Table Data - Import Price Index by Origin (NAICS): Leather and Allied Product Manufacturing for China
| Title | Import Price Index by Origin (NAICS): Leather and Allied Product Manufacturing for China |
|---|---|
| Series ID | COCHNZ316 |
| Source | U.S. Bureau of Labor Statistics |
| Release | U.S. Import and Export Price Indexes |
| Seasonal Adjustment | Not Seasonally Adjusted |
| Frequency | Monthly |
| Units | Index Jun 2012=100 |
| Date Range | 2012-06-01 to 2024-08-01 |
| Last Updated | 2024-09-13 7:37 AM CDT |
| Notes |
| DATE | VALUE |
|---|---|
| 2012-06-01 | 100.0 |
| 2012-07-01 | 99.9 |
| 2012-08-01 | 100.2 |
| 2012-09-01 | 100.2 |
| 2012-10-01 | 100.1 |
| 2012-11-01 | 100.1 |
| 2012-12-01 | 100.2 |
| 2013-01-01 | 100.5 |
| 2013-02-01 | 100.4 |
| 2013-03-01 | 100.5 |
| 2013-04-01 | 100.6 |
| 2013-05-01 | 100.4 |
| 2013-06-01 | 100.7 |
| 2013-07-01 | 100.3 |
| 2013-08-01 | 100.3 |
| 2013-09-01 | 100.3 |
| 2013-10-01 | 100.4 |
| 2013-11-01 | 100.4 |
| 2013-12-01 | 100.4 |
| 2014-01-01 | 100.4 |
| 2014-02-01 | 100.6 |
| 2014-03-01 | 100.8 |
| 2014-04-01 | 101.1 |
| 2014-05-01 | 101.3 |
| 2014-06-01 | 101.3 |
| 2014-07-01 | 101.3 |
| 2014-08-01 | 101.4 |
| 2014-09-01 | 101.3 |
| 2014-10-01 | 101.3 |
| 2014-11-01 | 101.2 |
| 2014-12-01 | 101.2 |
| 2015-01-01 | 101.5 |
| 2015-02-01 | 101.6 |
| 2015-03-01 | 101.6 |
| 2015-04-01 | 101.7 |
| 2015-05-01 | 101.7 |
| 2015-06-01 | 101.8 |
| 2015-07-01 | 101.8 |
| 2015-08-01 | 101.8 |
| 2015-09-01 | 102.0 |
| 2015-10-01 | 102.0 |
| 2015-11-01 | 102.0 |
| 2015-12-01 | 101.9 |
| 2016-01-01 | 101.6 |
| 2016-02-01 | 101.6 |
| 2016-03-01 | 101.6 |
| 2016-04-01 | 101.5 |
| 2016-05-01 | 101.5 |
| 2016-06-01 | 101.3 |
| 2016-07-01 | 101.3 |
| 2016-08-01 | 101.1 |
| 2016-09-01 | 101.0 |
| 2016-10-01 | 101.0 |
| 2016-11-01 | 101.0 |
| 2016-12-01 | 101.0 |
| 2017-01-01 | 101.0 |
| 2017-02-01 | 101.0 |
| 2017-03-01 | 100.9 |
| 2017-04-01 | 100.9 |
| 2017-05-01 | 100.9 |
| 2017-06-01 | 100.9 |
| 2017-07-01 | 100.5 |
| 2017-08-01 | 100.5 |
| 2017-09-01 | 100.3 |
| 2017-10-01 | 100.5 |
| 2017-11-01 | 100.7 |
| 2017-12-01 | 100.8 |
| 2018-01-01 | 100.8 |
| 2018-02-01 | 100.9 |
| 2018-03-01 | 101.2 |
| 2018-04-01 | 101.2 |
| 2018-05-01 | 101.4 |
| 2018-06-01 | 101.5 |
| 2018-07-01 | 101.6 |
| 2018-08-01 | 101.6 |
| 2018-09-01 | 101.4 |
| 2018-10-01 | 101.5 |
| 2018-11-01 | 101.5 |
| 2018-12-01 | 101.8 |
| 2019-01-01 | 101.8 |
| 2019-02-01 | 101.7 |
| 2019-03-01 | 101.3 |
| 2019-04-01 | 101.3 |
| 2019-05-01 | 101.4 |
| 2019-06-01 | 101.4 |
| 2019-07-01 | 101.4 |
| 2019-08-01 | 101.2 |
| 2019-09-01 | 101.1 |
| 2019-10-01 | 101.2 |
| 2019-11-01 | 101.4 |
| 2019-12-01 | 101.2 |
| 2020-01-01 | 101.1 |
| 2020-02-01 | 101.5 |
| 2020-03-01 | 101.4 |
| 2020-04-01 | 101.4 |
| 2020-05-01 | 101.4 |
| 2020-06-01 | 101.3 |
| 2020-07-01 | 101.5 |
| 2020-08-01 | 101.5 |
| 2020-09-01 | 101.3 |
| 2020-10-01 | 102.1 |
| 2020-11-01 | 101.1 |
| 2020-12-01 | 101.6 |
| 2021-01-01 | 101.4 |
| 2021-02-01 | 101.5 |
| 2021-03-01 | 101.6 |
| 2021-04-01 | 101.7 |
| 2021-05-01 | 102.2 |
| 2021-06-01 | 103.1 |
| 2021-07-01 | 103.9 |
| 2021-08-01 | 103.8 |
| 2021-09-01 | 104.1 |
| 2021-10-01 | 104.3 |
| 2021-11-01 | 104.7 |
| 2021-12-01 | 105.3 |
| 2022-01-01 | 104.6 |
| 2022-02-01 | 104.9 |
| 2022-03-01 | 105.1 |
| 2022-04-01 | 105.3 |
| 2022-05-01 | 105.4 |
| 2022-06-01 | 105.2 |
| 2022-07-01 | 107.1 |
| 2022-08-01 | 107.4 |
| 2022-09-01 | 107.9 |
| 2022-10-01 | 107.7 |
| 2022-11-01 | 107.6 |
| 2022-12-01 | 107.3 |
| 2023-01-01 | 107.2 |
| 2023-02-01 | 107.2 |
| 2023-03-01 | 106.8 |
| 2023-04-01 | 106.8 |
| 2023-05-01 | 106.7 |
| 2023-06-01 | 106.7 |
| 2023-07-01 | 106.6 |
| 2023-08-01 | 106.5 |
| 2023-09-01 | 106.6 |
| 2023-10-01 | 106.5 |
| 2023-11-01 | 106.4 |
| 2023-12-01 | 106.0 |
| 2024-01-01 | 106.3 |
| 2024-02-01 | 106.3 |
| 2024-03-01 | 106.4 |
| 2024-04-01 | 106.6 |
| 2024-05-01 | 106.6 |
| 2024-06-01 | 107.1 |
| 2024-07-01 | 108.4 |
| 2024-08-01 | 108.4 |
