26 Dec 2024

Last update 5 / 06 / 2024

Metadata Report of Average Prices of Goods and Services

Methodology Introduction.

First Stage: Scope.

Second Stage: Design.

Third Stage: Organization

Fourth Stage: Data Collection.

Fifth Stage: Classification.

Sixth Stage: Review.

Seventh Stage: Publication

Eighth Stage: Assessment.

Ninth Stage: Management.

 

 

 

 

 

 

 

 

Across all its statistical work, the General Authority for Statistics  (GASTAT)  applies a unified methodology that it adjusts based on the nature of each statistical product. To do that, it uses the Handbook of Statistical Work Procedures, which is in line with internationally approved procedures. Statistical products go through eight major stages, in addition to a ninth stage; the comprehensive “management” stage, as illustrated in the following figure and subsequent explanations:

 

 

 

 

 

 

 

 

 

 

The first three stages  (scope, design and organization)  are collaborative stages between GASTAT and its clients, who are data user development entities. The fourth stage  (data collection)  is a collaborative stage between GASTAT and the statistical population, whether families, businesses or holdings, in order to complete data and information. The remaining phases are statistical stages in which data is classified, reviewed and published. Then, Phase 8 (Evaluation) is carried out with clients. The Management Phase it is an administrative and organizational procedure applied across all phases. These phases have been applied to national account indicators as follows:

The starting point of the preparation of  the (Commodity and Services Average Prices) and  the first shared phase between GASTAT and other stakeholders from relevant entities, represented in (Ministry of commerce and Investment, Consumer protection Association, Ministry of Environment, Water, and Agriculture, Saudi Contractors Authority, and Ministry of Energy, Industry, and Mineral Resources) At this stage, a number of meetings and workshops were held between GASTAT and those entities to understand their needs and requirments.Their feedback were also considered to ensure the realization of all the objectives of the survey, which are:

  1. Measure the changes in commodities and services bought by the consumer.
  2. Can be used in statistical and economic analysis of price movements and future forecasting during different time series.
  3. It helps in estimating the compensations of contractors in government contracts.
  4. Supports the implementation of some appropriate economic decisions by the official authorities through monitoring the movements of average prices of goods and services and its components.
  5. Supports  researchers and investors by knowing the average prices of goods and services in the Kingdom

 

In addition, statistics of this work will meet the requirements of the Saudi Vision 2030, they also cover regional requirements such as: report of prices of a number of food and consuming goods in GCC markets. Also, reports of supply goods in a number of global markets in terms of world production size, trade size, consumption size, and global prices. The followings topics will be published as well:

  1. Reports of investors’ commodities and services.
  2. Report of average prices of constructional goods.
  3. Special reports based on the requests of some government entities.
  4. Release the annual and monthly bulletin.

 

 

During this stage, a complete design for the statistical product in addition to the tools and methods of data collection, statistical community , survey form, sampling units   are all set forth. Beneficiaries are engaged in all these processes to take their feedback into account, so that the product would live up to their expectations.

The most important outcomes of this stage are:

1.     Statistical population:

The target statistical community in Commodity and Services Average Prices consists of all points of sale of goods and services at retail price in the Kingdom.

 

2.     Statistics sources:

Data of the survey is based on the field survey conducted by GaStat on a  monthly  basis and are listed under the classification of (economic statistics). Data is collected in the survey through visiting a sample of  points of sale in  all administrative regions of the Kingdom of Saudi Arabia, as well as completing an electronic questionnaire that includes a number of questions. Estimations and indicators are provided within the survey in relation to  Commodity and Services Average Prices.

 

3.     Concepts and terms of Commodity and Services Average Prices:

3.1.   Goods and services:

Most consumed goods and services by household consumer for living purposes.

3.2.   Points of sale:

Establishments or units from which the price data of goods and services included in the basket of goods are collected, such as retail stores such as grocery stores and clothing stores, as well as various consumer services such as physicians, tailoring, car maintenance, apartments and hotels, Head) and other service shops..

3.3.   Constructional goods:

Main goods that are related to the construction of housing and government contracts (Iron, Cables, etc).

3.4.    Continuity:

To guarantee the continuity of practicing the activity for a long period of time

3.5.    Frequency:

Purchasing movement in the sale point

3.6.   Rate change: 

The rate of change between an existing period and a previous period

3.7.   Calculation equations:

Commodities and services average prices are calculated based on the basis of average. The calculation of the percentage of change in the prices of commodities and services is as follows:

 

Calculation equation

Prices averages

=Total commodity pricing ÷ Number of quotations

Percentage of change

= (Current average-previous period average) ÷ previous average period) x 100

 

4.    Used statistical classification:

Classification is defined as being an arranged set of related categories used for data collection according to similarity. It is the basis for collecting and publishing data in all statistical fields, such as economic activity, products, expenditures, jobs or health, etc. It allows for classifying data and information through putting them into meaningful categories to produce useful statistics, considering that data collection requires precise and methodological arrangement in accordance with their common features so that the statistics can be reliable and comparable.

The price averages program uses the classification of individual consumption according to the purpose (COICOP) with the amendment to the names of the sections to suit the selected items within the department as follows:

Sections Item number

Food and beverages

92

obaccos

1

lothing

10

Constructional goods

38

etergents

4

ealth

3

Maintenance and repair of personal transport

2

Fooder and livestock

14

Hotels and furnished apartments

2

MISCELLANEOUS GOODS AND SERVICES

4
Total 170

 

5.   Design of survey’s questionnaire:

The survey questionnaire was drafted and designed by  prices  statistics experts at GaStat. International recommendations, standards, and definitions were taken into consideration during the design of the questionnaire, which was presented to experts and specialists, as well as to relevant entities to obtain their insights and comments. Questions were redrafted based on a specific scientific approach aimed at unifying question formats used by researchers.  

Geo-assistive data to reach to points of sale such as:

Shop number

Shop name

city

neighbourhood

Neighbourhood number

Sector number

Block number

street

location

Coordinate

A description of the commodity or service to be monitored for its price, specifications and changes occurred, such as:

Item code

Item name

Discreptions

Unit

Price

Analysis code

Comments

The complete questionnaire can be viewed and downloaded through GaStat’s official website

 https://www.stats.gov.sa/ar/988

 
 
After being approved, the survey questionnaire will be transformed into an electronic questionnaire that can be handled through the advanced data collection system using tablet devices. The system has the following features:
  1. Reviewing the work zone of the field researcher (survey sample).
  2. Reaching the sample (establishment) using the map on the tablet device.
  3. Completing data of high quality using data check rules and navigation (to automatically detect input errors and illogical inputs while the completion of the data is underway).
  4. Establishing communication between supervising entities by exchanging comments with field researchers

 

7.   Coverage:

7.1.   Spatial coverage:

Commodity and services average prices bulletin  covers data related to finance and insurance activity in all 13 administrative regions of the Kingdom of Saudi Arabia, which are:  (Riyadh, Makkah, Madinah, Qassim, Eastern Region, Asir, Tabuk, Hail, Northern Borders, Jazan, Najran, Al-Baha, and Al-Jouf). Prices are collected through field visits to specific points of sale.

7.2.   Temporal coverage:

Commodity and services prices basket are collected on a monthly basis.

 

8.    Statistical framework of Commodity and Services Average Prices:

  • The updated 2015 census of the 2010 Establishment Census was used as a list containing all population items
  • The lists, maps and analytical standards of the units were set to choose data providers (establishments).
  • The required descriptive data were identified in order to create the statistical framework, create the test framework, verify them, and use them for the current survey round.

 

9.    Sample design:

Commodities and services are selected based on its importance to households. As for main constructional goods in building dwellings of households and government contracts.

Points of sales were selected based on:

  1. Framework of (points of sale) was used for the consumer price index.
  2. A number of factors are available at the selected points of sale such as: (continuity and frequency)
  3. The spread of points of sale at the level of the city was considered.
  4. The variety of points of sale (hyper market, super market, grocery, specialized shop, and services shop) was also considered.

Sampling units of Commodity and Services Average Prices:

The basic sampling units are the enumeration areas. They are sampling units drawn in the first stage of designing the survey sample. Establishments  (points of sale) are considered secondary and ultimate sampling units at the same time. They are sampling units drawn in the second stage of designing the survey sample. Each secondary sampling unit is considered a part of the basic sampling units.

 

 

It is the final preparation stage and precedes data collection. In this stage, the required workflow procedures are established for preparing Commodity and Services Average Prices, starting with the collection stage and ending with the assessment stage and the organization and grouping of those procedures. The optimal sequence of those procedures is chosen to arrive at a methodology that achieves the goals of the statistical product. A review was made in this stage of the procedures that were taken upon the preparation of the previous version of the survey to develop the work procedures in the current version. Those procedures were also described and documented to facilitate any updates in future rounds. The statistical workflow procedures were tested and examined to ensure their compliance with the requirements of preparing Commodity and Services Average Prices, approve the procedures of the statistical workflow, and develop a roadmap for implementation.

Testing the efficiency of input systems and the process of transmitting, synchronizing and reviewing data through either the tablet or office system of the survey are the main procedures in this stage.

First: The sample of the survey was selected by identifying (a minimum of four points of sale) for each commodity at the level of  city of the targeted selling points as a  chosen  sample representing the survey community in the Kingdom and distributed to all 13 regions of Saudi Arabia.

 

Second: the nominated workers were selected as field researchers who visited the establishments (points of sale) to collect data (average prices of goods and services) based on several practical and objective criteria related to the nature of the work, such as:

  • Educational level.
  • Fieldwork experience.
  •  Personal attributes, such as: good conduct, evidence of senses and physical and psychological fitness.
  • Candidate’s success in the training program of the finance and insurance survey.
  • The candidate shall not be under the age of 20.

 

Third: All candidates (GaStat staff and collaborators from some government entities) were qualified and trained through special training programs as follows:

  • A training program was held for expert staff members in GaStat’s headquarters for one week.
  • Similar training programs were held for collaborating inspectors, observers, and researchers from all the regions of Saudi Arabia. 

The training programs offered to field researchers tasked with collecting commodity and services average prices data include: Practical and hands-on lectures on technical, technological, administrative, and awareness materials that are used in data collection processes. Field researchers are also introduced to the survey’s goals, the data collection method, and how to use maps and reach the holdings. The training programs also include a detailed explanation of all questions on the questionnaire, as well as any technical and administrative tasks. Field researchers are also trained on how to deal with the public and how to ask the questions in record time.

 

At the beginning of the training program, all trainees are provided with tablet devices that enable them to do the following:

  • Read the instruction manual and know its content as it will guide the researcher during the data collection process.
  • Read the electronic questionnaire of the survey and explore how to fill it during pertinent steps of the workshops that accompany the training program.
  • Log in to the “Training Program’s Automated Assessment System”, where the trainees can express their opinions about the training program through assessing its level in order to improve the quality of future training programs.
  • Log in to the “Trainees’ Automated Assessment System” at the end of the training program, which is used to determine the trainees’ comprehension level of the survey’s concepts and instructions.

Staff members are nominated to participate in the survey based on their results that are automatically obtained from the “Trainees’ Automated Assessment System” to guarantee promptness, precision, and impartiality upon appointing the candidates and their competences.

 

Fourth: The method of direct contact with the establishment (point of sale)   was adopted in the process of completing the survey questionnaire and data collection. The field researchers visited the establishments (point of sales) located within the survey sample after arriving at it using the coordinates recorded on the tablets and the guiding maps and introducing themselves and showing official documents proving their statistical identity. They also clarified the aim of their visit, and presented an overview of the survey and its objectives. The  electronic questionnaire was then completed orally through direct contact with the owner of the establishment (point of sale)or any official who is familiar with its affairs

 

Fifth: All field researchers used tablet devices to collect the survey questionnaire data according to a number of criteria:

  1. Adhere to the approved pricing plan in the specifications manual for each program item.
  2. Approving the price of the visit day to the point of sale according to the approved pricing plan for the item.
  3. Follow the specific specifications of each item.

 

Sixth: Field researchers at all work locations in the Kingdom used the “synchronization” feature available on the tablet devices to download and transfer the completed data of the establishments directly to the database linked to them at GaStat’s headquarters where they are stored in a specific way to be reviewed and processed at a later stage.

 

Seventh: Electronic check rules were applied to guarantee the accuracy, consistency, and rationality of the data entered in the finance and insurance survey questionnaire. They are electronic rules that identify contradictions and they were designed by using a logical link between the answers of the questionnaire and its variables to help field researchers directly identify any errors upon completing the survey data with the official in charge of data provision. Those programmed rules don’t allow any mistakes to go through when an answer contradicts with another piece of information or another answer in the questionnaire.

 

Eighth: The collected data were verified through being reviewed by the field researcher, their inspector and the survey supervisor in the supervision area. All work areas were subjected to a monitoring and reviewing process from the Data Quality Room at GaStat’s headquarters. The room also controls and monitors the performance of all working groups in the field during the data collection process, starting from the first day and until the last.

The disaggregation of the raw data of commodity and services average prices relied  on the classification and coding inputs completed during the data collection process, whether they are classified based on the national classification of economic activities, or other classifications such as the distribution of data at the level of administrative regions. Data related to the survey have been displayed in suitable tables to facilitate summarizing, understanding and drawing conclusions from them, as well as comparing them to other data, observing statistical significance as they relate to the study’s population, and viewing data without the need to go back the original questionnaires. These tables contain data such as:  The names and addresses of establishments and the names of data providers in violation of the principle of statistical data confidentiality.

Data is processed at this stage through taking a number of steps:

First: Verifying Data Comprehensiveness and Coherence  

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. Data of the bulletin's current year are compared with the data of the previous year to ensure their integrity and consistency in preparation for processing data and extracting and reviewing results in the stages that follow the disaggregation stage.

 

Second: Data anonymization

To ensure data confidentiality, GaStat removed identifiers from a set of field survey data, such as hiding the name and address of the establishment owner and other identifiers to ensure the protection of people’s privacy.

First: Verifying data outputs 

After reviewing and verifying the accumulated data of the survey, GaStat conducted at this stage processes of calculating and extracting results and uploaded and stored them on the database. The final reviewing processes were conducted by specialists in financial and investment statistics using modern technologies and software designed for the purposes of reviewing and checking.

 

Second: Handling of confidential data

Pursuant to Royal Decree No.23 dated 07/12/1397, GaStat is committed to the absolute confidentiality of all completed data and not using them except for statistical purposes. Therefore, data are safely stored on GaStat’s servers.

No individual data on establishments shall be disclosed in any way or form. Materials set for publication are only limited to grouped statistical tables at the level of the Kingdom, the administrative regions and the major cities depending on their features.

 

 

First: Preparing and setting results for publication

In this stage, GaStat uploaded the data results from the survey database. The Authority then prepared publication tables and graphs for both data and indicators, and added descriptive and methodological information to them. These were prepared in both Arabic and English.

 

Second: Preparing media material and announcing the bulletin’s release date

After GaStat announced the Bulletin’s release date on its official website at the beginning of the calendar year, the Authority prepares the required media materials to announce the Bulletin’s release on all media outlets, as well as its various social media platforms. The announcement will be made on the date set for publication. The bulletin will be published on the official website in various templates of open data in Excel format.

To guarantee its circulation and accessibility to all clients and parties interested in industrial activities, the bulletin is included in the website’s statistics library. 

 

Third: Communicating with clients and providing them with the bulletin

GaStat pays great importance to communicating with clients who use its data. Therefore, GaStat contacts clients upon the release of the survey bulletin to provide them with it. GaStat also receives questions and enquiries from clients regarding the bulletin and its results through various communication channels. Clients can contact GaStat to request data. Questions and inquiries are received via: 

  • GaStat official website: www.stats.gov.sa 
  • GaStat email: info@stats.gov.sa
  • Client Supportemail:  cs@stats.gov.sa
  • Visiting GaStat’s headquarters in Riyadh or one of its branches in the regions of the Kingdom.
  • Official Letters.
  • By Statistical Helpline: (920020081).

 

Fourth: Preserving the published content

GaStat’s Documents and Archives Center stored and archived the data of this bulletin to refer to it at any time on request. GaStat took that step out of its awareness of the importance of electronically preserving those data to easily refer to them when needed.

After the bulletin is released and received by all GaStat’s clients, the clients are contacted again in this stage which allows for assessing the whole statistical process that was carried out, with the aim of constant improvement to obtain high-quality data. The improvements may include methodologies, processes, systems, statistical researchers’ skill and statistical frameworks. This stage is done in collaboration with data users and GaStat’s clients through a number of steps:

First: Collecting measurable assessment inputs

Main comments and remarks are collected and documented from their sources at all stages, including those collected and documented during the collection stage, such as: comments and remarks presented by data collectors and their field supervisors. Also, data collected and documented during the assessment stage such as the remarks deduced by specialists concerned with reviewing, checking and analyzing data collected from the field. Finally, comments and remarks presented by data users are collected and documented after publication, in addition to what is being monitored via media outlets or the clients’ remarks, which GaStat receives through its main channels.

 

Second: Making the assessment

Collected assessment inputs were analyzed, and the results of this analysis were compared with pre-anticipated results. Accordingly, potential improvements and solutions were identified and discussed with experts and concerned parties. In this stage, the performance of clients’ use of the results of the finance and insurance survey and their satisfaction with it is measured. Based on that, recommendations are developed to enhance the quality of the results of the next finance and insurance survey.

A comprehensive stage that spans over all the stages of producing the survey. This stage determines the general production plan, including the feasibility study, risk management, means of funding, disbursement mechanisms, as well as developing performance indicators, quality parameters, human resources map necessary for production, following up on the execution of tasks assigned to all departments in every stage, and making reports to ensure that the GaStat fulfills its commitments towards its clients.

عنوان الملف: 
Metadata Report of Average Prices of Goods and Services
نوع الصفحة: 
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