Crime by Type & District (HKPF)

Source

Hong Kong Police Force (HKPF)

Department URL: https://www.police.gov.hk/ppp_en/09_statistics/cad.html
Direct CSV: https://www.police.gov.hk/info/doc/crime_details.csv

Format

CSV Annual. Published Q1 following year. No API key.

~30

Crime Categories

Police Districts

Annual

Update Frequency

Schema / Fields

Field	Type	Example	Description
`YEAR`	integer	`2022`	Reference year
`DISTRICT`	string	`"Central"`	Police district
`OFFENCE_CATEGORY`	string	`"Theft"`	Crime category
`OFFENCE_TYPE`	string	`"Pickpocketing"`	Specific offence type
`COUNT`	integer	`284`	Number of reported cases
`CLEARED`	integer	`42`	Cases cleared/solved
`CLEARANCE_RATE_PCT`	float	`14.8`	Clearance rate

Key Offence Categories for Retail Analysis

Category	Retail Relevance
Theft	Shop theft, pickpocketing near premises
Burglary	After-hours break-in risk
Wounding/Serious Assault	Customer safety perception
Disorder in Public Places	Environment quality
Triad-related	Area risk profile

Example API Call

curl -o crime_detail.csv \
  "https://www.police.gov.hk/info/doc/crime_details.csv"

# Filter for Central district
grep "Central" crime_detail.csv

Example Response

YEAR,DISTRICT,OFFENCE_CATEGORY,OFFENCE_TYPE,COUNT,CLEARED
2022,Central,Theft,Pickpocketing,284,42
2022,Central,Theft,Shop Theft,1241,389
2022,Central,Theft,Other Theft,892,167
2022,Central,Burglary,Domestic,48,12
2022,Central,Wounding,Wounding,156,148
2022,Western,Theft,Pickpocketing,84,11

Used By

Model	How
Geodemographics	Crime type distribution as area character indicator — high disorder vs. property crime tells different stories
Risk Assessment	Specific offence profile informs operational security decisions

Notes / Gotchas

Sheung Wan/Western district has relatively low crime rates — a positive signal for evening dining
High shop theft rates reflect retail density, not necessarily dangerous environment for diners
Match police districts to restaurant location using the HKPF District Map before applying rates