# Seed registry — Wikidata harvest

Generated by `scripts/seed_wikidata.py` on 2026-09-13T07:17:29+00:00. **32368 companies**, 13209 public (40.8 %), 12781 with a stock exchange, 10969 with a ticker, 4364 with an employee count, 5294 without an industry mapping (16.4 %), 206 countries.

Files: one NDJSON per UN region (`wikidata-<region>.ndjson`), one JSON object per line — see `docs/SEEDS.md` for the schema, the diversification rules and how to add companies. `scripts/seed_edgar.py` rewrites the files in place with SEC data; run it after every `assemble`.

## Tiers

| Tier | Companies |
|---|---|
| 1 (global) | 324 |
| 2 (major) | 2159 |
| 3 (notable) | 8633 |
| 4 (long tail) | 21252 |

## Regions

| Region | Companies |
|---|---|
| Europe | 11795 |
| Asia | 10334 |
| Americas | 8032 |
| other | 990 |
| Africa | 641 |
| Oceania | 576 |

## Countries

| Code | Country | Companies | Share |
|---|---|---|---|
| US | United States | 6285 | 19.4 % |
| JP | Japan | 3382 | 10.4 % |
| DE | Germany | 2310 | 7.1 % |
| GB | United Kingdom | 1548 | 4.8 % |
| CN | China | 1374 | 4.2 % |
| ?? | unknown | 990 | 3.1 % |
| MY | Malaysia | 869 | 2.7 % |
| KR | South Korea | 846 | 2.6 % |
| IT | Italy | 844 | 2.6 % |
| RU | Russia | 751 | 2.3 % |
| ID | Indonesia | 731 | 2.3 % |
| CA | Canada | 723 | 2.2 % |
| IL | Israel | 696 | 2.2 % |
| ES | Spain | 551 | 1.7 % |
| CH | Switzerland | 545 | 1.7 % |
| FR | France | 533 | 1.6 % |
| SE | Sweden | 495 | 1.5 % |
| AU | Australia | 473 | 1.5 % |
| NL | Netherlands | 441 | 1.4 % |
| IN | India | 436 | 1.3 % |
| PL | Poland | 423 | 1.3 % |
| NO | Norway | 391 | 1.2 % |
| BR | Brazil | 388 | 1.2 % |
| TW | Taiwan | 326 | 1.0 % |
| FI | Finland | 300 | 0.9 % |
| AT | Austria | 284 | 0.9 % |
| DK | Denmark | 283 | 0.9 % |
| BE | Belgium | 280 | 0.9 % |
| UA | Ukraine | 252 | 0.8 % |
| CZ | Czechia | 208 | 0.6 % |
| TR | Türkiye | 185 | 0.6 % |
| SA | Saudi Arabia | 181 | 0.6 % |
| TH | Thailand | 130 | 0.4 % |
| NP | Nepal | 127 | 0.4 % |
| MX | Mexico | 126 | 0.4 % |
| IR | Iran | 113 | 0.3 % |
| RO | Romania | 111 | 0.3 % |
| BY | Belarus | 111 | 0.3 % |
| AR | Argentina | 111 | 0.3 % |
| ZA | South Africa | 108 | 0.3 % |
| PT | Portugal | 104 | 0.3 % |
| IE | Ireland | 94 | 0.3 % |
| CL | Chile | 92 | 0.3 % |
| GR | Greece | 89 | 0.3 % |
| PH | Philippines | 84 | 0.3 % |
| NZ | New Zealand | 81 | 0.3 % |
| SG | Singapore | 78 | 0.2 % |
| EE | Estonia | 78 | 0.2 % |
| AE | United Arab Emirates | 77 | 0.2 % |
| HK | Hong Kong | 77 | 0.2 % |
| HR | Croatia | 72 | 0.2 % |
| HU | Hungary | 72 | 0.2 % |
| LT | Lithuania | 69 | 0.2 % |
| NG | Nigeria | 67 | 0.2 % |
| LV | Latvia | 65 | 0.2 % |
| PK | Pakistan | 62 | 0.2 % |
| EG | Egypt | 61 | 0.2 % |
| LU | Luxembourg | 59 | 0.2 % |
| RS | Serbia | 59 | 0.2 % |
| SK | Slovakia | 57 | 0.2 % |
| CO | Colombia | 53 | 0.2 % |
| SI | Slovenia | 48 | 0.1 % |
| VN | Vietnam | 47 | 0.1 % |
| KZ | Kazakhstan | 45 | 0.1 % |
| BG | Bulgaria | 45 | 0.1 % |
| MA | Morocco | 45 | 0.1 % |
| VE | Venezuela | 45 | 0.1 % |
| AZ | Azerbaijan | 44 | 0.1 % |
| LK | Sri Lanka | 43 | 0.1 % |
| IS | Iceland | 38 | 0.1 % |
| TN | Tunisia | 36 | 0.1 % |
| BD | Bangladesh | 35 | 0.1 % |
| UZ | Uzbekistan | 34 | 0.1 % |
| AM | Armenia | 33 | 0.1 % |
| PE | Peru | 31 | 0.1 % |
| DZ | Algeria | 29 | 0.1 % |
| MD | Moldova | 27 | 0.1 % |
| MT | Malta | 26 | 0.1 % |
| KE | Kenya | 25 | 0.1 % |
| BM | Bermuda | 24 | 0.1 % |
| AL | Albania | 23 | 0.1 % |
| CY | Cyprus | 22 | 0.1 % |
| QA | Qatar | 22 | 0.1 % |
| GE | Georgia | 20 | 0.1 % |
| JO | Jordan | 20 | 0.1 % |
| GH | Ghana | 20 | 0.1 % |
| BA | Bosnia and Herzegovina | 20 | 0.1 % |
| SY | Syria | 19 | 0.1 % |
| KW | Kuwait | 19 | 0.1 % |
| LY | Libya | 17 | 0.1 % |
| BO | Bolivia | 16 | 0.0 % |
| BH | Bahrain | 16 | 0.0 % |
| CD | DR Congo | 16 | 0.0 % |
| UG | Uganda | 16 | 0.0 % |
| AO | Angola | 15 | 0.0 % |
| UY | Uruguay | 15 | 0.0 % |
| MN | Mongolia | 15 | 0.0 % |
| ME | Montenegro | 14 | 0.0 % |
| TZ | Tanzania | 14 | 0.0 % |
| DO | Dominican Republic | 14 | 0.0 % |
| IQ | Iraq | 13 | 0.0 % |
| SD | Sudan | 13 | 0.0 % |
| CM | Cameroon | 13 | 0.0 % |
| KY | Cayman Islands | 12 | 0.0 % |
| LB | Lebanon | 12 | 0.0 % |
| NA | Namibia | 12 | 0.0 % |
| KH | Cambodia | 12 | 0.0 % |
| FO | Faroe Islands | 11 | 0.0 % |
| GL | Greenland | 11 | 0.0 % |
| MM | Myanmar | 11 | 0.0 % |
| OM | Oman | 10 | 0.0 % |
| AF | Afghanistan | 10 | 0.0 % |
| JE | Jersey | 8 | 0.0 % |
| LI | Liechtenstein | 8 | 0.0 % |
| MK | North Macedonia | 8 | 0.0 % |
| CV | Cabo Verde | 8 | 0.0 % |
| PS | Palestine | 8 | 0.0 % |
| GA | Gabon | 8 | 0.0 % |
| TM | Turkmenistan | 7 | 0.0 % |
| XK | Kosovo | 7 | 0.0 % |
| RW | Rwanda | 7 | 0.0 % |
| TJ | Tajikistan | 7 | 0.0 % |
| BW | Botswana | 7 | 0.0 % |
| NE | Niger | 7 | 0.0 % |
| CR | Costa Rica | 7 | 0.0 % |
| KP | North Korea | 6 | 0.0 % |
| ET | Ethiopia | 6 | 0.0 % |
| JM | Jamaica | 6 | 0.0 % |
| CU | Cuba | 6 | 0.0 % |
| MZ | Mozambique | 6 | 0.0 % |
| GG | Guernsey | 6 | 0.0 % |
| SR | Suriname | 6 | 0.0 % |
| SO | Somalia | 6 | 0.0 % |
| MV | Maldives | 6 | 0.0 % |
| HT | Haiti | 6 | 0.0 % |
| MC | Monaco | 6 | 0.0 % |
| EC | Ecuador | 6 | 0.0 % |
| SM | San Marino | 6 | 0.0 % |
| CW | Curaçao | 5 | 0.0 % |
| ZW | Zimbabwe | 5 | 0.0 % |
| TT | Trinidad and Tobago | 5 | 0.0 % |
| BS | Bahamas | 5 | 0.0 % |
| ZM | Zambia | 5 | 0.0 % |
| GQ | Equatorial Guinea | 5 | 0.0 % |
| ML | Mali | 5 | 0.0 % |
| HN | Honduras | 5 | 0.0 % |
| IM | Isle of Man | 4 | 0.0 % |
| PA | Panama | 4 | 0.0 % |
| SC | Seychelles | 4 | 0.0 % |
| VA | Vatican City | 4 | 0.0 % |
| MU | Mauritius | 4 | 0.0 % |
| BN | Brunei | 4 | 0.0 % |
| FJ | Fiji | 4 | 0.0 % |
| MG | Madagascar | 4 | 0.0 % |
| LA | Laos | 4 | 0.0 % |
| BT | Bhutan | 4 | 0.0 % |
| AD | Andorra | 4 | 0.0 % |
| CI | Côte d'Ivoire | 4 | 0.0 % |
| MR | Mauritania | 4 | 0.0 % |
| CG | Republic of the Congo | 4 | 0.0 % |
| KG | Kyrgyzstan | 4 | 0.0 % |
| SN | Senegal | 4 | 0.0 % |
| GT | Guatemala | 4 | 0.0 % |
| TL | Timor-Leste | 4 | 0.0 % |
| BJ | Benin | 4 | 0.0 % |
| GI | Gibraltar | 3 | 0.0 % |
| TG | Togo | 3 | 0.0 % |
| PG | Papua New Guinea | 3 | 0.0 % |
| YE | Yemen | 3 | 0.0 % |
| DJ | Djibouti | 3 | 0.0 % |
| MH | Marshall Islands | 3 | 0.0 % |
| WS | Samoa | 3 | 0.0 % |
| BZ | Belize | 3 | 0.0 % |
| MW | Malawi | 3 | 0.0 % |
| AW | Aruba | 3 | 0.0 % |
| ER | Eritrea | 2 | 0.0 % |
| KI | Kiribati | 2 | 0.0 % |
| ST | Sao Tome and Principe | 2 | 0.0 % |
| KM | Comoros | 2 | 0.0 % |
| TO | Tonga | 2 | 0.0 % |
| NI | Nicaragua | 2 | 0.0 % |
| SZ | Eswatini | 2 | 0.0 % |
| BI | Burundi | 2 | 0.0 % |
| VC | Saint Vincent and the Grenadines | 2 | 0.0 % |
| PR | Puerto Rico | 2 | 0.0 % |
| PY | Paraguay | 2 | 0.0 % |
| GM | Gambia | 2 | 0.0 % |
| AG | Antigua and Barbuda | 1 | 0.0 % |
| NR | Nauru | 1 | 0.0 % |
| BF | Burkina Faso | 1 | 0.0 % |
| MO | Macao | 1 | 0.0 % |
| VU | Vanuatu | 1 | 0.0 % |
| CK | Cook Islands | 1 | 0.0 % |
| SB | Solomon Islands | 1 | 0.0 % |
| SX | Sint Maarten | 1 | 0.0 % |
| TC | Turks and Caicos Islands | 1 | 0.0 % |
| PW | Palau | 1 | 0.0 % |
| CF | Central African Republic | 1 | 0.0 % |
| GY | Guyana | 1 | 0.0 % |
| FK | Falkland Islands | 1 | 0.0 % |
| BB | Barbados | 1 | 0.0 % |
| SL | Sierra Leone | 1 | 0.0 % |
| SH | Saint Helena | 1 | 0.0 % |
| GN | Guinea | 1 | 0.0 % |
| GW | Guinea-Bissau | 1 | 0.0 % |
| SV | El Salvador | 1 | 0.0 % |

## Stock exchanges (primary listing kept per company)

| Exchange | Companies |
|---|---|
| Tokyo Stock Exchange | 1956 |
| Nasdaq | 1569 |
| New York Stock Exchange | 1562 |
| Bursa Malaysia | 780 |
| Indonesia Stock Exchange | 630 |
| Hong Kong Stock Exchange | 620 |
| Tel Aviv Stock Exchange | 532 |
| London Stock Exchange | 477 |
| Korea Exchange (Stock Market) | 368 |
| Australian Securities Exchange | 294 |
| Toronto Stock Exchange | 288 |
| Shenzhen Stock Exchange | 276 |
| Shanghai Stock Exchange | 275 |
| Warsaw Stock Exchange | 234 |
| OTC Markets Group | 222 |
| São Paulo Stock Exchange | 220 |
| National Stock Exchange of India | 162 |
| Saudi Stock Exchange | 152 |
| Korean Stock Exchange | 141 |
| Oslo Stock Exchange | 126 |
| Moscow Exchange | 117 |
| Taiwan Stock Exchange | 115 |
| Nepal Stock Exchange | 105 |
| Frankfurt Stock Exchange | 103 |
| Euronext Paris | 98 |
| Nasdaq Copenhagen A/S | 84 |
| Stock Exchange of Thailand | 80 |
| Nasdaq Helsinki Ltd | 72 |
| Nasdaq Stockholm AB | 61 |
| Italian Stock Exchange | 49 |
| Tehran Stock Exchange | 48 |
| KOSDAQ | 47 |
| Madrid Stock Exchange | 40 |
| BME Scaleup | 40 |
| Swiss Stock Exchange | 36 |
| Santiago Stock Exchange | 32 |
| Colombo Stock Exchange | 28 |
| Tokyo Stock Exchange-Tokyo Pro Market | 28 |
| Euronext Brussels | 27 |
| Zagreb Stock Exchange | 26 |

## Top-level industries (a company counts once per top-level sector)

| Industry | Companies |
|---|---|
| Media | 4707 |
| Consumer Goods | 3164 |
| Financial Services | 3081 |
| Transportation | 2957 |
| Technology | 2409 |
| Manufacturing | 2114 |
| Retail | 1539 |
| Energy | 1321 |
| Automotive | 1111 |
| Healthcare | 987 |
| Aerospace & Defense | 826 |
| Telecommunications | 792 |
| Mining & Metals | 765 |
| Construction | 664 |
| Professional Services | 533 |
| Real Estate | 432 |
| Chemicals | 413 |
| Hospitality | 308 |
| Materials | 263 |
| Agriculture | 262 |
| Utilities | 251 |
| Travel & Tourism | 210 |
| Education | 173 |

## All industries

| Slug | Companies |
|---|---|
| food-beverage | 1971 |
| media | 1943 |
| entertainment | 1885 |
| manufacturing | 1722 |
| financial-services | 1672 |
| retail | 1539 |
| transportation | 1255 |
| airlines | 1232 |
| technology | 1198 |
| automotive | 1111 |
| gaming | 1017 |
| banking | 826 |
| telecommunications | 792 |
| mining | 765 |
| consumer-goods | 758 |
| construction | 664 |
| energy | 647 |
| oil-gas | 610 |
| aerospace-defense | 575 |
| software | 561 |
| apparel | 542 |
| asset-management | 536 |
| pharmaceuticals | 445 |
| real-estate | 432 |
| professional-services | 430 |
| chemicals | 413 |
| industrial-machinery | 388 |
| insurance | 387 |
| logistics | 372 |
| hospitality | 308 |
| healthcare | 307 |
| internet | 302 |
| defense | 297 |
| materials | 263 |
| agriculture | 262 |
| utilities | 251 |
| travel | 210 |
| biotechnology | 208 |
| shipping | 200 |
| education | 173 |
| semiconductors | 161 |
| e-commerce | 153 |
| renewables | 114 |
| consulting | 109 |
| fintech | 84 |
| cloud-infrastructure | 75 |
| medical-devices | 74 |
| cybersecurity | 73 |
| artificial-intelligence | 59 |
| robotics | 43 |
| payments | 37 |

## Harvest report — 2026-09-13

* Pipeline: `scripts/seed_wikidata.py all --target N` (candidates → dissolved → select → details → assemble), then `scripts/seed_edgar.py`, then `catlas seed`. Every SPARQL result is cached under `data/seed/wikidata/sparql/`; per-stage counters in `data/seed/harvest-stats.json`.
* Candidates: **51,286** unique items with a website from 44 P31 classes × sitelink bands (≥ 3), 250 stock exchanges scanned in 13 P414 queries (13,541 currently listed), employees ≥ 500 / revenue bands per class, plus country and industry boosts. First seen per band: class 39,684, listed 7,664, revenue 1,748, employees 1,723, industry-boost 354, country-boost 103, ticker 10.
* Dissolved check (P576 / P582, 171 queries of 300 QIDs): 3,580 of 51,286 candidates excluded.
* Prefilter: 89 generic / invalid websites dropped, 1,639 duplicate registrable domains (highest sitelinks kept), 45,978 kept (12,935 listed).
* Selection (target 33,000; caps US ≤ 35%, other countries ≤ 12%, unknown country ≤ 3%, narrow classes 2–5 %): country minimums 2,160, then 11,964 listed companies, then 18,876 by sitelinks ≥ 3; 12,791 listed companies selected in total.
* Non-company exclusion: **652 items removed** — 515 for a non-company P31 class (museums, libraries, universities / schools, government agencies, NGOs / charities / foundations / nonprofits, religious organisations, political parties, trade unions, hospitals, sports clubs, YouTube channels; top: nonprofit organization 170, government agency 40, university 30, museum 27, learned society 20, public university 20, non-governmental organization 19, charitable organization 18, association football club 15, educational institution 14, hospital 13, library 11) and 137 for a description matching museum / university / school / ministry / agency / charity / foundation / association / club / church / channel with no ticker, exchange, employee count or revenue. Items with a current listing or a ticker are always kept (listed football clubs). List: `data/seed/dropped.json`.
* Assemble: 33,000 selected companies with details + 0 from the industry top-up (every top-level industry ≥ 60); 0 subsidiaries sharing their parent's domain and 0 duplicate domains dropped; 1,458 `related_domain_conflict` notes → **32,368 companies**.
* Tiers by importance quantile (1% / 6.67% / 26.67%): tier 1 = ranks 1–324, tier 2 → 2,483, tier 3 → 11,116, tier 4 = rest.
* Country minimums: all met (JP 3382, DE 2310, GB 1548, CN 1374, KR 846, IT 844, ID 731, CA 723 …).
* EDGAR (2026-09-13): 920 companies newly matched to a CIK (ticker, then exact normalised name), 2,543 already had one → 3,463 of 32,368 with a SEC CIK; 1,319 rows enriched, 202 industries from SIC (5,092 still without an industry mapping), 816 submissions JSON read.