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For any question on data and metadata, please contact: Eurostat user support |
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1.1. Contact organisation | Ministero della transizione ecologica (Ministry of Ecological Transition) |
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1.2. Contact organisation unit | Dipartimento Energia (Energy Department) |
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1.5. Contact mail address | Via Molise, 2 - 00187 Rome |
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2.1. Metadata last certified | 28/07/2022 | ||
2.2. Metadata last posted | 15/06/2022 | ||
2.3. Metadata last update | 15/06/2022 |
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3.1. Data description | |||
European statistics on natural gas prices for household and final non-household customers. |
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3.2. Classification system | |||
Internal Eurostat classification system based on annual natural gas consumption bands and tax levels. |
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3.3. Coverage - sector | |||
Household sector and final non-household sector (industry, services, offices, agriculture, etc). |
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3.4. Statistical concepts and definitions | |||
The prices are collected in national currencies per GJ and according to different bands of consumption. For the households sector, these bands are:
For the final non-households sector, the bands are:
1- Semestrial prices: These prices are reported twice a year and are divided in 3 levels:
2- Annual prices: These prices are reported once a year together with the data for the second semester and are divided into the following components and taxes:
In addition to these elements, the network cost is split into the respective shares of transmission and distribution. The relative share of consumption in the different consumption bands is reported by the countries and used to calculate the single national natural gas prices (weighted averages for consumer bands IA-IF and DA-DE).
Italy was granted a derogation by the Commission Implementing Decision (EU) 2018/1734 of 14 November 2018 from producing statistical data for reference years 2017 and 2018 for:
Therefore, Italy did not submit the sub-components on network prices and the sub-components on taxes, fees, levies and charges for 2017 and 2018.
Natural gas bills include excise duties, regional surcharges, VAT and general levies. The general levies are components of the transmission/distribution charges, and their rates are defined by the ARERA (National Regulatory Authority). Except for VAT, which is recoverable for non-household customers, all the other levies are not recoverable. TAX COMPONENTS FOR HOUSEHOLD USERS
EXCISE DUTY:
REGIONAL SURCHARGE:
VAT:
FOR NON-HOUSEHOLD USERS
EXCISE DUTY:
REGIONAL SURCHARGE:
VAT:
Starting from October 2021, the Italian Government has implemented extraordinary and temporary measures to contain the exceptional increases in energy prices with the allocation of resources from the State Budget. It was, therefore, possible to set to zero the RE, the GS and the UG3 elements and to reduce the VAT rate at 5%. The components have been set to zero for the fourth quarter of 2021 and for the first three quarters of 2022. |
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3.5. Statistical unit | |||
Household and final non-household consumers divided into consumption bands. |
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3.6. Statistical population | |||
Household customers: Data coming from 431 suppliers’ answers (of which 6 without clients) out of 544 and representing 99% of the household customers consumption. Final non-household customers: Data coming from 431 suppliers’ answers (of which 7 without clients) out of 544 and representing 85% of the final non-household customers consumption. |
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3.7. Reference area | |||
Whole country |
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3.8. Coverage - Time | |||
Natural gas prices data for Italy are available since 2007. |
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3.9. Base period | |||
Not applicable. |
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Prices are reported in national currency per GJ. However, Eurostat also calculates and publishes the prices in EURO and PPS (purchasing power parity) and do the conversion to kWh. Relative shares of sub-component of the network component and consumption volumes are reported in percentages. |
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For semestrial prices, the reference periods are from January to June for semester 1 and from July to December for semester 2. For annual prices, the reference period is the whole calendar year (from January to December). |
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6.1. Institutional Mandate - legal acts and other agreements | |||
At EU level:
At national level:
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6.2. Institutional Mandate - data sharing | |||
At EU level:
At national level:
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7.1. Confidentiality - policy | |||
At EU level:
At national level:
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7.2. Confidentiality - data treatment | |||
Published do not allow the identification of single consumers. Data are not yet published but only sent to Eurostat and IEA in aggregate form. |
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8.1. Release calendar | |||
No release calendar is published. |
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8.2. Release calendar access | |||
There is no calendar. |
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8.3. Release policy - user access | |||
Not applicable. |
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Italian natural gas prices are published on a semestrial basis on Eurostat's website. Italian natural gas prices are published on a semestrial basis on IEA's price statistics. |
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10.1. Dissemination format - News release | |||
No national press release related to the data. |
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10.2. Dissemination format - Publications | |||
No publication related to the data. |
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10.3. Dissemination format - online database | |||
No national database related to the data. |
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10.3.1. Data tables - consultations | |||
Not applicable. |
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10.4. Dissemination format - microdata access | |||
Dataset is not accessible as micro-data. |
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10.5. Dissemination format - other | |||
No other ways of dissemination. |
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10.5.1. Metadata - consultations | |||
Not applicable. |
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10.6. Documentation on methodology | |||
A handbook with instructions to fill in web questionnaires for submitting data is provided to suppliers. The handbook is available here: https://www.arera.it/allegati/operatori/raccolte_dati/manuali/2021/PrezziMediGAS21.pdf |
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10.6.1. Metadata completeness - rate | |||
100% |
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10.7. Quality management - documentation | |||
No document related to quality exists. |
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11.1. Quality assurance | |||
Compliance of suppliers in submitting data is monitored. The quality of the data is ensured by the dissemination of an instruction manual for completing the questionnaires as well as the availability of a dedicated helpdesk service which helps the suppliers in compiling the data and an accurate process of data validation. |
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11.2. Quality management - assessment | |||
The quality of the statistical outputs is guaranteed by the high number of respondents to the survey. Possible quality deficiencies can come from: the poor accuracy of the billing databases from which the suppliers draw the data; by invoicing adjustments including invoicing adjustments from delayed meter readings. |
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12.1. Relevance - User Needs | |||
The only user of the data is Eurostat and the needs are fulfilled except for the data points for which Italy is derogated. |
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12.2. Relevance - User Satisfaction | |||
There isn't any method in place for measuring the satisfaction of users. |
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12.3. Completeness | |||
100% |
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12.3.1. Data completeness - rate | |||
100% |
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13.1. Accuracy - overall | |||
Potential errors: The error in the estimate of average prices is low as the companies that do not usually respond in each edition of the data collection are those of very small size. |
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13.2. Sampling error | |||
Given the high percentage of the population represented the sampling error is considered negligible. |
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13.2.1. Sampling error - indicators | |||
No precisions measures of the sampling error are available. |
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13.3. Non-sampling error | |||
Information is included in the sub-concepts S.13.3.1-S.13.3.5. |
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13.3.1. Coverage error | |||
Given the high percentage of the population represented, all different kinds of households (single persons, couples, families, etc.) and non-households (different services, big, small, etc.) are well represented in the sample. |
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13.3.1.1. Over-coverage - rate | |||
No over-coverage data reported belong to the target population. |
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13.3.1.2. Common units - proportion | |||
100% of the data come from the survey. |
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13.3.2. Measurement error | |||
No estimates of the measurement error are available. |
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13.3.3. Non response error | |||
See points below. |
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13.3.3.1. Unit non-response - rate | |||
There is a number of suppliers that do not answer the survey although they are asked for. It is impossible to know the exact number of companies that have to submit data in the survey for household customers or for industrial customers, because it is not known in advance what kind of customers they sell. The sellers who must participate in the survey, in fact, are those who in the ARERA's companies registry has declared to carry out the activity of selling to final customers. In the registry, however, it is not required to indicate whether the sale is aimed at household or industrial customers. |
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13.3.3.2. Item non-response - rate | |||
0%. |
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13.3.4. Processing error | |||
The processing error is unlike since the survey is fully automated. The survey is web-based: to send data, suppliers must complete online questionnaires and/or upload XML files. The data delivered is stored in databases through well-established routines. |
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13.3.5. Model assumption error | |||
Not Applicable. |
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14.1. Timeliness | |||
Natural gas providers that participate in the national data collection are requested to provide the natural gas price data within 45 days after the reference period. After arrival, the statistical office checks the micro-data for correctness, consistency and completeness and national averages are calculated and reported to Eurostat during the third month after the reference period. Some suppliers do not respect 45 days deadline or do not submit data at all. Starting from the survey on prices for the first semester of 2022, to increase punctuality and the rate of response, ARERA has adopted a new resolution that gives a penalty to suppliers that do not submit data. |
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14.1.1. Time lag - first result | |||
The first version of the natural gas price questionnaire for households for the 1st semester of 2019 was sent 93 days after the reference period. The first version of the natural gas price questionnaire for households for the 2nd semester of 2019 was sent 93 days after the reference period. The first version of the natural gas price questionnaire for households for the 1st semester of 2020 was sent 98 days after the reference period. The first version of the natural gas price questionnaire for households for the 2nd semester of 2020 was sent 92 days after the reference period. The first version of the natural gas price questionnaire for households for the 1st semester of 2021 was sent 90 days after the reference period. The first version of the natural gas price questionnaire for households for the 2nd semester of 2021 was sent 90 days after the reference period. The first version of the natural gas price questionnaire for non-households for the 1st semester of 2019 was sent 93 days after the reference period. The first version of the natural gas price questionnaire for non-households for the 2nd semester of 2019 was sent 93 days after the reference period. The first version of the natural gas price questionnaire for non-households for the 1st semester of 2020 was sent 98 days after the reference period. The first version of the natural gas price questionnaire for non-households for the 2nd semester of 2020 was sent 92 days after the reference period. The first version of the natural gas price questionnaire for non-households for the 1st semester of 2021 was sent 90 days after the reference period. The first version of the natural gas price questionnaire for non-households for the 2nd semester of 2021 was sent 90 days after the reference period. |
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14.1.2. Time lag - final result | |||
Not applicable. |
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14.2. Punctuality | |||
The legal deadline for submitting the questionnaires is the third month after the reference period. |
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14.2.1. Punctuality - delivery and publication | |||
See point 14.1.1 |
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15.1. Comparability - geographical | |||
No problem of comparability between country or regions. |
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15.1.1. Asymmetry for mirror flow statistics - coefficient | |||
Not applicable |
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15.2. Comparability - over time | |||
There have been some changes but not enough to warrant the designation of a break in series. |
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15.2.1. Length of comparable time series | |||
28 semesters. |
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15.3. Coherence - cross domain | |||
Not applicable |
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15.3.1. Coherence - sub annual and annual statistics | |||
Not applicable |
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15.3.2. Coherence - National Accounts | |||
Not applicable |
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15.4. Coherence - internal | |||
Annual prices are coherent with the semestrial prices. |
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The cost or burden for the production of statistical data on respondents is not measured. However, the answer of suppliers is facilitated by an online questionnaire in the form of successive tables of figures to be completed or by the submission of an XML file. The accuracy of the figures requested requires the implementation of queries on billing databases, the support of IT departments, back offices. |
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Semester n data are checked immediately after the delivery of the data. |
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17.1. Data revision - policy | |||
Revisions are requested to the suppliers immediately after the delivery of the data, when data are inconsistent with those previously submitted or when the values are very distant from the average values. |
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17.2. Data revision - practice | |||
Revisions are requested to the suppliers immediately after the delivery of the data, when data are inconsistent with those previously submitted or when the values are very distant from the average values. |
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17.2.1. Data revision - average size | |||
Households gas prices collection (PRGAH): 0 Non-households gas prices collection (PRGAI): 0 |
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18.1. Source data | |||
A specific survey is carried out by ARERA. Prices submitted come from suppliers’ billing databases. |
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18.2. Frequency of data collection | |||
Quarterly |
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18.3. Data collection | |||
On-line survey. Suppliers must fill in web-based questionnaires. Alternatively, suppliers can upload data via XML files Price data are requested by:
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18.4. Data validation | |||
Input data is validated for consistency and completeness. In case of inconsistent price data, the data providers are contacted to request a reconfirmation of the data. Validation activities also include: checking that the population coverage and response rates are as required; comparing the statistics with previous cycles; confronting the statistics against other relevant data (internal); investigating inconsistencies in the statistics; verifying the statistics against expectations and domain intelligence, outlier detection. |
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18.5. Data compilation | |||
Average price = Sum of gas sale revenues (€) / Sum of gas sale energy (giga joule) (relating all firms participating in the survey) National prices are weighted by sold volumes (for each band individually). |
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18.5.1. Imputation - rate | |||
0% |
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18.6. Adjustment | |||
Not applicable. |
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18.6.1. Seasonal adjustment | |||
Seasonable adjustments are not carried out. |
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