Table Data - Gross Output by Industry: Private Goods-Producing Industries (Chain-Type Quantity Index)
| Title | Gross Output by Industry: Private Goods-Producing Industries (Chain-Type Quantity Index) |
|---|---|
| Series ID | GOQIGPI |
| Source | U.S. Bureau of Economic Analysis |
| Release | Gross Domestic Product by Industry |
| Seasonal Adjustment | Seasonally Adjusted Annual Rate |
| Frequency | Quarterly |
| Units | Index 2017=100 |
| Date Range | 2005-01-01 to 2025-07-01 |
| Last Updated | 2026-01-22 7:35 AM CST |
| Notes | Consists of agriculture, forestry, fishing, and hunting; mining; construction; and manufacturing. Gross output is a measure of an industry's sales or receipts, which can include sales to final users in the economy (GDP) or sales to other industries (intermediate inputs). This product uses the Bureau of Economic Analysis (BEA) Data API but is not endorsed or certified by BEA. |
| DATE | VALUE |
|---|---|
| 2005-01-01 | 99.317 |
| 2005-04-01 | 99.868 |
| 2005-07-01 | 99.504 |
| 2005-10-01 | 101.114 |
| 2006-01-01 | 101.729 |
| 2006-04-01 | 101.312 |
| 2006-07-01 | 100.767 |
| 2006-10-01 | 100.611 |
| 2007-01-01 | 101.199 |
| 2007-04-01 | 102.532 |
| 2007-07-01 | 102.641 |
| 2007-10-01 | 102.217 |
| 2008-01-01 | 100.539 |
| 2008-04-01 | 99.355 |
| 2008-07-01 | 95.851 |
| 2008-10-01 | 92.252 |
| 2009-01-01 | 87.692 |
| 2009-04-01 | 85.237 |
| 2009-07-01 | 86.331 |
| 2009-10-01 | 86.750 |
| 2010-01-01 | 87.071 |
| 2010-04-01 | 88.703 |
| 2010-07-01 | 89.960 |
| 2010-10-01 | 89.946 |
| 2011-01-01 | 90.100 |
| 2011-04-01 | 90.311 |
| 2011-07-01 | 91.125 |
| 2011-10-01 | 92.528 |
| 2012-01-01 | 93.211 |
| 2012-04-01 | 93.329 |
| 2012-07-01 | 93.062 |
| 2012-10-01 | 93.898 |
| 2013-01-01 | 94.692 |
| 2013-04-01 | 95.952 |
| 2013-07-01 | 96.673 |
| 2013-10-01 | 97.404 |
| 2014-01-01 | 97.214 |
| 2014-04-01 | 98.451 |
| 2014-07-01 | 98.972 |
| 2014-10-01 | 98.728 |
| 2015-01-01 | 98.926 |
| 2015-04-01 | 99.362 |
| 2015-07-01 | 99.852 |
| 2015-10-01 | 99.323 |
| 2016-01-01 | 99.655 |
| 2016-04-01 | 99.153 |
| 2016-07-01 | 99.294 |
| 2016-10-01 | 99.670 |
| 2017-01-01 | 99.641 |
| 2017-04-01 | 99.320 |
| 2017-07-01 | 99.586 |
| 2017-10-01 | 101.453 |
| 2018-01-01 | 101.880 |
| 2018-04-01 | 102.688 |
| 2018-07-01 | 103.086 |
| 2018-10-01 | 102.472 |
| 2019-01-01 | 102.079 |
| 2019-04-01 | 102.732 |
| 2019-07-01 | 102.939 |
| 2019-10-01 | 101.399 |
| 2020-01-01 | 100.120 |
| 2020-04-01 | 90.760 |
| 2020-07-01 | 97.673 |
| 2020-10-01 | 99.279 |
| 2021-01-01 | 100.592 |
| 2021-04-01 | 100.003 |
| 2021-07-01 | 99.034 |
| 2021-10-01 | 99.794 |
| 2022-01-01 | 99.744 |
| 2022-04-01 | 98.859 |
| 2022-07-01 | 99.228 |
| 2022-10-01 | 99.837 |
| 2023-01-01 | 100.373 |
| 2023-04-01 | 101.700 |
| 2023-07-01 | 102.928 |
| 2023-10-01 | 103.353 |
| 2024-01-01 | 103.123 |
| 2024-04-01 | 103.277 |
| 2024-07-01 | 103.101 |
| 2024-10-01 | 103.112 |
| 2025-01-01 | 102.881 |
| 2025-04-01 | 103.042 |
| 2025-07-01 | 103.005 |