## 1senea2026001 ## Source details **Canonical URL:** [1senea2026001](https://www.imf.org/-/media/files/publications/cr/2026/english/1senea2026001.pdf) ## Other formats - [Markdown version](/-/media/files/publications/cr/2026/english/1senea2026001.pdf.md) - [Structured JSON version](/-/media/files/publications/cr/2026/english/1senea2026001.pdf.json) --- ### Overall assessment - Report type: Report on the Observance of Standards and Codes—Data Module (Data ROSC) updating Assessments conducted in 2002 and based on the 2025 IMF’s Data Quality Assessment Framework (DQAF). - Institutional responsibilities: - ANSD: national accounts, prices, government finance statistics (government finance based on MOF data). - BCEAO: monetary and financial, balance of payments, international investment position statistics. - MOF: public sector debt statistics. - SDDS status: - Senegal has been a subscriber of the Special Data Dissemination Standard (SDDS) since November 2017 and is in observance of the SDDS. - SDDS Plus adherence requirement: meet at least five of the additional nine data categories, with metadata and a transition plan to meet all nine within five years from date of adherence. ### Key findings by domain - National accounts - Follow the 2008 SNA with largely appropriate concepts and classifications. - Weaknesses: financial account compilation; extension to quarterly sectoral accounts; stronger validation of source data (government and corporate); more systematic investigation of statistical discrepancies; clearer documentation of sources, methods, and revision studies. - Prices (CPI and PPI) - CPI and PPI largely adhere to international concepts and methods. - Improvements: CPI weights updated and enhanced methodologies implemented in February 2025; PPI weights updated annually. - Remaining gaps: treatment of Owner-Occupied Housing (OOH) in the CPI; PPI coverage should be expanded to include agriculture and telecommunications; further quality adjustment and treatment of missing items. - External sector statistics (BOP and IIP) - Broadly consistent with BPM6; authorities intend to transition to BPM7. - Gaps: quarterly IIP compiled largely as accumulation of transactions (leading to negative positions of certain debt instruments); limitations in IRFCL scope for net international reserve assets; need to harmonize quarterly and annual BOP and IIP; compile fully integrated IIP and external debt statistics consistent with international methodology. - Monetary and financial statistics (MFS) - Methodological framework broadly consistent with MFSMCG and MFSM 2000 where applicable. - Gaps: incomplete institutional coverage (deposit-taking microfinance institutions and mobile money operators not yet included); securities at amortized cost not revalued at market price or fair value; absence of flow statistics limiting reconciliation with other macroeconomic statistics. - Government finance statistics (GFS) - Generally follow GFSM 2014 concepts; strength includes coverage of non‑market SOEs within general government. - Deviations/weaknesses: valuation and recording of non‑financial assets; absence of financial balance sheets and integrated statement of stocks and flows; no COFOG data; exclusion of BCEAO National Branch from public sector perimeter; limited coverage of in‑kind transactions; ad hoc statistical techniques for capital injections. - Public sector debt statistics (PSDS) - Legal/administrative framework provides foundation but requires strengthening. - Issues: lack of systematic oversight mechanism (except debt audit at start of presidential term); incomplete centralization of debt information; some externally financed projects and past borrowing outside DDP oversight; limited coverage of debt instruments (largely loans and debt securities). - Positive step: enactment of the 2026 Finance Law (LFI) prohibiting issuance and use of letters of comfort. - DDP subject to audits and reviews (Court of Accounts, Inspection Générale des Finances (IGF), PEFA, DeMPA) but faces resource constraints and fragmented information systems. ### Accuracy, reliability, and dissemination — strengths and weaknesses - Strengths - Long time series, regular publications, generally adequate source data. - Core datasets disseminated with adequate periodicity and timeliness: GDP, CPI, BOP and IIP, MFS, and GFS. - CPI and PPI disseminated monthly as announced in the advanced release calendar; some price statistics already SDMX-compliant. - Weaknesses - Cross-domain coherence incomplete; need stronger validation and methodological transparency. - Gaps in infra-annual public sector data limit compilation of quarterly general government operations. - Revision practices: absence of systematic revision analysis and lack of institutionalized structured revision cycles. - Recommendation: establish routine revision schedules; publish explanatory notes and updated metadata; create a public revisions database distinguishing routine updates from methodological or comprehensive revisions. - MFS: limited information to revalue securities at amortized cost; occasional sectoral misclassification by reporting banks; persistent discrepancies in interbank positions; lack of automated validation tools and a comprehensive compilation procedures manual. - Public sector debt: improvements from reconciliations with creditors and a special statistical bulletin, but further expansion of debt coverage and better metadata and revision documentation needed. ### Serviceability and accessibility — recommendations - Reduce dissemination lags for national accounts: - Objective: two quarters for annual estimates and one month for quarterly estimates; publish time series alongside the new GDP benchmark. - Expand machine-readable dissemination (CSV, JSON, XML) across all major datasets. - GFS dissemination: machine-readable formats with free and simultaneous access and pre-announced calendars exist, but: - Absence of a dedicated public webpage. - Limited analytical commentary. - Incomplete documentation of sources and methods. - Lack of identified contact points and feedback mechanisms. ### Users’ views and engagement (survey January–February 2026) - Survey response rate: Nine (of) 18 responses were received (50 percent). - Use and perceived quality - Datasets most frequently used: National Accounts; BOP and IIP; Government finance statistics; Financial and monetary statistics. - All respondents (100 percent; 9 out of 9) consider statistical methods sound and appropriate. - 78 percent (7 out of 9) consider official statistics unbiased and accurate. - 89 percent (8 out of 9) rated overall statistical quality as “Good.” - 67 percent (6 out of 9) consider supporting methodological documentation sufficiently clear and detailed. - Users requested: - Clearer and more systematic communication on data revisions and methodological changes, including explicit revision policies. - Enhanced supporting documentation in more user-friendly formats. - Stronger engagement between data producers and users through structured consultations and feedback mechanisms. - Improved coordination across institutions, easier navigation of official websites, and more consolidated access to macroeconomic statistics. - Gradual improvements in data granularity and frequency for selected domains. - Strengthened institutional capacity (human, technical, legal). ### Top-priority recommendations (staff) - Strengthen ANSD’s coordination mandate and institutionalize macroeconomic data reconciliation: - Ensure ANSD has a clear mandate as coordinator of the national statistical system. - Establish a permanent inter-agency committee chaired by ANSD to regularly reconcile key macroeconomic data. - Mitigate risks of debt data inconsistencies through integrated fiscal and national accounts: - Develop comprehensive GFS and PSDS covering full public sector and compile national accounts financial accounts to capture assets and liabilities across sectors. - Institutionalize regular audits of the PSDS and reconciliation across sectors. - Address the two-speed statistical system by harmonizing standards and practices across ANSD and sectoral agencies: - Specify in the new Statistical Law and regulations that standards and codes apply equally to central and sectoral levels. - Additional governance and resource measures: - Amend the Loi de la Statistique to enhance credibility and independence of the NSS; appoint the ANSD Director General through an open, merit-based process for a fixed term with strictly limited grounds for dismissal. - Strengthen human resource management, expand training (including ENSAE—École Nationale de la Statistique et de l’Analyse Économique), and increase financial resources to the NSS. - Implement regular reviews of work processes, periodic costing procedures, and budgeting procedures. - Formalize commitment to quality and develop tools to remind staff of ethical obligations. - Reinforce coordination among ANSD, BCEAO, and MOF; update and clarify the Statistical Law; establish permanent coordination and harmonization mechanisms. ### Assessment overview and DQAF rating scale - Assessments cover six macroeconomic datasets using the 2025 IMF DQAF framework: national accounts, prices (CPI, PPI), government finance, monetary and financial, external sector, and public sector debt statistics. - Results presented at DQAF element level using a four-point rating scale: - O = Observed (90-100%) - LO = Largely Observed (60-89%) - LNO = Largely Not Observed (25-59%) - NO = Not Observed (below 25%) - Institutional and legal environment (Dimensions “1” and “2”) presented by institution; Dimensions “3” to “5” (alignment to standards, accuracy and reliability, serviceability and accessibility) presented by dataset. - Summary observations: predominance of LO and LNO across institutions and datasets; examples include LO/O/LNO entries across Dimension 3 and many LO and O entries in Dimension 4; Dimension 5 includes LNO, O, LO, and LNO across elements. ### STAFF’S PRIORITY RECOMMENDATIONS — Overarching and selected dataset actions - Overarching - Strengthen ANSD’s Formal Mandate to Coordinate the National Statistical System (amend and operationalize the statistical law). - Establish a High-Level Macroeconomic Statistics Coordination Committee chaired by ANSD to reconcile NA–BOP–GFS–MFS and review revisions. - Harmonize standards across ANSD and sectoral agencies to address “two-speed” system. - Mitigate public sector debt inconsistencies by strengthening GFS and PSDS, advancing financial accounts, and institutionalizing reconciliation practices and mandated audits. - Dataset-level selected recommendations (preserve original terminology): - National Accounts: develop financial accounts (initially annual); expand expenditure‑based GDP by COICOP; improve discrepancy investigations and revision studies. - CPI: include expenditure weight for OOH based on rental equivalence; assess best estimation method for OOH price change; conduct long-term bias studies. - PPI: expand scope to agriculture and telecommunications; implement replacement and quality adjustment methods. - GFS: compile and disseminate financial balance sheet and integrated stocks/flows; compile annual COFOG; improve recording of revenue on accrual basis aligned with SIGIF; compile quarterly GG GFS supported by reliable quarterly estimates for extrabudgetary units. - BOP/IIP: discontinue estimating quarterly IIP as accumulation of BOP transactions; revise IIP components with negative positions; reconcile BOP and IIP with other macroeconomic datasets; document and disclose revision policy and practices. - MFS: incorporate deposit-taking microfinance institutions and mobile money operators; revalue securities at market or fair value; compile flow MFS decomposed into transactions, revaluations, and other changes; strengthen automation and validation tools. - PSDS: expand instrument coverage to include accounts payable and pension-related liabilities progressively; adopt PSDSG 2013 classification; improve loan data reliability and reconciliation with creditors; eliminate inconsistencies across debt data disseminations; enhance metadata and designate contact point(s). ### Legal and institutional environment — Selected institutional summaries and recommendations - ANSD (element-level highlights) - Overall Assessment for Legal and Institutional Environment — 100% LO. - Element-level ratings include: Coordinating the NSS 15% LNO; Adequacy of human resources 15% LNO; Adequacy of information technology resources 5% LO. - Selected recommendations: appoint ANSD head through open, merit-based process for a fixed term; periodic reviews of work processes; periodic costing and budgeting procedures; formalize quality policy; staff ethics reminders. - BCEAO - Overall Assessment for Legal and Institutional Environment — 100% LO; Quality management practices 2.5% O. - Recommendations: update Statistical Law to clarify BCEAO roles; provide clear legal mandate for data collection; require staff confidentiality forms; publicly disclose internal pre-release access arrangements. - Ministry of Finance - Overall Assessment for Legal and Institutional Environment — 100% LO; Quality management practices 2.5% O. - Recommendations: ensure adequate data scientists and administrative staff; develop staff training and career programs; establish MOUs/data exchange agreements; set funding horizon (2–3 years or more) for statistical developments; deploy IT effectively; finalize and publish code of ethics for Treasury staff. ### Dataset-specific detailed recommendations (selected excerpts) - National Accounts (NA) - Alignment with 2008 SNA — overall 100% LO; Concepts & Definitions 15% O; Accounting Rules 10% O; Scope of Statistical Output 50% LO. - Accuracy and Reliability — overall 100% LO; Revision Analysis and Reliability Monitoring 5% LNO. - Serviceability and Accessibility — overall 100% LNO; Timeliness 30% LNO; Correction and Revision Policies and Practices 5% LNO. - Selected actions: recognize growing crops in inventories until harvest; institutionalize monitoring of transfer prices within enterprise groups; initiate NDP calculation; commence balance sheets and natural resources recording; integrate environmental-economic accounts; update benchmark practices at least every five years. - Consumer Price Index (CPI) - Alignment with CPI Manual 2020 — overall 100% O. - Accuracy and Reliability — overall 100% O. - Serviceability and Accessibility — overall 100% O; Correction and Revision Policy and Practice 5% LO. - Selected actions: expand coverage to include owner-occupied housing (OOH); implement revisions policy in case of errors; CPI data available in APIs and SDMX formats. - Producer Price Index (PPI) - Alignment with PPI Manual 2010 — overall 100% O. - Selected actions: include agriculture and telecommunications; move to short-term comparisons; implement quality adjustments and replacement methods; publish explicit error and revisions policy; PPI data available in APIs and SDMX formats. - Government Finance Statistics (GFS) - Alignment with GFSM 2014 — overall 100% LNO; Scope of Statistical Output 50% NO. - Accuracy and Reliability — overall 100% LO; many elements LNO. - Serviceability and Accessibility — overall 100% LNO; Correction and Revision Policies and Practices 5% NO. - Selected actions: compile financial balance sheet and integrated statement of stocks and flows; compile and disseminate annual COFOG; improve recording of non-financial assets and accrual revenue; enforce regular GFS reconciliation through TOFE validation committee; publish methodology notes and a dedicated public GFS webpage. - Balance of Payments (BOP) and IIP - Alignment — overall 100% LO; Recommended scope of statistical output 50% LO. - Accuracy and Reliability — overall 100% LO; Revisions analysis and Reliability Monitoring 5% LNO. - Serviceability and Accessibility — overall 100% LO; Timeliness 30% LNO. - Selected actions: compile FISIM for periods before 2024; compile financial derivatives and insurance/pension assets/liabilities; adopt gross basis for merchanting; improve coverage for shuttle trade, smuggling, e‑commerce, remittances; produce integrated IIP with revaluation breakdowns; disclose data status (provisional, preliminary, final) next to datasets; publish advance release calendar and contact points. - Monetary and Financial Statistics (MFS) - Alignment to MFSMCG — overall 100% LO; Methods 10% NO; Scope of Statistical Output 50% O. - Accuracy and Reliability — overall 100% LO. - Serviceability and Accessibility — overall 100% LO; Correction and Revision Policy and Practice 5% LNO. - Selected actions: expand ODC reporting population to include deposit-taking microfinance institutions and mobile money operators; revalue securities at market/fair value; compile flow MFS decomposed into transactions, revaluations, and other changes; introduce estimation techniques and automated validation tools; develop procedures manual. - Public Sector Debt Statistics (PSDS) - Diagnostic assessment conducted; detailed findings in Module I and separate PSDS report. - Selected actions: harmonize terminology in quarterly debt bulletin with international standards; extend residence concept to holders of debt securities; expand institutional coverage with GFS; validate debt stocks by creditor, interest rate, and currency; implement debt management information system (e.g., DMFAS, Meridian or equivalent); use midpoint between buying and selling rates when converting foreign currency debt stocks into CFA; develop data revision policy; analyze PPP contracts for statistical treatment. ### Appendix I — SDDS Plus practices - Senegal has been an SDDS subscriber since November 20, 2017, and met all SDDS requirements at subscription. - Current dissemination practices do not meet all requirements for the nine SDDS Plus additional data categories. - SDDS Plus adherence requirements reiterated: meet at least five additional categories plus metadata and transition plan to meet all nine within five years from adherence. - Flexibility options under SDDS not used despite occasional timeliness challenges for labor market data, central government operations, central government debt and reserves template. - CDIS: coverage and periodicity met; timeliness not met (last submitted for 2022). - General Government Operations and General Government Total Gross Debt: disseminated at annual periodicity rather than SDDS Plus required periodicity. - NSDP: provides SDMX links for SDDS data; SDDS Plus adherence requires upgrading NSDP to include SDMX links for additional series and preparing metadata for new categories. ### Appendix II — Users’ Views (survey findings and recommendations) - Survey details: January–February 2026; nine responses (50 percent). - Key summary points: - High confidence in official macroeconomic statistics; all participants considered compilation methods appropriate and consistent with accepted standards. - Overall quality widely regarded as good; core datasets accessible and relevant. - Areas for improvement: transparency in revision practices; clearer and more comprehensive metadata dissemination; modest improvements in frequency and granularity of selected datasets; stronger communication and user engagement mechanisms. - Recommendations: modernization of website functionality and navigation; more machine-readable formats; consolidated access points for macroeconomic datasets; periodic consultations and structured feedback mechanisms. - Concluding note: survey consistent with a statistical system broadly trusted and technically sound, facing rising expectations for openness, responsiveness, and analytical depth. ### Authorities’ response (summary of commitments and positions) - Government commitment: - Expresses gratitude to IMF; commits to implementing ROSC recommendations aligned with SNDS IV 2024-2028. - Working towards SDDS Plus adherence. - Ongoing revision of statistical law and implementing regulations to reinforce ANSD’s coordinating role and applicability of standards to all producers of official statistics. - Will establish permanent interinstitutional coordination mechanism chaired by ANSD. - Authorities consider it essential that the Director General of ANSD be appointed solely on professional criteria but wish to retain current appointment process rather than adopt open, merit-based fixed-term appointment. - Integration across macroeconomic statistics: - Strengthen compilation of GFS and PSDS; develop financial balance sheets; institutionalize regular reconciliation among fiscal, debt, monetary, and external sector statistics; strengthen audit practices for public sector debt data; harmonize standards between ANSD and sectoral services; coordinate priority actions within NSDS IV. - Dataset responses - National Accounts: ANSD concurs with recommendations; will develop financial accounts progressively; reduce dissemination lags and improve revision transparency. - CPI: ANSD concurs; will refine OOH treatment, update weights, and strengthen documentation. - PPI: ANSD concurs; will extend coverage to agriculture and telecommunications and improve treatment of missing prices and quality adjustment. - GFS: ANSD and MFB concur; implementing TOFE validation committee (established October 2025); progressive accrual accounting aligned with new Government Chart of Accounts; SIGIF integration; plans for higher-frequency GFS and improved metadata and analytical reporting. - External Sector (BCEAO): broadly concurs; will strengthen consistency between BOP and IIP, improve valuation, and facilitate transition to BPM7. - MFS (BCEAO): concurs; will strengthen estimation techniques, validation, reconciliation with securities databases, and expand institutional coverage. - PSDS (MOF): concurs; will expand coverage (accounts payable, pension-related obligations where relevant), align with PSDSG 2013 classification, modernize debt management systems, improve reconciliation and creditor reconciliation, formalize revision policy, and enhance dissemination and user outreach. - Authorities cited recent measures including corrections to debt statistics and an inventory exercise by an internationally recognized firm as a reliable baseline. *International Monetary Fund — Report on the Observance of Standards and Codes—Data Module (Data ROSC), Senegal (2025 DQAF basis).* ### 1. Senegal’s Dissemination Practices of Additional Data Categories for SDDS Plus ________________ 25 ### 1. Senegal’s Dissemination Practices of Additional Data Categories for SDDS Plus ### Overall assessment - This Report on the Observance of Standards and Codes—Data Module (Data ROSC) updates Assessments conducted in 2002 and is based on the 2025 IMF’s Data Quality Assessment Framework (DQAF). - ANSD is responsible for national accounts, prices, and government finance statistics (the latter based on data provided by the Ministry of Finance (MOF)); BCEAO is responsible for monetary and financial, balance of payments, and international investment position statistics; MOF is responsible for public sector debt statistics. - Senegal has been a subscriber of the Special Data Dissemination Standard (SDDS) since November 2017 and is in observance of the SDDS. - To adhere to SDDS Plus Senegal must meet at least five of the additional nine data categories, along with their metadata and a transition plan outlining concrete steps to meet all nine data categories within five years from the date of adherence. ### Key findings by domain - National accounts - Follow the 2008 SNA with largely appropriate concepts and classifications. - Weaknesses: compilation of the financial account, extension to quarterly sectoral accounts, stronger validation of source data (government and corporate), more systematic investigation of statistical discrepancies, clearer documentation of sources, methods, and revision studies. - Prices (CPI and PPI) - CPI and PPI largely adhere to international concepts and methods. - Improvements: CPI weights updated and enhanced methodologies implemented in February 2025; PPI weights updated annually. - Remaining gaps: treatment of Owner-Occupied Housing (OOH) in the CPI, PPI coverage should be expanded to include agriculture and telecommunications, further quality adjustment and treatment of missing items. - External sector statistics (BOP and IIP) - Broadly consistent with BPM6; authorities intend to transition to BPM7. - Gaps: compilation of quarterly IIP largely as an accumulation of transactions (leading to negative positions of certain debt instruments), limitations in IRFCL scope for net international reserve assets, need to harmonize quarterly and annual BOP and IIP data, and to compile a fully integrated IIP and external debt statistics consistent with international methodology. - Monetary and financial statistics (MFS) - Methodological framework broadly consistent with MFSMCG and MFSM 2000 where applicable. - Gaps: incomplete institutional coverage (deposit-taking microfinance institutions and mobile money operators not yet included), securities at amortized cost not revalued at market price or fair value, absence of flow statistics limiting reconciliation with other macroeconomic statistics. - Government finance statistics (GFS) - Generally follow GFSM 2014 concepts; strength includes coverage of non‑market SOEs within general government. - Deviations and weaknesses: valuation and recording of non‑financial assets, absence of financial balance sheets and integrated statement of stocks and flows, no COFOG data, exclusion of BCEAO National Branch from public sector perimeter, limited coverage of in‑kind transactions, application of statistical techniques for capital injections. - Public sector debt statistics (PSDS) - Legal and administrative framework provides a foundation but requires strengthening. - Issues: lack of systematic oversight mechanism (except debt audit at start of presidential term), incomplete centralization of debt information with some externally financed projects and past borrowing outside DDP oversight, limited coverage of debt instruments (largely loans and debt securities). - Positive step: enactment of the 2026 Finance Law (LFI) prohibiting issuance and use of letters of comfort. - DDP subject to audits and reviews (Court of Accounts, Inspection Générale des Finances (IGF), PEFA, DeMPA) but faces resource constraints and fragmented information systems. ### Accuracy, reliability, and dissemination - Strengths - Long time series, regular publications, generally adequate source data. - Core datasets disseminated with adequate periodicity and timeliness (GDP, CPI, BOP and IIP, MFS, and GFS). - CPI and PPI disseminated monthly as announced in the advanced release calendar; some price statistics already SDMX-compliant. - Weaknesses - Cross-domain coherence incomplete; need stronger validation and methodological transparency. - Gaps in infra-annual public sector data limit compilation of quarterly general government operations. - Revision practices: absence of systematic revision analysis and lack of institutionalized structured revision cycles; recommendation to establish routine revision schedules, publish explanatory notes and updated metadata, and create a public revisions database distinguishing routine updates from methodological or comprehensive revisions. - MFS: limited information to revalue securities at amortized cost, occasional sectoral misclassification by reporting banks, persistent discrepancies in interbank positions, and lack of automated validation tools and a comprehensive compilation procedures manual. - Public sector debt: improvements from reconciliations with creditors and a special statistical bulletin, but further expansion of debt coverage and better metadata and revision documentation needed. - Serviceability and accessibility - Recommendation to reduce dissemination lags for national accounts to two quarters for annual estimates and one month for quarterly estimates and to publish time series alongside the new GDP benchmark. - Machine-readable dissemination (CSV, JSON, XML) should be expanded across all major datasets. - GFS dissemination: machine-readable formats with free and simultaneous access and pre-announced calendars exist, but absence of a dedicated public webpage, limited analytical commentary, incomplete documentation of sources and methods, and lack of identified contact points and feedback mechanisms reduce usability. ### Users’ views and engagement - Users generally expressed confidence in overall quality and methodological soundness but requested: - Clearer and more systematic communication on data revisions and methodological changes, including explicit revision policies. - Enhanced supporting documentation in more user-friendly formats. - Stronger engagement between data producers and users through structured consultations and feedback mechanisms. - Improved coordination across institutions, easier navigation of official websites, and more consolidated access to macroeconomic statistics. - Gradual improvements in data granularity and frequency for selected domains. - Strengthened institutional capacity (human, technical, legal) to sustain progress and maintain public confidence. ### Top-priority recommendations - Strengthen ANSD’s coordination mandate and institutionalize macroeconomic data reconciliation: - Ensure ANSD has a clear mandate as coordinator of the national statistical system and establish a permanent inter-agency committee chaired by ANSD to regularly reconcile key macroeconomic data. - Mitigate risks of debt data inconsistencies through integrated fiscal and national accounts: - Develop comprehensive GFS and PSDS covering the full public sector and compile national accounts financial accounts to capture financial assets and liabilities across sectors. - Institutionalize regular audits of the PSDS and reconciliation across sectors to detect inconsistencies in public sector liabilities. - Address the two-speed statistical system by harmonizing standards and practices across ANSD and sectoral agencies: - Specify in the new Statistical Law and regulations that standards and codes apply equally to the central and sectoral level to address extensive failings and insufficiencies at the sectoral level. - Additional governance and resource recommendations: - Amend the Loi de la Statistique to enhance credibility and independence of the NSS; appoint the ANSD Director General through an open, merit-based process for a fixed term with strictly limited grounds for dismissal. - Strengthen human resource management, expand training (including ENSAE—École Nationale de la Statistique et de l’Analyse Économique), and increase financial resources to the NSS. - Implement regular reviews of work processes, periodic costing procedures, and budgeting procedures to allocate resources efficiently. - Formalize the organization’s commitment to quality and develop tools to regularly remind staff of their ethical obligations. - Reinforce coordination among ANSD, BCEAO, and MOF, update and clarify the Statistical Law, and establish permanent coordination and harmonization mechanisms. *International Monetary Fund — Report on the Observance of Standards and Codes—Data Module (Data ROSC), Senegal (2025 DQAF basis).* ### 13. The remainder of this document is structured as follows. The remainder of Volume I ### 13. The remainder of this document is structured as follows. The remainder of Volume I ### Assessment overview - Assessments cover six macroeconomic datasets: national accounts, prices, government finance, monetary and financial, external sector and public sector debt statistics, conducted using the 2025 IMF DQAF framework. - Results are presented at the level of the DQAF elements using a four-point rating scale. - Institutional and legal environment and assurances of integrity (Dimensions “1” and “2”) are presented by institution. - Alignment to international statistical standards, accuracy and reliability, and serviceability and accessibility (Dimensions “3” to “5”) are presented by statistical domain. ### Table 1 — Data Quality Assessment Framework: summary points - Rating scale definitions (as presented): - O = Observed (90-100%) - LO = Largely Observed (60-89%) - LNO = Largely Not Observed (25-59%) - NO = Not Observed (below 25%) - Institutions assessed: ANSD, BCEAO, Ministry of Finance. - Selected element-level summaries (preserve original ratings): - Dimension 1 (Legal and Institutional Environment): overall entries show a predominance of LO and LNO across ANSD, BCEAO, and Ministry of Finance. - Dimension 2 (Assurances of Integrity): generally LO across institutions with some O entries in quality management practices. - Datasets (Dimension 3–5) summarized with original element ratings across: - National Accounts, Consumer Price Index, Producer Price Index, Government Finance Statistics, Monetary and Financial Statistics, External Sector Statistics, Public Sector Debt Statistics. - Examples of dataset-level ratings (as in Table 1): - Alignment to the International Statistical Standards (Dimension 3): entries include LO, O, and LNO across datasets. - Accuracy and Reliability (Dimension 4): many LO and O entries; Public Sector Debt Statistics shows several LNO entries. - Serviceability and Accessibility (Dimension 5): entries include LNO, O, LO, and LNO across datasets and elements such as periodicity, timeliness, revision policy, data accessibility, metadata accessibility, and assistance to users. ### STAFF’S PRIORITY RECOMMENDATIONS — Top priority recommendations A. Overarching Priority Recommendations - Strengthen ANSD’s Formal Mandate to Coordinate the National Statistical System. - Amend and operationalize the statistical law to explicitly designate ANSD as the coordinating authority for the National Statistical System, with responsibility to set statistical standards across institutions, ensure consistency of macroeconomic datasets, and coordinate revisions across agencies to prevent parallel or inconsistent official statistics. - Rationale: sectoral ministries and services generate key administrative data used in macroeconomic statistics, but coordination with ANSD and macroeconomic compilers (MoF, BCEAO) is uneven, contributing to inconsistent definitions, revisions, and reconciliation challenges. - Expected outcome: reduce the risk of parallel statistical outputs, inconsistent aggregates, and unverified administrative data entering official macroeconomic statistics. - Establish a High-Level Macroeconomic Statistics Coordination Committee. - Create a permanent inter-agency committee chaired by ANSD and including the Ministry of Finance, BCEAO, Debt management office, and key sector ministries and administrative data providers. - Committee functions: meet regularly to reconcile macroeconomic aggregates, review cross-dataset consistency checks (NA–BOP–GFS–MFS), review revisions across datasets, and address data discrepancies before publication. - Address the two-speed statistical system by harmonizing standards and practices across the ANSD and the sectoral agencies. - Issue: heterogeneity between the national statistical agency and decentralized agencies results in a two-speed system with relatively high standards at the national agency and extensive failings at the sectoral level. - Recommendation: institutional and legal framework should ensure standards and codes are harmonized across all providers of statistics, under the supervision of the ANSD. - Mitigate risks of public sector debt data inconsistencies by strengthening fiscal and financial statistics frameworks, collaboration, systematic reconciliation and audits. - Develop comprehensive GFS and PSDS covering the full public sector—central government, extra-budgetary units, social security funds, local governments, and public corporations—consistent with international statistical standards. - Advance compilation of financial accounts within the national accounts framework to provide a comprehensive view of financial assets and liabilities flows across institutional sectors. - Establish systematic reconciliation between fiscal statistics, debt statistics, balance of payments, monetary statistics, and national accounts to ensure consistency of public sector liabilities within and across datasets. - Institutionalize reconciliation practices under ANSD coordination. - Ensure audits of the PSDS by the Court of Accounts and/or Inspection Générale des Finances (IGF) are mandated and conducted regularly, in addition to the current requirement of an audit at the start of each new presidential term. ### OTHER PRIORITY RECOMMENDATIONS H3: A. Legal and Institutional Environment — Agence Nationale de la Statistique et de la Démographie (ANSD) Legal Framework - Key findings: - The Statistical Law establishes the ANSD as the central statistical agency, but its authority to coordinate the entire National Statistical System (NSS) remains insufficiently operationalized. - Sectoral ministries often produce statistics independently with limited methodological harmonization or reconciliation with macroeconomic datasets, contributing to a “two-speed statistical system.” - Recommendation: - Strengthen Senegal’s statistical law in line with the priorities of SNDS IV and the principles of the African Charter on Statistics to reinforce ANSD’s coordinating authority, clarify institutional mandates, and establish formal mechanisms for cross-dataset reconciliation. Adequacy of staff levels - Finding: less than adequate staff levels for the entire statistical system, with insufficiencies at the sectoral level. - Recommended measures: - Harmonize HR management across the entire NSS, notably evaluate salary levels in respect to the public sector, for the ANSD and sectoral services respectively, and ensure that management personnel, turnover, and career development are appropriately administered at the sectoral level. - Develop an HR recruitment and staff allocation plan that covers both the ANSD and the sectoral services, to ensure that all branches of the NSS are adequately staffed. - Review and evaluate the impact of the recently created ENSAE to ensure that graduates match the human resource needs of the NSS. - Ensure that resources are sufficient to allow hiring needed statisticians and technicians, especially graduates from ENSAE. - Undertake a comprehensive HR strategy tailored to build up capacity to respond to new data needs (e.g., metadata) with specialized career streams, such as IT specialists. - Expand the use of information technology in data collection, analysis, and compilation to supplement staff resources and increase efficiency. Quality - Recommended actions to strengthen quality management practices across the NSS: - Establish staff training programs that emphasize the importance of quality and clarify how to incorporate quality practices to statistical operations. - Implement externally recognized processes (e.g., GSBPM, GSIM, ISO standards, or other recognized frameworks) to strengthen quality management, with appropriate adaptation to country specific conditions where necessary. - Ensure that information on quality commitment (including trade-offs affecting the statistical work program) is regularly communicated to staff. - Put in place measures for systematic monitoring and review of quality, and set up monitoring processes (e.g., indicators like response rates, editing rates, revision history) to inform managers about current quality levels of ongoing statistical activities. - Undertake periodic reviews to identify steps necessary to improve data quality, especially for core outputs. H3: B. BCEAO — Legal, institutional and resource recommendations Legal and Institutional Framework - Observation: the 2004 Statistical Law, revised in 2012, and complemented by the 2024 Regulation on External Financial Relations, provides a comprehensive legal foundation and clarifies responsibilities among institutions including ANSD and BCEAO. - Recommendation: Updating the Statistical Law will provide an opportunity to clarify responsibilities and roles for the BCEAO and to establish a governmental policy that assigns clearly the authority to coordinate the national statistical system, including issuing common standards, methods, and classifications and enhance data reconciliation practices. Adequacy of Staffing Resources - Mission recommends: - Ensure that the number of staff assigned to statistical programs is sufficient to meet the quality requirements (scope, timeliness, frequency, accuracy and reliability, serviceability, and accessibility), and that staff qualifications and skills sufficiently cover the methodological and analytical needs. - Ensure that the Statistical Unit has an adequate number of data scientists to handle new data sources (big data, administrative data) and advanced analytics. - Ensure that the Statistical Unit has an adequate number of administrative staff to handle new data sources (big data, administrative data) and advanced analytics. Cost Effectiveness Practices - Mission recommends: - Costing procedures (measuring resources used to compile statistics) should be carried out periodically and compared across programs and budgeting procedures in place to help management allocate resources among competing statistical priorities. - Seek efficiencies through periodic reviews of work processes (e.g., cost-effectiveness of surveys, consistency of methods across datasets). - Carry out periodically and compare costing procedures across programs (measuring resources used to compile the statistics). - Put in place budgeting procedures to help management allocate resources among competing statistical priorities. - Pursue standardization, integration, and automation of production/dissemination to save costs and optimize operations. - Regularly conduct staff opinion/satisfaction surveys and act on the feedback received. H3: C. Ministry of Finance (MoF) Legal and Institutional Framework - Finding: the 2004 Statistical Law, revised in 20012, established responsibilities in collection, production and dissemination of statistics, notably for public sector and debt statistics; updating the Law is an opportunity to clarify coordination authority and enhance reconciliation practices. - Recommendations: - Audits of the quality of the PSDS by the Court of Accounts and/or IGF are mandated and conducted regularly, complementing the current requirement of an audit at the start of each new presidential term. - The production and dissemination of PSDS are centralized and consolidated within a single unit, including projects financed by external donors. Adequacy of Technological Resources - Mission recommends: - Ensure that overall computing resources are sufficient to compile and disseminate the statistical programs (hardware, software, and network). - Guarantee that the software used for compiling and analyzing statistics are effective, regularly updated, and well adapted to current and emerging tasks. - Consider the acquisition of a debt management information system interconnected with other PFM systems to enable timely exchange of information. Such a system, such as the Meridian debt management and analysis system (DMFAS), or equivalent, should enable manual processing to be minimized and debt reports to be produced in line with international standards. H3: B. National Accounts (NA) Alignment with International Standards - Recommendations: - Develop financial accounts, initially on an annual basis, and progressively reconcile net lending/borrowing estimates with those derived from the capital account. - Expand the dissemination of expenditure‑based GDP estimates by individual consumption expenditure by purpose (COICOP) categories in both current prices and volume terms to allow comparison with CPI weights and household survey results. - Expand the dissemination of sectoral accounts by including supplementary breakdowns for foreign‑controlled corporations, public corporations, and national private corporations, if relevant, for enhanced analytical usefulness. Accuracy and Reliability - Recommendations: - Ensure closer consistency between price statistics and national accounts valuation principles, including alignment in coverage, price concepts, reference periods, and treatment of quality change, to improve the accuracy of deflated aggregates. - Reinforce the investigation of statistical discrepancies and potential sources of bias, by establishing systematic procedures to analyze discrepancies between potential discrepancies in intermediate data, and by conducting regular studies to assess the stability and magnitude of potential biases in GDP estimates over time. - Strengthen and better document revision studies and analyses, including assessments of the scale, direction, and volatility of revisions, to support internal quality management and enhance transparency for users. Serviceability and Accessibility - Recommendations: - Improve the timeliness of quarterly GDP and labor market statistics with the objective of gradually reducing dissemination lags to 60 days and then 30 days. - Enhance the dissemination of revision analyses, including the regular publication of reports explaining the sources and impacts of revisions for key aggregates and the development of a publicly accessible revisions database. - Improve the scope, detail, and accessibility of methodological documentation, by expanding sources‑and‑methods materials to provide clearer information on survey characteristics, coverage of reporting sectors, use of administrative data sources, compilation practices, and any deviations from internationally accepted standards. H3: C. Consumer Price Index (CPI) Alignment with International Standards - Recommendation: - Include an expenditure weight for OOH based on rental equivalence. Accuracy and Reliability - Recommendations: - Assess how the price change of OOH could be best estimated in the CPI. - Conduct studies of long-term price trends to identify potential systematic biases and assess other potential sources of bias in the CPI. Serviceability and Accessibility - Finding: - ANSD practices largely comply with international standards and best practices. ANSD provides broad access to CPI data. H3: D. Producer Price Index (PPI) Alignment with International Standards - Recommendations: - Expand the scope of the indexes to include agriculture and telecommunications. - Implement methods for the replacement of permanently missing prices. - Implement quality adjustment methods. *Source: IMF Staff Calculations from DQAF 3.0, as presented in the documented assessment.* ### 34. The mission recommends: ### 34. The mission recommends: ### Serviceability and Accessibility - Introduce weighting at the lowest level of aggregation (individual product/transaction level) using data collection from establishments during survey respondent initiation. --- ### 35. ANSD practices - ANSD practices comply with international standards and recommendations, and practices comply. --- ### E. Government Finance Statistics (GFS) ### Alignment with International Standards - Compile and disseminate the financial balance sheet including by the counterparty alongside an integrated statement of stocks and flows for the general government. The latter is key for improving stock-flows adjustments. - Compile and disseminate annual COFOG data for the general government sector. - Gradually improve the reporting of transactions in non-financial assets for BCG, especially for externally financed projects through the application of GFSM 2014 principles and time of recording. - Gradually improve the recording of revenue on an accrual basis, while maintaining a degree of flexibility to avoid the risk of revenue overestimation in parallel with the implementation of SIGIF. ### Accuracy and Reliability - Further assess available infra-annual data sources for social security and EBUs to produce high frequency (monthly/ quarterly) general government GFS. - Enforce regular GFS data reconciliation with other macro frameworks through the newly established TOFE validation committee. - Implement a systematic stock-flow reconciliation process for data consistency. ### Serviceability and Accessibility - Compile and disseminate quarterly general government GFS data supported by reliable quarterly estimates for extrabudgetary units to provide more comprehensive and timely information for policy making. - Publish the internal methodology note on the compilation of the consolidated GG TOFE and link it to GFS releases. - Create a dedicated public GFS webpage maintained by the Division of Economic Studies and Statistics (DEES), presenting standardized tables, time series, detailed metadata and GFS specific analytical publications, accompanying monthly, quarterly and annual data releases. - Strengthen analytical presentation by regularly publishing analysis on fiscal developments covering the BCG and GG to facilitate user interpretation. - Identify clearly and report revisions transparently within GFS published data including explanatory notes and major changes in fiscal aggregates. --- ### F. Balance of Payments Statistics (BOP) and International Investment Position (IIP) ### Alignment with International Statistical Standards - Revise data for several IIP components that have negative positions. - Improve data sources and statistical techniques for certain BOP and IIP components and discontinue estimating quarterly IIP as the accumulation of balance of payments transactions. - Apply statistical techniques to exclude effects of exchange rate and price variations from the balance of payments transactions for certain components. ### Accuracy and Reliability - Establish regular reconciliation processes between BOP and IIP statistics and other macroeconomic datasets to enhance overall data consistency and quality and provide clear explanations for any identified discrepancies. - Align the valuation, coverage and classification of external debt statistics, in accordance with the international methodological guidelines and ensure that revised IIP coverage is fully reflected in external debt statistics, with consistency maintained between the two datasets. ### Serviceability and Accessibility - Formally document and publicly disclose the revision policy and revision practices, for both regular and ad-hoc revisions, which would include the scope, frequency, and rationale for revisions. - Improve the timeliness of publishing final data. - Metadata accompanying published data should clearly explain the compilation specificities of reserve assets and the reasons why net international reserve assets cannot be derived from the IRFCL template. --- ### G. Monetary and Financial Statistics (MFS) ### Alignment with International Statistical Standards - Adopt and systematically apply sound statistical estimation techniques, consistent with international standards, when deriving estimates for missing or incomplete data, and document these methods in the compilation procedures. ### Accuracy and Reliability - Conduct periodic data reconciliation exercises with securities market databases, particularly those of the Central Securities Depository of the regional stock exchange and the WAEMU Banking Commission. ### Serviceability and Accessibility - Notify users of significant revisions and clearly explain their impact on previously published data. --- ### H. Public Sector Debt Statistics (PSDS) ### Background - A diagnostic assessment of the PSDS quality was conducted as part of a project, funded by the Government of Japan, to strengthen the quality of public debt statistics in Africa. Key findings and recommendations are summarized; further detail is in a separate report. ### Alignment with International Standards - To provide a more comprehensive picture of public debt, expand PSDS instrument coverage to include accounts payable and, progressively, pension-related liabilities and expand and harmonize the institutional coverage with Government Finance Statistics (GFS). - To align with statistical standards, adopt the classification of debt instruments in accordance with the Public Sector Debt Statistics Guide (PSDSG) 2013 and extend the concept of residence to holders of debt securities. ### Accuracy and Reliability - Improve the reliability of data on loans (both domestic and external) by harmonizing their recording in the debt system with that of budget and treasury systems, and by reconciling data periodically with all creditors. - Make better use of available detailed source data for extra-budgetary entities and non-financial public corporations to improve coverage, granularity and quality of reported public debt data. ### Serviceability - Eliminate inconsistencies across the various disseminations of debt data. - Establish the methodology and collect the data required to conduct periodic reconciliations between quarterly central government debt data and external debt statistics, as well as monetary and financial statistics. Analyze and explain discrepancies and, where appropriate, update revised data and metadata. ### Accessibility - Enhance the scope and quality of metadata by ensuring that all information required for public sector debt statistics (PSDS) is comprehensively documented and disseminated. - Establish and publicize a clearly identified contact point to facilitate user access to published debt statistics and strengthen communications efforts. --- ### Appendix I. Practices Compared to the SDDS Plus - Senegal has been a subscriber to the Special Data Dissemination Standard (SDDS) since November 20, 2017, and met all SDDS requirements at the time of its subscription. - Senegal’s dissemination practices currently do not meet all the requirements for the nine data categories additionally required under the SDDS Plus. - To adhere to the SDDS Plus, Senegal must meet at least five of the additional nine data categories, along with their metadata and a transition plan outlining the concrete steps to meet all nine data categories within five years from the date of adherence. - Senegal does not make use of flexibility options for the periodicity and timeliness available under the SDDS, despite facing occasional challenges in meeting the timeliness requirements for labor market data, central government operations, central government debt and reserves template. - Senegal meets coverage and periodicity for the Coordinated Direct Investment Survey (CDIS) but does not meet the timeliness requirement with data last submitted for 2022. - For General Government Operations and General Government Total Gross Debt, data is disseminated but only at annual periodicity rather than SDDS Plus required periodicity. - Senegal currently provides all links to data for SDDS in its National Summary Data Page (NSDP) in SDMX format; adherence to SDDS Plus will require upgrading NSDP to include SDMX links for additional SDDS Plus data series and preparing metadata for the new data categories. --- ### Appendix II. Users’ Views (Data ROSC mission survey, January – February 2026) ### Survey coverage and response - Nine (of) 18 responses were received (50 percent) from representatives of government agencies, private sector institutions, consulting entities, and international organizations. ### Use and perceived quality of official statistics - Datasets most frequently used: National Accounts; Balance of Payments and International Investment Position (BOP/IIP); Government finance statistics; and Financial and monetary statistics. - Users reported regular use of official statistics for economic monitoring, policy analysis, research, and program implementation. ### Coverage, Frequency, and Timeliness - Users view overall coverage as adequate but desire greater granularity (more detailed sectoral breakdowns in national accounts; expanded data on foreign direct investment, including reinvested earnings; additional disaggregation in fiscal and debt statistics). - Higher-frequency data—particularly for GDP and selected external sector and fiscal indicators—is in demand; frequency is not identified as a systemic weakness but there is demand for incremental improvements. - Timeliness is broadly viewed as satisfactory; some respondents noted the lag between reference period and publication could be shortened for selected datasets and requested more predictable release calendars and clearer communication on revisions. ### Methodology and Consistency - All respondents (100 percent; 9 out of 9) consider the statistical methods used to be sound and appropriate. - A majority (78 percent; 7 out of 9) consider official statistics to be unbiased and accurate. - 89 percent (8 out of 9) rated overall statistical quality as “Good.” - 67 percent (6 out of 9) consider supporting methodological documentation to be sufficiently clear and detailed; one-third of respondents indicated documentation could be strengthened. - Users called for more comprehensive and accessible metadata; clearer explanations of data sources and compilation techniques; more systematic documentation of revision policies; and advance communication regarding significant methodological changes. ### Accessibility and Supporting Information - Official macroeconomic statistics are generally accessible via official government and central bank websites, institutional publications, and direct requests to statistical agencies. - Users suggested modernization of dissemination practices: improved website navigation and search functionality; more user-friendly data formats (including machine-readable formats where feasible); and consolidated access points for macroeconomic datasets. - Sixty-seven percent (6 out of 9) of respondents consider documentation sufficiently clear and detailed; one-third indicated that metadata and explanatory materials could be strengthened. *Source: 1senea2026001 - 34. The mission recommends:* ### 14. The survey results indicate that technical documentation exists but may not always be ### 1senea2026001 - 14. The survey results indicate that technical documentation exists but may not always be ### Accessibility and quality of technical documentation - Technical documentation exists but may not always be: - easily accessible, - systematically updated, or - presented in a user-oriented format. - Strengthening metadata dissemination would enhance transparency and alignment with international best practices under the IMF’s data standards initiatives. ### Communication, revisions, and methodological changes - Respondents called for improved communication practices, particularly regarding significant revisions and methodological changes. - Identified needs: - Advance notice of major revisions. - Clearer explanations of the rationale for changes. - Clear and publicly available revision policies. - Greater transparency around data sources and compilation techniques. - Suggested user engagement mechanisms to support communication and trust: - periodic user consultations; - feedback channels; - outreach sessions or technical briefings; - greater interaction between compilers and key institutional users. ### Institutional foundations and capacity - Recommendations to reinforce institutional foundations of the statistical system included: - enhancing human and technical capacity to support timely compilation and dissemination; - strengthening legal and governance arrangements to safeguard professional independence; - improving coordination among institutions involved in macroeconomic data production. - These measures are presented as important to sustain data quality over time and to address a minority of respondents’ reservations regarding impartiality or documentation clarity. ### Data dissemination, serviceability, and user relations - Respondents recommended improvements in data dissemination and user relations, including: - modernization of website functionality and navigation; - greater availability of machine-readable data formats; - periodic consultations with users; - structured feedback mechanisms to assess evolving data needs. - Strengthened user engagement was viewed as important for ensuring continued relevance and responsiveness of official statistics. - The survey suggests modest improvements in frequency and granularity of selected datasets would enhance usability. ### Survey findings and overall assessment - The January – February 2026 user survey indicates a high level of confidence in Senegal’s official macroeconomic statistics. - Key summary points: - All participants considered compilation methods appropriate and consistent with accepted standards. - Overall quality is widely regarded as good, and core datasets are accessible and relevant for policy analysis, research, and decision-making. - Areas for continued improvement: transparency in revision practices; clearer and more comprehensive metadata dissemination; modest improvements in frequency and granularity of selected datasets; stronger communication and user engagement mechanisms. - A minority of respondents expressed reservations regarding impartiality or documentation clarity, highlighting the importance of reinforcing governance arrangements and professional independence. - Although based on a limited number of responses, the survey results are consistent with a statistical system that is broadly trusted and generally technically sound, while facing rising expectations for openness, responsiveness, and analytical depth. - Continued attention recommended to: institutional capacity, transparency, and dissemination practices to sustain and deepen user confidence and to ensure that official statistics remain fit for surveillance and policy purposes. *Report on the Observance of Standards and Codes—Data Module Volume II (Senegal); based on a user survey (January – February 2026) and a mission conducted during March 4-12,2026; prepared by Statistics Department, August12, 2026.* ### 24. MFS Serviceability and Accessibility__________________________________________________________27 ### 24. MFS Serviceability and Accessibility ### Legal and Institutional Environment; Assurances of Integrity (ANSD, BCEAO, Ministry of Finance) - ANSD: Overall Assessment for Legal and Institutional Environment — 100% LO - Element-level ratings (ROSC): Legal Environment 10% LO; Independence of NSS 20% LO; Coordinating the NSS 15% LNO; Assuring Statistical Confidentiality and Data Security 10% LO; Response burden is minimized 10% LO; Adequacy of human resources 15% LNO; Adequacy of information technology resources 5% LO; Adequacy of physical infrastructure 5% LO; Cost-effectiveness practices 5% LNO; Relevance practices 2.5% LO; Quality management practices 2.5% LNO. - ANSD: Assurances of Integrity — Overall Assessment 100% LO - Institutional Integrity 60% LO; Transparency 30% LO; Ethical Standards 10% LO. - ANSD recommendations (selected): - Ensure the head of ANSD is appointed through an open, merit-based process for a fixed term with strictly limited grounds for dismissal. - Implement periodic reviews of work processes (e.g., cost-effectiveness of surveys, consistency of methods across datasets). - Carry out periodic costing procedures and compare costs across programs. - Put in place budgeting procedures to allocate resources among competing statistical priorities. - Systematically pursue standardization, integration, and automation of production and dissemination. - Conduct regular staff opinion/satisfaction surveys with follow-up action plans. - Formalize a written, publicly available quality policy and an explicit statement of the organization’s commitment to quality. - Develop tools (training, workshops, annual review/acknowledgement) to remind staff of ethical obligations. - BCEAO: Overall Assessment for Legal and Institutional Environment — 100% LO - Element-level ratings (ROSC): Legal Environment 10% LO; Independence of NSS 20% LO; Coordinating the NSS 15% LNO; Assuring Statistical Confidentiality and Data Security 10% LO; Response burden is minimized 10% LO; Adequacy of human resources 15% LO; Adequacy of information technology resources 5% LO; Adequacy of physical infrastructure 5% LO; Cost-effectiveness practices 5% LNO; Relevance practices 2.5% LO; Quality management practices 2.5% O. - BCEAO: Assurances of Integrity — Overall Assessment 100% LO - Institutional Integrity 60% O; Transparency 30% LO; Ethical Standards 10% LO. - BCEAO recommendations (selected): - Update the Statistical Law to clarify responsibilities and roles for the BCEAO. - Provide a clear legal mandate for BCEAO data collection, including powers for compulsory surveys when necessary. - Explicitly outline fundamental principles of Official Statistics in legislation. - Ensure the head of the statistical unit has full authority over organizational structure and staffing. - Require staff to sign confidentiality forms as part of employment. - Publicly disclose internal governmental pre-release access to statistics and regularly review such agreements. - Remind staff of ethical obligations through training/workshops or annual acknowledgement. - Ministry of Finance: Overall Assessment for Legal and Institutional Environment — 100% LO - Element-level ratings mirror ANSD/BCEAO pattern with Quality management practices 2.5% O. - Ministry of Finance recommendations (selected): - Ensure an adequate number of data scientists and administrative staff for new data sources and advanced analytics. - Develop workplace programs to support staff training, professional development, and career advancement. - Establish MOUs or other data exchange agreements with land registry authorities. - Establish a funding horizon (2–3 years or more) to support strategic planning for statistical developments. - Conduct periodic costing procedures and reinforce budgeting procedures. - Deploy IT effectively (automation, online data collection, integrated databases) and standardize production/dissemination. - Monitor and report indicators on resource usage to management. - Finalize and publish the code of ethics and professional conduct for Treasury staff; include statistical ethical responsibilities. - Make terms and conditions of data collection, processing, and dissemination publicly available. - Establish mechanisms and agreements on internal government access to statistics to be regularly reviewed. ### National Accounts (NA) - Alignment with 2008 SNA — Overall Assessment 100% LO - Element weights and ROC ratings: Concepts & Definitions 15% O; Accounting Rules 10% O; Statistical Methods 10% LO; Classifications 15% O; Scope of Statistical Output 50% LO. - Total S&Cs: 191; # S&Cs Assessed 161; # S&Cs Not Relevant 30. - Accuracy and Reliability — Overall Assessment 100% LO - Elements: Adequacy of Source Data 40% LO; Accuracy of Source Data 5% LO; Rigorous Statistical Techniques 10% LO; Rigorous Quality Assurance 10% LO; Revision Analysis and Reliability Monitoring 5% LNO; Data consistency 30% LO. - Total S&Cs: 222; # S&Cs Assessed 222; # S&Cs Not Relevant 0. - Serviceability and Accessibility — Overall Assessment 100% LNO - Elements: Periodicity 30% LO; Timeliness 30% LNO; Correction and Revision Policies and Practices 5% LNO; Data accessibility 10% LO; Metadata accessibility 20% LNO; Assistance to users 5% LNO. - Total S&Cs: 72; # S&Cs Assessed 72; # S&Cs Not Relevant 0. - National Accounts recommendations (selected): - Improve measurement of agricultural work-in-progress by recognizing growing crops in inventories until harvest and including them in gross capital formation. - Institutionalize monitoring and adjustment of transfer prices within enterprise groups. - Improve timeliness/periodicity of income-based GDP by disseminating quarterly GNI. - Initiate calculation and dissemination of net domestic product (NDP), explicitly treating resource depletion alongside consumption of fixed capital. - Commence compilation of balance sheets and recording of natural resources as a separate asset category (Mineral and energy resources, non-cultivated biological resources, water resources, and other natural resources). - Enhance measurement of non-market output for government, central bank, and NPISHs. - Expand gross fixed capital formation to fully cover SNA asset boundary items (entertainment, literary and artistic originals, cultivated biological resources, weapons systems used repeatedly for non-combat purposes). - Record government transactions fully on an accrual basis. - Institutionalize a comprehensive revision policy and strengthen revision analysis with regular publication of diagnostics. - Update benchmark practices at least every five years and reconcile benchmark changes across annual and quarterly series. - Integrate environmental-economic accounts with core national accounts; gradually expand monetary valuation of natural assets starting with commercially exploitable resources. - Improve metadata specificity for national accounts, including documentation of non-observed economy methods. - Enhance analytical commentary accompanying national accounts releases. - Advance national accounts extensions: capital stock estimates (perpetual inventory method), productivity indicators (labor and, where feasible, multi-factor), labor accounts (initially annual), and digital supply and use tables. ### Consumer Price Index (CPI) - Alignment with CPI Manual 2020 — Overall Assessment 100% O - Elements: Concepts & Definitions 20% LO; Accounting Rules 10% O; Statistical methods 30% O; Classifications 10% O; Scope of Statistical Output 30% O. - Total S&Cs: 46; # S&Cs Assessed 44; # S&Cs Not Relevant 2. - Accuracy and Reliability — Overall Assessment 100% O - Elements: Source Data Adequacy 40% O; Accuracy of Source Data is Regularly Assessed 15% O; Rigorous Statistical Techniques 10% O; Rigorous Quality Assurance Practices 10% O; Revision Analysis and Reliability Monitoring 5% O; Data Consistency 30% O. - Total S&Cs: 63; # S&Cs Assessed 63; # S&Cs Not Relevant 0. - Serviceability and Accessibility — Overall Assessment 100% O - Elements: Periodicity 30% O; Timeliness 30% O; Correction and Revision Policy and Practice 5% LO; Data Accessibility 10% O; Metadata Accessibility 20% O; Assistance to Users 5% O. - Total S&Cs: 50; # S&Cs Assessed 49; # S&Cs Not Relevant 1. - CPI recommendations (selected): - Expand coverage to include owner-occupied housing (OOH). - Assess how the price change of OOH could be best estimated in the CPI. - Implement a revisions policy in case of errors. - CPI data availability: CPI data are available in a variety of formats, including APIs and SDMX formats. ### Producer Price Index (PPI) - Alignment with PPI Manual 2010 — Overall Assessment 100% O - Elements: Concepts & Definitions 10% O; Accounting Rules 30% O; Statistical methods 10% O; Classifications 10% O; Scope of Statistical Output 40% O. - Total S&Cs: 29; # S&Cs Assessed 27; # S&Cs Not Relevant 2. - Accuracy and Reliability — Overall Assessment 100% O - Elements: Source Data Adequacy 20% O; Accuracy of Source Data is Regularly Assessed 10% O; Rigorous Statistical Techniques 10% LO; Rigorous Quality Assurance Practices 10% O; Data Consistency 50% O. - Total S&Cs: 32; # S&Cs Assessed 32; # S&Cs Not Relevant 0. - Serviceability and Accessibility — Overall Assessment 100% O - Elements: Periodicity 30% O; Timeliness 30% O; Correction and Revision Policy and Practice 5% O; Data Accessibility 10% O; Metadata Accessibility 20% O; Assistance to Users 5% O. - Total S&Cs: 43; # S&Cs Assessed 38; # S&Cs Not Relevant 5. - PPI recommendations (selected): - Expand scope to include agriculture and telecommunications. - Move from long-term to short-term comparisons to facilitate treatment of missing prices and introduction of new products. - Implement quality adjustment methods and methods for replacement of disappearing items. - Include explicit description of error and revisions policy in methodology notes. - PPI data availability: PPI data are available in a variety of formats, including APIs and SDMX formats. ### Government Finance Statistics (GFS) - Alignment with GFSM 2014 — Overall Assessment 100% LNO - Elements: Concepts & Definitions 15% LO; Accounting Rules 10% LNO; Methods 10% LO; Classifications 15% LO; Scope of Statistical Output 50% NO. - Total S&Cs: 128; # S&Cs Assessed 108; # S&Cs Not Relevant 20. - Accuracy and Reliability — Overall Assessment 100% LO - Elements: Source Data Adequate 40% LO; Accuracy of Source Data is Assessed 5% LNO; Rigorous Statistics Methods 10% LO; Rigorous Quality Assurance Practices 10% LNO; Revision Analysis 5% LNO; Data Consistency 30% LNO. - Total S&Cs: 141; # S&Cs Assessed 111; # S&Cs Not Relevant 30. - Serviceability and Accessibility — Overall Assessment 100% LNO - Elements: Periodicity 30% LO; Timeliness 30% LNO; Correction and Revision Policies and Practices 5% NO; Data accessibility 10% LO; Metadata accessibility 20% LNO; Assistance to users 5% LNO. - Total S&Cs: 64; # S&Cs Assessed 64; # S&Cs Not Relevant 0. - GFS recommendations (selected): - Include estimates of depreciation (consumption of fixed capital) in expenses and transactions in nonfinancial assets. - In collaboration with WAEMU, ANSD, and BCEAO, include the national branch of the Central Bank of West African States within the perimeter of public financial corporations in accordance with GFSM 2014. - Align treatment and classification of employer-related benefits with GFSM 2014 by estimating imputed contributions and imputed charges. - Gradually integrate non-monetary operations to support transition toward GFSM 2014 and WAEMU TOFE directive. - Broaden GFS outputs: compile and publish Balance Sheet, Statement of Other Economic Flows, Integrated Statement of Flows and Stock positions, and counterparty breakdowns by Institutional Sector, beginning with the BCG sector. - Assess whether long time series should be adjusted to reflect revised 2019–2024 data and document adjustments in metadata. - Expand use of available data sources to provide full coverage of flows and stocks of the public sector. - Publish more comprehensive metadata on data sources and compilation procedures, and provide information about quality assurance and data revisions. - Develop and publish a formal revisions policy for GG sub-sector datasets and publish revision studies. - Enhance assistance to users by designating contact points, establishing feedback mechanisms, and conducting user outreach. ### Balance of Payments (BOP) and International Investment Position (IIP) - Alignment with international statistical standards — Overall Assessment 100% LO - Element weights and ROC ratings: Concepts & definitions 15% O; Accounting rules 10% LO; Methods 10% LO; Classifications 15% LO; Recommended scope of statistical output 50% LO. - Total S&Cs: 176; # S&Cs Assessed 138; # S&Cs Not Relevant 38. - Accuracy and Reliability — Overall Assessment 100% LO - Elements: Adequacy of Source Data 40% LO; Accuracy of Source Data 5% LO; Statistical Techniques 10% LO; Quality Assurance Practices 10% LO; Revisions analysis and Reliability Monitoring 5% LNO; Data consistency 30% LO. - Total S&Cs: 152; # S&Cs Assessed 134; # S&Cs Not Relevant 18. - Serviceability and Accessibility — Overall Assessment 100% LO - Elements: Periodicity 30% O; Timeliness 30% LNO; Correction and revisions policy and practice 5% LNO; Data Accessibility 10% LNO; Metadata Accessibility 20% LNO; Assistance to users 5% LNO. - Total S&Cs: 67; # S&Cs Assessed 48; # S&Cs Not Relevant 19. - BOP/IIP recommendations (selected): - Compile and disseminate data on FISIM for periods before 2024 and start compiling financial derivatives and external assets/liabilities related to insurance and pension funds in line with international standards. - Adopt gross basis principle for dissemination of merchanting data (record goods acquired under merchanting as negative exports). - Enhance coverage and estimation methodologies for shuttle trade, smuggling, e‑commerce, and remittance flows with ANSD cooperation. - Establish methods to better identify and measure global manufacturing arrangements (manufacturing services, merchanting, factoryless goods production). - Disseminate more granular data on other business services in line with BPM7 using already available data. - Develop and publish an integrated IIP with detailed breakdowns of revaluations due to exchange rate changes, price changes, and volume changes. - Adjust data sources and statistical techniques to ensure alignment with BPM7 recommendations in cooperation with BCEAO-Headquarters. - Improve data sources to separately identify nonperforming loans in the IIP. - Reconcile quarterly and annual BOP and IIP data. - Explore alternative data sources for flows and external positions of the general government (ITRS, bank surveys) to verify administrative data and ensure internationally recognized valuation and coverage. - Expand and enhance the business register emphasizing BPM7 requirements and establish robust statistical procedures for grossing-up survey data. - Clearly disclose status of data (provisional, preliminary, final) next to datasets and provide methodological explanations. - Ensure preliminary estimates are reconciled and aligned with revised data once final information is available. - Disseminate ESS using SDMX standards. - Publish additional breakdowns for certain BOP and IIP components (supplementary components, currency breakdowns). - Make advance release calendar publicly available and establish contact point(s) for BOP/IIP statistics. ### Monetary and Financial Statistics (MFS) - Alignment to the MFSMCG — Overall Assessment 100% LO - Elements: Concepts & Definitions 15% LO; Accounting Rules 10% LO; Methods 10% NO; Classifications and Presentations 15% O; Scope of Statistical Output 50% O. - Total S&C: 102; # of S&C Assessed 73; # of S&C Not Relevant 29. - Accuracy and Reliability — Overall Assessment 100% LO - Elements: Source Data Adequate 40% LO; Accuracy of Source Data is Assessed 5% LO; Statistical Techniques/Methods 10% LO; Quality Assurance Practices 10% LO; Revision Analysis 5% LNO; Data Consistency 30% LO. - Total S&C: 174; # S&Cs Assessed 94; # S&Cs Not Relevant 80. - Serviceability and Accessibility — Overall Assessment 100% LO - Elements: Periodicity 30% O; Timeliness 30% O; Correction and Revision Policy and Practice 5% LNO; Data Accessibility 10% LO; Metadata Accessibility 20% LO; Assistance to Users 15% O. - Total S&Cs: 62; # S&Cs Assessed 50; # S&Cs Not Relevant 12. - MFS recommendations (selected): - Expand institutional coverage by incorporating deposit-taking microfinance institutions and mobile money operators into the ODC reporting population. - Strengthen valuation practices for financial instruments so securities and marketable instruments are recorded at market or fair value for statistical purposes per MFSMCG. - Expand coverage of MFS to other financial corporations, beginning with non-deposit-taking microfinance institutions and other financial intermediaries for which BCEAO collects source data. - Compile flow MFS decomposed into transactions, revaluations, and other changes in the volume of assets. - Introduce statistical estimation techniques where source data gaps exist. - Strengthen data validation procedures with automated tools to detect structural breaks, outliers, and plausibility issues. - Develop a procedures manual for monetary statistics, including guidelines on documenting anomalies and corrective actions. - Improve banks’ reporting forms to enable revaluation of securities portfolios recorded at amortized cost. - Periodically revise AID reporting forms to reflect developments in the SMF. - Examine origin of large balances in foreign-currency miscellaneous accounts since 2018 and undertake necessary reclassifications. - Review large holdings of securities by banks reportedly issued by other financial corporations in 2023 and by local governments since 2022 for correct sectoral classification. - Assess large amounts recorded as loans from other financial corporations and nonfinancial corporations to determine if they should be classified as deposits and included in broad money aggregate. - MFS Serviceability and Accessibility (Table 24 summary) - Periodicity 30% O; Timeliness 30% O; Correction and Revision Policy and Practice 5% LNO; Data Accessibility 10% LO; Metadata Accessibility 20% LO; Assistance to Users 15% O. - Total S&Cs: 62; # of S&Cs Assessed 50; # of S&Cs Not Relevant 12. ### Public Sector Debt Statistics (PSDS) - Diagnostic assessment conducted in coordination with the data ROSC mission; detailed findings in Module I and separate PSDS report. - PSDS recommendations (selected): - Harmonize terminology in the quarterly debt bulletin with international standards and extend the residence concept to holders of debt securities while considering WAEMU market specifics. - Expand and harmonize institutional coverage with GFS to ensure consistency between transactions and changes in debt stocks for general government and, progressively, the public sector. - Improve data entry quality and controls by validating consistency of debt stocks by creditor, interest rate, and currency; ensure continuous reconciliation among the DODP, the DDP, and the Treasury. - Implement a new debt management information system (e.g., DMFAS, Meridian) to minimize manual processing and generate debt reports compliant with international standards. - Present consolidated debt data in accordance with GFSM 2014 recommended format. - Use the midpoint between the buying and selling rate when converting foreign currency debt stocks into CFA. - Produce a detailed table explaining integration of debt stocks and flows within a GFSM 2014 framework. - Minimize manual adjustments through an appropriate debt management information system. - Analyze PPP contracts for statistical treatment and impact on debt statistics (ongoing projects: construction of training centers and seawater desalination plant). - Develop and integrate a data revision policy into the DDP’s work procedures. - Strengthen user outreach and awareness regarding debt data. ### Authorities’ Response - The PDF includes a Response of the Authorities (VOLUME III: RESPONSE OF THE AUTHORITIES) dated "August 12, 2026" and contains sections A–H addressing responses to recommendations for National Accounts, CPI, PPI, GFS, External Sector Statistics, MFS, and PSDS. - Contents page lists: A. Introduction; B. Response to the National Accounts Statistics Recommendations; C. Response to the Consumer Price Index Recommendations; D. Response to the Producer Price Index Recommendations; E. Response to the Government Finance Statistics Recommendations; F. Response to the External Sector Statistics Recommendations; G. Response to the Monetary and Financial Statistics Recommendations; H. Response to the Public Sector Debt Statistics Recommendations. *Source: IMF staff report — 24. MFS Serviceability and Accessibility (excerpts and tables as provided in the supplied PDF content).* ### 1. The Government of Senegal expresses its gratitude to the IMF for having promptly ### 1senea2026001 - 1. The Government of Senegal expresses its gratitude to the IMF for having promptly ### Government commitment, legal and institutional reforms - The Government of Senegal expresses gratitude to the IMF for agreeing to carry out a comprehensive assessment through the data Report on the Observance of Standards and Codes (ROSC). - The assessment identified strengths, weaknesses, and scope for improving the national statistical system. - Authorities commit to implementing ROSC recommendations, which largely support the Quatrième Stratégie Nationale de Développement de la Statistique (SNDS IV 2024-2028). - The authorities view the report as an important contribution to strengthening the National Statistical System and improving quality, coverage, and dissemination of macroeconomic statistics. - The Government is working towards adhering to the SDDS Plus of the IMF. - Ongoing revision of statistical law and implementing regulations: - Explicitly reinforces ANSD’s role as coordinating authority of the National Statistical System. - Will clearly establish the applicability of statistical standards and codes to all producers of official statistics. - Will strengthen ANSD’s role in defining methodological standards and providing technical guidance. - Authorities will establish a permanent interinstitutional coordination mechanism, chaired by ANSD and involving the Ministry of Finance, the BCEAO, and other key data-producing entities, to ensure regular reconciliation of macroeconomic aggregates, consistent methodologies, and coordination of revision cycles across datasets. - The authorities consider it essential that the Director General of ANSD be appointed solely on the basis of professional criteria but wish to retain the current appointment process rather than adopting an open, merit-based fixed-term appointment with narrowly defined dismissal grounds. ### Strengthening integration across macroeconomic statistics - Authorities intend to strengthen compilation of government finance statistics and public sector debt statistics by improving integration of stock and flow data. - Development of financial balance sheets within the national accounts framework will continue to provide a comprehensive view of financial assets and liabilities by institutional sector. - Plan to institutionalize regular reconciliation exercises among fiscal, debt, monetary, and external sector statistics. - Intend to strengthen audit practices for public sector debt data through enhanced collaboration with oversight institutions. - Emphasis on harmonizing standards and practices between ANSD and sectoral statistical services to address the “two-speed” nature of the statistical system. - Efforts to strengthen capacities of sectoral services and harmonize human resource practices across the National Statistical System. - Priority actions to be coordinated within NSDS IV, described as a structured and costed roadmap for strengthening Senegal’s statistical system over the medium term. - Authorities note recent far-reaching measures, including corrections made to debt statistics, and commit to working closely with development partners and ambitious technical assistance programs. ### National Accounts (response) - ANSD concurs with ROSC assessment and recommendations to align national accounts statistics with international statistical standards and improve accuracy and reliability. - ANSD recognizes need to: - Strengthen methodological comprehensiveness, internal consistency, and analytical usefulness. - Expand scope of the accounts via progressive development of financial accounts and extension of sectoral accounts to better capture economic activity and financial interrelationships among institutional sectors. - Improve consistency between national accounts and other statistical domains, particularly price statistics and fiscal data, through better alignment of valuation principles and more systematic reconciliation of aggregates. - Strengthen analysis of statistical discrepancies and improve documentation of sources, methods, and revision practices. - Progressively reduce dissemination lags for quarterly and annual estimates and enhance transparency of revisions through more systematic analysis and communication. ### Consumer Price Index (CPI) (response) - ANSD concurs that the CPI is broadly consistent with international standards and provides a reliable measure of price developments, while acknowledging methodological improvements remain necessary. - Specific needs acknowledged: - Further refine treatment of owner-occupied housing. - Continue strengthening robustness of price measurement. - Undertake analytical work to identify potential sources of bias and improve accuracy over time, including updating expenditure weights and strengthening compilation practices. - Improve methodological transparency and documentation to enhance user understanding and confidence in the index. ### Producer Price Index (PPI) (response) - ANSD concurs with ROSC assessment and recognizes need to expand PPI coverage and refine compilation practices. - Intentions include: - Extend coverage to additional sectors, notably agriculture and telecommunications. - Strengthen treatment of missing prices, introduce appropriate quality-adjustment methods, and refine weighting structures at detailed aggregation levels. - Maintain consistency with international statistical guidelines. ### Government Finance Statistics (GFS) (response) - ANSD and the Ministry of Finance and Budget (MFB) concur that GFS are broadly consistent with international standards but shortcomings remain. - Recognized needs: - Improve recording of non-financial assets and develop more comprehensive balance-sheet information. - Strengthen consistency between GFS and national accounts, monetary and financial statistics, and public sector debt statistics. - Enhance interinstitutional data reconciliation practices. - Institutional, accounting, and procedural reforms being implemented: - Establishment in October 2025 of a formal TOFE validation committee, chaired by the Director General of the DGCPT, to enhance GFS quality. - Progressive implementation of accrual accounting aligned with the new Government Chart of Accounts to improve valuation and timeliness of transaction recording and provide source data for balance sheets. - Digitalization and integration of systems, notably integration of accounting and treasury systems under the Integrated Financial Information Management System (SIGIF). - Plans to improve frequency, timeliness, and accessibility of GFS: - Develop more comprehensive high-frequency data. - Enhance accessibility of metadata by disseminating methodological notes currently available internally. - Produce more detailed analytical reports and strengthen transparency of revision practices. - Expected outcome: significantly enhanced analytical usefulness and policy relevance of GFS. ### External Sector Statistics (response) - BCEAO broadly concurs with ROSC assessment and recommendations; methodologies generally sound but coverage, consistency, and compilation practices need improvement. - BCEAO recognizes need to: - Strengthen consistency between balance of payments and international investment position statistics. - Improve valuation methods and address methodological issues affecting certain components. - Enhance reconciliation of external sector statistics with other macroeconomic datasets. - Strengthen data sources to improve sectoral breakdowns, facilitate the transition to BPM7, and enhance overall quality of external sector statistics. - Improve timeliness, strengthen metadata, and clearly communicate compilation practices and revision policies. ### Monetary and Financial Statistics (response) - BCEAO concurs with ROSC recommendations to align monetary and financial statistics with international statistical standards and improve accuracy and reliability. - BCEAO agrees to: - Strengthen estimation techniques for incomplete or missing data and systematically document these methods in compilation procedures. - Enhance consistency and reliability through strengthened data validation and reconciliation practices. - Reinforce coordination with relevant institutions, including securities market authorities, to facilitate regular reconciliation of monetary data with securities databases and other financial sector information systems. - Progressively strengthen institutional coverage of monetary statistics by better integrating emerging financial intermediaries and evolving financial instruments in line with financial sector developments and international methodological standards. ### Public Sector Debt Statistics (response) - Ministry of Finance concurs with diagnostic assessment and ROSC findings, particularly need to expand institutional and instrument coverage of public sector debt statistics. - Specific coverage expansion considerations: - Gradual incorporation of additional liabilities such as accounts payable and, where relevant, pension-related obligations. - Closer alignment with coverage of government finance statistics. - Authorities recognize need to: - Further align classification of debt instruments with the Public Sector Debt Statistics: Guide for Compilers and Users (2013). - Strengthen treatment of residence while accounting for specific characteristics of the regional WAEMU financial market. - Modernize the debt management system, including assessing integrated debt recording platforms to reduce reliance on manual processes and enhance quality and timeliness of data compilation. - To strengthen accuracy and reliability: - Improve data reconciliation across systems and institutions via systematic reconciliation of debt data with fiscal, treasury, and creditor records. - Note that the TOFE validation committee established in October 2025 is an important first step toward enhancing internal consistency and comprehensiveness of integrated debt and public finance reporting. - Regular reconciliation exercises with all creditors, the General Treasury, and the General Revenue Directorate have contributed to improving data quality. - An inventory exercise carried out by an internationally recognized consulting firm provided a sufficiently reliable and comprehensive baseline position. - Authorities agree to better use available detailed data sources to improve coverage and granularity of public sector debt statistics, notably for extra budgetary entities and public corporations. - Plans to improve usability and accessibility: - Develop and formalize a revision policy for debt statistics. - Improve documentation of compilation methods and metadata. - Strengthen communication with users through clearer dissemination practices and establishment of accessible contact points. - Reference existing instruments supporting transparency: the Procedures Manual for the Public Borrowing Process, the quarterly public debt statistical bulletin, and a dashboard for monitoring newly signed financing agreements (currently being finalized). - Expected outcome: enhanced usability, credibility, and policy relevance of public sector debt statistics. *Source: Government of Senegal responses to the ROSC mission as presented in the provided content.* --- _Source: https://www.imf.org/-/media/files/publications/cr/2026/english/1senea2026001.pdf_