Aggregated CFS Matrices for Sweden 2016 and 2021

Aggregated CFS Matrices (Sweden, 2016 & 2021)

Associated publication:
Westin, J. (2025). A novel method for estimating multiregional input–output tables using data at different aggregation levels. Papers in Regional Science, 100111.

Dataset contents
The dataset consists of one Excel file:
CFS_Sweden_NUTS2_MSEK_2016_2021.xlsx

This file contains estimated and aggregated commodity flow survey (CFS) data in monetary terms (MSEK) for Swedish counties (län), covering 2016 and 2021. Each sheet corresponds to a commodity group × year combination.

Structure of the Excel file
Sheets: 22 sheets (11 commodity groups × 2 years).
Sheet naming convention: CFS_[GroupCode]_[Year]
Example: CFS_01_2016, CFS_01_2021

Each sheet contains:
Origin–Destination matrix: County origins in rows, county destinations in columns. Values = commodity flows in MSEK.
Supply vector (S): Row totals by origin (MSEK).
Demand vector (D): Column totals by destination (MSEK).

County names
The following 21 counties are included as origins and destinations:
01 Stockholm
02 Uppsala
03 Södermanland
04 Östergötland
05 Jönköping
06 Kronoberg
07 Kalmar
08 Gotland
09 Blekinge
10 Skåne
11 Halland
12 Västra Götaland
13 Värmland
14 Örebro
15 Västmanland
16 Dalarna
17 Gävleborg
18 Västernorrland
19 Jämtland
20 Västerbotten
21 Norrbotten

Commodity groups
The dataset includes 11 aggregated commodity groups based on NST 2007:
01 Agriculture, forestry & fishing
03 Metal ores & minerals
04 Food, beverages & tobacco
05 Textiles & textile products
06 Wood, paper & pulp
08 Chemical products
09 Earth, stone & construction materials
10 Steel & metals
11 Machinery
12 Transport equipment
13 Other manufacturing

Variables
Within each sheet:
Row labels: Origin county name (1–21).
Column labels: Destination county name (1–21).
Cell values: Flow values in MSEK.
Row totals (S): Supply (MSEK).
Column totals (D): Demand (MSEK).

Notes
The dataset replicates the matrices used in the article and supports replication of the MRIO estimation method.
Please cite both Statistics Sweden (CFS) and the PiRS article when using this dataset.