Methodology and Quality Update

Latest Update on Methodology and Quality

05/01/2026

Statistical Presentation

Data description

Volunteer Work Statistics Publication:
It is a publication that provides indicators on volunteer work in the Kingdom of Saudi Arabia.
Data source for the Volunteer Work Statistics Publication:
Volunteer Work Survey.
The Volunteer Work Statistics Publication provides data on the key characteristics as follows:
•    Volunteers 
•    Volunteer hours 
•    Type of volunteering
Data is also used to estimates:
•    Volunteer rate during the last four weeks 
•    Volunteer rate during the last 12 months  
•    Average volunteer hours 

Classifications

The following classifications are applied in the Volunteer Work Statistics Publication.
National Code of Countries and Nationalities (3166 ISO – codes Country):
A statistical classification based on the international standard  (ISO 3166_Country codes), which is a standard issued by the International Organization for Standardization (ISO of the UN), and this classification gives numeric and literal codes for the world’s (248) countries, based on the classification of countries.
The classification is used in the Volunteer Work Statistics Publication to classify Saudi or non-Saudi individuals.
Saudi Classification of Specializations and Educational Levels:
A statistical classification based on the International Standard Classification of Education (ISCED_11) and (ISCED_13) for education and training, issued by the United Nations Educational, Scientific and Cultural Organization (UNESCO). It serves as the reference classification for organizing educational programs and qualifications according to their levels and fields of study. It comprehensively covers all educational programs, levels, and methods, spanning from early childhood education to higher education levels.
This classification is used in the Volunteer Work Statistics Publication to classify individuals aged 15 years and above according to their fields of specialization and educational levels.
Saudi Standard Classification of Occupations(ISCO_08):
A statistical classification based on the International Classification  (ISCO_08) that provides a system for the classification and compilation of professional information obtained through censuses, statistical surveys, and administrative records.
This classification is used in the Volunteer Work Statistics Publication to classify volunteers based on their volunteer occupations.
The National Classification for Economic Activities (ISIC4):
The statistical classification based on the International Standard of Industrial Classification of All Economic Activities (ISIC4) is used to describe the productive activities of an establishment. 
Metadata is collected through interviews, so that outputs can be produces in accordance with all relevant classifications.
The classifications are available on the GASTAT’s website  www.stats.gov.sa

Statistical concepts and definitions

Definitions and Concepts for Volunteer Work Statistics:
•    Dwelling: 
It is a building or part of a building originally intended for the residence of one or more households, with a separate entrance, whether it is occupied by one or more households or vacant at the time of the visit. It may include one or more establishments, and both a household and an establishment may exist in the same unit. The dwelling may consist of one or more rooms. According to the census, any place that is inhabited at the time of listing buildings and numbering real estate units is considered a dwelling, even if it was not originally built for residential purposes, such as shops, stores, and workshops.
•    Household:
An individual or a group of individuals, whether related or unrelated by kinship, who share meals and reside in the same dwelling during the survey period.
•    Head of the household:
The head of the household is the person designated by the household as its leader from among its residents. This person is typically responsible for making decisions on household matters and must be at least 15 years old. If the household consists of children and their mother, and a relative who does not reside with them looks after their affairs, that relative is not considered the head of the household and is not registered as a member of it, as they are registered as a member of another household. In this case, the mother is considered the head of the household.
•    Work:
Work includes any activity performed by individuals for the purpose of producing goods or providing services.
•    Volunteering:
Any unpaid and non-compulsory activity carried out for the purpose of producing goods or providing services to others.
•    Volunteer:
A person who performs at least one hour of volunteer work during a short reference period.
•    Volunteer hours:
The total time spent on volunteering.
•    Volunteer rate:
An indicator that measures the percentage of volunteers among the population aged 15 years and above during a short reference period (expressed as a percentage).
•    Direct volunteering rate during the last four weeks:
An indicator that measures the percentage of volunteers among the population aged 15 years and above over a short reference period (expressed as a percentage), limited to those whose volunteer work was carried out directly for individuals.
•    Organization-based volunteering rate during the last four weeks:
An indicator that measures the percentage of volunteers among the population aged 15 years and above over a short reference period (expressed as a percentage), limited to those whose volunteer activities were all carried out through organizations.
•    Combined volunteering rate (direct and organization-based) during the last four weeks:
An indicator that measures the percentage of volunteers among the population aged 15 years and above over a short reference period (expressed as a percentage), for those who carried out part of their volunteer activities directly for individuals and part through organizations.
•      Direct volunteering:
Direct volunteering refers to voluntary work that is provided directly to others without the involvement of any entities (organizations or institutions) that organize such voluntary activities. It may be considered informal volunteering, as it is not organized by organizations or institutions. (informal)
•    Volunteering through organizations:
Volunteering through organizations refers to voluntary work that is provided to others through organizations, institutions, companies, and similar entities. This type of volunteering may be considered formal volunteering, as it is organized by organizations or institutions. .(formal)
•    Multiple volunteering activities (direct and through organizations):
It refers to voluntary work that is provided to others through a combination of direct volunteering (informal) and volunteering through organizations, institutions, companies, and similar entities (formal).
•    Average volunteer hours during the last four weeks:
An indicator that measures the average number of volunteer hours during the last four weeks for volunteers aged 15 years and above. It is calculated as the total number of volunteer hours divided by the total number of volunteers.

Data sources

Data source for the Volunteer Work Statistics Publication.
Volunteer Work Survey:
It is a household survey in which data are collected by contacting a representative sample of the population across all administrative regions of the Kingdom of Saudi Arabia, from occupied and unoccupied dwellings. An electronic questionnaire containing a number of questions is administered. The survey provides estimates and indicators related to volunteers aged 15 years and above residing in the Kingdom of Saudi Arabia and calculates key volunteering indicators such as volunteering rates, average volunteer hours, and others.
The disseminated key variables of survey data are:
Volunteering rates and average volunteer hours by the following variables:
•    Nationality.
•    Sex.
•    Age groups.
•    Educational level.
•    Administrative regions.

Designing the data collection tool

An electronic questionnaire (CATI) was designed to ensure ease of use by interviewers, and data were collected using a questionnaire prepared and designed by specialists at the General Authority for Statistics. During its design, international recommendations, standards, and definitions were taken into account, and it was also reviewed by relevant entities to gather their feedback and observations. The questions were formulated using a scientific approach to standardize the administration of the questions by interviewers.  
Sections of the questionnaire:
•    Dwelling and Household Metadata.
•    Household members characteristics.
•    Labor force status data for individuals (15 years and above). 
•    Volunteer work data (individuals aged 15 years and above). 
•    Volunteering-related giving data (individuals aged 15 years and above). 
•    Opinion data. 
Method of calculating the indicators:
•    Volunteer rate = (Number of volunteers ÷ Total population aged 15 years and above) × 100
•    Male volunteer rate = (Number of male volunteers ÷ Total male population aged 15 years and above) × 100
•    Female volunteer rate = (Number of female volunteers ÷ Total female population aged 15 years and above) × 100 
•    Average volunteer hours = (Total volunteer hours ÷ Total number of volunteers aged 15 years and above)
Review and Correction Rules:
To ensure the quality of the Volunteer Work Survey data, four types of review and correction rules were established, as follows:
•    Automated adjustment rules:
These rules are applied for the automatic calculation of certain fields or automatic adjustment of responses in specific fields to align with some questionnaires, totaling approximately 107 rules.
•    Navigation rules between sections and fields:
Special rules were programmed to regulate automatic navigation between sections and fields based on the respondent’s input.
•     Error rules: 
These rules cannot be bypassed during data entry. The field researcher must correct the data by referring back to the respondent to ensure accuracy. There are approximately 34 such rules.
•    Alert (Warning) Rules: 
These rules are designed to verify the correctness of the data entered by the researcher. The field researcher may override them if the data accuracy is confirmed, with a total of approximately 44 rules.

Questionnaire test (cognitive test)

The cognitive testing of the survey questionnaire was conducted using a random sample of households distributed across the regions of the Kingdom of Saudi Arabia, taking into account variations in educational level, age group, sex, and nationality of the participants.
During the cognitive testing process, the following evaluation pillars were taken into consideration: The overall concept of the question, the clarity of its wording, the clarity of the terms used, the appropriateness of the response options, the participants’ ability to answer the questions effectively, and the extent to which participants were willing to disclose their answers were assessed. 
Several observations were recorded related to the following pillars (wording, understanding, response options, and the extent of disclosure). Based on these observations, the required improvements and modifications were made to the final questionnaire.

Statistical population

The Volunteer Work Survey framework consists of a list of all buildings and housing units in the Kingdom, and it is the result of the 2022 Saudi Census. The target statistical population for the Volunteer Work Survey in the Kingdom of Saudi Arabia comprises Saudi and non-Saudi individuals aged 15 years and above residing in buildings intended for private housing.

Sample Design

Sample type:
The sample was designed using a two-stage stratified cluster systematic random sampling method. In the first stage, a random sample of primary sampling units (counting areas) was selected for each stratum of the adopted sampling design.   In the second stage, a systematic random sample of 15 households was selected from each chosen primary sampling unit.
Stratification:
To increase the efficiency of the sample and enhance its representation of the target population, the primary sampling units in the sample frame were classified into homogeneous strata as follows: This approach aims to obtain more accurate results than a simple random sample of the same size, while ensuring a sufficient number of households at publishable levels with acceptable accuracy. The stratification was carried out using governorates and the degree of urbanization (urban–rural) as actual strata, due to the need to produce survey indicators separately for each governorate. The total number of governorates is 150.
Allocating the sample across strata:
In this survey, the total sample size was estimated at the kingdom level, after which the sample was distributed across the thirteen administrative regions using power allocation (with a lambda value of 0.4). The sample of each administrative region was then distributed among its governorates using probability proportional to size (PPS), with adjustment of the sample size for small governorates to ensure that it does not fall below a certain minimum value. 
Calculation of sample size:
Parameters and specifications used in estimating the sample size:
•    The sample size was calculated using the following parameters and specifications:
-    to obtain estimates with a specified level of precision and a predetermined coefficient of variation (CV). The allowable coefficient of variation used in calculating the sample size at the national level was 10.9%, and the allowable relative margin of error at the national level was 0.015.
-    The design effect used in the sample was 2. 
-    The response rate was 45%.
-     A confidence level of (1–α) = 0.95 was used in estimating the percentage.
•    The design effect, the estimated proportion, and the response rate were calculated using scientifically based assumed values.
-    The proportion of the target individuals (aged 15 years and above) out of the total population from the census is 79%.
-    The average household size from the census is 3.7.
Note: During data collection, all household members aged 15 years and above were included. Therefore, an average household size of 3.7 and a proportion of target individuals (aged 15 years and above) of 79% from the census were used when calculating the sample size.
Sample size estimation formula:
 The sample size for each stratum ℎ (study domain) was calculated as follows:

Where:
•   : It is the sample size for each stratum h   (study domain).
•    : It is the allowable relative margin of error for each stratum h (study domain). 
•    It is the estimated design effect for each stratum h (study domain).  
•    : It is the estimated response rate for each stratum h (study domain).   
•   : The assumed indicator proportion, based on a scientific basis, for stratum h (study domain).  
•   α: It is the confidence level coefficient for the mentioned proportion for each stratum 
ℎ (study domain).  
•     : The proportion of the target individuals (aged 15 years and above) out of the total population from the census.
•    : The occupancy rate of the housing unit.
•   AVG.F : The average household size from the census.
Sample size and allocation across administrative regions
The sample was designed using a stratified cluster random sampling method. The total sample size amounted to 24,878 households distributed across 1,654 counting areas. The distribution of the sample by administrative regions is as follows:

Table of sample distribution at the level of administrative regions:

Statistical unit (sampling unit)

The statistical unit in the Volunteer Work Survey is the household.

Data collection

Data collection from the survey:
The Volunteer Work Statistics data were collected through computer-assisted telephone interviews (CATI).
The data is stored in the authority's databases after undergoing auditing and review processes following approved statistical methods and recognized quality standards. If errors or discrepancies are discovered, the data is cross-referenced with the data source for correction or clarification.

Data collection frequency 

The results of the Volunteer Work Survey are published periodically every three years in accordance with the approved statistical plan.

Reference area

The Volunteer Work Survey covers 13 administrative regions in the Kingdom of Saudi Arabia.

Reference period (time reference)

References period to the variables or dataset as following:
•    Data on the number of household members and their demographic characteristics are based on the date of the household interview.
•    Data on volunteers refer to the four reference weeks preceding the household interview, defined as four full weeks before the interview date (from Sunday of the first week to Saturday of the last week).
•    Data on volunteers during the 12-month period refer to the 12 months preceding the household interview.
The “12-month reference period” refers to the 12 full months preceding the interview date (from the first day of the first month to the last day of the twelfth month). It should be noted that if the household is re-interviewed or if completing the individuals’ data is requested at a later time, the data are assigned to the reference period of the household’s first interview.

Base period

Not applicable. 

Measurement unit

The results are measured using the following units:
•    Individuals: They are displayed as absolute numbers (e.g., Number of volunteers)  
•    Rates, percentages, and relative distribution (e.g., volunteer rate and the relative distribution of volunteer activities).
•    Hours: Displayed as averages (e.g., average volunteer hours during the last four weeks).

Time coverage

The data are available from 2018 to 2025.

Publication frequency

The results of the Volunteer Work Survey are published periodically every three years in accordance with the approved statistical plan.

Statistical processing

Error detection

Meticulous processes were implemented to detect errors in the data collected, using automated and manual methods aimed at ensuring quality and accuracy.
These included the following:
•    Identification of illogical or out-of-range values (such as impossible ages or contradictory data).
•    Detecting missing or incomplete data and handling them according to established policies.
•    Reviewing internal consistency among questionnaire responses.
•    Data are reviewed and matched to ensure their accuracy and precision in a way that suits their nature, with the aim of giving the presented statistics quality and accuracy.
•    The data of the current publication year are compared with the data of the previous survey to ensure their accuracy and consistency in preparation for processing the data, extracting the results, and reviewing them.
•    Data processing and tabulation to verify accuracy.
 All outputs are stored and uploaded to the database after being calculated by GASTAT, to be reviewed and processed by specialists in the Labor Market Statistics Department using modern technologies and software designed for this purpose.

Data integration and matching from multiple sources 

In the Volunteer Work Survey, the national ID of household members is requested and linked with data from the National Information Center during the household interview. This is used to complete data on name, sex, date of birth, age, and relationship to the head of the household, which contributes to improving the quality of the household’s demographic data.

Imputation and calibration

Sample weights
Sampling weights are factors used in analyzing data collected from a sample rather than from the entire population. Their purpose is to correct for biases resulting from differences in selection probabilities among households in the sample. This helps ensure that the analysis results are more accurately representative of the population.
Main uses of sampling weights:
•    Bias correction: Adjusting for biases resulting from unequal selection probabilities among members of the population.
•   Population representation: Ensuring that the results derived from the sample accurately reflect the true characteristics of the population.
How to calculate sampling weights:
Design weight: Reflects the probability of selecting each household in the sample. It is calculated as the inverse of the selection probability as follows:
If the probability of selection for individual iin stratum his   , , then the weight of the individual selected in the sample is as follows:

Weight adjustment:
Adjustment due to the exclusion of part of the population:
When a part of the target population is excluded for practical reasons—such as the unavailability of communication methods with that segment or difficulty in reaching them because they live in remote areas, the sample weights must be adjusted to compensate for the excluded segment. This adjustment is carried out as follows:
•    The number of individuals in each stratum of the target population, including the excluded part, was obtained and is denoted by the symbol     .
•    The number of individuals in each stratum of the target population, after subtracting the excluded part, was obtained and is denoted by the symbol   ..
•    The adjustment factor is calculated by dividing by   in each stratum.
•    The adjusted weight is calculated as follows  

Adjustment due to non-response:
Weight adjustment to compensate for non-response or missing data to ensure proper representation of the sample. This adjustment is made after data collection and identifying the response cases, and is calculated using the following formula:

Where    represents the non-response adjusted weight in stratum (or adjustment class) h, and the non-response adjustment factor for each stratum (or adjustment class)   is calculated as follows: 

Final adjustment (weight calibration):
If the survey indicators relate to the individual rather than the household, the weights are calibrated (adjusted) to align with the population distribution based on known characteristics such as age, sex, nationality, and administrative region. This is done as follows:
•    Adjustment classes, called post-strata, are created through a combination of the variables mentioned above. The updated population totals for each adjustment class are obtained from the population projections.

•    The totals of the non-response adjusted weights are calculated within each adjustment class.
•    The weight calibration factor is calculated by dividing the population totals by the total weights within each adjustment class.
The following equation illustrates the weight calibration mechanism.

Whereas:
•    : represents the final weight of individual iin adjustment class psafter weight calibration.
•    : represents the non-response adjusted weight of individual iin adjustment class   .
•    : represents the total number of individuals, according to the population projections, in adjustment class ps.
•      : represents the total non-response adjusted weights in adjustment class ps.
Table of survey response outcomes after the data collection process is as follows:

Processing missing and abnormal inputs:
In cases of household non-response, compensation is made by adjusting the weight. Using weight adjustment factors, which are applied to the primary sampling units in the Volunteer Work Survey.
The non-response adjustment factor is calculated according to the following formula:
Non-response adjustment factor = (Number of households in the primary sampling unit) / (Number of responding households in the primary sampling unit).
In cases of incomplete datasets, some data are imputed using the statistical model (hot deck), which means selecting a random donor for the record based on a set of variables and according to specific conditions and rules. 

Seasonal adjustments

Not applicable, only final results will be published.

Adjustment of preliminary results 

Not applicable, only final results will be published.

Used Resources

Quality dimensions

Suitability

A criterion that indicates how well the product meets users’ needs.

User needs 

GASTAT’s internal users of Volunteer Work Statistics data:
•    Departments under the General Directorate of Social Statistics.
•    Departments under the General Directorate of Economic Statistics.
•    Departments under the General Directorate of Spatial and Resources Statistics.
•    Partnerships and Customer Support Department.
•    Statistical database.
Several external users and beneficiaries rely greatly on the Volunteer Work Statistics data, including:
•    Government entities.
•    Regional and international organizations.
•    Research institutions.
•    Media.
•    Individuals.
The key variables most utilized by external users:

Completeness 

Volunteer Work Statistics data are based on the Volunteer Work Survey. To provide comprehensive information on volunteering and the data are complete.

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 

Data accuracy and reliability are ensured through:
•    Using updated statistical frameworks.
•    Training and qualifying data specialists to enhance their efficiency.
•    Applying quality control rules and error detection during data collection through the electronic questionnaire.
•    Checking the correlation between variables and data consistency.
•    Data is checked with previous years to identify any significant changes in the data.
•    The internal consistency of the data is checked before it is finalized.

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 is carried out according to the release dates listed in the statistical calendar for the Volunteer Work Survey 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

A standard that refers to the necessity of internal and temporal consistency of statistics, their logical coherence, and their comparability and integration across different regions and sources.

Comparability - geographical

The statistical data related to Volunteer Work Statistics are fully geographically comparable across the administrative regions of the Kingdom, as well as at the regional and international levels.

Comparability - over time 

The statistics began in 2018, and the following are the main changes that have occurred in recent years:
•    2018:
Computer-assisted Personal Interviewing (CAPI) is beginning to be used as the main and only collection method. 
•    2019 to 2024:
The survey was not conducted.
•    2025:
Computer-assisted Telephone Interviewing (CATI) is beginning to be used as the main and only collection method.

Coherence- Cross domain

The comparable time series relies on population estimates derived from population censuses. For the Volunteer Work Survey in the Kingdom, the survey relied on population estimates based on more than one population census. The following are the comparable time series based on the conduct of the censuses:
•    2018 (based on the 2010 Census), and it will be updated using the 2022 Census.
•    2025 (based on the 2022 Census).

Coherence- Sub-annual and annual statistics 

Not applicable, as the Volunteer Work Survey is conducted every three years and no sub-annual publications are produced.

Coherence- National Accounts 

Data on volunteers by economic activity are used as input in estimating national accounts.

Coherence- Internal 

 The estimates of the Volunteer Work Survey have full internal consistency, as they are all based on the same precise dataset and are calculated using the same estimation methods.

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 10.1. The press releases can be viewed on the website of GASTAT on the link: 
Press release

Publications

GASTAT regularly issues publications and reports on Volunteer Work Statistics according to a pre-established release plan, and they are published on the Authority’s website.  GASTAT is keen to publish its results in a way that serves all types of users, including releases in different formats that contain publication tables, data charts and indicators, the methodology and quality report, and the questionnaires used, in both English and Arabic.
The results of Volunteer Work Statistics are available at the link:
Volunteer Work Statistics

Online database

The data is published on the statistical database:
GASTAT (stats.gov.sa)

Microdata accessibility

Accurate data is unit-level disaggregated data obtained from multiple sources such as sample statistical surveys, general population and housing censuses, and administrative systems, providing detailed information about the characteristics of individuals, families, business entities, and geographical areas, supporting the construction and development of statistical indicators and scientific research.
Different types of microdata files to meet diverse information needs:
•    Public use: 
It consists of sets of records containing information on individuals, households, or business entities anonymized in such a way that the respondent cannot be identified either directly such as: (name, address, contact number, identity number etc.) or indirectly (by combining different - especially rare - characteristics of respondents) such as: (age, occupation, education etc.).
•    Scientific use:
These files are generated based on specific methodologies and upon the request of the data applicant to extract datasets with defined characteristics used in strategic studies, decision-making, and scientific research purposes for individuals, households, and establishments, while ensuring that they contain no direct identifiers and are subject to confidentiality protection controls.
Qualified users who meet the standards and procedures of confidentiality protection can access the files of scientific use of accurate data through the platform "ITAHA" of the General Authority for Statistics, while the most sensitive data for use is shared by visiting the accurate data laboratory within a secure environment managed by the Authority.

References and standards

Volunteer Work Survey framework:
The concepts, definitions, and classifications are based on international guidelines and standards adopted by the International Labor Organization (ILO).
The Volunteer Work Survey applies the volunteer work statistics standards and the guidelines issued by the International Conference of Labor Statisticians (ICLS), and these are updated periodically.
https://www.stats.gov.sa/documents/d/guest/-53

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 of SMEs survey are presented in right tables in order to summarize, understand, as well as extract their results. Moreover, to compare them with other data, and to obtain statistical significance about the selected study population. However, referring to such data indicated in tables is much easier than going back to check the original questionnaire that may include some data like names and addresses of individuals, and names of data providers, which violates data confidentiality of statistical data.
“Anonymity of data” is one of the most important procedures. To keep data confidential,
GASTAT removed information on individual persons, households, or business entities in such a way that the respondent cannot be identified either directly such as: (name, address, contact number, identity number etc.) or indirectly (by combining different - especially rare - characteristics of respondents) such as (age, occupation, education etc.).

Dissemination policy

Statistical calendar

Volunteer Work Statistics have been included in the statistical calendar.
Statistical Calendar

User access

One of GASTAT’s objectives is to better meet its clients’ needs; therefore, it immediately provides them with the results of the publication once the Volunteer Work Statistics results are released.
Customer questions and inquiries about the publication and its results are also received 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).

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