Prices Analytical Series
Transportation and Supply Chain Indices

Release date: March 20, 2026

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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: 

TS I t =TS I t1 i V I i t w i t  for t1 MathType@MTEF@5@5@+= feaahOart1ev3aaatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr 4rNCHbGeaGqiVu0Je9sqqrpepC0xbbL8F4rqqrFfpeea0xe9Lq=Jc9 vqaqpepm0xbba9pwe9Q8fs0=yqaqpepae9pg0FirpepeKkFr0xfr=x fr=xb9adbaqaaeGaciGaaiaabeqaamaabaabaaGcbaGaamivaiaado facaWGjbWaaWbaaeqabaGaamiDaaaacqGH9aqpcaWGubGaam4uaiaa dMeadaqhaaqaaiaadMgaaeaacaWG0bGaeyOeI0IaaGymaaaadaaeqa qaamaadmaabaWaaeWaaeaacaWGwbGaamysamaaDaaabaGaamyAaaqa aiaadshaaaaacaGLOaGaayzkaaGaam4DamaaDaaabaGaamyAaaqaai aadshaaaaacaGLBbGaayzxaaaabaGaamyAaaqabiabggHiLdGaaeii aiaabAgacaqGVbGaaeOCaiaabccacaWG0bGaeyyzImRaaGymaaaa@5544@

TS I t MathType@MTEF@5@5@+= feaahOart1ev3aaatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr 4rNCHbGeaGqiVu0Je9sqqrpepC0xbbL8F4rqqrFfpeea0xe9Lq=Jc9 vqaqpepm0xbba9pwe9Q8fs0=yqaqpepae9pg0FirpepeKkFr0xfr=x fr=xb9adbaqaaeGaciGaaiaabeqaamaabaabaaGcbaGaamivaiaado facaWGjbWaaWbaaeqabaGaamiDaaaaaaa@3993@ : The total monthly TSI at time t 

w i t MathType@MTEF@5@5@+= feaahOart1ev3aaatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr 4rNCHbGeaGqiVu0Je9sqqrpepC0xbbL8F4rqqrFfpeea0xe9Lq=Jc9 vqaqpepm0xbba9pwe9Q8fs0=yqaqpepae9pg0FirpepeKkFr0xfr=x fr=xb9adbaqaaeGaciGaaiaabeqaamaabaabaaGcbaGaam4DamaaDa aabaGaamyAaaqaaiaadshaaaaaaa@38FE@ : Weight of transportation mode i in period t 

V I i t MathType@MTEF@5@5@+= feaahOart1ev3aaatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr 4rNCHbGeaGqiVu0Je9sqqrpepC0xbbL8F4rqqrFfpeea0xe9Lq=Jc9 vqaqpepm0xbba9pwe9Q8fs0=yqaqpepae9pg0FirpepeKkFr0xfr=x fr=xb9adbaqaaeGaciGaaiaabeqaamaabaabaaGcbaGaamOvaiaadM eadaqhaaqaaiaadMgaaeaacaWG0baaaaaa@39AB@ : 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:

Table 1
Classification  Table summary
The information is grouped by (NAICS 2022) (appearing as row headers), Weights, calculated using percent units of measure (appearing as column headers).
(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.

Chart 1 Comparing TSI (Jan 2018=100) Index values vs Month-over-Month Change

Data table for Chart 1
Data table for chart 1
Table summary
This table displays the results of Data table for chart 1 , calculated using (appearing as column headers).
  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.

Chart 2 Comparing TSI Total Unadjusted vs Seasonal Adjusted

Data table for Chart 2
Data table for chart 2
Table summary
This table displays the results of Data table for chart 2 , calculated using (appearing as column headers).
  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: 

SCSP I t =SCSP I t1 i E A i t w i t MathType@MTEF@5@5@+= feaahOart1ev3aaatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr 4rNCHbGeaGqiVu0Je9sqqrpepC0xbbL8F4rqqrFfpeea0xe9Lq=Jc9 vqaqpepm0xbba9pwe9Q8fs0=yqaqpepae9pg0FirpepeKkFr0xfr=x fr=xb9adbaqaaeGaciGaaiaabeqaamaabaabaaGcbaGaam4uaiaado eacaWGtbGaamiuaiaadMeadaahaaqabeaacaWG0baaaiabg2da9iaa dofacaWGdbGaam4uaiaadcfacaWGjbWaaWbaaeqabaGaamiDaiabgk HiTiaaigdaaaWaaabeaeaadaqadaqaaiaadweacaWGbbWaa0baaeaa caWGPbaabaGaamiDaaaaaiaawIcacaGLPaaaaeaacaWGPbaabeGaey yeIuoacaWG3bWaa0baaeaacaWGPbaabaGaamiDaaaaaaa@4DF3@

SCSP I t MathType@MTEF@5@5@+= feaahOart1ev3aaatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr 4rNCHbGeaGqiVu0Je9sqqrpepC0xbbL8F4rqqrFfpeea0xe9Lq=Jc9 vqaqpepm0xbba9pwe9Q8fs0=yqaqpepae9pg0FirpepeKkFr0xfr=x fr=xb9adbaqaaeGaciGaaiaabeqaamaabaabaaGcbaGaam4uaiaado eacaWGtbGaamiuaiaadMeadaahaaqabeaacaWG0baaaaaa@3B2F@ : The total monthly SCSPI at time t 

E A i t MathType@MTEF@5@5@+= feaahOart1ev3aaatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr 4rNCHbGeaGqiVu0Je9sqqrpepC0xbbL8F4rqqrFfpeea0xe9Lq=Jc9 vqaqpepm0xbba9pwe9Q8fs0=yqaqpepae9pg0FirpepeKkFr0xfr=x fr=xb9adbaqaaeGaciGaaiaabeqaamaabaabaaGcbaGaamyraiaadg eadaqhaaqaaiaadMgaaeaacaWG0baaaaaa@3992@ : The elementary aggregate for subsector i at time t

w i t MathType@MTEF@5@5@+= feaahOart1ev3aaatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr 4rNCHbGeaGqiVu0Je9sqqrpepC0xbbL8F4rqqrFfpeea0xe9Lq=Jc9 vqaqpepm0xbba9pwe9Q8fs0=yqaqpepae9pg0FirpepeKkFr0xfr=x fr=xb9adbaqaaeGaciGaaiaabeqaamaabaabaaGcbaGaam4DamaaDa aabaGaamyAaaqaaiaadshaaaaaaa@38FE@ :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:

Table 2
Mode of Transportation  Table summary
The information is grouped by (NAICS 2022) (appearing as row headers), Weights , calculated using percent units of measure (appearing as column headers).
(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,  w i t MathType@MTEF@5@5@+= feaahOart1ev3aaatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr 4rNCHbGeaGqiVu0Je9sqqrpepC0xbbL8F4rqqrFfpeea0xe9Lq=Jc9 vqaqpepm0xbba9pwe9Q8fs0=yqaqpepae9pg0FirpepeKkFr0xfr=x fr=xb9adbaqaaeGaciGaaiaabeqaamaabaabaaGcbaGaam4DamaaDa aabaGaamyAaaqaaiaadshaaaaaaa@38FE@ , can be obtained by multiplying the initial revenue weights by price relatives, using the following formula:

w i t = E A i t1 w i t1 E A i t1 w i t1 MathType@MTEF@5@5@+= feaahOart1ev3aaatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr 4rNCHbGeaGqiVu0Je9sqqrpepC0xbbL8F4rqqrFfpeea0xe9Lq=Jc9 vqaqpepm0xbba9pwe9Q8fs0=yqaqpepae9pg0FirpepeKkFr0xfr=x fr=xb9adbaqaaeGaciGaaiaabeqaamaabaabaaGcbaGaam4DamaaDa aabaGaamyAaaqaaiaadshaaaGaeyypa0ZaaSaaaeaacaWGfbGaamyq amaaDaaabaGaamyAaaqaaiaadshacqGHsislcaaIXaaaaiaadEhada qhaaqaaiaadMgaaeaacaWG0bGaeyOeI0IaaGymaaaaaeaadaaeabqa amaabmaabaGaamyraiaadgeadaqhaaqaaiaadMgaaeaacaWG0bGaey OeI0IaaGymaaaacaWG3bWaa0baaeaacaWGPbaabaGaamiDaiabgkHi TiaaigdaaaaacaGLOaGaayzkaaaabeqabiabggHiLdaaaaaa@5175@

E A i t MathType@MTEF@5@5@+= feaahOart1ev3aaatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr 4rNCHbGeaGqiVu0Je9sqqrpepC0xbbL8F4rqqrFfpeea0xe9Lq=Jc9 vqaqpepm0xbba9pwe9Q8fs0=yqaqpepae9pg0FirpepeKkFr0xfr=x fr=xb9adbaqaaeGaciGaaiaabeqaamaabaabaaGcbaGaamyraiaadg eadaqhaaqaaiaadMgaaeaacaWG0baaaaaa@3992@ : The elementary aggregate for subsector i at time t

w i t MathType@MTEF@5@5@+= feaahOart1ev3aaatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr 4rNCHbGeaGqiVu0Je9sqqrpepC0xbbL8F4rqqrFfpeea0xe9Lq=Jc9 vqaqpepm0xbba9pwe9Q8fs0=yqaqpepae9pg0FirpepeKkFr0xfr=x fr=xb9adbaqaaeGaciGaaiaabeqaamaabaabaaGcbaGaam4DamaaDa aabaGaamyAaaqaaiaadshaaaaaaa@38FE@ : 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).

Chart 3 SCSPI Total and SCSPI month-over-month percentage change

Data table for Chart 3
Data table for chart 3
Table summary
This table displays the results of Data table for chart 3 SCSPI Month-Over-Month, SCSPI Total, SCSPI Month-Over-Month and SCSPI Total, calculated using percentage change, index (Jan 2018=100), percentage change and index (Jan 2018=100) units of measure (appearing as column headers).
  SCSPI Month-Over-Month SCSPI Total
percentage change index (Jan 2018=100)
Note ...

not applicable

Source: Statistics Canad Supply Chain Services Price Index (Appendix A).
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

Table A.1
TSI and SCSPI Data Table Table summary
The information is grouped by Reference Period (appearing as row headers), TSI Unadjusted, TSI Seasonally Adjusted and SCSPI , calculated using (Jan 2018=100), percentage change and (Jan 2018=100) units of measure (appearing as column headers).
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

Figure 1 Aggregation  structure for Supply Chain Services Price Index

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.

Figure 2 Aggregation  structure for Transportation Services Index

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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