Prices Analytical Series
Transportation and Supply Chain Indices
Text begins
Understanding the dynamics of Canada's supply chains and transportation networks is essential for analyzing and measuring economic resilience and performance, supporting evidence-based decision-making in a complex global trade environment. With the support of Transport Canada, Statistics Canada developed two experimental indicators: the Transportation Services Index (TSI) and the Supply Chain Services Price Index (SCSPI) to offer valuable insights into these systems. The SCSPI tracks price changes across various aspects of transportation within the supply chain, helping identify inflationary pressures and transport challenges. Meanwhile, the TSI measures the volume of goods transported across modes, providing an updated view of economic activity and logistics efficiency.
Transportation Services Index (TSI)
The TSI is a Laspeyres-type volume index that includes domestic "for-hire" freight transportation only, specified under NAICS 48. For-hire transportation consists of freight provided by a firm to external customers for a fee. The TSI does not include taxi services, paid ride services in personal motor vehicles, intercity bus services, in-house transportation (vehicles owned and operated by private firms for their own use), or passenger transport services. The index does not include international or coastal waterborne movements, private trucking, courier services, or the postal service. The index is available and is calculated monthly, contingent upon data availability.
This differentiates the TSI from Gross Domestic Product (GDP) estimates, which measure the total value of all final goods and services produced across the entire economy, including government‑provided nonmarket output and industries unrelated to transportation. The TSI tracks real changes in movements of goods across the transportation industry. GDP also incorporates all transportation activities beyond the scope of the TSI, such as private trucking and courier services.
Index Calculation
The Canadian TSI is designed to provide a national volume indicator that is methodologically comparable to other international transportation volume indexes. Its construction is aligned with the framework developed by the United States Bureau of Transportation Statistics for the U.S. Transportation Services IndexNote , thereby facilitating bilateral comparability. This alignment is particularly relevant given the high degree of integration between Canadian and U.S. transportation systems through cross‑border trade flows.
The elementary volume indexes are aggregated across all five modes of transportation to construct the TSI using a fixed‑base, weighted arithmetic average, based on the weights described in the following section. The aggregation structure can be found in Appendix B. The monthly index for TSI is given by:
: The total monthly TSI at time t
: Weight of transportation mode i in period t
: Volume index value for a mode of transportation i for period t
The TSI is constructed using data compiled from various Statistics Canada sources. For each transportation industry, a Volume Index (VI) is computed as a volume relative, defined as the ratio of current‑period domestic volume to the previous period (t / t–1), and with volumes measured in their appropriate physical units (e.g., tonne, cubic meter, kilogram). These volume relatives form the elementary indexes used in the TSI. Physical units are kept consistent across reference periods for each mode of transport; when unit definitions or measurement practices change, appropriate conversions are applied to maintain continuity. In cases where direct volume data are unavailable due to data limitations, an appropriate and methodologically comparable proxy estimate is employed to maintain coherence in the series.
With each data calculation, estimates for the previous six months may be revised. Furthermore, the series is subject to an annual revision when the data for June of the subsequent reference year becomes available.
Weights
Using Supply Use Tables (SUT)Note , individual industry weights are established to aggregate to the total TSI. By leveraging detailed data from the SUT, we can enhance the accuracy of indices by capturing a detailed view of the transportation industry output, highlighting how different sectors contribute to overall economic activity. The distribution of weights for each included industry is as follows:
| (NAICS 2022) | Weights |
|---|---|
| percent | |
| NAICS 481: Air transportation | 2 |
| NAICS 482: Rail transportation | 16 |
| NAICS 4861: Oil Pipeline Transportation | 7 |
| NAICS 4862: Natural Gas Pipeline Transportation | 6 |
| NAICS 484: Truck transportation | 69 |
Seasonal Adjustment
Seasonal adjustment of the TSI refines the measurement of domestic transportation by filtering out predictable, recurring fluctuations—such as holiday effects or weather-related patterns—that can obscure true economic signals. This process enables more meaningful comparisons across time periods and strengthens the reliability of trend analysis, forecasting, and policy evaluation. The TSI utilizes the X-13 ARIMA-SEATS methodology, developed by the U.S. Census Bureau, to perform seasonal adjustments. Currently seasonal adjustment is only calculated at the Total TSI level.
Results and Analysis
Since 2020, TSI has shown overall growth and TSI volume levels have remained above January 2020 levels, surpassing them initially from March 2021. After declining monthly from -2.0% to -16.8% in February to April 2020, TSI has shown generally steady growth starting from May 2020. During these consecutive months of decline in 2020, the TSI showed its largest year-over-year decline (-22.1%) in April 2020. When looking at its pandemic recovery, TSI showed its first year-over-year growth in March 2021 of +5.9%. Since the pandemic decline and recovery, the TSI has shown some stability with smaller movements overall, including general growth from year to year.

Data table for Chart 1
| TSI M-o-M | TSI Index Value | |
|---|---|---|
| percentage change | index (Jan 2018=100) | |
| Source: Statistics Canada Transportation Services Index (Appendix A). | ||
| 2018 | ||
| January | 0.9 | 100.0 |
| February | -2.5 | 97.5 |
| March | 1.9 | 99.3 |
| April | -2.8 | 96.5 |
| May | -0.1 | 96.4 |
| June | -0.7 | 95.8 |
| July | -0.1 | 95.7 |
| August | 0.3 | 96.0 |
| September | 0.2 | 96.2 |
| October | 2.2 | 98.3 |
| November | 0.1 | 98.5 |
| December | 0.5 | 99.0 |
| 2019 | ||
| January | 1.3 | 100.2 |
| February | -4.0 | 96.2 |
| March | 4.0 | 100.1 |
| April | 0.0 | 100.1 |
| May | 1.4 | 101.5 |
| June | -1.1 | 100.4 |
| July | 0.4 | 100.8 |
| August | 0.4 | 101.2 |
| September | -1.8 | 99.4 |
| October | 1.7 | 101.1 |
| November | -1.0 | 100.1 |
| December | 2.4 | 102.5 |
| 2020 | ||
| January | -1.3 | 101.2 |
| February | -2.0 | 99.2 |
| March | -5.5 | 93.8 |
| April | -16.8 | 78.0 |
| May | 2.2 | 79.7 |
| June | 9.0 | 86.9 |
| July | 2.5 | 89.0 |
| August | -1.0 | 88.1 |
| September | 3.6 | 91.3 |
| October | 4.9 | 95.7 |
| November | 1.4 | 97.1 |
| December | 1.9 | 99.0 |
| 2021 | ||
| January | 0.1 | 99.1 |
| February | -4.4 | 94.7 |
| March | 4.8 | 99.3 |
| April | -2.0 | 97.3 |
| May | -1.7 | 95.7 |
| June | -0.4 | 95.3 |
| July | 0.2 | 95.5 |
| August | 2.8 | 98.1 |
| September | 2.3 | 100.4 |
| October | 2.8 | 103.1 |
| November | 0.6 | 103.8 |
| December | 1.3 | 105.1 |
| 2022 | ||
| January | -0.9 | 104.2 |
| February | -2.2 | 101.9 |
| March | 3.2 | 105.2 |
| April | -2.1 | 103.0 |
| May | -0.7 | 102.3 |
| June | -1.6 | 100.7 |
| July | 0.1 | 100.8 |
| August | 0.1 | 100.9 |
| September | -0.7 | 100.2 |
| October | 2.1 | 102.3 |
| November | -0.2 | 102.0 |
| December | -1.1 | 100.9 |
| 2023 | ||
| January | 3.0 | 103.9 |
| February | -2.5 | 101.3 |
| March | 4.0 | 105.4 |
| April | -2.5 | 102.7 |
| May | -0.6 | 102.1 |
| June | -1.5 | 100.6 |
| July | 1.3 | 101.8 |
| August | 1.0 | 102.8 |
| September | -0.5 | 102.3 |
| October | 1.4 | 103.7 |
| November | 1.7 | 105.5 |
| December | 0.1 | 105.6 |
| 2024 | ||
| January | 0.8 | 106.4 |
| February | -0.8 | 105.6 |
| March | 0.7 | 106.4 |
| April | -1.0 | 105.3 |
| May | -0.7 | 104.5 |
| June | -0.8 | 103.7 |
| July | 1.3 | 105.0 |
| August | -1.3 | 103.6 |
| September | -0.3 | 103.3 |
| October | 2.8 | 106.2 |
| November | -0.7 | 105.4 |
| December | 2.3 | 107.8 |
| 2025 | ||
| January | 0.7 | 108.6 |
| February | -4.1 | 104.1 |
| March | 3.6 | 107.9 |
| April | -3.0 | 104.7 |
| May | -0.8 | 103.8 |
| June | -1.5 | 102.3 |
| July | 1.8 | 104.1 |
| August | -1.4 | 102.6 |
| September | 0.9 | 103.5 |
| October | 2.7 | 106.3 |
| November | 0.7 | 107.0 |
| December | 3.0 | 110.2 |
The comparison between the seasonally adjusted and unadjusted TSI highlights underlying economic tendencies and movements in domestic transportation volumes, removing factors such as number of days in a month and any seasonal or holiday impacts. The seasonally adjusted TSI surpassed its December 2019 level in October 2021 and remained above that level through September 2025, demonstrating the overall growth since the decline in 2020 due to the pandemic restrictions.

Data table for Chart 2
| TSI Seasonal Adjusted | TSI Index Value | |
|---|---|---|
| index (Jan 2018=100) | ||
| Source: Statistics Canada Transportation Services Index (Appendix A). | ||
| 2018 | ||
| January | 99.9 | 100.0 |
| February | 100.8 | 97.5 |
| March | 99.9 | 99.3 |
| April | 98.5 | 96.5 |
| May | 97.9 | 96.4 |
| June | 98.4 | 95.8 |
| July | 98.0 | 95.7 |
| August | 97.9 | 96.0 |
| September | 98.5 | 96.2 |
| October | 98.8 | 98.3 |
| November | 99.0 | 98.5 |
| December | 98.9 | 99.0 |
| 2019 | ||
| January | 99.7 | 100.2 |
| February | 99.6 | 96.2 |
| March | 100.4 | 100.1 |
| April | 102.2 | 100.1 |
| May | 103.2 | 101.5 |
| June | 103.2 | 100.4 |
| July | 103.1 | 100.8 |
| August | 103.8 | 101.2 |
| September | 102.0 | 99.4 |
| October | 101.2 | 101.1 |
| November | 100.7 | 100.1 |
| December | 102.1 | 102.5 |
| 2020 | ||
| January | 100.6 | 101.2 |
| February | 100.5 | 99.2 |
| March | 93.8 | 93.8 |
| April | 79.2 | 78.0 |
| May | 81.5 | 79.7 |
| June | 90.0 | 86.9 |
| July | 91.1 | 89.0 |
| August | 90.8 | 88.1 |
| September | 93.2 | 91.3 |
| October | 96.3 | 95.7 |
| November | 97.7 | 97.1 |
| December | 98.1 | 99.0 |
| 2021 | ||
| January | 98.8 | 99.1 |
| February | 97.9 | 94.7 |
| March | 99.1 | 99.3 |
| April | 99.0 | 97.3 |
| May | 98.1 | 95.7 |
| June | 98.2 | 95.3 |
| July | 98.3 | 95.5 |
| August | 100.7 | 98.1 |
| September | 102.8 | 100.4 |
| October | 103.5 | 103.1 |
| November | 104.5 | 103.8 |
| December | 104.4 | 105.1 |
| 2022 | ||
| January | 104.2 | 104.2 |
| February | 105.1 | 101.9 |
| March | 104.6 | 105.2 |
| April | 104.7 | 103.0 |
| May | 104.5 | 102.3 |
| June | 104.0 | 100.7 |
| July | 103.4 | 100.8 |
| August | 103.4 | 100.9 |
| September | 102.9 | 100.2 |
| October | 103.0 | 102.3 |
| November | 102.1 | 102.0 |
| December | 100.8 | 100.9 |
| 2023 | ||
| January | 103.6 | 103.9 |
| February | 104.3 | 101.3 |
| March | 104.8 | 105.4 |
| April | 104.2 | 102.7 |
| May | 104.2 | 102.1 |
| June | 104.1 | 100.6 |
| July | 104.8 | 101.8 |
| August | 105.1 | 102.8 |
| September | 105.3 | 102.3 |
| October | 104.3 | 103.7 |
| November | 106.0 | 105.5 |
| December | 105.5 | 105.6 |
| 2024 | ||
| January | 105.8 | 106.4 |
| February | 106.3 | 105.6 |
| March | 105.9 | 106.4 |
| April | 107.2 | 105.3 |
| May | 106.5 | 104.5 |
| June | 107.4 | 103.7 |
| July | 107.4 | 105.0 |
| August | 106.3 | 103.6 |
| September | 106.4 | 103.3 |
| October | 106.4 | 106.2 |
| November | 106.3 | 105.4 |
| December | 107.7 | 107.8 |
| 2025 | ||
| January | 107.6 | 108.6 |
| February | 107.0 | 104.1 |
| March | 107.6 | 107.9 |
| April | 106.4 | 104.7 |
| May | 107.1 | 103.8 |
| June | 106.8 | 102.3 |
| July | 107.0 | 104.1 |
| August | 106.6 | 102.6 |
| September | 107.5 | 103.5 |
| October | 107.8 | 106.3 |
| November | 108.2 | 107.0 |
| December | 109.0 | 110.2 |
Supply Chain Services Price Index
The Supply Chain Services Price Index (SCSPI) is a composite index that tracks monthly price changes for freight transportation services provided by the for-hire transportation sector in Canada, following the same definition of the TSI. The SCSPI excludes passenger transportation services, private carriers, and oil and natural gas pipeline transportation from index estimation. The index is made available for a monthly reference period and is estimated quarterly, subject to data availability.
Index Calculation
The elementary price indexes are aggregated across all five subsectors (see Appendix B for aggregation structure of included industries) to construct the SCSPI using a fixed‑base, weighted arithmetic average, based on the weights described in the following section. The aggregation structure can be found in Appendix B. The monthly SCSPI is estimated using the following formula:
: The total monthly SCSPI at time t
: The elementary aggregate for subsector i at time t
:Price Updated weight of subsector i at time t
The data used to construct the SCSPI are drawn from various datasets previously compiled by Statistics Canada. If a price index is not directly available a unit-value price index is compiled. Because each elementary aggregate (EA) is itself an index, the subsector‑level relatives are used directly in the calculation of the SCSPI.
With each data calculation, estimates for the previous quarter may be revised. Furthermore, the series is subject to an annual revision when the data for the second quarter of the subsequent reference year becomes available.
Weights
Using Supply-Use Tables, individual industry weights are established to aggregate to the total SCSPI. By leveraging detailed data from the SUT, we can enhance the accuracy of indices by capturing intricate details of the transport industries, thereby offering a granular view of economic activities. The distribution of weights for each included industry is as follows:
| (NAICS 2022) | Weights |
|---|---|
| percent | |
| NAICS 481: Air transportation | 8 |
| NAICS 482: Rail transportation | 14 |
| NAICS 483: Water transportation | 4 |
| NAICS 484: Truck transportation | 61 |
| NAICS 492: Couriers and messengers | 12 |
The weights for the SCSPI are price updated which allows the index to be chained, as well as to be calculated between month t and t-1 without referring to the base period t0. Price updated weights, , can be obtained by multiplying the initial revenue weights by price relatives, using the following formula:
: The elementary aggregate for subsector i at time t
: Weight of subsector i at time t
Results and Analysis
Overall, SCSPI was stable throughout 2019 until March 2020, which was then followed by many sequential monthly decreases. Subsequently, the SCPI started a continued growth pattern from January 2021 until July 2022. This was followed by decreases until June 2023, from which it stabilized until 2025. The largest monthly movements were from increases in March through May 2022, increasing between 3.2% and 3.8%. Alternatively, the largest decrease was in May 2025 at -2.0%. SCSPI can be impacted by fuel prices, as many components of the index include fuel surcharges (adjusted with fuel prices).

Data table for Chart 3
| SCSPI Month-Over-Month | SCSPI Total | |
|---|---|---|
| percentage change | index (Jan 2018=100) | |
|
||
| 2018 | ||
| January | ... not applicable | 100.0 |
| February | 0.7 | 100.7 |
| March | 0.6 | 101.3 |
| April | 0.8 | 102.0 |
| May | 0.9 | 103.0 |
| June | 1.8 | 104.8 |
| July | 0.4 | 105.2 |
| August | -0.1 | 105.2 |
| September | 0.2 | 105.4 |
| October | 0.6 | 106.0 |
| November | 0.3 | 106.3 |
| December | 0.0 | 106.3 |
| 2019 | ||
| January | -0.1 | 106.2 |
| February | -0.1 | 106.1 |
| March | 0.8 | 106.9 |
| April | 0.4 | 107.3 |
| May | 0.6 | 108.0 |
| June | -0.2 | 107.7 |
| July | -0.4 | 107.3 |
| August | 0.3 | 107.6 |
| September | -0.1 | 107.5 |
| October | -0.5 | 106.9 |
| November | 0.6 | 107.5 |
| December | 0.2 | 107.8 |
| 2020 | ||
| January | 1.0 | 108.8 |
| February | 0.0 | 108.8 |
| March | -0.3 | 108.4 |
| April | -1.8 | 106.5 |
| May | -1.3 | 105.1 |
| June | -0.6 | 104.5 |
| July | -0.1 | 104.4 |
| August | 0.0 | 104.3 |
| September | 0.7 | 105.0 |
| October | 0.2 | 105.2 |
| November | -0.1 | 105.1 |
| December | 0.2 | 105.3 |
| 2021 | ||
| January | 1.7 | 107.1 |
| February | 0.6 | 107.7 |
| March | 0.7 | 108.5 |
| April | 1.3 | 110.0 |
| May | -0.1 | 109.8 |
| June | 0.7 | 110.6 |
| July | 1.4 | 112.1 |
| August | 0.7 | 112.9 |
| September | 0.4 | 113.3 |
| October | 2.9 | 116.6 |
| November | 1.5 | 118.4 |
| December | 0.7 | 119.3 |
| 2022 | ||
| January | 2.5 | 122.3 |
| February | 2.0 | 124.8 |
| March | 3.8 | 129.6 |
| April | 4.1 | 134.8 |
| May | 3.2 | 139.2 |
| June | 0.9 | 140.5 |
| July | 0.4 | 141.1 |
| August | -1.8 | 138.6 |
| September | 0.2 | 138.8 |
| October | 0.5 | 139.5 |
| November | 1.3 | 141.4 |
| December | -0.9 | 140.1 |
| 2023 | ||
| January | -1.9 | 137.5 |
| February | -0.9 | 136.2 |
| March | -0.6 | 135.4 |
| April | -1.3 | 133.6 |
| May | -0.4 | 133.0 |
| June | -0.7 | 132.1 |
| July | 0.2 | 132.4 |
| August | 0.9 | 133.5 |
| September | 1.3 | 135.3 |
| October | 0.8 | 136.4 |
| November | 0.0 | 136.3 |
| December | -0.7 | 135.3 |
| 2024 | ||
| January | -0.2 | 135.0 |
| February | 0.4 | 135.6 |
| March | 0.2 | 135.8 |
| April | 0.8 | 136.8 |
| May | 0.0 | 136.8 |
| June | -0.5 | 136.2 |
| July | 1.5 | 138.3 |
| August | -0.1 | 138.1 |
| September | -0.6 | 137.3 |
| October | -0.4 | 136.7 |
| November | -0.4 | 136.2 |
| December | ||
| 2025 | 0.4 | 136.8 |
| January | 2.2 | 139.9 |
| February | 0.9 | 141.1 |
| March | -0.1 | 140.9 |
| April | -1.8 | 138.3 |
| May | -0.9 | 137.1 |
| June | -0.4 | 136.5 |
| July | 0.9 | 137.8 |
| August | 0.2 | 138.0 |
| September | 0.3 | 138.4 |
| October | 0.7 | 139.4 |
| November | 0.6 | 140.2 |
| December | -0.1 | 140.1 |
Appendix A
| Reference Period | TSI Unadjusted | TSI Seasonally Adjusted | SCSPI |
|---|---|---|---|
| (Jan 2018=100) | percentage change | (Jan 2018=100) | |
| 2018 | |||
| January | 100.0 | 99.9 | 100.0 |
| February | 97.5 | 100.8 | 100.7 |
| March | 99.3 | 99.9 | 101.3 |
| April | 96.5 | 98.5 | 102.0 |
| May | 96.4 | 97.9 | 103.0 |
| June | 95.8 | 98.4 | 104.8 |
| July | 95.7 | 98.0 | 105.2 |
| August | 96.0 | 97.9 | 105.2 |
| September | 96.2 | 98.5 | 105.4 |
| October | 98.3 | 98.8 | 106.0 |
| November | 98.5 | 99.0 | 106.3 |
| December | 99.0 | 98.9 | 106.3 |
| 2019 | |||
| January | 100.2 | 99.7 | 106.2 |
| February | 96.2 | 99.6 | 106.1 |
| March | 100.1 | 100.4 | 106.9 |
| April | 100.1 | 102.2 | 107.3 |
| May | 101.5 | 103.2 | 108.0 |
| June | 100.4 | 103.2 | 107.7 |
| July | 100.8 | 103.1 | 107.3 |
| August | 101.2 | 103.8 | 107.6 |
| September | 99.4 | 102.0 | 107.5 |
| October | 101.1 | 101.2 | 106.9 |
| November | 100.1 | 100.7 | 107.5 |
| December | 102.5 | 102.1 | 107.8 |
| 2020 | |||
| January | 101.2 | 100.6 | 108.8 |
| February | 99.2 | 100.5 | 108.8 |
| March | 93.8 | 93.8 | 108.4 |
| April | 78.0 | 79.2 | 106.5 |
| May | 79.7 | 81.5 | 105.1 |
| June | 86.9 | 90.0 | 104.5 |
| July | 89.0 | 91.1 | 104.4 |
| August | 88.1 | 90.8 | 104.3 |
| September | 91.3 | 93.2 | 105.0 |
| October | 95.7 | 96.3 | 105.2 |
| November | 97.1 | 97.7 | 105.1 |
| December | 99.0 | 98.1 | 105.3 |
| 2021 | |||
| January | 99.1 | 98.8 | 107.1 |
| February | 94.7 | 97.9 | 107.7 |
| March | 99.3 | 99.1 | 108.5 |
| April | 97.3 | 99.0 | 110.0 |
| May | 95.7 | 98.1 | 109.8 |
| June | 95.3 | 98.2 | 110.6 |
| July | 95.5 | 98.3 | 112.1 |
| August | 98.1 | 100.7 | 112.9 |
| September | 100.4 | 102.8 | 113.3 |
| October | 103.1 | 103.5 | 116.6 |
| November | 103.8 | 104.5 | 118.4 |
| December | 105.1 | 104.4 | 119.3 |
| 2022 | |||
| January | 104.2 | 104.2 | 122.3 |
| February | 101.9 | 105.1 | 124.8 |
| March | 105.2 | 104.6 | 129.6 |
| April | 103.0 | 104.7 | 134.8 |
| May | 102.3 | 104.5 | 139.2 |
| June | 100.7 | 104.0 | 140.5 |
| July | 100.8 | 103.4 | 141.1 |
| August | 100.9 | 103.4 | 138.6 |
| September | 100.2 | 102.9 | 138.8 |
| October | 102.3 | 103.0 | 139.5 |
| November | 102.0 | 102.1 | 141.4 |
| December | 100.9 | 100.8 | 140.1 |
| 2023 | |||
| January | 103.9 | 103.6 | 137.5 |
| February | 101.3 | 104.3 | 136.2 |
| March | 105.4 | 104.8 | 135.4 |
| April | 102.7 | 104.2 | 133.6 |
| May | 102.1 | 104.2 | 133.0 |
| June | 100.6 | 104.1 | 132.1 |
| July | 101.8 | 104.8 | 132.4 |
| August | 102.8 | 105.1 | 133.5 |
| September | 102.3 | 105.3 | 135.3 |
| October | 103.7 | 104.3 | 136.4 |
| November | 105.5 | 106.0 | 136.3 |
| December | 105.6 | 105.5 | 135.3 |
| 2024 | |||
| January | 106.4 | 105.8 | 135.0 |
| February | 105.6 | 106.3 | 135.6 |
| March | 106.4 | 105.9 | 135.8 |
| April | 105.3 | 107.2 | 136.8 |
| May | 104.5 | 106.5 | 136.8 |
| June | 103.7 | 107.4 | 136.2 |
| July | 105.0 | 107.4 | 138.3 |
| August | 103.6 | 106.3 | 138.1 |
| September | 103.3 | 106.4 | 137.3 |
| October | 106.2 | 106.4 | 136.7 |
| November | 105.4 | 106.3 | 136.2 |
| December | 107.8 | 107.7 | 136.8 |
| 2025 | |||
| January | 108.6 | 107.6 | 139.9 |
| February | 104.1 | 107.0 | 141.1 |
| March | 107.9 | 107.6 | 140.9 |
| April | 104.7 | 106.4 | 138.3 |
| May | 103.8 | 107.1 | 137.1 |
| June | 102.3 | 106.8 | 136.5 |
| July | 104.1 | 107.0 | 137.8 |
| August | 102.6 | 106.6 | 138.0 |
| September | 103.5 | 107.5 | 138.4 |
| October | 106.3 | 107.8 | 139.4 |
| November | 107.0 | 108.2 | 140.2 |
| December | 110.2 | 109.0 | 140.1 |
Appendix B

Description for Figure 1
Figure 1 presents the aggregation structure from the lowest level of aggregation called elementary aggregates at the subsector level up to the total SCSPI. Subsectors included are Air Transportation, Rail Transportation, Water Transportation, Truck Transportation and Couriers and Messengers.

Description for Figure 2
Figure 2 presents the aggregation structure from the lowest level of aggregation called Volume Index at the subsector level up to the total TSI. Included subsectors are Air transportation, Rail Transportation, Natural Gas Pipeline, Oil Pipeline and Truck transportation.
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