type: benchmark-matrix title: "Cross-Country Tourism Measurement Benchmark Matrix" status: draft center: Vietnam
This matrix synthesizes key features of the tourism measurement systems in Vietnam, Thailand, Malaysia, Singapore, Indonesia, and China.
| Dimension | Vietnam (Baseline Axis) | Thailand | Malaysia | Singapore | Indonesia | China |
|---|---|---|---|---|---|---|
| 1. Responsible Agencies | • VNAT (Cục Du lịch QGVN) • GSO (Tổng cục Thống kê) • Cục QL Xuất nhập cảnh (Bộ Công an) • Local Departments of Tourism |
• MoTS (Ministry of Tourism & Sports) • TAT (Tourism Authority of Thailand) • NSO (National Statistical Office) • Immigration Bureau |
• MOTAC (Ministry of Tourism, Arts & Culture) • DOSM (Dept. of Statistics Malaysia) • Tourism Malaysia • Immigration Dept. |
• STB (Singapore Tourism Board) • DOS (Dept. of Statistics Singapore) • ICA (Immigration & Checkpoints Authority) |
• Kemenparekraf (Ministry of Tourism & Creative Econ) • BPS (Badan Pusat Statistik) • Bank Indonesia • DG of Immigration |
• MCT (Ministry of Culture & Tourism) • CTA (China Tourism Academy) • NBS (National Bureau of Statistics) • NIA (National Immigration Admin) |
| 2. Arrival Measurement | • Immigration border checks (entry records) • Transitioning to e-visa databases |
• Immigration records • TDAC (Thailand Digital Arrival Card) • Biometric gates |
• Immigration records (MyIMMs) • MDAC (Malaysia Digital Arrival Card, mandatory 2024) |
• 100% digital border records • SGAC (SG Arrival Card) required for all |
• Immigration check-points • Electronic arrival/visa databases |
• Border inspection systems • National Immigration Administration (NIA) data |
| 3. Receipts / Spending Methods | • GSO sample surveys (International Visitor Survey) • Periodic household travel surveys • Local lodging revenue reports |
• Border exit surveys • Accommodation surveys • Integrated under TSA framework |
• DOSM surveys (Inbound & Domestic Surveys) • Hotel and industry business surveys |
• Overseas Visitor Survey (OVS) at Changi/ports • Hotel occupancy & enterprise records • Card payment/telco partnerships |
• BPS passenger surveys • Bank Indonesia BOP/foreign exchange records (Devisa) |
• NBS/MCT sample surveys • Telco triangulation (China Mobile/Unicom/Telecom) • Payment data (Alipay/WeChat Pay) • OTA records |
| 4. TSA Framework Implementation | • Under Development / Pilot • Trial TSA models launched (2012) • Lacks annual operational run due to I-O table lag |
• Mature / Operational • Managed by MoTS • Publishes annual national & regional TSAs |
• Mature / Operational • Managed by DOSM • Publishes annual TSAs (e.g. 2024 TSA in Sept 2025) |
• Mature / Operational • Managed by DOS in partnership with STB • Publishes annual TSAs |
• Operational • Managed by BPS • Standardized but suffers from publication lag |
• Operational • Jointly run by NBS & MCT since 2013 • Tailored for domestic-heavy sector |
| 5. Key Indicators Published | • International Visitor Arrivals • Domestic Visitor Trips • Total Tourism Receipts • Occupancy Rate (AOR) • Average Stay (ALOS) |
• Arrivals & receipts • Receipts per capita • Tourism GDP contribution • Regional TSA indicators |
• Arrivals & domestic trips • Spending components (shopping, F&B, hotel) • TSA GDP contribution (15.1% in 2024) • Employment |
• Visitor Arrivals & ALOS • Receipts by 5 segments (Shopping, Hotel, etc.) • Hotel Stats (AOR, ARR, RevPAR) • MICE events & spending |
• Arrivals & domestic trips • Tourism GDP contribution • Foreign exchange earnings • Employment |
• Trip counts (inbound/outbound/domestic) • Total tourism receipts • Tourism value-added to GDP • Holiday-specific daily metrics |
| 6. Data Collection Methods | • Immigration records • Paper/digital declarations • GSO survey sampling • Local department reporting |
• Border gates data • Exit/expenditure surveys • Integrated digital databases |
• MyIMMs databases • DOSM surveys • Monthly accommodation reports |
• 100% digital SGAC data • OVS survey interviews • Telco/merchant data agreements |
• Border checkpoint records • BPS surveys • Bank Indonesia payment tracking |
• NIA databases • NBS national sample surveys • Mobile/telco data • Payment & booking APIs |
| 7. Reporting Frequency | • Arrivals: Monthly • Overall metrics: Monthly/Quarterly/Annual • Statistical Yearbook: Annual |
• Arrivals & indicators: Monthly • TSA: Annual |
• Domestic Survey: Quarterly • TSA/GDP: Annual • Bulletins: Monthly |
• Arrivals: Monthly • Receipts: Quarterly • TSA: Annual |
• Arrivals: Monthly • Domestic/Hotel: Monthly • TSA: Annual (with lag) |
• Overall metrics: Monthly/Quarterly/Annual • Major holidays: Daily during periods |
| 8. Public Accessibility | • VNAT & GSO websites (PDF reports, bulletins) • Limited raw dataset access • Primary data in Vietnamese |
• MoTS website • TAT Data Catalog ( datacatalog.tat.or.th) with APIs• Interactive dashboards |
• DOSM and Tourism Malaysia portals • OpenDOSM ( open.dosm.gov.my) with APIs• myGOV dashboard |
• STAN (stan.stb.gov.my) dashboard• TIH ( tih.stb.gov.my) developer API portal• Tcube platform |
• BPS database website • Kemenparekraf dashboard (Satu Data) • BI database portal |
• NBS & MCT websites • CTA publications • Raw data mostly in Chinese |
| 9. System Strengths | • Clear regulatory mandates (Tourism Law 2017) • Ongoing local smart tourism trials |
• Advanced big data platforms (TAT-AI, TIC) • Regional TSA granularity |
• Central DOSM ownership of TSA • High transparency (OpenDOSM portal) |
• 100% digital border inputs (SGAC) • Unified analytics (STAN) & content (TIH) • Deep private partnerships |
• Multi-agency triangulation (BPS, BI, Immigration) • Satu Data metadata compliance |
• Scale of big data integration (Telco, Alipay, Trip.com) • Real-time holiday monitoring |
| 10. System Weaknesses | • Lacks regular operational TSA • Lack of unified national data platform • Silos between Immigration and VNAT/GSO |
• Border land-traffic tracking complexity • Inter-agency alignment friction |
• Land borders classification challenges (day-trippers vs tourists) | • High reliance on digital inputs (less tracking of cash/informal) | • Decentralization leads to regional quality gaps • Lag in TSA reporting |
• Regional vs national statistics mismatches • Restricted access to raw data |