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exporter_iso3
stringclasses
257 values
exporter_iso3_dynamic
stringclasses
266 values
exporter_name
stringclasses
263 values
importer_iso3
stringclasses
257 values
importer_iso3_dynamic
stringclasses
266 values
importer_name
stringclasses
263 values
broad_sector
stringclasses
4 values
industry_id
uint16
1
170
industry_descr
stringclasses
170 values
year
uint16
1.99k
2.02k
trade
int64
0
4,675B
flag_mirror
uint16
0
407
flag_zero
stringclasses
3 values
AFG
AFG
Afghanistan
ARE
ARE
United Arab Emirates
Agriculture
1
Wheat
1,993
0
0
u
AFG
AFG
Afghanistan
ARE
ARE
United Arab Emirates
Agriculture
1
Wheat
1,999
0
0
u
AFG
AFG
Afghanistan
ARE
ARE
United Arab Emirates
Agriculture
1
Wheat
2,007
0
0
u
AFG
AFG
Afghanistan
ARE
ARE
United Arab Emirates
Agriculture
1
Wheat
2,008
0
0
u
AFG
AFG
Afghanistan
ARE
ARE
United Arab Emirates
Agriculture
1
Wheat
2,009
0
0
u
AFG
AFG
Afghanistan
ARE
ARE
United Arab Emirates
Agriculture
1
Wheat
2,017
0
0
u
AFG
AFG
Afghanistan
ARE
ARE
United Arab Emirates
Agriculture
1
Wheat
2,020
8,000
0
p
AFG
AFG
Afghanistan
BLR
BLR
Belarus
Agriculture
1
Wheat
1,993
0
0
u
AFG
AFG
Afghanistan
BLR
BLR
Belarus
Agriculture
1
Wheat
1,999
9,000
0
p
AFG
AFG
Afghanistan
BLR
BLR
Belarus
Agriculture
1
Wheat
2,007
0
0
u
AFG
AFG
Afghanistan
BLR
BLR
Belarus
Agriculture
1
Wheat
2,008
0
0
u
AFG
AFG
Afghanistan
BLR
BLR
Belarus
Agriculture
1
Wheat
2,009
0
0
u
AFG
AFG
Afghanistan
BLR
BLR
Belarus
Agriculture
1
Wheat
2,017
0
0
u
AFG
AFG
Afghanistan
BLR
BLR
Belarus
Agriculture
1
Wheat
2,020
0
0
u
AFG
AFG
Afghanistan
MAR
MAR
Morocco
Agriculture
1
Wheat
1,993
0
0
u
AFG
AFG
Afghanistan
MAR
MAR
Morocco
Agriculture
1
Wheat
1,999
0
0
u
AFG
AFG
Afghanistan
MAR
MAR
Morocco
Agriculture
1
Wheat
2,007
0
0
u
AFG
AFG
Afghanistan
MAR
MAR
Morocco
Agriculture
1
Wheat
2,008
41,373,000
0
p
AFG
AFG
Afghanistan
MAR
MAR
Morocco
Agriculture
1
Wheat
2,009
18,438,000
0
p
AFG
AFG
Afghanistan
MAR
MAR
Morocco
Agriculture
1
Wheat
2,017
0
0
u
AFG
AFG
Afghanistan
MAR
MAR
Morocco
Agriculture
1
Wheat
2,020
0
0
u
AFG
AFG
Afghanistan
NGA
NGA
Nigeria
Agriculture
1
Wheat
1,993
0
0
u
AFG
AFG
Afghanistan
NGA
NGA
Nigeria
Agriculture
1
Wheat
1,999
0
0
u
AFG
AFG
Afghanistan
NGA
NGA
Nigeria
Agriculture
1
Wheat
2,007
3,306,000
0
p
AFG
AFG
Afghanistan
NGA
NGA
Nigeria
Agriculture
1
Wheat
2,008
1,000
0
p
AFG
AFG
Afghanistan
NGA
NGA
Nigeria
Agriculture
1
Wheat
2,009
0
0
u
AFG
AFG
Afghanistan
NGA
NGA
Nigeria
Agriculture
1
Wheat
2,017
0
0
u
AFG
AFG
Afghanistan
NGA
NGA
Nigeria
Agriculture
1
Wheat
2,020
0
0
u
AFG
AFG
Afghanistan
SVN
SVN
Slovenia
Agriculture
1
Wheat
1,993
18,000
0
p
AFG
AFG
Afghanistan
SVN
SVN
Slovenia
Agriculture
1
Wheat
1,999
0
0
u
AFG
AFG
Afghanistan
SVN
SVN
Slovenia
Agriculture
1
Wheat
2,007
0
0
u
AFG
AFG
Afghanistan
SVN
SVN
Slovenia
Agriculture
1
Wheat
2,008
0
0
u
AFG
AFG
Afghanistan
SVN
SVN
Slovenia
Agriculture
1
Wheat
2,009
0
0
u
AFG
AFG
Afghanistan
SVN
SVN
Slovenia
Agriculture
1
Wheat
2,017
0
0
u
AFG
AFG
Afghanistan
SVN
SVN
Slovenia
Agriculture
1
Wheat
2,020
0
0
u
AFG
AFG
Afghanistan
UZB
UZB
Uzbekistan
Agriculture
1
Wheat
1,993
0
0
u
AFG
AFG
Afghanistan
UZB
UZB
Uzbekistan
Agriculture
1
Wheat
1,999
0
0
u
AFG
AFG
Afghanistan
UZB
UZB
Uzbekistan
Agriculture
1
Wheat
2,007
0
0
u
AFG
AFG
Afghanistan
UZB
UZB
Uzbekistan
Agriculture
1
Wheat
2,008
0
0
u
AFG
AFG
Afghanistan
UZB
UZB
Uzbekistan
Agriculture
1
Wheat
2,009
0
0
u
AFG
AFG
Afghanistan
UZB
UZB
Uzbekistan
Agriculture
1
Wheat
2,017
229,000
0
p
AFG
AFG
Afghanistan
UZB
UZB
Uzbekistan
Agriculture
1
Wheat
2,020
0
0
u
AGO
AGO
Angola
BGR
BGR
Bulgaria
Agriculture
1
Wheat
1,999
0
0
u
AGO
AGO
Angola
BGR
BGR
Bulgaria
Agriculture
1
Wheat
2,010
0
0
u
AGO
AGO
Angola
BGR
BGR
Bulgaria
Agriculture
1
Wheat
2,017
0
0
u
AGO
AGO
Angola
BGR
BGR
Bulgaria
Agriculture
1
Wheat
2,019
0
0
u
AGO
AGO
Angola
BGR
BGR
Bulgaria
Agriculture
1
Wheat
2,020
0
0
u
AGO
AGO
Angola
BGR
BGR
Bulgaria
Agriculture
1
Wheat
2,022
1,000
0
p
AGO
AGO
Angola
BGR
BGR
Bulgaria
Agriculture
1
Wheat
2,023
0
0
r
AGO
AGO
Angola
BRA
BRA
Brazil
Agriculture
1
Wheat
1,999
0
0
u
AGO
AGO
Angola
BRA
BRA
Brazil
Agriculture
1
Wheat
2,010
2,298,000
0
p
AGO
AGO
Angola
BRA
BRA
Brazil
Agriculture
1
Wheat
2,017
0
0
u
AGO
AGO
Angola
BRA
BRA
Brazil
Agriculture
1
Wheat
2,019
0
0
u
AGO
AGO
Angola
BRA
BRA
Brazil
Agriculture
1
Wheat
2,020
0
0
u
AGO
AGO
Angola
BRA
BRA
Brazil
Agriculture
1
Wheat
2,022
0
0
u
AGO
AGO
Angola
BRA
BRA
Brazil
Agriculture
1
Wheat
2,023
0
0
u
AGO
AGO
Angola
COD
COD
Congo, Democratic Republic of the
Agriculture
1
Wheat
1,999
0
0
u
AGO
AGO
Angola
COD
COD
Congo, Democratic Republic of the
Agriculture
1
Wheat
2,010
0
0
u
AGO
AGO
Angola
COD
COD
Congo, Democratic Republic of the
Agriculture
1
Wheat
2,017
1,000
0
p
AGO
AGO
Angola
COD
COD
Congo, Democratic Republic of the
Agriculture
1
Wheat
2,019
0
0
r
AGO
AGO
Angola
COD
COD
Congo, Democratic Republic of the
Agriculture
1
Wheat
2,020
180,000
1
p
AGO
AGO
Angola
COD
COD
Congo, Democratic Republic of the
Agriculture
1
Wheat
2,022
1,000
1
p
AGO
AGO
Angola
COD
COD
Congo, Democratic Republic of the
Agriculture
1
Wheat
2,023
0
0
u
AGO
AGO
Angola
GHA
GHA
Ghana
Agriculture
1
Wheat
1,999
4,908,000
0
p
AGO
AGO
Angola
GHA
GHA
Ghana
Agriculture
1
Wheat
2,010
0
0
u
AGO
AGO
Angola
GHA
GHA
Ghana
Agriculture
1
Wheat
2,017
0
0
u
AGO
AGO
Angola
GHA
GHA
Ghana
Agriculture
1
Wheat
2,019
0
0
u
AGO
AGO
Angola
GHA
GHA
Ghana
Agriculture
1
Wheat
2,020
0
0
u
AGO
AGO
Angola
GHA
GHA
Ghana
Agriculture
1
Wheat
2,022
0
0
u
AGO
AGO
Angola
GHA
GHA
Ghana
Agriculture
1
Wheat
2,023
0
0
u
AGO
AGO
Angola
NAM
NAM
Namibia
Agriculture
1
Wheat
1,999
0
0
r
AGO
AGO
Angola
NAM
NAM
Namibia
Agriculture
1
Wheat
2,010
0
0
u
AGO
AGO
Angola
NAM
NAM
Namibia
Agriculture
1
Wheat
2,017
0
0
u
AGO
AGO
Angola
NAM
NAM
Namibia
Agriculture
1
Wheat
2,019
102,000
1
p
AGO
AGO
Angola
NAM
NAM
Namibia
Agriculture
1
Wheat
2,020
0
0
u
AGO
AGO
Angola
NAM
NAM
Namibia
Agriculture
1
Wheat
2,022
0
0
r
AGO
AGO
Angola
NAM
NAM
Namibia
Agriculture
1
Wheat
2,023
0
0
u
AGO
AGO
Angola
NLD
NLD
Netherlands
Agriculture
1
Wheat
1,999
0
0
u
AGO
AGO
Angola
NLD
NLD
Netherlands
Agriculture
1
Wheat
2,010
0
0
u
AGO
AGO
Angola
NLD
NLD
Netherlands
Agriculture
1
Wheat
2,017
0
0
u
AGO
AGO
Angola
NLD
NLD
Netherlands
Agriculture
1
Wheat
2,019
0
0
u
AGO
AGO
Angola
NLD
NLD
Netherlands
Agriculture
1
Wheat
2,020
0
0
u
AGO
AGO
Angola
NLD
NLD
Netherlands
Agriculture
1
Wheat
2,022
0
0
r
AGO
AGO
Angola
NLD
NLD
Netherlands
Agriculture
1
Wheat
2,023
1,000
0
p
ALB
ALB
Albania
ALB
ALB
Albania
Agriculture
1
Wheat
1,995
65,580,000
0
p
ALB
ALB
Albania
ALB
ALB
Albania
Agriculture
1
Wheat
1,996
90,817,000
0
p
ALB
ALB
Albania
ALB
ALB
Albania
Agriculture
1
Wheat
1,997
91,274,000
0
p
ALB
ALB
Albania
ALB
ALB
Albania
Agriculture
1
Wheat
1,998
78,672,000
0
p
ALB
ALB
Albania
ALB
ALB
Albania
Agriculture
1
Wheat
1,999
55,301,000
0
p
ALB
ALB
Albania
ALB
ALB
Albania
Agriculture
1
Wheat
2,000
66,458,000
0
p
ALB
ALB
Albania
ALB
ALB
Albania
Agriculture
1
Wheat
2,001
47,202,000
0
p
ALB
ALB
Albania
ALB
ALB
Albania
Agriculture
1
Wheat
2,002
53,482,000
0
p
ALB
ALB
Albania
ALB
ALB
Albania
Agriculture
1
Wheat
2,003
54,381,000
0
p
ALB
ALB
Albania
ALB
ALB
Albania
Agriculture
1
Wheat
2,004
63,362,000
0
p
ALB
ALB
Albania
ALB
ALB
Albania
Agriculture
1
Wheat
2,005
60,659,000
0
p
ALB
ALB
Albania
ALB
ALB
Albania
Agriculture
1
Wheat
2,006
57,664,000
0
p
ALB
ALB
Albania
ALB
ALB
Albania
Agriculture
1
Wheat
2,007
77,101,000
0
p
ALB
ALB
Albania
ALB
ALB
Albania
Agriculture
1
Wheat
2,008
142,122,000
0
p
ALB
ALB
Albania
ALB
ALB
Albania
Agriculture
1
Wheat
2,009
91,185,000
0
p
ALB
ALB
Albania
ALB
ALB
Albania
Agriculture
1
Wheat
2,010
82,282,000
0
p
End of preview. Expand in Data Studio

ITPD-E R2025 — compact parquet + lookup tables

A compact, analysis-ready copy of the USITC International Trade and Production Database for Estimation (ITPD-E), release 2025, plus lookup tables that link it to ISO / UN M49 country codes, World Bank income groups and the USITC Dynamic Gravity Dataset. It powers the International Trade Explorer (source).

Files

File Rows Description
ITPD_E_R2025_usd.parquet 87,537,140 One row per exporter × importer × industry × year, 1986–2023 (150 MB, zstd)
web/ITPD_E_R2025_web.parquet 33,468,219 Smaller copy for the website (81 MB) — see below
aggregates/world_region_flows.parquet 166,242 Cross-border trade by year × industry × exporter UN region × importer UN region, with trade-agreement and distance pieces (2.4 MB)
aggregates/world_exporters.parquet 985,102 Cross-border exports by year × industry × exporting country (3.1 MB)
lookups/country.csv 257 Country codes used in ITPD-E: ISO 3166-1 alpha-2/3/numeric, former ISO 3166-3 codes, UN M49 regions, LDC/LLDC/SIDS flags, World Bank region/income/lending (current)
lookups/country_year.csv 8,617 ISO3 + year → ITPD-E/DGD dynamic code and the name used that year
lookups/country_successor.csv 36 Former countries / aggregates → successor states (e.g. SVU → 15 states)
lookups/industry.csv 170 ITPD-E industry id → description, broad sector
lookups/flag_zero.csv 3 Meaning of flag_zero (p / r / u)
lookups/wb_income_group.csv 7,661 World Bank income group by country and GNI year (1987–2023)
lookups/dgd_country_year.csv 8,151 DGD 2.1 country attributes by year (WTO/GATT/EU membership, GDP, population, polity…), 1986–2019
lookups/dgd_pair_year.parquet 1,956,949 DGD 2.1 country-pair attributes by year (distance, contiguity, common language, colonial ties, trade agreements, sanctions), 1986–2019

Main table columns

exporter_iso3, exporter_iso3_dynamic, exporter_name, importer_iso3, importer_iso3_dynamic, importer_name, broad_sector, industry_id, industry_descr, year, trade, flag_mirror, flag_zero.

trade is in whole current US dollars (BIGINT). ITPD-E publishes millions of USD; values were multiplied by 1,000,000 and rounded to the nearest dollar (max change $0.50 per row; 99.5% of rows unchanged).

Web copy (web/ITPD_E_R2025_web.parquet)

The International Trade Explorer downloads this 81 MB file instead of the 150 MB full table. Same 13 columns, but:

  • only rows with positive trade (zero-trade rows dropped: 54.1M rows flagged u/r);
  • trade rounded to the nearest $1,000 (values under $1,000 kept exact, so no positive flow becomes zero);
  • flag_mirror, exporter_name and importer_name are left empty (use lookups/country.csv / country_year.csv for names).

Row counts of positive flows are identical to the full table; the largest difference in any exporter × importer × year total is $14,172. Use the full table for research.

Aggregates (aggregates/)

Small pre-aggregated tables used by the explorer's world view, built from the full table by scripts/build_aggregates.sql: cross-border flows with positive trade, money rounded to the nearest $1,000 (values under $1,000 kept exact). Agreement share = sum(pta_trade_usd) / sum(pta_known_trade_usd); trade-weighted distance = sum(avg_distance_km × distance_known_trade_usd) / sum(distance_known_trade_usd).

Joins

  • Country attributes: exporter_iso3 / importer_iso3 → lookups/country.csv.iso3
  • Income group in the trade year: (iso3, year) → wb_income_group.csv (iso3, gni_year)
  • Gravity, country-year: (exporter_iso3_dynamic, year) → dgd_country_year.csv (dynamic_code, year)
  • Gravity, pair-year: (exporter_iso3_dynamic, importer_iso3_dynamic, year) → dgd_pair_year.parquet (dynamic_code_o, dynamic_code_d, year)

Caveats

  • Domestic flows (exporter = importer) are included: production sold at home. They are complete only through 2021.
  • Coverage: agriculture from 1986, manufacturing and mining & energy from 1988, services from 2000 (source changes in 2004 and 2010).
  • flag_mirror ranges 0–407 although documented as 0/1; > 0 means mirror data was used.
  • 11 country codes are not current ISO codes (7 former ISO 3166-3 codes; SVU, BLX, ETF, FRE are ITPD-E-specific).

Sources

Please cite the original sources when using this data.

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