Compensation of general government employees (line 4) - Quarterly [A194RX-Q]
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Source
- Provider
- U.S. Bureau of Economic Analysis
- Dataset
- Table 3.10.6. Real Government Consumption Expenditures and General Government Gross Output, Chained Dollars - LastRevised: November 29, 2023
- Series ID
- [BEA/NIPA-T31006/A194RX-Q]
- Updated on DBnomics on
- November 30, 2023 (8:27 AM)
Dimensions
- Concept [concept]
- Compensation of general government employees [compensation-of-general-government-employees]
- Frequency [FREQ]
- Quarterly [Q]
- Metric [metric]
- Millions of chained Dollars [millions-of-chained-dollars]
- Unit [unit]
- Level [level]
| Period | Value |
|---|---|
| 2007-Q1 | 1741954 |
| 2007-Q2 | 1745426 |
| 2007-Q3 | 1750420 |
| 2007-Q4 | 1758303 |
| 2008-Q1 | 1766140 |
| 2008-Q2 | 1773891 |
| 2008-Q3 | 1785100 |
| 2008-Q4 | 1793166 |
| 2009-Q1 | 1800992 |
| 2009-Q2 | 1809142 |
| 2009-Q3 | 1806713 |
| 2009-Q4 | 1809883 |
| 2010-Q1 | 1809861 |
| 2010-Q2 | 1814990 |
| 2010-Q3 | 1802992 |
| 2010-Q4 | 1798300 |
| 2011-Q1 | 1799206 |
| 2011-Q2 | 1793731 |
| 2011-Q3 | 1781007 |
| 2011-Q4 | 1775576 |
| 2012-Q1 | 1769249 |
| 2012-Q2 | 1762264 |
| 2012-Q3 | 1757606 |
| 2012-Q4 | 1753064 |
| 2013-Q1 | 1750810 |
| 2013-Q2 | 1747013 |
| 2013-Q3 | 1738236 |
| 2013-Q4 | 1729434 |
| 2014-Q1 | 1737177 |
| 2014-Q2 | 1736875 |
| 2014-Q3 | 1733150 |
| 2014-Q4 | 1732863 |
| 2015-Q1 | 1736031 |
| 2015-Q2 | 1737813 |
| 2015-Q3 | 1740844 |
| 2015-Q4 | 1743605 |
| 2016-Q1 | 1750794 |
| 2016-Q2 | 1754387 |
| 2016-Q3 | 1762061 |
| 2016-Q4 | 1763061 |
| 2017-Q1 | 1765181 |
| 2017-Q2 | 1766885 |
| 2017-Q3 | 1771008 |
| 2017-Q4 | 1773863 |
| 2018-Q1 | 1773807 |
| 2018-Q2 | 1779326 |
| 2018-Q3 | 1783374 |
| 2018-Q4 | 1780887 |
| 2019-Q1 | 1775352 |
| 2019-Q2 | 1793511 |
| 2019-Q3 | 1804652 |
| 2019-Q4 | 1815403 |
| 2020-Q1 | 1807596 |
| 2020-Q2 | 1736353 |
| 2020-Q3 | 1766062 |
| 2020-Q4 | 1746882 |
| 2021-Q1 | 1747047 |
| 2021-Q2 | 1754592 |
| 2021-Q3 | 1776542 |
| 2021-Q4 | 1772666 |
| 2022-Q1 | 1773492 |
| 2022-Q2 | 1771981 |
| 2022-Q3 | 1780147 |
| 2022-Q4 | 1786456 |
| 2023-Q1 | 1799465 |
| 2023-Q2 | 1807548 |
| 2023-Q3 | 1819937 |