Methodology and Quality Update

Latest Update on Methodology and Quality

24/12/2025

Statistical Presentation

Data description

The Waste Accounts publication (System of Environmental-Economic Accounting for Waste) is a statistical product with a structured and comprehensive approach, consistent with international concepts and classifications. Its data are mainly collected through statistical surveys and administrative records from several sectors. It measures indicators related to waste accounts that reflect the environmental, social, and economic aspects in the Kingdom of Saudi Arabia, and it focuses on the following key characteristics: 
•    Quantity of waste supply by type of waste and economic activity.
•    Quantity of waste use by type of waste and economic activity.

Classifications

The following classifications are applied in Waste Accounts (Environmental-Economic Accounting for Waste).
The National Classification for Economic Activities (ISIC4):
It is a statistical classification based on the International Standard Industrial Classification of All Economic Activities (ISIC4), used to describe the productive activities of an establishment.
The classifications are available on the GASTAT’s website:
  Classifications - General Authority for Statistics
System of Environmental-Economic Accounting – Central Framework (SEEA):
It is a framework that integrates economic and environmental data to provide a more comprehensive and multi-purpose view of the interrelationships between the economy and the environment, as well as environmental asset stocks and changes therein, as they provide benefits to humanity. It contains internationally agreed concepts, definitions, classifications, accounting rules, and standard tables for producing internationally comparable statistics and accounts. The System of Environmental-Economic Accounting framework follows an accounting structure similar to that of the System of National Accounts. The framework uses concepts, definitions, and classifications that are consistent with the System of National Accounts to facilitate the integration of environmental and economic statistics. The System of Environmental-Economic Accounting is a multi-purpose system, as it produces a wide range of statistics, accounts, and indicators with many different potential analytical applications. It is a flexible system that can be adapted to countries’ priorities and policy needs, while at the same time providing a common framework, concepts, terminology, and definitions.
Waste accounts are part of the Central Framework of the System of Environmental-Economic Accounting. 
The Central Framework covers three main areas:
•    Environmental flows:
Flows of inputs, products, and residuals between the environment and the economy, and within the economy, in both physical and monetary terms.
•    Environmental asset stocks:
Stocks of individual assets, such as water or energy assets, and how they change over an accounting period as a result of economic activity and natural processes, in both physical and monetary terms.
•    Environment-related economic activity:
Monetary flows associated with environment-related economic activities, including expenditure on environmental protection and resource management, and the production of environmental goods and services.
Link to the framework:
Central Framework of the System of Environmental-Economic Accounting

Statistical concepts and definitions

Terms and concepts for Waste Accounts (Environmental-Economic Accounting for Waste):
•    Paper and cardboard waste:
Waste classified by its material composition as paper and cardboard, which may be generated by any economic activity or arise from establishments’ municipal waste, such as paper and cardboard.
•    Plastic waste:
Waste consisting of plastic materials manufactured from polymers, which are derived from petroleum, and which are discarded after use. It includes a wide range of products used daily in households, industry, agriculture, and trade.
•    Metal waste:
Waste of ferrous metals, such as iron and steel, and non-ferrous metals, such as aluminum, copper, silver, and gold.
•    Textiles, leather, and rubber waste:
Textile waste refers to waste from the production of yarns from fibers, which are used in textile manufacturing. Leather waste consists of discarded or surplus materials generated during the manufacturing or processing of leather goods.
•    Organic material waste (plant and animal):
Materials generated from food production, such as potato peels, cereal residues, residues of yellow corn and sesame after oil extraction, and palm and tree residues. It also includes waste generated from animals and poultry. 
•    Construction material waste:
All solid waste generated from construction and demolition activities. This includes waste arising from the construction of buildings and infrastructure, the demolition of buildings and infrastructure, as well as the maintenance, renovation, and rehabilitation of buildings and infrastructure.
•    Wood waste:
Materials produced from wood that are no longer suitable for their original use, generated from industrial processes, construction and demolition activities, or from household and commercial use.
•    Glass waste:
Materials produced from glass that are no longer suitable for their original use, generated from industrial processes, construction and demolition activities, or from household and commercial use.
•    Hazardous waste:
Waste generated from industrial and non-industrial activities that contains toxic substances, flammable substances, reactive substances, corrosive substances, solvents, degreasing agents, coloring substances, sludge, or acids and alkalis, and that poses a potential risk to human health or the environment. It may be in liquid, solid, semi-solid, or gaseous form.
•    Electronic waste:
Waste generated from equipment that operates using electric currents or electromagnetic fields. It includes all components, sub-assemblies, and consumable materials that form part of the product at the time of disposal. Such waste includes, but is not limited to,  mobile phones, chargers, printers, computers, and electronic routers.
•    Hazardous medical waste: 
Waste generated from facilities providing various healthcare services, laboratories, centers for the production of medicines, pharmaceutical products, and vaccines, veterinary treatment centers, and research institutions, as well as from home-based treatment and nursing. Such waste is contaminated, or potentially contaminated, with infectious or chemical agents, and it poses a risk to individuals, society, and the environment during its generation, collection, handling, storage, transport, or disposal.
•    Sewage sludge:
Residual sludge from municipal or industrial wastewater treatment plants, and from any other wastewater treatment plants that are similar in composition to municipal or industrial wastewater.
•    Slaughterhouse waste:
Waste generated from slaughtering processes, such as bones, organs, blood, manure, fats, and meat parts unfit for consumption.
•    Tire waste:
Tire Waste tires that are no longer suitable for use due to wear, damage, or the end of their service life, and that must be managed in an environmentally sound manner.
•    Fine and liquid waste:
Small waste particles and liquid components that are separated during the treatment of municipal solid waste, and that typically contain organic residues, moisture, and inert materials.
•    Municipal solid waste:
Waste generated from household, commercial, and administrative activities, whether collected in a mixed or separate manner. It includes paper, glass, metals, plastics, food, green waste, and electronic waste.
•    Other specified waste:
Any other types of waste not mentioned previously.

Data sources

The Waste Accounts Publication (Environmental-Economic Accounting for Waste) relies on a variety of data sources, including administrative data available from the Ministry of Environment, Water and Agriculture, the National Center for Waste Management, and the Ministry of Municipalities and Housing, as well as statistical surveys and secondary data. This diversity of data sources aims to enhance the accuracy of analysis and the comprehensiveness of coverage.
The data of the Waste Accounts Publication (Environmental-Economic Accounting for Waste) are based on three data sources: 
First source: Register-based data from the following government entities:
•    Ministry of Environment, Water and Agriculture.
•    National Center for Waste Management 
•    Ministry of Municipalities and Housing.
Second source: Statistical surveys, represented by the Economic Waste and Water Survey.
Through this survey, the quantity of waste by disposal methods was calculated for the following activities: mining, manufacturing, electricity, gas and steam production, and construction.
Third source: Secondary data, derived from the Agricultural Production Survey and specialized projects.
Through these sources, the quantity of waste by disposal methods was calculated for the agricultural activity. 

Designing the data collection tool

An electronic form (CAPI) was designed to ensure ease of use by field researchers, and the data was 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 presented to relevant entities to gather their views and observations. The questions were formulated in a specific scientific manner to unify the format of question delivery by researchers.
Sections of the questionnaire:
•    Establishment’s economic activity.
•    Waste.
•    Water.
Calculation Method:
GASTAT relied on internationally recognized equations, in accordance with international standards, to calculate the main indicators of the Waste Accounts Publication (Environmental-Economic Accounting for Waste). The data were calculated as follows:
•    Percentage of waste generated by the municipal sector out of the total quantity of waste =  × 100

•    Percentage of organic waste out of the total quantity of waste =  × 100

•    Percentage of construction material waste out of the total quantity of waste = × 100

•    Percentage of hazardous waste out of the total quantity of waste =  × 100

•    Percentage of waste generated by the manufacturing sector out of the total quantity of waste =  × 100

•    Percentage of waste used within economic activities out of the total quantity of waste =  × 100

•    Percentage of waste disposed of by landfilling out of the total quantity of waste =  ×100

•    Daily per capita household waste = ×100

Review and Correction Rules:
 Audit and control rules have been established in the form to ensure that the data collected is consistent, accurate, and logical. These rules were designed by establishing logical relationships between responses, questions, and different variables to help the field researcher detect any errors directly during data entry.
To ensure the quality of the Economic Waste and Water Survey data, four types of review and correction rules were established, as follows:
•    Automated adjustment rules:
These rules were established for the automatic calculation of certain fields or the automatic adjustment of responses in specific fields, in line with some questionnaires, totaling (11) 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 are rules that cannot be bypassed during the data entry process. The field researcher must correct the data by referring back to the respondent to verify its accuracy. The total number of these rules exceeds 98.
•    Alert rules (warnings):
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 115 rules.

Administrative data of the Waste Accounts Publication:
Administrative data are collected based on standardized data request forms directed to data-owning entities, aimed at obtaining periodic, harmonized, and documented data derived from administrative records related to waste indicators, thereby ensuring improved data quality and integration across different data sources.

Questionnaire test (cognitive test)

Cognitive testing was conducted on a number of questions in the Economic Waste and Water Survey questionnaire, based on the core pillars of cognitive testing. Several observations were identified related to the following pillars: wording, comprehension, response options, and the assessment of disclosure feasibility. Accordingly, the final questionnaire was redesigned.

Statistical population

The statistical population of the Economic Waste and Water Survey consists of all establishments in the Kingdom of Saudi Arabia that carry out the following activities:
•    Mining and petroleum extraction.
•     Manufacturing industries.
•    Electricity, gas, steam and air conditioning supplies.
•    Construction.
•    Accommodation and food services activities.

Sample Design

The sample was designed using the stratified systematic random sampling method, in which a systematic random sample of establishments was selected for each stratum of the adopted sampling design.
Stratification:
To increase the efficiency of the sample and improve its representation of the target population, establishments in the sampling frame were classified into homogeneous strata. In order to obtain more accurate results compared to a simple random sample of the same size, and to provide a sufficient number of establishments at publishable levels, the stratification was applied across three levels as follows: 
•    Stratification at the fourth-level classification of economic activity (ISIC4).
•    Stratification at the level of administrative regions.
•    Stratification by establishment size categories, which are:
-    Micro enterprises:
Establishments with 1 to 5 employees.
-    Small enterprises:
Establishments with 6 to 49 employees.
-    Medium enterprises:
Establishments with 50 to 249 employees.
-    Large enterprises:

Establishments with more than 249 employees.
Sample size:
The sample size was calculated at the level of each stratum of the study domain (economic activity at the second level of the International Standard Industrial Classification (ISIC4)).  h 
The resulting sample size calculated for each study domain (economic activity at the second level of the International Standard Industrial Classification (ISIC4)) was then allocated across establishment size classes and subsequently across administrative regions using the Probability Proportional to Size (PPS) allocation method. This allocation method reduces the variance of weighting factors, thereby reducing the variance of estimates and increasing design efficiency. In addition, the sample size at the study domain level was adjusted to a minimum acceptable number of establishments to obtain a sufficient response size for publishing accurate estimates of the targeted indicators. Moreover, all medium and large establishments were included in the sample with a 100% selection probability due to their importance.
Accordingly, the calculations outlined above resulted in a total sample size of (28,600) establishments, distributed as shown in the table below.
Table1: Distribution of the survey sample at the 1-digit level (section) of the International Standard Industrial Classification of Economic Activities (ISIC4).

Statistical unit (sampling unit)

The statistical unit in the Waste Accounts (Environmental-Economic Accounting for Waste) comprises all relevant environmental, economic, and social units in the Kingdom of Saudi Arabia that are covered by administrative records and statistical surveys.
including:
•    Economic establishments classified according to the National Classification of Economic Activities (ISIC4).
•    Households.

Data collection

Data collection from the survey:
Data related to Waste Accounts (Environmental-Economic Accounting for Waste) are collected through the Economic Waste and Water Survey, conducted in the field through computer-assisted personal interviews (CAPI).
Data collection from administrative records:
In coordination with the relevant departments of the Authority responsible for survey implementation and data collection management, the administrative data related to the Waste Accounts Publication (Environmental-Economic Accounting for Waste) is obtained from the Ministry of Environment, Water and Agriculture, the National Center for Waste Management, and the Ministry of Municipalities and Housing. 
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 

Data for Waste Accounts (Environmental-Economic Accounting for Waste) are collected on an annual basis.

Reference area

Data from the Waste Accounts (Environmental-Economic Accounting for Waste) publication are at the level of the Kingdom of Saudi Arabia.

Reference period (time reference)

Data for Waste Accounts (Environmental-Economic Accounting for Waste) are assigned to the year 2024, in accordance with the reference period adopted for the different data sources.

Base period

Not applicable.

Measurement unit

•    Indicators measured in tons, such as the quantity of waste supply and use.
•    Indicators measured in million Saudi riyals, such as total operating surplus and compensation of employees.
•    Indicators calculated as percentages, such as the share of households in the total waste generated.

Time coverage

Data cover the years 2023 and 2024.

Publication frequency

The Waste Accounts (Environmental-Economic Accounting for Waste) publication is issued on a regular biennial basis, in accordance with the approved statistical plan.

Statistical processing

Error detection

The data is reviewed and validated to ensure its accuracy in a manner appropriate to its nature, to enhance the quality and accuracy of the statistics provided. 
The current year’s publication data is compared with the previous year’s data to ensure its validity and consistency in preparation for data processing, extracting results, and reviewing them.
In addition to processing and tabulating the data to verify its accuracy, all outputs are stored and uploaded to the database after being collected by the General Authority for Statistics, where they are reviewed and processed by specialists using modern technologies and software designed for this purpose.

Data integration and matching from multiple sources 

The Waste Accounts Publication (Environmental-Economic Accounting for Waste) relies on calculating some of its indicators by integrating data received from more than one source in order to achieve data integration and enhance their accuracy and comprehensiveness. This is achieved by utilizing administrative records data from the relevant entities and linking them with statistical survey data and secondary data issued by the General Authority for Statistics, to calculate composite indicators.
Data from multiple sources were integrated and reconciled through the following:
•    Verification of consistency between variables.
•    Verification of internal consistency to ensure that aggregates are consistent with details.
•    Cross-checking the data with information published by other official sources as supporting data, to compare and verify the accuracy of the data.

Imputation and calibration

Handling missing values (Imputation):
Statistical imputation or calibration methods were used in the Waste Accounts (Environmental-Economic Accounting for Waste) publication due to the presence of some incomplete administrative and registry data. The data-providing entities were contacted directly to ensure data consistency before their adoption in the publication.

Estimates and assumptions:
•    The quantity of waste supply for economic activities (agriculture, mining, manufacturing, and electricity, gas, and steam supply) was allocated based on the proportional distribution of the waste composition derived from data of the National Center for Waste Management. 
•    The quantity of municipal solid waste supply was allocated to households and other economic activities based on the proportional distribution derived from data from the National Center for Waste Management. 
•    The quantity of waste use by waste type for economic activities (mining, manufacturing, electricity, gas, and steam supply, and construction) was allocated based on the proportional distribution of waste recycling and use derived from the Economic Waste and Water Survey data. The quantity of waste use for the agricultural activity was calculated based on the proportional distribution of waste recycling and use derived from the Agricultural Production Survey and specialized projects.
•    It was assumed that waste disposal through a public container or a rented container constitutes disposal by landfilling.
•    Electronic waste in the supply table was allocated between household waste and other economic activities’ waste based on the distribution of electronic waste within municipal solid waste.
•    It was assumed that vehicle waste constitutes metal waste, and its generation falls under other economic activities.
•    It was assumed that tire waste is generated by other economic activities.
•    It was assumed that the quantity of waste treated under the activity of waste collection and disposal services managed by the National Center for Waste Management (MWAN) includes only waste generated by the municipal sector (households and other economic activities) that is disposed of through landfilling or recycling.
•    Other disposal methods include various waste treatment and disposal methods, particularly for waste not associated with detailed quantities by waste type. These 

methods include microwave treatment, incineration, compaction and co-processing, sale, open dumping, safe and unsafe backfilling/landfilling, and others.
•    Disposal methods through a specialized company include microwave treatment, incineration, compaction and co-processing, sale, open dumping, safe and unsafe backfilling/landfilling, and others.
•    Slaughterhouse waste for 2023 was estimated based on administrative data for slaughterhouse waste for 2024 and the number of livestock slaughtered in 2023 and 2024.
•    Waste disposed of by landfilling under the activity of waste collection and disposal services managed by the National Center for Waste Management (MWAN) for 2024 was estimated based on administrative data for 2023, using the proportional distribution of landfilled waste from total waste generated.
Weighting:
The basic sample weights are calculated based on the strata used in its design and distribution, where the selection probability of establishment i from stratum h is, and thus the weight of the establishment selected in the sample is as follows:  

Non-response weight adjustment:
Weight adjustment to compensate for non-response or missing data is applied to ensure proper sample representation. This adjustment is carried out after data collection and processing, once response statuses are identified, according to the following equation: 

It represents the non-response adjusted weight in stratum (or adjustment class), where the adjustment (or correction) factor is calculated for each stratum (or adjustment class) as follows:  ​​​​​​​

Where R represents the responses and NR represents the non-responses .

Seasonal adjustments

Not applicable, only final results will be published.

Adjustment of preliminary results 

Not applicable. The results are published in their final form and are not released as preliminary results.

Used Resources

Quality dimensions

Suitability

A criterion that indicates the extent to which the product meets users’ needs.

User needs 

Internal users within the General Authority for Statistics of the Waste Accounts (Environmental-Economic Accounting for Waste) data:
•    National accounts.
•    International Indicators Department.
Several external users and beneficiaries greatly benefit from the data of the Waste Accounts (Environmental-Economic Accounting for Waste), including:
•    Government entities.
•    Regional and international organizations.
•    Research institutions.
•    Media.
•    Individual researchers and scholars.
Key variables most utilized by external users:
•    Quantity of waste supply by type of waste and economic activity.
•    Quantity of waste use by type of waste and economic activity

Completeness 

The data of the Waste Accounts (Environmental-Economic Accounting for Waste) publication are based primarily on administrative records available at the Ministry of Environment, Water and Agriculture, the National Center for Waste Management, and the Ministry of Municipalities and Housing, in addition to statistical surveys conducted by the Authority and secondary data issued by the General Authority for Statistics, to provide comprehensive information on waste. The data status is complete.

Accuracy and reliability 

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

Overall accuracy 

GASTAT contributes to enhancing the quality and reliability of environmental data by monitoring continuous improvement opportunities in updating, compiling, and verifying processes..
The key areas for improvement are:
•    Updating administrative records:
Efforts are undertaken to enhance the accuracy of administrative data by monitoring periodic updates and reducing discrepancies between data received from sources and data published in annual reports or open data, in order to ensure consistency of the reference period across different indicators.
•    Improving compilation processes:
Data compilation methods were developed to ensure consistency between aggregates and details, and to standardize classification methodologies across data-providing entities.
Accuracy and reliability of the data are also ensured through the following procedures:
•    Regular review and auditing of administrative records received from relevant authorities.
•    Verification of consistency between variables.
•    Comparing data over time with previous years to identify any significant changes in values or patterns.
•    Verification of internal consistency to ensure that aggregates match the details.
•    Cross-checking the data with information published by other official sources as supporting data, to compare and verify the accuracy of the data.
•    Implementing multi-stage review procedures before approving the final results to ensure the stability and accuracy of statistical outputs.

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 

GASTAT 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 

Waste Accounts (Environmental-Economic Accounting for Waste) are published in accordance with the release dates approved in the statistical calendar available on the General Authority for Statistics’ website, as per the timeline specified in the statistical calendar.  

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

Data of Waste Accounts (Environmental-Economic Accounting for Waste) at the level of the Kingdom can be compared with those of G20 countries and regional countries that apply environmental-economic accounting for waste.

Comparability - over time 

The Waste Accounts publication was first issued in 2025, and the data are fully comparable over time.  

Coherence- Cross domain

The Waste Accounts product operates within the framework of the United Nations System of Environmental-Economic Accounting (UN-SEEA), which ensures consistency across the scope through the adoption of a unified methodology for compiling, classifying, and tabulating waste data in accordance with international standards. This consistency is achieved through the systematic linkage between waste flows and economic activities by using the approved classifications, such as the International Standard Industrial Classification (ISIC) and the International Classification of Waste Types. In addition, coordination is carried out among the various data sources to ensure comprehensive coverage without duplication.

Coherence- Sub-annual and annual statistics 

Not applicable, as the Waste Accounts publication is issued on an annual basis only.

Coherence- National Accounts 

The same concepts, terminology, and classifications used in the System of National Accounts (SNA) are applied, ensuring full consistency with the national accounts. This consistency is achieved by linking waste flows to the economic units defined in the national accounts, using the International Standard Industrial Classification (ISIC) as a common reference classification. 

Coherence- Internal 

The estimates of Waste Accounts (Environmental-Economic Accounting for Waste) have full internal consistency, as they are all based on the same set of microdata and are calculated using the same estimation methods.

Accessibility and clarity

Users’ ability to access the data, the extent of availability of detailed or aggregated datasets, and the availability of the 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 issues Waste Accounts publications and reports regularly within a pre-prepared dissemination plan, and they are published on the Authority’s website.  GASTAT is keen to publish its publications in a way that serves all users of different types, including publications in different formats that contain (publication tables, data graphs of indicators and data, methodology and quality report, and questionnaires) in both English and Arabic.
The results of the Waste Accounts (Environmental-Economic Accounting for Waste) publication are available on:
Publications

Online database

 Not available.

Microdata accessibility

Not available.

References and standards

The General Authority for Statistics adopts a unified methodology in carrying out all its statistical work, according to the nature of each statistical product.  It relies on the Generic Statistical Business Process Model (GSBPM), which aligns with the procedures adopted by international organizations, and is implemented in coordination with relevant authorities to ensure the quality and efficiency of statistical operations. 
•    For more details, you can refer to the attachment. 
Generic Statistical Business Process Model(GSBPM)

•    The Environmental-Economic Accounting for Waste is based on the Central Framework of the System of Environmental-Economic Accounting, and it can be accessed through the following link:
Central Framework of the System of Environmental-Economic Accounting

Quality assurance

GASTAT adheres to the following principles: Impartiality; user-oriented statistical products; quality of statistical processes and outputs; effectiveness of statistical processes; and minimizing the response burden on respondents. 
Data validation is conducted through quality procedures and controls implemented at different stages of the statistical process, 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 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

The Waste Accounts publication has been included in the statistical calendar.  
​​​​​​​Statistical Calendar​​​​​​​

User accessibility

One of the objectives of the General Authority for Statistics is to better meet its clients’ needs; therefore, it provides them immediately with the results of the publication once the Waste Accounts publication is 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).