Methodology and Quality Update

Latest Update on Methodology and Quality

2025 / 12 / 21

Statistical Presentation

Data description

The Energy Efficiency Statistics publication is an annual publication aimed at providing beneficiaries and decision-makers with updated data on energy efficiency in the Kingdom of Saudi Arabia.  The publication includes detailed indicators on energy-efficiency performance, electricity consumption rates by consumption sector, Average per capita energy consumption, and electricity conservation.  These indicators are presented in the form of statistical tables and analytical reports.
The Energy Efficiency Statistics include the following main characteristics:
•    Energy efficiency performance 
•    Electricity consumption rate
•    Average per capita energy consumption
•    Energy consumption rationalization

Classifications

The following classifications are applied in Energy Efficiency Statistics:
Standard International Energy Product Classification (SIEC):
It is a statistical classification endorsed by the United Nations for the standardized organization and classification of energy products, ensuring the consistency of energy statistics and their international comparability. It covers all products related to the production, transformation, and consumption of energy.
Standard International Energy Product Classification (SIEC):

Statistical concepts and definitions

Terms and concepts of Energy Efficiency Statistics:
•    Energy Efficiency:
Energy efficiency is defined as using less energy while maintaining the same performance. It represents the amount of energy required to produce or operate an energy component to deliver a certain level of service with reduced energy inputs.
•    Energy Efficiency Statistics:
A set of data and information related to the effective and sustainable use of energy.  These statistics aim to measure and analyze energy performance across various sectors, helping to achieve sustainability goals and reduce energy losses.
•    Energy Consumption Intensity:
The amount of primary energy consumed to produce one unit of GDP, measured in barrels of oil equivalent per million SAR of GDP.
•    Primary Energy Savings:
It represents the direct savings resulting from energy-efficiency improvement initiatives.
•    Volume of carbon emissions reduced as a result of implementing energy efficiency initiatives:
This refers to the amount of carbon dioxide emissions that have been decreased due to the implementation of energy efficiency initiatives compared to the emission levels prior to their implementation.
•    Electricity Consumption Rate in the Building Sector:
Amount of Energy Consumption in the Building Sector, which includes the residential, governmental, and commercial sectors, measured in megawatt-hours (MWh).
•    Electricity Consumption Rate in the Residential Sector:
It is the rate of energy consumption in the residential sector, measured in megawatt-hours (MWh).
•    Electricity Consumption Rate in the Commercial Sector:
It is the rate of energy consumption in the commercial sector, measured in megawatt-hours (MWh).
•    Electricity Consumption Rate in the Government Sector:
It is the rate of energy consumption in the government sector, measured in megawatt-hours (MWh).
•    Electricity Consumption Rate in the Industrial Sector:
It is the rate of energy consumption in the Industrial sector, measured in megawatt-hours (MWh).
•    Electricity Consumption Rate in other Sectors:
it is the rate of energy consumption in other sectors, which include the agricultural, health, educational, and water desalination sectors. It is measured in megawatt-hours (MWh).
•    Average per capita consumption of total electricity consumed:
This is the amount of electricity consumed by each individual in the population as part of the total electricity consumption. It is measured in kilowatt-hours per person (kWh/person).
•    Average per capita consumption of liquefied petroleum gases (LPG):
This is the amount of liquefied petroleum gases consumed by each individual in the population as part of the total LPG consumption. It is measured in liters per person (L/person).
•    Average per capita consumption of gasoline:
This is the amount of gasoline consumed by each individual in the population as part of the total gasoline consumption. It is measured in liters per person (L/person).
•    Average per capita electricity consumption by residential consumption category:
This is the amount of electricity consumed per individual in the population within a specific residential consumption category over a defined period. It is measured in kilowatt-hours per person (kWh/person).

Data sources

The data in the Energy Efficiency Statistics publication are based on two main sources:
First source: Register-based data from the following government entities:
•    Ministry of Energy ecosystem:
Energy efficiency statistics are collected from administrative data maintained by the Ministry of Energy ecosystem. These data are quantitative in nature, as they include numerical values related to energy-efficiency indicators.
Second source: Surveys and statistical publications issued by the General Authority for Statistics:

•    Electrical Energy Statistics publication 
•    Oil and Gas Statistics publication
•    Household energy statistics publication

Data from GASTAT products are used to support the calculation of energy efficiency indicators by integrating them with the administrative data from the Ministry of Energy. This allows for the computation of several key indicators, including:

•    Average per capita consumption of total electricity consumed.
•    Average per capita consumption of liquefied petroleum gases (LPG).
•    Average per capita consumption of gasoline.
•    Average per capita electricity consumption by residential consumption sector. 
•    Percentage of dwellings with thermal insulation across the Kingdom.
•    Percentage of households interested in conserving electricity consumption in the dwelling at the Kingdom Level.
•    Percentage of households applying energy consumption conserving instructions in the use of electrical appliances at the Kingdom level.

Designing the data collection tool

The administrative data are collected using standardized data request tables sent to the data-owning entities. The aim is to obtain periodic, coordinated, and verified data derived from administrative records related to energy-efficiency indicators, ensuring data quality and achieving integration between the various data sources.

Questionnaire test (cognitive test)

Not applicable, as the product is registry-based and relies on registry data available from the relevant authorities.

Statistical population

The statistical population for energy efficiency statistics represents a vital tool for understanding energy consumption in the Kingdom of Saudi Arabia. These statistics rely on reliable data from several key entities, such as the Ministry of Energy, which provides comprehensive reports on policies and initiatives related to energy efficiency, and the Saudi Energy Efficiency Center, which supplies information on energy-efficiency performance across various sectors.  The Saudi Electricity Regulatory Authority also contributes by providing accurate statistics on electricity consumption across multiple categories, while GASTAT offers population and economic data that support the estimation of consumption rates. 
This statistical population is based on close collaboration between the Ministry of Energy ecosystem and GASTAT, ensuring effective information exchange and regular updating of the data.

Sample Design

Not applicable, as the product is registry-based and relies on administrative data available from the relevant entities, in addition to statistical data from the General Authority for Statistics.

Statistical unit (sampling unit)

The entity responsible for producing energy-efficiency data or indicators refers to departments, centers, or programs within the Ministry of Energy ecosystem or other relevant entities.  Data are collected directly from these entities without modifying their definitions or characteristics, ensuring comprehensive coverage and accurate representation of the target statistical population.

Data collection

Data collection from administrative records:
In coordination with the relevant departments of GASTAT's Data Collection department, administrative data for the Energy Efficiency Statistics publication are obtained from the Ministry of Energy. These data include energy intensity, energy savings, and energy consumption rates across several sectors, including the building sector, residential sector, and commercial sector.   
These data are stored in the GASTAT databases after verification and review processes in accordance with approved statistical methods and recognized quality standards, with reference to the data source in case errors are detected or comments on the data arise.

Data collection frequency 

Data collection process for energy efficiency statistics is carried out on an annual basis.

Reference area

Energy Efficiency Statistics Publication covers data across Saudi Arabia.

Reference period (time reference)

 References period to the variables or dataset as following:
Energy Efficiency Statistics data are referenced to the last day of the Gregorian year, in accordance with the reference period adopted for the administrative data sources received from the relevant entities.

Base period

Not applicable.

Measurement unit

•    Indicators measured in barrels of oil equivalent per million riyals (energy consumption intensity by sector).
•    Indicators measured in thousand barrels of oil equivalent per day (primary energy savings from energy-efficiency initiatives).
•    Indicators measured in million tons of CO₂ equivalent (volume of carbon emissions reduced as a result of implementing energy-efficiency initiatives).
•    Indicators measured in megawatt-hours per consumer (e.g., electricity consumption rate in the building, residential, commercial, government, industrial, and other sectors).
•    Indicators measured in kilowatt-hours per capita (average per capita consumption of total electricity consumed).
•    Indicators measured in liters per capita (average per capita consumption of liquefied petroleum gases (LPG) and gasoline).
•    Indicators measured in kilowatt-hours per capita (average per capita electricity consumption by residential consumption sector).
•    Indicators measured as percentages (e.g., percentage of households with thermal insulation across the Kingdom).

Time coverage

Energy Efficiency Statistics publication data are made available based on the registry data approved and maintained by the relevant entities. The publication includes indicators covering the period from 2020 to 2024, while some other indicators are available from 2021 to 2024.

Publication frequency

The publication is issued annually within a fixed timeframe, ensuring continuous monitoring and tracking of developments in energy-efficiency indicators.

Statistical processing

Error detection

A set of methodological procedures is applied in the Energy Efficiency Statistics publication to ensure the accuracy of administrative data obtained from the records of relevant government entities. These procedures systematically detect errors and assess data quality before approval. 
These included the following:
•    Initial verification of values:
Identifying illogical or out-of-range values by examining the data for validity and conducting preliminary analyses to test internal consistency among the values.
•    Data categorization and source review:
Organizing the data and verifying its accuracy, with reference to the original source whenever any observations or errors are detected, to ensure the correctness of the values before proceeding to the next stages.
•    Internal consistency review:
Examining the relationships between variables to ensure the logical coherence of indicators and to avoid internal contradictions that may affect the final results.
•    Temporal verification (time-series consistency):
Comparing current data with previous data to ensure the integrity of time series and continuity of trends before finalizing the results.
•    External comparative verification:
Reviewing published data from supporting official sources and using it to compare and verify the accuracy of values and statistical trends, thereby enhancing the reliability of the results.
•    Correction procedures when errors are detected:
If any error or inconsistency is found during the processing stages, the data-providing entity is contacted for clarification or correction. The adjustment and its reasons are documented, and consistency and quality checks are repeated before the data are finally approved in the publication 

Data integration and matching from multiple sources 

Energy Efficiency Statistics rely on integrating data from multiple sources for the calculation of certain indicators, in order to achieve data integration and enhance their accuracy and comprehensiveness. This is carried out by utilizing administrative record data from the Ministry of Energy and linking them with statistical data issued by the General Authority for Statistics to calculate composite indicators that reflect consumption and usage patterns.

Imputation and calibration

Data are monitored and validated to ensure their accuracy and to confirm that there are no discrepancies due to differences in measurement methods. This process provides a more precise representation of the data and verifies that the recorded values accurately reflect the actual situation. 
Procedures for calculating variables and aggregates:
Energy consumption intensity by sector: 
-    Total energy consumption intensity = Energy intensity in the building sector + Energy intensity in the transportation sector + Energy intensity in the industrial sector + Energy intensity in other sectors
*Buildings sector: Buildings sector includes the residential, government, and commercial sectors.
Primary energy savings from energy efficiency initiatives by sector:

-    Total primary energy savings = savings in the building sector + savings in the transportation sector + savings in the industrial sector + savings in the utilities sector
*Buildings sector: Buildings sector includes the residential, government, and commercial sectors. 
*Utilities sector: Includes activities related to electricity generation, combined production, water desalination, and electricity transmission and distribution networks.
Volume of carbon emissions reduced as a result of implementing energy efficiency initiatives
The raw data are verified, and the values are reviewed by year to ensure the logical direction of changes and the absence of outliers.
The annual change rate is also calculated as follows:  × 100

Electricity consumption rate by consumption category (building, residential, commercial, industrial, and other consumption categories): 
The consumption rate per consumer is calculated based on administrative data using the following steps:
-    Collecting base data:
-    Total electricity consumption by consumption category (unit: gigawatt-hours, GWh)
-    Number of consumers within the same category (unit: consumers)
-    Unit conversion: The total energy by category is converted from gigawatt-hours (GWh) to megawatt-hours (MWh) by multiplying the value by 1,000, in order to standardize the unit of measurement in line with the indicator.
-    Calculating the consumption rate per consumer using the following formula:
-    Consumption rate (MWh per consumer) = 

Calculating the annual change rate of the indicator:  × 100

Average per capita consumption of total electricity consumed:
Average per capita electricity consumption of total electricity consumed is calculated based on register-based data related to total electricity consumption and population, following the steps below:
•    Data inputs: 

-    Total electricity consumption at the national level (unit: gigawatt-hours, GWh).
-    Total population (unit: individuals)
-    Unit conversion: Since the final output is measured in kilowatt-hours per person, electricity consumption is converted from gigawatt-hours to kilowatt-hours by multiplying the value by 1,000,000:
-    Electricity consumption (kWh)=Electricity consumption (GWh)×1,000,000 
•    Calculating the indicator using the following formula:
-    Average per capita consumption of total electricity consumed (kWh per capita) =

Calculating the annual change rate of the indicator:  × 100

Average per capita consumption of liquefied petroleum gases (LPG):
Average per capita consumption of liquefied petroleum gases is measured based on register-based data related to total LPG consumption and population, as follows:
•    Data input:

-    Total consumption of liquefied petroleum gases (unit: Thousand barrels
-    Total population (unit: individuals)
-    Unit conversion to liters:
-    Since the indicator result is presented in liters per person, the quantity is first converted from thousand barrels to liters:
-    Where one thousand barrels are converted into one thousand tons, then one thousand tons are converted into one thousand liters, and finally the amount is converted into liters.
-    Thousand tons = Total LPG consumption (thousand barrels) × conversion factor (0.86)

-    Thousand liters = Total LPG consumption (thousand tons) × conversion factor (1,849)
-    Liters = Total LPG consumption (thousand liters) × conversion factor (1,000)
•    Calculating the indicator using the following formula:
-    Average per capita consumption of liquefied petroleum gases (LPG) (liters per capita) =

-    Calculating the annual change rate of the indicator:  × 100

Average per capita gasoline consumption:
Average per capita gasoline consumption is measured based on register-based data related to total gasoline consumption and population, as follows:

•    Data input:

-    Total gasoline consumption (unit: Thousand barrels(
-    Total population (unit: individuals)

•    Unit conversion to liters:
-    Since the indicator result is presented in liters per person, the quantity is first converted from thousand barrels to liters:
-    Where one thousand barrels are converted into one thousand tons, then one thousand tons are converted into one thousand liters, and finally the amount is converted into liters.
-    Thousand tons = Total gasoline consumption (thousand barrels) × conversion factor (0.12)
-    Thousand liters = Total gasoline consumption (thousand tons) × conversion factor (1,328)
-    Liters = Total gasoline consumption (thousand liters) × conversion factor (1,000)

•    Calculating the indicator using the following formula:
-    Average per capita gasoline consumption (liters per capita) =

​​​​​​- Calculating the annual change rate of the indicator:  × 100

Average per capita electricity consumption in the residential sector:
Average per capita electricity consumption in the residential sector is calculated based on register-based data related to electricity consumption in the residential sector and population, following the steps below:
•    Data input: 

-    Electricity consumption by the residential consumption category (unit: gigawatt-hours, GWh).
-    Total population (unit: individuals)
-    Unit conversion: Since the final output is measured in kilowatt-hours per person, electricity consumption is converted from gigawatt-hours (GWh) to kilowatt-hours (kWh) by multiplying the value by 1,000,000.
-    Electricity consumption (kWh)=Electricity consumption (GWh)×1,000,000 

•    Calculating the indicator using the following formula:
-    Average per capita electricity consumption in the residential sector (kWh per capita) =

Calculating the annual change rate of the indicator:  × 100

Seasonal adjustments

Trends in the data obtained from the sources for the Energy Efficiency Statistics publication are monitored and analyzed, and the data are compared across time periods to ensure that there are no seasonal effects.

Adjustment of preliminary results 

The data are reviewed and verified to ensure the accuracy of values and the absence of human errors. Time series are monitored, and the data are compared with other sources to ensure there are no inconsistencies.  

Quality dimensions

Suitability

A standard that measures the extent to which the product meets the needs of users.

User needs 

The Energy Efficiency Statistics product aims to provide fundamental and structured data on energy efficiency activity and to build a reliable information base that supports decision-makers and researchers. It also contributes to preparing studies and conducting local, regional, and international comparisons to develop this vital sector.
Key variables that users benefit from include:
•    Energy consumption intensity by sectors 
•    Primary energy savings from energy-efficiency initiatives by sector
•    Volume of carbon emissions reduced as a result of implementing energy efficiency initiatives
•    Electricity Consumption Rate in the Building Sector.
•    Rate of Electricity Consumption in the Residential Sector.
•    Electricity Consumption Rate in the Commercial Sector.
•    Electricity Consumption Rate in the Government Sector.
•    Electricity Consumption Rate in the Industrial Sector.
•    Electricity Consumption Rate in Other Sectors.

•    Average per capita consumption of total electricity consumed.
•    Average per capita consumption of liquefied petroleum gases (LPG).
•    Average per capita consumption of gasoline.
•    Average per capita electricity consumption by residential consumption sector. 
Energy Efficiency Statistics data are also used by: 
Internal users in GASTAT for Energy Efficiency Statistics data:
•    General Department of National Partnerships.
•    General Department of International Indicators 
External users and major beneficiaries of Energy Efficiency Statistics data include:
•    Government entities.
•    Regional and international organizations.

•    Research institutions.
•    Media.
•    Individuals.

Completeness 

A comprehensive review of the submitted data was carried out to ensure its completeness and alignment with national requirements and international standards, including the Sustainable Development Goals (SDG) indicators and other relevant indicators. This review aimed to guarantee the accuracy, comprehensiveness, and alignment of the data with international standards.
Energy Efficiency Statistics are based on register-based data received from the Ministry of Energy, as well as data derived from the General Authority for Statistics.
Key elements required to be included in the publication: 
•    Energy consumption intensity by main sectors
•    Primary energy savings resulting from the implementation of energy-efficiency initiatives
•    Volume of carbon emissions reduced as a result of energy-efficiency initiatives
•    Electricity consumption rates by sector (residential, commercial, government, industrial, and other sectors).

•    Average per capita consumption of total electricity consumed.
•    Average per capita consumption of liquefied petroleum gases (LPG).
•    Average per capita consumption of gasoline.
•    Indicators for the residential electricity consumption sector.
•    Energy conservation indicators.

Accuracy and reliability 

A standard that measures how close the calculations or estimates are to the exact or true values that reflect reality.

Overall accuracy 

The Energy Efficiency Statistics publication is committed to ensuring the accuracy of data derived from administrative data by applying a set of methodological procedures, which include the following:
•    Reviewing time series:
Examining historical data and linking it to previous years to identify any significant changes that require verification or explanation.
•    Verifying internal consistency:
Matching values and checking for the absence of contradictions or illogical values before approving them for the publication.
•    Examining relationships between variables:
Ensuring the statistical logic of the relationship between indicators and their related variables to guarantee the validity of results.
•    Applying quality control standards:
Establishing and implementing systematic quality control procedures across all stages of data flow, from design and collection to calculation and analysis.
•    Documenting procedures:
Recording all steps of data collection, review, and verification to ensure traceability, facilitate review, and enable continuous improvement of the statistical process.

Timeliness and punctuality 

A standard that measures the time gap between the availability of information and the occurrence of the event.
However, timeliness reflects the time difference between the date of data publication and the target date when it is actually published.

Timeliness 

The General Authority for Statistics is committed to applying internationally recognized standards regarding the announcement, clarification of the time of publishing statistics on its official website, as outlined in the statistical calendar, as well as adhering to the announced time of publication. In the event of any delay, updates will be provided accordingly.

Punctuality 

The publication takes place according to the published release dates on the statistical calendar for Energy Efficiency Statistics on the website of the General Authority for Statistics.
The data are available at the expected time, as scheduled in the statistical release calendar, If the publication is delayed, reasons shall be provided.

Coherence and comparability

Statistics should be consistent internally and over time, and logically interconnected across scope and statistical domains, meaning that data should be comparable across regions and countries as well as across different time periods for the same region, and data from diverse sources can be combined and used interchangeably.

Comparability - geographical

The data are geographically comparable between countries, as they are presented at the national level for the Kingdom of Saudi Arabia. The Energy Efficiency Statistics have been linked to SDG indicators such as energy intensity measured in terms of primary energy and GDP serving as an important tool to assess impacts on the economy, environment, and society. Additionally, the preparation of the Energy Efficiency Statistics data tables relies on established standards, using internationally recognized concepts, definitions, and classifications adopted by relevant entities.

Comparability - over time 

The Energy Efficiency Statistics data represent a regular annual time series, allowing for fully reliable comparisons over time.
The following are the key changes that have occurred in the publication over the past years:
•    2021:
The first administrative publication covering energy efficiency statistics was issued.
•    2022:
The publication was not published due to challenges in data availability; it was later included in the 2023 publication within the time series.
•    2023:
All available Energy Efficiency Statistics from the source were published within the time series up to 2023, enhancing the continuity of the time series and comparability over the years. However, there are some data gaps related to: electricity consumption rates by consumption categories, such as the industrial sector and other sectors, indicators related to energy efficiency performance, such as the volume of carbon emissions reduced as a result of implementing energy efficiency initiatives, average per capita electricity consumption in the residential sector, and Energy conservation indicators.

Coherence- Cross domain

The Energy Efficiency Statistics data are characterized by a high degree of consistency across the scope, featuring internal and temporal consistency, logical coherence, and comparability for integrated use.   A set of methodological measures has been implemented to ensure this consistency, including:
•    Standardizing statistical concepts and definitions used across relevant entities such as sector definitions (residential, commercial, industrial) to ensure uniform treatment across all indicators.
•    Harmonizing classifications and units of measurement between the Ministry of Energy ecosystem and the General Authority for Statistics, particularly regarding sectoral classifications and measurement units.
•    Internal consistency verification within GASTAT by comparing energy efficiency indicators with other statistical products issued by GASTAT, such as:

-    Electrical Energy Statistics publication
-    Oil and Gas Statistics publication 
-    Household Energy Statistics Publication.

This ensures alignment of values and consistency of statistical trends across all energy products.
•    Applying quality control procedures, including reviewing time series, comparing historical values, and examining relationships among supporting data.
•    The entire methodology is documented, including variable sources, processing methods, data limits, and constraints, enhancing transparency, auditability, and potential for improvement.

Coherence- Sub-annual and annual statistics 

Not applicable, as the Energy Efficiency Statistics are annually only.

Coherence- National Accounts 

Energy Efficiency Statistics data are aligned with the economic data in the national accounts system, such as Gross Domestic Product (GDP) and outputs of various economic sectors, to ensure the integration of energy data with economic indicators. This alignment enables accurate and reliable calculation of energy indicators and analysis of the relationship between energy consumption and economic growth.

Coherence- Internal 

The Energy Efficiency Statistics data exhibit a high degree of internal consistency, as the published values are logically coherent, and the units of measurement and concepts are consistent across various tables and indicators within the publication.  Additionally, it is ensured that totals match their components and that definitions remain consistent across the years of the time series.
Internal consistency is verified through:
•    Checking logical relationships between values: Ensuring that the data align with the overall context of the publication and do not show internal contradictions between indicators.
•    Matching totals with breakdowns: For example, verifying that total consumption corresponds to the sum of sectoral consumption categories.
•    Reviewing relationships between related indicators: Ensuring coherence between consumption rates and energy conservation indicators within the same domain.
•    Verifying the stability of units, standards, and definitions: This guarantees the comparability of data over time without changes in the methodological framework.

Accessibility and clarity

The ability for users to access data, the availability of accurate or complete data, and the availability of a methodology and quality report.

Press releases

The announcements for each publication are available on the statistical calendar as mentioned in 9.1. The press releases can be viewed on the website of GASTAT on the link: 
Press release

Publications

GASTAT issues Energy Efficiency Statistics publications and reports regularly within a pre-prepared dissemination plan, and they are published on GASTAT’s website. GASTAT is keen to publish its results in a way that serves all types of users, including publications in various formats containing publication tables, data graphs, indicators, and methodology and quality reports in both English and Arabic.
The results of Energy Efficiency Statistics publication are available at:
Energy Efficiency Statistics publication   

Online database

The data is published on the statistical database on the link:
Data confidentiality at the General Authority for Statistics

Microdata accessibility

Not available.

References and standards

The Energy Efficiency Statistics Framework:
The General Authority for Statistics conducts all its statistical activities according to a unified methodology that aligns with the nature of each statistical product. It relies on a Statistical Business Procedures Manual that is consistent with the work procedures adopted by international organizations, in coordination with the relevant authorities.
For more details, you can refer to the attachment. 
Generic Statistical Business Process Model(GSBPM)
International Recommendations for Energy Statistics (IRES):
Concepts, definitions, issues, and classifications aligned with the international recommendations for energy statistics adopted by the United Nations Statistics Division.
International Recommendations for Energy Statistics (IRES)

Quality assurance

GASTAT declares that it considers the following principles: Impartiality, ensuring that the statistical product is user-oriented, maintaining the quality of processes and outputs, enhancing the effectiveness of statistical operations, and reducing the burden on respondents. 
Data is validated through procedures and quality controls that are applied during the process at various stages, such as: (data entry, data collection, and other final controls).

Quality assessment

GASTAT performs all statistical activities according to a national model (Generic Statistical Business Process Model – GSBPM). According to the GSBPM, the final phase of statistical activities is overall evaluation using information gathered in each phase or sub-process. This information is used to prepare the evaluation report, which outlines all the quality issues related to the specific statistical activity and serves as input for improvement actions.

Confidentiality

Confidentiality - Policy

According to Royal Decree No. 23 dated 07/12/1379, data must always be kept confidential and must be used by GASTAT for statistical purposes only.
Therefore, the data is protected in the data servers of GASTAT.

Confidentiality - Data Treatment

Data were displayed in appropriate tables to facilitate their summarization, comprehension, and results extraction. Also, to compare data with other data and extract statistical meanings for the study community. It is also easier to check tables without the need to see any sensitive or confidential data, which violates the confidentiality of statistical data.

Publishing policy

Statistical calendar

The Energy Efficiency Statistics is added to the statistical calendar.
Statistical Calendar

User access

One of the objectives of the General Authority for Statistics is to better meet the needs of its users; therefore, the results of the Energy Efficiency Statistics publication are made available to all users immediately upon release.
It also receives questions and enquiries from clients about the publication and its results through various communication channels, such as:
•    GASTAT official website: www.stats.gov.sa
•    GASTAT official email address:   info@stats.gov.sa
•    Official visits to GASTAT’s official head office in Riyadh or one of its branches in Saudi Arabia.
•    Official letters.
•    Statistical telephone: (199009).