{
  "template": "Corridor pair risk profile",
  "pageType": "Corridor pair risk profile",
  "source": "api",
  "generatedAt": "2026-08-29T11:48:12.447Z",
  "seo": {
    "title": "Malta exports to Panama: Trade Route Risk | Yugalinks",
    "description": "Understand reported exports from Malta to Panama, 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": "MLT",
    "country_name": "Malta"
  },
  "importer": {
    "iso3": "PAN",
    "country_name": "Panama"
  },
  "latestYear": 2024,
  "risk": {
    "exporter_iso3": "MLT",
    "importer_iso3": "PAN",
    "all_history_lane_count": 13,
    "current_lane_count": 4,
    "current_product_count": 4,
    "first_observed_last_year": 2002,
    "latest_data_year": 2024,
    "current_trade_usd": 254893.06024119948,
    "attention_trade_usd": 0,
    "critical_trade_usd": 0,
    "high_volatility_trade_usd": 51528.403340875164,
    "unrecovered_drawdown_trade_usd": 0,
    "declining_demand_trade_usd": 0,
    "concentrated_market_trade_usd": 27251.70385406253,
    "access_friction_trade_usd": 0,
    "buyer_macro_weakness_trade_usd": 0,
    "critical_lane_count": 0,
    "high_attention_lane_count": 0,
    "high_volatility_lane_count": 1,
    "unrecovered_drawdown_lane_count": 0,
    "declining_demand_lane_count": 0,
    "concentrated_market_lane_count": 1,
    "access_friction_lane_count": 0,
    "trade_weighted_volatility_cv": 0.28576409702780187,
    "trade_weighted_below_peak_pct": 0,
    "product_concentration_hhi": 3509.771425471523,
    "top1_product_share_pct": 51.86518010773747,
    "top3_product_share_pct": 89.30857363151634,
    "top_product_hs6": "310520",
    "top_product_trade_usd": 132200.7447762219,
    "top_product_description": "Fertilizers, mineral or chemical: containing the three fertilizing elements nitrogen, phosphorus and potassium",
    "top_attention_product_hs6": "",
    "top_attention_product_reason": "",
    "distance_km": 9794.0615234375,
    "shares_land_border": 0,
    "shares_official_language": 0,
    "common_spoken_language_score": 0.01860000006854534,
    "has_reported_fta": 1,
    "avg_applied_tariff_pct": 12.196142178989897,
    "avg_mfn_tariff_pct": 12.196142178989897,
    "avg_preferential_tariff_pct": null,
    "tariff_advantage_pp": null,
    "buyer_biz_entry_days": 6,
    "buyer_biz_entry_cost_pct": null,
    "buyer_gdp_mn_latest": 63605.0658,
    "buyer_gdp_pc_latest": 14516,
    "buyer_population_latest": 4381.583,
    "buyer_gdp_5y_cagr_pct": 4.395634788621838,
    "buyer_gdp_pc_5y_cagr_pct": 3.063341443383494,
    "buyer_population_5y_cagr_pct": 1.2926937226950042,
    "buyer_investment_5y_avg_pct": 37.974000000000004,
    "buyer_savings_5y_avg_pct": 37.7,
    "buyer_macro_resilience_label": "Buyer macro trend resilient",
    "attention_trade_share_pct": 0,
    "critical_trade_share_pct": 0,
    "risk_driver_labels": [
      "high_volatility",
      "concentrated_product_mix",
      "concentrated_buyer_markets"
    ],
    "attention_level": "Stable",
    "primary_risk_reason": "Volatile products account for the largest observed corridor exposure",
    "buyer_gdp_mn_2024": 63605.0658,
    "buyer_gdp_pc_2024": 14516,
    "buyer_population_2024": 4381.583
  },
  "history": [
    {
      "year": 1995,
      "exporter_iso3": "MLT",
      "importer_iso3": "PAN",
      "export_value_usd": 1412.7243058406593,
      "yoy_growth_pct": null,
      "cagr_3y_pct": null
    },
    {
      "year": 1996,
      "exporter_iso3": "MLT",
      "importer_iso3": "PAN",
      "export_value_usd": 343.38839363340884,
      "yoy_growth_pct": -75.69317720281799,
      "cagr_3y_pct": null
    },
    {
      "year": 1997,
      "exporter_iso3": "MLT",
      "importer_iso3": "PAN",
      "export_value_usd": 57938.967513731266,
      "yoy_growth_pct": 16772.72155610046,
      "cagr_3y_pct": null
    },
    {
      "year": 1999,
      "exporter_iso3": "MLT",
      "importer_iso3": "PAN",
      "export_value_usd": 13977.358315462428,
      "yoy_growth_pct": -75.87572075365364,
      "cagr_3y_pct": 114.67883366565164
    },
    {
      "year": 2000,
      "exporter_iso3": "MLT",
      "importer_iso3": "PAN",
      "export_value_usd": 1025.7821832783382,
      "yoy_growth_pct": -92.66111549745727,
      "cagr_3y_pct": 44.02012377041893
    },
    {
      "year": 2001,
      "exporter_iso3": "MLT",
      "importer_iso3": "PAN",
      "export_value_usd": 18994.88864007122,
      "yoy_growth_pct": 1751.746788910361,
      "cagr_3y_pct": -31.046655912480315
    },
    {
      "year": 2002,
      "exporter_iso3": "MLT",
      "importer_iso3": "PAN",
      "export_value_usd": 146661.7515930737,
      "yoy_growth_pct": 672.1116684184141,
      "cagr_3y_pct": 118.92595672655979
    },
    {
      "year": 2003,
      "exporter_iso3": "MLT",
      "importer_iso3": "PAN",
      "export_value_usd": 21999.3441821561,
      "yoy_growth_pct": -84.99994446868789,
      "cagr_3y_pct": 177.83366054685783
    },
    {
      "year": 2004,
      "exporter_iso3": "MLT",
      "importer_iso3": "PAN",
      "export_value_usd": 105900.21145656398,
      "yoy_growth_pct": 381.3789473890806,
      "cagr_3y_pct": 77.31821815959796
    },
    {
      "year": 2007,
      "exporter_iso3": "MLT",
      "importer_iso3": "PAN",
      "export_value_usd": 39829.67927227408,
      "yoy_growth_pct": -62.389424228288135,
      "cagr_3y_pct": -35.241519889349405
    },
    {
      "year": 2008,
      "exporter_iso3": "MLT",
      "importer_iso3": "PAN",
      "export_value_usd": 765421.9127766193,
      "yoy_growth_pct": 1821.7375755004855,
      "cagr_3y_pct": 226.46030769297613
    },
    {
      "year": 2009,
      "exporter_iso3": "MLT",
      "importer_iso3": "PAN",
      "export_value_usd": 2379.5574930417206,
      "yoy_growth_pct": -99.68911819046183,
      "cagr_3y_pct": -71.78155194038744
    },
    {
      "year": 2010,
      "exporter_iso3": "MLT",
      "importer_iso3": "PAN",
      "export_value_usd": 107388.83804061527,
      "yoy_growth_pct": 4412.975137379143,
      "cagr_3y_pct": 39.18233280552759
    },
    {
      "year": 2011,
      "exporter_iso3": "MLT",
      "importer_iso3": "PAN",
      "export_value_usd": 20739.44394775721,
      "yoy_growth_pct": -80.68752365128171,
      "cagr_3y_pct": -69.96469320977103
    },
    {
      "year": 2012,
      "exporter_iso3": "MLT",
      "importer_iso3": "PAN",
      "export_value_usd": 64113.69151765626,
      "yoy_growth_pct": 209.13891268810804,
      "cagr_3y_pct": 199.79072584972565
    },
    {
      "year": 2013,
      "exporter_iso3": "MLT",
      "importer_iso3": "PAN",
      "export_value_usd": 473775.51306334493,
      "yoy_growth_pct": 638.9615257653226,
      "cagr_3y_pct": 64.01031237386488
    },
    {
      "year": 2014,
      "exporter_iso3": "MLT",
      "importer_iso3": "PAN",
      "export_value_usd": 5342584.498897669,
      "yoy_growth_pct": 1027.6615932202794,
      "cagr_3y_pct": 536.2846269343179
    },
    {
      "year": 2015,
      "exporter_iso3": "MLT",
      "importer_iso3": "PAN",
      "export_value_usd": 675741.8178888895,
      "yoy_growth_pct": -87.35178043457591,
      "cagr_3y_pct": 119.25188583294894
    },
    {
      "year": 2016,
      "exporter_iso3": "MLT",
      "importer_iso3": "PAN",
      "export_value_usd": 294869.7973329345,
      "yoy_growth_pct": -56.36354158839121,
      "cagr_3y_pct": -14.620705818376257
    },
    {
      "year": 2017,
      "exporter_iso3": "MLT",
      "importer_iso3": "PAN",
      "export_value_usd": 369314.0235456842,
      "yoy_growth_pct": 25.246473828818573,
      "cagr_3y_pct": -58.95929620716771
    },
    {
      "year": 2018,
      "exporter_iso3": "MLT",
      "importer_iso3": "PAN",
      "export_value_usd": 127033.88137147255,
      "yoy_growth_pct": -65.60274636964647,
      "cagr_3y_pct": -42.71429565047639
    },
    {
      "year": 2019,
      "exporter_iso3": "MLT",
      "importer_iso3": "PAN",
      "export_value_usd": 89134.31849365866,
      "yoy_growth_pct": -29.83421624896114,
      "cagr_3y_pct": -32.88727303902941
    },
    {
      "year": 2020,
      "exporter_iso3": "MLT",
      "importer_iso3": "PAN",
      "export_value_usd": 49567.30045630775,
      "yoy_growth_pct": -44.39032990437444,
      "cagr_3y_pct": -48.800409279209504
    },
    {
      "year": 2021,
      "exporter_iso3": "MLT",
      "importer_iso3": "PAN",
      "export_value_usd": 81034.36053677967,
      "yoy_growth_pct": 63.48350584113269,
      "cagr_3y_pct": -13.917167798776198
    },
    {
      "year": 2022,
      "exporter_iso3": "MLT",
      "importer_iso3": "PAN",
      "export_value_usd": 150080.48109311744,
      "yoy_growth_pct": 85.20597941289275,
      "cagr_3y_pct": 18.966975770756235
    },
    {
      "year": 2023,
      "exporter_iso3": "MLT",
      "importer_iso3": "PAN",
      "export_value_usd": 211153.24042450933,
      "yoy_growth_pct": 40.693339258087335,
      "cagr_3y_pct": 62.106648842245036
    },
    {
      "year": 2024,
      "exporter_iso3": "MLT",
      "importer_iso3": "PAN",
      "export_value_usd": 602079.8172044613,
      "yoy_growth_pct": 185.1388006141987,
      "cagr_3y_pct": 95.13190597415972
    }
  ],
  "riskLanes": [
    {
      "exporter_iso3": "MLT",
      "importer_iso3": "PAN",
      "hs_code": "310520",
      "hs_description": "Fertilizers, mineral or chemical: containing the three fertilizing elements nitrogen, phosphorus and potassium",
      "buyer_imports_latest_usd": 15486754.192810671,
      "current_below_peak_pct": 0,
      "lane_volatility_cv": 0,
      "attention_level": "Watch",
      "primary_risk_reason": "The lane has limited historical coverage",
      "risk_driver_labels": [
        "limited_history"
      ]
    },
    {
      "exporter_iso3": "MLT",
      "importer_iso3": "PAN",
      "hs_code": "847290",
      "hs_description": "Office machines: not elsewhere classified",
      "buyer_imports_latest_usd": 10750488.417783597,
      "current_below_peak_pct": 0,
      "lane_volatility_cv": 1.4135754356025105,
      "attention_level": "Watch",
      "primary_risk_reason": "Trade has varied substantially across reported years",
      "risk_driver_labels": [
        "high_volatility",
        "limited_history"
      ]
    },
    {
      "exporter_iso3": "MLT",
      "importer_iso3": "PAN",
      "hs_code": "940350",
      "hs_description": "Furniture: wooden, for bedroom use",
      "buyer_imports_latest_usd": 17403202.27770399,
      "current_below_peak_pct": 0,
      "lane_volatility_cv": 0,
      "attention_level": "Watch",
      "primary_risk_reason": "The lane has limited historical coverage",
      "risk_driver_labels": [
        "limited_history"
      ]
    },
    {
      "exporter_iso3": "MLT",
      "importer_iso3": "PAN",
      "hs_code": "300630",
      "hs_description": "Pharmaceutical goods: opacifying preparations for x-ray examinations, diagnostic reagents designed to be administered to the patient",
      "buyer_imports_latest_usd": 20970037.078762617,
      "current_below_peak_pct": 0,
      "lane_volatility_cv": 0,
      "attention_level": "Watch",
      "primary_risk_reason": "The buyer market is concentrated among relatively few suppliers",
      "risk_driver_labels": [
        "concentrated_buyer_market",
        "dominant_supplier",
        "limited_history"
      ]
    }
  ],
  "accessProfile": {
    "year": 2024,
    "exporter_iso3": "MLT",
    "importer_iso3": "PAN",
    "distance_km": 9792,
    "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": 1,
    "importer_is_eu": 0,
    "importer_gdp_million_usd": 63605.0658,
    "importer_gdp_per_capita_usd": 14516.458047240005,
    "importer_population": 4381.583,
    "importer_biz_entry_days": 6,
    "importer_biz_entry_cost_pct": 5.8,
    "exporter_gdp_million_usd": 17189.73047,
    "exporter_gdp_per_capita_usd": 33257.42203537066,
    "avg_applied_tariff_pct": 12.196142178989897,
    "avg_mfn_tariff_pct": 12.196142178989897,
    "avg_preferential_tariff_pct": null,
    "tariff_advantage_pp": null
  },
  "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/MLT-PAN/risk",
    "html": "https://www.yugalinks.com/trade/corridor/MLT-PAN/risk/index.html",
    "markdown": "https://www.yugalinks.com/trade/corridor/MLT-PAN/risk/index.md",
    "json": "https://www.yugalinks.com/trade/corridor/MLT-PAN/risk/index.json",
    "jsonLd": "https://www.yugalinks.com/trade/corridor/MLT-PAN/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"
  }
}