| --- |
| pretty_name: ITPD-E R2025 (whole US dollars) with country, industry and gravity lookups |
| tags: |
| - economics |
| - international-trade |
| - gravity-model |
| size_categories: |
| - 10M<n<100M |
| configs: |
| - config_name: trade |
| data_files: ITPD_E_R2025_usd.parquet |
| - config_name: web |
| data_files: web/ITPD_E_R2025_web.parquet |
| --- |
| |
| # 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](https://tradeexplorer.org) |
| ([source](https://github.com/mrtimo/itpde)). |
|
|
| ## 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](https://tradeexplorer.org) 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`](https://github.com/mrtimo/itpde/blob/main/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 |
|
|
| - USITC ITPD-E R2025 — https://www.usitc.gov/data/gravity/itpde.htm |
| - USITC Dynamic Gravity Dataset 2.1 — https://www.usitc.gov/data/gravity/dgd.htm |
| - World Bank country classifications (OGHIST, CLASS) — https://datahelpdesk.worldbank.org/knowledgebase/articles/906519 |
| - ISO 3166 / UN M49 codes via https://github.com/datasets/country-codes; ISO 3166-3 former codes compiled from Wikipedia |
|
|
| Please cite the original sources when using this data. |
|
|
