This post marks the beginning of our monthly report series, where we break down US container ship imports using Bills of Lading (BOL) data. Our primary objective is to provide electric bike import data, which has been lacking in public discourse due to inconsistent use of the proper Harmonized Tariff Schedule (HTS) codes. But before we delve into the methodology, let’s whet your appetite with a chart showcasing electric and traditional bike imports since 2019.
Initially, the volume of traditional bicycle imports dwarfs that of electric bikes. However, when we examine the import share of units, a trend begins to emerge. The unit share of electric bikes follows a seasonal pattern and is trending upward. The latest peaks in late 2022, reaching 30%, are somewhat surprising but may be slightly misleading, as they coincide with a substantial decline in traditional bike imports in the fourth quarter of 2022. To gain a grounded perspective, it’s important to pay attention to the longer-term trend. Electric bike imports are increasing as a proportion of the overall inflows and are likely to continue doing so in the foreseeable future.
Where does this data come from?
All importers of goods are required to fill out bills of lading (BOL), which document the imported items and the applicable Harmonized System (HS) codes. These bills of lading are consolidated by a vessel into a shipping manifest, which must be transmitted to US officials at least 24 hours prior to loading on the vessel. This shipping manifest data serves as our primary source of information on US imports. Once the shipment arrives in the US, a tariff invoice is compiled for each specific item in the shipment. This invoice is what informs the US ITC Dataweb Service.
However, there are some challenges associated with this data. Firstly, the HS code is not the same as the US government’s HTS codes, and only one code per shipment needs to be applied, even if it is a blended container. As a result, sometimes the codes will be for entirely unrelated products. Secondly, value declarations are not provided with the BOL.
Isn’t this data public?
While this data is technically in the public domain, it is not as readily available as the aggregate invoice data released by the government. US officials make import data available through three methods:
1. Direct sharing with specific partner companies such as S&P Global (Panjiva)
2. Aggregate statistics released through the USITC website.
3. Freedom of Information Act requests.
Is the data accurate?
When we talk about accuracy, we refer to the repeatability of a result. Since we use the same dataset and model for each report, the resulting data is accurate. Even as we adjust the model, we will do so retroactively, ensuring that subsequent posts reflect the newly adjusted figures.
However, it’s important to note that these numbers are NOT precise. For example, the estimated 151,349 bikes delivered in January 2019 is very likely not the exact figure. This discrepancy arises from how this data is loaded into BOL databases. Undercounting may occur when bikes are grouped into larger quantity units, such as pallets or larger boxes, which is particularly common with small balance bikes or children’s bikes. On the other hand, overcounting of units may occur when a bicycle shipment is blended with other items that may not all appear in the “product description” field of the BOL data.
Should we trust this data? Absolutely. It serves as an indicator that was previously unavailable, contributing to a better understanding of emerging trends. Just as with visitors to a brands website, this is just one of many indicators that should be used to inform our perspective.
Where do we go from here?
We aim to establish Bicycle Market Research as a consistent source of this import data by providing aggregate-level information for free on our website. We analyze this data using a model that is still in development. As both the data and model are updated, we will continue to post refined data.
Month | Electric | Traditional | Electric Import Share |
Jan 2019 | 8,975 | 151,349 | 5.6% |
Feb 2019 | 10,614 | 192,495 | 5.2% |
Mar 2019 | 7,858 | 133,234 | 5.6% |
Apr 2019 | 9,303 | 105,796 | 8.1% |
May 2019 | 13,342 | 178,777 | 6.9% |
Jun 2019 | 17,021 | 112,529 | 13.1% |
Jul 2019 | 24,014 | 146,737 | 14.1% |
Aug 2019 | 23,901 | 143,959 | 14.2% |
Sep 2019 | 23,251 | 120,161 | 16.2% |
Oct 2019 | 29,786 | 163,962 | 15.4% |
Nov 2019 | 22,048 | 142,414 | 13.4% |
Dec 2019 | 19,676 | 163,130 | 10.8% |
Jan 2020 | 15,933 | 149,980 | 9.6% |
Feb 2020 | 12,884 | 124,714 | 9.4% |
Mar 2020 | 8,722 | 98,681 | 8.1% |
Apr 2020 | 12,993 | 172,392 | 7.0% |
May 2020 | 35,511 | 168,873 | 17.4% |
Jun 2020 | 44,204 | 222,640 | 16.6% |
Jul 2020 | 63,851 | 311,756 | 17.0% |
Aug 2020 | 56,629 | 270,866 | 17.3% |
Sep 2020 | 63,771 | 208,316 | 23.4% |
Oct 2020 | 48,653 | 251,092 | 16.2% |
Nov 2020 | 52,477 | 225,834 | 18.9% |
Dec 2020 | 49,628 | 252,897 | 16.4% |
Jan 2021 | 33,391 | 277,018 | 10.8% |
Feb 2021 | 34,277 | 220,581 | 13.4% |
Mar 2021 | 33,964 | 194,360 | 14.9% |
Apr 2021 | 41,673 | 223,210 | 15.7% |
May 2021 | 78,362 | 206,681 | 27.5% |
Jun 2021 | 49,302 | 246,031 | 16.7% |
Jul 2021 | 48,316 | 237,928 | 16.9% |
Aug 2021 | 45,223 | 229,825 | 16.4% |
Sep 2021 | 53,616 | 199,892 | 21.1% |
Oct 2021 | 49,844 | 224,817 | 18.1% |
Nov 2021 | 38,542 | 293,822 | 11.6% |
Dec 2021 | 38,124 | 290,619 | 11.6% |
Jan 2022 | 36,290 | 279,831 | 11.5% |
Feb 2022 | 31,821 | 292,903 | 9.8% |
Mar 2022 | 47,851 | 229,209 | 17.3% |
Apr 2022 | 39,750 | 214,298 | 15.6% |
May 2022 | 40,436 | 197,278 | 17.0% |
Jun 2022 | 52,056 | 160,558 | 24.5% |
Jul 2022 | 57,028 | 192,006 | 22.9% |
Aug 2022 | 70,319 | 182,818 | 27.8% |
Sep 2022 | 78,600 | 208,277 | 27.4% |
Oct 2022 | 69,302 | 143,177 | 32.6% |
Nov 2022 | 50,447 | 144,341 | 25.9% |
Dec 2022 | 59,252 | 124,037 | 32.3% |
Jan 2023 | 50,560 | 179,678 | 22.0% |
Feb 2023 | 46,132 | 205,907 | 18.3% |
Mar 2023 | 35,999 | 195,368 | 15.6% |
Apr 2023 | 37,656 | 216,028 | 14.8% |