Republic of Mozambique
Report on the Observance of Standards and Codes—Data Module: Update

This paper presents an Update to the Data Module of the Report on the Observance of Standards and Codes (ROSC) for Mozambique. Despite the improvements in recent years, limitations in the coverage of most core comprehensive frameworks and indicators recommended in the General Data Dissemination System (GDDS) still exist, including the absence of a manufacturing or industrial production index and labor market indicators. In addition, data on public and publicly guaranteed external debt are not disseminated with the recommended breakdown. However, most GDDS recommendations regarding periodicity and timeliness have been met.

Abstract

This paper presents an Update to the Data Module of the Report on the Observance of Standards and Codes (ROSC) for Mozambique. Despite the improvements in recent years, limitations in the coverage of most core comprehensive frameworks and indicators recommended in the General Data Dissemination System (GDDS) still exist, including the absence of a manufacturing or industrial production index and labor market indicators. In addition, data on public and publicly guaranteed external debt are not disseminated with the recommended breakdown. However, most GDDS recommendations regarding periodicity and timeliness have been met.

Mozambique: Update to the Report on the Observance of Standards and Codes (ROSC)—Data Module

I. Background

1. At the request of the Mozambican authorities and with the strong support of the African Department (AFR), a mission1 from the IMF Statistics Department visited Maputo during May 11–17, 2005 to update the Data module of the Report on the Observance of Standards and Codes (ROSC) prepared by a mission that visited Maputo in June 2002.

2. The main objectives of this mission were to (1) review and document the actions taken by the authorities to address the issues raised by the 2002 Data ROSC mission for all macroeconomics statistics included in the ROSC exercise (national accounts, consumer price index, and government finance, monetary, and balance of payments statistics); (2) discuss with the authorities their plans for further improving the quality of the statistics; and (3) review Mozambique's current data dissemination practices against the recommendations of the General Data Dissemination System (GDDS).

3. During its stay in Maputo, the mission met with the Acting Minister of Finance, the General Manager of the Bank of Mozambique, and the President of the National Institute of Statistics (NIS), and worked closely with the staff in these institutions responsible for the compilation of the relevant datasets.

II. Main Findings of the Mission

4. The mission noted that significant efforts have been made to address the shortcomings identified by the 2002 ROSC mission, a clear indication of the increased awareness at all levels of the importance of compiling and disseminating statistics that follow international standards and good practices. The improvements in the institutional environment and the increased allocation of resources for the compilation of national accounts, balance of payments, and more recently, government finance statistics are addressing important weaknesses in the prerequisites for the quality of the statistics. The methodological soundness, accuracy, and reliability of the macroeconomic statistics are starting to show improvements as a result of these actions. However, the overall quality of macroeconomic statistics still hinders policy formulation and monitoring of economic development. Moreover, despite the increase in the budget resources allocated to the compilation of official statistics, continued high reliance on external funding raises concerns about the sustainability of the NIS' statistical programs.

5. The improvement in the overall quality of macroeconomic statistics in Mozambique has to be seen in the context of an extremely weak statistical infrastructure when the country became independent in 1975 and further deterioration during the ensuing protracted civil war. During recent years, the authorities have shown strong commitment to adhering to internationally accepted standards and good practices, as demonstrated by their decision to participate in the GDDS. Participation was formalized in November 2003, with the posting of the metadata on compilation and dissemination practices, and plans for statistical improvements on the IMF's Dissemination Standards Bulletin Board (DSBB). Progress has been more evident since the launching of the IMF-sponsored regional project for strengthening the statistical capacity in Portuguese-speaking African countries.2 Much remains to be done, but the Mozambican authorities' have developed comprehensive action plans to improve all statistical areas and these plans are being supported by technical and financial assistance from the IMF and bilateral donors.

6. More specifically, source data and data collection programs for national accounts and the consumer price index have been strengthened by conducting surveys on business, household income and expenditure, and agriculture, and by updating the business register. Furthermore, more comprehensive and timely foreign trade data based on improved classification systems are being compiled. New surveys are also being undertaken on the informal sector, non-profit organizations, and labor force. In addition, the benchmark year for national accounts, and the weights for the CPI are being updated. The creation of a statistical unit in the MOF and the launching of the Integrated Management and Financial Information System (SISTAFE) will contribute significantly to enhance the analytical usefulness of government finance statistics in the near future. The analytical framework for compiling monetary statistics has been aligned with internationally accepted practices and the data are being derived exclusively from accounting records. The allocation of substantial additional resources to the compilation of balance of payments statistics, including the establishment of a specialized unit within the Research Department of the BOM and an interagency Working Group on External Trade Statistics, has led to improvements in trade data and the quality of the source data for balance of payments statistics.

7. The mission also noted that important steps have been taken to enhance the relevance of, as well as the accessibility to, data and metadata across the various datasets. Metadata for all macroeconomic statistics, with different levels of detail, are disseminated in the publications and on the websites of the statistical agencies. Advanced release calendars are disseminated for national accounts and price statistics. Efforts are underway to disseminate advance release calendars and information on revisions policy and practices for all datasets.

8. With respect to data dissemination practices in light of the GDDS recommendations, the mission found that despite the improvements in recent years, limitations in the coverage of most core comprehensive frameworks and indicators recommended still exist, including the absence of a manufacturing or industrial production index and labor market indicators. In addition, data on public and publicly guaranteed external debt are not disseminated with the recommended breakdown. Most GDDS recommendations regarding periodicity and timeliness are met, except for (i) the periodicity of external trade data, and (ii) the timeliness of data on comprehensive central government operations and debt. Concerning extensions encouraged by the GDDS, exceptions to the recommended practices in terms of data coverage are the lack of quarterly GDP data, a monthly producer price index, data on private external debt not publicly guaranteed, a share price index, and disaggregation of labor data by age, sex, employment status, occupation, and industry.

9. Appendices I–V provide more details on the actions taken by the authorities since the 2002 ROSC—Data Module was conducted, as well as the plans for improvements in all statistical areas included in the ROSC exercise. A target date for implementing each planned action is also provided. A summary of the main findings of the mission for each sector is presented below.

A. National Accounts

10. During the past three years, progress has been made towards enhancing the quality of national accounts statistics, as part of NIS' detailed action plan to address weaknesses in all data quality dimensions. These efforts are being supported by long-term technical assistance from the IMF Statistics Department through a resident part-time advisor, and technical and financial assistance from the Scandinavian and the Italian Programs. Although current resources seem to be adequate for ongoing programs, continued high reliance on external funding raises concerns about the sustainability of the statistical programs. The implementation of the authorities' plans for improvement will require a strong commitment, the allocation of some additional budget resources, and the continuation of the technical and financial support of external partners.

11. The main actions taken by NIS in the area of national accounts statistics, since the 2002 ROSC mission, include:

  • Staff resources for national accounts compilation were increased by one third, computers and working conditions were updated, and training programs were strengthened. Studies to promote a more efficient use of resources are undertaken on a regular basis.

  • A data quality management team was established in 2004 to provide guidance to NIS on data quality issues and to assess the quality of NIS' statistical products. Also, since 2002 NIS has conducted annual users' surveys to obtain feedback on the quality of statistics produced by NIS.

  • There have been some improvements in the scope of national accounts and more substantial changes can be expected when the data based on the new benchmark year (2003) are compiled and disseminated.

  • Efforts to improve source data and data collection programs include: (i) compilation of data on local governments; (ii) use of the results of surveys on business, household income and expenditure (2002/2003), and agriculture; and (iii) compilation of more comprehensive and timely foreign trade data, based on improved classification systems. Furthermore, new surveys are being undertaken on the informal sector, non profits organizations, and labor force.

  • The business register established in 2004 improved the quality of the sample frames.

  • The updating of the benchmark year (2003) incorporates the improvement of compilation processes and statistical techniques.

  • There are ongoing efforts to estimate hidden and illegal activities, including shuttle trade.

  • Collaboration between NIS, BOM, and Customs has been strengthened.

  • NIS has intensified contacts with all users to assess their needs. For example, since 2002, NIS has conducted annual users' surveys to obtain feedback on the quality of its statistics.

  • An advanced release calendar is already posted on the NIS website.

  • Detailed metadata are posted on the NIS website and the DSBB.

12. The NIS has plans for improving the quality of national accounts statistics, fully aligned with the 1993 SNA. These efforts are being supported by technical assistance from the IMF Statistics Department and the Scandinavian and Italian Programs. These plans include:

  • An assessment of the quality of NIS' main statistical products will be conducted by the Data Quality Management Group of the NIS by end-2005.

  • Revised national accounts time series based on the new benchmark year (including preliminary annual estimates for 2005 and quarterly estimates for 2006) are expected to be disseminated by September 2006.

  • Additional resources will be allocated to improve the timeliness and accuracy of source data, including response rates to surveys and merchandise trade statistics. (Starting in June 2005).

  • Although some analysis of the direction and magnitude of revisions is done, the NIS plans to conduct more comprehensive studies and adequate documentation of revisions to better inform the compilation process. (December 2005).

  • A unified sectorization matrix of all institutional units to be adopted by all data producing agencies within the National Statistical System (NSS) will be approved in May 2005. This matrix will be used in the compilation of all official statistics.

  • The NIS plans to strengthen the procedures to routinely assess the accuracy of source data for national accounts, including GFS, BOP, and price statistics. These procedures will be done in coordination with BOM and MOF. (Starting in June 2005).

  • NIS expects to disseminate to the public the policy for revising national accounts by end-2005.

  • The formats used for disseminating national accounts statistics will be improved by September 2005. Further improvements will be made when the time series based on the new benchmark year are disseminated.

  • Metadata posted on the NIS website and the DSBB will be updated more regularly, at least once a year. (Ongoing)

B. Consumer Price Index

13. The overall quality of the CPI has improved significantly since 2002: coverage has been expanded, international classifications (COICOP) have been adopted, and source data have been improved substantially, among other. These efforts are being supported by financial and/or technical assistance from the IMF Statistics Department, and the Scandinavian and the Italian Programs. The impact of these measures will be fully reflected in the rebased CPI (based on December 2004) to be disseminated in July 2005. These improvements are being achieved in a context of limited resources. Additional resources and training will have to be allocated to ensure the sustainability of the program to enhance the quality of the CPI.

14. Specifically, the main actions taken by the National Institute of Statistics (NIS) to improve the quality of the CPI since the 2002 ROSC mission include:

  • Computers and working conditions have been upgraded, but software continues to be outdated.

  • A data quality management team was established in 2004 to provide guidance to NIS on data quality issues and to assess the quality of NIS' statistical products. Also, since 2002 NIS has conducted annual users' surveys to obtain feedback on the quality of statistics produced by NIS.

  • The coverage of the CPI has been expanded to cover the three largest cities (Maputo, Beira, and Nampula). NIS disseminates the indices for each city and the aggregate index. Prices are being collected for seven additional cities to further expand the CPI coverage.

  • Source data for the CPI has improved significantly: a household income and expenditure survey (HIES) was conducted in 2002/2003, a census of establishments was conducted in 2003, and the business register was established in 2004.

  • CPI weights were updated to reflect the household consumption expenditure derived from the 2002-2003 HIES; COIPOC classifications were fully introduced.

  • Coordination between CPI and NA compilers has been strengthened, particularly with regards to classifications and weighting.

  • An advanced release calendar is already posted on the NIS website.

  • Detailed metadata are posted on the NIS website and the DSBB.

  • Support services are available to users. Contact information and a list of publications are provided on the website and publications.

15. The NIS has plans for improvements leading to full observance of international best practices in all data quality dimensions. These efforts are being supported by technical assistance from the IMF Statistics Department and the Italian Program. These plans include:

  • Training programs will be strengthened, in particular in the provinces. (Ongoing)

  • An assessment of the quality of NIS' main statistical products will be conducted by the Data Quality Management Group of the NIS by end-2005.

  • NIS plans to adopt a random sampling technique to select the outlets for price collection by July 2006.

  • NIS plans to acquire more modern software to permit improvements in statistical techniques. (December 2006)

  • NIS plans to gradually increase the coverage of the aggregate CPI up to 10 cities, depending upon the analysis of the information being collected. (By end-2006)

  • NIS plans to disseminate a CPI with a new base period (December 2004) and using COICOP classifications in July 2005.

  • Metadata posted on the NIS website and the DSBB will be updated more regularly, at least once a year. (Ongoing)

C. Government Finance Statistics

16. Some progress has been made in implementing the recommendations of the 2002 ROSC mission in the area of GFS, as awareness of the importance of compiling statistics that follow international standards has increased at all levels. This increased awareness led to the allocation of more resources to the statistical functions at the Ministry of Finance (MOF) and the creation of a statistical unit in the MOF. The Integrated Management and Financial Information System (SISTAFE) was launched in late 2004, and is being progressively expanded. These actions will contribute significantly to enhance the analytical quality of GFS in the near future.

17. Specifically, the main actions taken by the MOF to improve the quality of GFS since the 2002 ROSC mission include:

  • The Department of Economic Studies and Government Finance Statistics (DESGFS) was established within the Treasury in 2003 with the responsibility of compiling government finance statistics (GFS). Currently, the DESGFS has four professionals and two support staff.

  • Following the establishment of a system for donor reporting in 2002, statistical reporting on foreign aid has improved. However, substantial foreign aid data are still not included in the budget execution data.

  • As a result of the launching of SISTAFE, there has been some progress in the concepts and definitions, scope, and classification and sectorization used for compiling GFS, in line with the Government Finance Statistics Manual 2001 (GFSM 2001).

  • Dissemination formats for GFS were improved and more disaggregated data are disseminated to the public.

  • Detailed metadata are posted on the NIS website and on the DSBB.

18. The MOF has plans for improvements, which will be supported by technical assistance from the IMF. These plans include:

  • The MOF will seek the formal delegation of authority from NIS to compile and disseminate GFS. To the end, DESGFS will have to be recognized as a data producing agency within the National Statistical System. (December 2005)

  • The MOF will work with IMF technical assistance missions in compiling GFS and developing a migration path to the GFSM 2001. This technical assistance will have a training component. (The first mission is scheduled for July 2005)

  • The coverage of GFS source data will be expanded to include all autonomous agencies and the local governments (autarquias locais). (December 2006)

  • In coordination with the BOM, MOF will reconcile external debt data with creditors on a more frequent basis. (September 2005)

  • It is expected that the adoption of SISTAFE will permit the derivation of comprehensive GFS automatically and reduce significantly the lags in disseminating annual GFS. (June 2006)

  • The NSS unified sectorization matrix of institutional units will be adopted in the compilation of GFS. (June 2006)

  • Metadata posted on the NIS website and the DSBB will be updated more regularly, at least once a year. (Ongoing)

  • MOF plans to establish a website, disseminate a statement on the revision policy and an advance release calendar, and provide a hyperlink to the GFS metadata posted on the NIS website. (December 2005)

D. Monetary Statistics

19. Since 2002, the BOM has made substantial progress towards compiling monetary statistics in accordance with the Monetary and Financial Statistics Manual (MFSM). These efforts are being supported by technical assistance from the IMF Statistics Department. Data are now being derived exclusively from accounting records. However, there is room for improvement, in particular regarding the format for disseminating the data.

20. Specifically, the main actions taken by the BOM since the 2002 ROSC mission include:

  • Monetary statistics are derived exclusively from accounting records.

  • In the process of adopting the new standardized forms for reporting monetary statistics to the IMF, all monetary statistics are being derived electronically. This system is being tested and it is expected that the new time series, based on the BOM mainframe, will be released by end-2005.

  • Detailed metadata are posted on the NIS website and the DSBB. Also, the BOM website has a hyperlink to the DSBB.

  • The BOM Quarterly Bulletin includes some methodological notes, including information on breaks in series.

  • Although no formal feedback is sought from users, the BOM has an active outreach program, including seminars to the media and interested users.

  • Support services are available to users. Contact information and a list of publications are provided on the BOM website and Quarterly Bulletin.

21. The BOM has plans to fully adopt the MFSM in the compilation and dissemination of monetary statistics. These efforts are being supported by technical assistance from the IMF Statistics Department, and include:

  • The BOM plans to include a user survey in the Quarterly Bulletin and on its website. (September 2005)

  • Establish an internal committee to work on data quality issues. (December 2005)

  • The NSS unified sectorization matrix of all institutional units will be adopted by the BOM and other depository corporations. (September 2005)

  • An advanced release calendar will be disseminated. (September 2005)

  • Metadata posted on the NIS website and the DSBB will be updated more regularly, at least once a year. (Ongoing)

  • Although data formats and dissemination means improved considerably since 2002, the BOM plans to fully adapt the dissemination formats to those recommended in the MFSM. (September 2005)

E. Balance of Payments Statistics

22. The creation of a balance of payments (BOP) unit within the Research and Statistics Department of the BOM with substantial additional resources has resulted in improvements in the overall quality of BOP statistics. In particular, data sources were significantly expanded and improved. The establishment of an interagency Working Group on External Trade Statistics contributed significantly to improvements in the coverage and classification of trade data. These efforts are being supported by technical assistance from the IMF Statistics Department.

23. Specifically, the main actions taken by the BOM since the 2002 ROSC mission include:

  • An interagency Working Group on External Trade Statistics was created in 2003 to promote the compilation and dissemination of more comprehensive and accurate external trade statistics.

  • In 2002, the NIS delegated to the BOM the responsibility for compiling and disseminating BOP and, thus, the authority to request relevant information from any public or private entity. The BOP surveys state that penalties can be applied for nonreporting or for reporting inaccurate data.

  • The BOM established the Balance of Payments Unit within the Research and Statistics Department in September 2004 and four new staff were allocated to the compilation of BOP statistics, which represents an increase of more than fifty percent over the staff level in 2002.

  • The source of BOP statistics is currently identified in all publications. The BOM Quarterly Bulletin includes explanatory notes on mayor changes in methodology, source data, and statistical techniques. However, these explanations are only done when data are released.

  • The BOM is expanding the enterprises surveys to major direct investment enterprises, as well as major transportation, communications, and tourism, to improve the coverage of services and financial account. The improved register of foreign investment and private debt will also facilitate expanded coverage.

  • The gradual improvement of source data, such as trade data, monthly bank surveys on foreign exchange transactions, and enterprises surveys are reducing the classification problems in services and other investments. The breakdown and coverage of Customs data are improving through quality control procedures. More staff resources are allowing the analysis and adjustment to source data, as well as the reduction in lags in responses, including the lag in Customs data.

  • BOP staff maintains regular dialogue with major data providers (banks and enterprises) to query amounts that appear to be misclassified and ensure correct reporting. Some estimates are made for missing observations. Estimates are made on smuggling and travel, based on exchange rate transactions through exchange houses.

  • The BOM released a BOP time series for 1980-2003, reclassified according to the BPM5. Starting in 2004, data are compiled and disseminated according to the BPM5.

  • Detailed metadata are posted on the NIS website and the DSBB. The BOM Quarterly Bulletin includes some methodological notes, including information on breaks in series.

  • Support services are available to users. Contact information and a list of publications are provided on the website and the BOM Quarterly Bulletin.

24. The BOM has comprehensive plans to improve the quality of balance of payments statistics. These efforts are being supported by technical assistance from the IMF Statistics Department and include:

  • A revised Exchange Law, which formally adopts the BPM5 residency criterion, is expected to be approved by the Parliament in late 2005. However, in practice, the BOM already applies the BPM5 residency criterion for BOP compilation.

  • Coverage of current and capital transfers to the private sector will improve with the results of the NIS census for NGOs that was conducted in 2004/2205 covering data for 2003/2004.

  • In coordination with the MOF, BOM will reconcile external debt data with creditors on a more frequent basis. (September 2005)

  • BOM plans to establish a revisions policy (December 2005) and undertake studies of BOP revisions to inform the statistical process. These studies will be disseminated to the public. (May 2006)

  • The BOM will conduct surveys among users of BOP statistics and will seek users' feedback on its website and the Quarterly Bulletin. (December 2005)

  • The BOM plans to strengthen the procedures to routinely assess the accuracy of source data for BOP in coordination with NIS, including the National Accounts Department. (Starting in June 2005)

  • The NSS unified sectorization matrix of all institutional units will be adopted in the compilation of the BOP statistics. (September 2005)

  • The BOM plans to disseminate an advanced release calendar for BOP. (September 2005)

  • BOM plans to establish an internal committee to work on data quality issues and to conduct surveys among users of BOP statistics. (December 2005)

III. General Data Dissemination System

25. Mozambique began participating in the GDDS in November 2003. This step reflected the authorities' commitment to adhering to internationally accepted standards and good practices. The mission reviewed Mozambique's current data dissemination practices against the recommendations of the GDDS for macroeconomic statistics.3 The main findings of the mission with respect to the coverage, periodicity, and timeliness of the data dimension are described below and more detailed information is provided in Appendix VI.

Data dimension

26. The mission found that despite the improvements in recent years, limitations in the coverage of most core comprehensive frameworks and indicators recommended in the GDDS still exist, including the absence of a manufacturing or industrial production index and labor market indicators. In addition, data on public and publicly guaranteed external debt are not disseminated with the recommended breakdown.

27. Most GDDS recommendations regarding periodicity and timeliness are met, except for (i) the periodicity of external trade data, and (ii) the timeliness of data on comprehensive central government operations and debt.

28. Concerning extensions encouraged by the GDDS, exceptions to the recommended practices in terms of data coverage are the lack of quarterly GDP data, a monthly producer price index, data on private external debt not publicly guaranteed, a share price index, and disaggregation of labor data by age, sex, employment status, occupation, and industry.

Quality dimension

29. The quality dimension of the GDDS is particularly important, given that the primary focus is on improvements in data quality over time. The assessment of quality by users requires the dissemination of (i) documentation on methodology and data sources, and (ii) component detail and reconciliation with related data.

30. Documentation on the methodology and data sources for macroeconomic statistics is posted on the NIS website and on the IMF's Data Standards Bulletin Board (DSBB). Nonpublished (but nonconfidential) data are made available to the public upon request. Despite improvements in data coverage, sectorization, classification, and accounting procedures since 2002, data reconciliation across sectors cannot be fully achieved.

Integrity dimension

31. The GDDS recommends the disclosure of the legal framework for the collection, compilation, and dissemination of data, including the provisions for the confidentiality of respondents' data.

32. The terms and conditions under which most official statistics are compiled and disseminated in Mozambique provide a legal framework that supports the integrity of the statistical system. This information is contained in the metadata disseminated. There is no internal governmental access to statistics prior to their release to the public.

Access dimension

33. Dissemination of official data is an essential feature of statistics as a “public good.” Ready and equal access, including by market participants, are fundamental principles for the statistics to be regarded as a public good. The access dimension entails two practices that facilitate ready and equal access to data: (i) simultaneous release to all parties, and (ii) dissemination of advance release calendars.

34. Statistics are released simultaneously to all parties. Advance release calendars are disseminated only for statistics compiled and disseminated by the NIS.

APPENDIX I

Table 1.

Mozambique—ROSC DATA MODULE UPDATE FOR NATIONAL ACCOUNTS STATISTICS

(Compiling Agency: National Institute of Statistics (NIS))

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APPENDIX II

Table 2.

Mozambique—ROSC DATA MODULE UPDATE FOR CONSUMER PRICE STATISTICS

(Compiling Agency: National Institute of Statistics (NIS))

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APPENDIX III

Table 3.

Mozambique—ROSC DATA MODULE UPDATE FOR GOVERNMENT FINANCE STATISTICS

(Compiling Agency: Ministry of Finance (MOF))

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APPENDIX IV

Table 4.

Mozambique—ROSC DATA MODULE UPDATE FOR MONETARY STATISTICS

(Compiling Agency: Bank of Mozambique (BOM))

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APPENDIX V

Table 5.

Mozambique—ROSC DATA MODULE UPDATE FOR BALANCE OF PAYMENTS STATISTICS

(Compiling Agency: Bank of Mozambique (BOM))

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APPENDIX VI

Table 6.

Mozambique: Overview of Current Practices Regarding Coverage, Periodicity, and Timeliness of Data Compared to the General Data Dissemination System14

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1

Comprising Edgar Ayales (head) and Candida Andrade (both from STA). The mission worked closely with Mrs. Teixeira, Resident Advisor for the GDDS regional project for Lusophone African countries.

2

The regional GDDS project for Lusophone African countries in being financed by the government of Japan.

3

A detailed description of the GDDS can be found on the IMF's Data Standards Bulletin Board (DSBB) on the Internet at http://www.dsbb.imf.org.

4

Comments are provided only for those elements that were rated “Largely Observed” (LO) or “Largely not Observed” (LNO) during the 2002 ROSC mission. The 2002 assessment rating is shown in parenthesis after the comments. No comments are provided for those elements that were rated “Observed” (O.)

5

An indicative deadline is provided (in parenthesis) following the description of the plans for improvement for each element.

6

Comments are provided only for those elements that were rated “Largely Observed” (LO) or “Largely not Observed” (LNO) during the 2002 ROSC mission. The 2002 assessment rating is shown in parenthesis after the comments. No comments are provided for those elements that were rated “Observed” (O.)

7

An indicative deadline is provided (in parenthesis) following the description of the plans for improvement for each element.

8

Comments are provided only for those elements that were rated “Largely Observed” (LO) or “Largely not Observed” (LNO) during the 2002 ROSC mission. The 2002 assessment rating is shown in parenthesis after the comments. No comments are provided for those elements that were rated “Observed” (O.)

9

An indicative deadline is provided (in parenthesis) following the description of the plans for improvement for each element.

10

Comments are provided only for those elements that were rated “Largely Observed” (LO) or “Largely not Observed” (LNO) during the 2002 ROSC mission. The 2002 assessment rating is shown in parenthesis after the comments. No comments are provided for those elements that were rated “Observed” (O.)

11

An indicative deadline is provided (in parenthesis) following the description of the plans for improvement for each element.

12

Comments are provided only for those elements that were rated “Largely Observed” (LO) or “Largely not Observed” (LNO) during the 2002 ROSC mission. The 2002 assessment rating is shown in parenthesis after the comments. No comments are provided for those elements that were rated “Observed” (O.)

13

An indicative deadline is provided (in parenthesis) following the description of the plans for improvement for each element..

14

Italics indicate encouraged categories.

15

With the exception of monetary statistics, the coverage of Mozambique's comprehensive frameworks is not complete.

16

Preliminary data are disseminated 4–5 months after the end of the reference period.

17

Data on savings were disseminated only through 1998.

18

NIS compiles only turnover indices by economic activity, but not a production index.

19

NIS compiles indices for selected products, including fish and agricultural products.

20

Refers to the CPI for Maputo. NIS also compiles CPIs for Beira and Nampula, as well as an aggregate for the three cities.

21

This timeliness refers to the CPI for Maputo. The CPIs for Beira, Nampula, and the aggregated are disseminated 20, 25, and 30 days after the end of the reference period, respectively.

22

Data are being compiled and expected to be disseminated by end-2005. Currently only employment indices are compiled and disseminated.

23

Extended Facility Borrowing Rate.

24

Maputo Interbank Offering Rate (MIBOR).

25

The BOM disseminates public external debt by creditor but not by maturity. Data on maturity are compiled but not disseminated. The BOM compiles a public debt service schedule but does not disseminate it. There is no publicly guaranteed debt.