Offence rates by category, annual (Europe)
Annual police-recorded offence rates by offence category - recorded offences per 100,000 inhabitants - for EU member states, EFTA countries and EU candidate countries. Eurostat dataset crim_off_cat ('Crimes recorded by the police by offence category'), filtered to freq=A, unit=P_HTHAB ('Per hundred thousand inhabitants'). Each row is one (year, country, offence category) over the 25 published ICCS categories (intentional homicide, attempted homicide, serious assault, kidnapping, sexual violence incl. rape and sexual assault, robbery, burglary, theft, drug offences, fraud, corruption, money laundering, cybercrime, environmental offences and others). Method: Eurostat compiles the statistics from police records transmitted by the national statistical institutes under the UNODC International Classification of Crime for Statistical Purposes (ICCS); rates use the resident population as the denominator; category labels are kept verbatim from the API. Non-EU/EFTA/candidate series (the UK sub-national series UKC-L/UKM/UKN, Kosovo) are dropped (same licensing rule as the other Eurostat datasets). Units: offences per 100,000 inhabitants. Caveats: police recording practices differ across countries, so cross-country levels are less comparable than within-country trends; national recording-system changes create series breaks for some countries. Coverage: ~37 geographic units after the geo rule, 2008 to the present, annual. Provenance: Eurostat keyless JSON-stat API, free reuse with attribution (Commission Decision 2011/833/EU) - please cite Eurostat. Primary key: (year, country_code, offence_code). Join keys: country_code (ISO 3166-1 alpha-3), year. Cadence: refreshed yearly; Eurostat updates the crime statistics in spring (2026-04-29 vintage covers 2008-2024). Sample use: filter offence_code='ICCS0101' to compare intentional-homicide rates across countries.
- Source
- Eurostat
- Rows
- 9,797
- Columns
- 6
- Source cadence
- Yearly
- Last refreshed
- Sep 24, 2026
- Theme
- crime
| Column | Type | Description |
|---|---|---|
| year | string | Reference year of the observation (stored as January 1), from the 'time' dimension. |
| country_code | string | Reporting country: ISO 3166-1 alpha-3 (mapped from Eurostat's alpha-2 codes). Also carries the provider aggregates (e.g. 'EU27_2020', 'EA20', 'EA19') verbatim. |
| country_name | string | Canonical English country name (hub.normalize), or the Eurostat-published label for the EU/EA aggregates. |
| offence_code | string | ICCS offence category from the 'iccs' dimension (UNODC International Classification of Crime for Statistical Purposes): ICCS0101 (intentional homicide), ICCS0102 (attempted intentional homicide), ICCS020111 (serious assault), ICCS020221 (kidnapping), ICCS0301 (sexual violence), ICCS03011 (rape), ICCS03012 (sexual assault), ICCS0302 (sexual exploitation), ICCS030221 (child pornography), ICCS0401 (robbery), ICCS0501 (burglary), ICCS0502 (theft), ICCS0601 (drug-related offences), ICCS0701 (fraud), ICCS0703 (corruption), ICCS07041 (money laundering), ICCS0903 (cybercrime), ICCS09051 (organized crime), ICCS1001-1004 (environmental offences), and others. |
| offence_label | string | Eurostat-published ICCS category label, verbatim from the API. |
| offences_per_100k | float | Police-recorded offences in the offence category per 100,000 inhabitants, from the 'unit' indicator P_HTHAB ('Per hundred thousand inhabitants') (dataset crim_off_cat). Rates use the resident population as the denominator. (unit: offences per 100,000 inhabitants) |
First 10 sample rows — a preview, not the complete dataset.
| year | country_code | country_name | offence_code | offence_label | offences_per_100k |
|---|---|---|---|---|---|
| 2008-01-01 | ALB | Albania | ICCS0101 | Intentional homicide | 2.78 |
| 2009-01-01 | ALB | Albania | ICCS0101 | Intentional homicide | 2.57 |
| 2011-01-01 | ALB | Albania | ICCS0101 | Intentional homicide | 4.38 |
| 2014-01-01 | ALB | Albania | ICCS0101 | Intentional homicide | 3.38 |
| 2015-01-01 | ALB | Albania | ICCS0101 | Intentional homicide | 1.86 |
| 2016-01-01 | ALB | Albania | ICCS0101 | Intentional homicide | 2.46 |
| 2017-01-01 | ALB | Albania | ICCS0101 | Intentional homicide | 1.81 |
| 2018-01-01 | ALB | Albania | ICCS0101 | Intentional homicide | 1.78 |
| 2019-01-01 | ALB | Albania | ICCS0101 | Intentional homicide | 2.03 |
| 2020-01-01 | ALB | Albania | ICCS0101 | Intentional homicide | 1.83 |
Profiled Sep 24, 2026 from snapshot 20260924T073813Z-b93b79b602d9
Measured- Completeness
- 100%
- Rows
- 9,797
- Columns
- 6
- Columns with gaps
- 0
| Column | Missing | Distinct | Range | Distribution |
|---|---|---|---|---|
| yearvarchar | 0% | 15 | — |
|
| country_codevarchar | 0% | 38 | — |
|
| country_namevarchar | 0% | 40 | — |
|
| offence_codevarchar | 0% | 30 | — |
|
| offence_labelvarchar | 0% | 26 | — |
|
| offences_per_100kdouble | 0% | 4,619 | 0 → 5,453median 17.11 | 98 outside 1st–99th percentile |
- Current
20260924T073813Z-b93b79b602d9 · sha256 b93b79b602d9…
9,797 rows · first snapshot
Point any LLM at the metadata endpoint — the documentation above is machine-readable too (JSON-LD + Croissant).
curl "https://datazimuts.com/v1/datasets/eurostat/eurostat_crime_offence_rates_annual" | jq '{title, rows, columns_count, license}'import requests
ds = requests.get("https://datazimuts.com/v1/datasets/eurostat/eurostat_crime_offence_rates_annual").json()
print(ds["title"], ds["rows"], "rows")
# Sample rows for an LLM context window
for row in ds.get("sample_rows", [])[:5]:
print(row)API endpoint: https://datazimuts.com/v1/datasets/eurostat/eurostat_crime_offence_rates_annual
Tip: fetch /llms.txt for the full machine-readable catalog.
Where this data comes from and what was made from it. Other people's work shows as counts; only shared projects are named.
Cite this snapshot
Pinned to snapshot 20260924T073813Z-b93b79b602d9 and its content hash, so readers get exactly the data you used.
Eurostat. (2026). Offence rates by category, annual (Europe) [Data set, snapshot 20260924T073813Z-b93b79b602d9, sha256 b93b79b602d9]. Datazimuts. Retrieved 2026-09-24, from https://datazimuts.com/en/datasets/eurostat/eurostat_crime_offence_rates_annual?snapshot=20260924T073813Z-b93b79b602d9
@misc{dz_eurostat_eurostat_crime_offence_rates_an_b93b79b6,
title = {{Offence rates by category, annual (Europe)}},
author = {{Eurostat}},
year = {2026},
publisher = {Datazimuts},
howpublished = {\url{https://datazimuts.com/en/datasets/eurostat/eurostat_crime_offence_rates_annual?snapshot=20260924T073813Z-b93b79b602d9}},
note = {Snapshot 20260924T073813Z-b93b79b602d9, sha256 b93b79b602d9e3fd9fef9b1d42df63ec4d5386a679b990f1ccfe68dfb71688d0; accessed 2026-09-24}
}Embed a table or a chart
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<iframe src="https://datazimuts.com/embed/chart?dataset=eurostat%2Feurostat_crime_offence_rates_annual&lang=en&theme=auto&snapshot=20260924T073813Z-b93b79b602d9&x=year&y=offences_per_100k&agg=avg" title="Offence rates by category, annual (Europe)" width="100%" height="380" style="border:0" loading="lazy"></iframe>
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