{ "template": "Corridor pair risk profile", "pageType": "Corridor pair risk profile", "source": "api", "generatedAt": "2026-08-29T11:47:59.590Z", "seo": { "title": "Vietnam exports to Malta: Trade Route Risk | Yugalinks", "description": "Understand reported exports from Vietnam to Malta, the product routes that need a closer look, and the conditions that may affect planning." }, "publisher": { "name": "Yugalinks", "url": "https://www.yugalinks.com", "email": "support@yugalinks.com", "linkedin": "https://in.linkedin.com/company/yugalinks" }, "exporter": { "iso3": "VNM", "country_name": "Vietnam" }, "importer": { "iso3": "MLT", "country_name": "Malta" }, "latestYear": 2024, "risk": { "exporter_iso3": "VNM", "importer_iso3": "MLT", "all_history_lane_count": 20, "current_lane_count": 12, "current_product_count": 12, "first_observed_last_year": 2000, "latest_data_year": 2024, "current_trade_usd": 108556427.23769648, "attention_trade_usd": 106449471.8855707, "critical_trade_usd": 0, "high_volatility_trade_usd": 1285278.2417531873, "unrecovered_drawdown_trade_usd": 288061.9031345505, "declining_demand_trade_usd": 0, "concentrated_market_trade_usd": 106649207.03233664, "access_friction_trade_usd": 0, "buyer_macro_weakness_trade_usd": 0, "critical_lane_count": 0, "high_attention_lane_count": 2, "high_volatility_lane_count": 3, "unrecovered_drawdown_lane_count": 3, "declining_demand_lane_count": 0, "concentrated_market_lane_count": 6, "access_friction_lane_count": 0, "trade_weighted_volatility_cv": 0.5945389610225208, "trade_weighted_below_peak_pct": 37.18199097365878, "product_concentration_hhi": 6787.760143009143, "top1_product_share_pct": 80.48497898889111, "top3_product_share_pct": 98.98055825622758, "top_product_hs6": "890190", "top_product_trade_usd": 87371617.65335089, "top_product_description": "Vessels: n.e.s. in heading no. 8901, for the transport of goods and other vessels for the transport of both persons and goods", "top_attention_product_hs6": "890190", "top_attention_product_reason": "The buyer market is concentrated among relatively few suppliers", "distance_km": 8780.33984375, "shares_land_border": 0, "shares_official_language": 0, "common_spoken_language_score": 0.0017000000225380063, "has_reported_fta": 1, "avg_applied_tariff_pct": 5.429653240913043, "avg_mfn_tariff_pct": 6.226882878260868, "avg_preferential_tariff_pct": 2.0011611699468594, "tariff_advantage_pp": 4.225721708314009, "buyer_biz_entry_days": 20.5, "buyer_biz_entry_cost_pct": null, "buyer_gdp_mn_latest": 17189.73047, "buyer_gdp_pc_latest": 33257, "buyer_population_latest": 516.869, "buyer_gdp_5y_cagr_pct": 8.855531987507813, "buyer_gdp_pc_5y_cagr_pct": 6.248388157003593, "buyer_population_5y_cagr_pct": 2.4538196538582913, "buyer_investment_5y_avg_pct": 22.568, "buyer_savings_5y_avg_pct": 34.748000000000005, "buyer_macro_resilience_label": "Buyer macro trend resilient", "attention_trade_share_pct": 98.05911505588483, "critical_trade_share_pct": 0, "risk_driver_labels": [ "high_volatility", "unrecovered_drawdown", "concentrated_product_mix", "concentrated_buyer_markets" ], "attention_level": "High attention", "primary_risk_reason": "Buyer-market concentration is the largest observed corridor exposure", "buyer_gdp_mn_2024": 17189.73047, "buyer_gdp_pc_2024": 33257, "buyer_population_2024": 516.869 }, "history": [ { "year": 1995, "exporter_iso3": "VNM", "importer_iso3": "MLT", "export_value_usd": 269499.66342733946, "yoy_growth_pct": null, "cagr_3y_pct": null }, { "year": 1996, "exporter_iso3": "VNM", "importer_iso3": "MLT", "export_value_usd": 266146.2943618761, "yoy_growth_pct": -1.2442943426411612, "cagr_3y_pct": null }, { "year": 1997, "exporter_iso3": "VNM", "importer_iso3": "MLT", "export_value_usd": 316009.4588590326, "yoy_growth_pct": 18.73524657433634, "cagr_3y_pct": null }, { "year": 1998, "exporter_iso3": "VNM", "importer_iso3": "MLT", "export_value_usd": 387934.13296765607, "yoy_growth_pct": 22.76029153314303, "cagr_3y_pct": 12.91022046589374 }, { "year": 1999, "exporter_iso3": "VNM", "importer_iso3": "MLT", "export_value_usd": 545733.4589747888, "yoy_growth_pct": 40.676834698711396, "cagr_3y_pct": 27.04377378941649 }, { "year": 2000, "exporter_iso3": "VNM", "importer_iso3": "MLT", "export_value_usd": 1142836.7359633907, "yoy_growth_pct": 109.41298671888582, "cagr_3y_pct": 53.4951661595461 }, { "year": 2001, "exporter_iso3": "VNM", "importer_iso3": "MLT", "export_value_usd": 434431.1721189728, "yoy_growth_pct": -61.986593670988775, "cagr_3y_pct": 3.8454953354974286 }, { "year": 2002, "exporter_iso3": "VNM", "importer_iso3": "MLT", "export_value_usd": 517896.17675625713, "yoy_growth_pct": 19.212480593917114, "cagr_3y_pct": -1.730056149359216 }, { "year": 2003, "exporter_iso3": "VNM", "importer_iso3": "MLT", "export_value_usd": 883909.1559518452, "yoy_growth_pct": 70.67304135899204, "cagr_3y_pct": -8.207369950793764 }, { "year": 2004, "exporter_iso3": "VNM", "importer_iso3": "MLT", "export_value_usd": 903450.1676058891, "yoy_growth_pct": 2.2107488673992703, "cagr_3y_pct": 27.64223722301957 }, { "year": 2005, "exporter_iso3": "VNM", "importer_iso3": "MLT", "export_value_usd": 1621968.5848881204, "yoy_growth_pct": 79.53049797824264, "cagr_3y_pct": 46.3074960696831 }, { "year": 2006, "exporter_iso3": "VNM", "importer_iso3": "MLT", "export_value_usd": 3539769.4958937485, "yoy_growth_pct": 118.23909099558261, "cagr_3y_pct": 58.801932543288096 }, { "year": 2007, "exporter_iso3": "VNM", "importer_iso3": "MLT", "export_value_usd": 1214555.1452646307, "yoy_growth_pct": -65.6882984422134, "cagr_3y_pct": 10.366603749574432 }, { "year": 2008, "exporter_iso3": "VNM", "importer_iso3": "MLT", "export_value_usd": 2531285.5925639244, "yoy_growth_pct": 108.41257002063918, "cagr_3y_pct": 15.993299658695248 }, { "year": 2009, "exporter_iso3": "VNM", "importer_iso3": "MLT", "export_value_usd": 2773856.8115392136, "yoy_growth_pct": 9.582925754718573, "cagr_3y_pct": -7.805923416331694 }, { "year": 2010, "exporter_iso3": "VNM", "importer_iso3": "MLT", "export_value_usd": 3376535.9192129388, "yoy_growth_pct": 21.727116741087226, "cagr_3y_pct": 40.61059478016069 }, { "year": 2011, "exporter_iso3": "VNM", "importer_iso3": "MLT", "export_value_usd": 5103769.930158144, "yoy_growth_pct": 51.15402448755286, "cagr_3y_pct": 26.332952831992216 }, { "year": 2012, "exporter_iso3": "VNM", "importer_iso3": "MLT", "export_value_usd": 17892882.445546478, "yoy_growth_pct": 250.58168158830102, "cagr_3y_pct": 86.15102131633783 }, { "year": 2013, "exporter_iso3": "VNM", "importer_iso3": "MLT", "export_value_usd": 5556241.390288324, "yoy_growth_pct": -68.94719781903409, "cagr_3y_pct": 18.060126374371464 }, { "year": 2014, "exporter_iso3": "VNM", "importer_iso3": "MLT", "export_value_usd": 9610572.863293137, "yoy_growth_pct": 72.9689584777818, "cagr_3y_pct": 23.48647557565542 }, { "year": 2015, "exporter_iso3": "VNM", "importer_iso3": "MLT", "export_value_usd": 43669767.28067779, "yoy_growth_pct": 354.39296805574605, "cagr_3y_pct": 34.63775340338591 }, { "year": 2016, "exporter_iso3": "VNM", "importer_iso3": "MLT", "export_value_usd": 62286852.69715203, "yoy_growth_pct": 42.63151964336571, "cagr_3y_pct": 123.80601813608791 }, { "year": 2017, "exporter_iso3": "VNM", "importer_iso3": "MLT", "export_value_usd": 8838125.835505866, "yoy_growth_pct": -85.81060777227233, "cagr_3y_pct": -2.7543235509574937 }, { "year": 2018, "exporter_iso3": "VNM", "importer_iso3": "MLT", "export_value_usd": 72918007.91196856, "yoy_growth_pct": 725.0392591043592, "cagr_3y_pct": 18.63640354844247 }, { "year": 2019, "exporter_iso3": "VNM", "importer_iso3": "MLT", "export_value_usd": 18191819.001650102, "yoy_growth_pct": -75.05167855982508, "cagr_3y_pct": -33.65219190513309 }, { "year": 2020, "exporter_iso3": "VNM", "importer_iso3": "MLT", "export_value_usd": 12824924.213469982, "yoy_growth_pct": -29.50169407299683, "cagr_3y_pct": 13.21349793504314 }, { "year": 2021, "exporter_iso3": "VNM", "importer_iso3": "MLT", "export_value_usd": 8182626.213331204, "yoy_growth_pct": -36.1974692627266, "cagr_3y_pct": -51.766071069795295 }, { "year": 2022, "exporter_iso3": "VNM", "importer_iso3": "MLT", "export_value_usd": 191057264.5908208, "yoy_growth_pct": 2234.913750301201, "cagr_3y_pct": 118.99245036914033 }, { "year": 2023, "exporter_iso3": "VNM", "importer_iso3": "MLT", "export_value_usd": 27327400.708178304, "yoy_growth_pct": -85.69674868594804, "cagr_3y_pct": 28.68102330473421 }, { "year": 2024, "exporter_iso3": "VNM", "importer_iso3": "MLT", "export_value_usd": 120706730.75829297, "yoy_growth_pct": 341.70586162689426, "cagr_3y_pct": 145.25220738045414 } ], "riskLanes": [ { "exporter_iso3": "VNM", "importer_iso3": "MLT", "hs_code": "890190", "hs_description": "Vessels: n.e.s. in heading no. 8901, for the transport of goods and other vessels for the transport of both persons and goods", "buyer_imports_latest_usd": 4227858768.961337, "current_below_peak_pct": 44.378307507871554, "lane_volatility_cv": 0.66953975914719, "attention_level": "High attention", "primary_risk_reason": "The buyer market is concentrated among relatively few suppliers", "risk_driver_labels": [ "concentrated_buyer_market", "dominant_supplier" ] }, { "exporter_iso3": "VNM", "importer_iso3": "MLT", "hs_code": "890110", "hs_description": "Cruise ships, excursion boats and similar vessels, principally designed for the transport of persons, ferry boats of all kinds", "buyer_imports_latest_usd": 1184999011.9606009, "current_below_peak_pct": 3.8430084904459467, "lane_volatility_cv": 0.16668812239959804, "attention_level": "High attention", "primary_risk_reason": "The buyer market is concentrated among relatively few suppliers", "risk_driver_labels": [ "concentrated_buyer_market", "dominant_supplier", "limited_history" ] }, { "exporter_iso3": "VNM", "importer_iso3": "MLT", "hs_code": "640299", "hs_description": "Footwear: n.e.s. in heading no. 6402, (other than just covering the ankle), with outer soles and uppers of rubber or plastics", "buyer_imports_latest_usd": 15228917.493486544, "current_below_peak_pct": 44.10873478622018, "lane_volatility_cv": 1.6291552901647648, "attention_level": "Watch", "primary_risk_reason": "Trade has varied substantially across reported years", "risk_driver_labels": [ "high_volatility" ] }, { "exporter_iso3": "VNM", "importer_iso3": "MLT", "hs_code": "160414", "hs_description": "Fish preparations: tunas, skipjack and Atlantic bonito (sarda spp.), prepared or preserved, whole or in pieces (but not minced)", "buyer_imports_latest_usd": 15280584.424425578, "current_below_peak_pct": 42.46298436058631, "lane_volatility_cv": 0.9156255265906961, "attention_level": "Stable", "primary_risk_reason": "No material risk condition is currently identified", "risk_driver_labels": [] }, { "exporter_iso3": "VNM", "importer_iso3": "MLT", "hs_code": "610910", "hs_description": "T-shirts, singlets and other vests: of cotton, knitted or crocheted", "buyer_imports_latest_usd": 15580499.126673922, "current_below_peak_pct": 0, "lane_volatility_cv": 1.8995519095376718, "attention_level": "Watch", "primary_risk_reason": "Trade has varied substantially across reported years", "risk_driver_labels": [ "high_volatility" ] }, { "exporter_iso3": "VNM", "importer_iso3": "MLT", "hs_code": "851762", "hs_description": "Communication apparatus (excluding telephone sets or base stations): machines for the reception, conversion and transmission or regeneration of voice, images or other data, including switching and routing apparatus", "buyer_imports_latest_usd": 42024498.53133232, "current_below_peak_pct": 66.20124028489501, "lane_volatility_cv": 0.9157644193831624, "attention_level": "Watch", "primary_risk_reason": "Current trade remains more than 50% below its historical peak", "risk_driver_labels": [ "unrecovered_drawdown" ] }, { "exporter_iso3": "VNM", "importer_iso3": "MLT", "hs_code": "847150", "hs_description": "Digital processing units: other than those of subheadings 8471.41 or 8471.49, whether or not containing in the same housing one or two of the following types of unit: storage units, input units or output units", "buyer_imports_latest_usd": 14582546.671633534, "current_below_peak_pct": 42.340050720244655, "lane_volatility_cv": 0.7596783242022945, "attention_level": "Watch", "primary_risk_reason": "The buyer market is concentrated among relatively few suppliers", "risk_driver_labels": [ "concentrated_buyer_market", "limited_history" ] }, { "exporter_iso3": "VNM", "importer_iso3": "MLT", "hs_code": "940360", "hs_description": "Furniture: wooden, other than for office, kitchen or bedroom use", "buyer_imports_latest_usd": 32648857.029637456, "current_below_peak_pct": 71.22859575917587, "lane_volatility_cv": 0.8184818198319177, "attention_level": "Watch", "primary_risk_reason": "Current trade remains more than 50% below its historical peak", "risk_driver_labels": [ "unrecovered_drawdown", "concentrated_buyer_market", "dominant_supplier" ] }, { "exporter_iso3": "VNM", "importer_iso3": "MLT", "hs_code": "382499", "hs_description": "Chemical products, mixtures and preparations: n.e.c. heading 3824", "buyer_imports_latest_usd": 30483010.31707639, "current_below_peak_pct": 43.26539994575034, "lane_volatility_cv": 0.5746452854608646, "attention_level": "Watch", "primary_risk_reason": "The buyer market is concentrated among relatively few suppliers", "risk_driver_labels": [ "concentrated_buyer_market", "dominant_supplier" ] }, { "exporter_iso3": "VNM", "importer_iso3": "MLT", "hs_code": "210690", "hs_description": "Food preparations: n.e.s. in item no. 2106.10", "buyer_imports_latest_usd": 36018704.797818035, "current_below_peak_pct": 28.725766524966513, "lane_volatility_cv": 0.5574226179728418, "attention_level": "Stable", "primary_risk_reason": "No material risk condition is currently identified", "risk_driver_labels": [] } ], "accessProfile": { "year": 2024, "exporter_iso3": "VNM", "importer_iso3": "MLT", "distance_km": 9512, "shares_land_border": 0, "shares_official_language": 0, "shares_ethnic_language": 0, "shared_religion": 0, "shared_legal_system": 1, "shared_colonial_history": 0, "has_fta": 1, "rta_coverage_ratio": 2, "exporter_is_wto": 1, "importer_is_wto": 1, "exporter_is_eu": 0, "importer_is_eu": 1, "importer_gdp_million_usd": 17189.73047, "importer_gdp_per_capita_usd": 33257.42203537066, "importer_population": 516.869, "importer_biz_entry_days": 20.5, "importer_biz_entry_cost_pct": 6.7, "exporter_gdp_million_usd": 362637.524071, "exporter_gdp_per_capita_usd": 3694.018970960344, "avg_applied_tariff_pct": 5.429653240913043, "avg_mfn_tariff_pct": 6.226882878260868, "avg_preferential_tariff_pct": 2.0011611699468594, "tariff_advantage_pp": 4.225721708314009 }, "sourceAttribution": { "publisher": "OECD", "dataset": "Balanced international merchandise trade statistics (BIMTS) - HS2017-6D", "year": 2025, "citation": "OECD (2025), Balanced international merchandise trade statistics (BIMTS) - HS2017-6D, OECD Data Explorer (accessed on 2026-08-29)", "sourceUrl": "https://data-explorer.oecd.org/", "dataflowUrl": "https://sdmx.oecd.org/sti-public/rest/dataflow/OECD.SDD.TPS/DSD_BIMTS_6D@DF_BIMTS_HS2017_6D/1.0", "termsUrl": "https://www.oecd.org/termsandconditions/", "terms": "OECD Terms & Conditions", "accessed": "2026-08-29", "supportingSources": [ { "publisher": "CEPII", "dataset": "BACI bilateral trade flows", "release": "202601", "citation": "Gaulier, G. and Zignago, S. (2010), BACI: International Trade Database at the Product-Level. The 1994-2007 Version, CEPII Working Paper No. 2010-23.", "sourceUrl": "https://www.cepii.fr/DATA_DOWNLOAD/baci/doc/baci_webpage.html", "datasetUrl": "https://www.cepii.fr/CEPII/en/bdd_modele/bdd_modele_item.asp?id=37", "licenseUrl": "https://www.etalab.gouv.fr/wp-content/uploads/2018/11/open-licence.pdf", "license": "Etalab 2.0 Open Licence", "accessed": "2026-08-29" } ] }, "links": { "canonical": "https://www.yugalinks.com/trade/corridor/VNM-MLT/risk", "html": "https://www.yugalinks.com/trade/corridor/VNM-MLT/risk/index.html", "markdown": "https://www.yugalinks.com/trade/corridor/VNM-MLT/risk/index.md", "json": "https://www.yugalinks.com/trade/corridor/VNM-MLT/risk/index.json", "jsonLd": "https://www.yugalinks.com/trade/corridor/VNM-MLT/risk/index.ld.json", "home": "https://www.yugalinks.com/", "tradeHub": "https://www.yugalinks.com/trade/", "dataSources": "https://www.yugalinks.com/data-sources", "methodology": "https://www.yugalinks.com/methodology", "workspace": "https://www.yugalinks.com/app/corridors", "contact": "https://www.yugalinks.com/contact", "email": "mailto:support@yugalinks.com", "linkedin": "https://in.linkedin.com/company/yugalinks" } }