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United Kingdom Imports of goods, services and primary income (BoP, current US$)
What is United Kingdom's imports of goods, services and primary income (bop, current us$)? As of 2023, it's 1.7T current US$, up from 1.2T current US$ in 2014.
| Label | Imports of goods, services and primary income (BoP, current US$) |
|---|---|
| 2014 | 1234765412828.1665 current US$ |
| 2015 | 1132869817819.2195 current US$ |
| 2016 | 1082386389689.2053 current US$ |
| 2017 | 1139223249501.3616 current US$ |
| 2018 | 1277683864667.3193 current US$ |
| 2019 | 1236295225782.946 current US$ |
| 2020 | 1021047423975.8572 current US$ |
| 2021 | 1218215225467.0896 current US$ |
| 2022 | 1498944350737.0237 current US$ |
| 2023 | 1703137177812.9768 current US$ |
Data Source: World Bank and Wantstats Repository
United Kingdom Imports of goods, services and primary income (BoP, current US$): Key Points
- Measured in 2023, United Kingdom's imports of goods, services and primary income sits at 1703.14B current US$. The series opened at 1234.77B current US$ in 2014, making the full move a 38% rise.
- 2015-2016: slides to 1082.39B current US$ (-12%).
- 2017-2018: climbs to 1277.68B current US$ (+18%).
- 2019-2020: drifts lower, 1021.05B current US$ (-20%).
- 2021-2023: shoots up to 1703.14B current US$ (+67%).
- 2023: Series wraps up at 1703.14B current US$, a net 37.9% gain across the whole run.
Making Sense Of The Swings
A series that moves both ways like this is telling you the underlying driver isn't fixed — conditions are shifting, or the indicator itself is sensitive to short-term noise.
Timing matters here: 2020 is when most of the world went through some version of pandemic disruption. This chart's dip landing in that same year is worth keeping in mind, even without certainty about the specific cause.
The scale of the 2022 move — 23% — is unusual enough that it is worth treating as a flag, not just a data point. Confirm the cause before leaning on it.
Source here is a national/international statistics body, not a live measurement — most time series like this are interpolated or modeled between actual survey years. Treat the trend as the real signal, individual years as approximate.
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