ESS Standard for Quality Reports Structure (ESQRS)

Consumer Price Index (CPI)

1 Contact
1.1 Contact organisation Armstat
1.2 Contact organisation unit Price Statistics and International Comparisons Division
1.3 Contact name Mariam Yeritsyan
1.4 Contact person function Head of Division
1.5 Contact mail address Government Building 3, Republic ave.,Yerevan 0010, Republic of Armenia
1.6 Contact email address
1.7 Contact phone number +374 11 564566
1.8 Contact fax number +374 11 521921
2 Statistical presentation
2.1 Data description The Consumer Price Index determines the change in the overall level of prices for goods and services in stable basket over time and determines the ratio of that value to the base period over the reporting period. The recorded prices are transaction prices actually paid by consumers, including all types of taxes, such as the Value Added Tax (VAT), excise tax, etc. The process of selecting the types of goods and services is implemented based on the data on monetary expenditures of the households survey by selecting the goods and services with the highest consumption.
CPI describes the change in the general level of prices and tariffs for goods and services purchased by the population on an annual, quarterly, and monthly basis.
CPI is one of the most important macroeconomic indicators used by state bodies to develop and implement monetary and financial policies, analyze, forecast and contain inflation factors in the economy, to resolve certain legal disputes, etc. CPI is the only indicator characterizing the inflation in the Republic of Armenia. CPI is used at current prices to recalculate macroeconomic indicators at comparable prices.
2.2 Classification system Classification of Individual Consumption by Purpose (COICOP), (Order N 876-N of Minister of Economy dated 19.09.2013, RA GO 01.07.2014, 15/494):
2.3 Sector coverage Consumer Price Index calculations include all types of resident households in the country's economic area , regardless of their income size. The CPI covers the part of goods and services acquired by households.CPI calculations do not include household expenditures abroad, non-resident household expenditures, as well as household expenditures for production needs.
2.4 Statistical concepts and definitions The process of selecting the types of goods and services is implemented based on the data on monetary expenditures of the households survey by selecting the goods and services with the highest consumption. For the purpose of updating the list of goods and services, the observed outlets are regularly examined, expert assessments are given. The published data are: 1) Monthly: - Indices (December of the previous year = 100), to long-term base period -Percentage change compared to the previous month, compared to the corresponding month of the previous year, on an annual basis, average annual, since the beginning of the ascending year -Weights by COICOP groups. 2) Annual: -Annual inflation rates. - Average annual inflation rates.
2.5 Statistical unit Each published index or percentage change refers to the 'final monetary consumption expenditure' of all households in the country.
2.6 Statistical population The main population is the final monetary expenditures of households in the country. The expenditures and purchases made by only RA resident households are Included. CPI excludes: - data on residents' expenditures made outside the country. - expenditures made by non-resident households within the country. - expenditures for entrepreneural purposes or by government bodies. - tax rates and loan payments.
2.7 Reference area The monthly observations of RA consumer goods (services) prices (tariffs) by the defined methodology are carried out in urban areas: Yerevan city and 10 cities of the Republic representing all 10 RA marzes. Price observations are not performed in rural communities or rural settlements.
2.8 Time coverage The consumer price index has been calculated since 1993 onwards on a monthly basis. From 1993 to 2017 COICOP 1999 (two-digit 10 groups) and from 2017 to present COICOP 1999 (two-digit 12 groups).
2.9 Base period •December of the previous year,
•2015 = 100
3 Statistical processing
3.1 Source data Collection of pricing information for initial statistical data can be done through direct observations (using handheld computers) and centralized collection methods. The calculation of the Consumer Price Index is based on data from two main databases:
- Index coefficients reflecting changes in average prices (tariffs) of goods (services) in the current and previous months.
-- Indicators of actual consumer spending for the year preceding the base period, which form the basis of the structure of CPI basket and the weights of the selected goods (services). The information regarding the expenditures of the resident households is included to calculate the weights of CPI of Armenia. The monthly observation of consumer prices (indexes) by the defined methodology is implemented in 10 marzes of the Republic and in Yerevan city for the calculation of consumer prices indexes in the Republic of Armenia.
For registration of prices (tariffs) for each of the 425 items of goods and services (around 8000 representatives of goods and services), 6-12 pre-selected commercial and service companies are observed in each settlement.
The total number of outlets ( supermarkets, food stores, nonfood stores, mixed stores, agricultural food products markets, service provider outlets) selected for consumer prices observations in the Republic of Armenia is 2700. Data are collected 3 times per month and provided by the marz Departements of Armstat to the Price Statistics and International Comparisons Division of Armstat on the 25rd day of the current month, where the data is being checked, summarized and CPI is calculated each month. The price data is mainly collected by price observer through visiting retail outlets, as well as by tablets. Tariffs of some services (which are the same for the whole country) such as telecommunication, electricity, gas, etc. are collected by the relevant unit of Armstat.
About 250,000 price indexes are registered each month for the calculation of CPI. The index weights for elementary aggregate indices are calculated on the basis of expenditure data from integrated households survey. For some items and groups (such as alcohol and tobacco, mobile communication, transportation services, etc.), the households survey data are adjusted using the data from the relevant subject- matter divisions of statistics.
The number of elementary aggragates of goods and services with the lowest level of classification, the prices of which are collected on a monthly basis.
00 Consumer price index, total 425
01 Food and Non-alcoholic beverages 129
02 Alcoholic beverages, tobacco products 13
03 Clothes and footwear 67
04 Housing services, water, electricity, gas and other types of fuels 19
05 Furnishings, household equipment and routine household maintenance 51
06 Health 27
07 Transport 22
08 Communication 14
09 Recreation and culture 32
10 Education 7
11 Restaurants and hotels 5
12 Miscellaneous goods and services 39
3.2 Frequency of data collection The price observation objects are grouped into three conditional groups and the price observations in each group of base objects is carried out once per month (the 1st, 10th and 20th of each month or the nearest days), excluding fresh fruits, vegetables, fuel (gasoline, diesel fuel), whose price collection is carried out at all base objects 3 times per month (on 1st, 10th and 20th and nearest days).
3.3 Data collection The observation of consumer prices and service tariffs in the consumer market is carried out by sample order:
-sample of settlements for observation of goods and services prices and tariffs
-Sample of base trade and services redndering organizations (where observations should be organized)
-goods (services)-representatives sample for observation.
In the Republic of Armenia, the price observation of CPI goods and services is carried out exhaustively in all marzes.
Basic trade organizations, such as supermarkets, grocery stores, non-grocery stores, mixed stores, agricultural markets, as well as organizations rendering services, such as catering establishments, legal-banking organizations, medical institutions, educational institutions, etc., should meet several requirements.These are: relatively large volume of trade turnover and rendered services, availability of a certain level of trade services, stable batch of goods and services in them, long history of stable operation, local distribution (location), etc.The number of base facilities for each goods (service) representative is calculated for the given observation area based on the specific weights of the respective marz trade turnover, the volume of services provided in the total volumes of the relevant indicators of the republic, as well as the population.
The Consumer Price Index basket includes all types of goods and services that are widely consumed by the population and consequently have relatively large share in consumption costs. RA CPI does not include capital property, such as a house, goods and services consumed by enterprises or the government, as well as services provided by casinos. Each year, the composition and structure of the goods and services observed are subject to certain changes for the updating purpose. During their monthly observations, price statisticians follow up on supply and demand for various goods, services in the consumer markets in consultation with the marketing experts of the trade outlets, regularly, on qualterly basis submit proposals on the change of types of goods and services to the relevant unit of the central office of Armstat .
3.4 Data validation Methodological guidelines and instructions for verifying information are available. The methodological requirements to the received indicators are strictly followed during the whole process of receiving them according to the pre-defined classifications, methodological guidelines and the software provided by International Monetary Fund. Data validation is implemented in two stages. In the first stage, price validation takes place at the same time as price registration during field work. Pricie registration is implemented with handheld computers, which also have the appropriate software tool downloaded to avoid incorrect input. In case of non reliable price (if the observed price does not fall within the specified relative price range), the price observer is immediately warned upon entering the price. Price registration and their transmission to the central office is carried out the next day after the deadline set for the three-day pricing schedule. In the second stage, the relevant staff of the central office dealing with price analysis, analyzing the price change trends in all observed cities, may request the observer to conduct a double observation. The central office carries out a number of processes, that are the assessment of missing prices - imputation, accurate inclusion of the prices of the new object in case of change of prices of observed objects, processes of change of the type of product under observation, etc.
3.5 Data compilation Based on the price information recorded for each goods and type of services in the base facilities, the average price of the given goods and services representatives of the appropriate settlement is calculated. The national average price (tariff) of a goods (services) is calculated as the average weighted value of the average prices (tariffs) calculated for the given goods (service) in all observed settlements. The data on the weights of the appropriate marz are used as a weight for the calculation. The price of an elementary goods (services) is formed as an average geometric value from all the price indicators recorded for a particular good or service during the given period. In CPI calculations, the elementary indexes are the average geometric value of the price relative values (index coefficients) of goods and services representatives. As a result of the average arithmetic weighted values of the corresponding weights calculated based on the elementary aggregates or individual price indexes and consumer expenditures, we obtain aggregated price indexes of various groupings of consumer goods and services of COICOP classification for subclasses, classes, segments and total CPI. The indicators of all other necessary groupings by this method of aggregation.
3.6 Adjustment There are a number of potential statistical bias in relation to sources of consumer price index, which can be grouped as follows:
• Assessment of missing prices: In case of temporary missing goods and services (up to 2-3 months), price change in the corresponding goods (services) sub-group is applied.
• Substitution between goods: In the elementary product level, which has corresponding weights in the CPI basket and its weight and price changes are used for aggregation of CPI, the product is not replaced until the next updating of weights- when changing the base period. If the particular product (representative-product), the price of which is aggregated in the price of elementary product together with the prices of all representative products of that particular product, disappears from the consumer market within more than 3 months, it is being replaced by another representative product with the similar technical characteristics.
• Substitution between outlets: CPI is calculated monthly on the basis of price information from the same outlets. In case when the observed outlet ceases to operate, the price collector, after having the agreement from the central office, will select another outlet, with the same trade conditions and price level as the closed outlet for further price observations.
• Adjustments for quality differences: The information about qualitative changes in the goods or services being observed is primarily received by a price monitoring specialist during the price observation. The price monitoring specialist calculates the value of the qualitative change with the help of the outlet staff and relevant specialist. This method of quality adjustment is called expert - logical adjustment. At the same time, other methods of quality adjustment are used for RA CPI calculation:
• direct or simple comparison,
• time matching of the range of goods,
• bridge or match the total average distribution,
• homogeneous model (representative of product) changes installation,
• value of the option (size units) adjustment. CPI quality adjustment methods used in the calculation by the individual products:
• Food products by direct comparison, value of the option and the bridge matching,
• clothing and footwear by direct comparison, bridge matching,
• cars by direct comparison, expert assessment and the bridge matching,
• TVs, washing machines, desktop computers, netbooks, furniture, household electronic equipment by direct comparison, matching, bridge matching. Introducing new goods: New goods are not included in the consumer basket of CPI until the further update of weights. Product that is considered to be permanently missing, that is missing from the consumer market relatively for a long time (2-3 months or more), there was no consumption. consequently its production with former quality characteristics is not foreseen in the future. It’s possible and necessary to change permanently missing product in the current list of consumer goods of the observation, discussing the issue of change necessity with the product specialist of base outlet. As these products (permanently absent) permanently are inaccessible for users and their price observation is impossible, they are replaced by new, similar products, whose generalized technical characteristics are consistent with previously observed product description. In addition, the aforementioned products may also be replaced by another product, if they have lost their productivity or have a substantial share in the consumption structure of the population. The involvement of the selected goods for the price observation may be revised in CPI and replaced with another product in case of loss of the actuality when the volume of consumption (ratio) of the product is continuously decreasing in the total volumes of consumption. Seasonal goods: In the months of absence of seasonal goods in the consumer market, their price and price indices' evaluation method is consistent with the methodology for assessing temporary absent goods. Due to the absence of goods, price data and hence price indexes, the relevant subgroup indices are conditionally applied to them, which are calculated on the basis of average weighted price indices of goods in this subgroup. When the seasonal product is being available, the actual price is recorded, the conditional price is calculated for the month preceding it, by recalculating the last price of the relevant group or subgroup indices that were formed during the product missing months. Evaluation and validation of intermediate data and statistical product. Analysis and calculations are made on a regular basis to assess the standard error or deviation of the information received for CPI. Price data, which are received by the price observators are subject to computer arithmetic and logical checks.
4 Quality management
4.1 Quality assurance Law on Official Statistics, CHAPTER 8. QUALITY OF OFFICIAL STATISTICS, Article 29. Quality Commitment, Article 30. Quality Assessment,
Quality Policy of Armstat that is based on the the European Statistics Code of Practice (approved by the Resolution № 17-A of the State Council on Statistics of RA dated 20 June 2016),
Quality Asurance Framework of the European Statistical System, Version 2.0 (Approved by the Resolution № 23-A of the State Council on Statistics of RA dated 16 July 2020),
Quality declaration for Consumer Prices index (CPI),
Generic Statistical Business Process Model (GSBPM, VERSION 5.0), (Approved by the Resolution № 30-A of the State Council on Statistics of RA dated 21 October 2016), for Consumer price index
Schematic diagram of GSBPM for Consumer price index
4.2 Quality assessment Armstat uses quality assessment procedures, such as user satisfaction survey, self-assessment, global assessment, peer review, etc.
User satisfaction survey questionnaire.
• Armstat has developed a self-assessment questionnaire against the indicators in the ESS Code of Practice, based on the experience of Statistics Denmark․
Republic of Armenia: Report on the Observance of Standards and Codes-Data Module, Response by the Authorities, and Detailed Assessment Using the Data Quality Assessment Framework (DQAF)
Global Assessment of the National System of Official Statistics of the Republic of Armenia
Light Peer Review on the Implementation of the European Statistics Code of Practice in the Republic of Armenia
Peer Review of Armstat and Armenian Official Statistics The reliability of the CPI in terms of accuracy and credibility is generally equivalent to international standards
• IMF missions reports: Since 2020, according to the methodological recommendations of the IMF experts (2018-2019), for the first time, the index for imputed rentals of owner-occupiers housing was calculated for the Republic of Armenia, which was published on a quarterly basis, along with a brief methodological description of the index calculation, in the monthly bulletin of the Consumer Price Index (CPI). Some amendments were made to the CPI methodology in connection with the revision of the base year for price indexes and weights. In particular, instead of the earlier used method of updating them in 3-5 years’ time, now they are revised every year and are based on the indicators of monetary expenditures of the Integrated Living Conditions Survey of Households for the year preceding the base year. Changes were also made to the methodology for calculating imputed prices for seasonal CPI goods for a group of non-food products, applying the “typical” price method recommended by the IMF and used by the EU countries in their CPI calculations. The Armenian method used for food products with strongly expressed seasonality has been evaluated by IMF as one of the best international methods, which can be suggested for use in countries having similar seasonality.
5 Relevance
5.1 User needs The main users of statistical information are public administration and local self-government bodies, public, scientific-educational, financial organizations, business community, mass media, international organizations, etc. CPI is one of the most important macroeconomic indicators used by government authorities to develop and implement monetary and financial policy, to analyze, forecast and contain inflationary factors in the economy, to resolve certain legal disputes, and so on. CPI is the only indicator characterizing inflation in the Republic of Armenia. CPI is used to recalculate macroeconomic indicators at current prices at comparable prices, ie as a deflator to recalculate national accounts at constant prices. The internal users are: the Central Bank of RA,Ministry of Finance of RA, Ministry of Economy of RA, higher education institutions, research institutions, media and public in general, as well as Macroeconomic indicators and National Accounts Division and subject- matter units of Armstat.
5.2 User satisfaction Users needs are studied through discussions, consultations, comments on draft statistical programs, and through the 'User Satisfaction Survey' questionnaire available on Armstat website. User's Survey Frequently Asked Questions. The annual statistical program of Armstat is developed based on the study of the demand of statistical information users.
5.3 Completeness After the calculation of the Consumer Price Index, each month it is presented in the information materials by the following breakdown:
1. Percentage of monthly change from 2 to 5 digit level of COICOP (by months) compared to the same month of the previous year.
2. Percentage of monthly change from 2 to 5 digit level of COICOP (by months) by Republic and observed settlements compared to the previous month.
3. Indexes by level of 2 to 5 digit of COICOP by republic and observed settlements (by months) base period to December of the previous year.
4. Percentage changes by level 2 to 5 digit of COICOP by Republic (by months) per year calculated from the beginning compared to the same period of the previous year (in ascending order).
5. COICOP 2-digit level indices by Republic (by months) to conditionally adopted base year.
5.3.1 Data completeness - rate Not applicable.
6 Accuracy and reliability
6.1 Overall accuracy The accuracy of CPI could be assessed as high. The accuracy of the data source is monitored by methodological approaches and internationally accepted standards for the selection of sources for prices and weights. Pricie data collection assures sufficient coverage and the application of collection's accurate schedule. The basic trade and services rendering organizations , where the price observation is carried out, are selected to represent the consumer market of RA. All types of households in the economic area of ​​ RA are included to calculate data on monetary expenditures for weights. The survey is carried out on a rotational basis. In the last years, there were no revisions of the released data.
6.2 Sampling error CPI sampling error is not calculated because the non-probability sampling method is not used. Sampling errors are reduced by collecting a rather large amount of pricing information and using them in calculations. Moreover, in order to minimize the deviations of the changes of all the basic objects, a large number of representative goods' price data collection is provided for each product. The compilation and production of CPI is based on consumer price and household expenditures data, which are not a complete population of all prices / expenditures. The application of target sampling makes difficult the calculation of sampling error. Therefore, due to the structural complexity of price indices, sampling error is not calculated by Armstat. However, Armstat aims to implement such processes that will reduce the size of sample error by collecting the maximum amount of pricing information, which is possible to implement with Armstat's limited resources. Armstat defines the distribution of resources used for price collection according to the size of the relevant economic indicators and quantities of trade outlets of the marzes.
6.2.1 Sampling errors - indicators There are no numerical estimates for CPI sampling errors as they are difficult to quantitatively evaluated due to the complex structure of the price index and the non-probability sampling method used. CPI non-random errors are not quantitatively evaluated. They have been significantly reduced in recent years by upgrading the entire IT environment on consumer prices. The new IT architecture is based on: a centralized common warehouse that stores all the survey data. as well as a new data collection software, running on PC Tablets.a new control and correction software which allows to perform checks on micro data directly in the database and makes available several sets of indicators to monitor data quality.
6.3 Non-sampling error Due to the wider application of the information technologies, using handheld computers for price observations, where relevant control and error detection softwares are downloaded, the input errors are minimalized. Armstat tries to optimize the distribution of resources by defining the number of selected trade outlets in the marzes.
6.3.1 Coverage error The error of the geographical sampling was minimized by including all marz centers of RA in the field of price observation. Over-coverage - rate Not applicable. Common units - proportion Not applicable.
6.3.2 Measurement error The Consumer Price's Information System is used to enter data on product offer price and specifications. Some technical control is performed to avoid typos, incorrect entry of price or unit of measurement. However, additional data quality checks and validation work is carried out at the marz statistical offices and at the central office.
6.3.3 Non response error Not applicable. Unit non-response - rate Not applicable. Item non-response - rate Not applicable.
6.3.4 Processing error An IT system is developed and performs indices calculations. Logical controls are implemented in the software to minimise/eliminate the processing errors. Imputation - rate Not applicable.
6.3.5 Model assumption error Not applicable.
6.4 Seasonal adjustment Not applicable.
6.5 Data revision - policy CPI recalculation period and processes are approved by RA CPI methodology
6.6 Data revision - practice CPI is recalculated and the published indicators are edited only during the change of weights, as a rule, with the calculation of CPI in February of each year, CPIs for January are recalculated according to the new weights and are published in March. Published CPI data may be reviewed because of actual errors detected, new or improved information, in case of changes to the International Harmonized Rules system.
6.6.1 Data revision - average size CPI revision can be performed in case of technical errors (incorrect input, unforeseen software problems in calculations, etc.). The recalculated indexes are published with the appropriate note. Other major reviews are reported in the press release with explanatory notes and brief methodological clarifications.
7 Timeliness and punctuality
7.1 Timeliness The Consumer Price Index in the Republic of Armenia is published on the 8th working day of the next month.
7.1.1 Time lag - first results On the 3rd working day of the month following the reporting month.
7.1.2 Time lag - final results On the 8rd working day of the month following the the reporting month.
7.2 Punctuality Data are always delivered and published on the pre-announced release dates. Information on the prices for CPI calculation for the reporting month is provided to the cental office of Armstat in the period from 23 to 25. The first publication takes place on the 3rd working day of the following month.
7.2.1 Punctuality - delivery and publication Not applicable.
8 Coherence and comparability
8.1 Comparability - geographical Price observations for CPI calculation are carried out in the large representative trade and service rendering organizations of 10 marz centers of RA and capital Yerevan. Based on the collected data, 11 separate CPIs are calculated for all marzes and the capital. CPIs of the republic are calculated through their weighted average indicators according to the approaches of internationally accepted methodologies.
8.1.1 Asymmetry for mirror flows statistics - coefficient Not applicable.
8.2 Comparability - over time Indices of consumer prices are fully comparable over time. Aggregated historical time series are available since January 1993 onwards. According to the 12 groups of the COICOP , the recalculations were implemented until January 2010 inclusive. Historical series of foodstuffs, non-foodstuffs and service groups are available since January 1993. The index calculated by new weights is correlated with historical series.
8.2.1 Length of comparable time series CPIs are presented as time series since January 1993.
8.3 Coherence - cross domain Only one consumer price index is calculated in the Republic of Armenia. CPI is an official indicator of inflation in Republic of Armenia. It provides information on the price changes in the country to the Government, business, citizens and the public as a whole. CPI is used for economic analysis, as a financial instrument, and also as a tool for indexation of different incomes, claims, liabilities, contract payments, etc.
8.4 Coherence - sub annual and annual statistics CPIs calculated on an annual basis are obtained from the respective monthly indices and are fully reconcilable.
8.5 Coherence- National Accounts Statistics are reconcilable with national accounts' requirements.
8.6 Coherence - internal CPI is internally coherent. Higher level aggregations indices are derived from the weighted values of the indices of the corresponding lower level elementary components.
9 Accessibility and clarity
9.1 News release •Press release 'Consumer Price Index in the Republic of Armenia', on the 3rd working day of each month, available in Armenian, in summarized form tables in English and Russian,
•Statistical Bulletin 'Consumer Price Index in the Republic of Armenia', on the 8th working day of each month, (Armenian and English),
9.2 Publications Statistical Yearbook of Armenia (Armenian, English,Russian)
The Armenia’s Marzes and Yerevan in Figures, Annual Statistical Handbook ( Armenian, English)
Armenia in Figures, Annual Statistical Handbook (Armenian, English)
The Prices and Price Indices in the Republic of Armenia, Annual Statistical Handbook (Armenian, English)
Current-operative preliminary main macro-economic indicators characterizing the socio-economic situation of RA, Monthly Bulletin (Armenian, English)
The Socioeconomic Situation of the Republic of Armenia, Monthly Information Report (Armenian, Russian)
The Consumer Price Index in the Republic of Armenia, Monthly Statistical Bulletin i(Armenian, English)
Food Security and Poverty, Quarterly Statistical Bulletin(Armenian, English) Electronic publications are available at
9.3 On-line database Monthly and historical CPI indicators are available at .
9.3.1 Data tables - consultations Not applicable.
9.4 Micro-data access Law on Official Statistics, Chapter 7. Statistical Confidentiality, Article 26. Access to Confidential Data for Research Purposes, For research purposes, based on the application submitted by the researchers to Armstat and by the decision of the State Council, data containing statistical confidentiality may, in exceptional cases, be provided or published by Armstat in the anonymous form, not allowing direct or indirect disclosure of individual data. The data is used exclusively for research purposes, cannot be transmitted to other persons, cannot be published in the any anonymous form at the individual level and cannot be compared with the individual data obtained from other sources, all sources of instructional materials are mentioned, and those anonymous data are destroyed after the surveys. The provision of non-disclosure or other non-dissemination of information does not apply in case, when they, in accordance with the legislation of the Republic of Armenia, are the information reflecting natural or other monopoly activity, non-disclosure (non-dissemination) of which will have a major impact on maintaining the principles of statistical information completeness.
9.5 Other Information service on request is also provided according to the Information Dissemination and Communication Policy of Armstat.
9.6 Documentation on methodology The methodology of calculating the consumer price index has been developed in cooperation with the International Monetary Fund. Based on the requirements of the manual on Consumer Price Index Handbook: Overview and Implementation, 2004 (ILO / IMF/OECD/UNECE Eurostat/ WB, progress made in current CPI methodologies of advanced countries in the field of price statistics, as well as recommendations and advices of international experts on price statistics within the framework of the EU Twinning Program, Quality declaration for Consumer Prices index(CPI), GSBPM for Consumer Prices index (CPI).
The following methodological manuals have been developed for the calculation of RA CPI:
• Order on the observation of consumer goods prices and services tariffs for the calculation of consumer price index (Armenian)
• Methodological instructions on the observation of consumer goods prices and services tariffs and calculation of consumer price index (Armenian)).
9.7 Quality documentation
9.7.1 Metadata completeness – rate Not applicable.
9.7.2 Metadata - consultations Not applicable.
10 Cost and burden Not applicable.
11 Confidentiality
11.1 Confidentiality - policy Law on Official Statistics, Chapter 7. Statistical Confidentiality,
• Law on Official Statistics, CHAPTER 1. GENERAL PROVISIONS, Article 4. Main Definitions Used in the Law, Item 6), 'Individual data: any information characterizing the statistical unit that allows or can allow to directly or indirectly identify it'
• Law on Official Statistics, CHAPTER 2. FUNDAMENTAL PRINCIPLES OF OFFICIAL STATISTICS, Article 6. Fundamental Principles of Official Statistics, Item 6), 'Statistical confidentiality and exclusive use for statistical purposes: individual data collected or obtained by Producers of Official Statistics that refer to natural or legal persons are to be strictly confidential and used exclusively for statistical purposes'
11.2 Confidentiality - data treatment Law on Official Statistics, Chapter 7. Statistical Confidentiality,
• Law on Official Statistics, CHAPTER 1. GENERAL PROVISIONS, Article 4. Main Definitions Used in the Law, Item 6), 'Individual data: any information characterizing the statistical unit that allows or can allow to directly or indirectly identify it'
• Law on Official Statistics, CHAPTER 2. FUNDAMENTAL PRINCIPLES OF OFFICIAL STATISTICS, Article 6. Fundamental Principles of Official Statistics, Item 6), 'Statistical confidentiality and exclusive use for statistical purposes: individual data collected or obtained by Producers of Official Statistics that refer to natural or legal persons are to be strictly confidential and used exclusively for statistical purposes'
12 Comment

Download in SDMX 2.1 file format: SDMX-ESQRS-Consumer Price Index (CPI)
Metadata Structure Definition in SDMX 2.1: SDMX-ESQRS-MSD