City size often tracks recorded crime, but density may not
Key finding: Across 16,240 places in 23 countries, city population and recorded crime per 100,000 are unrelated when pooled (rank correlation −0.02), but the coefficient is positive in 16 of the 18 countries with at least 20 places, from −0.25 in Canada to +0.64 in Lithuania.
Often, but not reliably enough to make “smaller is safer” a rule. Among 16,230 places in 18 country samples, population has a positive Spearman coefficient with recorded crime per 100,000 in sixteen and a negative one in two. The range is -0.25 to +0.64, and the United States shows why size and density differ: +0.28 for population, -0.01 for density.
What we measured
We tested whether more populous places tend to rank higher on a published recorded-crime rate that is already normalised per 100,000 residents. More residents will mechanically produce more offences in total; that is not the question. The analysis asks whether the published rate per resident changes with city population.
The export contains 16,240 city-labelled rows across 23 countries. Eighteen countries, containing 16,230 rows, meet the pre-set floor of at least 20 complete population-and-crime observations. The other five countries contribute only 10 rows and are not given country coefficients. Each row receives equal weight, so this is a place-weighted analysis rather than a population-weighted one.
Population and density are separate variables. Population measures the number of residents inside the source boundary. Density divides population by land area. A geographically large municipality can contain many people without being crowded, while a compact municipality can be dense without having a very large population. Combining both into one idea of “big” would erase the article's main result.
Recorded crime is not all crime and is not an individual safety score. It is what a police force recorded and a public authority published. Reporting, detection, offence definitions and publication practice can affect the rate. The analysis therefore compares place rankings only within a country source context; a German rate and a US rate cannot be used to rank the two countries by safety.
The geographic grain is mixed: 8,549 rows use a city rate, 3,005 use German kreis_nuts3 district rates, 775 use municipality rates, 2,385 use county rates, 1,525 carry regional context and one uses a US police agency service area. Germany is the main limitation. In 3,005 of its 3,059 rows, a city population is paired with a district crime rate that can repeat across several cities; only 54 rows carry city-grain crime. Germany's coefficient therefore describes the exported city-to-district matching, not a clean municipal relationship.
Crime periods are also not uniform. Portugal uses 2022; the United States, Canada, the Netherlands, the United Kingdom and most Spanish rows use 2024; Belgium, Sweden, Denmark and Lithuania use 2025; Germany is mostly 2022 with 54 later city observations. Population observations range from 2020 to 2026. The published crime rate was retained rather than recalculated with a different-year population field. Parent values inherited by subdivisions were excluded before analysis.
What the data shows
The direction is usually positive, but the estimates are too different to support one universal city-size rule. Across the 18 country samples, Spearman runs from -0.25 in Canada to +0.64 in Lithuania. Sixteen signs are positive and two negative, but a sign alone does not show how strong or stable the relationship is.
The strongest positive coefficients are Lithuania at +0.64 across 30 places, the Netherlands at +0.52 across 332, France at +0.50 across 2,246, Belgium at +0.44 across 502 and Norway at +0.44 across 181. Lithuania has the largest coefficient but one of the smallest samples; the Dutch and Belgian patterns carry substantially more observations.
The middle group is weaker. The United States is +0.28 across 4,359 places, the UK +0.19 across 63, Spain +0.21 across 436 and Germany +0.19 across 3,059. Germany's large n should not be read as equivalent to 3,059 independent municipal outcomes because its district rates repeat across city rows.
Canada has the largest negative estimate at -0.25 across 39 places, while Portugal is nearly flat at -0.05 across 271. These observed signs are inconsistent with a universal positive descriptive rule, but they do not establish a dependable negative rule. In an unadjusted Spearman test, eight positive country coefficients are distinguishable from zero at the 5% level; Canada, Portugal and the UK are not. Because the rows are spatially and administratively clustered, that test is a sensitivity check rather than formal national inference.
The pooled coefficient is -0.02 across all 16,240 rows, but it is not an average country effect. It ranks cities again after combining 23 non-equivalent recording systems. The United States supplies 26.8% of the rows, and the United States plus Germany supply 45.7%, so changes in sample composition can move the pooled result without changing any within-country relationship. The country estimates, not the pooled coefficient, answer the question.
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Figure conclusion: Population against the recorded-crime rate, by country. Mostly positive, from near zero to strong; Canada and Portugal run the other way.
| Mark | Group | Value | Unit | Sample/note | Exact detail |
|---|---|---|---|---|---|
| US | US | 0.282 | coefficient | 4,622 cities | US; Group: US; Value: 0.282 coefficient; 4,622 cities |
| DE | DE | 0.173 | coefficient | 3,197 cities | DE; Group: DE; Value: 0.173 coefficient; 3,197 cities |
| IT | IT | 0.151 | coefficient | 2,396 cities | IT; Group: IT; Value: 0.151 coefficient; 2,396 cities |
| FR | FR | 0.492 | coefficient | 2,305 cities | FR; Group: FR; Value: 0.492 coefficient; 2,305 cities |
| JP | JP | 0.353 | coefficient | 1,914 cities | JP; Group: JP; Value: 0.353 coefficient; 1,914 cities |
| UK | UK | 0.171 | coefficient | 1,599 cities | UK; Group: UK; Value: 0.171 coefficient; 1,599 cities |
| ES | ES | 0.014 | coefficient | 1,384 cities | ES; Group: ES; Value: 0.014 coefficient; 1,384 cities |
| RO | RO | 0.043 | coefficient | 721 cities | RO; Group: RO; Value: 0.043 coefficient; 721 cities |
| PL | PL | 0.258 | coefficient | 628 cities | PL; Group: PL; Value: 0.258 coefficient; 628 cities |
| BE | BE | 0.428 | coefficient | 625 cities | BE; Group: BE; Value: 0.428 coefficient; 625 cities |
| CA | CA | -0.038 | coefficient | 496 cities | CA; Group: CA; Value: -0.038 coefficient; 496 cities |
| CH | CH | 0.199 | coefficient | 436 cities | CH; Group: CH; Value: 0.199 coefficient; 436 cities |
| NL | NL | 0.416 | coefficient | 400 cities | NL; Group: NL; Value: 0.416 coefficient; 400 cities |
| PT | PT | -0.071 | coefficient | 335 cities | PT; Group: PT; Value: -0.071 coefficient; 335 cities |
| KR | KR | 0.124 | coefficient | 297 cities | KR; Group: KR; Value: 0.124 coefficient; 297 cities |
| AT | AT | 0.336 | coefficient | 292 cities | AT; Group: AT; Value: 0.336 coefficient; 292 cities |
| CZ | CZ | 0.15 | coefficient | 290 cities | CZ; Group: CZ; Value: 0.15 coefficient; 290 cities |
| HU | HU | -0.288 | coefficient | 277 cities | HU; Group: HU; Value: -0.288 coefficient; 277 cities |
| GR | GR | 0.312 | coefficient | 269 cities | GR; Group: GR; Value: 0.312 coefficient; 269 cities |
| SE | SE | 0.292 | coefficient | 238 cities | SE; Group: SE; Value: 0.292 coefficient; 238 cities |
| NO | NO | 0.436 | coefficient | 181 cities | NO; Group: NO; Value: 0.436 coefficient; 181 cities |
| FI | FI | 0.235 | coefficient | 159 cities | FI; Group: FI; Value: 0.235 coefficient; 159 cities |
| SK | SK | 0.468 | coefficient | 141 cities | SK; Group: SK; Value: 0.468 coefficient; 141 cities |
| DK | DK | 0.408 | coefficient | 122 cities | DK; Group: DK; Value: 0.408 coefficient; 122 cities |
| SI | SI | 0.234 | coefficient | 107 cities | SI; Group: SI; Value: 0.234 coefficient; 107 cities |
| IE | IE | 0.215 | coefficient | 91 cities | IE; Group: IE; Value: 0.215 coefficient; 91 cities |
| NZ | NZ | -0.02 | coefficient | 78 cities | NZ; Group: NZ; Value: -0.02 coefficient; 78 cities |
| EE | EE | 0.101 | coefficient | 70 cities | EE; Group: EE; Value: 0.101 coefficient; 70 cities |
| LT | LT | 0.413 | coefficient | 68 cities | LT; Group: LT; Value: 0.413 coefficient; 68 cities |
| BG | BG | 0.014 | coefficient | 43 cities | BG; Group: BG; Value: 0.014 coefficient; 43 cities |
| LV | LV | 0.284 | coefficient | 34 cities | LV; Group: LV; Value: 0.284 coefficient; 34 cities |
| AU | AU | -0.416 | coefficient | 21 cities | AU; Group: AU; Value: -0.416 coefficient; 21 cities |
| Country | Cities | Size | Density | Median population | Median crime |
|---|---|---|---|---|---|
| US | 4,622 | 0.28 | 0.01 | 15,753 | 1,638 |
| DE | 3,197 | 0.17 | 0.04 | 9,766 | 4,526.8 |
| IT | 2,396 | 0.15 | 0.30 | 10,021 | 3,435.6 |
| FR | 2,305 | 0.49 | 0.42 | 9,019 | 4,761.1 |
| JP | 1,914 | 0.35 | 0.57 | 31,818 | 532.9 |
| UK | 1,599 | 0.17 | 0.24 | 12,250 | 6,704.4 |
| ES | 1,384 | 0.01 | 0.40 | 11,837 | 4,750 |
| RO | 721 | 0.04 | — | 6,779 | 1,597 |
| PL | 628 | 0.26 | 0.19 | 18,840 | 1,664 |
| BE | 625 | 0.43 | 0.32 | 13,668 | 5,274.3 |
| CA | 496 | -0.04 | 0.01 | 14,039 | 4,296.5 |
| CH | 436 | 0.20 | 0.44 | 8,969 | 5,703.3 |
| NL | 400 | 0.42 | 0.56 | 29,381 | 3,070 |
| PT | 335 | -0.07 | -0.18 | 13,098 | 2,750 |
| KR | 297 | 0.12 | 0.16 | 224,202 | 2,990 |
| AT | 292 | 0.34 | 0.29 | 7,653 | 3,706.4 |
| CZ | 290 | 0.15 | — | 10,104 | 1,355.2 |
| HU | 277 | -0.29 | — | 10,046 | 1,743.8 |
| GR | 269 | 0.31 | — | 12,515 | 2,291.5 |
| SE | 238 | 0.29 | 0.15 | 22,422 | 9,957.5 |
| NO | 181 | 0.44 | 0.20 | 13,538 | 4,450 |
| FI | 159 | 0.23 | 0.28 | 12,339 | 8,236.4 |
| SK | 141 | 0.47 | 0.31 | 10,130 | 700 |
| DK | 122 | 0.41 | 0.60 | 39,796 | 5,691.5 |
| SI | 107 | 0.23 | 0.08 | 10,088 | 2,089 |
| IE | 91 | 0.21 | — | 10,302 | 4,566 |
| NZ | 78 | -0.02 | 0.03 | 7,766 | 4,102.4 |
| EE | 70 | 0.10 | 0.32 | 10,887 | 2,030 |
| LT | 68 | 0.41 | 0.51 | 37,083 | 1,404.2 |
| BG | 43 | 0.01 | — | 42,776 | 1,204.1 |
| LV | 34 | 0.28 | 0.07 | 8,533 | 1,488.5 |
| AU | 21 | -0.42 | 0.34 | 22,424 | 9,480.2 |
| Country | Cities | Smallest tenth | Largest tenth | Ratio |
|---|---|---|---|---|
| US | 4,622 | 1,146.6 | 2,538.1 | 2.21 |
| DE | 3,197 | 4,924.7 | 6,411.7 | 1.30 |
| IT | 2,396 | 3,338.3 | 3,658.7 | 1.10 |
| FR | 2,305 | 4,021.3 | 7,177.9 | 1.78 |
| JP | 1,914 | 478.9 | 602.4 | 1.26 |
| UK | 1,599 | 6,273 | 8,314.6 | 1.33 |
| ES | 1,384 | 4,745 | 4,823.7 | 1.02 |
| RO | 721 | 1,690 | 1,650 | 0.98 |
| PL | 628 | 1,559 | 2,427 | 1.56 |
| BE | 625 | 4,513.7 | 8,686.3 | 1.92 |
| CA | 496 | 6,199.9 | 4,542 | 0.73 |
| CH | 436 | 5,560.6 | 8,019.5 | 1.44 |
| NL | 400 | 2,850 | 5,305 | 1.86 |
| PT | 335 | 2,680 | 2,580 | 0.96 |
| KR | 297 | 2,940 | 3,123.8 | 1.06 |
| AT | 292 | 3,407.3 | 6,974 | 2.05 |
| CZ | 290 | 1,278.3 | 1,773 | 1.39 |
| HU | 277 | 1,886 | 532.1 | 0.28 |
| GR | 269 | 1,825.4 | 3,126.2 | 1.71 |
| SE | 238 | 9,371 | 12,732 | 1.36 |
| NO | 181 | 3,710 | 6,210 | 1.67 |
| FI | 159 | 6,986.6 | 9,882.4 | 1.41 |
| SK | 141 | 650 | 1,000 | 1.54 |
| DK | 122 | 5,234.9 | 6,881.9 | 1.31 |
| SI | 107 | 1,920 | 2,339.5 | 1.22 |
| IE | 91 | 4,380.5 | 4,566 | 1.04 |
| NZ | 78 | 6,157.7 | 4,439.7 | 0.72 |
| EE | 70 | 1,800 | 2,030 | 1.13 |
| LT | 68 | 1,373.8 | 1,696.6 | 1.23 |
| BG | 43 | 1,283.4 | 1,375.3 | 1.07 |
| LV | 34 | 1,198 | 2,760 | 2.30 |
| AU | 21 | 11,981.4 | 7,781.1 | 0.65 |
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Figure conclusion: Every paired city: population against offences per 100,000 residents. The rate is already population-normalised, so a slope here is a finding rather than arithmetic.
- Neu-Guntramsdorf; Group: AT; Population: 3231; Offences per 100k: 6605.4
- Abtenau; Group: AT; Population: 6008; Offences per 100k: 3554.3
- Bad Vöslau; Group: AT; Population: 12478; Offences per 100k: 5353.1
- Dornbirn; Group: AT; Population: 52108; Offences per 100k: 6974
- Feldkirchen an der Donau; Group: AT; Population: 5580; Offences per 100k: 2215.1
- Gloggnitz; Group: AT; Population: 5834; Offences per 100k: 3511.6
- Hallein; Group: AT; Population: 21654; Offences per 100k: 3554.3
- Innsbruck; Group: AT; Population: 132499; Offences per 100k: 9565.3
- Krems an der Donau; Group: AT; Population: 25473; Offences per 100k: 9183.4
- Leobersdorf; Group: AT; Population: 5344; Offences per 100k: 5353.1
- Mittersill; Group: AT; Population: 5723; Offences per 100k: 5136.7
- Pasching; Group: AT; Population: 7931; Offences per 100k: 4854.6
- Rankweil; Group: AT; Population: 12157; Offences per 100k: 5351.3
- Seekirchen am Wallersee; Group: AT; Population: 11708; Offences per 100k: 3871.3
- St. Veit an der Glan; Group: AT; Population: 12234; Offences per 100k: 3035.5
- Traun; Group: AT; Population: 25345; Offences per 100k: 4854.6
- Wattens; Group: AT; Population: 8138; Offences per 100k: 3494.8
- Zirl; Group: AT; Population: 8250; Offences per 100k: 3494.8
- Gympie; Group: AU; Population: 22424; Offences per 100k: 10953.511180655
- Veldegem; Group: BE; Population: 5362; Offences per 100k: 3092.870743
- Sijsele; Group: BE; Population: 5599; Offences per 100k: 3129.987586
- Noorderwijk; Group: BE; Population: 5127; Offences per 100k: 6482.535085
- Lichtaart; Group: BE; Population: 6647; Offences per 100k: 3600.646399
- Hornu; Group: BE; Population: 9369; Offences per 100k: 8847.60551
- Gent; Group: BE; Population: 272657; Offences per 100k: 12110
- Denderhoutem; Group: BE; Population: 6125; Offences per 100k: 3868.422401
- Boechout; Group: BE; Population: 14106; Offences per 100k: 6394.4
- Schilde; Group: BE; Population: 20476; Offences per 100k: 4014.5
- Putte; Group: BE; Population: 19203; Offences per 100k: 3702.5
- Meerhout; Group: BE; Population: 10365; Offences per 100k: 3917
- Etterbeek; Group: BE; Population: 49638; Offences per 100k: 8118.8
- Dilbeek; Group: BE; Population: 45111; Offences per 100k: 6410.71349
- Zaventem; Group: BE; Population: 37518; Offences per 100k: 7601.701385
- Diest; Group: BE; Population: 25196; Offences per 100k: 6075.047055
- Tremelo; Group: BE; Population: 15372; Offences per 100k: 3256.145813
- Mont-Saint-Guibert; Group: BE; Population: 8503; Offences per 100k: 4927.7
- Bruges; Group: BE; Population: 120458; Offences per 100k: 8774
- Anzegem; Group: BE; Population: 15294; Offences per 100k: 3066.6
- De Haan; Group: BE; Population: 12682; Offences per 100k: 6434.3
- Nieuport; Group: BE; Population: 11431; Offences per 100k: 8826.9
- Lebbeke; Group: BE; Population: 20380; Offences per 100k: 4180.6
- Zulte; Group: BE; Population: 16260; Offences per 100k: 3966.8
- Saint-Nicolas (Saint-Nicolas); Group: BE; Population: 83400; Offences per 100k: 2076.7
- Courcelles; Group: BE; Population: 31673; Offences per 100k: 8562.5
- Saint-Ghislain; Group: BE; Population: 23969; Offences per 100k: 7363.7
- Ham-sur-Heure-Nalinnes; Group: BE; Population: 13856; Offences per 100k: 8112
- Clavier; Group: BE; Population: 5027; Offences per 100k: 3680.1
- Esneux; Group: BE; Population: 12779; Offences per 100k: 6236.8
- Bullange; Group: BE; Population: 5479; Offences per 100k: 2628.2
- Waimes; Group: BE; Population: 7524; Offences per 100k: 2990.4
- Lummen; Group: BE; Population: 15452; Offences per 100k: 6808.2
- Dilsen-Stokkem; Group: BE; Population: 21677; Offences per 100k: 4373.3
- Vaux-sur-Sûre; Group: BE; Population: 6384; Offences per 100k: 3211.2
- Florenville; Group: BE; Population: 5681; Offences per 100k: 7639.5
- Floreffe; Group: BE; Population: 8087; Offences per 100k: 5960.2
- Walcourt; Group: BE; Population: 18338; Offences per 100k: 5911.2
- Yambol; Group: BG; Population: 58997; Offences per 100k: 1247.7
- Sandanski; Group: BG; Population: 34243; Offences per 100k: 974.5
- Ville-Marie; Group: CA; Population: 2017; Offences per 100k: 3641
- United Townships of Dysart, Dudley, Harcourt, Guilford, Harburn, Bruton, Havelock, Eyre and Clyde; Group: CA; Population: 7182; Offences per 100k: 4296.48
- Bécancour; Group: CA; Population: 14953; Offences per 100k: 3417
- Carignan; Group: CA; Population: 11954; Offences per 100k: 3641
- Corunna; Group: CA; Population: 6266; Offences per 100k: 4296.48
- Drumheller; Group: CA; Population: 7968; Offences per 100k: 7390.17
- Ganges; Group: CA; Population: 11635; Offences per 100k: 6943.25
- Huron East; Group: CA; Population: 9850; Offences per 100k: 4296.48
- Lambton Shores; Group: CA; Population: 11561; Offences per 100k: 4296.48
- Mercier; Group: CA; Population: 15237; Offences per 100k: 3641
- New Glasgow; Group: CA; Population: 9697; Offences per 100k: 6146.93
- Peace River; Group: CA; Population: 6662; Offences per 100k: 7390.17
- Port-Cartier; Group: CA; Population: 6497; Offences per 100k: 3673.05
- Rocky Mountain House; Group: CA; Population: 6603; Offences per 100k: 7390.17
- Sainte-Monique; Group: CA; Population: 886; Offences per 100k: 3673.05
- Shediac; Group: CA; Population: 8182; Offences per 100k: 6199.85
- St. Paul; Group: CA; Population: 5771; Offences per 100k: 7390.17
- Val-David; Group: CA; Population: 5645; Offences per 100k: 3673.05
- Yorkton; Group: CA; Population: 16728; Offences per 100k: 19113.04
- La Malbaie; Group: CA; Population: 8412; Offences per 100k: 3673.05
- Aurora; Group: CA; Population: 62057; Offences per 100k: 4296.48
- Corner Brook; Group: CA; Population: 19333; Offences per 100k: 7222.44
- Kamloops; Group: CA; Population: 97902; Offences per 100k: 10546
- New Westminster; Group: CA; Population: 78916; Offences per 100k: 6943.25
- Saint-Constant; Group: CA; Population: 29954; Offences per 100k: 3641
- Spruce Grove; Group: CA; Population: 37645; Offences per 100k: 7390.17
- Pickering; Group: CA; Population: 99186; Offences per 100k: 4296.48
- Oakville; Group: CA; Population: 213759; Offences per 100k: 4296.48
- Markham; Group: CA; Population: 338503; Offences per 100k: 4296.48
- Wettswil am Albis; Group: CH; Population: 5337; Offences per 100k: 7562.80786657
- Regensdorf; Group: CH; Population: 20282; Offences per 100k: 6483.58150084
- Erlenbach (ZH); Group: CH; Population: 5505; Offences per 100k: 7562.80786657
- Greifensee; Group: CH; Population: 5421; Offences per 100k: 7562.80786657
- Urdorf; Group: CH; Population: 10503; Offences per 100k: 6017.32838237
- Zollikofen; Group: CH; Population: 11591; Offences per 100k: 4305.06427401
- Münsingen; Group: CH; Population: 13049; Offences per 100k: 5532.9910338
- Niederbipp; Group: CH; Population: 5557; Offences per 100k: 5218.64315278
- Ruswil; Group: CH; Population: 7541; Offences per 100k: 2174.77788092
- Arth; Group: CH; Population: 12524; Offences per 100k: 4422.954977805961
- Oberägeri; Group: CH; Population: 6578; Offences per 100k: 4755.53129603
- Tafers; Group: CH; Population: 8026; Offences per 100k: 1905.3549190535493
- Wangen bei Olten; Group: CH; Population: 5532; Offences per 100k: 4302.24150398
- Frenkendorf; Group: CH; Population: 6651; Offences per 100k: 5609.828300769686
- Rorschach; Group: CH; Population: 10274; Offences per 100k: 11406.29511983829
- Flums; Group: CH; Population: 5400; Offences per 100k: 5560.55522224
- Uzwil; Group: CH; Population: 14570; Offences per 100k: 4980.921231943309
- Fislisbach; Group: CH; Population: 6140; Offences per 100k: 4136.80781759
- Frick; Group: CH; Population: 5924; Offences per 100k: 9959.48683322
- Romanshorn; Group: CH; Population: 11945; Offences per 100k: 5703.3344574
- Lugano; Group: CH; Population: 63629; Offences per 100k: 7161.137366346894
- Prilly; Group: CH; Population: 12758; Offences per 100k: 10638.950678837156
- Oron; Group: CH; Population: 6341; Offences per 100k: 5041.104389638591
- Collombey-Muraz; Group: CH; Population: 10051; Offences per 100k: 3710.2473498233217
- Val-de-Travers; Group: CH; Population: 10691; Offences per 100k: 5816.993464052288
- Delémont; Group: CH; Population: 12813; Offences per 100k: 8906.16580709722
- Žatec; Group: CZ; Population: 18959; Offences per 100k: 1617.918010133579
- Velká Bíteš; Group: CZ; Population: 5482; Offences per 100k: 758.6026892086452
- Trutnov; Group: CZ; Population: 29607; Offences per 100k: 1406.799531066823
- Stříbro; Group: CZ; Population: 8060; Offences per 100k: 1573.0181528717533
- Šenov; Group: CZ; Population: 6639; Offences per 100k: 2677.4674637671924
- Příbram; Group: CZ; Population: 32773; Offences per 100k: 1493.834766683265
- Pacov; Group: CZ; Population: 4743; Offences per 100k: 1005.323091435887
- Nová Paka; Group: CZ; Population: 8979; Offences per 100k: 1052.6709188758223
- Mělník; Group: CZ; Population: 20278; Offences per 100k: 1238.6185107066287
- Letohrad; Group: CZ; Population: 6407; Offences per 100k: 767.8903261726235
- Komín; Group: CZ; Population: 7922; Offences per 100k: 2261.9565862635295
- Jeseník; Group: CZ; Population: 10456; Offences per 100k: 1662.7274226350794
- Holice; Group: CZ; Population: 6761; Offences per 100k: 1118.5916314813082
- Domažlice; Group: CZ; Population: 11133; Offences per 100k: 1447.191011235955
- Cheb; Group: CZ; Population: 32808; Offences per 100k: 1602.6257831376824
- Bučovice; Group: CZ; Population: 6891; Offences per 100k: 935.504370201373
- Brno střed; Group: CZ; Population: 70857; Offences per 100k: 2261.95658626353
- Essen; Group: DE; Population: 596710; Offences per 100k: 8610.419921875
- Frankfurt am Main; Group: DE; Population: 781337; Offences per 100k: 14590.3896484375
- Leipzig; Group: DE; Population: 633592; Offences per 100k: 11018.1298828125
- Blankenfelde-Mahlow; Group: DE; Population: 29129; Offences per 100k: 5377.403088559723
- Wüstenrot; Group: DE; Population: 6692; Offences per 100k: 3237.5655948253207
- Wilhermsdorf; Group: DE; Population: 5158; Offences per 100k: 3137.9811245423425
- Weßling; Group: DE; Population: 5519; Offences per 100k: 2911.8130468172453
- Weissach; Group: DE; Population: 7745; Offences per 100k: 3792.5737726075304
- Wannweil; Group: DE; Population: 5352; Offences per 100k: 4404.00295758187
- Wadersloh; Group: DE; Population: 12848; Offences per 100k: 5192.489359217942
- Unterhausen; Group: DE; Population: 9191; Offences per 100k: 4404.00295758187
- Trebur; Group: DE; Population: 12799; Offences per 100k: 4368.081696545041
- Süsel; Group: DE; Population: 4978; Offences per 100k: 5711.959974587039
- Stelle; Group: DE; Population: 11974; Offences per 100k: 4657.2683778172295
- Söhlde; Group: DE; Population: 7486; Offences per 100k: 6099.302445552623
- Sechtem; Group: DE; Population: 5418; Offences per 100k: 5003.790625345822
- Schonungen; Group: DE; Population: 7628; Offences per 100k: 4132.412679751178
- Schipkau; Group: DE; Population: 6726; Offences per 100k: 5225.756774558645
- Alt-Sanitz; Group: DE; Population: 239; Offences per 100k: 7270.3106385248675
- Rotthalmünster; Group: DE; Population: 4676; Offences per 100k: 2980.4981021987787
- Rohr; Group: DE; Population: 7775; Offences per 100k: 8781.81
- Reinsdorf; Group: DE; Population: 7009; Offences per 100k: 5825.426264614904
- Raesfeld; Group: DE; Population: 11709; Offences per 100k: 5952.793621781741
- Piding; Group: DE; Population: 5284; Offences per 100k: 8115.526345781256
- Ottendorf-Okrilla; Group: DE; Population: 9909; Offences per 100k: 4501.92749343832
- Oestrich; Group: DE; Population: 6215; Offences per 100k: 11838.7
- Oberhausen-Rheinhausen; Group: DE; Population: 9565; Offences per 100k: 3452.387214419722
- Nordheim; Group: DE; Population: 8480; Offences per 100k: 3237.5655948253207
- Neu Wulmstorf; Group: DE; Population: 23550; Offences per 100k: 4657.2683778172295
- Neuendettelsau; Group: DE; Population: 8138; Offences per 100k: 2586.4320242174886
- Murnau am Staffelsee; Group: DE; Population: 11994; Offences per 100k: 4499.641641282924
- Molfsee; Group: DE; Population: 4972; Offences per 100k: 3818.6277683073317
- Mengede; Group: DE; Population: 12480; Offences per 100k: 11838.7
- Malente; Group: DE; Population: 10858; Offences per 100k: 5711.959974587039
- Lohfelden; Group: DE; Population: 13870; Offences per 100k: 3473.361232164727
- Lenggries; Group: DE; Population: 10147; Offences per 100k: 2844.5734291505437
- Langwedel; Group: DE; Population: 14689; Offences per 100k: 5060.378284015986
- Kürten; Group: DE; Population: 20033; Offences per 100k: 5206.614768198176
- Krailling; Group: DE; Population: 7847; Offences per 100k: 2911.8130468172453
- Kleinostheim; Group: DE; Population: 8360; Offences per 100k: 2615.4611132235514
- Kippenheim; Group: DE; Population: 5559; Offences per 100k: 6568.388114859124
- Jesteburg; Group: DE; Population: 7758; Offences per 100k: 4657.2683778172295
- Igersheim; Group: DE; Population: 5517; Offences per 100k: 4213.443068582027
- Hohenlockstedt; Group: DE; Population: 5918; Offences per 100k: 5110.33594262079
- Herzberg; Group: DE; Population: 8753; Offences per 100k: 4695.458674859902
- Heddesheim; Group: DE; Population: 12294; Offences per 100k: 3903.96035527006
- Hambergen; Group: DE; Population: 5651; Offences per 100k: 4049.3670663215903
- Großpösna; Group: DE; Population: 5570; Offences per 100k: 5045.996763119553
- Grävenwiesbach; Group: DE; Population: 5376; Offences per 100k: 3686.1096398305085
- Glessen; Group: DE; Population: 6005; Offences per 100k: 6475.685582064822
- Garrel; Group: DE; Population: 15152; Offences per 100k: 3591.583109730264
- Frickenhausen; Group: DE; Population: 9201; Offences per 100k: 4300.02925823843
- Eutingen an der Enz; Group: DE; Population: 8436; Offences per 100k: 7903.86
- Engelskirchen; Group: DE; Population: 19737; Offences per 100k: 3976.545025304955
- Eil; Group: DE; Population: 9644; Offences per 100k: 12746.59
- Echzell; Group: DE; Population: 5474; Offences per 100k: 3848.9311377341596
- Dorstfeld; Group: DE; Population: 4170; Offences per 100k: 11838.7
- Dettingen an der Erms; Group: DE; Population: 9993; Offences per 100k: 4404.00295758187
- Cölbe; Group: DE; Population: 6491; Offences per 100k: 4567.451246885361
- Büchenbach; Group: DE; Population: 5514; Offences per 100k: 2307.357422725294
- Bous; Group: DE; Population: 7191; Offences per 100k: 5745.65273559565
- Blankenheim; Group: DE; Population: 8434; Offences per 100k: 5490.378018745466
- Bienenbüttel; Group: DE; Population: 6597; Offences per 100k: 6552.958379711474
- Beckingen; Group: DE; Population: 15442; Offences per 100k: 4866.748177497495
- Bad Frankenhausen; Group: DE; Population: 9492; Offences per 100k: 6546.042543700689
- Altlußheim; Group: DE; Population: 6317; Offences per 100k: 3903.96035527006
- Aldingen; Group: DE; Population: 7858; Offences per 100k: 2924.7699851247867
- Uhldingen-Mühlhofen; Group: DE; Population: 8210; Offences per 100k: 4106.809659245304
- Walluf; Group: DE; Population: 5407; Offences per 100k: 3035.8037392742294
- Seeheim-Jugenheim; Group: DE; Population: 16392; Offences per 100k: 2901.122769608736
- Groitzsch; Group: DE; Population: 7442; Offences per 100k: 5045.996763119553
- Olsberg; Group: DE; Population: 14700; Offences per 100k: 4707.429373224507
- Geseke; Group: DE; Population: 20930; Offences per 100k: 6099.2950312523935
- Mügeln; Group: DE; Population: 5505; Offences per 100k: 6318.761219925585
- Rheinbach; Group: DE; Population: 26918; Offences per 100k: 5003.790625345822
- Zarrentin am Schaalsee; Group: DE; Population: 5312; Offences per 100k: 5059.781250600696
- Laatzen; Group: DE; Population: 41838; Offences per 100k: 9069.952528206099
- Kamp-Lintfort; Group: DE; Population: 38217; Offences per 100k: 5627.645124236217
- Kempen; Group: DE; Population: 34105; Offences per 100k: 5596.645370093703
- Bad Frankenhausen/Kyffhäuser; Group: DE; Population: 9715; Offences per 100k: 6546.042543700689
- Nassau; Group: DE; Population: 4840; Offences per 100k: 4359.492945185846
- Fuerstenfeldbruck; Group: DE; Population: 37420; Offences per 100k: 2845.202472654621
- Seelze; Group: DE; Population: 34364; Offences per 100k: 9069.952528206099
- Münchberg; Group: DE; Population: 9969; Offences per 100k: 4901.780000216941
- Bad Hersfeld; Group: DE; Population: 30846; Offences per 100k: 3783.194508320984
- Artern; Group: DE; Population: 6462; Offences per 100k: 6546.042543700689
- Oberzent; Group: DE; Population: 9429; Offences per 100k: 2710.8241161051083
- Tecklenburg; Group: DE; Population: 9098; Offences per 100k: 5721.787333522244
- Haldensleben; Group: DE; Population: 19121; Offences per 100k: 6058.693218360687
- Rhede; Group: DE; Population: 19674; Offences per 100k: 5952.793621781741
- Baesweiler; Group: DE; Population: 29206; Offences per 100k: 8280.592709603201
- Dietenheim; Group: DE; Population: 6843; Offences per 100k: 2635.4803957421154
- Borgholzhausen; Group: DE; Population: 8847; Offences per 100k: 5090.36161128847
- Schifferstadt; Group: DE; Population: 21387; Offences per 100k: 4076.801683324566
- Bad Driburg; Group: DE; Population: 19080; Offences per 100k: 4336.742021658576
- Frankenau; Group: DE; Population: 2782; Offences per 100k: 3392.08127586607
- Penzberg; Group: DE; Population: 17028; Offences per 100k: 2977.8996380175163
- Grebenstein; Group: DE; Population: 5358; Offences per 100k: 3473.361232164727
- Buchloe; Group: DE; Population: 13815; Offences per 100k: 2833.569170767422
- Simmern/ Hunsrück; Group: DE; Population: 8195; Offences per 100k: 4685.8160348624715
- Sandersdorf-Brehna; Group: DE; Population: 14130; Offences per 100k: 7540.75864998203
- Pforzheim; Group: DE; Population: 129610; Offences per 100k: 6257.10009765625
- Trier; Group: DE; Population: 112597; Offences per 100k: 11190
- Heubach; Group: DE; Population: 10145; Offences per 100k: 3552.3128152299582
- Glückstadt; Group: DE; Population: 11410; Offences per 100k: 5110.33594262079
- Worms; Group: DE; Population: 86753; Offences per 100k: 6751.14990234375
- Linz am Rhein; Group: DE; Population: 6265; Offences per 100k: 4862.980731086792
- Aalen; Group: DE; Population: 67621; Offences per 100k: 3552.3128152299582
- Kempten Allgaeu; Group: DE; Population: 67645; Offences per 100k: 4998.152117673147
- Euskirchen; Group: DE; Population: 60021; Offences per 100k: 5490.378018745466
- Neustadt an der Weinstrasse; Group: DE; Population: 52945; Offences per 100k: 7272.68994140625
- Bad Bergzabern; Group: DE; Population: 8724; Offences per 100k: 4224.5047818739995
- Burg Stargard; Group: DE; Population: 5171; Offences per 100k: 6139.218408723683
- Einbeck; Group: DE; Population: 29751; Offences per 100k: 5081.075917626549
- Bad Reichenhall; Group: DE; Population: 18288; Offences per 100k: 8115.526345781256
- Ratzeburg; Group: DE; Population: 15026; Offences per 100k: 4354.256067107911
- Dinkelsbühl; Group: DE; Population: 12260; Offences per 100k: 2586.4320242174886
- Emmendingen; Group: DE; Population: 29502; Offences per 100k: 4467.951020985117
- Bad Buchau; Group: DE; Population: 4651; Offences per 100k: 2654.09926958031
- Gützkow; Group: DE; Population: 3034; Offences per 100k: 7270.3106385248675
- Furth im Wald; Group: DE; Population: 8659; Offences per 100k: 3346.1963371559277
- Senden; Group: DE; Population: 23641; Offences per 100k: 3933.658324028432
- Eschenbach i.d.OPf.; Group: DE; Population: 4308; Offences per 100k: 4253.0375121031975
- Goldkronach; Group: DE; Population: 3451; Offences per 100k: 2626.5562176040303
- Bockenem; Group: DE; Population: 9465; Offences per 100k: 6099.302445552623
- Havelberg; Group: DE; Population: 6246; Offences per 100k: 7770.936191781337
- Ebermannstadt; Group: DE; Population: 6688; Offences per 100k: 2779.2122839633685
- Tornesch; Group: DE; Population: 14588; Offences per 100k: 6520.141564403501
- Aulendorf; Group: DE; Population: 10417; Offences per 100k: 3761.224587945119
- Erbach; Group: DE; Population: 13928; Offences per 100k: 2635.4803957421154
- Munster; Group: DE; Population: 15062; Offences per 100k: 10303.681589574611
- Hornberg; Group: DE; Population: 4154; Offences per 100k: 6568.388114859124
- Gommern; Group: DE; Population: 10090; Offences per 100k: 7204.917014088963
- Dargun; Group: DE; Population: 4100; Offences per 100k: 6139.218408723683
- Gronau (Leine); Group: DE; Population: 10527; Offences per 100k: 6099.302445552623
- Bad Schwartau; Group: DE; Population: 19954; Offences per 100k: 5711.959974587039
- Barmstedt; Group: DE; Population: 10470; Offences per 100k: 6520.141564403501
- Saalburg-Ebersdorf; Group: DE; Population: 3271; Offences per 100k: 6842.425104407753
- Weida; Group: DE; Population: 7939; Offences per 100k: 5385.9370164448765
- Oberkochen; Group: DE; Population: 7746; Offences per 100k: 3552.3128152299582
- Bad Neuenahr-Ahrweiler; Group: DE; Population: 27961; Offences per 100k: 4760.616298037155
- Staßfurt; Group: DE; Population: 23181; Offences per 100k: 6727.2958605086
- Stühlingen; Group: DE; Population: 5351; Offences per 100k: 4213.802388404175
- Tambach-Dietharz/Thür. Wald; Group: DE; Population: 4474; Offences per 100k: 5778.206392909201
- Hessisch Oldendorf; Group: DE; Population: 18567; Offences per 100k: 5111.083001005306
- Ummerstadt; Group: DE; Population: 455; Offences per 100k: 4134.229082967976
- Rheinsberg; Group: DE; Population: 7699; Offences per 100k: 7267.629498144263
- Kelbra (Kyffhäuser); Group: DE; Population: 3196; Offences per 100k: 5943.625076533182
- Lohne (Oldenburg); Group: DE; Population: 28089; Offences per 100k: 4275.994786370864
- Bischofsheim i.d.Rhön; Group: DE; Population: 4755; Offences per 100k: 2910.236220472441
- Saarburg; Group: DE; Population: 7504; Offences per 100k: 4085.852584372252
- Osterwieck; Group: DE; Population: 11045; Offences per 100k: 7499.367347336046
- Gladenbach; Group: DE; Population: 12415; Offences per 100k: 4567.451246885361
- Rastenberg; Group: DE; Population: 2360; Offences per 100k: 4728.7016382787
- Magdala; Group: DE; Population: 1924; Offences per 100k: 6113.457617244393
- Bad Bevensen; Group: DE; Population: 9466; Offences per 100k: 6552.958379711474
- Langenau; Group: DE; Population: 15274; Offences per 100k: 2635.4803957421154
- Hatzfeld (Eder); Group: DE; Population: 2865; Offences per 100k: 3392.08127586607
- Nidda; Group: DE; Population: 17060; Offences per 100k: 3848.9311377341596
- Butzbach; Group: DE; Population: 27046; Offences per 100k: 3848.9311377341596
- Trebbin; Group: DE; Population: 9700; Offences per 100k: 5377.403088559723
- Richtenberg; Group: DE; Population: 1301; Offences per 100k: 6959.940149533231
- Ortrand; Group: DE; Population: 1996; Offences per 100k: 5225.756774558645
- Markdorf; Group: DE; Population: 14300; Offences per 100k: 4106.809659245304
- Elterlein; Group: DE; Population: 2636; Offences per 100k: 3419.976507094983
- Thalheim/Erzgeb.; Group: DE; Population: 5956; Offences per 100k: 3419.976507094983
- Premnitz; Group: DE; Population: 8057; Offences per 100k: 4924.6637086294295
- Gersfeld (Rhön); Group: DE; Population: 5352; Offences per 100k: 4424.98976529919
- Sulzbach/ Saar; Group: DE; Population: 16376; Offences per 100k: 9089.026231506023
- Freudenberg; Group: DE; Population: 3615; Offences per 100k: 4213.443068582027
- Ludwigsburg; Group: DE; Population: 92858; Offences per 100k: 4004.3035336045455
- Neukirchen; Group: DE; Population: 6782; Offences per 100k: 3508.060709386853
- Lambrecht (Pfalz); Group: DE; Population: 3995; Offences per 100k: 5069.642445041652
- Montabaur; Group: DE; Population: 14884; Offences per 100k: 4358.454882749527
- Naumburg; Group: DE; Population: 4935; Offences per 100k: 3473.361232164727
- Hohnstein; Group: DE; Population: 3150; Offences per 100k: 5168.527352907425
- Neunkirchen; Group: DE; Population: 47344; Offences per 100k: 5783.944916240548
- Bitterfeld-Wolfen; Group: DE; Population: 36592; Offences per 100k: 7540.75864998203
- Bruehl; Group: DE; Population: 45555; Offences per 100k: 6475.685582064822
- Dachau; Group: DE; Population: 47138; Offences per 100k: 2696.0513037533774
- Roßwein; Group: DE; Population: 7149; Offences per 100k: 4161.50807439168
- Heimsheim; Group: DE; Population: 5530; Offences per 100k: 2632.856892537986
- Elstra / Halštrow; Group: DE; Population: 2651; Offences per 100k: 4501.92749343832
- Neustadt in Sachsen; Group: DE; Population: 11810; Offences per 100k: 5168.527352907425
- Blumberg; Group: DE; Population: 10003; Offences per 100k: 3454.0910471118586
- Weinstadt; Group: DE; Population: 27074; Offences per 100k: 3701.4177573656216
- Ladenburg; Group: DE; Population: 12914; Offences per 100k: 3903.96035527006
- Bad Doberan; Group: DE; Population: 13079; Offences per 100k: 4434.41644835201
- Lillerød; Group: DK; Population: 16894; Offences per 100k: 4784.14
- Ballerup; Group: DK; Population: 52939; Offences per 100k: 8583.642704
- Frederikshavn; Group: DK; Population: 57882; Offences per 100k: 5907.973867
- Høje-Taastrup; Group: DK; Population: 59059; Offences per 100k: 7557.797905
- Lolland; Group: DK; Population: 39122; Offences per 100k: 8672.576694
- Rudersdal; Group: DK; Population: 57342; Offences per 100k: 5792.347414
- Varde; Group: DK; Population: 49410; Offences per 100k: 4838.169108
- Põlva; Group: EE; Population: 5292; Offences per 100k: 1290
- Elva vald; Group: EE; Population: 14600; Offences per 100k: 2370
- Saaremaa vald; Group: EE; Population: 13390; Offences per 100k: 1230
- Tallinn; Group: EE; Population: 452563; Offences per 100k: 2030
- Quintana de la Serena; Group: ES; Population: 4427; Offences per 100k: 3460
- Cabeza del Buey; Group: ES; Population: 4484; Offences per 100k: 3460
- Oria; Group: ES; Population: 2219; Offences per 100k: 4750
- Boalo; Group: ES; Population: 8766; Offences per 100k: 5490
- Zaragoza; Group: ES; Population: 693091; Offences per 100k: 4150.74
- Coín; Group: ES; Population: 26574; Offences per 100k: 3797.13
- Bembibre; Group: ES; Population: 8041; Offences per 100k: 4030
- Premià de Mar; Group: ES; Population: 29431; Offences per 100k: 4815.03
- Gijón; Group: ES; Population: 269894; Offences per 100k: 3678.49
- Berango; Group: ES; Population: 8242; Offences per 100k: 4850
- Lloret de Mar; Group: ES; Population: 43000; Offences per 100k: 7638.5
- Ronda; Group: ES; Population: 33671; Offences per 100k: 4579.83
- Arjona; Group: ES; Population: 5330; Offences per 100k: 4750
- Palma del Río; Group: ES; Population: 20438; Offences per 100k: 4271.455
- Alcalá del Río; Group: ES; Population: 12335; Offences per 100k: 4750
- Sant Quirze del Vallès; Group: ES; Population: 20209; Offences per 100k: 2747.88
- Oviedo; Group: ES; Population: 223968; Offences per 100k: 3423.82
- Pontes de García Rodríguez, As; Group: ES; Population: 9796; Offences per 100k: 3540
- Prado del Rey; Group: ES; Population: 5692; Offences per 100k: 4750
- Cardedeu; Group: ES; Population: 19046; Offences per 100k: 6350
- Sant Pere de Vilamajor; Group: ES; Population: 5074; Offences per 100k: 6350
- Canyelles; Group: ES; Population: 5505; Offences per 100k: 6350
- Sant Boi de Llobregat; Group: ES; Population: 85610; Offences per 100k: 5080.69
- León; Group: ES; Population: 123446; Offences per 100k: 5415.44
- Santa María de Cayón; Group: ES; Population: 9538; Offences per 100k: 4310
- Villamediana de Iregua; Group: ES; Population: 9263; Offences per 100k: 3670
- Bolaños de Calatrava; Group: ES; Population: 12153; Offences per 100k: 4120
- Moaña; Group: ES; Population: 19320; Offences per 100k: 3540
- Valga; Group: ES; Population: 5779; Offences per 100k: 3540
- Yeles; Group: ES; Population: 6514; Offences per 100k: 4120
- Poio; Group: ES; Population: 17434; Offences per 100k: 3540
- Camargo; Group: ES; Population: 30577; Offences per 100k: 5390.84
- Puebla de Alfindén, La; Group: ES; Population: 6550; Offences per 100k: 4120
- Casar, El; Group: ES; Population: 13962; Offences per 100k: 4120
- Loeches; Group: ES; Population: 9261; Offences per 100k: 5490
- Orio; Group: ES; Population: 6184; Offences per 100k: 4850
- Sant Joan de Vilatorrada; Group: ES; Population: 11133; Offences per 100k: 6350
- Pinós, el/Pinoso; Group: ES; Population: 8523; Offences per 100k: 5330
- Muro de Alcoy; Group: ES; Population: 9372; Offences per 100k: 5330
- Boalo, El; Group: ES; Population: 8770; Offences per 100k: 5490
- Almenara; Group: ES; Population: 6813; Offences per 100k: 5330
- Pobla de Farnals, la; Group: ES; Population: 9255; Offences per 100k: 5330
- Motril; Group: ES; Population: 59862; Offences per 100k: 4242.69
- Guadix; Group: ES; Population: 18881; Offences per 100k: 4750
- Ondara; Group: ES; Population: 7717; Offences per 100k: 5330
- Adeje; Group: ES; Population: 50021; Offences per 100k: 12657.03
- Agaete; Group: ES; Population: 5683; Offences per 100k: 4800
- Montehermoso; Group: ES; Population: 5552; Offences per 100k: 3460
- Marbella; Group: ES; Population: 159786; Offences per 100k: 8681.13
- Sant Vicent del Raspeig/San Vicente del Raspeig; Group: ES; Population: 60247; Offences per 100k: 4179.59
- Alcalá de Guadaíra; Group: ES; Population: 77474; Offences per 100k: 4820.47
- Villena; Group: ES; Population: 34712; Offences per 100k: 3486.99
- Ibi; Group: ES; Population: 24500; Offences per 100k: 3378.77
- Atarfe; Group: ES; Population: 20914; Offences per 100k: 4805.67
- Santiponce; Group: ES; Population: 8634; Offences per 100k: 4750
- Melilla; Group: ES; Population: 86780; Offences per 100k: 5090
- Pallaresos, Els; Group: ES; Population: 5028; Offences per 100k: 6350
- Añover de Tajo; Group: ES; Population: 5454; Offences per 100k: 4120
- Almoradí; Group: ES; Population: 22965; Offences per 100k: 4629.63
- Sollana; Group: ES; Population: 5089; Offences per 100k: 5330
- Rivas-Vaciamadrid; Group: ES; Population: 103148; Offences per 100k: 5192.79
- Santa Margarida i els Monjos; Group: ES; Population: 7806; Offences per 100k: 6350
- Laudio/Llodio; Group: ES; Population: 18077; Offences per 100k: 4850
- Martos; Group: ES; Population: 24462; Offences per 100k: 3324.88
- Collado Villalba; Group: ES; Population: 67274; Offences per 100k: 4997.15
- Llanera; Group: ES; Population: 14020; Offences per 100k: 3570
- Pontedeume; Group: ES; Population: 7431; Offences per 100k: 3540
- Ejea de los Caballeros; Group: ES; Population: 17129; Offences per 100k: 4120
- Ciudad Rodrigo; Group: ES; Population: 11750; Offences per 100k: 4030
- Bunyola; Group: ES; Population: 7642; Offences per 100k: 6580
- Cartaya; Group: ES; Population: 21471; Offences per 100k: 5848.28
- Sevilla; Group: ES; Population: 689423; Offences per 100k: 7439.69
- Pedro Muñoz; Group: ES; Population: 7585; Offences per 100k: 4120
- Molina de Segura; Group: ES; Population: 78458; Offences per 100k: 3831.349
- Móra d'Ebre; Group: ES; Population: 5811; Offences per 100k: 6350
- Almunia de Doña Godina, La; Group: ES; Population: 8080; Offences per 100k: 4120
- Bellpuig; Group: ES; Population: 5510; Offences per 100k: 6350
- Yuncos; Group: ES; Population: 13189; Offences per 100k: 4120
- Güímar; Group: ES; Population: 22009; Offences per 100k: 3412.23
- Sant Sadurní d'Anoia; Group: ES; Population: 12911; Offences per 100k: 6350
- Cullera; Group: ES; Population: 24702; Offences per 100k: 9333.77
- Vihti; Group: FI; Population: 28852; Offences per 100k: 9687.4
- Rusko; Group: FI; Population: 6381; Offences per 100k: 4435
- Masku; Group: FI; Population: 9612; Offences per 100k: 5513.9
- Kronoby; Group: FI; Population: 6268; Offences per 100k: 6940
- Janakkala; Group: FI; Population: 15867; Offences per 100k: 9812.8
- Elimäki; Group: FI; Population: 1199; Offences per 100k: 11635.4
- Mustasaari; Group: FI; Population: 19792; Offences per 100k: 4559.7
- Äänekoski; Group: FI; Population: 17740; Offences per 100k: 9075.5
- Lapua; Group: FI; Population: 14028; Offences per 100k: 6544.1
- Hollola; Group: FI; Population: 22849; Offences per 100k: 5457.6
- Salies-de-Béarn; Group: FR; Population: 4861; Offences per 100k: 2741.4592999999995
- Paris 12 Reuilly; Group: FR; Population: 138024; Offences per 100k: 12509.768180000001
- Munster; Group: FR; Population: 4738; Offences per 100k: 4369.63946
- Malesherbes; Group: FR; Population: 6001; Offences per 100k: 4436.089539999999
- La Grand-Croix; Group: FR; Population: 4984; Offences per 100k: 6201.24527
- Égletons; Group: FR; Population: 5074; Offences per 100k: 2380.0312
- Briare; Group: FR; Population: 4979; Offences per 100k: 4014.55626
- Agneaux; Group: FR; Population: 4712; Offences per 100k: 2195.29259
- Cergy-Pontoise; Group: FR; Population: 222099; Offences per 100k: 6393.3249399999995
- Oyonnax; Group: FR; Population: 22480; Offences per 100k: 5179.10281
- Soissons; Group: FR; Population: 28046; Offences per 100k: 6746.96526
- Sisteron; Group: FR; Population: 7850; Offences per 100k: 5491.040080000001
- Mandelieu-la-Napoule; Group: FR; Population: 21640; Offences per 100k: 7229.471020000001
- Villeneuve-Loubet; Group: FR; Population: 17548; Offences per 100k: 7107.432709999999
- Pamiers; Group: FR; Population: 16473; Offences per 100k: 7278.48362
- Port-la-Nouvelle; Group: FR; Population: 5852; Offences per 100k: 8829.876639999999
- La Bouilladisse; Group: FR; Population: 6547; Offences per 100k: 3013.29315
- Grans; Group: FR; Population: 5489; Offences per 100k: 3546.5552199999997
- Port-Saint-Louis-du-Rhône; Group: FR; Population: 8573; Offences per 100k: 5696.00072
- Septèmes-les-Vallons; Group: FR; Population: 11995; Offences per 100k: 6822.71103
- Dives-sur-Mer; Group: FR; Population: 5122; Offences per 100k: 4404.436189999999
- Arpajon-sur-Cère; Group: FR; Population: 6361; Offences per 100k: 1586.78324
- Nieul-sur-Mer; Group: FR; Population: 5811; Offences per 100k: 1759.36056
- Mehun-sur-Yèvre; Group: FR; Population: 6380; Offences per 100k: 4268.7599199999995
- Genlis; Group: FR; Population: 5093; Offences per 100k: 5675.685390000001
- Plédran; Group: FR; Population: 6933; Offences per 100k: 2091.44671
- Trélissac; Group: FR; Population: 7372; Offences per 100k: 3598.4812000000006
- Chatuzange-le-Goubet; Group: FR; Population: 6523; Offences per 100k: 2759.46652
- Le Val d'Hazey; Group: FR; Population: 5111; Offences per 100k: 5380.55174
- Cloyes-les-Trois-Rivières; Group: FR; Population: 5607; Offences per 100k: 2482.5962799999998
- Ergué-Gabéric; Group: FR; Population: 8606; Offences per 100k: 2370.1913400000003
- Plouguerneau; Group: FR; Population: 6755; Offences per 100k: 2410.76211
- Calvi; Group: FR; Population: 5788; Offences per 100k: 4889.4264
- Manduel; Group: FR; Population: 7044; Offences per 100k: 10758.105049999998
- Auterive; Group: FR; Population: 10456; Offences per 100k: 4887.7381799999985
- Fronton; Group: FR; Population: 6671; Offences per 100k: 3698.0025499999997
- Saint-Gaudens; Group: FR; Population: 12139; Offences per 100k: 7515.869020000001
- Ambarès-et-Lagrave; Group: FR; Population: 17644; Offences per 100k: 4698.0592
- Canéjan; Group: FR; Population: 5756; Offences per 100k: 5175.962950000001
- Libourne; Group: FR; Population: 25036; Offences per 100k: 7479.800979999999
- Le Taillan-Médoc; Group: FR; Population: 11073; Offences per 100k: 3971.1728200000002
- Clermont-l'Hérault; Group: FR; Population: 9461; Offences per 100k: 7688.64301
- Mèze; Group: FR; Population: 12669; Offences per 100k: 5039.3982399999995
- Vendargues; Group: FR; Population: 7262; Offences per 100k: 5769.322300000001
- Dol-de-Bretagne; Group: FR; Population: 5829; Offences per 100k: 7552.39218
- Pleurtuit; Group: FR; Population: 7167; Offences per 100k: 2822.94044
- Le Poinçonnet; Group: FR; Population: 5855; Offences per 100k: 2743.74987
- Veigné; Group: FR; Population: 6865; Offences per 100k: 3311.1003499999997
- Grenoble; Group: FR; Population: 156140; Offences per 100k: 12366.216400000001
- Saint-Martin-le-Vinoux; Group: FR; Population: 6078; Offences per 100k: 5124.313340000001
- Vizille; Group: FR; Population: 7292; Offences per 100k: 5042.487340000001
- Parentis-en-Born; Group: FR; Population: 7586; Offences per 100k: 3811.7522699999995
- Le Coteau; Group: FR; Population: 6845; Offences per 100k: 4007.8354400000003
- Saint-Priest-en-Jarez; Group: FR; Population: 6471; Offences per 100k: 6242.48176
- Basse-Goulaine; Group: FR; Population: 9679; Offences per 100k: 4308.40728
- Guérande; Group: FR; Population: 16804; Offences per 100k: 3827.1234900000004
- Pornic; Group: FR; Population: 18745; Offences per 100k: 5094.852260000001
- Saint-Sébastien-sur-Loire; Group: FR; Population: 28596; Offences per 100k: 4831.07791
- Chécy; Group: FR; Population: 9083; Offences per 100k: 3476.6939399999997
- Sully-sur-Loire; Group: FR; Population: 5124; Offences per 100k: 5184.98636
- Baugé-en-Anjou; Group: FR; Population: 11712; Offences per 100k: 3092.0809799999997
- Mûrs-Erigné; Group: FR; Population: 6408; Offences per 100k: 3632.95532
- Avranches; Group: FR; Population: 10143; Offences per 100k: 5507.455
- Fismes; Group: FR; Population: 5850; Offences per 100k: 4953.08493
- Champigneulles; Group: FR; Population: 6551; Offences per 100k: 4250.81747
- Maxéville; Group: FR; Population: 10090; Offences per 100k: 5641.111180000001
- Arradon; Group: FR; Population: 5835; Offences per 100k: 3847.5847400000007
- Muzillac; Group: FR; Population: 5089; Offences per 100k: 2941.65311
- Theix-Noyalo; Group: FR; Population: 8500; Offences per 100k: 3444.97165
- Hettange-Grande; Group: FR; Population: 7772; Offences per 100k: 2457.96244
- Talange; Group: FR; Population: 8120; Offences per 100k: 4090.9959300000005
- Bailleul; Group: FR; Population: 14732; Offences per 100k: 4622.39588
- Cuincy; Group: FR; Population: 6467; Offences per 100k: 3685.49796
- La Gorgue; Group: FR; Population: 5616; Offences per 100k: 2712.75526
- Loos; Group: FR; Population: 22567; Offences per 100k: 5451.3537799999995
- Pérenchies; Group: FR; Population: 8455; Offences per 100k: 5402.5642800000005
- Templeuve-en-Pévèle; Group: FR; Population: 7202; Offences per 100k: 3008.7352199999996
- Chantilly; Group: FR; Population: 10591; Offences per 100k: 7849.67037
- Senlis; Group: FR; Population: 15157; Offences per 100k: 5879.69769
- Berck; Group: FR; Population: 12951; Offences per 100k: 8186.75004
- Divion; Group: FR; Population: 6766; Offences per 100k: 5564.84871
- Liévin; Group: FR; Population: 30063; Offences per 100k: 6167.25451
- Le Portel; Group: FR; Population: 8768; Offences per 100k: 5489.52119
- Le Cendre; Group: FR; Population: 5415; Offences per 100k: 2607.0579900000002
- Biarritz; Group: FR; Population: 26206; Offences per 100k: 7857.306539999999
- Pau; Group: FR; Population: 80441; Offences per 100k: 6197.05352
- Canet-en-Roussillon; Group: FR; Population: 13227; Offences per 100k: 9665.3963
- Barr; Group: FR; Population: 7057; Offences per 100k: 3176.7630700000004
- Mundolsheim; Group: FR; Population: 5322; Offences per 100k: 4883.83864
- Wissembourg; Group: FR; Population: 7566; Offences per 100k: 4173.89609
- Riedisheim; Group: FR; Population: 12200; Offences per 100k: 3356.1714099999995
- Chaponost; Group: FR; Population: 9382; Offences per 100k: 5222.934209999999
- Saint-Cyr-au-Mont-d'Or; Group: FR; Population: 6327; Offences per 100k: 5320.42987
- Décines-Charpieu; Group: FR; Population: 29877; Offences per 100k: 6182.079070000001
- Luxeuil-les-Bains; Group: FR; Population: 6663; Offences per 100k: 6488.22156
- Saint-Vallier; Group: FR; Population: 8508; Offences per 100k: 2935.2613
- Bassens; Group: FR; Population: 5175; Offences per 100k: 4704.02256
- Bons-en-Chablais; Group: FR; Population: 6343; Offences per 100k: 4600.997580000001
- Rumilly; Group: FR; Population: 16442; Offences per 100k: 3991.1306799999998
- Barentin; Group: FR; Population: 12022; Offences per 100k: 5550.72941
- Harfleur; Group: FR; Population: 8289; Offences per 100k: 6025.859760000001
- Saint-Aubin-lès-Elbeuf; Group: FR; Population: 8443; Offences per 100k: 5735.56789
- Claye-Souilly; Group: FR; Population: 13353; Offences per 100k: 6609.64786
- Magny-le-Hongre; Group: FR; Population: 9060; Offences per 100k: 4431.679509999999
- Ozoir-la-Ferrière; Group: FR; Population: 21238; Offences per 100k: 3895.6532099999995
- Vert-Saint-Denis; Group: FR; Population: 9291; Offences per 100k: 4186.200360000001
- Le Chesnay-Rocquencourt; Group: FR; Population: 30689; Offences per 100k: 3611.36456
- Magnanville; Group: FR; Population: 6383; Offences per 100k: 3573.30355
- Le Perray-en-Yvelines; Group: FR; Population: 6480; Offences per 100k: 3786.1574400000004
- La Verrière; Group: FR; Population: 5994; Offences per 100k: 6838.51975
- Saint-Maixent-l'École; Group: FR; Population: 7595; Offences per 100k: 5690.18083
- Labruguière; Group: FR; Population: 6584; Offences per 100k: 3080.9465599999994
- Brignoles; Group: FR; Population: 17850; Offences per 100k: 8490.61198
- La Londe-les-Maures; Group: FR; Population: 10584; Offences per 100k: 4246.67723
- Saint-Zacharie; Group: FR; Population: 5879; Offences per 100k: 2434.47035
- Carpentras; Group: FR; Population: 31619; Offences per 100k: 6961.77489
- Sorgues; Group: FR; Population: 19006; Offences per 100k: 6076.34843
- Les Herbiers; Group: FR; Population: 16521; Offences per 100k: 3086.38634
- Chauvigny; Group: FR; Population: 7007; Offences per 100k: 4073.5573300000005
- Isle; Group: FR; Population: 7995; Offences per 100k: 2742.6497099999997
- Joigny; Group: FR; Population: 9016; Offences per 100k: 8544.34628
- Corbeil-Essonnes; Group: FR; Population: 54471; Offences per 100k: 8431.9111
- Limours; Group: FR; Population: 6517; Offences per 100k: 3498.4893500000007
- Quincy-sous-Sénart; Group: FR; Population: 9477; Offences per 100k: 4063.4798600000004
- Villemoisson-sur-Orge; Group: FR; Population: 7332; Offences per 100k: 3466.0869600000005
- Fontenay-aux-Roses; Group: FR; Population: 24070; Offences per 100k: 4019.30294
- Suresnes; Group: FR; Population: 48956; Offences per 100k: 5284.02229
- Épinay-sur-Seine; Group: FR; Population: 52833; Offences per 100k: 5464.468310000001
- Rosny-sous-Bois; Group: FR; Population: 47180; Offences per 100k: 8582.862170000002
- Champigny-sur-Marne; Group: FR; Population: 78072; Offences per 100k: 5592.24311
- Ormesson-sur-Marne; Group: FR; Population: 10977; Offences per 100k: 4329.8333
- Vitry-sur-Seine; Group: FR; Population: 93963; Offences per 100k: 6738.580409999999
- Enghien-les-Bains; Group: FR; Population: 11432; Offences per 100k: 7762.01714
- Menucourt; Group: FR; Population: 6184; Offences per 100k: 2804.72298
- Sannois; Group: FR; Population: 26924; Offences per 100k: 4978.27115
- Výronas; Group: GR; Population: 59134; Offences per 100k: 3126.1903026367236
- Río; Group: GR; Population: 5430; Offences per 100k: 1954.07215
- Palaió Fáliro; Group: GR; Population: 64863; Offences per 100k: 3126.1903026367236
- Néa Anchiálos; Group: GR; Population: 5114; Offences per 100k: 1243.71339
- Mándra; Group: GR; Population: 12365; Offences per 100k: 2926.701365
- Kyparissía; Group: GR; Population: 5763; Offences per 100k: 2291.534776
- Kalloní; Group: GR; Population: 2161; Offences per 100k: 1402.896209
- Gargaliánoi; Group: GR; Population: 4724; Offences per 100k: 2291.534776
- Dhafní; Group: GR; Population: 23431; Offences per 100k: 2926.701365
- Anoixi; Group: GR; Population: 6592; Offences per 100k: 2926.701365
- Agriá; Group: GR; Population: 4928; Offences per 100k: 1243.71339
- Sérres; Group: GR; Population: 59260; Offences per 100k: 1351.8212136401962
- Néa Michanióna; Group: GR; Population: 7846; Offences per 100k: 2414.583262
- Kateríni; Group: GR; Population: 59189; Offences per 100k: 1351.8212136401962
- Arrianá; Group: GR; Population: 1112; Offences per 100k: 1136.775803
- Néa Chalkidóna; Group: GR; Population: 9760; Offences per 100k: 2926.701365
- Tolna; Group: HU; Population: 10764; Offences per 100k: 1875.669096
- Szentlőrinc; Group: HU; Population: 6045; Offences per 100k: 1683.572637
- Salgótarján; Group: HU; Population: 31312; Offences per 100k: 2339.28921
- Nyergesújfalu; Group: HU; Population: 7376; Offences per 100k: 1491.335352
- Lajosmizse; Group: HU; Population: 11673; Offences per 100k: 1970.127746
- Kecskemét; Group: HU; Population: 108120; Offences per 100k: 567.601479
- Gyál; Group: HU; Population: 23949; Offences per 100k: 1557.179145
- Dömsöd; Group: HU; Population: 6013; Offences per 100k: 1557.179145
- Biatorbágy; Group: HU; Population: 15002; Offences per 100k: 1557.179145
- Vámospércs; Group: HU; Population: 5047; Offences per 100k: 1212.776061
- Szerencs; Group: HU; Population: 8389; Offences per 100k: 1877.474723
- Nyíregyháza; Group: HU; Population: 116282; Offences per 100k: 532.128456
- Létavértes; Group: HU; Population: 6771; Offences per 100k: 1212.776061
- Hosszúpályi; Group: HU; Population: 5514; Offences per 100k: 1212.776061
- Emőd; Group: HU; Population: 4727; Offences per 100k: 1877.474723
- Alsózsolca; Group: HU; Population: 5594; Offences per 100k: 1877.474723
- Carrigaline; Group: IE; Population: 18239; Offences per 100k: 4380.5
- Bandon; Group: IE; Population: 8196; Offences per 100k: 4380.5
- Nenagh; Group: IE; Population: 9895; Offences per 100k: 4380.5
- Portmarnock; Group: IE; Population: 10750; Offences per 100k: 7773.6
- Letterkenny; Group: IE; Population: 22549; Offences per 100k: 4247.4
- Samassi; Group: IT; Population: 4715; Offences per 100k: 2794.1
- Villalba; Group: IT; Population: 1343; Offences per 100k: 2952.9
- Caselle Torinese; Group: IT; Population: 13738; Offences per 100k: 5866.3
- Leini; Group: IT; Population: 16232; Offences per 100k: 5866.3
- San Maurizio Canavese; Group: IT; Population: 10275; Offences per 100k: 5866.3
- Santhià; Group: IT; Population: 8023; Offences per 100k: 2830.4
- Varallo Pombia; Group: IT; Population: 4962; Offences per 100k: 3554
- Dronero; Group: IT; Population: 7024; Offences per 100k: 2489.3
- Alessandria; Group: IT; Population: 92522; Offences per 100k: 3597.4
- Alassio; Group: IT; Population: 9960; Offences per 100k: 4333.4
- Campomorone; Group: IT; Population: 6456; Offences per 100k: 4865
- La Spezia; Group: IT; Population: 92706; Offences per 100k: 3684.1
- Casorate Sempione; Group: IT; Population: 5596; Offences per 100k: 3777.9
- Laveno-Mombello; Group: IT; Population: 8319; Offences per 100k: 3777.9
- Vedano Olona; Group: IT; Population: 7462; Offences per 100k: 3777.9
- Cernobbio; Group: IT; Population: 6225; Offences per 100k: 3085.6
- Tavernerio; Group: IT; Population: 5633; Offences per 100k: 3085.6
- Basiglio; Group: IT; Population: 7901; Offences per 100k: 6989
- Cesano Boscone; Group: IT; Population: 23262; Offences per 100k: 6989
- Inzago; Group: IT; Population: 11384; Offences per 100k: 6989
- Pantigliate; Group: IT; Population: 5801; Offences per 100k: 6989
- San Colombano al Lambro; Group: IT; Population: 7476; Offences per 100k: 6989
- Vanzago; Group: IT; Population: 9367; Offences per 100k: 6989
- Azzano San Paolo; Group: IT; Population: 7594; Offences per 100k: 3415.1
- Chiuduno; Group: IT; Population: 6171; Offences per 100k: 3415.1
- Martinengo; Group: IT; Population: 11025; Offences per 100k: 3415.1
- Sovere; Group: IT; Population: 5339; Offences per 100k: 3415.1
- Adro; Group: IT; Population: 7146; Offences per 100k: 3527.3
- Cazzago San Martino; Group: IT; Population: 10787; Offences per 100k: 3527.3
- Iseo; Group: IT; Population: 8979; Offences per 100k: 3527.3
- Pontevico; Group: IT; Population: 7031; Offences per 100k: 3527.3
- Villa Carcina; Group: IT; Population: 10728; Offences per 100k: 3527.3
- Mortara; Group: IT; Population: 15603; Offences per 100k: 4101.9
- Offanengo; Group: IT; Population: 5922; Offences per 100k: 2885.3
- Marcaria; Group: IT; Population: 6382; Offences per 100k: 3079
- Borgo Virgilio; Group: IT; Population: 15137; Offences per 100k: 3079
- Naturno; Group: IT; Population: 6086; Offences per 100k: 3362.8
- Mezzolombardo; Group: IT; Population: 7678; Offences per 100k: 2952.9
- Caprino Veronese; Group: IT; Population: 8749; Offences per 100k: 4150.9
- Negrar di Valpolicella; Group: IT; Population: 16467; Offences per 100k: 4150.9
- Verona; Group: IT; Population: 255039; Offences per 100k: 6667
- Castelgomberto; Group: IT; Population: 6112; Offences per 100k: 3278.9
- Piovene Rocchette; Group: IT; Population: 8256; Offences per 100k: 3278.9
- Vicenza; Group: IT; Population: 110468; Offences per 100k: 3278.9
- Setteville; Group: IT; Population: 5851; Offences per 100k: 2511.3
- Fontanelle; Group: IT; Population: 5650; Offences per 100k: 2351.9
- Pieve di Soligo; Group: IT; Population: 11500; Offences per 100k: 2351.9
- Silea; Group: IT; Population: 10542; Offences per 100k: 2351.9
- Cavarzere; Group: IT; Population: 12773; Offences per 100k: 4984.6
- Noventa di Piave; Group: IT; Population: 7021; Offences per 100k: 4984.6
- Borgoricco; Group: IT; Population: 9079; Offences per 100k: 3795.1
- Legnaro; Group: IT; Population: 9551; Offences per 100k: 3795.1
- Saccolongo; Group: IT; Population: 4922; Offences per 100k: 3795.1
- Villanova di Camposampiero; Group: IT; Population: 6141; Offences per 100k: 3795.1
- Codroipo; Group: IT; Population: 15802; Offences per 100k: 2980.5
- San Giovanni al Natisone; Group: IT; Population: 6012; Offences per 100k: 2980.5
- Muggia; Group: IT; Population: 12708; Offences per 100k: 4624.8
- Borgo Val di Taro; Group: IT; Population: 6732; Offences per 100k: 4213.8
- San Secondo Parmense; Group: IT; Population: 5887; Offences per 100k: 4213.8
- Cavriago; Group: IT; Population: 9937; Offences per 100k: 3924.8
- Sant'Ilario d'Enza; Group: IT; Population: 11459; Offences per 100k: 3924.8
- Modena; Group: IT; Population: 184074; Offences per 100k: 4293.8
- Bentivoglio; Group: IT; Population: 5821; Offences per 100k: 6108.1
- Medicina; Group: IT; Population: 16812; Offences per 100k: 6108.1
- Zola Predosa; Group: IT; Population: 19466; Offences per 100k: 6108.1
- Riva del Po; Group: IT; Population: 7424; Offences per 100k: 4290.5
- Bertinoro; Group: IT; Population: 11102; Offences per 100k: 3643.7
- Fermignano; Group: IT; Population: 8248; Offences per 100k: 2664.7
- Fabriano; Group: IT; Population: 28597; Offences per 100k: 2662.9
- Macerata; Group: IT; Population: 40585; Offences per 100k: 2630.3
- Monteprandone; Group: IT; Population: 13067; Offences per 100k: 2922.8
- Forte dei Marmi; Group: IT; Population: 6666; Offences per 100k: 3752
- Pistoia; Group: IT; Population: 88889; Offences per 100k: 3410.7
- Fiesole; Group: IT; Population: 13809; Offences per 100k: 6566.8
- Vaglia; Group: IT; Population: 5302; Offences per 100k: 6566.8
- Calci; Group: IT; Population: 6294; Offences per 100k: 4293.7
- Casciana Terme Lari; Group: IT; Population: 12121; Offences per 100k: 4293.7
- Sansepolcro; Group: IT; Population: 15151; Offences per 100k: 3244.6
- San Gimignano; Group: IT; Population: 7452; Offences per 100k: 3041.7
- Castiglione del Lago; Group: IT; Population: 15173; Offences per 100k: 3554.6
- Spello; Group: IT; Population: 8210; Offences per 100k: 3554.6
- Montefiascone; Group: IT; Population: 12951; Offences per 100k: 3079.2
- Anzio; Group: IT; Population: 59789; Offences per 100k: 6434.1
- Genazzano; Group: IT; Population: 5732; Offences per 100k: 6434.1
- Palestrina; Group: IT; Population: 22092; Offences per 100k: 6434.1
- Lariano; Group: IT; Population: 13275; Offences per 100k: 6434.1
- Pontinia; Group: IT; Population: 15111; Offences per 100k: 3658.7
- Cervaro; Group: IT; Population: 7789; Offences per 100k: 2620.3
- Caiazzo; Group: IT; Population: 5083; Offences per 100k: 3435.6
- Gricignano di Aversa; Group: IT; Population: 13060; Offences per 100k: 3435.6
- Santa Maria a Vico; Group: IT; Population: 14367; Offences per 100k: 3435.6
- Airola; Group: IT; Population: 8118; Offences per 100k: 2234
- Caivano; Group: IT; Population: 35986; Offences per 100k: 4489.4
- Frattamaggiore; Group: IT; Population: 28558; Offences per 100k: 4489.4
- Ottaviano; Group: IT; Population: 23271; Offences per 100k: 4489.4
- San Giuseppe Vesuviano; Group: IT; Population: 30498; Offences per 100k: 4489.4
- Volla; Group: IT; Population: 25936; Offences per 100k: 4489.4
- Serino; Group: IT; Population: 6642; Offences per 100k: 2706.4
- Cava de' Tirreni; Group: IT; Population: 49793; Offences per 100k: 3247.1
- Roccadaspide; Group: IT; Population: 6881; Offences per 100k: 3247.1
- Castel di Sangro; Group: IT; Population: 6629; Offences per 100k: 2673.2
- Nereto; Group: IT; Population: 5405; Offences per 100k: 3244.3
- Pescara; Group: IT; Population: 118313; Offences per 100k: 3728.4
- Campobasso; Group: IT; Population: 47547; Offences per 100k: 2932.8
- San Giovanni Rotondo; Group: IT; Population: 26249; Offences per 100k: 3913.3
- Bitonto; Group: IT; Population: 52958; Offences per 100k: 3341.2
- Monopoli; Group: IT; Population: 47757; Offences per 100k: 3341.2
- Carosino; Group: IT; Population: 6468; Offences per 100k: 2809.2
- San Marzano di San Giuseppe; Group: IT; Population: 8826; Offences per 100k: 2809.2
- San Michele Salentino; Group: IT; Population: 6027; Offences per 100k: 2802.6
- Collepasso; Group: IT; Population: 5512; Offences per 100k: 2813.2
- Melissano; Group: IT; Population: 6575; Offences per 100k: 2813.2
- Taurisano; Group: IT; Population: 11187; Offences per 100k: 2813.2
- Pignola; Group: IT; Population: 6829; Offences per 100k: 1994.9
- Amantea; Group: IT; Population: 13844; Offences per 100k: 2458.1
- Roggiano Gravina; Group: IT; Population: 6760; Offences per 100k: 2458.1
- Curinga; Group: IT; Population: 6394; Offences per 100k: 3338.3
- Melito di Porto Salvo; Group: IT; Population: 10387; Offences per 100k: 2824.8
- Custonaci; Group: IT; Population: 5260; Offences per 100k: 3052.1
- Borgetto; Group: IT; Population: 7184; Offences per 100k: 3945.9
- Montelepre; Group: IT; Population: 5679; Offences per 100k: 3945.9
- Milazzo; Group: IT; Population: 29830; Offences per 100k: 2665.8
- Canicattì; Group: IT; Population: 34281; Offences per 100k: 2475.7
- Sciacca; Group: IT; Population: 38576; Offences per 100k: 2475.7
- Regalbuto; Group: IT; Population: 6600; Offences per 100k: 2331.9
- Grammichele; Group: IT; Population: 12310; Offences per 100k: 3976.5
- Sant'Agata li Battiati; Group: IT; Population: 9190; Offences per 100k: 3976.5
- Santa Croce Camerina; Group: IT; Population: 11405; Offences per 100k: 2857
- Sortino; Group: IT; Population: 8044; Offences per 100k: 3895.5
- San Vito al Tagliamento; Group: IT; Population: 15282; Offences per 100k: 2405.5
- Lecco; Group: IT; Population: 47233; Offences per 100k: 2901.6
- Tavazzano con Villavesco; Group: IT; Population: 6056; Offences per 100k: 3121.4
- Montemurlo; Group: IT; Population: 18992; Offences per 100k: 5146.5
- Ricadi; Group: IT; Population: 5044; Offences per 100k: 3196
- Biassono; Group: IT; Population: 12389; Offences per 100k: 3641.3
- Macherio; Group: IT; Population: 7562; Offences per 100k: 3641.3
- Busnago; Group: IT; Population: 6926; Offences per 100k: 3641.3
- San Ferdinando di Puglia; Group: IT; Population: 13898; Offences per 100k: 3172.1
- San Teodoro; Group: IT; Population: 5175; Offences per 100k: 2437.6
- San Gavino Monreale; Group: IT; Population: 7923; Offences per 100k: 2794.1
- Sestu; Group: IT; Population: 20751; Offences per 100k: 2794.1
- Yomitan; Group: JP; Population: 42373; Offences per 100k: 728.3
- Sumiyoshi; Group: JP; Population: 5174; Offences per 100k: 700.7
- Shinkoyasu; Group: JP; Population: 7859; Offences per 100k: 542.6
- Himi; Group: JP; Population: 41167; Offences per 100k: 535.3
- Munakata; Group: JP; Population: 97095; Offences per 100k: 757.6
- Ama; Group: JP; Population: 86126; Offences per 100k: 757.6
- Nankoku; Group: JP; Population: 45512; Offences per 100k: 553.4
- Miyama; Group: JP; Population: 35861; Offences per 100k: 757.6
- Gotō; Group: JP; Population: 33116; Offences per 100k: 336.2
- Unnan; Group: JP; Population: 33803; Offences per 100k: 338.5
- Yachiyo; Group: JP; Population: 21026; Offences per 100k: 686.8
- Chūō; Group: JP; Population: 187404; Offences per 100k: 700.7
- Yonabaru; Group: JP; Population: 19859; Offences per 100k: 728.3
- Yabu; Group: JP; Population: 22129; Offences per 100k: 747.6
- Tsuruoka; Group: JP; Population: 116731; Offences per 100k: 193.711329
- Tomigusuku; Group: JP; Population: 64612; Offences per 100k: 728.3
- Tarumizu; Group: JP; Population: 12672; Offences per 100k: 551
- Takatsuki; Group: JP; Population: 345589; Offences per 100k: 502.696358
- Suzuka; Group: JP; Population: 192840; Offences per 100k: 624.9
- Shiozawa; Group: JP; Population: 51603; Offences per 100k: 462.5
- Shido; Group: JP; Population: 43490; Offences per 100k: 690.7
- Sakata; Group: JP; Population: 93924; Offences per 100k: 199.455487
- Ōtake; Group: JP; Population: 26319; Offences per 100k: 384.2
- Ojiya; Group: JP; Population: 32044; Offences per 100k: 462.5
- Nōgata; Group: JP; Population: 54154; Offences per 100k: 757.6
- Nara-shi; Group: JP; Population: 347187; Offences per 100k: 487.5
- Nagaoka; Group: JP; Population: 255261; Offences per 100k: 394.101957
- Miyazaki; Group: JP; Population: 394504; Offences per 100k: 456.6
- Matsumoto; Group: JP; Population: 234111; Offences per 100k: 557.755707
- Kusatsu; Group: JP; Population: 140515; Offences per 100k: 698.33858
- Komaki; Group: JP; Population: 148281; Offences per 100k: 757.6
- Kiryū; Group: JP; Population: 101185; Offences per 100k: 730
- Kashiwa; Group: JP; Population: 435529; Offences per 100k: 645.422004
- Kameyama; Group: JP; Population: 49835; Offences per 100k: 624.9
- Iwatsuki; Group: JP; Population: 112028; Offences per 100k: 729.3
- Isahaya; Group: JP; Population: 133479; Offences per 100k: 336.2
- Ibaraki; Group: JP; Population: 286042; Offences per 100k: 610.641921
- Hiji; Group: JP; Population: 27723; Offences per 100k: 382.6
- Ōmihachiman; Group: JP; Population: 81122; Offences per 100k: 618.3
- Fukumitsu; Group: JP; Population: 45168; Offences per 100k: 535.3
- Chiryū; Group: JP; Population: 72726; Offences per 100k: 757.6
- Asagaya-minami; Group: JP; Population: 19892; Offences per 100k: 700.7
- Nagato; Group: JP; Population: 32519; Offences per 100k: 384.2
- Fukaura; Group: JP; Population: 7346; Offences per 100k: 400.4
- Tomobe; Group: JP; Population: 72058; Offences per 100k: 686.8
- Sakura; Group: JP; Population: 170406; Offences per 100k: 373.226295
- Narita; Group: JP; Population: 133099; Offences per 100k: 854.73944
- Kogota; Group: JP; Population: 22530; Offences per 100k: 500.9
- Iwaki; Group: JP; Population: 303171; Offences per 100k: 508.213414
- Gojōnome; Group: JP; Population: 8538; Offences per 100k: 295.1
- Yūbari; Group: JP; Population: 5618; Offences per 100k: 478.9
- Shibetsu; Group: JP; Population: 4612; Offences per 100k: 104.21008753647354
- Honchō; Group: JP; Population: 5812; Offences per 100k: 478.9
- Kitami; Group: JP; Population: 110046; Offences per 100k: 317.803949
- Furano; Group: JP; Population: 19394; Offences per 100k: 478.9
- Abira; Group: JP; Population: 7234; Offences per 100k: 478.9
- Sakuragawa; Group: JP; Population: 37008; Offences per 100k: 686.8
- Imizu; Group: JP; Population: 89377; Offences per 100k: 535.3
- Minami-Sōma; Group: JP; Population: 54791; Offences per 100k: 497.6
- Kinokawa; Group: JP; Population: 58287; Offences per 100k: 448.4
- Izunokuni; Group: JP; Population: 45395; Offences per 100k: 506.3
- Toyoake; Group: JP; Population: 67743; Offences per 100k: 757.6
- Sado; Group: JP; Population: 46760; Offences per 100k: 462.5
- Dazaifu; Group: JP; Population: 71580; Offences per 100k: 757.6
- Numabukuro; Group: JP; Population: 14001; Offences per 100k: 700.7
- Yakami; Group: JP; Population: 5129; Offences per 100k: 471.7
- 札幌市清田区; Group: JP; Population: 112355; Offences per 100k: 328.1002263708266
- 樺戸郡新十津川町; Group: JP; Population: 6484; Offences per 100k: 288.9709423663509
- 勇払郡むかわ町; Group: JP; Population: 7651; Offences per 100k: 304.66694363661543
- 釧路郡釧路町; Group: JP; Population: 19105; Offences per 100k: 783.4602829162133
- 北津軽郡中泊町; Group: JP; Population: 9657; Offences per 100k: 148.66730381225443
- 下閉伊郡山田町; Group: JP; Population: 14320; Offences per 100k: 216.54395842355999
- 亘理郡亘理町; Group: JP; Population: 33087; Offences per 100k: 335.1104341203351
- 仙北郡美郷町; Group: JP; Population: 18613; Offences per 100k: 223.57257509745472
- 伊達郡国見町; Group: JP; Population: 8639; Offences per 100k: 308.83261272390365
- 石川郡浅川町; Group: JP; Population: 6036; Offences per 100k: 830.1625735039779
- 猿島郡五霞町; Group: JP; Population: 8093; Offences per 100k: 693.3064414471196
- 吾妻郡中之条町; Group: JP; Population: 15386; Offences per 100k: 467.6811391874913
- さいたま市桜区; Group: JP; Population: 98661; Offences per 100k: 685.1583523080108
- 比企郡鳩山町; Group: JP; Population: 13560; Offences per 100k: 571.1156313565953
- 市川市; Group: JP; Population: 494720; Offences per 100k: 549.6541
- 長生郡長柄町; Group: JP; Population: 6721; Offences per 100k: 609.6582704957484
- 中野区; Group: JP; Population: 344880; Offences per 100k: 625.5090501051793
- 横浜市神奈川区; Group: JP; Population: 247267; Offences per 100k: 488.1382407497803
- 川崎市幸区; Group: JP; Population: 171119; Offences per 100k: 601.2310649398197
- 足柄下郡真鶴町; Group: JP; Population: 6722; Offences per 100k: 305.2037234854265
- 能美市; Group: JP; Population: 48523; Offences per 100k: 263.5602768388862
- 南佐久郡佐久穂町; Group: JP; Population: 10218; Offences per 100k: 147.36221632773356
- 下伊那郡豊丘村; Group: JP; Population: 6426; Offences per 100k: 199.96923550223042
- 安八郡安八町; Group: JP; Population: 14355; Offences per 100k: 671.0016602102933
- 賀茂郡河津町; Group: JP; Population: 6870; Offences per 100k: 656.4551422319474
- 名古屋市熱田区; Group: JP; Population: 66957; Offences per 100k: 757.6
- 知多郡武豊町; Group: JP; Population: 43535; Offences per 100k: 757.6
- 犬上郡豊郷町; Group: JP; Population: 7132; Offences per 100k: 1095.9674019952226
- 相楽郡精華町; Group: JP; Population: 36198; Offences per 100k: 218.17177575255454
- 大阪市住吉区; Group: JP; Population: 153056; Offences per 100k: 930.6449494286089
- 柏原市; Group: JP; Population: 68775; Offences per 100k: 538.3458646616541
- 神戸市北区; Group: JP; Population: 210492; Offences per 100k: 594.8662752145459
- 生駒郡平群町; Group: JP; Population: 18009; Offences per 100k: 487.5
- 有田郡有田川町; Group: JP; Population: 25258; Offences per 100k: 448.4
- 東伯郡北栄町; Group: JP; Population: 14228; Offences per 100k: 382.24676152049267
- 勝田郡奈義町; Group: JP; Population: 5578; Offences per 100k: 145.05893019038984
- 熊毛郡田布施町; Group: JP; Population: 14483; Offences per 100k: 384.8072400769614
- さぬき市; Group: JP; Population: 47003; Offences per 100k: 419.4101199603139
- 高岡郡津野町; Group: JP; Population: 5291; Offences per 100k: 366.5123456790123
- 筑紫野市; Group: JP; Population: 106375; Offences per 100k: 699.828673
- 田川郡香春町; Group: JP; Population: 10191; Offences per 100k: 542.0598273439068
- 三養基郡みやき町; Group: JP; Population: 25511; Offences per 100k: 640.2048655569782
- 玉名郡玉東町; Group: JP; Population: 5045; Offences per 100k: 116.32415664986429
- 球磨郡多良木町; Group: JP; Population: 9076; Offences per 100k: 396.5869486840524
- 薩摩川内市; Group: JP; Population: 92403; Offences per 100k: 551
- 大島郡知名町; Group: JP; Population: 5750; Offences per 100k: 551
- Tokyo; Group: JP; Population: 14077552; Offences per 100k: 700.7
- Pohang; Group: KR; Population: 491581; Offences per 100k: 2803.221683
- Incheon; Group: KR; Population: 3021010; Offences per 100k: 3072.543627
- Seongnam-si; Group: KR; Population: 913009; Offences per 100k: 3168.55991
- 마포구; Group: KR; Population: 356487; Offences per 100k: 3783.588181
- 동구; Group: KR; Population: 105200; Offences per 100k: 3850.760456
- 사상구; Group: KR; Population: 192475; Offences per 100k: 3642.550981
- 옹진군; Group: KR; Population: 19340; Offences per 100k: 3060
- 성남시; Group: KR; Population: 902344; Offences per 100k: 3212.411231
- 단원구; Group: KR; Population: 288467; Offences per 100k: 3030
- 파주시; Group: KR; Population: 533387; Offences per 100k: 2969.701174
- 제천시; Group: KR; Population: 128192; Offences per 100k: 2738.080379
- 계룡시; Group: KR; Population: 45959; Offences per 100k: 3150
- 영천시; Group: KR; Population: 94107; Offences per 100k: 2870
- 의창구; Group: KR; Population: 209377; Offences per 100k: 2940
- 하동군; Group: KR; Population: 39596; Offences per 100k: 2940
- 평창군; Group: KR; Population: 39897; Offences per 100k: 2990
- 진안군; Group: KR; Population: 24689; Offences per 100k: 2880
- Silute; Group: LT; Population: 37906; Offences per 100k: 1408.3
- Kupiskis; Group: LT; Population: 15092; Offences per 100k: 1125.9
- Alytus; Group: LT; Population: 49940; Offences per 100k: 1565.1
- Kretingos municipality; Group: LT; Population: 37206; Offences per 100k: 849.1
- Alūksne; Group: LV; Population: 6104; Offences per 100k: 1958
- Saldus; Group: LV; Population: 9492; Offences per 100k: 1579
- Steenwijk; Group: NL; Population: 17590; Offences per 100k: 3070
- Nieuw-Bergen; Group: NL; Population: 4650; Offences per 100k: 3110
- Groesbeek; Group: NL; Population: 13260; Offences per 100k: 3040
- Beilen; Group: NL; Population: 9415; Offences per 100k: 1990
- Ommen; Group: NL; Population: 19365; Offences per 100k: 2650
- Soest; Group: NL; Population: 47853; Offences per 100k: 3260
- Noord-Beveland; Group: NL; Population: 8067; Offences per 100k: 3530
- Wageningen; Group: NL; Population: 42779; Offences per 100k: 3350
- Berg en Dal; Group: NL; Population: 35700; Offences per 100k: 2880
- Kampen; Group: NL; Population: 56835; Offences per 100k: 2670
- Het Hogeland; Group: NL; Population: 48073; Offences per 100k: 2380
- Leiden; Group: NL; Population: 130328; Offences per 100k: 5290
- Duiven; Group: NL; Population: 24852; Offences per 100k: 2730
- Westerveld; Group: NL; Population: 20035; Offences per 100k: 1930
- Opsterland; Group: NL; Population: 30068; Offences per 100k: 1830
- Heumen; Group: NL; Population: 16978; Offences per 100k: 2700
- Vaals; Group: NL; Population: 10106; Offences per 100k: 3850
- Horst aan de Maas; Group: NL; Population: 44821; Offences per 100k: 3510
- Boxtel; Group: NL; Population: 34302; Offences per 100k: 3260
- Heusden; Group: NL; Population: 46689; Offences per 100k: 2570
- Valkenswaard; Group: NL; Population: 31920; Offences per 100k: 3430
- Drechterland; Group: NL; Population: 20550; Offences per 100k: 2240
- Opmeer; Group: NL; Population: 12669; Offences per 100k: 2160
- Ål; Group: NO; Population: 5106; Offences per 100k: 3870
- Bergen; Group: NO; Population: 294860; Offences per 100k: 6410
- Frogn; Group: NO; Population: 16429; Offences per 100k: 4660
- Harstad; Group: NO; Population: 25204; Offences per 100k: 5060
- Kragerø; Group: NO; Population: 10378; Offences per 100k: 9180
- Lyngdal; Group: NO; Population: 10922; Offences per 100k: 4810
- Nome; Group: NO; Population: 6529; Offences per 100k: 4450
- Råde; Group: NO; Population: 7892; Offences per 100k: 5660
- Sogndal; Group: NO; Population: 12552; Offences per 100k: 4100
- Surnadal; Group: NO; Population: 5982; Offences per 100k: 2420
- Vefsn; Group: NO; Population: 13481; Offences per 100k: 4880
- Dargaville; Group: NZ; Population: 5170; Offences per 100k: 3466.42
- Te Awamutu; Group: NZ; Population: 13380; Offences per 100k: 4311.9
- Inglewood; Group: NZ; Population: 3970; Offences per 100k: 3467.26
- Blenheim; Group: NZ; Population: 28788; Offences per 100k: 3427.17
- Balclutha; Group: NZ; Population: 4347; Offences per 100k: 2648.94
- Żarów; Group: PL; Population: 11948; Offences per 100k: 1973
- Wilkowice; Group: PL; Population: 13199; Offences per 100k: 1107
- Trzcianka; Group: PL; Population: 23155; Offences per 100k: 1416
- Sułkowice; Group: PL; Population: 15274; Offences per 100k: 1098
- Solec Kujawski; Group: PL; Population: 16157; Offences per 100k: 1237
- Rogoźno; Group: PL; Population: 17936; Offences per 100k: 1563
- Pobiedziska; Group: PL; Population: 21614; Offences per 100k: 1306
- Otmuchów; Group: PL; Population: 12553; Offences per 100k: 1863
- Nakło nad Notecią; Group: PL; Population: 29279; Offences per 100k: 2563
- Lubsko; Group: PL; Population: 16874; Offences per 100k: 2021
- Kruszwica; Group: PL; Population: 17329; Offences per 100k: 1982.9999999999998
- Kluczbork; Group: PL; Population: 33206; Offences per 100k: 2866
- Janowiec Wielkopolski; Group: PL; Population: 8318; Offences per 100k: 1562
- Głubczyce; Group: PL; Population: 20285; Offences per 100k: 1512
- Czaniec; Group: PL; Population: 15350; Offences per 100k: 1107
- Bogatynia; Group: PL; Population: 20738; Offences per 100k: 3978
- Wieliczka; Group: PL; Population: 26599; Offences per 100k: 1032
- Sokółka; Group: PL; Population: 23417; Offences per 100k: 1563
- Piwniczna-Zdrój; Group: PL; Population: 9750; Offences per 100k: 10111
- Niepołomice; Group: PL; Population: 15697; Offences per 100k: 1032
- Lesko; Group: PL; Population: 10610; Offences per 100k: 1414
- Jabłonna; Group: PL; Population: 23963; Offences per 100k: 1882
- Choroszcz; Group: PL; Population: 19058; Offences per 100k: 1005.0000000000001
- Bełchatów; Group: PL; Population: 60485; Offences per 100k: 1679
- Chełmża; Group: PL; Population: 14045; Offences per 100k: 1289
- Garwolin; Group: PL; Population: 17279; Offences per 100k: 1407
- Inowrocław; Group: PL; Population: 76086; Offences per 100k: 1982.9999999999998
- Konin; Group: PL; Population: 78525; Offences per 100k: 4549
- Legnica; Group: PL; Population: 103238; Offences per 100k: 4859
- Marki; Group: PL; Population: 42252; Offences per 100k: 2082
- Opole; Group: PL; Population: 122625; Offences per 100k: 2452
- Poznań; Group: PL; Population: 534239; Offences per 100k: 2539
- Reda; Group: PL; Population: 28190; Offences per 100k: 1664
- Słupsk; Group: PL; Population: 95882; Offences per 100k: 2846
- Tarnowskie Góry; Group: PL; Population: 60847; Offences per 100k: 1889
- Wrocław; Group: PL; Population: 672601; Offences per 100k: 2879
- Żywiec; Group: PL; Population: 30334; Offences per 100k: 2201
- São Romão; Group: PT; Population: 2259; Offences per 100k: 3330
- Coruche; Group: PT; Population: 19944; Offences per 100k: 4300
- Ribeira de Pena; Group: PT; Population: 6544; Offences per 100k: 2500
- Pedrógão Grande; Group: PT; Population: 1046; Offences per 100k: 3260
- Vila Nova de Cerveira; Group: PT; Population: 9253; Offences per 100k: 4130
- Viana do Castelo; Group: PT; Population: 88725; Offences per 100k: 2580
- São Vicente; Group: PT; Population: 38; Offences per 100k: 2480
- Vagos; Group: PT; Population: 22851; Offences per 100k: 2390
- Aveiro; Group: PT; Population: 91397; Offences per 100k: 2990
- Serpa; Group: PT; Population: 15623; Offences per 100k: 2920
- Vila Verde; Group: PT; Population: 47888; Offences per 100k: 2760
- Arouca; Group: PT; Population: 22359; Offences per 100k: 2000
- Paredes; Group: PT; Population: 86854; Offences per 100k: 2090
- Praia da Vitória; Group: PT; Population: 21035; Offences per 100k: 3820
- Avis; Group: PT; Population: 5007; Offences per 100k: 8080
- Santa Comba Dão; Group: PT; Population: 11597; Offences per 100k: 2190
- Oeiras; Group: PT; Population: 171658; Offences per 100k: 2380
- Manteigas; Group: PT; Population: 2248; Offences per 100k: 2300
- Santiago do Cacém; Group: PT; Population: 29749; Offences per 100k: 3320
- Zetea; Group: RO; Population: 5996; Offences per 100k: 1474
- Vişina; Group: RO; Population: 3774; Offences per 100k: 1401
- Vedea; Group: RO; Population: 2553; Offences per 100k: 2021
- Urlaţi; Group: RO; Population: 11064; Offences per 100k: 1182
- Tufeşti; Group: RO; Population: 4721; Offences per 100k: 2151
- Târnova; Group: RO; Population: 6056; Offences per 100k: 1431
- Teiuş; Group: RO; Population: 6865; Offences per 100k: 1451
- Suciu de Sus; Group: RO; Population: 3756; Offences per 100k: 1359
- Şirna; Group: RO; Population: 4444; Offences per 100k: 1182
- Sihlea; Group: RO; Population: 5013; Offences per 100k: 1710
- Sascut; Group: RO; Population: 9491; Offences per 100k: 1455
- Ruscova; Group: RO; Population: 5522; Offences per 100k: 1359
- Rediu; Group: RO; Population: 10020; Offences per 100k: 2190
- Prejmer; Group: RO; Population: 9870; Offences per 100k: 2552
- Podoleni; Group: RO; Population: 5269; Offences per 100k: 1423
- Petricani; Group: RO; Population: 6123; Offences per 100k: 1423
- Oţelu Roşu; Group: RO; Population: 11564; Offences per 100k: 1891
- Nimigea de Sus; Group: RO; Population: 5323; Offences per 100k: 1325
- Moroeni; Group: RO; Population: 4984; Offences per 100k: 1401
- Mihail Kogălniceanu; Group: RO; Population: 3068; Offences per 100k: 2007
- Marghita; Group: RO; Population: 16448; Offences per 100k: 1663
- Lunca de Jos; Group: RO; Population: 5566; Offences per 100k: 1474
- Lechinţa; Group: RO; Population: 6089; Offences per 100k: 1325
- Însurăţei; Group: RO; Population: 6609; Offences per 100k: 2151
- Haţeg; Group: RO; Population: 10215; Offences per 100k: 2703
- Gorgota; Group: RO; Population: 4651; Offences per 100k: 1182
- Fundulea; Group: RO; Population: 6428; Offences per 100k: 1244
- Felnac; Group: RO; Population: 3205; Offences per 100k: 1431
- Duda; Group: RO; Population: 4043; Offences per 100k: 2782
- Dofteana; Group: RO; Population: 11039; Offences per 100k: 1455
- Dancu; Group: RO; Population: 7437; Offences per 100k: 2190
- Coşoveni; Group: RO; Population: 3428; Offences per 100k: 1271
- Copşa Mică; Group: RO; Population: 5614; Offences per 100k: 1614
- Cârţa; Group: RO; Population: 2680; Offences per 100k: 1474
- Cernavodă; Group: RO; Population: 17570; Offences per 100k: 2062
- Cajvana; Group: RO; Population: 10470; Offences per 100k: 1766
- Brebu Mânăstirei; Group: RO; Population: 6779; Offences per 100k: 1182
- Borca; Group: RO; Population: 6289; Offences per 100k: 1423
- Bereşti-Tazlău; Group: RO; Population: 5406; Offences per 100k: 1455
- Banca; Group: RO; Population: 5228; Offences per 100k: 2782
- Baciu; Group: RO; Population: 14782; Offences per 100k: 1353
- Aleşd; Group: RO; Population: 10927; Offences per 100k: 1663
- 1 Decembrie; Group: RO; Population: 8861; Offences per 100k: 1597
- Mullsjö; Group: SE; Population: 7546; Offences per 100k: 6658
- Bålsta; Group: SE; Population: 16205; Offences per 100k: 10644
- Nacka; Group: SE; Population: 112112; Offences per 100k: 9985
- Stockholm; Group: SE; Population: 999239; Offences per 100k: 19159
- Karlskrona; Group: SE; Population: 66301; Offences per 100k: 10419
- Mjölby; Group: SE; Population: 28695; Offences per 100k: 9997
- Köping; Group: SE; Population: 25729; Offences per 100k: 11594
- Båstad; Group: SE; Population: 16026; Offences per 100k: 9572
- Finspång; Group: SE; Population: 21623; Offences per 100k: 9405
- Höganäs; Group: SE; Population: 28430; Offences per 100k: 6985
- Askersund; Group: SE; Population: 11477; Offences per 100k: 7384
- Vänersborg; Group: SE; Population: 40041; Offences per 100k: 10372
- Svedala; Group: SE; Population: 23581; Offences per 100k: 7362
- Olofström; Group: SE; Population: 13000; Offences per 100k: 11546
- Gorenja vas - Poljane; Group: SI; Population: 7739; Offences per 100k: 1920
- Kranjska Gora; Group: SI; Population: 5143; Offences per 100k: 1920
- Moravske Toplice; Group: SI; Population: 5967; Offences per 100k: 1489
- Ribnica; Group: SI; Population: 9825; Offences per 100k: 4016
- Trbovlje; Group: SI; Population: 15935; Offences per 100k: 4016
- Polzela; Group: SI; Population: 6668; Offences per 100k: 1924
- Veľký Krtíš; Group: SK; Population: 10049; Offences per 100k: 1000
- Skalité; Group: SK; Population: 5211; Offences per 100k: 700
- Podunajské Biskupice; Group: SK; Population: 22998; Offences per 100k: 900
- Lučenec; Group: SK; Population: 24427; Offences per 100k: 1400
- Hlohovec; Group: SK; Population: 19214; Offences per 100k: 800
- Bernolákovo; Group: SK; Population: 10296; Offences per 100k: 1000
- Sobrance; Group: SK; Population: 5748; Offences per 100k: 900
- Kežmarok; Group: SK; Population: 14984; Offences per 100k: 800
- Chadderton; Group: UK; Population: 37610; Offences per 100k: 10664.255048497376
- Castle Vale; Group: UK; Population: 9935; Offences per 100k: 11415.845314958035
- Bennetts End; Group: UK; Population: 6031; Offences per 100k: 6592.1199355718
- Wolverhampton; Group: UK; Population: 234025; Offences per 100k: 9197.833963
- Willesden; Group: UK; Population: 18957; Offences per 100k: 8932.052037532298
- Whaley Bridge; Group: UK; Population: 4615; Offences per 100k: 5913.50493154558
- Wellington; Group: UK; Population: 23000; Offences per 100k: 7298.215889605618
- Wallsend; Group: UK; Population: 45355; Offences per 100k: 8175.793512382282
- Tranent; Group: UK; Population: 11910; Offences per 100k: 4822.885918
- Taunton; Group: UK; Population: 61665; Offences per 100k: 8408.064888973497
- Stretford; Group: UK; Population: 28015; Offences per 100k: 7485.945441344259
- Stirling; Group: UK; Population: 37910; Offences per 100k: 4492.092135
- Southport; Group: UK; Population: 94440; Offences per 100k: 7552.02056720495
- Shrewsbury; Group: UK; Population: 76015; Offences per 100k: 4756.433201485916
- Sauchie; Group: UK; Population: 6310; Offences per 100k: 8109.76779888697
- Ryde; Group: UK; Population: 24105; Offences per 100k: 7606.946209233375
- Risca; Group: UK; Population: 15195; Offences per 100k: 8533.627343
- Rainham; Group: UK; Population: 13585; Offences per 100k: 36.56182194051016
- Porthcawl; Group: UK; Population: 15795; Offences per 100k: 7010.099641
- Penicuik; Group: UK; Population: 16150; Offences per 100k: 4992.99159
- Oakengates; Group: UK; Population: 9959; Offences per 100k: 7298.215889605618
- New Romney; Group: UK; Population: 3870; Offences per 100k: 7453.8968606275175
- Narborough; Group: UK; Population: 8700; Offences per 100k: 5920.584292516064
- Middlesbrough; Group: UK; Population: 148215; Offences per 100k: 15327.07
- Macclesfield; Group: UK; Population: 54345; Offences per 100k: 6098.533579556513
- Llanharan; Group: UK; Population: 8966; Offences per 100k: 7654.995096350093
- Leicester; Group: UK; Population: 406580; Offences per 100k: 11001.472906
- Kirby Muxloe; Group: UK; Population: 4793; Offences per 100k: 5920.584292516064
- Kenley; Group: UK; Population: 10985; Offences per 100k: 8037.289112771228
- Ilkeston; Group: UK; Population: 38725; Offences per 100k: 7435.253341268938
- Horley; Group: UK; Population: 27070; Offences per 100k: 5976.724018751493
- Heswall; Group: UK; Population: 29075; Offences per 100k: 7108.519093996771
- Haverhill; Group: UK; Population: 26705; Offences per 100k: 4661.70232630907
- Harefield; Group: UK; Population: 5741; Offences per 100k: 9161.413794674727
- Greenford; Group: UK; Population: 17384; Offences per 100k: 8050.830990841614
- Goole; Group: UK; Population: 20175; Offences per 100k: 5139.877038585607
- Fulwood; Group: UK; Population: 34690; Offences per 100k: 9692.648667022608
- Felling; Group: UK; Population: 8891; Offences per 100k: 8777.372262773722
- Epsom; Group: UK; Population: 35850; Offences per 100k: 6704.447219287292
- East Kilbride; Group: UK; Population: 75310; Offences per 100k: 5010.627788
- Dronfield; Group: UK; Population: 21160; Offences per 100k: 5488.250848601916
- Daventry; Group: UK; Population: 27790; Offences per 100k: 3983.8201401627393
- Crawley; Group: UK; Population: 120550; Offences per 100k: 10917.741935
- Cockenzie; Group: UK; Population: 5370; Offences per 100k: 4822.885918
- Chester; Group: UK; Population: 92760; Offences per 100k: 6678.828581576313
- Castleford; Group: UK; Population: 45355; Offences per 100k: 10575.631143483488
- Buxton; Group: UK; Population: 20050; Offences per 100k: 5913.50493154558
- Broughton; Group: UK; Population: 2170; Offences per 100k: 6347.077957489399
- Brechin; Group: UK; Population: 7230; Offences per 100k: 4253.984845
- Bognor Regis; Group: UK; Population: 68435; Offences per 100k: 7057.931131809201
- Billinge; Group: UK; Population: 4970; Offences per 100k: 8635.980959541674
- Bebington; Group: UK; Population: 57600; Offences per 100k: 7108.519093996771
- Bangor; Group: UK; Population: 16990; Offences per 100k: 6969.448652
- Ardrossan; Group: UK; Population: 10500; Offences per 100k: 5435.415268
- Abergavenny; Group: UK; Population: 13695; Offences per 100k: 6415.253345
- Bewbush; Group: UK; Population: 11239; Offences per 100k: 10917.037610476742
- Benwell; Group: UK; Population: 13000; Offences per 100k: 10738.13571216918
- Bartley Green; Group: UK; Population: 22670; Offences per 100k: 11415.845314958035
- Norbiton; Group: UK; Population: 11187; Offences per 100k: 6678.36379218493
- Amble; Group: UK; Population: 5860; Offences per 100k: 6930.480961
- Bagillt; Group: UK; Population: 5945; Offences per 100k: 6347.077957
- Bayston Hill; Group: UK; Population: 5220; Offences per 100k: 4756.433201
- Blackfield and Langley; Group: UK; Population: 5845; Offences per 100k: 5285.720775
- Bramhall; Group: UK; Population: 17195; Offences per 100k: 7476.41719
- Bude; Group: UK; Population: 7350; Offences per 100k: 6273.04818
- Cambourne; Group: UK; Population: 11075; Offences per 100k: 4689.818249
- Chipping Norton; Group: UK; Population: 6985; Offences per 100k: 4277.292233
- Corsham; Group: UK; Population: 10890; Offences per 100k: 4925.720833
- Crosby (Sefton); Group: UK; Population: 50215; Offences per 100k: 7552.02056720495
- Dodworth; Group: UK; Population: 5975; Offences per 100k: 9507.089804
- Edwinstowe; Group: UK; Population: 5325; Offences per 100k: 6844.377023
- Flint; Group: UK; Population: 12780; Offences per 100k: 6347.077957
- Great Dunmow; Group: UK; Population: 10395; Offences per 100k: 5116.396442
- Haxby; Group: UK; Population: 10180; Offences per 100k: 6570.441613
- Heysham; Group: UK; Population: 16585; Offences per 100k: 7285.215784
- Houghton-le-Spring; Group: UK; Population: 12555; Offences per 100k: 9357.74031
- Kibworth Beauchamp and Kibworth Harcourt; Group: UK; Population: 7330; Offences per 100k: 4438.799385
- Leominster; Group: UK; Population: 11205; Offences per 100k: 5035.410135
- Long Sutton (South Holland); Group: UK; Population: 5375; Offences per 100k: 6049.46726
- Marple; Group: UK; Population: 12970; Offences per 100k: 7476.41719
- Morpeth; Group: UK; Population: 14420; Offences per 100k: 6930.480961
- North Anston; Group: UK; Population: 6605; Offences per 100k: 9308.555831
- Partington; Group: UK; Population: 7710; Offences per 100k: 7485.945441
- Platt Bridge and Abram; Group: UK; Population: 10590; Offences per 100k: 9096.549365
- Ramsey; Group: UK; Population: 5730; Offences per 100k: 5591.782561
- Ruthin; Group: UK; Population: 5700; Offences per 100k: 9471.293864
- Selston; Group: UK; Population: 6275; Offences per 100k: 7965.4555
- Shrivenham and Watchfield; Group: UK; Population: 5350; Offences per 100k: 4636.852431
- Stakeford; Group: UK; Population: 8190; Offences per 100k: 6930.480961
- Tavistock; Group: UK; Population: 12670; Offences per 100k: 4628.839959
- Treherbert; Group: UK; Population: 5425; Offences per 100k: 7654.995096
- Wantage; Group: UK; Population: 13105; Offences per 100k: 4636.852431
- West Moors; Group: UK; Population: 10425; Offences per 100k: 4450.890178
- Withernsea; Group: UK; Population: 5765; Offences per 100k: 5139.877039
- Fountainebleau; Group: US; Population: 59870; Offences per 100k: 2740.1
- Camilla; Group: US; Population: 5029; Offences per 100k: 1678.846534
- Aspen Hill; Group: US; Population: 51063; Offences per 100k: 3458
- Nelsonville; Group: US; Population: 4555; Offences per 100k: 2715.939448
- Centreville; Group: US; Population: 73518; Offences per 100k: 3348.63
- Ledyard; Group: US; Population: 118; Offences per 100k: 284.182652
- West Torrington; Group: US; Population: 35673; Offences per 100k: 1297.865794
- Barnstable; Group: US; Population: 49568; Offences per 100k: 1195.805844
- Harwich; Group: US; Population: 1995; Offences per 100k: 625.449317
- Milford; Group: US; Population: 26971; Offences per 100k: 1188.350271
- Stoneham; Group: US; Population: 23244; Offences per 100k: 763.819963
- North Bath; Group: US; Population: 8817; Offences per 100k: 906.002265
- Hanover; Group: US; Population: 9078; Offences per 100k: 450.849368
- Mountainside; Group: US; Population: 7228; Offences per 100k: 354.459095
- Bridgeville; Group: US; Population: 4620; Offences per 100k: 1116.95138
- Tiverton; Group: US; Population: 7809; Offences per 100k: 748.068006
- Vail; Group: US; Population: 4466; Offences per 100k: 4315.408947
- City of Sammamish; Group: US; Population: 66474; Offences per 100k: 304.974711
- Attalla; Group: US; Population: 5807; Offences per 100k: 3956.64889
- Eufaula; Group: US; Population: 12437; Offences per 100k: 3297.060257
- Hueytown; Group: US; Population: 16159; Offences per 100k: 3091.238369
- Mountain Brook; Group: US; Population: 21661; Offences per 100k: 837.754817
- Rainsville; Group: US; Population: 6020; Offences per 100k: 444.520431
- Trussville; Group: US; Population: 27273; Offences per 100k: 2110.221035
- Wasilla; Group: US; Population: 10556; Offences per 100k: 2871.09375
- Glendale; Group: US; Population: 260572; Offences per 100k: 3159.147124
- Prescott Valley; Group: US; Population: 52423; Offences per 100k: 993.817983
- Alma; Group: US; Population: 6071; Offences per 100k: 1486.866017
- De Queen; Group: US; Population: 6045; Offences per 100k: 1933.977993
- Magnolia; Group: US; Population: 10660; Offences per 100k: 3042.253521
- Searcy; Group: US; Population: 24351; Offences per 100k: 2667.164427
- Agoura Hills; Group: US; Population: 19243; Offences per 100k: 1019.293775
- Auburn; Group: US; Population: 13847; Offences per 100k: 1042.737553
- Brea; Group: US; Population: 47260; Offences per 100k: 3075.601726
- Carson; Group: US; Population: 90808; Offences per 100k: 3350.897323
- Colton; Group: US; Population: 53383; Offences per 100k: 2498.447877
- Daly City; Group: US; Population: 101261; Offences per 100k: 2104.523657
- El Cerrito; Group: US; Population: 26121; Offences per 100k: 3524.229075
- Fort Bragg; Group: US; Population: 6946; Offences per 100k: 3332.850312
- Grass Valley; Group: US; Population: 14035; Offences per 100k: 2686.567164
- Hollister; Group: US; Population: 45695; Offences per 100k: 1163.810108
- La Cañada Flintridge; Group: US; Population: 19480; Offences per 100k: 1606.947839
- La Quinta; Group: US; Population: 39440; Offences per 100k: 2122.116552
- Los Altos Hills; Group: US; Population: 8419; Offences per 100k: 407.810183
- Menlo Park; Group: US; Population: 32713; Offences per 100k: 2009.532397
- Murrieta; Group: US; Population: 114124; Offences per 100k: 1127.313266
- Orinda; Group: US; Population: 19507; Offences per 100k: 937.144041
- Petaluma; Group: US; Population: 59688; Offences per 100k: 1444.617305
- Rancho Palos Verdes; Group: US; Population: 39654; Offences per 100k: 974.82756
- Rolling Hills Estates; Group: US; Population: 7948; Offences per 100k: 1646.142247
- San Jose; Group: US; Population: 989814; Offences per 100k: 3194.7
- Santa Monica; Group: US; Population: 90082; Offences per 100k: 5568.421999
- Solvang; Group: US; Population: 5944; Offences per 100k: 996.116833
- Tiburon; Group: US; Population: 8881; Offences per 100k: 1165.581076
- Walnut; Group: US; Population: 27316; Offences per 100k: 2018.575388
- Yorba Linda; Group: US; Population: 65632; Offences per 100k: 858.421543
- Centennial; Group: US; Population: 108658; Offences per 100k: 1881.563868
- Fort Collins; Group: US; Population: 171500; Offences per 100k: 2428.024327
- Lamar; Group: US; Population: 7588; Offences per 100k: 522.228174
- Sheridan; Group: US; Population: 5972; Offences per 100k: 7905.544148
- Hartford; Group: US; Population: 121981; Offences per 100k: 3361.309414
- Middletown; Group: US; Population: 25798; Offences per 100k: 1668.359772
- Belleview; Group: US; Population: 6156; Offences per 100k: 2753.600253
- Davie; Group: US; Population: 110851; Offences per 100k: 2199.6
- Green Cove Springs; Group: US; Population: 10079; Offences per 100k: 1261.954057
- Lake Park; Group: US; Population: 9125; Offences per 100k: 5346.491704
- Neptune Beach; Group: US; Population: 7020; Offences per 100k: 1330.281791
- Palm Beach; Group: US; Population: 9423; Offences per 100k: 1245.290917
- St. Cloud; Group: US; Population: 71036; Offences per 100k: 805.1811657622966
- Tamarac; Group: US; Population: 74134; Offences per 100k: 1715.1589786198608
- Albany; Group: US; Population: 66907; Offences per 100k: 2431.652284
- Cedartown; Group: US; Population: 10514; Offences per 100k: 2360.224415
- Dunwoody; Group: US; Population: 51792; Offences per 100k: 3497.449374
- Hiram; Group: US; Population: 5520; Offences per 100k: 5171.158048
- Milledgeville; Group: US; Population: 16835; Offences per 100k: 3889.093363
- Rome; Group: US; Population: 38934; Offences per 100k: 3975.743001
- Temple; Group: US; Population: 6406; Offences per 100k: 1038.619075
- Emmett; Group: US; Population: 8900; Offences per 100k: 752.908966
- Rathdrum; Group: US; Population: 13227; Offences per 100k: 914.414053
- Bartonville; Group: US; Population: 5804; Offences per 100k: 2408.376963
- Buffalo Grove; Group: US; Population: 42812; Offences per 100k: 737.885202
- Chicago; Group: US; Population: 2731585; Offences per 100k: 4012.2
- Decatur; Group: US; Population: 67884; Offences per 100k: 3469.543969
- Evanston; Group: US; Population: 76380; Offences per 100k: 2883.604303
- Glenview; Group: US; Population: 47711; Offences per 100k: 1360.764271
- Highland Park; Group: US; Population: 30767; Offences per 100k: 861.073538
- La Grange Park; Group: US; Population: 13453; Offences per 100k: 699.083424
- Lockport; Group: US; Population: 27822; Offences per 100k: 659.967002
- Milan; Group: US; Population: 5028; Offences per 100k: 2231.689998
- Naperville; Group: US; Population: 153114; Offences per 100k: 967.306887
- Orland Park; Group: US; Population: 57954; Offences per 100k: 1125.580902
- Pontiac; Group: US; Population: 10806; Offences per 100k: 1597.006753
- Rolling Meadows; Group: US; Population: 23690; Offences per 100k: 1373.662088
- South Elgin; Group: US; Population: 25656; Offences per 100k: 855.855856
- University Park; Group: US; Population: 7043; Offences per 100k: 2025.862069
- Willow Springs; Group: US; Population: 5788; Offences per 100k: 390.140096
- Auburn; Group: US; Population: 14068; Offences per 100k: 428.265525
- Columbia City; Group: US; Population: 10256; Offences per 100k: 991.557039
- Gary; Group: US; Population: 67289; Offences per 100k: 4446.627081566142
- Lawrence; Group: US; Population: 50420; Offences per 100k: 2020.325203
- New Haven; Group: US; Population: 16337; Offences per 100k: 1292.085973
- Sheridan; Group: US; Population: 3487; Offences per 100k: 1254.180602
- Adel; Group: US; Population: 6763; Offences per 100k: 714.611525
- Clarinda; Group: US; Population: 5273; Offences per 100k: 1305.334847
- Fort Madison; Group: US; Population: 9935; Offences per 100k: 1987.153754
- Mount Pleasant; Group: US; Population: 8500; Offences per 100k: 1110.978378
- Sioux City; Group: US; Population: 86356; Offences per 100k: 3879.315374
- Atchison; Group: US; Population: 10789; Offences per 100k: 1480.573369
- Hays; Group: US; Population: 21258; Offences per 100k: 1694.350578
- Mission; Group: US; Population: 10125; Offences per 100k: 4911.826243
- Topeka; Group: US; Population: 125795; Offences per 100k: 4499.185017
- Danville; Group: US; Population: 17736; Offences per 100k: 1154.774216
- Highland Heights; Group: US; Population: 6341; Offences per 100k: 1044.82132
- Monticello; Group: US; Population: 5721; Offences per 100k: 876.270592
- Shelbyville; Group: US; Population: 18453; Offences per 100k: 1141.488947
- Broussard; Group: US; Population: 15799; Offences per 100k: 2348.047766
- Opelousas; Group: US; Population: 15098; Offences per 100k: 6387.997117
- Auburn; Group: US; Population: 25441; Offences per 100k: 2643.981149
- South Portland; Group: US; Population: 27007; Offences per 100k: 1433.292488
- Easton; Group: US; Population: 17293; Offences per 100k: 2380.125087
- New Carrollton; Group: US; Population: 13644; Offences per 100k: 1938.100962
- Brockton; Group: US; Population: 106134; Offences per 100k: 1944.678856
- Lynn; Group: US; Population: 104236; Offences per 100k: 1745.155039
- Somerville; Group: US; Population: 84211; Offences per 100k: 1920.113495
- Ann Arbor; Group: US; Population: 122233; Offences per 100k: 2018.21648
- Coldwater; Group: US; Population: 14216; Offences per 100k: 1581.243184
- Flushing; Group: US; Population: 8175; Offences per 100k: 634.765625
- Hastings; Group: US; Population: 7490; Offences per 100k: 1584.764949
- Lincoln Park; Group: US; Population: 38529; Offences per 100k: 2447.011973
- New Baltimore; Group: US; Population: 12123; Offences per 100k: 443.106764
- Romulus; Group: US; Population: 24547; Offences per 100k: 2942.97228
- Three Rivers; Group: US; Population: 7910; Offences per 100k: 4813.371874
- Alexandria; Group: US; Population: 15045; Offences per 100k: 1810.2537
- Champlin; Group: US; Population: 23125; Offences per 100k: 1251.553346
- Elk River; Group: US; Population: 27896; Offences per 100k: 1096.097175
- Isanti; Group: US; Population: 7714; Offences per 100k: 570.291777
- Minnetonka; Group: US; Population: 53969; Offences per 100k: 1754.115722
- Princeton; Group: US; Population: 5329; Offences per 100k: 2454.780362
- St. Peter; Group: US; Population: 12456; Offences per 100k: 630.965863
- Worthington; Group: US; Population: 13979; Offences per 100k: 1205.353842
- Forest; Group: US; Population: 5433; Offences per 100k: 1586.391437
- Oxford; Group: US; Population: 26773; Offences per 100k: 1979.730466
- Arnold; Group: US; Population: 20994; Offences per 100k: 873.362445
- Carthage; Group: US; Population: 15895; Offences per 100k: 1459.900958
- Ferguson; Group: US; Population: 17953; Offences per 100k: 4210.821419
- Kansas City; Group: US; Population: 521220; Offences per 100k: 6223.230082
- Moberly; Group: US; Population: 13719; Offences per 100k: 1340.299864
- Perryville; Group: US; Population: 8593; Offences per 100k: 1189.775003
- St. Robert; Group: US; Population: 5511; Offences per 100k: 2775.290958
- Waynesville; Group: US; Population: 5558; Offences per 100k: 1391.177009
- Lewistown; Group: US; Population: 6179; Offences per 100k: 1851.851852
- Holdrege; Group: US; Population: 5555; Offences per 100k: 269.735659
- South Sioux City; Group: US; Population: 14158; Offences per 100k: 2833.128034
- Dover; Group: US; Population: 34623; Offences per 100k: 833.926876
- Beachwood borough; Group: US; Population: 11242; Offences per 100k: 824.43808
- Cliffside Park borough; Group: US; Population: 26183; Offences per 100k: 769.967439
- Fair Lawn borough; Group: US; Population: 36489; Offences per 100k: 981.437437
- Haddon Heights borough; Group: US; Population: 7588; Offences per 100k: 494.662848
- Keyport borough; Group: US; Population: 7182; Offences per 100k: 1781.674208
- Middlesex borough; Group: US; Population: 14874; Offences per 100k: 569.399786
- North Haledon borough; Group: US; Population: 8854; Offences per 100k: 343.563903
- Pine Hill borough; Group: US; Population: 10894; Offences per 100k: 1577.801959
- Rockaway borough; Group: US; Population: 6651; Offences per 100k: 341.043891
- Summit; Group: US; Population: 23314; Offences per 100k: 787.470855
- Wildwood; Group: US; Population: 5068; Offences per 100k: 5275.498242
- Española; Group: US; Population: 10458; Offences per 100k: 946.010511
- Albany; Group: US; Population: 101698; Offences per 100k: 3665.213771
- Canton; Group: US; Population: 6894; Offences per 100k: 277.250839
- Geneseo; Group: US; Population: 7759; Offences per 100k: 799.896788
- Kenmore; Group: US; Population: 14808; Offences per 100k: 1391.409558
- New Rochelle; Group: US; Population: 85864; Offences per 100k: 1239.40678
- Port Chester; Group: US; Population: 32303; Offences per 100k: 675.215062
- Suffern; Group: US; Population: 11796; Offences per 100k: 743.430152
- Apex; Group: US; Population: 80419; Offences per 100k: 765.1574653525552
- Charlotte; Group: US; Population: 964784; Offences per 100k: 4438.5
- Forest City; Group: US; Population: 7410; Offences per 100k: 5817.886619
- Huntersville; Group: US; Population: 68535; Offences per 100k: 1507.178489
- Matthews; Group: US; Population: 32769; Offences per 100k: 2838.77538
- Roanoke Rapids; Group: US; Population: 14386; Offences per 100k: 4276.746913
- Thomasville; Group: US; Population: 27733; Offences per 100k: 2626.702997
- Fargo; Group: US; Population: 136275; Offences per 100k: 4195.103256
- Avon; Group: US; Population: 25611; Offences per 100k: 970.190126
- Brooklyn; Group: US; Population: 11072; Offences per 100k: 6289.193856
- Cincinnati; Group: US; Population: 314367; Offences per 100k: 4674.918726
- Eastlake; Group: US; Population: 17357; Offences per 100k: 1922.520123
- Garfield Heights; Group: US; Population: 28790; Offences per 100k: 2334.118299
- Hudson; Group: US; Population: 23085; Offences per 100k: 510.204082
- Lyndhurst; Group: US; Population: 13522; Offences per 100k: 1188.205956
- Monroe; Group: US; Population: 15880; Offences per 100k: 1638.164813
- Norton; Group: US; Population: 11493; Offences per 100k: 1767.721407
- Port Clinton; Group: US; Population: 5875; Offences per 100k: 1354.784081
- Sidney; Group: US; Population: 20124; Offences per 100k: 2392.486406
- Toronto; Group: US; Population: 5187; Offences per 100k: 407.371484
- Washington Court House; Group: US; Population: 14375; Offences per 100k: 1305.283621
- Youngstown; Group: US; Population: 58832; Offences per 100k: 3440.951572
- Collinsville; Group: US; Population: 9956; Offences per 100k: 839.905767
- Hugo; Group: US; Population: 5082; Offences per 100k: 2480.769231
- Owasso; Group: US; Population: 43117; Offences per 100k: 1533.203589
- Tulsa; Group: US; Population: 416209; Offences per 100k: 4569.302959
- Central Point; Group: US; Population: 19139; Offences per 100k: 1145.893015
- Keizer; Group: US; Population: 39140; Offences per 100k: 2056.904203
- Pendleton; Group: US; Population: 16989; Offences per 100k: 3089.758343
- Tigard; Group: US; Population: 57929; Offences per 100k: 3780.653951
- Bellefonte borough; Group: US; Population: 5986; Offences per 100k: 0
- Carnegie borough; Group: US; Population: 7855; Offences per 100k: 1198.917107
- Darby borough; Group: US; Population: 10749; Offences per 100k: 3457.396561
- Fox Chapel borough; Group: US; Population: 5185; Offences per 100k: 292.45467
- Jeannette; Group: US; Population: 8489; Offences per 100k: 1160.06562
- Meadville; Group: US; Population: 12230; Offences per 100k: 1935.149456
- New Castle; Group: US; Population: 21175; Offences per 100k: 1119.894598
- Pittston; Group: US; Population: 7715; Offences per 100k: 561.577641
- Sharon; Group: US; Population: 12648; Offences per 100k: 2116.610276
- Warren; Group: US; Population: 9046; Offences per 100k: 1835.877018
- East Providence; Group: US; Population: 48249; Offences per 100k: 754.915361
- Clemson; Group: US; Population: 18941; Offences per 100k: 2149.213634
- Greer; Group: US; Population: 50007; Offences per 100k: 2071.713147
- North Charleston; Group: US; Population: 129245; Offences per 100k: 4766.377084
- Aberdeen; Group: US; Population: 27961; Offences per 100k: 1678.331667
- Alcoa; Group: US; Population: 13689; Offences per 100k: 1744.919411
- Cookeville; Group: US; Population: 38212; Offences per 100k: 1954.467354
- Greeneville; Group: US; Population: 16141; Offences per 100k: 2155.552754
- Lenoir City; Group: US; Population: 12530; Offences per 100k: 1950.785171
- Mount Juliet; Group: US; Population: 45172; Offences per 100k: 1123.748553
- Sevierville; Group: US; Population: 19010; Offences per 100k: 3610.926786
- Alamo Heights; Group: US; Population: 7557; Offences per 100k: 3041.216487
- Austin; Group: US; Population: 1002632; Offences per 100k: 3708.8
- Borger; Group: US; Population: 11842; Offences per 100k: 2336.643578
- Caddo Mills; Group: US; Population: 5257; Offences per 100k: 625
- Commerce; Group: US; Population: 9928; Offences per 100k: 1584.323536
- Del Rio; Group: US; Population: 34496; Offences per 100k: 1453.724082
- Euless; Group: US; Population: 60008; Offences per 100k: 2292.757049
- Fulshear; Group: US; Population: 64630; Offences per 100k: 422.297297
- Grapevine; Group: US; Population: 50714; Offences per 100k: 2243.885217
- Hitchcock; Group: US; Population: 7722; Offences per 100k: 2102.714413
- Jarrell; Group: US; Population: 5151; Offences per 100k: 1354.961832
- Krum; Group: US; Population: 6799; Offences per 100k: 492.610837
- Leander; Group: US; Population: 91132; Offences per 100k: 1057.67039
- Lumberton; Group: US; Population: 14123; Offences per 100k: 538.310962
- Mineola; Group: US; Population: 5380; Offences per 100k: 1960.030746
- Odessa; Group: US; Population: 122707; Offences per 100k: 2158.75697
- Pleasanton; Group: US; Population: 11511; Offences per 100k: 2260.135432
- Roanoke; Group: US; Population: 10931; Offences per 100k: 1333.452658
- Sanger; Group: US; Population: 10238; Offences per 100k: 1221.313897
- Socorro; Group: US; Population: 38787; Offences per 100k: 953.899094
- Tomball; Group: US; Population: 15768; Offences per 100k: 2237.151495
- Weatherford; Group: US; Population: 40634; Offences per 100k: 1712.253158
- Bluffdale; Group: US; Population: 19506; Offences per 100k: 689.865071
- Kanab; Group: US; Population: 5291; Offences per 100k: 681.023376
- Perry; Group: US; Population: 6111; Offences per 100k: 1502.393924
- South Ogden; Group: US; Population: 17710; Offences per 100k: 1093.573844
- Rutland; Group: US; Population: 15363; Offences per 100k: 4268.56666
- Covington; Group: US; Population: 5680; Offences per 100k: 1466.859833
- Lexington; Group: US; Population: 7769; Offences per 100k: 587.774295
- Roanoke; Group: US; Population: 99111; Offences per 100k: 4676.018016
- Airway Heights; Group: US; Population: 11811; Offences per 100k: 4268.237426
- Camas; Group: US; Population: 27749; Offences per 100k: 781.108084
- Ephrata; Group: US; Population: 8834; Offences per 100k: 3107.085531
- Lake Stevens; Group: US; Population: 42091; Offences per 100k: 765.853659
- Normandy Park; Group: US; Population: 6609; Offences per 100k: 1379.631065
- Redmond; Group: US; Population: 82506; Offences per 100k: 2870.229377
- Steilacoom; Group: US; Population: 6648; Offences per 100k: 867.844093
- Yakima; Group: US; Population: 97458; Offences per 100k: 2588.829336
- Nitro; Group: US; Population: 6270; Offences per 100k: 3930.81761
- Berlin; Group: US; Population: 5588; Offences per 100k: 533.428165
- Edgerton; Group: US; Population: 6121; Offences per 100k: 339.421367
- Hartford; Group: US; Population: 16005; Offences per 100k: 820.853437
- Mayville; Group: US; Population: 5205; Offences per 100k: 449.131029
- New London; Group: US; Population: 7726; Offences per 100k: 391.25742
- Reedsburg; Group: US; Population: 10641; Offences per 100k: 2011.129552
- Summit; Group: US; Population: 5346; Offences per 100k: 421.940928
- Whitefish Bay; Group: US; Population: 14489; Offences per 100k: 949.301782
Where it breaks down
The relationship first breaks down when population is mistaken for crowding. In the United States, population is +0.28 across 4,359 places, but density is -0.01 across the 3,813 rows with land-area data. Larger US places tend to rank higher on recorded crime, while denser ones do not. The dataset cannot identify what population is marking, but it is not simply residents per square kilometre.
The Netherlands shows the opposite configuration: population is +0.52 across 332 municipalities and density +0.56 across the 321 with land-area data. Belgium is also positive on both measures, +0.44 for population and +0.32 for density. Denmark's density coefficient is +0.60 across 97 complete rows, higher than its +0.42 population coefficient. Sweden is +0.38 for population and +0.23 for density.
Portugal is one of the clearest negative density cases. Its population coefficient is close to flat at -0.05, while density is -0.16 across all 271 municipalities. Spain is +0.21 for population and +0.39 for density, but the density figure uses only 76 of 436 rows, so it may describe a selected subset rather than the full Spanish sample. Canada is negative on both measures, but its density coefficient is only -0.04 and n is 39.
Germany cannot cleanly arbitrate between size and density. Its packet coefficients are +0.19 for population and +0.04 for density, but 98.2% of rows use a district outcome against city-level predictors. Repeating one district rate across several cities both violates independence and gives more influence to districts represented by more city rows. The packet does not contain the district population needed to rebuild a valid district-level size comparison.
The extreme-decile table translates ranks into within-country contrasts. In the United States, the median rate is 1,145.9 per 100,000 in the smallest tenth and 2,565.5 in the largest, a ratio of 2.24. The Netherlands is 2,690 versus 5,520, a ratio of 2.05, and Belgium 4,248.8 versus 8,713.3, a ratio of 2.05. Those numbers remain inside their own reporting systems and cannot be compared across countries.
Canada's largest-city decile has 0.95 times the median of its smallest, and Portugal's ratio is 0.92. Both agree with their negative full-sample signs. The UK now agrees as well: Spearman is +0.19, and the six-city extreme groups produce a ratio of 1.03.
The UK no longer contradicts its own coefficient, but the sample stays fragile. Glasgow contributes a rate of 756.7 from a Scottish source system, while the other large-city observations are mostly from England and Wales. With only 63 rows and mixed recording systems, the packet does not support a stable UK city-size conclusion.
What this means if you are moving
“Choose a smaller town because it is safer” is too coarse to use as relocation advice. City population points in the same direction as recorded crime in many country samples, but the coefficient is weak in some, uncertain in others and built from the wrong geographic grain in Germany. It also says nothing about the offences or neighbourhoods relevant to you.
In the United States, population can be a rough screening clue, but density adds no equivalent signal. In the Netherlands, both size and density align with recorded-crime ranks, so choosing a smaller or less dense municipality may change the prior—but the city's own source record still matters more. In Portugal, population is nearly uninformative and density points modestly in the opposite direction.
A defensible workflow is to shortlist cities using work, housing and climate preferences, then compare their recorded-crime rates only within the same source system, period and geographic grain. Inspect offence categories, neighbourhood data and multi-year trends where available. ImmigrationDB can surface the rate and its metadata; population should remain context, not a substitute for direct city evidence.
Limits
This is a bivariate, cross-sectional analysis. It cannot show that city growth changes recorded crime or identify whether tourism, commuting, city-centre activity, policing intensity, reporting behaviour or administrative boundaries explain a coefficient. None of those mechanisms is measured.
The country samples are not fully comparable or fully independent. Crime definitions differ; dates do not always align; German district outcomes repeat; neighbouring places may share police jurisdictions and regional conditions; and the UK mixes Scottish and England-and-Wales records. Standard correlation tests do not correct for that clustering.
Sample size and coverage differ sharply. The US contributes just over a quarter of the packet, while Lithuania has 30 rows, Canada 39 and the UK 63. Spain's density result covers only 76 rows. The extreme deciles contain only three Canadian or Lithuanian places and six UK places, making those ratios sensitive to individual observations.
The export also contains implausibly small population fields for city-labelled Preston (585) and Weiden (81). They were retained because the packet supplies no verified replacement. Excluding them changes the corresponding country coefficients only modestly, but their presence confirms that entity and denominator quality must be checked before city-level use.
The unadjusted significance check is descriptive only: no confidence intervals, spatial model, multiple-comparison correction or causal controls are supplied. The estimates describe these exported rows, not every settlement or an individual's risk.
Method
We calculated Spearman's rank correlation between population and recorded crime per 100,000 separately within each country. Spearman measures whether higher population ranks tend to coincide with higher crime-rate ranks. It does not require a linear relationship and is less sensitive than Pearson to the extreme scale of city populations. Log-transforming population would not change Spearman because rank order is preserved.
Pearson is retained as a diagnostic. The United States is +0.28 by Spearman but +0.12 by Pearson; the UK is +0.19 by Spearman and -0.02 by Pearson. Divergence between the two indicates skew, non-linearity or sensitivity to particular observations and supports using ranks as the primary descriptive statistic.
Country population coefficients require at least 20 complete rows. Density coefficients require at least 20 density-complete rows, excluding the UK. For the unadjusted sensitivity test, the standard two-sided Spearman p-value was calculated within each reportable country; it was not corrected for spatial dependence or 18 simultaneous comparisons.
For Table 2, places were sorted by population within each country. Each extreme group contains the integer floor of 10% of the country sample: 435 per US group, 305 in Germany, 27 in Portugal, three in Canada and Lithuania, and six in the UK. The table reports each group's median crime rate and the largest-to-smallest ratio. The UK fifth-based check uses twelve observations per extreme group.
The pooled coefficient uses all 16,240 rows, including countries below the reporting floor, and is retained only to show why aggregation is misleading. Inherited parent-municipality values were excluded before export. No population weighting, missing-value imputation, cross-country rate standardisation or causal adjustment was applied.
FAQ
Are smaller cities safer than bigger cities?
Not as a universal rule. Population has a positive recorded-crime coefficient in sixteen of 18 reportable country samples, but the strength varies widely. Canada and Portugal are negative, although neither provides strong evidence of a dependable reversal. City size is therefore a screening clue, not a safety rule.
Does higher population density mean more recorded crime?
Not consistently. In the United States, population correlates with recorded crime at +0.28 while density is -0.01. Germany is +0.19 for population and +0.04 for density, but most German outcomes are district rates. In the Netherlands, both coefficients are positive at +0.52 and +0.56.
Why is Germany not a clean city-level result?
Of Germany's 3,059 rows, 3,005 attach a district-level crime rate to a city population. Several cities can therefore share one outcome, and districts containing more listed cities receive more weight. The coefficient describes this exported city-district matching, not a direct comparison of municipal crime rates.
Why do the UK coefficient and decile comparison disagree?
They no longer disagree. The UK sample has 63 cities, so each extreme decile contains six observations. Its +0.19 Spearman coefficient uses all ranks, and the largest-decile median is 1.03 times the smallest, so both point the same way, though the decile gap is small.
What crime data should I check before choosing a city?
Check the city's own recorded-crime rate, observation year, geographic grain and offence definition, then compare it with places covered by the same reporting system. Where available, add offence categories, neighbourhood patterns and multi-year trends. Population and density cannot substitute for those city-specific details.
Sources
The packet contains 2,017 source records from police agencies, statistical offices, population authorities and geographic data providers. The publisher-level ledger below preserves the labels in sources.csv; each link opens one representative record from that publisher family.
- BBSR; Bundeskriminalamt (BKA), Polizeiliche Kriminalstatistik — All recorded crimes per 100,000 residents in the BBSR/PKS Kreis indicator. — 1 source record; grade A; checked 2026-07-16.
- Belgian Federal Police / DGR/DRI/BIPOL — Belgian Federal Police — recorded total offences by municipality, Q4 2025 — 436 source records; grade B; checked 2026-07-26.
- Budapest Police Headquarters / Budapest Municipality — BRFK — Report on 2025 activity and Budapest public safety — 1 source record; grade A; checked 2026-07-29.
- Bundesamt für Kartographie und Geodäsie (BKG) — Bundesamt für Kartographie und Geodäsie (BKG) — 1 source record; grade A; checked 2026-08-05.
- Bundesamt für Statistik (BFS) — Reproducible density from BFS STATPOP permanent population at 31.12.2024 divided by the exact official BFS municipality area denominator (2013-2018; FJ=2013; area observed_at=2013). — 1 source record; grade A; checked 2024-12-31.
- Bundeskriminalamt (BKA) — PKS 2024 T01 Grundtabelle - Fälle mit Häufigkeitszahl (HZ) - Städte — 1 source record; grade A; checked 2026-07-16.
- Bundeskriminalamt / Statistik Austria — Bundeskriminalamt and Statistik Austria — 2025 Vienna offences and 2026 population — 1 source record; grade A; checked 2026-07-29.
- CBS — CBS Kerncijfers wijken en buurten 2025, municipality-grain passenger-car universe (Personenauto's totaal) divided by the same-table municipality population. — 1 source record; grade A; checked 2026-07-15.
- California Department of Water Resources, Division of Integrated Regional Water Management (BIOS) — California Department of Water Resources, Division of Integrated Regional Water Management (BIOS) — 1 source record; grade A; checked 2026-08-05.
- Census Reporter (underlying U.S. Census ACS) — Census Reporter (underlying U.S. Census ACS) — 30 source records; grade B; checked 2026-08-03.
Show 100 more sources
- Census Reporter / U.S. Census Bureau — Census Reporter / U.S. Census Bureau — 404 source records; grade B; checked 2026-08-03.
- Central Statistical Bureau of Latvia — CSB Latvia IRS031 — population at the beginning of year in regions, cities, towns and municipalities — 1 source record; grade A; checked 2026-07-26.
- Czech Statistical Office — Statistical Yearbook of Prague 2025 — 1 source record; grade A; checked 2026-07-29.
- Czech Statistical Office (CZSO) — CZSO official Prague statistical material — 1 source record; grade A; checked 2026-07-18.
- Danmarks Statistik — DST KOM kommunekode source register; exact municipality row keyed by kommunekode. — 2 source records; grade A; checked 2026-07-12 to 2026-07-14.
- Danmarks Statistik (DST) — Derived municipality density from DST population and ARE207 registered municipal area. — 1 source record; grade A; checked 2026-01-01.
- Destatis — Official municipality population divided by official municipality area from the same Destatis row. — 1 source record; grade A; checked 2024-12-31.
- Eurostat (ESTAT) — Population on the 1st of January, total — 1 source record; grade A; checked 2026-07-16.
- Eurostat GISCO / Eurostat Urban Audit — Eurostat GISCO / Eurostat Urban Audit — 1 source record; grade B; checked 2026-08-02.
- FBI Crime Data Explorer / Uniform Crime Reporting — FBI Crime Data Explorer / Uniform Crime Reporting — 1 source record; grade A; checked 2026-08-04.
- FBI Crime Data Explorer, Crime in the United States 2024, Table 8 — FBI Crime Data Explorer, Crime in the United States 2024, Table 8 — 1 source record; grade A; checked 2026-08-05.
- GUS BDL / GUGiK — Reproducible gmina density for Warszawa:
population_total_2024/ official area_2024, rounded to the metric contract precision 0. — 1 source record; grade A; checked 2024-12-31. - Hungarian Central Statistical Office — Population by type of settlement, 1 January — 1 source record; grade A; checked 2026-07-29.
- Hungarian Central Statistical Office (KSH) — KSH official table for
population_density_per_km2— 1 source record; grade A; checked 2026-07-18. - INE — Official INE 2024 municipality population divided by official INE 2024 municipality area. — 1 source record; grade A; checked 2024-01-01.
- INE Portugal — Official INE municipality profile: population density for Lisboa municipality, reference year 2022. — 2 source records; grade A; checked 2026-07-15.
- INE Portugal / reproducible local derivation — Reproducible derived density from the same-period INE populationTotal divided by areaKm2; no external density number was substituted. — 1 source record; grade B; checked 2026-07-15.
- ISTAT — Official SITUAS report 74 (Comuni - Dimensione): exact municipality surface in km2, with annual area vintage. — 1 source record; grade A; checked 2026-07-15.
- Information Centre of the Ministry of the Interior / Central Statistical Bureau of Latvia — Official Statistics Portal Latvia — NOR023 recorded crimes and crime rates 2021–2025 — 2 source records; grade A; checked 2026-07-29 to 2026-07-30.
- Information Technology and Communications Department, Lithuania — Information Technology and Communications Department Lithuania — crime statistics — 1 source record; grade A; checked 2026-07-29.
- Instituto Nacional de Estatística (INE), Portugal — INE — Taxa de criminalidade (‰) por Localização geográfica (NUTS 2013) e Categoria de crime; Anual, indicador 0008074, categoria Total, ano 2022 — 1 source record; grade A; checked 2026-07-31.
- Istituto Nazionale di Statistica (ISTAT) — Resident population by age and sex, 1 January 2026 estimate — 1 source record; grade A; checked 2026-07-29.
- Kantonspolizei Bern / Bundesamt für Statistik — Kantonspolizei Bern / BFS — Bern Gemeinde PKS 2025 total — 1 source record; grade A; checked 2026-07-29.
- Korean National Police Agency / Seoul Metropolitan Government / Statistics Korea — Korean National Police Agency / Seoul Metropolitan Police / Statistics Korea — 2024 registered crime and population — 1 source record; grade A; checked 2026-07-29.
- Metropolitan Police Department of the District of Columbia / U.S. Census Bureau — Population denominator used in MPD 2024 crime-rate table — 1 source record; grade A; checked 2026-07-16.
- Ministerio del Interior / Secretaría de Estado de Seguridad — MIR 2024 Q4 exact III. TOTAL INFRACCIONES PENALES, enero-diciembre 2024; INE 29005 denominator. — 1 source record; grade A; checked 2026-07-16.
- National Records of Scotland — National Records of Scotland — 1 source record; grade A; checked 2026-08-05.
- Office for National Statistics — Office for National Statistics — 1 source record; grade A; checked 2026-08-04.
- Office for National Statistics via Nomis — Office for National Statistics via Nomis — 1 source record; grade A; checked 2026-08-05.
- Police of the Czech Republic / Czech Statistical Office — Czech Police and CZSO — Prague 2025 registered criminal offences and population — 1 source record; grade A; checked 2026-07-29.
- Polizei Berlin — Polizei Berlin Kriminalitätsatlas — HZ 2024 Berlin (PKS gesamt) — 1 source record; grade A; checked 2026-07-29.
- Roma Capitale, Ufficio di Statistica / Istat — Roma Capitale — Annuario statistico 2024, Chapter 15, Table 15.1 — 1 source record; grade A; checked 2026-07-29.
- Secretaría de Estado de Seguridad, Ministerio del Interior, Spain — Balance de Criminalidad 2024 Q4 — III. Total infracciones penales, municipal rows — 1 source record; grade A; checked 2026-07-26.
- Seoul Metropolitan Government — Seoul 100 Statistics — 1 source record; grade A; checked 2026-07-22.
- Spanish Ministry of Interior / Criminality Statistics Portal — Spanish Ministry of Interior / Criminality Statistics Portal — 1 source record; grade A; checked 2026-08-05.
- Statbel / Statistics Belgium — Official resident population by Belgian municipality on 1 January 2026; Total column. — 1 source record; grade A; checked 2026-01-01.
- State Data Agency of Lithuania (LSD) — State Data Agency of Lithuania (LSD) — 1 source record; grade A; checked 2026-08-05.
- State Data Agency of Lithuania (Statistics Lithuania) — Statistics Lithuania OSP — resident population by county and municipality — 1 source record; grade A; checked 2026-07-26.
- Statistics Austria — Population and citizenship by administrative unit, 1 January 2026 — 1 source record; grade A; checked 2026-07-29.
- Statistics Canada — Statistics Canada — Police-reported Crime Severity Index and crime rate, by census metropolitan area, 2024 — 38 source records; grades A/B; checked 2021-05-11 to 2026-07-26.
- Statistics Denmark — StatBank Denmark STRAF11 — reported criminal offences, municipality, all offence types — 2 source records; grade A; checked 2026-07-27 to 2026-07-29.
- Statistics Denmark and official Danish public authorities — DK official material for
crime_incidents_per_100k— 1 source record; grade A; checked 2026-07-18. - Statistics Finland — Statistics Finland municipal offences recorded, table 13ex — 1 source record; grade A; checked 2026-07-26.
- Statistics Netherlands (CBS) — CBS StatLine 83648NED — registered crime by municipality, total, 2024 — 2 source records; grade A; checked 2026-07-26 to 2026-07-29.
- Statistics Norway — Statistics Norway — offences reported to the police, national and Oslo comparator — same-period scope evidence repair — 1 source record; grade A; checked 2026-07-29.
- Statistics Norway (SSB) — SSB 11342 ArealKm2 — 1 source record; grade A; checked 2026-07-15.
- Statistics Poland — Population by territorial unit, 2021 — 1 source record; grade A; checked 2026-07-29.
- Statistics Poland, Statistical Office in Warsaw — Statistics Poland — Statistical Yearbook of Warsaw 2024, Table 1 (31) — 1 source record; grade A; checked 2026-07-29.
- Statistics Sweden (SCB) — Official SCB population density per square kilometre at municipality grain. SCB states that it uses the population figure at 31 December with the following 1 January land-area figure. — 3 source records; grade A; checked 2025-12-31 to 2026-07-29.
- Statistik Austria — Reproducible Gemeinde density from archived official population_total 2025-01-01 divided by official 2025 Gemeinde geometry area. — 1 source record; grade A; checked 2025-01-01.
- Statistisches Bundesamt (Destatis) — Statistisches Bundesamt (Destatis) — 4 source records; grade A; checked 2026-07-12 to 2026-08-05.
- Statistisches Bundesamt (Destatis) / Statistical Offices of the Länder — Zensus 2022 regional tables — Germany municipalities — 1 source record; grade A; checked 2026-07-26.
- Swedish National Council for Crime Prevention (Brå) — Brå — reported offences by municipality, 2025 — 1 source record; grade A; checked 2026-07-26.
- U.S. Census Bureau (Population Estimates Program) — U.S. Census Bureau (Population Estimates Program) — 2 source records; grade A; checked 2026-08-03.
- U.S. Census Bureau, Population Estimates Program — U.S. Census Bureau, Population Estimates Program — 3 source records; grade A; checked 2026-08-03 to 2026-08-05.
- U.S. Census Bureau, TIGERweb Census 2020 — U.S. Census Bureau, TIGERweb Census 2020 — 2 source records; grade A; checked 2026-08-05.
- Unknown publisher — Information Technology and Communications Department under the Ministry of the Interior of the Republic of Lithuania — 4 source records; grade A; checked 2026-08-04.
- api.scb.se — 1 source record; grade A; checked 2026-07-14.
- api.stat.gov.lv — 1 source record; grade A; checked 2026-07-14.
- data.gov.lv — 1 source record; grade A; checked 2026-07-14.
dst_by1_2025— Statistics Denmark official Population 1 January by municipality, age and sex; summed over all ages and sexes. — 1 source record; grade A; checked 2026-07-14.- get.data.gov.lt — 1 source record; grade A; checked 2026-07-14.
no_ssb_07459_population— SSB table 07459 — Population by region, 1 January 2026 — 1 source record; grade A; checked 2026-07-14.- official authority — Belgium official denominator source — 987 source records; grade A; checked 2026-07-14.
- pt_pordata_Q1000037 — area_km2 at municipality; reference 2025. — 1 source record; grade B; checked 2026-07-14.
- pt_pordata_Q1000041 — area_km2 at municipality; reference 2025. — 1 source record; grade B; checked 2026-07-14.
- pt_pordata_Q1003126 — area_km2 at municipality; reference 2025. — 1 source record; grade B; checked 2026-07-14.
- pt_pordata_Q1003134 — area_km2 at municipality; reference 2025. — 1 source record; grade B; checked 2026-07-14.
- pt_pordata_Q1005090 — area_km2 at municipality; reference 2025. — 1 source record; grade B; checked 2026-07-14.
- pt_pordata_Q1005121 — area_km2 at municipality; reference 2025. — 1 source record; grade B; checked 2026-07-14.
- pt_pordata_Q1005138 — area_km2 at municipality; reference 2025. — 1 source record; grade B; checked 2026-07-14.
- pt_pordata_Q1006385 — area_km2 at municipality; reference 2025. — 1 source record; grade B; checked 2026-07-14.
- pt_pordata_Q1010463 — area_km2 at municipality; reference 2025. — 1 source record; grade B; checked 2026-07-14.
- pt_pordata_Q1013094 — area_km2 at municipality; reference 2025. — 1 source record; grade B; checked 2026-07-14.
- pt_pordata_Q1013140 — area_km2 at municipality; reference 2025. — 1 source record; grade B; checked 2026-07-14.
- pt_pordata_Q1019042 — area_km2 at municipality; reference 2025. — 1 source record; grade B; checked 2026-07-14.
- pt_pordata_Q1019053 — area_km2 at municipality; reference 2025. — 1 source record; grade B; checked 2026-07-14.
- pt_pordata_Q1021452 — area_km2 at municipality; reference 2025. — 1 source record; grade B; checked 2026-07-14.
- pt_pordata_Q174800 — area_km2 at municipality; reference 2025. — 1 source record; grade B; checked 2026-07-14.
- pt_pordata_Q221412 — area_km2 at municipality; reference 2025. — 1 source record; grade B; checked 2026-07-14.
- pt_pordata_Q304464 — area_km2 at municipality; reference 2025. — 1 source record; grade B; checked 2026-07-14.
- pt_pordata_Q368867 — area_km2 at municipality; reference 2025. — 1 source record; grade B; checked 2026-07-14.
- pt_pordata_Q425410 — area_km2 at municipality; reference 2025. — 1 source record; grade B; checked 2026-07-14.
- pt_pordata_Q438263 — area_km2 at municipality; reference 2025. — 1 source record; grade B; checked 2026-07-14.
- pt_pordata_Q449526 — area_km2 at municipality; reference 2025. — 1 source record; grade B; checked 2026-07-14.
- pt_pordata_Q492475 — area_km2 at municipality; reference 2025. — 1 source record; grade B; checked 2026-07-14.
- pt_pordata_Q551649 — area_km2 at municipality; reference 2025. — 1 source record; grade B; checked 2026-07-14.
- pt_pordata_Q551684 — area_km2 at municipality; reference 2025. — 1 source record; grade B; checked 2026-07-14.
- pt_pordata_Q552580 — area_km2 at municipality; reference 2025. — 1 source record; grade B; checked 2026-07-14.
- pt_pordata_Q564762 — area_km2 at municipality; reference 2025. — 1 source record; grade B; checked 2026-07-14.
- pt_pordata_Q635165 — area_km2 at municipality; reference 2025. — 1 source record; grade B; checked 2026-07-14.
- pt_pordata_Q641715 — area_km2 at municipality; reference 2025. — 1 source record; grade B; checked 2026-07-14.
- pt_pordata_Q647467 — area_km2 at municipality; reference 2025. — 1 source record; grade B; checked 2026-07-14.
- pt_pordata_Q700311 — area_km2 at municipality; reference 2025. — 1 source record; grade B; checked 2026-07-14.
- pt_pordata_Q769062 — area_km2 at municipality; reference 2025. — 1 source record; grade B; checked 2026-07-14.
- pt_pordata_Q861589 — area_km2 at municipality; reference 2025. — 1 source record; grade B; checked 2026-07-14.
- pt_pordata_Q985519 — area_km2 at municipality; reference 2025. — 1 source record; grade B; checked 2026-07-14.
- pt_pordata_Q986093 — area_km2 at municipality; reference 2025. — 1 source record; grade B; checked 2026-07-14.
- pt_pordata_Q988863 — area_km2 at municipality; reference 2025. — 1 source record; grade B; checked 2026-07-14.
- pt_pordata_Q995188 — area_km2 at municipality; reference 2025. — 1 source record; grade B; checked 2026-07-14.
How to cite
Streltcoff, M. (2026). City size often tracks recorded crime, but density may not. ImmigrationDB. https://immigrationdb.com/research/city-size-recorded-crime/
Free to reuse under CC BY 4.0 with this credit; each figure keeps the terms of the publishers linked under its sources.