{ "id": "industry/trade/cn_furniture_exports_us_monthly", "generated_at": "2026-07-21T08:49:52.658049+00:00", "last_refresh": "2026-07-20", "source": "Derived from Furnilytics industry trade dataset cn_furniture_exports_monthly. EU country values are aggregated before seasonal adjustment. Seasonally adjusted values are based on STL method.", "source_description": "Monthly China furniture exports to the United States, shown in seasonally adjusted million USD and EUR. Based on official government trade statistics, primarily UN Comtrade, with recent gaps estimated from partner-reported import data.", "table_id": "industry/trade/cn_furniture_exports_us_monthly", "meta": { "indicator_name": "China furniture exports to the US", "indicator_description": "Monthly China furniture exports to the United States, shown in seasonally adjusted million USD and EUR. Based on official government trade statistics, primarily UN Comtrade, with recent gaps estimated from partner-reported import data.", "title": "China furniture exports to the US", "description": "Monthly China furniture exports to the United States, shown in seasonally adjusted million USD and EUR. Based on official government trade statistics, primarily UN Comtrade, with recent gaps estimated from partner-reported import data.", "source": "Derived from Furnilytics industry trade dataset cn_furniture_exports_monthly. EU country values are aggregated before seasonal adjustment. Seasonally adjusted values are based on STL method.", "source_description": "Monthly China furniture exports to the United States, shown in seasonally adjusted million USD and EUR. Based on official government trade statistics, primarily UN Comtrade, with recent gaps estimated from partner-reported import data.", "visibility": "public", "updated_at": "2026-07-20T08:59:42.758067Z", "last_refresh": "2026-07-20", "table_id": "industry/trade/cn_furniture_exports_us_monthly", "topic": "Industry", "subtopic": "Trade", "geo": [ "US" ], "geo_included": [ "CN", "US" ], "page_slug": "china-furniture-exports-to-usa", "page_url": "/indicators/industry/trade/china-furniture-exports-to-usa/", "chart_type": "line", "series_type": "single", "frequency": "monthly", "units": "seasonally adjusted million USD/EUR", "legend": false, "featured_topic": false, "featured_subtopic": true, "featured_rank_topic": 5, "featured_rank_subtopic": 4, "chart_title": "Furniture Export China to USA", "y_axis_label": "USD million", "related_indicators": [ { "title": "China Furniture Production Market Size", "url": "/indicators/industry/market-size/china-furniture-production-turnover/", "label": "Market size" }, { "title": "USA Furniture Retail Market Size", "url": "/indicators/retail/market-size/us-furniture-retail-turnover/", "label": "Retail" }, { "title": "China Furniture Exports to Europe", "url": "/indicators/industry/trade/china-furniture-exports-to-europe/", "label": "Trade" } ], "taxonomy_path": [ "industry", "trade", "exports", "over-time" ], "taxonomy_labels": [ "Industry", "Trade", "Exports", "Over time" ], "taxonomy_nodes": [ { "id": "industry", "label": "Industry", "has_page": true, "sort_order": 10 }, { "id": "trade", "label": "Trade", "has_page": true, "sort_order": 10 }, { "id": "exports", "label": "Exports", "has_page": false, "sort_order": 20 }, { "id": "over-time", "label": "Over time", "has_page": false, "sort_order": 10 } ], "taxonomy_page_path": [ "industry", "trade" ], "taxonomy_page_labels": [ "Industry", "Trade" ], "taxonomy_collection": "over-time", "taxonomy_collection_label": "Over time", "entity": { "type": "region", "geo": [ "CN", "US" ] }, "data_hash": "5b233009ecc43ddcdf24d2f0265144debb53e72a2f97f3944212ad47b2b9865c", "trend_summary": "The time-series chart of furniture exports from China to the United States reveals distinct phases over the observed period. Beginning in 2018, export values were relatively high, averaging 1750.3 million US dollars. A peak occurred in April 2022, reaching 1975.9 million US dollars, followed by a general decline, hitting a trough of 579.0 million US dollars in June 2025. The latest export level, at 686.4 million US dollars, remains significantly below the earlier peak. Recent momentum indicates a substantial decrease, with year-over-year declines of 40.2% over three months, 43.5% over six months, and 42.3% over twelve months.", "trend_summary_generated_at": "2026-07-21T08:50:01.908438+00:00", "key_findings": [ "China-to-US furniture exports are falling on a six-month average basis, pointing to less China-linked import pressure on US furniture suppliers.", "The annual trade signal is negative, so the weakness is visible beyond short-term monthly volatility.", "Compared with China-to-Europe exports, the US corridor currently shows the weaker China-linked furniture trade signal." ], "key_findings_source": "trade_flow_rule", "chart_alt_text": "Line chart for Furniture Export China to USA in million US dollars. The series runs from 2018-01-01 to 2026-04-01; the latest value is 686.4 million US dollars. The peak is 1975.9 million US dollars in 2022-04-01." }, "data": [ { "date": "2018-01-01", "geo": "US", "value_usd": 1812.3015774089688, "value_eur": 1482.5565380296514, "value": 1812.3015774089688 }, { "date": "2018-02-01", "geo": "US", "value_usd": 1802.228276092348, "value_eur": 1492.1825019438895, "value": 1802.228276092348 }, { "date": "2018-03-01", "geo": "US", "value_usd": 1735.6402357251645, "value_eur": 1441.032179092325, "value": 1735.6402357251645 }, { "date": "2018-04-01", "geo": "US", "value_usd": 1778.5050644465884, "value_eur": 1483.0678221274527, "value": 1778.5050644465884 }, { "date": "2018-05-01", "geo": "US", "value_usd": 1735.5680955455666, "value_eur": 1452.91967872585, "value": 1735.5680955455666 }, { "date": "2018-06-01", "geo": "US", "value_usd": 1811.6192939262278, "value_eur": 1535.7429449747813, "value": 1811.6192939262278 }, { "date": "2018-07-01", "geo": "US", "value_usd": 1705.218553264081, "value_eur": 1452.812050688879, "value": 1705.218553264081 }, { "date": "2018-08-01", "geo": "US", "value_usd": 1762.9866791617026, "value_eur": 1507.7279709340492, "value": 1762.9866791617026 }, { "date": "2018-09-01", "geo": "US", "value_usd": 1746.9971982276847, "value_eur": 1512.9201475568295, "value": 1746.9971982276847 }, { "date": "2018-10-01", "geo": "US", "value_usd": 1701.870850439851, "value_eur": 1491.9398206219232, "value": 1701.870850439851 }, { "date": "2018-11-01", "geo": "US", "value_usd": 1720.7179627238222, "value_eur": 1496.782573414231, "value": 1720.7179627238222 }, { "date": "2018-12-01", "geo": "US", "value_usd": 1689.7232508291825, "value_eur": 1489.8290918664338, "value": 1689.7232508291825 }, { "date": "2019-01-01", "geo": "US", "value_usd": 1706.1464802270195, "value_eur": 1492.4801929122302, "value": 1706.1464802270195 }, { "date": "2019-02-01", "geo": "US", "value_usd": 1312.912022751584, "value_eur": 1162.4018858028649, "value": 1312.912022751584 }, { "date": "2019-03-01", "geo": "US", "value_usd": 1694.3473437183445, "value_eur": 1498.7168052034508, "value": 1694.3473437183445 }, { "date": "2019-04-01", "geo": "US", "value_usd": 1597.0758849616586, "value_eur": 1455.7179838891698, "value": 1597.0758849616586 }, { "date": "2019-05-01", "geo": "US", "value_usd": 1614.5172044411784, "value_eur": 1443.7641692189486, "value": 1614.5172044411784 }, { "date": "2019-06-01", "geo": "US", "value_usd": 1508.6199612096395, "value_eur": 1324.1045241309278, "value": 1508.6199612096395 }, { "date": "2019-07-01", "geo": "US", "value_usd": 1522.9208055365127, "value_eur": 1342.2370527469534, "value": 1522.9208055365127 }, { "date": "2019-08-01", "geo": "US", "value_usd": 1368.4329240510497, "value_eur": 1216.2078315388153, "value": 1368.4329240510497 }, { "date": "2019-09-01", "geo": "US", "value_usd": 1234.0364517915991, "value_eur": 1121.9988405723007, "value": 1234.0364517915991 }, { "date": "2019-10-01", "geo": "US", "value_usd": 1208.3028807002106, "value_eur": 1091.574579950035, "value": 1208.3028807002106 }, { "date": "2019-11-01", "geo": "US", "value_usd": 782.9426938725717, "value_eur": 708.6650596655761, "value": 782.9426938725717 }, { "date": "2019-12-01", "geo": "US", "value_usd": 1285.7950623164468, "value_eur": 1166.1915622492438, "value": 1285.7950623164468 }, { "date": "2020-01-01", "geo": "US", "value_usd": 1371.968141625907, "value_eur": 1237.294349568835, "value": 1371.968141625907 }, { "date": "2020-02-01", "geo": "US", "value_usd": 675.833447905304, "value_eur": 612.4691788995752, "value": 675.833447905304 }, { "date": "2020-03-01", "geo": "US", "value_usd": 1159.9672844387221, "value_eur": 1041.7471887560775, "value": 1159.9672844387221 }, { "date": "2020-04-01", "geo": "US", "value_usd": 1212.595741155267, "value_eur": 1154.862874137, "value": 1212.595741155267 }, { "date": "2020-05-01", "geo": "US", "value_usd": 1105.3080968559343, "value_eur": 1027.1956079410072, "value": 1105.3080968559343 }, { "date": "2020-06-01", "geo": "US", "value_usd": 1444.8797908605798, "value_eur": 1272.7333171287767, "value": 1444.8797908605798 }, { "date": "2020-07-01", "geo": "US", "value_usd": 1620.0074214550596, "value_eur": 1393.4119181758817, "value": 1620.0074214550596 }, { "date": "2020-08-01", "geo": "US", "value_usd": 1683.4066439745288, "value_eur": 1425.3590953028454, "value": 1683.4066439745288 }, { "date": "2020-09-01", "geo": "US", "value_usd": 1643.8080090217413, "value_eur": 1390.3618155270526, "value": 1643.8080090217413 }, { "date": "2020-10-01", "geo": "US", "value_usd": 1707.5793271111659, "value_eur": 1438.815242559013, "value": 1707.5793271111659 }, { "date": "2020-11-01", "geo": "US", "value_usd": 1623.0537651639997, "value_eur": 1349.092759110263, "value": 1623.0537651639997 }, { "date": "2020-12-01", "geo": "US", "value_usd": 1839.3596400243284, "value_eur": 1503.1710960195855, "value": 1839.3596400243284 }, { "date": "2021-01-01", "geo": "US", "value_usd": 1768.8797340347737, "value_eur": 1445.2809732716864, "value": 1768.8797340347737 }, { "date": "2021-02-01", "geo": "US", "value_usd": 1752.0637111011363, "value_eur": 1469.9489715180944, "value": 1752.0637111011363 }, { "date": "2021-03-01", "geo": "US", "value_usd": 1761.845890535581, "value_eur": 1475.8620814602734, "value": 1761.845890535581 }, { "date": "2021-04-01", "geo": "US", "value_usd": 1744.9789180012701, "value_eur": 1504.0836185836663, "value": 1744.9789180012701 }, { "date": "2021-05-01", "geo": "US", "value_usd": 1752.1518234248474, "value_eur": 1460.3130508921613, "value": 1752.1518234248474 }, { "date": "2021-06-01", "geo": "US", "value_usd": 1793.9449193625026, "value_eur": 1476.9238543574077, "value": 1793.9449193625026 }, { "date": "2021-07-01", "geo": "US", "value_usd": 1822.9602874294267, "value_eur": 1520.1080299805876, "value": 1822.9602874294267 }, { "date": "2021-08-01", "geo": "US", "value_usd": 1841.0501945305155, "value_eur": 1575.290928252645, "value": 1841.0501945305155 }, { "date": "2021-09-01", "geo": "US", "value_usd": 1966.050342075192, "value_eur": 1656.613915806366, "value": 1966.050342075192 }, { "date": "2021-10-01", "geo": "US", "value_usd": 1898.6082681343285, "value_eur": 1611.8966976379338, "value": 1898.6082681343285 }, { "date": "2021-11-01", "geo": "US", "value_usd": 1851.9330621405966, "value_eur": 1617.7598534046545, "value": 1851.9330621405966 }, { "date": "2021-12-01", "geo": "US", "value_usd": 1860.2554777234893, "value_eur": 1660.2800080196616, "value": 1860.2554777234893 }, { "date": "2022-01-01", "geo": "US", "value_usd": 1861.8196611469125, "value_eur": 1650.9387974490105, "value": 1861.8196611469125 }, { "date": "2022-02-01", "geo": "US", "value_usd": 1797.7410759673262, "value_eur": 1595.3472453842346, "value": 1797.7410759673262 }, { "date": "2022-03-01", "geo": "US", "value_usd": 1855.492248708867, "value_eur": 1674.7746538455433, "value": 1855.492248708867 }, { "date": "2022-04-01", "geo": "US", "value_usd": 1975.9357738124304, "value_eur": 1854.2210632719086, "value": 1975.9357738124304 }, { "date": "2022-05-01", "geo": "US", "value_usd": 1800.2362283143855, "value_eur": 1735.210057658329, "value": 1800.2362283143855 }, { "date": "2022-06-01", "geo": "US", "value_usd": 1727.0318525108821, "value_eur": 1619.4077192860066, "value": 1727.0318525108821 }, { "date": "2022-07-01", "geo": "US", "value_usd": 1639.1690458509952, "value_eur": 1578.2615893350915, "value": 1639.1690458509952 }, { "date": "2022-08-01", "geo": "US", "value_usd": 1453.638145185076, "value_eur": 1439.1534543431653, "value": 1453.638145185076 }, { "date": "2022-09-01", "geo": "US", "value_usd": 1456.0492162237495, "value_eur": 1447.7261668295907, "value": 1456.0492162237495 }, { "date": "2022-10-01", "geo": "US", "value_usd": 1487.3544788766744, "value_eur": 1472.8957975954772, "value": 1487.3544788766744 }, { "date": "2022-11-01", "geo": "US", "value_usd": 1172.407263471742, "value_eur": 1166.6807021520663, "value": 1172.407263471742 }, { "date": "2022-12-01", "geo": "US", "value_usd": 1217.3961246454971, "value_eur": 1182.1240019151483, "value": 1217.3961246454971 }, { "date": "2023-01-01", "geo": "US", "value_usd": 1491.4002386402626, "value_eur": 1389.458499744039, "value": 1491.4002386402626 }, { "date": "2023-02-01", "geo": "US", "value_usd": 1165.3562253167947, "value_eur": 1073.8717936590838, "value": 1165.3562253167947 }, { "date": "2023-03-01", "geo": "US", "value_usd": 1518.8398744048795, "value_eur": 1400.6065262742084, "value": 1518.8398744048795 }, { "date": "2023-04-01", "geo": "US", "value_usd": 1518.070234122208, "value_eur": 1404.1722221854836, "value": 1518.070234122208 }, { "date": "2023-05-01", "geo": "US", "value_usd": 1432.1999772932102, "value_eur": 1336.4658387198726, "value": 1432.1999772932102 }, { "date": "2023-06-01", "geo": "US", "value_usd": 1398.336884765879, "value_eur": 1277.1726036155526, "value": 1398.336884765879 }, { "date": "2023-07-01", "geo": "US", "value_usd": 1456.3176316973118, "value_eur": 1311.3623524245907, "value": 1456.3176316973118 }, { "date": "2023-08-01", "geo": "US", "value_usd": 1547.2634900168548, "value_eur": 1434.3208062563754, "value": 1547.2634900168548 }, { "date": "2023-09-01", "geo": "US", "value_usd": 1568.8156899861058, "value_eur": 1463.7893685253823, "value": 1568.8156899861058 }, { "date": "2023-10-01", "geo": "US", "value_usd": 1524.6500049071103, "value_eur": 1415.7867413227382, "value": 1524.6500049071103 }, { "date": "2023-11-01", "geo": "US", "value_usd": 1501.8126644465585, "value_eur": 1391.3666893282623, "value": 1501.8126644465585 }, { "date": "2023-12-01", "geo": "US", "value_usd": 1484.8036576029313, "value_eur": 1391.8738720842234, "value": 1484.8036576029313 }, { "date": "2024-01-01", "geo": "US", "value_usd": 1714.200112253816, "value_eur": 1577.333962663063, "value": 1714.200112253816 }, { "date": "2024-02-01", "geo": "US", "value_usd": 1454.231865410003, "value_eur": 1324.7850211436394, "value": 1454.231865410003 }, { "date": "2024-03-01", "geo": "US", "value_usd": 1321.663331122676, "value_eur": 1193.0661912752619, "value": 1321.663331122676 }, { "date": "2024-04-01", "geo": "US", "value_usd": 1501.109619235936, "value_eur": 1413.0737496104218, "value": 1501.109619235936 }, { "date": "2024-05-01", "geo": "US", "value_usd": 1487.3926279896252, "value_eur": 1384.8873255433355, "value": 1487.3926279896252 }, { "date": "2024-06-01", "geo": "US", "value_usd": 1525.3943427301508, "value_eur": 1403.7056852036515, "value": 1525.3943427301508 }, { "date": "2024-07-01", "geo": "US", "value_usd": 1561.618236855107, "value_eur": 1446.9021997596194, "value": 1561.618236855107 }, { "date": "2024-08-01", "geo": "US", "value_usd": 1518.2217089045646, "value_eur": 1397.1018954983572, "value": 1518.2217089045646 }, { "date": "2024-09-01", "geo": "US", "value_usd": 1506.9171336123159, "value_eur": 1366.6663352569885, "value": 1506.9171336123159 }, { "date": "2024-10-01", "geo": "US", "value_usd": 1487.333468902187, "value_eur": 1350.0612460680695, "value": 1487.333468902187 }, { "date": "2024-11-01", "geo": "US", "value_usd": 1503.0493322301475, "value_eur": 1414.1491027347304, "value": 1503.0493322301475 }, { "date": "2024-12-01", "geo": "US", "value_usd": 1575.2311086961352, "value_eur": 1538.4176038275607, "value": 1575.2311086961352 }, { "date": "2025-01-01", "geo": "US", "value_usd": 1677.1170267460766, "value_eur": 1630.3712470010396, "value": 1677.1170267460766 }, { "date": "2025-02-01", "geo": "US", "value_usd": 1307.950873550778, "value_eur": 1218.6518456107794, "value": 1307.950873550778 }, { "date": "2025-03-01", "geo": "US", "value_usd": 1263.949123857215, "value_eur": 1143.800864220029, "value": 1263.949123857215 }, { "date": "2025-04-01", "geo": "US", "value_usd": 1277.8531236095696, "value_eur": 1136.134656353488, "value": 1277.8531236095696 }, { "date": "2025-05-01", "geo": "US", "value_usd": 756.5526792051596, "value_eur": 660.0418165798176, "value": 756.5526792051596 }, { "date": "2025-06-01", "geo": "US", "value_usd": 578.965054454765, "value_eur": 477.7506607975698, "value": 578.965054454765 }, { "date": "2025-07-01", "geo": "US", "value_usd": 1077.7439059541805, "value_eur": 958.4173404261167, "value": 1077.7439059541805 }, { "date": "2025-08-01", "geo": "US", "value_usd": 1018.154211863335, "value_eur": 901.8813676464438, "value": 1018.154211863335 }, { "date": "2025-09-01", "geo": "US", "value_usd": 966.5607307533375, "value_eur": 853.6385762156086, "value": 966.5607307533375 }, { "date": "2025-10-01", "geo": "US", "value_usd": 941.8722454792619, "value_eur": 817.3734627674633, "value": 941.8722454792619 }, { "date": "2025-11-01", "geo": "US", "value_usd": 872.4638415260962, "value_eur": 749.5420116365706, "value": 872.4638415260962 }, { "date": "2025-12-01", "geo": "US", "value_usd": 857.3926512536589, "value_eur": 759.9106007332284, "value": 857.3926512536589 }, { "date": "2026-01-01", "geo": "US", "value_usd": 829.3767120454579, "value_eur": 700.6042867190403, "value": 829.3767120454579 }, { "date": "2026-02-01", "geo": "US", "value_usd": 827.4511455269763, "value_eur": 680.0984575327296, "value": 827.4511455269763 }, { "date": "2026-03-01", "geo": "US", "value_usd": 786.9782918355781, "value_eur": 644.9755584286609, "value": 786.9782918355781 }, { "date": "2026-04-01", "geo": "US", "value_usd": 686.3698707490565, "value_eur": 563.5186805236253, "value": 686.3698707490565 }, { "date": "2026-05-01", "geo": "US", "value_usd": null, "value_eur": null, "value": null }, { "date": "2026-06-01", "geo": "US", "value_usd": null, "value_eur": null, "value": null } ] }