Restaurant Receipts & Purchases (censtatd)
Source
Section titled “Source”Census and Statistics Department (censtatd)
- Department URL: https://www.censtatd.gov.hk/en/
- Survey: Annual Survey of Wholesale, Retail and Import/Export Trades, Restaurants and Hotels
- Table: Restaurant Receipts, Purchases and Related Statistics
- URL: https://www.censtatd.gov.hk/en/EIndexbySubject.html?pcode=B1040004
Format
Section titled “Format”XLSX Annual. Published with ~12 month lag. Free download.
HKD 94B
Total Receipts (2022)
~17,000
Establishments
Annual
Frequency
Schema / Fields
Section titled “Schema / Fields”| Field | Type | Example | Description |
|---|---|---|---|
YEAR | integer | 2022 | Reference year |
TYPE | string | Chinese Restaurant | Restaurant category |
NUM_ESTABLISHMENTS | integer | 4,210 | Count of establishments |
TOTAL_RECEIPTS_HKD_M | float | 28,450 | Total receipts (HKD million) |
FOOD_RECEIPTS_HKD_M | float | 24,890 | Food & beverage receipts |
PURCHASES_HKD_M | float | 8,960 | Total purchases (COGS) |
GROSS_MARGIN_PCT | float | 64.0 | Gross margin percentage |
PERSONS_ENGAGED | integer | 48,200 | Total employment |
RECEIPTS_PER_EST_HKD_M | float | 6.75 | Average revenue per establishment |
Fields verified via censtatd Annual Survey of Restaurants documentation.
Example API Call
Section titled “Example API Call”# Direct censtatd download pagecurl -L "https://www.censtatd.gov.hk/en/EIndexbySubject.html?pcode=B1040004"
# CKAN searchcurl "https://data.gov.hk/en-data/api/3/action/package_search?q=restaurant+receipts+statistics"Example Response
Section titled “Example Response”TYPE | ESTABLISHMENTS | RECEIPTS (HKD M) | PER ESTAB | GROSS MARGINChinese Restaurant | 4,210 | 28,450 | 6.75M | 64%Fast Food | 2,840 | 18,230 | 6.42M | 71%Non-Chinese Rest. | 1,920 | 15,680 | 8.17M | 62%Canteen/Catering | 1,130 | 12,440 | 11.01M | 58%Light Refreshment | 3,280 | 9,870 | 3.01M | 69%Used By
Section titled “Used By”| Model | How |
|---|---|
| Regression Model | Revenue benchmarks: calibrates Y (turnover) against sector averages; validates model output |
Notes / Gotchas
Section titled “Notes / Gotchas”- Data is HK-wide aggregate, not by district — apply local uplift factors for premium areas like C&W
- Annual lag means 2024 analysis uses 2022 data — adjust for CPI inflation
- “Receipts” = gross revenue including tips and service charge; “Purchases” ≈ COGS including food, beverages, packaging