors are largely prevented in the process of data compilation. Inconsistent entries are rejected by the processing program. Owing to the incorporated plausibility checks, warning messages are displayed if, for instance, atypical price or quantity changes occur. If a warning message is ignored, the relevant case will be automatically shown to a specially qualified staff member of the competent statistical office for final assessment or clarification. Processing errors are prevented by automated routines or calculations of the processing program.
- Effects depending on the model used: Typically, the weights are kept constant over a relatively long period of time when applying the Laspeyres formula (fixed-base index). Although the structure of household expenditure changes slowly, however, it does so from year to year. To account for changes in the structure of household expenditure, the HICP weighting pattern is updated every year. In addition, methodological adjustments are implemented shortly after they have been decided. Unlike the CPI, the HICP is a Laspeyres chain index that does without recalculating data of preceding periods. In contrast to the national CPI, the HICP is therefore affected by changing consumption patterns and methodological changes.
13.3.1. Coverage error
An individual sampling frame is not available. The sampling frame for the HICP is rather compiled from different sources. Gaps are closed by estimates.
13.3.1.1. Coverage error population
With the use of household consumption expenditure from the National Accounts as a main source for the weighting scheme of the HICP in 2023, the expenditure of individuals living in institutional households is included in the HICP. Before that the expenditure of individuals living in institutional households was not included in the weighting scheme of the HICP because it is excluded from the sample survey of income and expenditure.
13.3.1.2. Coverage error regions
The price collection of the basket of goods and services is conducted in 94 regions in 16 Laender. No part of the country is excluded from the index.
14.1. Timeliness
The full set of HICPs is published each month according to a pre-announced schedule, usually between 15 and 18 days after the end of the reference month. Each year, the January news release is published at the end of February to allow for the annual update of the weights of individual product groups and the relative country weights of Members States in the country-group aggregates.
The euro area flash estimate is published on the last working day of the reference month or shortly after that.
14.1.1. Time lag - final result
Final results are published around the middle of the month following the reference month.
14.1.2. Timeliness of sub-indices
There are no sub-indices for month t for which the prices do not refer to month t, but some period before that.
14.2. Punctuality
Since the March 1997, launch of the HICP release, the HICP for the country groups aggregates has always been published on the pre-announced release dates.
15.1. Comparability - geographical
HICPs across Member States aim to be comparable. Any differences at all levels of detail should only reflect differences in price changes or expenditure patterns.
To this end, concepts and methods have been harmonised by means of legislation. HICPs that deviate from these concepts and methods are deemed comparable if they result in an index that is estimated to differ systematically by less than or equal to 0.1 percentage points on average over one year against the previous year (Article 4 of Council and Parliament Regulation (EU) 2016/792).
15.2. Comparability - over time
HICP comparability over time is ensured. Methodological changes or changes in the consumption and shopping habits are incorporated every year. Due to the fact that data are not recalculated for previous periods, however, the annual adjustments may lead to methodological breaks in the time series of sub-indices, which will limit HICP comparability over time. In individual cases, comparability can be achieved for specific purposes, provided the data required are in place.
In the series of the HICP-AP, there is a break in January 2015 which is due to the introduction of a new methodology of identifying administered prices (AP).
A new sample of rents was introduced from January 2015 to January 2017. This did not lead to a single break in a specific month since the introduction of the improved sample was an ongoing process. However, the implementation of the related weights for the different type of landlords and for the regions below the Laender level could lead to breaks in the series of the HICP. The same phenomenon is currently taking place: The new sample for rents is being introduced from 2025 to 2027.
To maintain comparability over time, the German HICP was revised in January 2019 from 2015 to 2018, due to the introduction of a new methodology for package holidays. Annual inflation rates in the months of 2015 are distorted due to the change in methodology. From January 2016 onwards, the annual inflation rates can be derived from indices compiled according to the same methodology.
With the publication of the final results for reference month October 2025, data errors in Division 12 "Miscellaneous goods and services" were corrected retroactively for the period from January to September 2025. The errors concerned the product types "1262203100 Charge for tax consultant services", "1270200100 Fee for lawyer's or notary's services" and "1240203200 Residential care, statutorily insured persons" and their effects extended as far as the 2-digit level and affected three special groupings.
15.3. Coherence - cross domain
Differences between the HICP and national CPI
In contrast to the German CPI, the HICP is constructed as a chain index with an annually changing weighting pattern. Typically, HICP figures of previous periods are not recalculated when reweighting the expenditure and incorporating methodological changes. However, the HICP takes into account more recent changes in consumption patterns.
Regarding the territorial and population coverage, there are no differences between CPI and HICP.
Unlike the CPI, the HICP does not include household final consumption expenditure on games of chance. Additionally, owner-occupied housing is not included in the HICP while in the CPI it is estimated using the rental equivalence approach. The same applies to broadcasting fees which are part of the CPI but for methodological reasons not included in the HICP. Further, crèche fees enter the German CPI in ECOICOP 10.1, while they are still part of ECOICOP 12.4 for the German HICP.
If a seasonal pattern cannot be rejected, CPI figures are not chained by linking to previous December values (as for the HICP), but to annual averages (of the new base year).
15.4. Coherence - internal
The HICPs are internally coherent. Higher level aggregations are derived from detailed indices according to well-defined procedures.
Not available.
17.1. Data revision - policy
The HICP series, including back data, is revisable under the terms set in Articles 17-20 of Commission Implementing Regulation (EU) 2020/1148.
17.1.1. Data revision - policy - national specifics
HICP
Routine revisions: At the end of a reference month, the provisional HICP results are estimated on the basis of provisional Laender results available by that time. In the middle of the following month, the final HICP results will be published based on the complete range of final data in place.
Methodological revisions: A new weighting base is introduced every year 13 months after the end of the year to which the weights pertain. Where applicable, methodological changes can be incorporated in this context, too. The price base for the current reference year is December of the previous year. Together with the weighting base, the price base is adjusted every year. A new index base is introduced usually at ten-year intervals, and more precisely one month after the end of the reference years ending in 5.
The HICP results are usually neither recalculated for preceding periods nor revised; instead they are chain-linked to the data published previously. This also applies if more up-to-date weighting information is available.
CPI
Routine revisions: see above routine revisions of the HICP.
Methodological revisions: For the consumer price index, methodological revisions are conducted in the form of so called regular adaptations. At regular intervals (typically every five years), a new consumer price index is introduced with a new base year. Besides adapting the weighting pattern for goods and services to the current consumption habits of households and updating the Laender and outlet-type weights, the survey catalogue is systematically reviewed and methodological changes are made on that occasion.
The planned revision for 2018 was postponed to 2019. The newest revision was conducted in 2023. The next revision of the CPI is planned for 2028.
17.2. Data revision - practice
As regards published HICP, there have been corrections in:
- February and March 2015,
- January and April 2016,
- January and February 2019
- January to September 2025.
The revisions in 2015 were due to corrections for hospital services. The details were submitted to Eurostat at the time the revisions occurred.
In January 2019, the German HICP was revised from 2015 to 2018 according to a new methodology for package holidays. The seasonal pattern of the German indices for package holidays has changed due to a different statistical treatment of package holidays. In order to obtain undistorted annual inflation rates for 2019, back series of package holidays indices in the German HICP are revised.
The revisions in 2025 refer to a correction of a mistake in COICOP 12.7 Other services.
As regards the HICP-CT, there have been several corrections, namely in:
- January 2010,
- May 2011,
- July 2011,
- September 2011,
- January until May 2011,
- September 2012,
- January to March 2015,
- June 2016,
- September and October 2016,
- January and February 2019
- January to September 2025.
The revisions in 2016 were due to corrections for international package holidays. The details were submitted to Eurostat at the time the revisions occurred.
As regards the HICP-AP, the composition of the administered prices has been revised for January 2015 to December 2017. This revision was caused by the comprehensive reassessment of the administered prices based on a new methodology for identifying administered prices. Also in 2023, the HICP-AP underwent a recomposition due to the rearrangement of product groups in the CPI caused by the introduction of a new base year and adjustment of the weighting scheme.
18.1. Source data
Please see information under the next points.
18.1.1. Weights
The main sources for the weights are National Accounts, the sample survey of income and expenditure (Einkommens- und Verbrauchsstichprobe), the continuous household budget survey (Laufende Wirtschaftsrechnungen) and tax statistics. Any of the used statistics referring to COICOP is based on ECOICOP ver. 2.
Since 2012, weighting data for the German HICP refer to data for the year t-2. During the COVID 19-pandemic Germany changed to data referring to the year t-1, as it was more suitable for the circumstances. After detailed quality checks of the data Germany decided to keep weighting data for the year t-1. Basically, the lowest level weights are updated every year with household consumption expenditure referring to the year t-1. Then, price-updating to the previous year’s December price level is carried out.
18.1.1.1. Compilation at elementary aggregate level
The lowest level of aggregation is the national 10-digit-level taken from the national CPI. The lowest level of aggregation for which explicit weights exist (elementary aggregate level) is Product (COICOP-10-digit (own classification for the German CPI))/Outlet/Laender level. The steps are as follows: Prices in the Laender are aggregated to lowest level indices on outlet and Laender level. These indices are then aggregated to Laender-indices which are accordingly aggregated to lowest level indices for the whole of Germany. This procedure refers to any of the subgroups of the HICP.
Every five years, the weighting pattern for the national CPI, from which the weighting pattern for the HICP on the lower level is derived, is redetermined based on a very comprehensive and detailed evaluation of a large number of different data sources and it is specified in a very detailed manner. The current weighting pattern refers to the year 2020=100. The weighting pattern for 2025=100 will be implemented in the beginning of 2028.
When compiling the weights at the elementary aggregate level, overcoverage or undercoverage known in several statistics must be rectified. For instance, the consumption of alcohol and tobacco indicated in the sample survey of income and expenditure and in the continuous household budget surveys is assumed to be too low. Therefore, the data are adjusted using the results of excise duty statistics.
In addition to the weighting pattern for goods and services, weighting patterns for outlet types and for the Laender are used. Laender weights are derived from the information on household final consumption expenditure in the domestic territory that is provided in the national accounts of the Laender. For the outlet type weights the following main sources are used: market research data on the turnover distribution in retail trade, official trade statistics, and relevant information available at the statistical offices of the Laender (for the regional breakdown on Laender level).
Any basic information used for weighting purposes refer to the same years as the base year displays.
The weights of the different aggregation levels are updated annually by using provisional results from the previous year’s national accounts (t-1).
18.1.1.2. List of elementary aggregates
Restricted from publication
18.1.1.3. Compilation of sub-index weights
The HFMCE is calculated from the individual consumption expenditure of households minus narcotics, imputed rentals for housing, prostitution, life insurance, health insurance, FISIM, net purchases abroad, and pensions. These items are adjusted with factors from the quarterly national accounts statistic of import/exports statistics, microcensus, growth rate of insurance premiums, FISIM growth rate, and the balance of payments.
The sub-index weights are calculated from the elementary aggregate weights (basic weighting information). Hence, the sub-index weights are subject to the same sources and calculations (see section 18.1.1.1).
According to the regulatory framework of the HICP the underlying expenditure shares should be derived from private consumption expenditure of the national accounts (NA) reviewed and updated to make them representative of the year t-1.
Until 2021, sub-index weights were updated by National Accounts data based on t-2. Since 2021, the German HICP has used data from the previous year’s national accounts (t-1). For the year 2025 for the German HICP, provisional NA data from year t-1 was taken and supplemented by all available and relevant information from the household budget surveys and other data sources. This procedure was implemented during the corona pandemic and has proven appropriate for regular use. Data are obtained from provisional NA data for all four quarters of the previous year. However, the fourth quarter of the previous year is mainly estimated and only computed in order to produce an annual result. In January the data basis for NA figures for HFCE of the 4th quarter is not yet complete. For some short-term statistics, results for the first month of the quarter, October, are available. Additional missing data points for the remaining months are being estimated using econometric models and expert knowledge. After a review and update of the expenditure shares, sub-index weights are then adjusted by an appropriate price change between year t-1 and the month of December of year t-1.
A three-year average of national accounts (NA) data (2019, 2020, and 2021) was used to obtain subclass expenditure shares when rebasing the national consumer price index to 2020. This average was used for the HICP for the weights in 2023 and 2024. For 2025, weights referring only to the year 2020 are used. Comparing 2024- with 2025-weights there have been following changes:
- 0451 - Electricity (decrease) > Combination of decreasing private consumption (national accounts t-1) and decreasing price development in 2024 (*).
- 07111 - New motor cars (increase)) > Combination of increasing private consumption (national accounts t-1) and increasing price development in 2024 (*).
- 09602 - Package international holidays (decrease) > Mainly due to the methodological changes in calculating the weights.
- 12402 - Retirement homes for elderly persons and residences for disabled persons (increase) > Combination of increasing private consumption (national accounts t-1) and increasing price development in 2024 (*).
- 12703 - Funeral services (increase) > Only increasing private consumption (national accounts t-1) in 2024 (*).
- 04541 - Coal (decrease to 0) > The expenditure share is no longer one part per thousand.
(*) Please note, we had a general revision of national accounts in 2024.
18.1.1.4. Price updating
According to the regulatory framework of the HICP, the weights of the different aggregation levels are updated annually by using private consumption expenditure of the national accounts (NA) reviewed and updated to make them representative of the year t - 1. Then, price-updating to the previous year’s December price level is carried out. This procedure is applied to the weights at the COICOP-10-digit level which is the lowest aggregation level of item weights in the German CPI/HICP.
Regarding the 2025 weights, there was no price-updating between year t - 2 and year t - 1. The expenditure shares were already representative for t - 1. The structures of year t - 1 were converted to the prices of December of the previous year (t - 1 = 2024). For this purpose, the HICP index values for the annual average 2024 and December 2024 (in the deepest available breakdown) were used.
18.1.2. Prices
The main sources of price data are manual price collection which includes on the one hand the decentralized price collection by price collectors in shops all over Germany and on the other hand the central price collection, which takes place mainly as a survey on the internet. The additional use of digital data sources allows the statistical offices to increase the number of monthly price observations significantly. For example, for sectors with particularly complex pricing, such as package holidays or premiums for motor vehicle insurance, additional data sources with a high number of observations are used. In addition, modern survey methods such as Web Scraping are utilised. Web Scraping is an automated extraction of internet data. Using such procedures, the number of monthly price observations for online trade and for selected services - such as rental cars or long-distance coaches - has been extended considerably in the light of dynamic price changes.
18.1.2.1. Prices Data Source - detailed information
The main sources of price data used to compile the HICP are:
- Price collection in the individual survey units or in the internet;
- Web scraping;
- Catalogues, price systems, fee scales, laws and administrative regulations;
- Price quotes from the internet.
- Special databases or data purchased from private providers.
18.1.2.2. Price collection survey
Restricted from publication
18.1.2.3. Administrative data sources
No administrative data sources are used.
18.1.2.4. Transaction data - general information
The price index for package holidays is calculated with transaction data. We receive single bookings on a weekly basis.
Regarding the use of transaction data in the retail (food retailing, drugstores), we currently have scanner data from 20 retailers back until December 2019. We already used the data for HICPI/CPI production by imputing prices during COVID-19 lockdowns. The data is already used in regular price collection for purchasing power parities. The main goal is to implement the use of the data in regular HICP/CPI production for food, beverages and nearfood. Full implementation of scanner data in HICP/CPI production, replacing parts of the traditional price collection is planned for the beginning of 2028 with the next revision of our national CPI. Between 2025 and December 2027 the results of the scanner data collection will be loaded in the production system of the HICP/CPI. This time period will be used to stabilise the production process and the monthly workflows. Also it is planned to estimate the changes in the CPI caused by the new method.
18.1.2.5. Web scraping - general information
In the FSO, web scraping based on a given sample of products is used to extend, supplement or even replace the manual price collection on the internet. Thereby, web scraping imitates the manual price collection on the internet with respect to the number of products but with a higher frequency. This means that the price of a specific product is collected more than once per month. Bulk web scraping in the sense that every price from a specific online shop is recorded, is not executed for price statistics in the FSO. In the German HICP, web scraping is used to collect prices for rental cars, long distances coaches and train journeys and different types of pharmaceuticals.
18.1.3. Sampling
See below.
18.1.3.1. Sampling design - locations for survey
Below the Laender level, the sample is stratified by regions. Therefore, 94 regions are defined where prices are collected for goods and services in the relevant outlet types. All regions are included in the sample. Within the regions, different types of localities are included such as cities, small towns, villages and countryside. Within each of the 94 regions, representative cities and communities are selected generally by purposive sampling.
18.1.3.2. Sampling design - outlets
The outlet sample shall reflect consumer behaviour. For goods, different market shares of the outlet types are taken into account by explicit weighting. All outlet types whose market shares amount to at least 5% (on Laender level) for a certain type of good are covered. For price collection, the German territory is systematically divided in 16 Laender with 94 regions. In every region, outlets (assigned to relevant outlet types) with a high relevance for private consumption are selected. No outlet category is excluded. The following categories of outlets are distinguished: 01 Large store/department store, 02 Consumer market/self-service store, 03 Supermarket, 04 Discounter/retail warehouse, 05 Specialist shop, 06 Other retail, 07 Public or private service provider, 08 Internet trade/mail order.
The importance of an outlet for consumers according to the number of purchases is the main criterion whether an outlet is relevant from the methodological point of view and hence for its selection for price collection.
The outlets are selected by the regional offices. There have been no changes in the past year to the outlet categories included. Market stalls, mail order, internet shopping, petrol stations for other products than petrol are included in the German HICP. Changes in relevance and market shares of outlet types are taken into account every five years when the CPI’s weighting scheme is updated. In the meantime, new outlets can be selected at any time according to market developments. The same applies to outlets with decreasing importance or closed outlets which can be replaced at any time.
Outlet type weights differ to some extent between the Laender in order to reflect differences in market structures on Laender level. For example, the market importance of food discounters varies significantly on Laender level.
For online trade, online shops are selected by the Federal Statistical Office according to their market relevance. The FSO follows the recommendations on the treatment of cross-border internet purchases endorsed by the Directors of Macro-Economic Statistics in December 2016 and covers online outlets which deliver goods to Germany in the sample, according to their market relevance for consumers in Germany. For goods, online outlets are assigned to the outlet type 'internet trade/mail order' which is explicitly weighted according to its market share on the level of products. The market share varies significantly between products and product groups.
For services as insurances or package holidays, the FSO selects shops and collects prices acting for the Laender offices.
18.2. Frequency of data collection
Price data are collected every month. For some parts of 04.3.2 (maintenance and repair of the dwelling), quarterly results of the Construction Price Indices are used. Depending on the product, price collection via web-scraping takes place in different frequencies (ranging from daily to monthly).
18.3. Data collection
The most efficient of the following forms of data collection is used for each of the given product types:
- In the individual survey units, the prices are collected by price collectors from the statistical offices of the Laender.
- As regards retail chains with a uniform pricing structure, in some of these chains central surveys are conducted by specially trained price collectors in one branch of the retail chain concerned.
- Catalogues, price systems, fee scales, laws and administrative regulations are analysed and evaluated.
- Price quotes are collected from the internet.
- Special databases are searched or data are purchased from private providers.
- Data are transmitted by respondents using the IDEV online reporting procedure or survey units are called on the telephone regarding selected products.
Price collectors from the statistical offices collect the prices of a large part of goods and services directly in the survey units. To measure the price development, every month they collect the prices of the same products in the same outlets across the whole country, mostly using mobile data capture devices with integrated plausibility checks.
18.3.1. Timing of price collection
Around the middle of the month, prices are collected over a period of at least one working week. However, the price collection period is longer for products whose prices fluctuate considerably during the month (in accordance with Council Regulation (EC) No 701/2006 relating to collection periods, repealed and replaced by Commission Implementing Regulation (EU) 1148/2020). This applies, for instance, to mineral oil products, fresh fruit and vegetables, and clothing.
18.3.2. Devices for price collection
Tablets and insular smartphones are used for electronic price collection. Statistical Offices which use the 'MEP' ('Mobiles Erfassungsprogramm' - a mobile price collection program) for price collection generally use tablets. Each month, price collectors download the list of products for which prices must be collected. Prices are organised according to the outlets that must be visited. Price collector can access the price history and the product description. Special flags are used to explain price movements. After price collection in the outlet is completed, prices are uploaded and transmitted to the Laender offices database electronically. After checking data and compiling the Laender indices data is transferred electronically to the Federal Statistical Office.
18.4. Data validation
The processing program controls the individual process steps from price collection through the calculation of results and carries out, and documents comprehensibly, (nearly) all calculations. Plausibility checks are built into each stage of processing to prevent data entry errors by issuing warnings if implausible data are entered. Critical data that have been entered by price collectors must be confirmed and/or be specified by specially trained staff of the Statistical Offices.
Additionally, the processing program computes indicators as a basis for further quality checks. Among other things, the most peculiar results must be listed for each product type and be checked by appropriately trained staff of the Statistical Offices after the computation of the Laender results. Furthermore, specially trained staff of the Federal Statistical Office again compares the results of the various Laender. Data that differ considerably will be checked once again.
18.4.1. Data validation - Survey data
There are different procedures to detect data entry errors. On the one hand, plausibility checks are incorporated in the processing program into each stage of processing which leads to warnings in case of implausible data entry. Critical data entry needs additional confirmation or specification. On the other hand, there are additional checks by specially trained staff of the statistical offices after the calculation of the results. This includes, among others, checks of the most peculiar results for each product type and comparison of the results of all Laender. In case of extreme results, they are checked again either by internet enquiry or by consultation with experts or Laender desk officers.
Detected errors are corrected immediately after they are discovered. Then, the indices are recalculated and published.
Besides this, quantity and quality adjustment procedures ensure that 'like is compared with like' when measuring prices, despite changes in the products offered. As a result, price changes can be interpreted as pure price movements.
18.4.2. Data validation - transaction data, web scraping and large administrative data
There are two steps of validation of web scraping data: Firstly, the technical validation, where the amount of gathered items and how many of the items are non-zero (i.e. successful workflows). If there are problems with these measures, the scraping-workflow is adjusted and repeated if possible. Secondly, the comparative validation, where the data is being set into context of their respective price series. Here, outliers and implausible change rates between periods are identified. The second step can also trigger a refinement and/or a repetition of the scraping-workflows.
18.4.3. Data validation - weights
After adjusting the annual weights, test calculations with preliminary indices are executed to detect errors in the new weighting pattern. Price-updating is also verified by ensuring that weight increases or decreases are compatible with the respective price changes.
After the new weights for period t have been created, they are compared to the weights of period t-1. Larger deviations/changes or non-existent expected deviations/changes are then checked again and existing errors are corrected.
18.4.4. Indices
Mathematical plausibility checks are carried out in the production environment (e.g., higher level indices have to equal the weighted sum of lower-level indices when rebased to December). The overall HICP as well as the sub-indices are checked by a comparison of all 16 Laender indices and the overall index for Germany.
To detect outliers, the most extreme price changes are listed for each product. Additionally, the processing program requires a confirmation if an extreme price changes is entered during price collection. Reasons for certain price movements (e.g., government policy change) are also included in the HICP press release.
For those sub-indices that differ from the national CPI in coverage or treatment, the corresponding rates and contributions are analysed, checking the HICP against the CPI.
18.5. Data compilation
For compiling the German new normal HICP backseries, the reallocation of weights and indices using Eurostat’s backseries tool was used for 1996 to 2002. Starting with the compilation of the 2003-indices, Germany reallocated the elementary aggregates.
In January 2026, there was no need for a level-shift adjustment according to Commission Regulation (EU) 2024/1720 of 20 June 2024.
18.5.1. Elementary price index formulae
The German HICP is a Laspeyres type index covering the ECOICOP/HICP.
To avoid problems due to zero prices, elementary aggregates are currenlty calculated solely by using the Dutot formula.
The new data processing programme will facilitate the use of the Dutot-formula as well as the Jevons-formula. In Germany, the lowest level where prices are aggregated to indices is on a very detailed level (a certain product in a certain region for a specific outlet type). This method of price collection results in a certain homogeneity which is crucial for using the Dutot-formula. Where the parameters allow to use the Dutot-formula it will be used (e.g. certain homogeneity, sample is based on consumption quantities, substitution effects are negligible). Where there is a reason for changing to the Jevons-formula it will be used. The Dutot-formula has proven valuable when facing zero prices.
18.5.2. Aggregation of different data sources
An elementary index is computed based on the Dutot formula for each product type (COICOP-10-digit) in an outlet type in a Land. To this end, the ratio is calculated of the average prices between the reference and the base period. The price base of the HICP is always the month of December of the year before the reference year (t–1).
The elementary indices determined in this way are aggregated using the Laspeyres formula. As regards the product types, the processing program calculates from the elementary indices an index at the 10-digit level for a given product type in a Land, using the product-specific outlet-type weights. As a next step, the Laender results for the respective product types are added up using the Laender weights to obtain federal results. To construct the overall HICP, the 10-digit-level indices for the product types weighted by outlet types and Laender are weighted with the relevant expenditure shares of the HICP weighting pattern. First, the product types are aggregated to obtain all indices at the ECOICOP 2- to 5-digit levels. Using the annually updated rough weights at the ECOICOP 2- to 5-digit levels, these sub-indices are then aggregated to obtain the overall HICP.
18.5.3. Chaining, linking and splicing methods
The compilation of the HICP follows the chain linking method, with December of the previous year as the base. Following this process, each index is converted to reference year 2015 = 100.
Splicing is not used for the time series of the German HICP.
18.5.4. Quality adjustments and replacements
Restricted from publication
18.5.4.1. Quality adjustment - detailed information
For non-seasonal products, prices for missing products are estimated using the price development of the corresponding 10-digit COICOP product category for two months at maximum. If the last surveyed price of the missing individual product was a special offer price, this price is first raised to a theoretical price excluding special offers (i.e., ‘normal price’).
If the price of an individual product is missing after more than two consecutive months, it is considered as being permanently unavailable and, thus, replaced by a successor during the month under review. A replacement is proposed by the price collector and checked by the responsible regional statistical office. There are rare exceptions where the proposed replacement product is rejected, and then the replacement is postponed to the next month and the missing price is estimated.
In the German HICP, the following quality adjustment methods are used:
- Direct price comparison: only for replacements by a comparable product; used for clothing and footwear and dwellings.
- Overlap: used for flights, package holidays, telecom services.
- Bridged overlap: replacements within the same elementary aggregate, but different consumption segment; used for flights, package holidays, telecom services.
- Package size adjustment for food and ‘other consumer goods’.
- Option pricing: 50% of the price change is considered as the monetary value of the quality change when not clear if consumer would have paid for the new option; used for new cars.
- Supported judgmental quality adjustment: rents, flights, package holidays, telecom services.
- Hedonics: desktop PCs, printers, hard drives, notebooks, used cars, value-adding investments for dwellings.
Quality-adjusted prices are flagged in the database. However, the quality adjustment method is not recorded. Therefore, Germany cannot provide any numbers on the (relative) usage of each method. Currently, there is also no assessment of the impact of quality adjustments on the subindices and the total index.
18.5.4.2. Replacements - detailed information
At the level of the target sample (observed prices) replacements are undertaken continuously whenever there is a need. Reasons for replacements can either be missing prices or that the replaced product has lost importance on the market. Replacements follow strictly the rules for the HICP as laid down in the HICP regulation framework.
Prices are observed monthly. If the price collector judges that a price is only temporarily unavailable this is flagged in the database and will be re-checked in the coming month. Any price should be replaced at the latest two months after being flagged as missing. There are only few exceptions that are explicitly defined which allow for longer flagging of a price observation being missing, as for example seasonal clothing that is unavailable in its counter-season.
A replacement is proposed by the price collector who surveys its price, its quantity and its characteristics. Well-experienced employees of the responsible Statistical Office evaluate this proposal and decide on the further treatment (direct price comparison or explicit quality adjustment). In very view cases the price collector’s proposal is judged inadequate. In these cases the replacement can be postponed to the next month and the item is treated according to the rules for missing prices due to temporarily unavailable items.
If the replacement product can be judged comparable in the sense of quality its price is directly compared to the price of the replaced product.
If a replacement product is judged to be not comparable to its predecessor its price will be quality-adjusted. The quality adjustment follows strictly set rules.
18.5.5. Administered prices
The process of updating the classification of administered prices is based on different sources. On the hand, law gazettes of the Laender and of the federal government are evaluated. Other useful sources are, among others, news releases of the government and of other public institutions as well as various associations which provide information about goods and services of the HICP. Additionally, there is a database containing the relevant legal regulations for the HICP-AP. This database is systematically reviewed to detect changes in existing regulations.
The classification of administered prices is reviewed and updated on an annual basis. There is no involvement of other parties.
A list of products which are currently classified as fully and mainly administered and their expenditure share per 5-digit ECOICOP is given in the following tables.
| Fully admin 5-digit ECOICOP |
Expenditure share per 5-digit ECOICOP |
|---|---|
| 04411 |
0,00509 |
| 04420 |
0,00417 |
| 04431 |
0,00504 |
| 04449 |
0,0007 |
| 06232 |
0,00526 |
| 06310 |
0,01055 |
| 06320 |
0,0188 |
| 07322 |
0,00227 |
| 09690 |
0,00212699 |
| 10101 |
0,00351416 |
| 10400 |
0,00147994 |
| 10509 |
0,0012338 |
| 13301 |
0,002223 |
| 13909 |
0,01699314 |
| Mainly admin 5-digit ECOICOP |
Expenditure share per 5-digit ECOICOP |
|---|---|
| 06111 |
0,0056 |
| 06211 |
0,0001 |
| 06219 |
0,00583 |
| 06221 |
0,00024 |
| 06229 |
0,00817 |
| 06231 |
0,0059 |
| 06410 |
0,00074 |
| 07350 |
0,00915 |
| 07411 |
0,00098 |
| 09450 |
0,00245 |
| 09620 |
0,00197 |
| 10102 |
0,00064 |
| 10200 |
0,0015 |
| 11121 |
0,00155199 |
| 11203 |
0,00074 |
18.5.6. HICP at constant tax rates
For the calculation of the HICP-CT, tax rates are kept constant in the observations period compared to the reference period. The HICP and the HICP-CT are subject to the same calculation methods and the same quality criteria thereby ensuring their comparability. Comparisons of HICP and HICP-CT allow measuring the effects of tax changes on consumer prices. This procedure assumes that tax changes are fully and instantaneously passed to consumer prices.
Changes in tax rates are reflected in the German HICP-CT following the HICP manual (2024) in the first month for which the new rate is applicable. Rate changes that enter into force on the first day of the month are reflected in the HICP-CT for that month. Rate changes that enter into force later that month are reflected in the HICP-CT for the following month.
In case of a tax change on products that are sold with both the old and new tax tariff simultaneously as for example for tobacco products, the new tax tariff is implemented in the calculation of the HICP-CT in the first entire month for which the new rate is applicable. Since the tobacco products with the old tax tariff are sold first before selling the products with the new tax tariff, the collected prices are subject to the new tax tariff later than its implementation. If tobacco products are available for both tax variants, their prices are collected in parallel. If a tax change occurs during the month, it will be considered in the price collection when taking effect.
18.5.7. HICP flash estimate
The flash estimate for the HICP is calculated by using provisional results of as many Laender as available.
Currently, calculated HICPs on the most detailed level for these Laender for the total HICP are used. As there are no starting figures for Laender-HICPs, the same price reference and weighting periods, namely December=100, are used.
The flash estimate is not published for the CPI and the production of the HICP is closely connected to the CPI. For both indices, the overall index is not published, only the rate of change. Furthermore, we do not publish indices as long as they are preliminary. In addition to quality aspects, as this data is not quality-assured at that time, this roots also in the fact that the index is used in contracts which may not be confused with a flash estimate as these figures may change again.
18.5.8. Other quality and processing issues
Please see information under the next points.
18.5.8.1. Missing prices
It may happen that information is justifiably missing, for instance, because a survey unit is closed for holidays or an observation unit cannot be visited as it only operates on a seasonal basis. Cases of permanent non-response are, for instance, a unit ceases to operate or a product is no longer offered.
Prices for items which are temporarily indeterminate can usually be forwarded by falling back to comparable items’ price development for two months at maximum, or even longer in case of seasonal items or in other duly substantiated cases.
The joint IT system forwards a missing price with the price development of the corresponding COICOP-10 digit item of the relevant regional or federal survey. If there is insufficient data (less than five price series), calculations fall back to COICOP-4 digits. If the last surveyed price of an item was a special offer price, this price is first raised to a “normal” price level and then forwarded as described before. If the item is offered again in the following month, the new price enters the index calculation without any modification.
18.5.8.2. Sales and discounts
All price reductions in the sense of article 6 of Commission Implementing Regulation (EU) 2020/1148 are part of the index calculation. This means that they have to fulfil several requirements: First, the price reduction has to be directly attributable to the purchase of one single item of a specific product and secondly, it can be claimed at the time of purchase. In principle, any price reduction should be taken account for, even those reductions which are applicable only to a subgroup of consumers. In practice, price reductions are only taken account for if it is possible to quantify the share of consumers that apply the special offer. If the price collector judges that the main part of consumers uses a special offer, this offer is taken account of. If a price reduction is linked to special requirements like for example the registration for a loyalty card or, in case of an internet purchase, the subscription to a newsletter, it is usually not taken into account, as it is not possible to quantify the share of consumers applying the discount.
The most common price reductions used in supermarkets are special offers in the form of lower prices as well as an increased quantity by keeping the price constant. These price reductions are accounted for in the HICP according to the standard procedure. Special offers directly enter into the index calculation. Additionally, they are signed as special offers to trigger the respective forwarding calculations. In case of a quantity change, the price will be converted to the former quantity.
18.5.9. Specific product groups
See next points.
18.5.9.1. Seasonal items
Seasonal items are 'available for purchase, or purchased in small or negligible volumes, for certain periods in a typical annual cyclical pattern'. These goods and services can notably be found in the COICOP classes fish, fruits, vegetables, clothing, and footwear.
Generally, if prices of seasonal items are missing due to out-of-seasonality, they are forwarded by the price development of comparable goods which are, primarily, actually offered seasonal variants of the same HICP group. In case of no available comparable seasonal good, the prices of a closely related all-seasonal variant are used for forwarding. This procedure was introduced by Regulation (EC) No. 330/2009 on the treatment of seasonal items in the HICP, repealed and replaced by Commission Implementing Regulation (EU) 1148/2020.
Food products
Seasonal food products suffer from occasionally severe price fluctuations. If such an item could not be surveyed due to out-of-seasonality, an average price for the expired offer period is calculated and used for price-forwarding for the first month. For subsequent months, this price is forwarded by the price development of comparable goods which are, primarily, actually offered seasonal variants of the same HICP group; for example, the prices of prunes are updated with the development of prices of cherries or peaches, nectarines or apricots. Only if there is no comparable seasonal good, a fall back to a closely related all-seasonal variant is allowed.
Other goods and services (for example clothing and shoes)
Towards the end of the season, the seasonal variants of these goods are often offered at reduced prices on clearance sale. If this is the case, the price of a good or service has to be marked by signing it as a special offer. The common signing as preliminarily not available triggers price forwarding: possible special offers are lifted to a 'normal level'. An alternative solution (as, for food products, the use of average price during season period) is not necessary.
It is the aim to survey all private households' consumption expenditures completely. To create no gaps the national survey positions are specified rather loosely, the specifications allow the selection of a wide range of products within the expenditure group. Predefined consumer profiles are (typical) examples and can be adjusted if better information (for regional behaviour, for example) is available. The price collector makes a detailed description including all relevant characteristics to ensure that the same product will be found again in the next month.
The survey positions comprise items that are available throughout the year as well as sub-samples for the winter and summer season, respectively. Prices of the different sub-samples are collected whenever they are available. If the price of an item cannot be
surveyed due to out-of-seasonality, it is forwarded based on the development of the prices which are currently offered.
As regards clothing and footwear, the use of quality adjustment techniques is very limited because of meaningful stratification of the product descriptions. As long as the price collectors are able to find replacements that fulfil comparable consumer needs, quality adjustment for clothing is not applied. It is the aim to replace within the same consumption segment (for example, a blouse for young women, top-fashioned, for spare time (party, club), medium quality, well-known label) and to perform direct price comparison. Quality adjustments due to latest fashion trends are explicitly prohibited. Of course, explicit quality adjustment is possible for quantity changes (for example, if there are five instead of three pairs of socks in a package) or for inducements (for example, if a tie is offered in addition to a dress shirt free of charge).
As end-of-season sales are very common for clothing and footwear, particular emphasis is placed on raising special offer prices back to normal level (prior to a counter-seasonal forwarding, to a possible removal from the sample, or to a replacement across consumption segment borders). This requires a particularly careful coding of special offers which is highly recommended to price collectors and persons in charge during the training.
18.5.10. Classification change
For compiling the German new normal HICP backseries, the reallocation of weights and indices using Eurostat’s backseries tool was used for 1996 to 2002. Starting with the compilation of the 2003-indices, Germany reallocated the elementary aggregates.
18.6. Adjustment
Please see the information under the next point.
18.6.1. Seasonal adjustment
The HICP is not seasonally adjusted.
No comments.
The harmonised index of consumer prices (HICP) is a consumer price index (CPI) that is calculated according to a harmonised approach. It measures the change over time of the prices of consumer goods and services acquired by households (inflation).
Due to the common methodology, the HICPs of the countries and European aggregates can be directly compared.
2 February 2026
The main statistical variables are price indices.
The basic unit of statistical observation are prices for consumer products.
Please see the information under the next points.
Please see the information under the next point.
HICP is a monthly statistics.
As sampling is based on purposive selection, the sampling error cannot be formally calculated or estimated. To keep the unknown sampling error as low as possible, however, more than 300,000 individual prices are collected every month and a highly sophisticated stratification model is applied. Non-sampling errors are not quantified in HICP construction. Activities such as continuously improving the methodology and taking a wide range of quality assurance measures at different levels are however intended to reduce non-sampling errors to a minimum. An accuracy of 0.1 percentage points is sought for the overall HICP, while inaccuracies are larger at finer levels of detail regarding, in particular, the expenditure on products with a small importance for consumption.
The generally high accuracy of the HICP has also been confirmed by the relevant CPI analyses made during regular revisions where, in most cases, noteworthy revision differences have only been the result of methodological improvements. Mostly, changes in the CPI methodology are carried out in a corresponding manner in the HICP, too, though not at the same time. As methodological changes in the HICP are usually not accompanied by back-calculations, the discrepancies caused by changes in the methodology may be larger for the HICP than for the CPI in years of methodological change.
Discrepancies between provisional and final results have been small (a maximum of +/-0.1 percentage points to date).
The following units are used:
- Index point
- Percentage change on the same period of the previous year (rates);
- Percentage change on the previous period (rates);
- Percentage share of the total (weights).
For compiling the German new normal HICP backseries, the reallocation of weights and indices using Eurostat’s backseries tool was used for 1996 to 2002. Starting with the compilation of the 2003-indices, Germany reallocated the elementary aggregates.
In January 2026, there was no need for a level-shift adjustment according to Commission Regulation (EU) 2024/1720 of 20 June 2024.
Please see information under the next points.
Monthly.
The full set of HICPs is published each month according to a pre-announced schedule, usually between 15 and 18 days after the end of the reference month. Each year, the January news release is published at the end of February to allow for the annual update of the weights of individual product groups and the relative country weights of Members States in the country-group aggregates.
The euro area flash estimate is published on the last working day of the reference month or shortly after that.
HICPs across Member States aim to be comparable. Any differences at all levels of detail should only reflect differences in price changes or expenditure patterns.
To this end, concepts and methods have been harmonised by means of legislation. HICPs that deviate from these concepts and methods are deemed comparable if they result in an index that is estimated to differ systematically by less than or equal to 0.1 percentage points on average over one year against the previous year (Article 4 of Council and Parliament Regulation (EU) 2016/792).
HICP comparability over time is ensured. Methodological changes or changes in the consumption and shopping habits are incorporated every year. Due to the fact that data are not recalculated for previous periods, however, the annual adjustments may lead to methodological breaks in the time series of sub-indices, which will limit HICP comparability over time. In individual cases, comparability can be achieved for specific purposes, provided the data required are in place.
In the series of the HICP-AP, there is a break in January 2015 which is due to the introduction of a new methodology of identifying administered prices (AP).
A new sample of rents was introduced from January 2015 to January 2017. This did not lead to a single break in a specific month since the introduction of the improved sample was an ongoing process. However, the implementation of the related weights for the different type of landlords and for the regions below the Laender level could lead to breaks in the series of the HICP. The same phenomenon is currently taking place: The new sample for rents is being introduced from 2025 to 2027.
To maintain comparability over time, the German HICP was revised in January 2019 from 2015 to 2018, due to the introduction of a new methodology for package holidays. Annual inflation rates in the months of 2015 are distorted due to the change in methodology. From January 2016 onwards, the annual inflation rates can be derived from indices compiled according to the same methodology.
With the publication of the final results for reference month October 2025, data errors in Division 12 "Miscellaneous goods and services" were corrected retroactively for the period from January to September 2025. The errors concerned the product types "1262203100 Charge for tax consultant services", "1270200100 Fee for lawyer's or notary's services" and "1240203200 Residential care, statutorily insured persons" and their effects extended as far as the 2-digit level and affected three special groupings.


