{ "template": "Corridor pair risk profile", "pageType": "Corridor pair risk profile", "source": "api", "generatedAt": "2026-08-29T11:48:12.947Z", "seo": { "title": "India exports to Gambia: Trade Route Risk | Yugalinks", "description": "Understand reported exports from India to Gambia, 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": "IND", "country_name": "India" }, "importer": { "iso3": "GMB", "country_name": "Gambia" }, "latestYear": 2024, "risk": { "exporter_iso3": "IND", "importer_iso3": "GMB", "all_history_lane_count": 14, "current_lane_count": 11, "current_product_count": 11, "first_observed_last_year": 2023, "latest_data_year": 2024, "current_trade_usd": 49933052.943878956, "attention_trade_usd": 48906314.03044021, "critical_trade_usd": 0, "high_volatility_trade_usd": 32675382.312878955, "unrecovered_drawdown_trade_usd": 111830.63855963966, "declining_demand_trade_usd": 0, "concentrated_market_trade_usd": 34753297.53897813, "access_friction_trade_usd": 49933052.943878956, "buyer_macro_weakness_trade_usd": 0, "critical_lane_count": 0, "high_attention_lane_count": 6, "high_volatility_lane_count": 10, "unrecovered_drawdown_lane_count": 1, "declining_demand_lane_count": 0, "concentrated_market_lane_count": 7, "access_friction_lane_count": 11, "trade_weighted_volatility_cv": 1.1425351831491855, "trade_weighted_below_peak_pct": 36.15480045962892, "product_concentration_hhi": 2472.759249013997, "top1_product_share_pct": 34.56161723257005, "top3_product_share_pct": 82.39509920914138, "top_product_hs6": "520852", "top_product_trade_usd": 17257670.630999997, "top_product_description": "Fabrics, woven: containing 85% or more by weight of cotton, printed, plain weave, weighing more than 100g/m2 but not more than 200g/m2", "top_attention_product_hs6": "520852", "top_attention_product_reason": "The buyer market is concentrated among relatively few suppliers", "distance_km": 9672.611328125, "shares_land_border": 0, "shares_official_language": 1, "common_spoken_language_score": 0.004600000102072954, "has_reported_fta": 0, "avg_applied_tariff_pct": 14.13368353939394, "avg_mfn_tariff_pct": 14.13368353939394, "avg_preferential_tariff_pct": null, "tariff_advantage_pp": null, "buyer_biz_entry_days": 8, "buyer_biz_entry_cost_pct": null, "buyer_gdp_mn_latest": 2078.070684, "buyer_gdp_pc_latest": 836, "buyer_population_latest": 2486.937, "buyer_gdp_5y_cagr_pct": 5.805984484850701, "buyer_gdp_pc_5y_cagr_pct": 3.372331111411797, "buyer_population_5y_cagr_pct": 2.3542599332658787, "buyer_investment_5y_avg_pct": 13.280000000000001, "buyer_savings_5y_avg_pct": -0.5940000000000001, "buyer_macro_resilience_label": "Buyer macro trend resilient", "attention_trade_share_pct": 97.9437690008806, "critical_trade_share_pct": 0, "risk_driver_labels": [ "high_volatility", "unrecovered_drawdown", "concentrated_buyer_markets", "market_access_friction" ], "attention_level": "High attention", "primary_risk_reason": "Tariff, distance or agreement conditions create market-access friction", "buyer_gdp_mn_2024": 2078.070684, "buyer_gdp_pc_2024": 836, "buyer_population_2024": 2486.937 }, "history": [ { "year": 1995, "exporter_iso3": "IND", "importer_iso3": "GMB", "export_value_usd": 7509639.686701121, "yoy_growth_pct": null, "cagr_3y_pct": null }, { "year": 1996, "exporter_iso3": "IND", "importer_iso3": "GMB", "export_value_usd": 9302216.160173656, "yoy_growth_pct": 23.870339300659428, "cagr_3y_pct": null }, { "year": 1997, "exporter_iso3": "IND", "importer_iso3": "GMB", "export_value_usd": 16873091.996986892, "yoy_growth_pct": 81.38787259349067, "cagr_3y_pct": null }, { "year": 1998, "exporter_iso3": "IND", "importer_iso3": "GMB", "export_value_usd": 15621708.73394424, "yoy_growth_pct": -7.416443075555557, "cagr_3y_pct": 27.65460282228165 }, { "year": 1999, "exporter_iso3": "IND", "importer_iso3": "GMB", "export_value_usd": 18616155.494480457, "yoy_growth_pct": 19.16849693932403, "cagr_3y_pct": 26.01856315154505 }, { "year": 2000, "exporter_iso3": "IND", "importer_iso3": "GMB", "export_value_usd": 14504093.946915012, "yoy_growth_pct": -22.088672114844766, "cagr_3y_pct": -4.917926672112893 }, { "year": 2001, "exporter_iso3": "IND", "importer_iso3": "GMB", "export_value_usd": 12855380.727917437, "yoy_growth_pct": -11.367226557080134, "cagr_3y_pct": -6.290101158736716 }, { "year": 2002, "exporter_iso3": "IND", "importer_iso3": "GMB", "export_value_usd": 13307166.202576974, "yoy_growth_pct": 3.5143686851562217, "cagr_3y_pct": -10.58744035269692 }, { "year": 2003, "exporter_iso3": "IND", "importer_iso3": "GMB", "export_value_usd": 12894814.89132472, "yoy_growth_pct": -3.0987161727370816, "cagr_3y_pct": -3.844343801101202 }, { "year": 2004, "exporter_iso3": "IND", "importer_iso3": "GMB", "export_value_usd": 14101649.759379908, "yoy_growth_pct": 9.359070899630485, "cagr_3y_pct": 3.132368935151053 }, { "year": 2005, "exporter_iso3": "IND", "importer_iso3": "GMB", "export_value_usd": 18396398.77917971, "yoy_growth_pct": 30.455649467134794, "cagr_3y_pct": 11.39928704514428 }, { "year": 2006, "exporter_iso3": "IND", "importer_iso3": "GMB", "export_value_usd": 19407326.147527616, "yoy_growth_pct": 5.495246001581733, "cagr_3y_pct": 14.599713203118924 }, { "year": 2007, "exporter_iso3": "IND", "importer_iso3": "GMB", "export_value_usd": 29182628.22076936, "yoy_growth_pct": 50.36913379480183, "cagr_3y_pct": 27.433856465274364 }, { "year": 2008, "exporter_iso3": "IND", "importer_iso3": "GMB", "export_value_usd": 26009596.634884138, "yoy_growth_pct": -10.87301514408139, "cagr_3y_pct": 12.236367033582841 }, { "year": 2009, "exporter_iso3": "IND", "importer_iso3": "GMB", "export_value_usd": 32887510.16774413, "yoy_growth_pct": 26.44375316315102, "cagr_3y_pct": 19.221641466820415 }, { "year": 2010, "exporter_iso3": "IND", "importer_iso3": "GMB", "export_value_usd": 37735389.85485675, "yoy_growth_pct": 14.740792666838587, "cagr_3y_pct": 8.945211482955994 }, { "year": 2011, "exporter_iso3": "IND", "importer_iso3": "GMB", "export_value_usd": 60354695.31166731, "yoy_growth_pct": 59.94188888418051, "cagr_3y_pct": 32.391209022948075 }, { "year": 2012, "exporter_iso3": "IND", "importer_iso3": "GMB", "export_value_usd": 55067010.403333604, "yoy_growth_pct": -8.76101665500667, "cagr_3y_pct": 18.74632230124029 }, { "year": 2013, "exporter_iso3": "IND", "importer_iso3": "GMB", "export_value_usd": 70496606.82952614, "yoy_growth_pct": 28.019673327423767, "cagr_3y_pct": 23.16097667531871 }, { "year": 2014, "exporter_iso3": "IND", "importer_iso3": "GMB", "export_value_usd": 85839014.96752954, "yoy_growth_pct": 21.763328517504643, "cagr_3y_pct": 12.458224141035167 }, { "year": 2015, "exporter_iso3": "IND", "importer_iso3": "GMB", "export_value_usd": 52662727.84453812, "yoy_growth_pct": -38.649426645379215, "cagr_3y_pct": -1.4770779382973775 }, { "year": 2016, "exporter_iso3": "IND", "importer_iso3": "GMB", "export_value_usd": 56491945.45505629, "yoy_growth_pct": 7.271210146618534, "cagr_3y_pct": -7.116314544908498 }, { "year": 2017, "exporter_iso3": "IND", "importer_iso3": "GMB", "export_value_usd": 103149890.88906029, "yoy_growth_pct": 82.59220860277155, "cagr_3y_pct": 6.315034030533617 }, { "year": 2018, "exporter_iso3": "IND", "importer_iso3": "GMB", "export_value_usd": 133953510.72473375, "yoy_growth_pct": 29.86296889911726, "cagr_3y_pct": 36.50553132657954 }, { "year": 2019, "exporter_iso3": "IND", "importer_iso3": "GMB", "export_value_usd": 141826678.038251, "yoy_growth_pct": 5.877537117855858, "cagr_3y_pct": 35.91179027652156 }, { "year": 2020, "exporter_iso3": "IND", "importer_iso3": "GMB", "export_value_usd": 111942497.80297585, "yoy_growth_pct": -21.070916028376075, "cagr_3y_pct": 2.7642538893485336 }, { "year": 2021, "exporter_iso3": "IND", "importer_iso3": "GMB", "export_value_usd": 147367389.2661984, "yoy_growth_pct": 31.64561463115827, "cagr_3y_pct": 3.232337953058484 }, { "year": 2022, "exporter_iso3": "IND", "importer_iso3": "GMB", "export_value_usd": 111159061.99815987, "yoy_growth_pct": -24.570108385806645, "cagr_3y_pct": -7.800411889769709 }, { "year": 2023, "exporter_iso3": "IND", "importer_iso3": "GMB", "export_value_usd": 167034620.00264388, "yoy_growth_pct": 50.266309376926, "cagr_3y_pct": 14.271299632289104 }, { "year": 2024, "exporter_iso3": "IND", "importer_iso3": "GMB", "export_value_usd": 117835105.44196159, "yoy_growth_pct": -29.454681047499943, "cagr_3y_pct": -7.183660852946739 } ], "riskLanes": [ { "exporter_iso3": "IND", "importer_iso3": "GMB", "hs_code": "520852", "hs_description": "Fabrics, woven: containing 85% or more by weight of cotton, printed, plain weave, weighing more than 100g/m2 but not more than 200g/m2", "buyer_imports_latest_usd": 72505930.86099997, "current_below_peak_pct": 47.426026354993674, "lane_volatility_cv": 0.7988377611650753, "attention_level": "High attention", "primary_risk_reason": "The buyer market is concentrated among relatively few suppliers", "risk_driver_labels": [ "concentrated_buyer_market", "dominant_supplier", "long_distance_without_fta" ] }, { "exporter_iso3": "IND", "importer_iso3": "GMB", "hs_code": "100640", "hs_description": "Cereals: rice, broken", "buyer_imports_latest_usd": 104846238.15149167, "current_below_peak_pct": 49.05553483243866, "lane_volatility_cv": 1.2970482327233686, "attention_level": "High attention", "primary_risk_reason": "Trade has varied substantially across reported years", "risk_driver_labels": [ "high_volatility", "long_distance_without_fta" ] }, { "exporter_iso3": "IND", "importer_iso3": "GMB", "hs_code": "100630", "hs_description": "Cereals: rice, semi-milled or wholly milled, whether or not polished or glazed", "buyer_imports_latest_usd": 12211845.975942431, "current_below_peak_pct": 20.659819361660364, "lane_volatility_cv": 1.1894703110734197, "attention_level": "High attention", "primary_risk_reason": "Trade has varied substantially across reported years", "risk_driver_labels": [ "high_volatility", "concentrated_buyer_market", "dominant_supplier", "long_distance_without_fta" ] }, { "exporter_iso3": "IND", "importer_iso3": "GMB", "hs_code": "871120", "hs_description": "Motorcycles (including mopeds) and cycles: fitted with an auxiliary motor, reciprocating internal combustion piston engine, of cylinder capacity exceeding 50cc but not exceeding 250cc, with or without side-cars: side-cars", "buyer_imports_latest_usd": 13129046.595538901, "current_below_peak_pct": 0, "lane_volatility_cv": 1.9251109709684229, "attention_level": "High attention", "primary_risk_reason": "Trade has varied substantially across reported years", "risk_driver_labels": [ "high_volatility", "concentrated_buyer_market", "dominant_supplier", "long_distance_without_fta" ] }, { "exporter_iso3": "IND", "importer_iso3": "GMB", "hs_code": "540754", "hs_description": "Fabrics, woven: containing 85% or more by weight of textured polyester filaments, printed", "buyer_imports_latest_usd": 18122428.89750975, "current_below_peak_pct": 19.044481532531904, "lane_volatility_cv": 1.1584055690668882, "attention_level": "High attention", "primary_risk_reason": "Trade has varied substantially across reported years", "risk_driver_labels": [ "high_volatility", "concentrated_buyer_market", "dominant_supplier", "long_distance_without_fta" ] }, { "exporter_iso3": "IND", "importer_iso3": "GMB", "hs_code": "690722", "hs_description": "Ceramic tiles: flags and paving, hearth or wall tiles other than those of subheadings 6907.30 and 6907.40, of a water absorption coefficient by weight over 0.5% but not over 10%", "buyer_imports_latest_usd": 10204908.274054999, "current_below_peak_pct": 19.37208255921695, "lane_volatility_cv": 1.228589815515, "attention_level": "High attention", "primary_risk_reason": "Trade has varied substantially across reported years", "risk_driver_labels": [ "high_volatility", "concentrated_buyer_market", "dominant_supplier", "long_distance_without_fta" ] }, { "exporter_iso3": "IND", "importer_iso3": "GMB", "hs_code": "271019", "hs_description": "", "buyer_imports_latest_usd": 150291836.86690968, "current_below_peak_pct": 0, "lane_volatility_cv": 1.246024337830103, "attention_level": "Watch", "primary_risk_reason": "Trade has varied substantially across reported years", "risk_driver_labels": [ "high_volatility", "long_distance_without_fta" ] }, { "exporter_iso3": "IND", "importer_iso3": "GMB", "hs_code": "271012", "hs_description": "", "buyer_imports_latest_usd": 82258512.14118724, "current_below_peak_pct": 0, "lane_volatility_cv": 2.35024348088002, "attention_level": "Watch", "primary_risk_reason": "Trade has varied substantially across reported years", "risk_driver_labels": [ "high_volatility", "long_distance_without_fta" ] }, { "exporter_iso3": "IND", "importer_iso3": "GMB", "hs_code": "392490", "hs_description": "Plastics: household articles and hygienic or toilet articles", "buyer_imports_latest_usd": 11190851.28625639, "current_below_peak_pct": 56.7306293147898, "lane_volatility_cv": 1.0740499793048595, "attention_level": "Watch", "primary_risk_reason": "Current trade remains more than 50% below its historical peak", "risk_driver_labels": [ "high_volatility", "unrecovered_drawdown", "concentrated_buyer_market", "dominant_supplier", "long_distance_without_fta" ] }, { "exporter_iso3": "IND", "importer_iso3": "GMB", "hs_code": "210690", "hs_description": "Food preparations: n.e.s. in item no. 2106.10", "buyer_imports_latest_usd": 10794281.086544033, "current_below_peak_pct": 21.710685991461382, "lane_volatility_cv": 1.0551619478344791, "attention_level": "Watch", "primary_risk_reason": "Trade has varied substantially across reported years", "risk_driver_labels": [ "high_volatility", "long_distance_without_fta" ] } ], "accessProfile": { "year": 2024, "exporter_iso3": "IND", "importer_iso3": "GMB", "distance_km": 9679, "shares_land_border": 0, "shares_official_language": 1, "shares_ethnic_language": 1, "shared_religion": 0, "shared_legal_system": 1, "shared_colonial_history": 0, "has_fta": 0, "rta_coverage_ratio": null, "exporter_is_wto": 1, "importer_is_wto": 1, "exporter_is_eu": 0, "importer_is_eu": 0, "importer_gdp_million_usd": 2078.0706840000003, "importer_gdp_per_capita_usd": 835.594421571596, "importer_population": 2486.937, "importer_biz_entry_days": 8, "importer_biz_entry_cost_pct": 49.5, "exporter_gdp_million_usd": 3173397.5908170003, "exporter_gdp_per_capita_usd": 2277.434305882774, "avg_applied_tariff_pct": 14.13368353939394, "avg_mfn_tariff_pct": 14.13368353939394, "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/IND-GMB/risk", "html": "https://www.yugalinks.com/trade/corridor/IND-GMB/risk/index.html", "markdown": "https://www.yugalinks.com/trade/corridor/IND-GMB/risk/index.md", "json": "https://www.yugalinks.com/trade/corridor/IND-GMB/risk/index.json", "jsonLd": "https://www.yugalinks.com/trade/corridor/IND-GMB/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" } }