HK Listco Group Structure
Two tables about Hong Kong-listed companies: their mainland operating companies and disclosed group trees of subsidiaries, associates and joint ventures by reporting period. Not point-in-time: no disclosure dates are supplied, and the latest year is incomplete.
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Data due diligence
- Point-in-time: no
- Not point-in-time; a restatement replaces the original.
- Personal data: none
- No personal information.
- Web collection: no
- No web collection; sourced from filings or a licensed feed.
- Generative AI: no
- No third-party generative AI is used; processing is proprietary ML/NLP.
The personal-data values are descriptive, not risk grades: no personal information in any dataset is collected from individuals; all of it is drawn from mandatory public company disclosure or already-published news.
Declarations published by ChinaScope. Open the Due diligence tab and sign in to read the full questionnaire.
HK Listco Group Structure
hk_group_structureSource DataTwo tables about Hong Kong-listed companies: their mainland operating companies and disclosed group trees of subsidiaries, associates and joint ventures by reporting period. Not point-in-time: no disclosure dates are supplied, and the latest year is incomplete.
Daily source stitch · data frontier 2026-10-29
9. Field reference
public_domestic_entity
Table · pick one of 2
public_domestic_entity
Hong Kong listing → onshore operating company · row key id · no as-of (see §7)
| field | type | populated | 中文 | notes |
|---|---|---|---|---|
operation | string | 100% | 记录标识 | ChinaScope's change flag on the daily file: A add, U update, D delete. |
id | string | 100% | 自增主键 | Row key. Unique in every delivery. |
stock_code | string | 100% | 证券代码 | NNNNN_HK_EQ; temporary T00NN_HK_EQ before listing; _DL marks a delisted company on a reused code. One malformed as delivered (§5). |
ticker_code | string | 100% | 交易代码 | The five-character Hong Kong trading code, e.g. 00700. |
stock_name | string | 100% | 证券名称 | Short Chinese name, e.g. 三一重工. |
list_date | date | 96.6% | 上市日期 | Empty on temporary codes; one placeholder 1921-01-01. |
stock_type | string | 100% | 证券类型 | 红筹 red chip or H股 H share. |
company_name | string | 100% | 公司名称 | Full name. Dictionary name company. |
company_id | string | 100% | ChinaScope 企业ID | The listed company. Joins to Reference (§4). |
domestic_entity | string | 99.8% | 境内经营主体 | The onshore operating company's name. |
domestic_entity_id | string | 99.8% | 境内经营主体ID | Its ChinaScope id. 678 of 2,230 distinct ids are in Reference (§4). |
deleted | int | 100% | 是否删除 | 0 keep, 1 deleted. All 0 so far. |
create_time | datetime | 100% | 创建时间 | ChinaScope load stamp. ⛔ Not an as-of. |
update_time | datetime | 100% | 更新时间 | ChinaScope last-change stamp. ⛔ Not an as-of. |
Sourced as-delivered from ChinaScope, with resolved codes and structural links computed by Numinor. Licensing passes through to you; fields are served exactly as the vendor issues them.
Access & FAQ
- How do I buy just a few fields?
- Check the fields you want and you'll see your running subtotal. Select every field and the whole-set price applies automatically. Add them to your basket and check out — this dataset, or fields combined across several.
- Can I evaluate these fields in the Matrix before I buy?
- Yes — load the actual source tables in the Matrix and analyze them with an AI agent before you buy. See the Overview tab for this dataset’s Matrix evaluation lag; “None” means no intentional delay.
- How is it delivered?
- Apache Parquet over a signed-URL REST API, the same pipe as Construct Data. The free Matrix sandbox serves an evaluation snapshot. Its delay, if any, is shown in the Overview tab.
- When is each update available, and how reliable is it?
- Source data refreshes on the ChinaScope cadence and is delivered through the same signed-URL pipeline as Construct Data, with the same manifest/status behaviour. Evaluate freshness yourself in the Matrix before you commit.
- Why are some fields free and others cost thousands?
- Price tracks non-replicability. Resolved codes and structural links are the moat; machine scores and raw text are cheap; identifier keys are free. Figures are priced per table; codes are charged once per dataset.
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