Table Data - Value Added by Industry: Private Goods-Producing Industries (Chain-Type Quantity Index)
| Title | Value Added by Industry: Private Goods-Producing Industries (Chain-Type Quantity Index) |
|---|---|
| Series ID | VAQIGPI |
| 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 2024-07-01 |
| Last Updated | 2024-12-19 7:31 AM CST |
| Notes | Consists of agriculture, forestry, fishing, and hunting; mining; construction; and manufacturing. Value added represents the sum of the costs-incurred and the incomes-earned in production, and consists of compensation of employees, taxes on production and imports, less subsidies, and gross operating surplus. This product uses the Bureau of Economic Analysis (BEA) Data API but is not endorsed or certified by BEA. |
| DATE | VALUE |
|---|---|
| 2005-01-01 | 88.947 |
| 2005-04-01 | 88.779 |
| 2005-07-01 | 88.719 |
| 2005-10-01 | 89.578 |
| 2006-01-01 | 92.786 |
| 2006-04-01 | 92.740 |
| 2006-07-01 | 92.288 |
| 2006-10-01 | 93.451 |
| 2007-01-01 | 93.607 |
| 2007-04-01 | 95.044 |
| 2007-07-01 | 95.380 |
| 2007-10-01 | 95.136 |
| 2008-01-01 | 91.798 |
| 2008-04-01 | 92.028 |
| 2008-07-01 | 90.848 |
| 2008-10-01 | 89.490 |
| 2009-01-01 | 85.294 |
| 2009-04-01 | 84.168 |
| 2009-07-01 | 85.156 |
| 2009-10-01 | 85.829 |
| 2010-01-01 | 85.236 |
| 2010-04-01 | 86.237 |
| 2010-07-01 | 86.813 |
| 2010-10-01 | 86.890 |
| 2011-01-01 | 86.059 |
| 2011-04-01 | 86.467 |
| 2011-07-01 | 86.443 |
| 2011-10-01 | 87.834 |
| 2012-01-01 | 88.888 |
| 2012-04-01 | 88.935 |
| 2012-07-01 | 87.599 |
| 2012-10-01 | 87.654 |
| 2013-01-01 | 90.310 |
| 2013-04-01 | 91.317 |
| 2013-07-01 | 92.577 |
| 2013-10-01 | 92.952 |
| 2014-01-01 | 91.677 |
| 2014-04-01 | 93.799 |
| 2014-07-01 | 94.895 |
| 2014-10-01 | 95.813 |
| 2015-01-01 | 97.092 |
| 2015-04-01 | 96.365 |
| 2015-07-01 | 96.995 |
| 2015-10-01 | 96.675 |
| 2016-01-01 | 97.771 |
| 2016-04-01 | 96.706 |
| 2016-07-01 | 97.131 |
| 2016-10-01 | 96.889 |
| 2017-01-01 | 98.139 |
| 2017-04-01 | 99.487 |
| 2017-07-01 | 100.132 |
| 2017-10-01 | 102.242 |
| 2018-01-01 | 103.208 |
| 2018-04-01 | 103.982 |
| 2018-07-01 | 104.370 |
| 2018-10-01 | 105.367 |
| 2019-01-01 | 105.010 |
| 2019-04-01 | 105.758 |
| 2019-07-01 | 106.710 |
| 2019-10-01 | 106.021 |
| 2020-01-01 | 104.151 |
| 2020-04-01 | 95.292 |
| 2020-07-01 | 104.056 |
| 2020-10-01 | 105.596 |
| 2021-01-01 | 106.855 |
| 2021-04-01 | 107.467 |
| 2021-07-01 | 106.867 |
| 2021-10-01 | 108.461 |
| 2022-01-01 | 107.135 |
| 2022-04-01 | 104.842 |
| 2022-07-01 | 104.523 |
| 2022-10-01 | 105.976 |
| 2023-01-01 | 105.114 |
| 2023-04-01 | 107.586 |
| 2023-07-01 | 109.861 |
| 2023-10-01 | 110.998 |
| 2024-01-01 | 110.281 |
| 2024-04-01 | 112.149 |
| 2024-07-01 | 112.577 |
