Abstract
OVERALL ASSESSMENT 1. Oman began to participate in the General Data Dissemination System (GDDS) in 2002 and started posting its metadata on the Dissemination Standards Bulletin Board (DSBB) in June of the same year. Oman meets the GDDS good practices for data coverage, periodicity, and timeliness with a few exceptions including the timeliness of the first annual estimate of GDP in volume terms, which is available eleven months after the reference period. Graduation to the Special Data Dissemination Standard (SDDS) would require stronger and sustained effort to enhance data collection and to strengthen the legal framework for the production of macroeconomic statistics, as set out in the recommendations ahead. Appendix I provides an overview of Oman's dissemination practices compared to the GDDS. 2. This report provides an update of the assessment conducted in February 2004, which was based on the 2003 version of the IMF’s Data Quality Assessment Framework (DQAF). This report uses the May 2012 version of the DQAF, and provides an assessment of Oman’s national accounts (NA), consumer price index (CPI), producer price index (PPI), government finance statistics (GFS), monetary statistics, and external sector statistics (ESS). The three agencies that produce these statistics are the National Center for Statistics and Information (NCSI), the Central Bank of Oman (CBO), and the Ministry of Finance (MOF). The NCSI and the CBO disseminate data as distinct statistical outputs. The MOF produces GFS for dissemination by the NCSI as an input to macroeconomic statistics, but not as a distinct statistical output. 3. Oman has made significant progress in the compilation and dissemination of macroeconomic statistics since the 2004 ROSC mission. The main progress has been achieved in monetary statistics, price indices, and balance of payments, in particular the introduction of the PPI, and improvements in data relevance, transparency, classification, and sectorization. Also of great significance are the establishment of the NCSI as an autonomous statistical institution on May 26, 2012, (Royal Decree No. 31/2012) and an elaboration of its duties in August 2014. Among the NCSI’s main duties is the “technical supervision of the management and organization of statistics and information activities in Oman” (Royal Decree No. 40/2014). Table 1 provides an indication of areas of progress.
Overall Assessment
1. Oman began to participate in the General Data Dissemination System (GDDS) in 2002 and started posting its metadata on the Dissemination Standards Bulletin Board (DSBB) in June of the same year. Oman meets the GDDS good practices for data coverage, periodicity, and timeliness with a few exceptions including the timeliness of the first annual estimate of GDP in volume terms, which is available eleven months after the reference period. Graduation to the Special Data Dissemination Standard (SDDS) would require stronger and sustained effort to enhance data collection and to strengthen the legal framework for the production of macroeconomic statistics, as set out in the recommendations ahead. Appendix I provides an overview of Oman’s dissemination practices compared to the GDDS.
2. This report provides an update of the assessment conducted in February 2004, which was based on the 2003 version of the IMF’s Data Quality Assessment Framework (DQAF). This report uses the May 2012 version of the DQAF, and provides an assessment of Oman’s national accounts (NA), consumer price index (CPI), producer price index (PPI), government finance statistics (GFS), monetary statistics, and external sector statistics (ESS). The three agencies that produce these statistics are the National Center for Statistics and Information (NCSI), the Central Bank of Oman (CBO), and the Ministry of Finance (MOF). The NCSI and the CBO disseminate data as distinct statistical outputs. The MOF produces GFS for dissemination by the NCSI as an input to macroeconomic statistics, but not as a distinct statistical output.
3. Oman has made significant progress in the compilation and dissemination of macroeconomic statistics since the 2004 ROSC mission. The main progress has been achieved in monetary statistics, price indices, and balance of payments, in particular the introduction of the PPI, and improvements in data relevance, transparency, classification, and sectorization. Also of great significance are the establishment of the NCSI as an autonomous statistical institution on May 26, 2012, (Royal Decree No. 31/2012) and an elaboration of its duties in August 2014. Among the NCSI’s main duties is the “technical supervision of the management and organization of statistics and information activities in Oman” (Royal Decree No. 40/2014). Table 1 provides an indication of areas of progress.
Oman: Data Quality Assessment Framework 2012—Summary Results
Key to symbols: O = Practice Observed; LO = Practice Largely Observed; LNO =Practice Largely Not Observed; NO = Practice Not Observed; NA = Not Applicable;
Oman: Data Quality Assessment Framework 2012—Summary Results
Key to symbols: O = Practice Observed; LO = Practice Largely Observed; LNO =Practice Largely Not Observed; NO = Practice Not Observed; NA = Not Applicable;
| Datasets | National Accounts | Consumer Price Index | Producer Price Index | Government Finance Statistics | Monetary Statistics | Balance of Payments Statistics |
|---|---|---|---|---|---|---|
| Dimensions/Elements | ||||||
| 0. Prerequisites of quality | ||||||
| 0.1 Legal and institutional environment | LNO | LNO | LNO | LNO | LO | LO |
| 0.2 Resources | LO | O | LO | LO | O | LO |
| 0.3 Relevance | LO | LO | LO | O | O | O |
| 0.4 Other quality management | O | O | O | O | O | O |
| 1. Assurances of integrity | ||||||
| 1.1 Institutional integrity | O | O | O | O | O | O |
| 1.2 Transparency | LO | LO | LO | LO | LO | O |
| 1.3 Ethical standards | O | O | O | O | O | O |
| 2. Methodological soundness | ||||||
| 2.1 Concepts and definitions | LO | O | O | LO | O | LO |
| 2.2 Scope | LO | LO | LO | LNO | LO | LO |
| 2.3 Classification/sectorization | LO | O | LO | LO | O | LO |
| 2.4 Basis for recording | LO | LO | O | LO | O | LO |
| 3. Accuracy and reliability | ||||||
| 3.1 Source data | LO | LO | LO | O | O | LO |
| 3.2 Assessment of source data | O | O | O | O | O | O |
| 3.3 Statistical techniques | LO | O | LO | O | O | LO |
| 3.4 Assessment and validation of intermediate data and statistical outputs | O | O | O | O | O | O |
| 3.5 Revision studies | LNO | O | NA | O | LO | LO |
| 4. Serviceability | ||||||
| 4.1 Periodicity and timeliness | LO | O | LNO | LO | O | LO |
| 4.2 Consistency | O | LO | O | LO | O | O |
| 4.3 Revision policy and practice | LO | LNO | LNO | O | O | O |
| 5. Accessibility | ||||||
| 5.1 Data accessibility | LO | LO | LO | LO | LO | LO |
| 5.2 Metadata accessibility | LO | LO | LO | LNO | O | LO |
| 5.3 Assistance to users | O | O | O | O | O | O |
Oman: Data Quality Assessment Framework 2012—Summary Results
Key to symbols: O = Practice Observed; LO = Practice Largely Observed; LNO =Practice Largely Not Observed; NO = Practice Not Observed; NA = Not Applicable;
| Datasets | National Accounts | Consumer Price Index | Producer Price Index | Government Finance Statistics | Monetary Statistics | Balance of Payments Statistics |
|---|---|---|---|---|---|---|
| Dimensions/Elements | ||||||
| 0. Prerequisites of quality | ||||||
| 0.1 Legal and institutional environment | LNO | LNO | LNO | LNO | LO | LO |
| 0.2 Resources | LO | O | LO | LO | O | LO |
| 0.3 Relevance | LO | LO | LO | O | O | O |
| 0.4 Other quality management | O | O | O | O | O | O |
| 1. Assurances of integrity | ||||||
| 1.1 Institutional integrity | O | O | O | O | O | O |
| 1.2 Transparency | LO | LO | LO | LO | LO | O |
| 1.3 Ethical standards | O | O | O | O | O | O |
| 2. Methodological soundness | ||||||
| 2.1 Concepts and definitions | LO | O | O | LO | O | LO |
| 2.2 Scope | LO | LO | LO | LNO | LO | LO |
| 2.3 Classification/sectorization | LO | O | LO | LO | O | LO |
| 2.4 Basis for recording | LO | LO | O | LO | O | LO |
| 3. Accuracy and reliability | ||||||
| 3.1 Source data | LO | LO | LO | O | O | LO |
| 3.2 Assessment of source data | O | O | O | O | O | O |
| 3.3 Statistical techniques | LO | O | LO | O | O | LO |
| 3.4 Assessment and validation of intermediate data and statistical outputs | O | O | O | O | O | O |
| 3.5 Revision studies | LNO | O | NA | O | LO | LO |
| 4. Serviceability | ||||||
| 4.1 Periodicity and timeliness | LO | O | LNO | LO | O | LO |
| 4.2 Consistency | O | LO | O | LO | O | O |
| 4.3 Revision policy and practice | LO | LNO | LNO | O | O | O |
| 5. Accessibility | ||||||
| 5.1 Data accessibility | LO | LO | LO | LO | LO | LO |
| 5.2 Metadata accessibility | LO | LO | LO | LNO | O | LO |
| 5.3 Assistance to users | O | O | O | O | O | O |
4. Recognizing the need for Oman to move to higher data standards, this report also identifies shortcomings in statistical practices and products that remain to be addressed. These include the need to strengthen the legal and institutional framework to support the effective compilation and dissemination of macroeconomic statistics; the need to improve the scope of GFS and ESS, the consistency of PPI, the accessibility of GFS metadata, and to conduct revision studies.
5. Section II provides a summary assessment by agency and data set, based on a four-point rating scale. This is followed by staff’s recommendations in Section III. Appendix I provides a summary of practices compared to the GDDS. The authorities’ response to this report and a volume of detailed assessments are presented in separate documents. The remainder of this section presents the mission’s main conclusions. The presentation follows the level of the DQAF’s quality dimensions, by agency for the first two dimensions, and across datasets for the remaining four.
6. Legal Environment: The three data producing agencies in Oman (CBO, MOF, and NCSI) rely on several laws that have supported the compilation and dissemination of official statistics over the years. The compilation of data within the CBO is guided by the Banking Law and within the MOF by the Financial Law. The NCSI relies on the Statistical Law, which vested statistical responsibilities in the former Ministry of National Economy that was dissolved in 2011. With the establishment of the NCSI as an autonomous entity responsible for, inter alia, supervising the management and organization of statistics and information activities, there is an urgent need to update the existing Statistical Law to provide the NCSI with an adequate legal mandate to execute its duties and responsibilities. There is a case to consider strengthening the legal mandate with a view to formally assign the CBO with the responsibility to compile and disseminate monetary and external sector statistics. Similarly, there is a need to amend the Financial Law to provide the MOF with the flexibility to disseminate GFS in an additional and separate format than the State’s Final Account as a statistical output with the required timeliness and periodicity. The current Financial Law inhibits this process as it allows MOF to disseminate annual budgetary expenditure and revenue only six months after the reference year.
7. Institutional Environment: The existing data-sharing arrangements between government institutions, including CBO, are well-coordinated, but consistency checks of shared data could be formalized and secured via legal mechanisms. The envisaged amendment of the current Statistical Law provides a good opportunity to address some key statistical constraints, namely the coordination of data collection, the classification, and the validation to ensure methodological consistency across datasets. Resources in the three data producing agencies are broadly commensurate with existing statistical programs. However, with the growing needs for high frequency data, as well as the need to implement new international standards, the number of staff working in some statistical areas may need to be augmented. Monitoring the relevance of statistics through user feedback is broadly appropriate, but could be strengthened especially for national accounts. The recently established processes (by CBO and NCSI) to focus on quality management, including measures to monitor and review the quality of ongoing activities are to be commended. Staff are well motivated and provided with opportunities to expand their knowledge and skills.
8. Assurances of Integrity: All three data producing agencies demonstrate professionalism, are transparent in their practices, and provide guidelines on ethical conduct to their staff. The choice of source data, methodologies, and statistical techniques is based on measurement objectives and data requirements. Transparency is fostered by public availability of the Banking Law, the Financial Law, and the Statistical Law. The extent of internal government access to statistics prior to their public release is disclosed in the GDDS metadata. Clear and comprehensive ethical standards are set out in the CBO’s Code of Ethics and Staff Regulations, and the Civil Service Law, which stipulates, among other issues, the conduct expected of all civil servants and responsibilities applicable to MOF and NCSI staff. Areas for further improvement include announcing upcoming statistical releases to ensure equal access for users, and disclosing the principles under which selected users receive prior access to official statistics. These issues can be addressed via publication and maintenance of relevant material on the NCSI website.
9. Methodological Soundness: The implementation of the 2004 ROSC mission recommendations has led to improvements in methodology applied to statistics. National accounts, price indices, monetary statistics, and balance of payments, broadly follow internationally accepted guidelines in terms of concepts and definitions, classifications and sectorization, and basis for recording. The GFS are yet to be prepared with the full scope of general government. Work is ongoing within the MOF to transition the Chart of Accounts to the Government Finance Statistics Manual 2001 (GFSM2001) around 2017, and in the NCSI to align with the minimum data requirements determined by the Inter-Secretariat Working Group on National Accounts (ISWGNA). Furthermore, the scope of monetary statistics could be improved by including Islamic banks that meet the definition of other depository corporations; and balance of payments by expanding coverage to include financial transactions of the nonfinancial private sector.
10. Accuracy and Reliability: Source data and processes for validating data, collected for the macroeconomic datasets, are broadly adequate. The techniques for benchmarking in national accounts need to be improved to produce a reliable time series. While the compilation of ESS employs sound statistical techniques, source data need to be augmented to cover the full scope of all transactions via the banking system, financial transactions of the nonfinancial private sector, and stocks data. So too, is the need to augment some of the benchmarks and measures taken to update and adjust the source data for balance of payments, and the need to conduct formal revision studies to test reliability of statistics. For the PPI, the source data for weights and samples are outdated, and the replacement of disappearing items and establishments should be made a routine practice.
11. Serviceability: The periodicity and timeliness of CPI, GFS, monetary statistics, and balance of payments meet the GDDS requirements. However, national accounts and PPI are yet to meet the GDDS requirements for periodicity and timeliness—the first annual estimate of GDP in volume terms is published approximately eleven months after the reference period and PPI is produced quarterly. Priority areas for further improvement include, the dissemination of quarterly balance of payments statistics, international investment position (IIP) data; and national accounts based on GDDS requirements for periodicity and timeliness. The need for this improvement was echoed by respondents in a survey of key users (User Survey), conducted prior to this ROSC mission. Users indicated significant lags in the publication of data that constrain monitoring and analytical work on current economic trends.
12. Accessibility: Accessibility of the official statistics has improved considerably since the 2004 ROSC. All the six data sets covered in this report are readily available to the public and are accompanied by suitable documentation. Serviceability to users is broadly adequate and includes clear identification of contact details in all publications and websites. Areas for further improvement include publication and maintenance of key documentation in several areas such as concordances, sources and methods; and general dissemination policy on various websites to enhance accessibility. So too, is the need to create a centralized data portal accessible to users, publish data at a more granular level with a longer time series, and to keep metadata on the IMF’s Dissemination Standards Bulletin Board (DSBB) up-to-date. The current strategy employed by the CBO and the NCSI towards electronic online databases is a step in the right direction.
Assessment by Agency and Dataset
13. Assessment of the quality of six macroeconomic datasets was conducted using the DQAF 2012. In this section, the results are presented at the level of the DQAF elements using a four-point rating scale (Table 1). Table 1 also shows areas of improvements compared to the 2004 ROSC ratings. Assessments of the prerequisites of data quality and the assurances of integrity (Dimensions “0” and “1” of the DQAF) are presented in Tables 2a–c. For each dataset, the assessment of methodological soundness, accuracy and reliability, serviceability, and accessibility (Dimensions “2” to “5” of the DQAF) are shown in Tables 3a–f.
Oman: Assessment of Data Quality—Dimensions 0 and 1—Central Bank of Oman
Oman: Assessment of Data Quality—Dimensions 0 and 1—Central Bank of Oman
| 0. Prerequisites of quality | 1. Assurances of integrity |
|---|---|
| Legal and institutional environment The compilation of external sector statistics (ESS) and monetary statistics is supported by the Banking Law (Royal Decree No. 114/ 2000, December 2000 that was amended by Royal decree 69/2012 dated December 6, 2012) and Statistical Law (Royal Decree No. 21/2001), which includes: (i) provisions that empower the CBO to collect data from the central bank and banks, but does not explicitly mandate data collection from non-financial corporations; and (ii) provisions that govern the confidentiality of individual data, including sanction. Application of Statistical Law to the CBO macroeconomic data collection and dissemination would be further reinforced by explicit recognition in the Banking Law of the CBO responsibility to compile and disseminate ESS and monetary statistics. Inter-agency cooperation is broadly adequate; however the CBO legal mandate can be further strengthened. Resources Staff resources allocated to compilation of monetary statistics is sufficient to perform existing tasks. Increase in staff resources is needed for development of external sector stock data and implementation of new international standards. Elaborated CBO annual performance review procedures, talent management and knowledge exchange initiatives together with extensive training programs enhance efficient use of human resources. Computer and financial resources are adequate. Relevance There is an ongoing process to monitor market developments and identify gaps in data collection. The CBO regularly conducts seminars targeted at principal data users, which include academia, to inform them of the specific aspects of current data, the usefulness of existing statistics, and to identify emerging data needs. From these seminars, the CBO received feedbacks and monitors the usability of the published ESS and monetary statistics. Updates to international standards are also monitored (e.g., an action plan exists for BPM6 implementation). Other quality management The CBO vision emphasizes the provision of timely statistics without compromising the quality. CBO managers are aware of the trade-offs between accuracy and timeliness of statistics, in the event of a trade-off between timeliness and accuracy/reliability, the latter is given priority. The CBO has implemented all of the key recommendations on monetary statistics made by the 2004 ROSC. | Institutional integrity Statutory provisions in the Banking Law (Article 6 and Article 8A) provide the legal basis for institutional independence and professionalism followed by the Code of Ethics that states that employees shall apply their professional skills, judgment, care, and due diligence to the best of their ability at all times with honesty and integrity, and hold these above personal considerations. In 2012, the integrity of statistical compilation was further reinforced by establishing the NCSI as the major source data provider agency for ESS. The choice of sources and methods is based solely on statistical considerations. Transparency Public availability of the Banking Law and the Statistical Law foster transparency. Somewhat limited written information is available to the public about the terms and conditions under which the statistical series are compiled on the DSBB website. However, staff are available to respond to specific inquiries regarding metadata. The acknowledgement of internal governmental access to statistics prior to their release is available on DSBB website. Data released to the public are clearly identified as the product of specific data producing agency. For monetary statistics, advance notice is not usually provided to the public to inform of major changes in methodology, source data, and statistical techniques. For ESS, the CBO has introduced the practice to provide formal advance notice of major changes in methodology or source data. Ethical standards The CBO has a comprehensive set of ethical standards outlined in the CBO Code of Ethics complemented by the CBO Staff Regulation. Both regulations are available to all staff. Any conflicts are resolved via the CBO Grievances Committee. |
Oman: Assessment of Data Quality—Dimensions 0 and 1—Central Bank of Oman
| 0. Prerequisites of quality | 1. Assurances of integrity |
|---|---|
| Legal and institutional environment The compilation of external sector statistics (ESS) and monetary statistics is supported by the Banking Law (Royal Decree No. 114/ 2000, December 2000 that was amended by Royal decree 69/2012 dated December 6, 2012) and Statistical Law (Royal Decree No. 21/2001), which includes: (i) provisions that empower the CBO to collect data from the central bank and banks, but does not explicitly mandate data collection from non-financial corporations; and (ii) provisions that govern the confidentiality of individual data, including sanction. Application of Statistical Law to the CBO macroeconomic data collection and dissemination would be further reinforced by explicit recognition in the Banking Law of the CBO responsibility to compile and disseminate ESS and monetary statistics. Inter-agency cooperation is broadly adequate; however the CBO legal mandate can be further strengthened. Resources Staff resources allocated to compilation of monetary statistics is sufficient to perform existing tasks. Increase in staff resources is needed for development of external sector stock data and implementation of new international standards. Elaborated CBO annual performance review procedures, talent management and knowledge exchange initiatives together with extensive training programs enhance efficient use of human resources. Computer and financial resources are adequate. Relevance There is an ongoing process to monitor market developments and identify gaps in data collection. The CBO regularly conducts seminars targeted at principal data users, which include academia, to inform them of the specific aspects of current data, the usefulness of existing statistics, and to identify emerging data needs. From these seminars, the CBO received feedbacks and monitors the usability of the published ESS and monetary statistics. Updates to international standards are also monitored (e.g., an action plan exists for BPM6 implementation). Other quality management The CBO vision emphasizes the provision of timely statistics without compromising the quality. CBO managers are aware of the trade-offs between accuracy and timeliness of statistics, in the event of a trade-off between timeliness and accuracy/reliability, the latter is given priority. The CBO has implemented all of the key recommendations on monetary statistics made by the 2004 ROSC. | Institutional integrity Statutory provisions in the Banking Law (Article 6 and Article 8A) provide the legal basis for institutional independence and professionalism followed by the Code of Ethics that states that employees shall apply their professional skills, judgment, care, and due diligence to the best of their ability at all times with honesty and integrity, and hold these above personal considerations. In 2012, the integrity of statistical compilation was further reinforced by establishing the NCSI as the major source data provider agency for ESS. The choice of sources and methods is based solely on statistical considerations. Transparency Public availability of the Banking Law and the Statistical Law foster transparency. Somewhat limited written information is available to the public about the terms and conditions under which the statistical series are compiled on the DSBB website. However, staff are available to respond to specific inquiries regarding metadata. The acknowledgement of internal governmental access to statistics prior to their release is available on DSBB website. Data released to the public are clearly identified as the product of specific data producing agency. For monetary statistics, advance notice is not usually provided to the public to inform of major changes in methodology, source data, and statistical techniques. For ESS, the CBO has introduced the practice to provide formal advance notice of major changes in methodology or source data. Ethical standards The CBO has a comprehensive set of ethical standards outlined in the CBO Code of Ethics complemented by the CBO Staff Regulation. Both regulations are available to all staff. Any conflicts are resolved via the CBO Grievances Committee. |
Oman: Assessment of Data Quality—Dimensions 0 and 1—Ministry of Finance
Oman: Assessment of Data Quality—Dimensions 0 and 1—Ministry of Finance
| 0. Prerequisites of quality | 1. Assurances of integrity |
|---|---|
| Legal and institutional environment The responsibility to collect, process, and disseminate fiscal data of government is clearly assigned in the Financial Law, Royal Decree No. 47/98. The Statistical Law (Royal Decree No 29/2001,) does not support the MOF with the authority to collect data from government units. Resources None of the current MOF officials have attended an IMF course based on Government Finance Statistics Manual 2001; however the staff is well trained for their current needs. The MOF has no dedicated statistical positions for the compilation of GFS. Recently the Civil Service Law was revised, whereby conditions of employment are determined evenly across ministries and no longer at the discretion of ministries. This has increased the attractiveness of the MOF as employer and reduced staff turnover. Efficient use of resources is ensured through sound performance management, evaluations and training. Relevance The relevance of fiscal data is illustrated by the MOF, Ministry of Planning, line ministries, and other policymakers (including the CBO) who use these data while determining, monitoring, and evaluating fiscal policy. Fiscal data produced by the MOF are also used by the Fund for surveillance purposes. User needs other than that of government are not actively sought. Other quality management Quality management is well exercised by the MOF, including measures to control and audit all relevant processes. | Institutional integrity The Financial Law (Royal Decree No. 47/98) assigns the responsibility for compiling government accounts. The State Audit Law (Royal Decree No. 112/2011) and the Protection of Public Property and Preventing of Conflict of Interest Law (Royal Decree No. 112/2011) strengthen the controls on the compilation of data and the required integrity of staff. The Ministry of Civil Services appoints staff through an open public enrollment process that includes a targeted skills assessment. Professionalism is actively promoted and supported through formal and on-the-job training of staff and continued participation in seminars, courses, and workshops arranged by regional and international organizations. Transparency The methodology according to which fiscal statistics are compiled is promoted by wide availability of the Financial Law and regulations related to the budgeting and planning process. The MOF issues financial circulars every year to spell out budgeting processes and the terms and conditions for compiling government accounts. Fiscal data are well identified as being compiled by the MOF. However, the extent of internal government access to statistics prior to their release to the public is not publicly identified and no advance notice is given of methodological changes. Ethical standards Ethical standards are supported through the legal framework applicable to all government employees. Government employees are subject to a code of conduct. Sound management and cultural practices, as well as mentoring and peer review, ensure that staff are regularly reminded of the behavior expected of them. |
Oman: Assessment of Data Quality—Dimensions 0 and 1—Ministry of Finance
| 0. Prerequisites of quality | 1. Assurances of integrity |
|---|---|
| Legal and institutional environment The responsibility to collect, process, and disseminate fiscal data of government is clearly assigned in the Financial Law, Royal Decree No. 47/98. The Statistical Law (Royal Decree No 29/2001,) does not support the MOF with the authority to collect data from government units. Resources None of the current MOF officials have attended an IMF course based on Government Finance Statistics Manual 2001; however the staff is well trained for their current needs. The MOF has no dedicated statistical positions for the compilation of GFS. Recently the Civil Service Law was revised, whereby conditions of employment are determined evenly across ministries and no longer at the discretion of ministries. This has increased the attractiveness of the MOF as employer and reduced staff turnover. Efficient use of resources is ensured through sound performance management, evaluations and training. Relevance The relevance of fiscal data is illustrated by the MOF, Ministry of Planning, line ministries, and other policymakers (including the CBO) who use these data while determining, monitoring, and evaluating fiscal policy. Fiscal data produced by the MOF are also used by the Fund for surveillance purposes. User needs other than that of government are not actively sought. Other quality management Quality management is well exercised by the MOF, including measures to control and audit all relevant processes. | Institutional integrity The Financial Law (Royal Decree No. 47/98) assigns the responsibility for compiling government accounts. The State Audit Law (Royal Decree No. 112/2011) and the Protection of Public Property and Preventing of Conflict of Interest Law (Royal Decree No. 112/2011) strengthen the controls on the compilation of data and the required integrity of staff. The Ministry of Civil Services appoints staff through an open public enrollment process that includes a targeted skills assessment. Professionalism is actively promoted and supported through formal and on-the-job training of staff and continued participation in seminars, courses, and workshops arranged by regional and international organizations. Transparency The methodology according to which fiscal statistics are compiled is promoted by wide availability of the Financial Law and regulations related to the budgeting and planning process. The MOF issues financial circulars every year to spell out budgeting processes and the terms and conditions for compiling government accounts. Fiscal data are well identified as being compiled by the MOF. However, the extent of internal government access to statistics prior to their release to the public is not publicly identified and no advance notice is given of methodological changes. Ethical standards Ethical standards are supported through the legal framework applicable to all government employees. Government employees are subject to a code of conduct. Sound management and cultural practices, as well as mentoring and peer review, ensure that staff are regularly reminded of the behavior expected of them. |
Oman: Assessment of Data Quality—Dimensions 0 and 1—National Center for Statistics and Information (NCSI)
Oman: Assessment of Data Quality—Dimensions 0 and 1—National Center for Statistics and Information (NCSI)
| 0. Prerequisites of quality | 1. Assurances of integrity |
|---|---|
| Legal and institutional environment Royal Decree No. 31/2012 establishes the NCSI as an autonomous national statistics office while the historical Statistical Law (Royal Decree No. 29/2001) establishes the authority for coordination, collection, processing, and disseminating national statistics in Oman. Amendments are required to vest the Statistical Law’s authority within the NCSI as no effective Statistical Law currently exists. Data sharing and coordination is largely adequate and functions due to informal relationships without formal documentation. The mission observed the NCSI’s compliance with its legal obligations and work undertaken to encourage effective statistical reporting by respondents. Further work is recommended to improve reporting respondent burden to inform future planning. Resources Staff, facilities, computing resources, and financing are commensurate with the current statistical program. Further resources from government are required to expand the national accounts to meet future policy analysis. The NCSI is developing appropriate Key Performance Indicators (KPIs) to improve staff performance. Relevance The NCSI actively engages with government and regional users such as GCC-Stat. There is minimal consultation with key users outside of government. The mission recommends establishment of a representative user advisory group for macroeconomic statistics. Other quality management Quality is managed via existing informal relationships and minimal formal management information and material is available. No training program. | Institutional integrity Royal Decree No. 31/2012 supports professional independence by establishing NCSI as an autonomous statistical agency. Staff are appointed based on merits and capabilities. The NCSI agency head (Executive Director) is appointed by the Sultan of Oman and established via a Royal Decree. The choice of data sources is based on statistical considerations only, and statistics are disseminated according to their availability. Transparency The historical Statistical Law is available upon request in hardcopy, both in Arabic and English; however, the Statistical Law does not apply to the NCSI. All publications clearly identify the NCSI as the source, and there is a small volume of government access to statistics prior to public release, of which the public is not informed. Advance notice is given of significant changes to the statistics. Ethical standards Staff behavior is guided by the rules and regulations of the Oman civil service. Royal Decrees No. 101/96 and 39/82 establish terms and conditions for the conduct of staff, and specify sanctions for participation in political events etc. Penalties include salary deductions and/or dismissal. There are no formal procedures for staff to encourage the adoption of these rules, such as signing a corresponding undertaking. |
Oman: Assessment of Data Quality—Dimensions 0 and 1—National Center for Statistics and Information (NCSI)
| 0. Prerequisites of quality | 1. Assurances of integrity |
|---|---|
| Legal and institutional environment Royal Decree No. 31/2012 establishes the NCSI as an autonomous national statistics office while the historical Statistical Law (Royal Decree No. 29/2001) establishes the authority for coordination, collection, processing, and disseminating national statistics in Oman. Amendments are required to vest the Statistical Law’s authority within the NCSI as no effective Statistical Law currently exists. Data sharing and coordination is largely adequate and functions due to informal relationships without formal documentation. The mission observed the NCSI’s compliance with its legal obligations and work undertaken to encourage effective statistical reporting by respondents. Further work is recommended to improve reporting respondent burden to inform future planning. Resources Staff, facilities, computing resources, and financing are commensurate with the current statistical program. Further resources from government are required to expand the national accounts to meet future policy analysis. The NCSI is developing appropriate Key Performance Indicators (KPIs) to improve staff performance. Relevance The NCSI actively engages with government and regional users such as GCC-Stat. There is minimal consultation with key users outside of government. The mission recommends establishment of a representative user advisory group for macroeconomic statistics. Other quality management Quality is managed via existing informal relationships and minimal formal management information and material is available. No training program. | Institutional integrity Royal Decree No. 31/2012 supports professional independence by establishing NCSI as an autonomous statistical agency. Staff are appointed based on merits and capabilities. The NCSI agency head (Executive Director) is appointed by the Sultan of Oman and established via a Royal Decree. The choice of data sources is based on statistical considerations only, and statistics are disseminated according to their availability. Transparency The historical Statistical Law is available upon request in hardcopy, both in Arabic and English; however, the Statistical Law does not apply to the NCSI. All publications clearly identify the NCSI as the source, and there is a small volume of government access to statistics prior to public release, of which the public is not informed. Advance notice is given of significant changes to the statistics. Ethical standards Staff behavior is guided by the rules and regulations of the Oman civil service. Royal Decrees No. 101/96 and 39/82 establish terms and conditions for the conduct of staff, and specify sanctions for participation in political events etc. Penalties include salary deductions and/or dismissal. There are no formal procedures for staff to encourage the adoption of these rules, such as signing a corresponding undertaking. |
Oman: Assessment of Data Quality—Dimensions 2 and 5—National Accounts
Oman: Assessment of Data Quality—Dimensions 2 and 5—National Accounts
| 2. Methodological soundness | 3. Accuracy and reliability | 4. Serviceability | 5. Accessibility |
|---|---|---|---|
| Concepts and definitions The national accounts statistics are compiled according to the 1993 SNA. The NCSI is currently developing plans for implementation of the 2008 SNA. Scope Oman’s national accounts comprise a subset of the minimum requirement specified by ISWGNA. Documentation outlining deviations from the international standard is not available. Classification/sectorization The elemental classifications underpinning Oman’s national accounts are consistent with historical versions of international standards. The mission understands deviations from the international reference classifications are minimal. Basis for recording Most transactions are recorded on a basis consistent with the 2008 SNA. Transactions involving general government are derived from GFS which is cash based. | Source data Source data are broadly suitable for compiling national accounts. Government Finance Statistics need to be moved to an accrual basis. The implementation of PPIs for deflating national accounts is a laudable achievement. Assessment of source data Accuracy of source data is broadly suitable. Assessment is routinely undertaken. Statistical techniques Statistical techniques generally support estimates consistent with 1993 SNA. The double indicator method is used to derive industry value added in many industries; however the deflation of net taxes on products needs attention. Additional development to support the 2008 SNA is required. The existing methodology to derive quarterly national accounts should be replaced with the international standard. Assessment and validation of intermediate data and statistical outputs Validation of intermediate data and outputs is undertaken and generally suitable. This has improved from the 2004 ROSC due to the implementation of SUT. Revision studies No revision studies are currently conducted and this should be addressed. | Periodicity and timeliness The timeliness of Oman’s national accounts does not meet the requirements of GDDS (nine months after the reference period) as volume estimates of GDP are first published eleven months after the reference period. Consistency Oman’s annual national accounts are consistent throughout the published time series commencing in 1998. Data can be reconciled with other macroeconomic statistics including balance of payments. Revision policy and practice Revisions to national accounts are undertaken according to an established timeframe. This timetable should be published. Revision analyses are not undertaken. | Data accessibility National accounts are accessible through the NCSI website and supported by a web based client servicing. Internal government users obtain access prior to release. The principles and process for prior access should be published. Metadata accessibility Oman’s national accounts include summary detail of data sources, however detailed information on the methods employed is lacking. GDDS metadata requires updating. Assistance to users Free user assistance is available via the web-based client service tool. Management information is required to assess the effectiveness of the current arrangements. |
Oman: Assessment of Data Quality—Dimensions 2 and 5—National Accounts
| 2. Methodological soundness | 3. Accuracy and reliability | 4. Serviceability | 5. Accessibility |
|---|---|---|---|
| Concepts and definitions The national accounts statistics are compiled according to the 1993 SNA. The NCSI is currently developing plans for implementation of the 2008 SNA. Scope Oman’s national accounts comprise a subset of the minimum requirement specified by ISWGNA. Documentation outlining deviations from the international standard is not available. Classification/sectorization The elemental classifications underpinning Oman’s national accounts are consistent with historical versions of international standards. The mission understands deviations from the international reference classifications are minimal. Basis for recording Most transactions are recorded on a basis consistent with the 2008 SNA. Transactions involving general government are derived from GFS which is cash based. | Source data Source data are broadly suitable for compiling national accounts. Government Finance Statistics need to be moved to an accrual basis. The implementation of PPIs for deflating national accounts is a laudable achievement. Assessment of source data Accuracy of source data is broadly suitable. Assessment is routinely undertaken. Statistical techniques Statistical techniques generally support estimates consistent with 1993 SNA. The double indicator method is used to derive industry value added in many industries; however the deflation of net taxes on products needs attention. Additional development to support the 2008 SNA is required. The existing methodology to derive quarterly national accounts should be replaced with the international standard. Assessment and validation of intermediate data and statistical outputs Validation of intermediate data and outputs is undertaken and generally suitable. This has improved from the 2004 ROSC due to the implementation of SUT. Revision studies No revision studies are currently conducted and this should be addressed. | Periodicity and timeliness The timeliness of Oman’s national accounts does not meet the requirements of GDDS (nine months after the reference period) as volume estimates of GDP are first published eleven months after the reference period. Consistency Oman’s annual national accounts are consistent throughout the published time series commencing in 1998. Data can be reconciled with other macroeconomic statistics including balance of payments. Revision policy and practice Revisions to national accounts are undertaken according to an established timeframe. This timetable should be published. Revision analyses are not undertaken. | Data accessibility National accounts are accessible through the NCSI website and supported by a web based client servicing. Internal government users obtain access prior to release. The principles and process for prior access should be published. Metadata accessibility Oman’s national accounts include summary detail of data sources, however detailed information on the methods employed is lacking. GDDS metadata requires updating. Assistance to users Free user assistance is available via the web-based client service tool. Management information is required to assess the effectiveness of the current arrangements. |
Oman: Assessment of Data Quality—Dimensions 2 and 5—Consumer Price Index
Oman: Assessment of Data Quality—Dimensions 2 and 5—Consumer Price Index
| 2. Methodological soundness | 3. Accuracy and reliability | 4. Serviceability | 5. Accessibility |
|---|---|---|---|
| Concepts and definitions Overall, the NCSI strives to reflect the concepts and definitions reflected in the 2004 ILO CPI Manual and the 2008 SNA. Scope The CPI weights include most types of resident households, including those of foreigners. Production of own consumption is included, which does not reflect international best practice for a headline measure of inflation and an index used for monetary policy formulation. The CPI covers all main groups of the COICOP classification from 01 to 12, with the exception of alcohol. In accordance with international best practice, the CPI does not include fixed capital formation. Imputed rents of owner-occupied dwellings are included. Classification/sectorization Following international best practices, the CPI is classified using COICOP classification up to 4-digit-level. Basis for recording The CPI weights are constructed using market prices. Collected prices for index calculation also relate to actual transaction prices. These valuations are consistent with international standards. The weight of second-hand cars is not a net weight. | Source data The weights were derived from the 2008/2009/2010 Household Income and Expenditure Survey (HIES). Products were selected using the same data. Outlets were selected based on local knowledge of the most popular outlets. There was no sample frame, which might cause the sample to be biased. Price collection includes all governorates of Oman, except for Musandam and Al Wusta. Assessment of source data When updating the weights, the HIES data are reviewed by the CPI staff. All price data are carefully checked. Statistical techniques Prices for missing items are imputed and permanently missing items are replaced. Elementary indexes are calculated as a ratio of geometric prices, and they are aggregated using the preferred Modified Laspeyres formula. Assessment and validation of intermediate data and statistical outputs Intermediate data are compared to relevant components of other indexes. Revision studies When a new set of weights is introduced, it is compared with the old set and the changes are evaluated; however these studies are not published or made available. | Periodicity and timeliness The CPI is produced on a monthly basis and disseminated 1 month after the reference month. These are in line with GDDS recommendations. Consistency There is some discrepancy in the inflation rates for 2013, when comparing the old 2000=100 index and the new 2012=100 index. This is due to incorrect rebasing. There is a consistent time series available for the 2012=100 index from 2002, as the new indexes were linked to the corresponding old base year indexes to form a continuous time series. The CPI weights are consistent with household final consumption as this would be recorded in the National Accounts. Revision policy and practice There is no regular schedule for updating weights for the CPI. According to international best practice, CPI weights should be updated every five years at minimum. Currently the weights are up to date. CPI data are revised in the event of an error, and are clearly identified in publications with a footnote explaining the reason. | Data accessibility The CPI is published clearly in several publications. Publications present the actual values of indexes as well as changes over relevant periods. Longer monthly time series can only be combined from the publications of different periods. Written explanations of current developments of the index are published only in the quarterly publication of the Economic Review. This also contains information on the contribution of different main groups on overall inflation. There is no formal preannounced schedule for the CPI publications, but data are available to all users at the same time. Metadata accessibility Detailed methodological manual is published and available on the NCSI website in Arabic and in English. The manual is currently being updated to reflect the recent changes in methodology. Assistance to users Publications contain a general contact point for the NCSI. Contacts rely partly on informal relations that have been built over the years. |
Oman: Assessment of Data Quality—Dimensions 2 and 5—Consumer Price Index
| 2. Methodological soundness | 3. Accuracy and reliability | 4. Serviceability | 5. Accessibility |
|---|---|---|---|
| Concepts and definitions Overall, the NCSI strives to reflect the concepts and definitions reflected in the 2004 ILO CPI Manual and the 2008 SNA. Scope The CPI weights include most types of resident households, including those of foreigners. Production of own consumption is included, which does not reflect international best practice for a headline measure of inflation and an index used for monetary policy formulation. The CPI covers all main groups of the COICOP classification from 01 to 12, with the exception of alcohol. In accordance with international best practice, the CPI does not include fixed capital formation. Imputed rents of owner-occupied dwellings are included. Classification/sectorization Following international best practices, the CPI is classified using COICOP classification up to 4-digit-level. Basis for recording The CPI weights are constructed using market prices. Collected prices for index calculation also relate to actual transaction prices. These valuations are consistent with international standards. The weight of second-hand cars is not a net weight. | Source data The weights were derived from the 2008/2009/2010 Household Income and Expenditure Survey (HIES). Products were selected using the same data. Outlets were selected based on local knowledge of the most popular outlets. There was no sample frame, which might cause the sample to be biased. Price collection includes all governorates of Oman, except for Musandam and Al Wusta. Assessment of source data When updating the weights, the HIES data are reviewed by the CPI staff. All price data are carefully checked. Statistical techniques Prices for missing items are imputed and permanently missing items are replaced. Elementary indexes are calculated as a ratio of geometric prices, and they are aggregated using the preferred Modified Laspeyres formula. Assessment and validation of intermediate data and statistical outputs Intermediate data are compared to relevant components of other indexes. Revision studies When a new set of weights is introduced, it is compared with the old set and the changes are evaluated; however these studies are not published or made available. | Periodicity and timeliness The CPI is produced on a monthly basis and disseminated 1 month after the reference month. These are in line with GDDS recommendations. Consistency There is some discrepancy in the inflation rates for 2013, when comparing the old 2000=100 index and the new 2012=100 index. This is due to incorrect rebasing. There is a consistent time series available for the 2012=100 index from 2002, as the new indexes were linked to the corresponding old base year indexes to form a continuous time series. The CPI weights are consistent with household final consumption as this would be recorded in the National Accounts. Revision policy and practice There is no regular schedule for updating weights for the CPI. According to international best practice, CPI weights should be updated every five years at minimum. Currently the weights are up to date. CPI data are revised in the event of an error, and are clearly identified in publications with a footnote explaining the reason. | Data accessibility The CPI is published clearly in several publications. Publications present the actual values of indexes as well as changes over relevant periods. Longer monthly time series can only be combined from the publications of different periods. Written explanations of current developments of the index are published only in the quarterly publication of the Economic Review. This also contains information on the contribution of different main groups on overall inflation. There is no formal preannounced schedule for the CPI publications, but data are available to all users at the same time. Metadata accessibility Detailed methodological manual is published and available on the NCSI website in Arabic and in English. The manual is currently being updated to reflect the recent changes in methodology. Assistance to users Publications contain a general contact point for the NCSI. Contacts rely partly on informal relations that have been built over the years. |
Oman: Assessment of Data Quality—Dimensions 2 and 5—Producer Price Index
Oman: Assessment of Data Quality—Dimensions 2 and 5—Producer Price Index
| 2. Methodological soundness | 3. Accuracy and reliability | 4. Serviceability | 5. Accessibility |
|---|---|---|---|
| Concepts and definitions Although the NSCI strives to reflect the concepts and definitions as noted in the IMF’s 2004 PPI Manual and the 2008 SNA, deficiencies exist. Scope The PPI covers three core industrial activities in Oman, which include the ISIC groups (C) Mining and quarrying, (D) Manufacturing and (E) Electricity and water. These cover about 95 percent of the total production. Prices are collected separately for domestic and export markets. Classification/sectorization The PPI uses the CPC 2 classification to classify the products. Responding establishments are classified by the ISIC 3.1. ISIC 4 is yet to be implemented. According to international best practice, the PPI should be compiled by products as well as by activities. The Omani PPI is compiled using both the CPC and the ISIC. However, data according to the ISIC are only disseminated annually. Basis for recording Following international best practices, the prices used to calculate the PPI are factory-gate (basic) prices excluding taxes and transportation surcharges. | Source data Weights were derived from the Industrial Survey of 2007. Selection of establishments was done by cut-off sampling on the basis of total value of production. Prices are collected separately for domestic and export markets. Product and item selection were done in cooperation with the selected establishments. Current weights/samples are outdated. Assessment of source data Source data for weights and establishment sample are thoroughly scrutinized. Price quotations are carefully checked. Statistical techniques Missing prices are imputed. Currently, products and establishments can only be replaced using separate Excel-files outside of the compilation system. This is not convenient and increases the risk of errors. Elementary aggregates are calculated using the Jevons formula. Higher level indexes are calculated using the geometric Laspeyres formula. Assessment and validation of intermediate data and statistical outputs Components of the PPI are compared to the corresponding components of the CPI. Revision studies The PPI has not yet been revised or updated since its first introduction. | Periodicity and timeliness The PPI is produced on a quarterly basis and disseminated 3 months after the reference quarter. These are not in line with GDDS recommendations. Consistency Statistics are consistent irrespective of the classification used for aggregation. There is a consistent time series available from 2007. Weights for the PPI are based on the Industrial Survey; they reflect the total value of production and are consistent with the SNA. Revision policy and practice There is no regular schedule for updating weights for the PPI. This does not reflect international best practices, according to which PPI weights should be updated every five years at minimum. Revisions to the index take place in the event of an error in the index, and are clearly identified in publications with a footnote explaining the reason. | Data accessibility The PPI is published clearly in several publications. Publications present the actual values of indexes as well as changes over relevant periods. Longer quarterly time series can only be combined from the publications of different periods. Written explanations of current developments of the index are published in the quarterly publication of the Economic Review. There is no formal preannounced schedule for the PPI publications, but data are available to all users at the same time. Data by activity are disseminated annually only, which does not conform to international best practice. Metadata accessibility Detailed methodological manual is published and available on the NCSI website in Arabic and in English. Assistance to users Publications contain a general contact point for the NCSI. Contacts rely partly on informal relations that have been built over the years. |
Oman: Assessment of Data Quality—Dimensions 2 and 5—Producer Price Index
| 2. Methodological soundness | 3. Accuracy and reliability | 4. Serviceability | 5. Accessibility |
|---|---|---|---|
| Concepts and definitions Although the NSCI strives to reflect the concepts and definitions as noted in the IMF’s 2004 PPI Manual and the 2008 SNA, deficiencies exist. Scope The PPI covers three core industrial activities in Oman, which include the ISIC groups (C) Mining and quarrying, (D) Manufacturing and (E) Electricity and water. These cover about 95 percent of the total production. Prices are collected separately for domestic and export markets. Classification/sectorization The PPI uses the CPC 2 classification to classify the products. Responding establishments are classified by the ISIC 3.1. ISIC 4 is yet to be implemented. According to international best practice, the PPI should be compiled by products as well as by activities. The Omani PPI is compiled using both the CPC and the ISIC. However, data according to the ISIC are only disseminated annually. Basis for recording Following international best practices, the prices used to calculate the PPI are factory-gate (basic) prices excluding taxes and transportation surcharges. | Source data Weights were derived from the Industrial Survey of 2007. Selection of establishments was done by cut-off sampling on the basis of total value of production. Prices are collected separately for domestic and export markets. Product and item selection were done in cooperation with the selected establishments. Current weights/samples are outdated. Assessment of source data Source data for weights and establishment sample are thoroughly scrutinized. Price quotations are carefully checked. Statistical techniques Missing prices are imputed. Currently, products and establishments can only be replaced using separate Excel-files outside of the compilation system. This is not convenient and increases the risk of errors. Elementary aggregates are calculated using the Jevons formula. Higher level indexes are calculated using the geometric Laspeyres formula. Assessment and validation of intermediate data and statistical outputs Components of the PPI are compared to the corresponding components of the CPI. Revision studies The PPI has not yet been revised or updated since its first introduction. | Periodicity and timeliness The PPI is produced on a quarterly basis and disseminated 3 months after the reference quarter. These are not in line with GDDS recommendations. Consistency Statistics are consistent irrespective of the classification used for aggregation. There is a consistent time series available from 2007. Weights for the PPI are based on the Industrial Survey; they reflect the total value of production and are consistent with the SNA. Revision policy and practice There is no regular schedule for updating weights for the PPI. This does not reflect international best practices, according to which PPI weights should be updated every five years at minimum. Revisions to the index take place in the event of an error in the index, and are clearly identified in publications with a footnote explaining the reason. | Data accessibility The PPI is published clearly in several publications. Publications present the actual values of indexes as well as changes over relevant periods. Longer quarterly time series can only be combined from the publications of different periods. Written explanations of current developments of the index are published in the quarterly publication of the Economic Review. There is no formal preannounced schedule for the PPI publications, but data are available to all users at the same time. Data by activity are disseminated annually only, which does not conform to international best practice. Metadata accessibility Detailed methodological manual is published and available on the NCSI website in Arabic and in English. Assistance to users Publications contain a general contact point for the NCSI. Contacts rely partly on informal relations that have been built over the years. |
Oman: Assessment of Data Quality—Dimensions 2 and 5—Government Finance Statistics
Oman: Assessment of Data Quality—Dimensions 2 and 5—Government Finance Statistics
| 2. Methodological soundness | 3. Accuracy and reliability | 4. Serviceability | 5. Accessibility |
|---|---|---|---|
| Concepts and definitions Fiscal data broadly follow the Government Finance Statistics Manual (GFSM 1986). The MOF bridges data from the fiscal accounts to the GFSM 2001 cash bases of accounting format, when compiling the GFS Yearbook (GFSY). Although data are bridged, some concepts such as the consumption of fixed capital, other accounts payable or imputations are not captured. Scope The GFS scope is not fully consistent with international standards, since gaps remain. Only the revenue, expense and balance sheet flows data of the budgetary central government are published, although stock positions are also available. Sovereign Wealth Funds are excluded in the compilation of GFS for the budgetary central government. Classification/sectorization Classification and sectorization are broadly in line with GFSM 2001 guidelines. A noteworthy caveat is that the Current defense and security expenditure includes compensation of employees and acquisition of nonfinancial assets that cannot be delineated. Basis for recording Transactions data are recorded on cash basis. Stock position data are only available at face or book value. | Source data The MOF obtains source data for the GFS on budgetary central government ministries and units from comprehensive and fully electronic and hard copy administrative records. However, for other units the MOF does not have a secure collection remit that is supported by the Statistical Law. Non civil service ministries data are recorded on an aggregated level, whereby a significant part of expenditure is appropriated to an inappropriate classification. All source data are received timely. Assessment of source data Source data are mainly based on administrative records and are sufficiently assessed through internal and external audit controls. Statistical techniques Generally, data compilation employs sound statistical techniques to deal with data sources, which are mainly administrative. Assessment and validation of intermediate data and statistical outputs Strict legal requirements and well-established management practices have led to continued assessment and validation of intermediate data and statistical outputs. Revision studies The well-documented audit trail serves as revision studies. Audit reports document the nature of any discrepancies discovered. | Periodicity and timeliness Revenue and expenditure data for budgetary central government are disseminated annually and monthly, which adheres to the GDDS recommendations. Debt data are only disseminated annually, which does not adhere to the GDDS good practices. Although monthly operations data are generally published within 45 days after the end of the reference month, December final data are published 6 months after the reference month. Consistency GFS data are consistent internally and over time. Consistency between GFSY, balance of payments, and national accounts cannot be verified. Revision policy and practice The revision policy and practice are primarily determined by the internal and external controls mandated by the legal framework. Revisions are affected after audits have been performed. In practice revisions are immaterial. | Data accessibility GFS accessibility could be improved in a number of aspects. Annual GFS are only disseminated in the GFSY. Fiscal data are available monthly in Excel or PDF format on the websites of the CBO and NCSI, and annually on the MOF website. However, there is no database that contains a long times series. Metadata accessibility Summarized metadata accessibility is only facilitated by the summary methodologies available on the IMF’s DSBB website (GDDS metadata), but no cross-reference to this website or a hyperlink is provided in national websites. Assistance to users Users can contact the MOF, CBO or NCSI through centralized contact points. |
Oman: Assessment of Data Quality—Dimensions 2 and 5—Government Finance Statistics
| 2. Methodological soundness | 3. Accuracy and reliability | 4. Serviceability | 5. Accessibility |
|---|---|---|---|
| Concepts and definitions Fiscal data broadly follow the Government Finance Statistics Manual (GFSM 1986). The MOF bridges data from the fiscal accounts to the GFSM 2001 cash bases of accounting format, when compiling the GFS Yearbook (GFSY). Although data are bridged, some concepts such as the consumption of fixed capital, other accounts payable or imputations are not captured. Scope The GFS scope is not fully consistent with international standards, since gaps remain. Only the revenue, expense and balance sheet flows data of the budgetary central government are published, although stock positions are also available. Sovereign Wealth Funds are excluded in the compilation of GFS for the budgetary central government. Classification/sectorization Classification and sectorization are broadly in line with GFSM 2001 guidelines. A noteworthy caveat is that the Current defense and security expenditure includes compensation of employees and acquisition of nonfinancial assets that cannot be delineated. Basis for recording Transactions data are recorded on cash basis. Stock position data are only available at face or book value. | Source data The MOF obtains source data for the GFS on budgetary central government ministries and units from comprehensive and fully electronic and hard copy administrative records. However, for other units the MOF does not have a secure collection remit that is supported by the Statistical Law. Non civil service ministries data are recorded on an aggregated level, whereby a significant part of expenditure is appropriated to an inappropriate classification. All source data are received timely. Assessment of source data Source data are mainly based on administrative records and are sufficiently assessed through internal and external audit controls. Statistical techniques Generally, data compilation employs sound statistical techniques to deal with data sources, which are mainly administrative. Assessment and validation of intermediate data and statistical outputs Strict legal requirements and well-established management practices have led to continued assessment and validation of intermediate data and statistical outputs. Revision studies The well-documented audit trail serves as revision studies. Audit reports document the nature of any discrepancies discovered. | Periodicity and timeliness Revenue and expenditure data for budgetary central government are disseminated annually and monthly, which adheres to the GDDS recommendations. Debt data are only disseminated annually, which does not adhere to the GDDS good practices. Although monthly operations data are generally published within 45 days after the end of the reference month, December final data are published 6 months after the reference month. Consistency GFS data are consistent internally and over time. Consistency between GFSY, balance of payments, and national accounts cannot be verified. Revision policy and practice The revision policy and practice are primarily determined by the internal and external controls mandated by the legal framework. Revisions are affected after audits have been performed. In practice revisions are immaterial. | Data accessibility GFS accessibility could be improved in a number of aspects. Annual GFS are only disseminated in the GFSY. Fiscal data are available monthly in Excel or PDF format on the websites of the CBO and NCSI, and annually on the MOF website. However, there is no database that contains a long times series. Metadata accessibility Summarized metadata accessibility is only facilitated by the summary methodologies available on the IMF’s DSBB website (GDDS metadata), but no cross-reference to this website or a hyperlink is provided in national websites. Assistance to users Users can contact the MOF, CBO or NCSI through centralized contact points. |
Oman: Assessment of Data Quality—Dimensions 2 and 5—Monetary Statistics
Oman: Assessment of Data Quality—Dimensions 2 and 5—Monetary Statistics
| 2. Methodological soundness | 3. Accuracy and reliability | 4. Serviceability | 5. Accessibility |
|---|---|---|---|
| Concepts and definitions The implementation of the key recommendations of the 2004 ROSC has significantly improved the concepts and definitions used by the CBO to compile monetary statistics in broad conformity with the guidelines outlined in the MFSM and MFSCG. Scope The DC survey covers the CBO and the 16 commercial banks. Islamic banks are not yet included in the monetary statistics published by the CBO. The CBO does not compile the other financial corporations survey (OFCS) and financial corporations survey (FCS). Classification/sectorization The classification and sectorization of financial instruments follow the guidelines outlined in the MFSM. Basis for recording Beginning in January 2001, the CBO and the commercial banks have been following the IAS 39 to value financial assets and financial liabilities (see CBO, Banking Circular, BM 913 dated May 5, 2001), hence basis for recording for compiling monetary statistics follow the recommendations of the MFSM and MFSCG. | Source data The source data for compiling monetary statistics are the balance sheet of the CBO and the balance sheets of commercial banks, which are prepared sufficiently timely and in accordance with the guidelines outlined in the MFSM. Assessment of source data The CBO routinely assesses the accuracy of the source data using an automated validation procedure (using a macro program). When inconsistencies occur, the CBO takes steps to make necessary corrections. Statistical techniques Sound statistical techniques are used. Monetary data are based on the balance sheets of the CBO and commercial banks. The CBO does not use secondary sources. Assessment and validation of intermediate data and statistical outputs The CBO routinely assesses and validates the consistency between the source data for monetary statistics with other information obtained from other departments. Revision studies The CBO does not have a policy of regular revision studies for monetary statistics. Data are considered final when first released, except for December data. | Periodicity and timeliness The periodicity and timeliness of monetary statistics (monetary survey, the CBO balance sheet, and commercial bank’s balance sheet) meet the GDDS recommendations. Consistency Monetary data published by the CBO are released in consistent historical series. Monetary data presented in the sectoral balance sheets of the CBO and commercial banks are internally consistent. Monetary data are largely consistent with the balance of payments statistics. Data on financial accounts for government finance statistics are not available. The CBO has taken steps to provide information to the MOF on financial positions of the CBO and commercial banks with the government and public sector. Revision policy and practice The revision policy for monetary statistics is posted on the CBO website. The revision cycle for monetary statistics is predetermined and occurs after the financial statements for the year are audited. The provisional and revised data are clearly identified by footnotes in the publications. | Data accessibility Monetary statistics are presented in an aggregated form. The table “Commercial Bank’s Combined Balance Sheet” has lack of detailed sectoral breakdown. The CBO compiles monetary statistics by the 25th of the following month, and are regularly posted on the CBO website within 45 days. The advanced release calendar is posted on the CBO website. Time series for monetary statistics in a format that is easy for use and reuse are only available upon request. Metadata accessibility The CBO disseminates metadata for monetary statistics on the IMF’s DSBB (GDDS metadata), which were updated in September 2011. A link to the DSBB website is posted on the CBO website. Explanatory notes to statistical tables are posted on the CBO website, but not in the hardcopy publications. Assistance to users The CBO’s statistical bulletins and Annual Report clearly identify contact points for inquiries by mail, telephone, facsimile, or email. Data in an Excel format are available upon request. The CBO website allows the users to submit their data requests online. The CBO responds promptly to these data requests and keeps documentation of the responses. |
Oman: Assessment of Data Quality—Dimensions 2 and 5—Monetary Statistics
| 2. Methodological soundness | 3. Accuracy and reliability | 4. Serviceability | 5. Accessibility |
|---|---|---|---|
| Concepts and definitions The implementation of the key recommendations of the 2004 ROSC has significantly improved the concepts and definitions used by the CBO to compile monetary statistics in broad conformity with the guidelines outlined in the MFSM and MFSCG. Scope The DC survey covers the CBO and the 16 commercial banks. Islamic banks are not yet included in the monetary statistics published by the CBO. The CBO does not compile the other financial corporations survey (OFCS) and financial corporations survey (FCS). Classification/sectorization The classification and sectorization of financial instruments follow the guidelines outlined in the MFSM. Basis for recording Beginning in January 2001, the CBO and the commercial banks have been following the IAS 39 to value financial assets and financial liabilities (see CBO, Banking Circular, BM 913 dated May 5, 2001), hence basis for recording for compiling monetary statistics follow the recommendations of the MFSM and MFSCG. | Source data The source data for compiling monetary statistics are the balance sheet of the CBO and the balance sheets of commercial banks, which are prepared sufficiently timely and in accordance with the guidelines outlined in the MFSM. Assessment of source data The CBO routinely assesses the accuracy of the source data using an automated validation procedure (using a macro program). When inconsistencies occur, the CBO takes steps to make necessary corrections. Statistical techniques Sound statistical techniques are used. Monetary data are based on the balance sheets of the CBO and commercial banks. The CBO does not use secondary sources. Assessment and validation of intermediate data and statistical outputs The CBO routinely assesses and validates the consistency between the source data for monetary statistics with other information obtained from other departments. Revision studies The CBO does not have a policy of regular revision studies for monetary statistics. Data are considered final when first released, except for December data. | Periodicity and timeliness The periodicity and timeliness of monetary statistics (monetary survey, the CBO balance sheet, and commercial bank’s balance sheet) meet the GDDS recommendations. Consistency Monetary data published by the CBO are released in consistent historical series. Monetary data presented in the sectoral balance sheets of the CBO and commercial banks are internally consistent. Monetary data are largely consistent with the balance of payments statistics. Data on financial accounts for government finance statistics are not available. The CBO has taken steps to provide information to the MOF on financial positions of the CBO and commercial banks with the government and public sector. Revision policy and practice The revision policy for monetary statistics is posted on the CBO website. The revision cycle for monetary statistics is predetermined and occurs after the financial statements for the year are audited. The provisional and revised data are clearly identified by footnotes in the publications. | Data accessibility Monetary statistics are presented in an aggregated form. The table “Commercial Bank’s Combined Balance Sheet” has lack of detailed sectoral breakdown. The CBO compiles monetary statistics by the 25th of the following month, and are regularly posted on the CBO website within 45 days. The advanced release calendar is posted on the CBO website. Time series for monetary statistics in a format that is easy for use and reuse are only available upon request. Metadata accessibility The CBO disseminates metadata for monetary statistics on the IMF’s DSBB (GDDS metadata), which were updated in September 2011. A link to the DSBB website is posted on the CBO website. Explanatory notes to statistical tables are posted on the CBO website, but not in the hardcopy publications. Assistance to users The CBO’s statistical bulletins and Annual Report clearly identify contact points for inquiries by mail, telephone, facsimile, or email. Data in an Excel format are available upon request. The CBO website allows the users to submit their data requests online. The CBO responds promptly to these data requests and keeps documentation of the responses. |
Oman: Assessment of Data Quality—Dimensions 2 and 5—External Sector Statistics
Oman: Assessment of Data Quality—Dimensions 2 and 5—External Sector Statistics
| 2. Methodological soundness | 3. Accuracy and reliability | 4. Serviceability | 5. Accessibility |
|---|---|---|---|
| Concepts and definitions ESS broadly follow the fifth edition of the Balance of Payments Manual (BPM5). To adhere to BPM6, recording of selected goods and FDI transactions should be fine-tuned. Scope The BOP scope is broadly consistent with international standards; however several deficiencies remain, mainly related to private sector transactions and stocks, FDI, and goods and services. Classification/sectorization Classification and sectorization are broadly in line with BPM5 guidelines, shortcomings include classification of selected goods, insurance services, and transactions of the sovereign wealth funds. Basis for recording For the most part, transactions data are valued at market prices. A number of transactions are recorded on an accrual basis in accordance with BPM5. In most cases, where transaction estimates are derived from the stock data, rough valuation adjustments are estimated. | Source data Coverage of compilation program is insufficient. Enhancement of banking reporting system and introduction of new surveys to cover gaps in recording goods and services components and in stocks statistics are needed. Timeliness of source data supports annual but not quarterly compilation. Assessment of source data The CBO staff ensure consistency with the requirements of the BPM5 through coordination/ discussions with the primary source data providers and developed procedures to adjust source data. Statistical techniques Generally, data compilation employs sound statistical techniques to deal with data sources, however several benchmark collections are to be updated and there are limited sources to make adjustments to source data. Assessment and validation of intermediate data and statistical outputs Intermediate results are validated against other independent data sources when possible. Revision studies Formal revision studies and analyses are not conducted, while internal monitoring and analysis are performed. | Periodicity and timeliness Balance of payments statistics are disseminated annually with six months timeliness, which adheres to the GDDS recommendations. Quarterly balance of payments estimates are compiled for internal purposes (an input to GDP). Data for comprehensive IIP is under development. Consistency Balance of payments data are consistent internally and over time and generally consistent or reconcilable with other datasets. Revision policy and practice In recent years, the revision policy and practice has been refined. Data for a new year are preliminary and subject to revisions during the following year. Public is informed of revisions via explanatory notes included in the CBO’s Annual Report. Formal studies and analyses of revisions have not been carried out. | Data accessibility Data are disseminated in accordance with BPM5 standard components. Supplementary publications on specific components are available. Separate ESS publication is to be considered. Work is ongoing to ensure dissemination of time-series in database format. A schedule announces in advance the approximate date the statistics are to be released, although there is no precise date. Metadata accessibility The balance of payments metadata are published on the IMF’s DSBB website and the country notes section in the Balance of Payments Statistics Yearbook, Part 3. Separate publication on ESS data sources and methods is considered. Assistance to users A “Feedback” box is posted on the CBO website for comments/questions of users. The ERSD is specified as an entry point for the data queries. Contact information is also provided on the IMF’s DSBB website. |
Oman: Assessment of Data Quality—Dimensions 2 and 5—External Sector Statistics
| 2. Methodological soundness | 3. Accuracy and reliability | 4. Serviceability | 5. Accessibility |
|---|---|---|---|
| Concepts and definitions ESS broadly follow the fifth edition of the Balance of Payments Manual (BPM5). To adhere to BPM6, recording of selected goods and FDI transactions should be fine-tuned. Scope The BOP scope is broadly consistent with international standards; however several deficiencies remain, mainly related to private sector transactions and stocks, FDI, and goods and services. Classification/sectorization Classification and sectorization are broadly in line with BPM5 guidelines, shortcomings include classification of selected goods, insurance services, and transactions of the sovereign wealth funds. Basis for recording For the most part, transactions data are valued at market prices. A number of transactions are recorded on an accrual basis in accordance with BPM5. In most cases, where transaction estimates are derived from the stock data, rough valuation adjustments are estimated. | Source data Coverage of compilation program is insufficient. Enhancement of banking reporting system and introduction of new surveys to cover gaps in recording goods and services components and in stocks statistics are needed. Timeliness of source data supports annual but not quarterly compilation. Assessment of source data The CBO staff ensure consistency with the requirements of the BPM5 through coordination/ discussions with the primary source data providers and developed procedures to adjust source data. Statistical techniques Generally, data compilation employs sound statistical techniques to deal with data sources, however several benchmark collections are to be updated and there are limited sources to make adjustments to source data. Assessment and validation of intermediate data and statistical outputs Intermediate results are validated against other independent data sources when possible. Revision studies Formal revision studies and analyses are not conducted, while internal monitoring and analysis are performed. | Periodicity and timeliness Balance of payments statistics are disseminated annually with six months timeliness, which adheres to the GDDS recommendations. Quarterly balance of payments estimates are compiled for internal purposes (an input to GDP). Data for comprehensive IIP is under development. Consistency Balance of payments data are consistent internally and over time and generally consistent or reconcilable with other datasets. Revision policy and practice In recent years, the revision policy and practice has been refined. Data for a new year are preliminary and subject to revisions during the following year. Public is informed of revisions via explanatory notes included in the CBO’s Annual Report. Formal studies and analyses of revisions have not been carried out. | Data accessibility Data are disseminated in accordance with BPM5 standard components. Supplementary publications on specific components are available. Separate ESS publication is to be considered. Work is ongoing to ensure dissemination of time-series in database format. A schedule announces in advance the approximate date the statistics are to be released, although there is no precise date. Metadata accessibility The balance of payments metadata are published on the IMF’s DSBB website and the country notes section in the Balance of Payments Statistics Yearbook, Part 3. Separate publication on ESS data sources and methods is considered. Assistance to users A “Feedback” box is posted on the CBO website for comments/questions of users. The ERSD is specified as an entry point for the data queries. Contact information is also provided on the IMF’s DSBB website. |
14. In order to complement the Fund’s assessment of the quality of official statistics, and with the assistance of the CBO and the NCSI, the mission conducted a survey of key users of macro-economic statistics that are published by the CBO and the NCSI. The questionnaire was sent to a broad range of users in Oman who were asked to evaluate the coverage, periodicity, timeliness, accessibility, and overall quality assessment of the official statistics.
15. Users are generally satisfied with the overall quality of the official statistics. On a scale of 1 to 5, 1 being “poor” and 5 being “excellent”, the average for all official statistics was 3.7, slightly improved from 3.6 in 2004. Overall, users are highly satisfied with monetary statistics and price statistics, but less so on national accounts, balance of payments, and GFS. While users are satisfied with coverage, they would like to see more details on national accounts, GFS, and balance of payments. On periodicity and timeliness, while users expressed a high level of satisfaction with the timeliness of prices, monetary statistics, and GFS, they were less satisfied with national accounts and balance of payments. They stated that the significant lags in the publication of data prevent them from conducting analyses of current economic trends.
16. The vast majority of respondents (96 percent) access statistics via the official websites for all sectors, with highest rating given to the CPI and monetary statistics. However, users expressed less satisfaction with the accessibility to the metadata across all sectors. On specific comments, some users would appreciate the creation of an interactive online database where they could select time series and frequency given their heavy reliance on the official websites for statistical data. A more detailed analysis of the User Survey and tabulated results are provided in Volume III of this report.
Staffs Recommendations
17. Based on the review of Oman’s statistical practices, discussions with the data producing agencies, and responses from data users (see Appendix IV of the Detailed Assessments volume), the mission developed a set of recommendations. They are designed to increase Oman’s adherence to internationally accepted statistical practices and their implementation would, in the mission’s view, enhance the analytical usefulness of Oman’s statistics and progression to the Special Data Dissemination Standards. Some additional technical suggestions are included in the Detailed Assessments in Volume III.
Cross-cutting recommendations
Develop, publish, and implement a new Statistical Law to clarify responsibilities and to strengthen inter-agency coordination within the Oman’s statistical system.
Update the Financial Law to allow timely release of monthly, quarterly and annual preliminary GFS data, and to improve the scope of the data.
Institute legal mandate for the CBO to compile and disseminate monetary and external sector statistics.
Establish formalized arrangements among government institutions, including the CBO, to ensure efficient data exchange and methodological consistency.
Enhance data accessibility and timeliness of publications for all datasets by improving statistical databases in all institutions and introducing user-friendly time-series formats for data dissemination. This should include publication of a calendar showing all upcoming releases.
The CBO in cooperation with the NCSI should expand data collections to address existing gaps and consider the introduction of the International Transactions Reporting System.
Establish a formal user advisory group for macroeconomic statistics to provide feedback on the relevance of current data and identify new and emerging data requirements on a regular basis.
National accounts
Replace the current benchmarking technique with a standard technique such as the Proportional Denton Method to enable preparation of consistent quarterly time series.
Publish documentation outlining the regular and transparent schedule for which national accounts are revised.
Ensure volume movements for taxes less subsidies on products reflect volume movements of the underlying products.
Construct and publish a policy documenting the users receiving statistics prior to release, the principles under which this disclosure occurs, and the process by which access can be requested.
Consumer price index
Continue to explore ways of fine-tuning the rebasing of CPI; notably, set the annual average of 2012 to 100, while allowing monthly changes.
Disseminate detailed monthly time series on the NCSI website in a user-friendly format.
Provide explanations on current period developments of the index in the monthly publication.
Producer price index
Update the production system to facilitate replacement of items and establishments consistent with the PPI manual to facilitate monthly publication of PPI.
Establish procedures for regular updates of the weights and the item/establishment samples consistent with availability of contemporary source data.
Provide detailed time series on the NCSI website, readily available and in a convenient format.
Government finance statistics
Fine-tune classification of government units and economic phenomena consistent with GFSM 2014 methodology.
Expand MOF staff positions to include dedicated GFS compilers.
Improve GFS metadata dissemination.
Monetary statistics
Include the Islamic banks in the coverage of other depository corporations (ODCs).
Improve the presentation of table “Commercial Bank’s Combined Balance Sheet” in the CBO’s statistical bulletins by expanding the sectoral breakdown for loans, debt securities, and deposits.
Explore the feasibility to collect data from the major other financial corporations, such as pension funds and insurance corporations to compile other financial corporations survey (OFCS) and financial corporations survey (FCS) in the future.
Balance of payments statistics
Elaborate the plan and timetable to migrate ESS to BPM6 methodology, identifying actions and key target dates.
Increase the number of staff dedicated to the compilation of ESS to ensure the smooth migration to BPM6 and development of IIP.
Disseminate international investment position statistics and external debt.
Improve the adjustments in the estimation of data on foreign trade, including the process to estimate trade via free economic zones, and on international trade in services, based on expanded collection and improved techniques.
Oman: Practices Compared to the GDDS Coverage, Periodicity, and Timeliness of Data
A preliminary quarterly estimate of nominal GDP(P) is available four months after the reference period. An annual estimate of nominal GDP is therefore available four months after the reference period. The first estimate of real GDP (the preliminary benchmark) is derived from a balanced, annual SUT and published 11 months after the reference period. No quarterly estimate of real GDP is produced.
Annual data only cover budgetary central government data. Monthly data on the revenue and expenditure of budgetary central government, following a national presentation, are disseminated in the Monthly Statistical Bulletin of the Central Bank of Oman. December data are only available 6 months after the end of the fiscal year.
Disseminated as part of a high-frequency (e.g. monthly) publication.
Partial coverage. Goods not recorded by Customs are excluded.
Oman: Practices Compared to the GDDS Coverage, Periodicity, and Timeliness of Data
| GDDS Data Category | Coverage (meets GDDS) | Periodicity | Timeliness | ||
|---|---|---|---|---|---|
| GDDS | Oman | GDDS | Oman | ||
| Real Sector | |||||
| National accounts aggregates: | |||||
| GDP (nominal and real) | No | A (Q) | A (Q) | 6–9M | 11 M (4 M)1 |
| Gross national income, capital formation, saving | No | A | A | 6–9M | 11 M |
| Production index/indices: | |||||
| Manufacturing or industrial indices, monthly index of economic activity | Yes | M | Q | 6–12W | 3 M |
| Primary commodity, agricultural, or other indices, as relevant | Yes | (as relevant) | N/A | 6–12W | N/A |
| Price indices: | |||||
| Consumer price index | Yes | M | M | 1–2M | 1M |
| Producer price index | Yes | M | Q | 1–2M | 3M |
| Labor market indicators: | |||||
| Employment | Yes | A | A | 6–9M | 1 M |
| Unemployment | Yes | A | 1/ | 6–9M | 1/ |
| Wages/earnings (all sectors) | Yes | A | A | 6–9M | 8-9 M |
| Fiscal Sector | |||||
| Central government aggregates: | |||||
| Revenue, expenditure, balance, and financing with breakdowns (debt holder, instrument, | No | Q | A (M)2 | 1Q (1M) | 2 M |
| currency), as relevant Interest payments | Yes | Q | A(M) | 1Q (1M) | 2 M |
| Central government debt: Domestic and foreign debt, as relevant, with appropriate breakdowns (debt holder, | No | (Q) | A | 1–2Q | 6 M |
| instrument, currency) Government-guaranteed debt | N/A | A (Q) | No | 1–2Q | N/A |
| Financial Sector | |||||
| Broad money and credit aggregates: Net external position, domestic credit, broad or narrow money | Yes | M | M | 1–3M | 45D |
| Central bank survey: Monetary base | Yes | M | M | 1–2M | 45D |
| Interest rates: Short-and long-term government. Security rates, policy variable rate | Yes | M | D | 2/ | D |
| Money or interbank market rates and a range of deposit and lending rates | Yes | M | M | 2/ | D (45D) |
| Stock market: Share price index, as relevant | Yes | M | D | 2/ | D |
| External Sector | |||||
| Balance of payments aggregates: Goods, services, income, current transfers, capital account, direct investment, portfolio investment, other investment, reserves, net errors and omissions. | Yes | A (Q) | A | 6M | 6M |
| External debt and service: | |||||
| Public and publicly guaranteed external debt, broken down by maturity | Yes | Q | (…) | 3–6M | (…) |
| Public and publicly guaranteed debt service schedule | Yes | Twice A | (…) | 1-2 Q | (…) |
| Private external debt not publicly guaranteed, and debt service schedule | Yes | A | (…) | 6–9M | (…) |
| International reserves: | |||||
| Gross official reserves | Yes | M | M | 1–4W | 45 days |
| Reserve-related liabilities | N/A | M | (…) | 1–4W | (…) |
| Template on international reserves and foreign currency liquidity | N/A | M | (…) | 1–3M (1M) | (…) |
| Merchandise trade: | |||||
| Total exports and total imports | Yes3 | M | M | 8–12W | 3M |
| Major commodity breakdowns with longer time lapse | Yes3 | M | M | 8–12W | 3M |
| International Investment Position: Assets and liabilities disaggregated by: direct investment, portfolio investment (equity and debt securities), other investment, and reserve assets. | No | A | (…) | 6–9M | (.) |
| Exchange rates: Spot rates | Yes | D | M | 2 | 2 W |
A preliminary quarterly estimate of nominal GDP(P) is available four months after the reference period. An annual estimate of nominal GDP is therefore available four months after the reference period. The first estimate of real GDP (the preliminary benchmark) is derived from a balanced, annual SUT and published 11 months after the reference period. No quarterly estimate of real GDP is produced.
Annual data only cover budgetary central government data. Monthly data on the revenue and expenditure of budgetary central government, following a national presentation, are disseminated in the Monthly Statistical Bulletin of the Central Bank of Oman. December data are only available 6 months after the end of the fiscal year.
Disseminated as part of a high-frequency (e.g. monthly) publication.
Partial coverage. Goods not recorded by Customs are excluded.
Oman: Practices Compared to the GDDS Coverage, Periodicity, and Timeliness of Data
| GDDS Data Category | Coverage (meets GDDS) | Periodicity | Timeliness | ||
|---|---|---|---|---|---|
| GDDS | Oman | GDDS | Oman | ||
| Real Sector | |||||
| National accounts aggregates: | |||||
| GDP (nominal and real) | No | A (Q) | A (Q) | 6–9M | 11 M (4 M)1 |
| Gross national income, capital formation, saving | No | A | A | 6–9M | 11 M |
| Production index/indices: | |||||
| Manufacturing or industrial indices, monthly index of economic activity | Yes | M | Q | 6–12W | 3 M |
| Primary commodity, agricultural, or other indices, as relevant | Yes | (as relevant) | N/A | 6–12W | N/A |
| Price indices: | |||||
| Consumer price index | Yes | M | M | 1–2M | 1M |
| Producer price index | Yes | M | Q | 1–2M | 3M |
| Labor market indicators: | |||||
| Employment | Yes | A | A | 6–9M | 1 M |
| Unemployment | Yes | A | 1/ | 6–9M | 1/ |
| Wages/earnings (all sectors) | Yes | A | A | 6–9M | 8-9 M |
| Fiscal Sector | |||||
| Central government aggregates: | |||||
| Revenue, expenditure, balance, and financing with breakdowns (debt holder, instrument, | No | Q | A (M)2 | 1Q (1M) | 2 M |
| currency), as relevant Interest payments | Yes | Q | A(M) | 1Q (1M) | 2 M |
| Central government debt: Domestic and foreign debt, as relevant, with appropriate breakdowns (debt holder, | No | (Q) | A | 1–2Q | 6 M |
| instrument, currency) Government-guaranteed debt | N/A | A (Q) | No | 1–2Q | N/A |
| Financial Sector | |||||
| Broad money and credit aggregates: Net external position, domestic credit, broad or narrow money | Yes | M | M | 1–3M | 45D |
| Central bank survey: Monetary base | Yes | M | M | 1–2M | 45D |
| Interest rates: Short-and long-term government. Security rates, policy variable rate | Yes | M | D | 2/ | D |
| Money or interbank market rates and a range of deposit and lending rates | Yes | M | M | 2/ | D (45D) |
| Stock market: Share price index, as relevant | Yes | M | D | 2/ | D |
| External Sector | |||||
| Balance of payments aggregates: Goods, services, income, current transfers, capital account, direct investment, portfolio investment, other investment, reserves, net errors and omissions. | Yes | A (Q) | A | 6M | 6M |
| External debt and service: | |||||
| Public and publicly guaranteed external debt, broken down by maturity | Yes | Q | (…) | 3–6M | (…) |
| Public and publicly guaranteed debt service schedule | Yes | Twice A | (…) | 1-2 Q | (…) |
| Private external debt not publicly guaranteed, and debt service schedule | Yes | A | (…) | 6–9M | (…) |
| International reserves: | |||||
| Gross official reserves | Yes | M | M | 1–4W | 45 days |
| Reserve-related liabilities | N/A | M | (…) | 1–4W | (…) |
| Template on international reserves and foreign currency liquidity | N/A | M | (…) | 1–3M (1M) | (…) |
| Merchandise trade: | |||||
| Total exports and total imports | Yes3 | M | M | 8–12W | 3M |
| Major commodity breakdowns with longer time lapse | Yes3 | M | M | 8–12W | 3M |
| International Investment Position: Assets and liabilities disaggregated by: direct investment, portfolio investment (equity and debt securities), other investment, and reserve assets. | No | A | (…) | 6–9M | (.) |
| Exchange rates: Spot rates | Yes | D | M | 2 | 2 W |
A preliminary quarterly estimate of nominal GDP(P) is available four months after the reference period. An annual estimate of nominal GDP is therefore available four months after the reference period. The first estimate of real GDP (the preliminary benchmark) is derived from a balanced, annual SUT and published 11 months after the reference period. No quarterly estimate of real GDP is produced.
Annual data only cover budgetary central government data. Monthly data on the revenue and expenditure of budgetary central government, following a national presentation, are disseminated in the Monthly Statistical Bulletin of the Central Bank of Oman. December data are only available 6 months after the end of the fiscal year.
Disseminated as part of a high-frequency (e.g. monthly) publication.
Partial coverage. Goods not recorded by Customs are excluded.