Employment by District

Source

Census and Statistics Department (C&SD)

URL: https://www.censtatd.gov.hk/en/web_table.html?id=006
Publication: Quarterly Report of Employment and Vacancies Statistics
By-census: Detailed district-level employment from Population By-census (every 5 years)

Format

~3.8M

Total Employed

Quarterly

Update Frequency

XLSX

Format

Schema / Fields

Field	Type	Example	Description
`DISTRICT`	string	`"Central & Western"`	18 districts
`INDUSTRY`	string	`"Financial Services"`	Industry classification
`EMPLOYMENT`	int	`48,200`	Number of workers
`ESTABLISHMENTS`	int	`3,150`	Number of business establishments
`VACANCIES`	int	`1,200`	Job vacancies
`MEDIAN_WAGE`	int	`22,500`	Monthly median wage (HKD)
`PERIOD`	string	`"2025Q3"`	Reference quarter

Example API Call

# Search CKAN for employment data
curl -s "https://data.gov.hk/en-data/api/3/action/package_search?q=employment+vacancies+statistics" \
  | jq '.result.results[] | {title, resources: [.resources[] | {name, url, format}]}'

Used By

Model	How It’s Used
Gravity Model	Weekday origin mass — office worker population replacing residential headcount for lunch-hour analysis
Geodemographics	Industry mix defines neighbourhood character (finance district vs logistics hub vs retail zone)
Microsimulation	Agent employment status and income determine spending budget and meal frequency
Regression Model	Worker density as independent variable predicting lunch revenue

Notes / Gotchas

Quarterly data covers establishments with 20+ employees only; smaller businesses are in the annual survey
District-level employment data from the by-census (2021) is the most granular but only updates every 5 years
Cross-reference with MTR Ridership for validation: stations with high AM inflow = high worker population
Industry classification follows HSIC Rev 2.0; “Accommodation and food services” includes your competitors’ employees
COVID aftermath: some districts still haven’t recovered to 2019 employment levels (especially tourism-dependent areas)