The unemployment–crime link changes sharply by country

Q: Does unemployment cause crime?

This analysis cannot answer causation. It compares city-level unemployment and recorded-crime ranks at one point or period, without measuring policing, reporting, deprivation, urban form or other possible influences. It also cannot say anything about an individual unemployed person’s behaviour; doing so would be the ecological fallacy.

Q: Where is the unemployment–crime relationship strongest?

The strongest reportable Spearman coefficients are Sweden at +0.683, the Netherlands at +0.647 and Belgium at +0.646. Denmark follows at +0.421. These are within-country rankings under each country’s own unemployment and recorded-crime definitions, not evidence that their national levels are higher or directly comparable.

Q: Where is the coefficient closest to zero?

The United Kingdom is +0.004 across 25 places, Spain +0.013 across 425, Canada +0.021 across 37, Lithuania +0.029 across 30 and Portugal +0.044 across 280. These are sample coefficients near zero, not proof that the underlying relationship is exactly zero.

Q: Does city population explain the unemployment–crime result?

No single size explanation fits all countries. Lithuania has a +0.638 population–crime coefficient but only +0.029 for unemployment; Belgium and the Netherlands are positive on both; Portugal is slightly positive for unemployment and negative for population. Population is a competing correlate, not a demonstrated mechanism.

Q: How should movers use these figures?

Use the pairing only as a country-specific screening clue. Check each shortlisted city’s observation year, geographic grain, offence definition and unemployment definition, then compare places covered by the same source system. Direct neighbourhood, offence-category and labour-market evidence is more useful than assuming one national coefficient applies everywhere.

By Maksim Streltcov · Published 6 August 2026 · Updated 6 August 2026

City-level data cannot show that unemployment causes crime. Across 7,310 places in the 11 country samples with at least 20 observations, every Spearman coefficient is positive, but the range runs from +0.004 in the United Kingdom to +0.683 in Sweden. Spain, Canada, Lithuania and Portugal are also near zero. A shared sign is not a shared relationship.

What we measured

We tested whether places with higher published unemployment rates also tend to rank higher on recorded offences per 100,000 residents inside the same country. The unit is a place, not a person. Spearman’s coefficient describes whether the two city rankings move together; it does not measure the effect of unemployment on crime.

Unemployment is not one harmonised measure. Some sources publish registered unemployment, others labour-force-survey estimates, and the observation windows range from a single date to a multi-year American Community Survey period. The rates can support within-country ordering under one source definition, but they must not be used to rank national labour markets against one another.

Recorded crime is not all crime and is not a direct safety score. It reflects offences recorded and released by public authorities, so reporting, detection, legal definitions, police practice and geographic boundaries can alter the rate. A Swedish value and a Spanish value do not become comparable merely because both are expressed per 100,000.

The ecological fallacy applies directly. A city-level association says nothing about whether any individual unemployed person commits, experiences or reports an offence. This article makes no inference about individual behaviour in either direction.

The packet contains 7,339 rows across 20 countries. Eleven countries meet the pre-set floor of 20 complete observations and contribute 7,310 rows to the country results; nine below-floor countries contribute 29 rows only to the pooled diagnostic. The data combine official police, statistical-office and population sources.

Geographic grain is mixed. Crime is city grain in 5,839 rows, German kreis_nuts3 district grain in 1,118, Spanish municipality grain in 378 and US police-agency service-area grain in four. Unemployment is labelled city grain in 7,334 rows, regional_context in three UK rows, and a special Eurostat city label in two rows. Inherited parent-municipality values were excluded before export.

Observation periods also diverge. Belgium pairs 2011 unemployment with 2025 recorded crime; Portugal is mostly 2026 unemployment against 2022 crime; the UK uses 2018 city unemployment or 2023 regional context against 2024 crime. The Netherlands aligns both measures to 2024; Denmark pairs November 2025 unemployment with 2025 crime, while Sweden is approximately one year apart. These are cross-sectional pairings, not synchronized panels.

What the data shows

The pooled Spearman coefficient is +0.340 across all 7,339 rows, but it is not an average country relationship. It re-ranks places after combining 20 non-equivalent systems. The United States supplies 58.6% of the packet; the United States and Germany together supply 74.3%. The pooled value is therefore dominated by sample composition and is retained only as an aggregation warning.

Three countries form the strong end: Sweden at +0.683 across 200 places, the Netherlands at +0.647 across 337 and Belgium at +0.646 across 426. Denmark is +0.421 across 97. In those samples, higher unemployment ranks substantially coincide with higher recorded-crime ranks.

The United States is moderate at +0.319 across 4,298 places, and Germany is +0.277 across 1,155. Both are numerically important because they dominate the row count, but neither can stand in for the other countries. Germany also carries the packet’s largest grain problem: 1,118 of 1,155 outcomes are district rates attached to city unemployment values.

At the other end, Portugal is +0.044, Lithuania +0.029, Canada +0.021, Spain +0.013 and the United Kingdom +0.004. The UK coefficient is based on only 25 places and must not be described as proof of no relationship. It is a near-zero estimate in a small, mixed-period sample.

An unadjusted rank test returns p<0.05 for six positive coefficients: Sweden, the Netherlands, Belgium, Denmark, the United States and Germany. The other five do not pass that descriptive check. Spatial clustering, repeated German district outcomes and multiple country tests violate the assumptions needed to treat those p-values as formal national inference.

The strong cases are not an artefact of rank correlation alone. Pearson is +0.665 in Sweden, +0.732 in the Netherlands and +0.608 in Belgium. Portugal is more method-sensitive: Spearman is +0.044 while Pearson is +0.160, indicating that a small number of raw-value contrasts influence a linear coefficient more than the overall rank ordering.

Quartile contrasts tell the same heterogeneous story in plain units. Using inclusive 25th- and 75th-percentile cutoffs, the median recorded-crime rate in the high-unemployment group is 1.94 times the low group in the United States, 1.80 in the Netherlands, 1.77 in Belgium and 1.45 in Sweden. The ratios are 1.06 in Spain, 1.05 in Portugal and 1.02 in the UK; Lithuania is 0.94. These ratios stay within each reporting system.

Figure 1Unemployment against the recorded-crime rate, by country. Every coefficient is positive; the strengths differ by more than a hundredfold.

Hover, focus, or tap a mark to inspect its exact values.

Use Arrow keys to move between marks. Home/End jump to the first/last mark. Page Up/Page Down move by 10 marks. Tab exits the chart. On small screens, swipe horizontally across the chart. Exact values are listed below.

View exact figure values

Figure conclusion: Unemployment against the recorded-crime rate, by country. Every coefficient is positive; the strengths differ by more than a hundredfold.

Unemployment and recorded-crime correlation by country exact values
Mark	Group	Value	Unit	Sample/note	Exact detail
US	US	0.331	coefficient	4,457 cities	US; Group: US; Value: 0.331 coefficient; 4,457 cities
BE	BE	0.652	coefficient	487 cities	BE; Group: BE; Value: 0.652 coefficient; 487 cities
ES	ES	0.01	coefficient	427 cities	ES; Group: ES; Value: 0.01 coefficient; 427 cities
NL	NL	0.647	coefficient	337 cities	NL; Group: NL; Value: 0.647 coefficient; 337 cities
PT	PT	0.044	coefficient	280 cities	PT; Group: PT; Value: 0.044 coefficient; 280 cities
SE	SE	0.683	coefficient	200 cities	SE; Group: SE; Value: 0.683 coefficient; 200 cities
NO	NO	0.356	coefficient	181 cities	NO; Group: NO; Value: 0.356 coefficient; 181 cities
DE	DE	0.314	coefficient	125 cities	DE; Group: DE; Value: 0.314 coefficient; 125 cities
DK	DK	0.421	coefficient	97 cities	DK; Group: DK; Value: 0.421 coefficient; 97 cities
FI	FI	0.551	coefficient	63 cities	FI; Group: FI; Value: 0.551 coefficient; 63 cities
PL	PL	-0.249	coefficient	61 cities	PL; Group: PL; Value: -0.249 coefficient; 61 cities
UK	UK	0.324	coefficient	53 cities	UK; Group: UK; Value: 0.324 coefficient; 53 cities
CA	CA	0.021	coefficient	37 cities	CA; Group: CA; Value: 0.021 coefficient; 37 cities
LT	LT	0.029	coefficient	30 cities	LT; Group: LT; Value: 0.029 coefficient; 30 cities

Table 1Reportable countries. Registered and labour-force-survey unemployment rates both appear here and are not the same measure; only within-country rankings are comparable.

Reportable countries. Registered and labour-force-survey unemployment rates both appear here and are not the same measure; only within-country rankings are comparable.
Country	Cities	Spearman	Pearson	Median unemployment	Median crime
US	4,457	0.33	0.26	4.7%	1,589.1
BE	487	0.65	0.61	5.8%	5,310.6
ES	427	0.01	0.02	5.2%	4,560.9
NL	337	0.65	0.73	3.1%	3,100
PT	280	0.04	0.16	2.3%	2,745
SE	200	0.68	0.67	10.5%	9,985.5
NO	181	0.36	0.41	1.7%	4,450
DE	125	0.31	0.23	7.5%	8,649.2
DK	97	0.42	0.34	2.5%	5,719.7
FI	63	0.55	0.54	11.5%	8,849
PL	61	-0.25	-0.17	3.9%	2,452
UK	53	0.32	0.35	4.6%	9,692.6
CA	37	0.02	-0.13	10.3%	5,283
LT	30	0.03	0.02	8.5%	1,494.8

Table 2The unemployment coefficient beside the city-size coefficient on the same cities. Neither explanation subsumes the other, and in several countries size is the stronger one.

The unemployment coefficient beside the city-size coefficient on the same cities. Neither explanation subsumes the other, and in several countries size is the stronger one.
Country	Cities	Unemployment	City size
US	4,339	0.33	0.28
BE	487	0.65	0.44
ES	427	0.01	0.20
NL	331	0.65	0.52
PT	252	0.04	-0.06
SE	199	0.68	0.37
NO	181	0.36	0.44
DE	117	0.31	0.27
DK	97	0.42	0.42
FI	63	0.55	0.39
UK	50	0.32	0.25
CA	36	0.02	-0.27
LT	30	0.03	0.64

Figure 2Every paired city: unemployment rate against offences per 100,000 residents. The unit is a city, and a city-level association says nothing about any individual.

Hover, focus, or tap a mark to inspect its exact values.

View exact figure values

Figure conclusion: Every paired city: unemployment rate against offences per 100,000 residents. The unit is a city, and a city-level association says nothing about any individual.

Aartselaar; Group: BE; Unemployment (%): 3.08; Offences per 100k: 4534.3
Brasschaat; Group: BE; Unemployment (%): 3.95; Offences per 100k: 6159
Hove (Anvers); Group: BE; Unemployment (%): 3.51; Offences per 100k: 4607.1
Mortsel; Group: BE; Unemployment (%): 4.81; Offences per 100k: 6906.3
Schilde; Group: BE; Unemployment (%): 3.8; Offences per 100k: 4014.5
Wuustwezel; Group: BE; Unemployment (%): 3.54; Offences per 100k: 4844.3
Bonheiden; Group: BE; Unemployment (%): 3.29; Offences per 100k: 3088.2
Malines; Group: BE; Unemployment (%): 6.65; Offences per 100k: 8652.5
Arendonk; Group: BE; Unemployment (%): 5.42; Offences per 100k: 5936.2
Geel; Group: BE; Unemployment (%): 4.91; Offences per 100k: 6290.7
Hoogstraten; Group: BE; Unemployment (%): 3.02; Offences per 100k: 6046.6
Merksplas; Group: BE; Unemployment (%): 3.51; Offences per 100k: 5371.1
Retie; Group: BE; Unemployment (%): 4.14; Offences per 100k: 3925.1
Westerlo; Group: BE; Unemployment (%): 4.65; Offences per 100k: 5154.9
Bruxelles; Group: BE; Unemployment (%): 19.17; Offences per 100k: 24103.8
Ixelles; Group: BE; Unemployment (%): 14.8; Offences per 100k: 14235.9
Saint-Josse-ten-Noode; Group: BE; Unemployment (%): 24.06; Offences per 100k: 14302.1
Woluwe-Saint-Lambert; Group: BE; Unemployment (%): 9.39; Offences per 100k: 6684.3
Grimbergen; Group: BE; Unemployment (%): 4.52; Offences per 100k: 5346.211741
Liedekerke; Group: BE; Unemployment (%): 3.66; Offences per 100k: 6137.158353
Opwijk; Group: BE; Unemployment (%): 2.71; Offences per 100k: 4083.142742
Vilvorde; Group: BE; Unemployment (%): 6.58; Offences per 100k: 7714.195384
Kraainem; Group: BE; Unemployment (%): 4.73; Offences per 100k: 5615.241369
Affligem; Group: BE; Unemployment (%): 3.1; Offences per 100k: 4600.395575
Bierbeek; Group: BE; Unemployment (%): 2.23; Offences per 100k: 4632.618189
Haacht; Group: BE; Unemployment (%): 3.02; Offences per 100k: 4633.92627
Huldenberg; Group: BE; Unemployment (%): 2.71; Offences per 100k: 2816.622037
Louvain; Group: BE; Unemployment (%): 4.25; Offences per 100k: 12442.192503
Tirlemont; Group: BE; Unemployment (%): 4.98; Offences per 100k: 7580.437932
Tielt-Winge; Group: BE; Unemployment (%): 3.05; Offences per 100k: 3765.942778
Chaumont-Gistoux; Group: BE; Unemployment (%): 7.59; Offences per 100k: 4489
Ittre; Group: BE; Unemployment (%): 6.47; Offences per 100k: 9684.9
Perwez (Nivelles); Group: BE; Unemployment (%): 6.29; Offences per 100k: 5423
Wavre; Group: BE; Unemployment (%): 8.63; Offences per 100k: 8638.6
Ottignies-Louvain-la-Neuve; Group: BE; Unemployment (%): 8.74; Offences per 100k: 8355.6
Blankenberge; Group: BE; Unemployment (%): 9.03; Offences per 100k: 12713.9
Torhout; Group: BE; Unemployment (%): 3.67; Offences per 100k: 4438.9
Koekelare; Group: BE; Unemployment (%): 3.58; Offences per 100k: 3646.2
Zonnebeke; Group: BE; Unemployment (%): 3.17; Offences per 100k: 3042.9
Deerlijk; Group: BE; Unemployment (%): 3.05; Offences per 100k: 4117.2
Menin; Group: BE; Unemployment (%): 5.65; Offences per 100k: 6989
Gistel; Group: BE; Unemployment (%): 3.97; Offences per 100k: 4513.1
De Haan; Group: BE; Unemployment (%): 6.96; Offences per 100k: 6434.3
Ledegem; Group: BE; Unemployment (%): 3.19; Offences per 100k: 3919.6
Dentergem; Group: BE; Unemployment (%): 2.94; Offences per 100k: 2799.2
Wingene; Group: BE; Unemployment (%): 2.32; Offences per 100k: 2949.5
Furnes; Group: BE; Unemployment (%): 3.79; Offences per 100k: 6635.8
Herzele; Group: BE; Unemployment (%): 3.69; Offences per 100k: 4141.8
Erpe-Mere; Group: BE; Unemployment (%): 3.89; Offences per 100k: 4285.5
Laarne; Group: BE; Unemployment (%): 3.07; Offences per 100k: 4119.8
Zele; Group: BE; Unemployment (%): 4.82; Offences per 100k: 6073.1
Maldegem; Group: BE; Unemployment (%): 3.83; Offences per 100k: 5030.7
Gavere; Group: BE; Unemployment (%): 3.01; Offences per 100k: 3401.1
Deinze; Group: BE; Unemployment (%): 3.02; Offences per 100k: 6315.2
Brakel; Group: BE; Unemployment (%): 3.82; Offences per 100k: 3810.4
Zwalin; Group: BE; Unemployment (%): 3.16; Offences per 100k: 3403.4
Lokeren; Group: BE; Unemployment (%): 5.34; Offences per 100k: 7285.3
Ellezelles; Group: BE; Unemployment (%): 7.32; Offences per 100k: 3993.9
Chapelle-lez-Herlaimont; Group: BE; Unemployment (%): 16.61; Offences per 100k: 7410.4
Fleurus; Group: BE; Unemployment (%): 14.25; Offences per 100k: 6793.4
Pont-à-Celles; Group: BE; Unemployment (%): 8.98; Offences per 100k: 5269.121813
Frameries; Group: BE; Unemployment (%): 17.15; Offences per 100k: 8164.1
Quiévrain; Group: BE; Unemployment (%): 17.89; Offences per 100k: 9834.4
Braine-le-Comte; Group: BE; Unemployment (%): 10.43; Offences per 100k: 6775.8
Manage; Group: BE; Unemployment (%): 17.16; Offences per 100k: 7501.3
Lobbes; Group: BE; Unemployment (%): 8.71; Offences per 100k: 5596.6
Celles (Tournai); Group: BE; Unemployment (%): 6.36; Offences per 100k: 4675.5
Tournai; Group: BE; Unemployment (%): 11.67; Offences per 100k: 9602.4
Comines-Warneton; Group: BE; Unemployment (%): 10; Offences per 100k: 7114.7
Amay; Group: BE; Unemployment (%): 13.14; Offences per 100k: 6812.5
Marchin; Group: BE; Unemployment (%): 9.61; Offences per 100k: 4007
Ans; Group: BE; Unemployment (%): 13.85; Offences per 100k: 7369.8
Chaudfontaine; Group: BE; Unemployment (%): 9.14; Offences per 100k: 5797.8
Herstal; Group: BE; Unemployment (%): 17; Offences per 100k: 9042
Seraing; Group: BE; Unemployment (%): 19.09; Offences per 100k: 10153.8
Blegny; Group: BE; Unemployment (%): 8.02; Offences per 100k: 4933.9
Bullange; Group: BE; Unemployment (%): 2.75; Offences per 100k: 2628.2
Herve; Group: BE; Unemployment (%): 8.65; Offences per 100k: 6284.4
Malmedy; Group: BE; Unemployment (%): 9.32; Offences per 100k: 5550
Stavelot; Group: BE; Unemployment (%): 9.55; Offences per 100k: 5608.6
Plombières; Group: BE; Unemployment (%): 8.17; Offences per 100k: 3821.7
Saint-Georges-sur-Meuse; Group: BE; Unemployment (%): 11.44; Offences per 100k: 6257
Genk; Group: BE; Unemployment (%): 9.33; Offences per 100k: 7894.2
Lummen; Group: BE; Unemployment (%): 4.28; Offences per 100k: 6808.2
Heusden-Zolder; Group: BE; Unemployment (%): 6.01; Offences per 100k: 3987.8
Kinrooi; Group: BE; Unemployment (%): 5; Offences per 100k: 3591.9
Hechtel-Eksel; Group: BE; Unemployment (%): 4.39; Offences per 100k: 5859.9
Lanaken; Group: BE; Unemployment (%): 6.07; Offences per 100k: 5782.1
Attert; Group: BE; Unemployment (%): 4.04; Offences per 100k: 2026.1
Vaux-sur-Sûre; Group: BE; Unemployment (%): 4.68; Offences per 100k: 3211.2
Marche-en-Famenne; Group: BE; Unemployment (%): 10.72; Offences per 100k: 11401.1
Libin; Group: BE; Unemployment (%): 7.06; Offences per 100k: 4173.6
Chiny; Group: BE; Unemployment (%): 8.98; Offences per 100k: 4672.5
Anhée; Group: BE; Unemployment (%): 8.92; Offences per 100k: 4835.1
Hamois; Group: BE; Unemployment (%): 7.17; Offences per 100k: 4292.2
Yvoir; Group: BE; Unemployment (%): 7.53; Offences per 100k: 4168.5
Floreffe; Group: BE; Unemployment (%): 7.17; Offences per 100k: 5960.2
Ohey; Group: BE; Unemployment (%): 7.98; Offences per 100k: 3372.9
Jemeppe-sur-Sambre; Group: BE; Unemployment (%): 12.17; Offences per 100k: 6256.5
Florennes; Group: BE; Unemployment (%): 12.08; Offences per 100k: 7932.5
Fredericton; Group: CA; Unemployment (%): 8.6; Offences per 100k: 5314
Moncton; Group: CA; Unemployment (%): 9.1; Offences per 100k: 7129
Saint John; Group: CA; Unemployment (%): 10.9; Offences per 100k: 4417
Gatineau; Group: CA; Unemployment (%): 9.3; Offences per 100k: 3756
Chilliwack; Group: CA; Unemployment (%): 6.6; Offences per 100k: 11352
Saguenay; Group: CA; Unemployment (%): 5.5; Offences per 100k: 3366
Halifax; Group: CA; Unemployment (%): 11.4; Offences per 100k: 6020
Calgary; Group: CA; Unemployment (%): 12.5; Offences per 100k: 4796
Braunschweig; Group: DE; Unemployment (%): 5.7; Offences per 100k: 8447
Dusseldorf; Group: DE; Unemployment (%): 7.7; Offences per 100k: 12172
Muelheim an der Ruhr; Group: DE; Unemployment (%): 8; Offences per 100k: 6313.1298828125
Bonn; Group: DE; Unemployment (%): 7; Offences per 100k: 10116
Bielefeld; Group: DE; Unemployment (%): 8.9; Offences per 100k: 8264
Frankfurt am Main; Group: DE; Unemployment (%): 6.5; Offences per 100k: 14590.3896484375
Stuttgart; Group: DE; Unemployment (%): 5.7; Offences per 100k: 8552
Augsburg; Group: DE; Unemployment (%): 6; Offences per 100k: 7298
Chemnitz; Group: DE; Unemployment (%): 8.9; Offences per 100k: 8268.5595703125
Erfurt; Group: DE; Unemployment (%): 6.3; Offences per 100k: 8977.509765625
Wittorf; Group: DE; Unemployment (%): 5.9; Offences per 100k: 18117.78
Munich; Group: DE; Unemployment (%): 5.6; Offences per 100k: 6214
Pirmasens; Group: DE; Unemployment (%): 9.503; Offences per 100k: 9218.2900390625
Schwerin; Group: DE; Unemployment (%): 7.642; Offences per 100k: 9339.849609375
Paderborn; Group: DE; Unemployment (%): 7.147; Offences per 100k: 8444.998041720974
Wolfsburg; Group: DE; Unemployment (%): 7.037; Offences per 100k: 6915.3798828125
Bottrop; Group: DE; Unemployment (%): 6.291; Offences per 100k: 6957
Bergisch Gladbach; Group: DE; Unemployment (%): 6.441; Offences per 100k: 5755.370140244985
Siegen; Group: DE; Unemployment (%): 7.416; Offences per 100k: 8031.220009009538
Cologne; Group: DE; Unemployment (%): 7.092; Offences per 100k: 12480.9404296875
Flensburg; Group: DE; Unemployment (%): 9.13; Offences per 100k: 10057.4697265625
Neumuenster; Group: DE; Unemployment (%): 7.151; Offences per 100k: 16077
Aschaffenburg; Group: DE; Unemployment (%): 6.7; Offences per 100k: 6632.52978515625
Schweinfurt; Group: DE; Unemployment (%): 6.9; Offences per 100k: 7799.919921875
Speyer; Group: DE; Unemployment (%): 5.95; Offences per 100k: 14304.0400390625
Aabenraa; Group: DK; Unemployment (%): 2.4; Offences per 100k: 7809.987134
Allerød; Group: DK; Unemployment (%): 1.6; Offences per 100k: 5277.686801
Brøndby; Group: DK; Unemployment (%): 4.2; Offences per 100k: 9214.550854
Egedal; Group: DK; Unemployment (%): 2; Offences per 100k: 4915.477438
Faxe; Group: DK; Unemployment (%): 2.7; Offences per 100k: 5139.08099
Frederikssund; Group: DK; Unemployment (%): 2.2; Offences per 100k: 5682.239296
Greve; Group: DK; Unemployment (%): 2.5; Offences per 100k: 7525.6917
Hedensted; Group: DK; Unemployment (%): 2.1; Offences per 100k: 4725.10924
Hjørring; Group: DK; Unemployment (%): 2.7; Offences per 100k: 5175.184234
Hørsholm; Group: DK; Unemployment (%): 2.4; Offences per 100k: 5698.753398
Kalundborg; Group: DK; Unemployment (%): 2; Offences per 100k: 5478.229405
Langeland; Group: DK; Unemployment (%): 3.4; Offences per 100k: 4137.29128
Lyngby-Taarbæk; Group: DK; Unemployment (%): 2.6; Offences per 100k: 7355.64922
Nordfyns; Group: DK; Unemployment (%): 3.3; Offences per 100k: 5577.115423
Randers; Group: DK; Unemployment (%): 3; Offences per 100k: 6566.61743
Roskilde; Group: DK; Unemployment (%): 2.4; Offences per 100k: 7591.806081
Skive; Group: DK; Unemployment (%): 1.6; Offences per 100k: 5234.282714
Stevns; Group: DK; Unemployment (%): 3; Offences per 100k: 4322.880601
Thisted; Group: DK; Unemployment (%): 1.9; Offences per 100k: 3871.057001
Vejle; Group: DK; Unemployment (%): 2.3; Offences per 100k: 6989.648602
Barcelona; Group: ES; Unemployment (%): 7.13; Offences per 100k: 10329.64
Pamplona/Iruña; Group: ES; Unemployment (%): 8.54; Offences per 100k: 7454.15
Almería; Group: ES; Unemployment (%): 20.14; Offences per 100k: 4868.39
Vícar; Group: ES; Unemployment (%): 13.44; Offences per 100k: 4747.7
Rinconada, La; Group: ES; Unemployment (%): 7.11; Offences per 100k: 3175.5
Huesca; Group: ES; Unemployment (%): 12.51; Offences per 100k: 4027.13
Vilassar de Mar; Group: ES; Unemployment (%): 2.92; Offences per 100k: 3080.99
Huelva; Group: ES; Unemployment (%): 19.45; Offences per 100k: 5408.61
Vila-real; Group: ES; Unemployment (%): 5.48; Offences per 100k: 2711.523
Rincón de la Victoria; Group: ES; Unemployment (%): 4.67; Offences per 100k: 3446.3
Lloret de Mar; Group: ES; Unemployment (%): 2.36; Offences per 100k: 7638.5
Ronda; Group: ES; Unemployment (%): 6.06; Offences per 100k: 4579.83
Sant Feliu de Guíxols; Group: ES; Unemployment (%): 3.06; Offences per 100k: 5310.2
Huércal-Overa; Group: ES; Unemployment (%): 3.94; Offences per 100k: 3328.64
Vic; Group: ES; Unemployment (%): 3.99; Offences per 100k: 5170.6
Almansa; Group: ES; Unemployment (%): 5.8; Offences per 100k: 2771.71
Terrassa; Group: ES; Unemployment (%): 11; Offences per 100k: 4288.44
Vitoria-Gasteiz; Group: ES; Unemployment (%): 8.59; Offences per 100k: 4916.014
Hernani; Group: ES; Unemployment (%): 3.87; Offences per 100k: 3571.6
Avilés; Group: ES; Unemployment (%): 11.17; Offences per 100k: 3097.5
Ciudad Real; Group: ES; Unemployment (%): 15.91; Offences per 100k: 4022.725
Mollet del Vallès; Group: ES; Unemployment (%): 9.77; Offences per 100k: 4798.88
Sueca; Group: ES; Unemployment (%): 4.93; Offences per 100k: 6418.54
Cornellà de Llobregat; Group: ES; Unemployment (%): 3.92; Offences per 100k: 5919.92
Martorell; Group: ES; Unemployment (%): 4.08; Offences per 100k: 5535.48
Sant Feliu de Llobregat; Group: ES; Unemployment (%): 3.16; Offences per 100k: 3842.85
Viladecans; Group: ES; Unemployment (%): 8.59; Offences per 100k: 4570.29
Segovia; Group: ES; Unemployment (%): 3.13; Offences per 100k: 3976.71
Rota; Group: ES; Unemployment (%): 5.28; Offences per 100k: 5234.84
San Andrés del Rabanedo; Group: ES; Unemployment (%): 4.97; Offences per 100k: 3854.91
Estrada, A; Group: ES; Unemployment (%): 3.46; Offences per 100k: 2214.61
Cangas; Group: ES; Unemployment (%): 4.15; Offences per 100k: 3724.64
Vall d'Uixó, la; Group: ES; Unemployment (%): 4.97; Offences per 100k: 3697.78
Algemesí; Group: ES; Unemployment (%): 4.78; Offences per 100k: 4973.54
Manresa; Group: ES; Unemployment (%): 12.17; Offences per 100k: 6008.65
Catarroja; Group: ES; Unemployment (%): 5.79; Offences per 100k: 3894.9
Pobla de Vallbona, la; Group: ES; Unemployment (%): 4.5; Offences per 100k: 4017.59
Motril; Group: ES; Unemployment (%): 5.79; Offences per 100k: 4242.69
Puçol; Group: ES; Unemployment (%): 3.8; Offences per 100k: 3089.49
Plasencia; Group: ES; Unemployment (%): 5.95; Offences per 100k: 3806.27
Écija; Group: ES; Unemployment (%): 6.8; Offences per 100k: 3651.126
Requena; Group: ES; Unemployment (%): 4.51; Offences per 100k: 5163.93
Adeje; Group: ES; Unemployment (%): 3.88; Offences per 100k: 12657.03
Borriana/Burriana; Group: ES; Unemployment (%): 5.03; Offences per 100k: 5834.103
Altea; Group: ES; Unemployment (%): 3.61; Offences per 100k: 5934.15
Lorca; Group: ES; Unemployment (%): 9.05; Offences per 100k: 3706.211
Ferrol; Group: ES; Unemployment (%): 12.11; Offences per 100k: 4752.56
Orihuela; Group: ES; Unemployment (%): 4.69; Offences per 100k: 5338.221
Torrejón de Ardoz; Group: ES; Unemployment (%): 10.04; Offences per 100k: 3766.73
Arrasate/Mondragón; Group: ES; Unemployment (%): 4.85; Offences per 100k: 3461.024
Mijas; Group: ES; Unemployment (%): 5.06; Offences per 100k: 6223.88
Torrelavega; Group: ES; Unemployment (%): 5.76; Offences per 100k: 4393.86
Adra; Group: ES; Unemployment (%): 5.27; Offences per 100k: 4503.23
Roquetas de Mar; Group: ES; Unemployment (%): 4.81; Offences per 100k: 5869.75
Vila-seca; Group: ES; Unemployment (%): 2.98; Offences per 100k: 6900.03
Torrelodones; Group: ES; Unemployment (%): 2.47; Offences per 100k: 4649.23
Armilla; Group: ES; Unemployment (%): 22.02; Offences per 100k: 7163.94
Icod de los Vinos; Group: ES; Unemployment (%): 7.23; Offences per 100k: 1836.52
Puente Genil; Group: ES; Unemployment (%): 6.32; Offences per 100k: 3664.52
Ponteareas; Group: ES; Unemployment (%): 5.36; Offences per 100k: 3591.14
Puerto de la Cruz; Group: ES; Unemployment (%): 15.02; Offences per 100k: 8264.02
Don Benito; Group: ES; Unemployment (%): 4.68; Offences per 100k: 3708.12
Calahorra; Group: ES; Unemployment (%): 3.62; Offences per 100k: 5473.99
Pájara; Group: ES; Unemployment (%): 2.89; Offences per 100k: 6315.35
Errenteria; Group: ES; Unemployment (%): 4.54; Offences per 100k: 4441.96
Villanueva de la Serena; Group: ES; Unemployment (%): 4.97; Offences per 100k: 3137.6
Durango; Group: ES; Unemployment (%): 3.9; Offences per 100k: 3730.72
Almonte; Group: ES; Unemployment (%): 3.51; Offences per 100k: 7935.49
Santa Lucía de Tirajana; Group: ES; Unemployment (%): 14.18; Offences per 100k: 3896.34
Camas; Group: ES; Unemployment (%): 8.72; Offences per 100k: 5242.99
Leganés; Group: ES; Unemployment (%): 4.03; Offences per 100k: 4656.23
Tomelloso; Group: ES; Unemployment (%): 6.03; Offences per 100k: 3663.44
Conil de la Frontera; Group: ES; Unemployment (%): 4.91; Offences per 100k: 4875.81
Valdemoro; Group: ES; Unemployment (%): 9.14; Offences per 100k: 5127.71
San Roque; Group: ES; Unemployment (%): 7.38; Offences per 100k: 5095.06
Sevilla; Group: ES; Unemployment (%): 12.1; Offences per 100k: 7439.69
Palma; Group: ES; Unemployment (%): 12.14; Offences per 100k: 8235.98
Ribeira; Group: ES; Unemployment (%): 3.47; Offences per 100k: 5252.48
Erandio; Group: ES; Unemployment (%): 5.11; Offences per 100k: 6005.19
Vinaròs; Group: ES; Unemployment (%): 4.4; Offences per 100k: 6086.017
Seseña; Group: ES; Unemployment (%): 4.45; Offences per 100k: 5294.22
Cártama; Group: ES; Unemployment (%): 5.87; Offences per 100k: 3891.62
Torre-Pacheco; Group: ES; Unemployment (%): 3.21; Offences per 100k: 4677.066
Pilar de la Horadada; Group: ES; Unemployment (%): 3.07; Offences per 100k: 6830.893
Ontinyent; Group: ES; Unemployment (%): 5.93; Offences per 100k: 3030.47
Novelda; Group: ES; Unemployment (%): 6.15; Offences per 100k: 2998.51
Bétera; Group: ES; Unemployment (%): 3.86; Offences per 100k: 3668.79
Ourense; Group: ES; Unemployment (%): 11.6; Offences per 100k: 4339.74
Seinäjoki; Group: FI; Unemployment (%): 9.2; Offences per 100k: 8268.9
Pietarsaari; Group: FI; Unemployment (%): 10.8; Offences per 100k: 8377.6
Nokia; Group: FI; Unemployment (%): 11; Offences per 100k: 7358.5
Hyvinkää; Group: FI; Unemployment (%): 11.5; Offences per 100k: 8062.8
Vantaa; Group: FI; Unemployment (%): 13.3; Offences per 100k: 13981.8
Rauma; Group: FI; Unemployment (%): 10.1; Offences per 100k: 7939.8
Lappeenranta; Group: FI; Unemployment (%): 14; Offences per 100k: 9722.2
Oulu; Group: FI; Unemployment (%): 13.7; Offences per 100k: 8793.8
Nurmijärvi; Group: FI; Unemployment (%): 8.5; Offences per 100k: 7383.2
Raahe; Group: FI; Unemployment (%): 13.1; Offences per 100k: 6605.6
Kontiolahti; Group: FI; Unemployment (%): 10.9; Offences per 100k: 5560.3
Pirkkala; Group: FI; Unemployment (%): 8.7; Offences per 100k: 7028.8
Siilinjärvi; Group: FI; Unemployment (%): 9.7; Offences per 100k: 7386.3
Kaunas; Group: LT; Unemployment (%): 6.05; Offences per 100k: 1666.2
Ukmergės municipality; Group: LT; Unemployment (%): 8.5; Offences per 100k: 1239.9
Šiaulių municipality; Group: LT; Unemployment (%): 7.9; Offences per 100k: 1321
Jonavos municipality; Group: LT; Unemployment (%): 10.9; Offences per 100k: 1750.6
Kauno municipality; Group: LT; Unemployment (%): 9.7; Offences per 100k: 1666.2
Vilnius; Group: LT; Unemployment (%): 4.72; Offences per 100k: 1929.2
Hellendoorn; Group: NL; Unemployment (%): 2.8; Offences per 100k: 2340
Olst-Wijhe; Group: NL; Unemployment (%): 2.9; Offences per 100k: 2160
Steenwijkerland; Group: NL; Unemployment (%): 3.1; Offences per 100k: 2620
Baarn; Group: NL; Unemployment (%): 3.3; Offences per 100k: 3960
De Ronde Venen; Group: NL; Unemployment (%): 3.1; Offences per 100k: 2890
Stichtse Vecht; Group: NL; Unemployment (%): 3.2; Offences per 100k: 3860
Lopik; Group: NL; Unemployment (%): 2.9; Offences per 100k: 2060
Woudenberg; Group: NL; Unemployment (%): 2.8; Offences per 100k: 2530
Kapelle; Group: NL; Unemployment (%): 2.6; Offences per 100k: 2420
Sluis; Group: NL; Unemployment (%): 2.9; Offences per 100k: 3110
Apeldoorn; Group: NL; Unemployment (%): 3.3; Offences per 100k: 4530
Purmerend; Group: NL; Unemployment (%): 3.4; Offences per 100k: 3720
Wageningen; Group: NL; Unemployment (%): 4.4; Offences per 100k: 3350
Teylingen; Group: NL; Unemployment (%): 3; Offences per 100k: 3250
Zaltbommel; Group: NL; Unemployment (%): 3.2; Offences per 100k: 3720
Doesburg; Group: NL; Unemployment (%): 3.7; Offences per 100k: 2690
Zeewolde; Group: NL; Unemployment (%): 3.1; Offences per 100k: 3020
Hoogeveen; Group: NL; Unemployment (%): 3.6; Offences per 100k: 4120
Zoeterwoude; Group: NL; Unemployment (%): 2.9; Offences per 100k: 2390
Epe; Group: NL; Unemployment (%): 2.9; Offences per 100k: 3010
Ooststellingwerf; Group: NL; Unemployment (%): 3.4; Offences per 100k: 1740
Ede; Group: NL; Unemployment (%): 3.1; Offences per 100k: 3650
Aalten; Group: NL; Unemployment (%): 2.9; Offences per 100k: 1760
Vijfheerenlanden; Group: NL; Unemployment (%): 3.1; Offences per 100k: 3000
West Betuwe; Group: NL; Unemployment (%): 2.8; Offences per 100k: 3060
Voorst; Group: NL; Unemployment (%): 2.8; Offences per 100k: 2840
Noordwijk; Group: NL; Unemployment (%): 3.1; Offences per 100k: 3480
Rijswijk (ZH.); Group: NL; Unemployment (%): 3.8; Offences per 100k: 5730
Hoeksche Waard; Group: NL; Unemployment (%): 2.9; Offences per 100k: 2610
Overbetuwe; Group: NL; Unemployment (%): 2.8; Offences per 100k: 2980
West Maas en Waal; Group: NL; Unemployment (%): 2.8; Offences per 100k: 2330
Wijchen; Group: NL; Unemployment (%): 3; Offences per 100k: 3190
Nijkerk; Group: NL; Unemployment (%): 2.9; Offences per 100k: 2690
Westerveld; Group: NL; Unemployment (%): 2.9; Offences per 100k: 1930
Zwolle; Group: NL; Unemployment (%): 3.5; Offences per 100k: 5320
Waddinxveen; Group: NL; Unemployment (%): 3; Offences per 100k: 3140
Midden-Drenthe; Group: NL; Unemployment (%): 2.9; Offences per 100k: 2380
Gouda; Group: NL; Unemployment (%): 3.6; Offences per 100k: 5100
Bodegraven-Reeuwijk; Group: NL; Unemployment (%): 2.8; Offences per 100k: 4090
Oldebroek; Group: NL; Unemployment (%): 2.9; Offences per 100k: 2070
Heumen; Group: NL; Unemployment (%): 3.1; Offences per 100k: 2700
Scherpenzeel; Group: NL; Unemployment (%): 2.9; Offences per 100k: 1880
Montferland; Group: NL; Unemployment (%): 3.1; Offences per 100k: 2330
Eijsden-Margraten; Group: NL; Unemployment (%): 2.8; Offences per 100k: 2440
Valkenburg aan de Geul; Group: NL; Unemployment (%): 3.1; Offences per 100k: 5030
Stein (L.); Group: NL; Unemployment (%): 3.2; Offences per 100k: 2640
Nederweert; Group: NL; Unemployment (%): 2.8; Offences per 100k: 2490
Kerkrade; Group: NL; Unemployment (%): 3.8; Offences per 100k: 5140
Brunssum; Group: NL; Unemployment (%): 3.7; Offences per 100k: 4610
Alphen-Chaam; Group: NL; Unemployment (%): 2.7; Offences per 100k: 2170
Bernheze; Group: NL; Unemployment (%): 2.8; Offences per 100k: 2610
Breda; Group: NL; Unemployment (%): 3.5; Offences per 100k: 5870
Eersel; Group: NL; Unemployment (%): 2.8; Offences per 100k: 3050
Gemert-Bakel; Group: NL; Unemployment (%): 2.9; Offences per 100k: 2960
Heeze-Leende; Group: NL; Unemployment (%): 2.7; Offences per 100k: 3070
Loon op Zand; Group: NL; Unemployment (%): 2.7; Offences per 100k: 3570
Oosterhout; Group: NL; Unemployment (%): 3.1; Offences per 100k: 3540
Sint-Michielsgestel; Group: NL; Unemployment (%): 2.8; Offences per 100k: 2190
Veldhoven; Group: NL; Unemployment (%): 3.1; Offences per 100k: 3410
Zundert; Group: NL; Unemployment (%): 2.8; Offences per 100k: 2210
Beverwijk; Group: NL; Unemployment (%): 3.5; Offences per 100k: 4920
Diemen; Group: NL; Unemployment (%): 4.3; Offences per 100k: 4920
Haarlem; Group: NL; Unemployment (%): 4; Offences per 100k: 5750
Heiloo; Group: NL; Unemployment (%): 3.2; Offences per 100k: 2770
Koggenland; Group: NL; Unemployment (%): 2.9; Offences per 100k: 2400
Opmeer; Group: NL; Unemployment (%): 2.8; Offences per 100k: 2160
Uitgeest; Group: NL; Unemployment (%): 2.9; Offences per 100k: 2780
Wormerland; Group: NL; Unemployment (%): 3.1; Offences per 100k: 2380
Dalfsen; Group: NL; Unemployment (%): 2.7; Offences per 100k: 1680
Alta; Group: NO; Unemployment (%): 1.8; Offences per 100k: 6450
Asker; Group: NO; Unemployment (%): 1.8; Offences per 100k: 4500
Austevoll; Group: NO; Unemployment (%): 1.3; Offences per 100k: 2870
Bergen; Group: NO; Unemployment (%): 1.9; Offences per 100k: 6410
Brønnøy; Group: NO; Unemployment (%): 1.2; Offences per 100k: 4210
Elverum; Group: NO; Unemployment (%): 1.8; Offences per 100k: 6940
Flekkefjord; Group: NO; Unemployment (%): 1.7; Offences per 100k: 3400
Gausdal; Group: NO; Unemployment (%): 1; Offences per 100k: 2190
Gloppen; Group: NO; Unemployment (%): 1.9; Offences per 100k: 2760
Halden; Group: NO; Unemployment (%): 2.6; Offences per 100k: 9000
Harstad; Group: NO; Unemployment (%): 0.9; Offences per 100k: 5060
Hole; Group: NO; Unemployment (%): 2.3; Offences per 100k: 4200
Indre Fosen; Group: NO; Unemployment (%): 1.7; Offences per 100k: 3600
Klepp; Group: NO; Unemployment (%): 1.3; Offences per 100k: 4270
Kristiansund; Group: NO; Unemployment (%): 1.6; Offences per 100k: 6330
Levanger; Group: NO; Unemployment (%): 1.2; Offences per 100k: 4150
Lindesnes; Group: NO; Unemployment (%): 1.7; Offences per 100k: 5880
Lyngdal; Group: NO; Unemployment (%): 1.2; Offences per 100k: 4810
Midt-Telemark; Group: NO; Unemployment (%): 2.2; Offences per 100k: 4380
Moss; Group: NO; Unemployment (%): 2.5; Offences per 100k: 5890
Nes; Group: NO; Unemployment (%): 2.1; Offences per 100k: 3650
Nord-Fron; Group: NO; Unemployment (%): 1.1; Offences per 100k: 3940
Orkland; Group: NO; Unemployment (%): 1.7; Offences per 100k: 5450
Østre Toten; Group: NO; Unemployment (%): 1.5; Offences per 100k: 3390
Råde; Group: NO; Unemployment (%): 2.2; Offences per 100k: 5660
Rauma; Group: NO; Unemployment (%): 1.2; Offences per 100k: 4860
Sandefjord; Group: NO; Unemployment (%): 2.3; Offences per 100k: 6140
Skaun; Group: NO; Unemployment (%): 1.3; Offences per 100k: 4000
Søndre Land; Group: NO; Unemployment (%): 2.2; Offences per 100k: 2820
Stange; Group: NO; Unemployment (%): 1.5; Offences per 100k: 4360
Strand; Group: NO; Unemployment (%): 1.4; Offences per 100k: 3540
Surnadal; Group: NO; Unemployment (%): 1.3; Offences per 100k: 2420
Tønsberg; Group: NO; Unemployment (%): 2.3; Offences per 100k: 6890
Tynset; Group: NO; Unemployment (%): 1.4; Offences per 100k: 5000
Vadsø; Group: NO; Unemployment (%): 2; Offences per 100k: 5710
Vestby; Group: NO; Unemployment (%): 1.7; Offences per 100k: 4630
Vindafjord; Group: NO; Unemployment (%): 1.3; Offences per 100k: 4900
Bielsko-Biała; Group: PL; Unemployment (%): 2.5; Offences per 100k: 2431
Częstochowa; Group: PL; Unemployment (%): 3.9; Offences per 100k: 2193
Gliwice; Group: PL; Unemployment (%): 3.3; Offences per 100k: 3073
Jelenia Góra; Group: PL; Unemployment (%): 3.4; Offences per 100k: 4598
Kraków; Group: PL; Unemployment (%): 2.6; Offences per 100k: 2546
Lublin; Group: PL; Unemployment (%): 4.2; Offences per 100k: 2363
Piekary Śląskie; Group: PL; Unemployment (%): 4.6; Offences per 100k: 2027
Radom; Group: PL; Unemployment (%): 8; Offences per 100k: 2325
Siedlce; Group: PL; Unemployment (%): 3.9; Offences per 100k: 1943
Sosnowiec; Group: PL; Unemployment (%): 4.1; Offences per 100k: 2249
Tarnów; Group: PL; Unemployment (%): 4.5; Offences per 100k: 2760
Wrocław; Group: PL; Unemployment (%): 2.2; Offences per 100k: 2879
Lisbon; Group: PT; Unemployment (%): 3; Offences per 100k: 5090
Chamusca; Group: PT; Unemployment (%): 1.16; Offences per 100k: 3020
Constância; Group: PT; Unemployment (%): 2.98; Offences per 100k: 2360
Mourão; Group: PT; Unemployment (%): 5.78; Offences per 100k: 6230
Mesão Frio; Group: PT; Unemployment (%): 4.53; Offences per 100k: 3920
Mira; Group: PT; Unemployment (%): 2.03; Offences per 100k: 2940
Vouzela; Group: PT; Unemployment (%): 1.97; Offences per 100k: 2590
Vila Viçosa; Group: PT; Unemployment (%): 1.77; Offences per 100k: 2420
Caminha; Group: PT; Unemployment (%): 1.67; Offences per 100k: 3990
São Pedro do Sul; Group: PT; Unemployment (%): 2.65; Offences per 100k: 2100
Mora; Group: PT; Unemployment (%): 1.79; Offences per 100k: 3250
Amadora; Group: PT; Unemployment (%): 2.37; Offences per 100k: 3330
Vila do Bispo; Group: PT; Unemployment (%): 2.19; Offences per 100k: 4920
Barcelos; Group: PT; Unemployment (%): 2.06; Offences per 100k: 1990
Águeda; Group: PT; Unemployment (%): 2.14; Offences per 100k: 2380
Óbidos; Group: PT; Unemployment (%): 1.49; Offences per 100k: 2880
Cadaval; Group: PT; Unemployment (%): 2.39; Offences per 100k: 2860
Sines; Group: PT; Unemployment (%): 3.18; Offences per 100k: 4610
Mealhada; Group: PT; Unemployment (%): 1.58; Offences per 100k: 2650
Ovar; Group: PT; Unemployment (%): 2.28; Offences per 100k: 2670
Vila Nova de Poiares; Group: PT; Unemployment (%): 1.88; Offences per 100k: 1550
Alter do Chão; Group: PT; Unemployment (%): 4.63; Offences per 100k: 4210
Amares; Group: PT; Unemployment (%): 2.18; Offences per 100k: 2430
Arcos de Valdevez; Group: PT; Unemployment (%): 1.76; Offences per 100k: 3540
Vila Real; Group: PT; Unemployment (%): 3.41; Offences per 100k: 2330
Vila Nova de Foz Côa; Group: PT; Unemployment (%): 2.15; Offences per 100k: 3340
Cabeceiras de Basto; Group: PT; Unemployment (%): 2.9; Offences per 100k: 2260
Vieira do Minho; Group: PT; Unemployment (%): 2.44; Offences per 100k: 2370
Celorico de Basto; Group: PT; Unemployment (%): 2.83; Offences per 100k: 2240
Vidigueira; Group: PT; Unemployment (%): 3.54; Offences per 100k: 4420
Póvoa de Lanhoso; Group: PT; Unemployment (%): 2.4; Offences per 100k: 3090
Ferreira do Alentejo; Group: PT; Unemployment (%): 2.96; Offences per 100k: 4310
São João da Madeira; Group: PT; Unemployment (%): 3.15; Offences per 100k: 2590
Loulé; Group: PT; Unemployment (%): 1.74; Offences per 100k: 4960
Alcochete; Group: PT; Unemployment (%): 2.07; Offences per 100k: 3100
Paredes; Group: PT; Unemployment (%): 2.52; Offences per 100k: 2090
Fronteira; Group: PT; Unemployment (%): 2.94; Offences per 100k: 1920
Arraiolos; Group: PT; Unemployment (%): 1.48; Offences per 100k: 2420
Alandroal; Group: PT; Unemployment (%): 1.49; Offences per 100k: 2220
Guarda; Group: PT; Unemployment (%): 2.04; Offences per 100k: 2550
Seia; Group: PT; Unemployment (%): 2.8; Offences per 100k: 3200
Avis; Group: PT; Unemployment (%): 2.52; Offences per 100k: 8080
Torres Novas; Group: PT; Unemployment (%): 2.16; Offences per 100k: 3200
Matosinhos; Group: PT; Unemployment (%): 2.98; Offences per 100k: 2910
Palmela; Group: PT; Unemployment (%): 3.03; Offences per 100k: 3310
Penedono; Group: PT; Unemployment (%): 2.87; Offences per 100k: 2000
Borba; Group: PT; Unemployment (%): 2.7; Offences per 100k: 2700
Vila Franca de Xira; Group: PT; Unemployment (%): 2.58; Offences per 100k: 2360
Oeiras; Group: PT; Unemployment (%): 1.98; Offences per 100k: 2380
Aljustrel; Group: PT; Unemployment (%): 3.07; Offences per 100k: 3020
Pombal; Group: PT; Unemployment (%): 1.82; Offences per 100k: 2100
Grândola; Group: PT; Unemployment (%): 1.36; Offences per 100k: 5070
Mafra; Group: PT; Unemployment (%): 1.55; Offences per 100k: 2620
Tábua; Group: PT; Unemployment (%): 2.75; Offences per 100k: 2120
Maia; Group: PT; Unemployment (%): 2.21; Offences per 100k: 2840
Reguengos de Monsaraz; Group: PT; Unemployment (%): 3.26; Offences per 100k: 3420
Penamacor; Group: PT; Unemployment (%): 1.87; Offences per 100k: 4320
Idanha-a-Nova; Group: PT; Unemployment (%): 4.39; Offences per 100k: 4840
Hallstahammar; Group: SE; Unemployment (%): 12.3; Offences per 100k: 11181
Sollentuna; Group: SE; Unemployment (%): 11.3; Offences per 100k: 11473
Strängnäs; Group: SE; Unemployment (%): 10.6; Offences per 100k: 9362
Danderyd; Group: SE; Unemployment (%): 6.7; Offences per 100k: 10914
Österåker; Group: SE; Unemployment (%): 8; Offences per 100k: 8653
Stockholm; Group: SE; Unemployment (%): 11.4; Offences per 100k: 19159
Åstorp; Group: SE; Unemployment (%): 16.7; Offences per 100k: 11700
Norrköping; Group: SE; Unemployment (%): 14.5; Offences per 100k: 12832
Kalmar; Group: SE; Unemployment (%): 11.4; Offences per 100k: 12771
Jönköping; Group: SE; Unemployment (%): 10.1; Offences per 100k: 9782
Nyköping; Group: SE; Unemployment (%): 13.2; Offences per 100k: 13635
Luleå; Group: SE; Unemployment (%): 8; Offences per 100k: 10493
Höör; Group: SE; Unemployment (%): 9.5; Offences per 100k: 9506
Uddevalla; Group: SE; Unemployment (%): 12.8; Offences per 100k: 11041
Öckerö; Group: SE; Unemployment (%): 5.4; Offences per 100k: 5696
Orust; Group: SE; Unemployment (%): 7.1; Offences per 100k: 7573
Mariestad; Group: SE; Unemployment (%): 8.6; Offences per 100k: 9869
Ekerö; Group: SE; Unemployment (%): 6.7; Offences per 100k: 8477
Kungsbacka; Group: SE; Unemployment (%): 6.4; Offences per 100k: 7590
Nykvarn; Group: SE; Unemployment (%): 7.9; Offences per 100k: 8113
Mark; Group: SE; Unemployment (%): 9.2; Offences per 100k: 7688
Tjörn; Group: SE; Unemployment (%): 6.1; Offences per 100k: 6269
Landskrona; Group: SE; Unemployment (%): 16.9; Offences per 100k: 14578
Ludvika; Group: SE; Unemployment (%): 11.3; Offences per 100k: 8143
Trelleborg; Group: SE; Unemployment (%): 12.9; Offences per 100k: 10142
Staffanstorp; Group: SE; Unemployment (%): 9.4; Offences per 100k: 7863
Oskarshamn; Group: SE; Unemployment (%): 9.9; Offences per 100k: 9451
Tranås; Group: SE; Unemployment (%): 11.9; Offences per 100k: 10355
Oxelösund; Group: SE; Unemployment (%): 13; Offences per 100k: 11120
Falkenberg; Group: SE; Unemployment (%): 10.7; Offences per 100k: 9428
Torsby; Group: SE; Unemployment (%): 7.6; Offences per 100k: 8310
Tanum; Group: SE; Unemployment (%): 8; Offences per 100k: 9886
Bjuv; Group: SE; Unemployment (%): 15.8; Offences per 100k: 13809
Hagfors; Group: SE; Unemployment (%): 9.1; Offences per 100k: 7739
Kävlinge; Group: SE; Unemployment (%): 9.3; Offences per 100k: 8343
Skurup; Group: SE; Unemployment (%): 11.2; Offences per 100k: 9901
Tingsryd; Group: SE; Unemployment (%): 10.6; Offences per 100k: 11139
Heby; Group: SE; Unemployment (%): 11.7; Offences per 100k: 9497
Östhammar; Group: SE; Unemployment (%): 7.4; Offences per 100k: 6656
Kiruna; Group: SE; Unemployment (%): 5.3; Offences per 100k: 8566
Sundbyberg; Group: SE; Unemployment (%): 12; Offences per 100k: 14369
Swindon; Group: UK; Unemployment (%): 2.6; Offences per 100k: 6916.42
Southend-on-Sea; Group: UK; Unemployment (%): 2.14; Offences per 100k: 9645.571533
Reading; Group: UK; Unemployment (%): 4.31; Offences per 100k: 9794.595067
Oxford; Group: UK; Unemployment (%): 4.4; Offences per 100k: 9634.21
Milton Keynes; Group: UK; Unemployment (%): 4.93; Offences per 100k: 8775.548901
Leicester; Group: UK; Unemployment (%): 5.24; Offences per 100k: 11001.472906
Harrow; Group: UK; Unemployment (%): 7; Offences per 100k: 5908.76
Derby; Group: UK; Unemployment (%): 4.08; Offences per 100k: 11150.870512
Burnley; Group: UK; Unemployment (%): 6.37; Offences per 100k: 10560.1
Bolton; Group: UK; Unemployment (%): 5.3; Offences per 100k: 9808.48
Watford (Watford); Group: UK; Unemployment (%): 4.2; Offences per 100k: 8634.75
Camilla; Group: US; Unemployment (%): 10.895757; Offences per 100k: 1678.846534
Indianapolis; Group: US; Unemployment (%): 5.080925; Offences per 100k: 4213.9
Marksville; Group: US; Unemployment (%): 5.105921; Offences per 100k: 5417.891642
Whiteville; Group: US; Unemployment (%): 3.23741; Offences per 100k: 8508.809626
Collingswood; Group: US; Unemployment (%): 5.526565; Offences per 100k: 3159.4163
Lindenwold; Group: US; Unemployment (%): 4.583443; Offences per 100k: 2515.326361
Somerdale; Group: US; Unemployment (%): 6.682416; Offences per 100k: 5533.110838
Brookhaven; Group: US; Unemployment (%): 3.468573; Offences per 100k: 2846.460017
Folcroft; Group: US; Unemployment (%): 10.320174; Offences per 100k: 2798.868543
Lansdowne; Group: US; Unemployment (%): 7.415324; Offences per 100k: 1743.293289
Sharon Hill; Group: US; Unemployment (%): 16.569066; Offences per 100k: 2154.15685
Brady; Group: US; Unemployment (%): 10.02331; Offences per 100k: 1096.224117
North Andover; Group: US; Unemployment (%): 3.7; Offences per 100k: 705.179528
Easton; Group: US; Unemployment (%): 2.5; Offences per 100k: 522.739153
Hamden; Group: US; Unemployment (%): 2.8; Offences per 100k: 3548.774788
Milford; Group: US; Unemployment (%): 4.404961; Offences per 100k: 2212.381042
North Branford; Group: US; Unemployment (%): 2.9; Offences per 100k: 717.22077
Plainville; Group: US; Unemployment (%): 2.9; Offences per 100k: 1576.78245
Southington; Group: US; Unemployment (%): 2.5; Offences per 100k: 1580.423727
Wethersfield; Group: US; Unemployment (%): 3.415055; Offences per 100k: 1429.468474
Wolcott; Group: US; Unemployment (%): 2.8; Offences per 100k: 201.477502
Watseka; Group: US; Unemployment (%): 5.828954; Offences per 100k: 1547.779273
Adams; Group: US; Unemployment (%): 6.266222; Offences per 100k: 1510.003775
Ashland; Group: US; Unemployment (%): 3.6; Offences per 100k: 774.084089
Billerica; Group: US; Unemployment (%): 3.6; Offences per 100k: 512.614571
Charlton; Group: US; Unemployment (%): 4.3; Offences per 100k: 453.481568
Danvers; Group: US; Unemployment (%): 4.710512; Offences per 100k: 1617.621145
Dudley; Group: US; Unemployment (%): 3.9; Offences per 100k: 290.384137
Easthampton; Group: US; Unemployment (%): 4.707323; Offences per 100k: 669.461303
Grafton; Group: US; Unemployment (%): 3.4; Offences per 100k: 244.331509
Hanson; Group: US; Unemployment (%): 9.074573; Offences per 100k: 324.91645
Holden; Group: US; Unemployment (%): 3.5; Offences per 100k: 314.929633
Lancaster; Group: US; Unemployment (%): 3.6; Offences per 100k: 768.892794
Ludlow; Group: US; Unemployment (%): 4.2; Offences per 100k: 788.584303
Mashpee; Group: US; Unemployment (%): 5.3; Offences per 100k: 727.663883
Mendon; Group: US; Unemployment (%): 3.5; Offences per 100k: 416.281221
Millbury; Group: US; Unemployment (%): 4; Offences per 100k: 1556.393076
Nantucket; Group: US; Unemployment (%): 6.125828; Offences per 100k: 1115.694097
Northborough; Group: US; Unemployment (%): 2.852154; Offences per 100k: 200.312989
Plainville; Group: US; Unemployment (%): 3.6; Offences per 100k: 2029.648791
Saugus; Group: US; Unemployment (%): 3.841898; Offences per 100k: 1651.816313
Southborough; Group: US; Unemployment (%): 3.4; Offences per 100k: 282.485876
Sutton; Group: US; Unemployment (%): 3.3; Offences per 100k: 466.659753
Wakefield; Group: US; Unemployment (%): 4.356975; Offences per 100k: 584.038609
Webster; Group: US; Unemployment (%): 8.936043; Offences per 100k: 1437.681808
Westminster; Group: US; Unemployment (%): 3.9; Offences per 100k: 745.399488
Winchester; Group: US; Unemployment (%): 3.777649; Offences per 100k: 400.206558
Eliot; Group: US; Unemployment (%): 6.269734; Offences per 100k: 199.707096
Old Orchard Beach; Group: US; Unemployment (%): 6.763463; Offences per 100k: 1147.006209
Yarmouth; Group: US; Unemployment (%): 5.525947; Offences per 100k: 509.074812
Bedford; Group: US; Unemployment (%): 2.5; Offences per 100k: 870.547859
Hanover; Group: US; Unemployment (%): 8.187321; Offences per 100k: 450.849368
Litchfield; Group: US; Unemployment (%): 3.2; Offences per 100k: 164.435048
New Ipswich; Group: US; Unemployment (%): 2.8; Offences per 100k: 738.416097
Rindge; Group: US; Unemployment (%): 3.5; Offences per 100k: 784.313725
Windham; Group: US; Unemployment (%): 3.5; Offences per 100k: 241.366506
Bernardsville; Group: US; Unemployment (%): 4.345816; Offences per 100k: 636.068845
Cliffside Park; Group: US; Unemployment (%): 4.418284; Offences per 100k: 769.967439
Eatontown; Group: US; Unemployment (%): 6.668424; Offences per 100k: 2108.389013
Fanwood; Group: US; Unemployment (%): 2.719175; Offences per 100k: 744.544288
Glen Rock; Group: US; Unemployment (%): 5.995682; Offences per 100k: 632.552104
Jamesburg; Group: US; Unemployment (%): 3.482881; Offences per 100k: 393.095197
Leonia; Group: US; Unemployment (%): 6.005613; Offences per 100k: 515.409698
Matawan; Group: US; Unemployment (%): 5.12458; Offences per 100k: 20.498104
Milltown; Group: US; Unemployment (%): 3.452325; Offences per 100k: 1351.541602
New Milford; Group: US; Unemployment (%): 6.415094; Offences per 100k: 498.233011
Oakland; Group: US; Unemployment (%): 5.40134; Offences per 100k: 370.828183
Palmyra; Group: US; Unemployment (%): 6.464954; Offences per 100k: 2064.464571
Ringwood; Group: US; Unemployment (%): 4.849354; Offences per 100k: 215.090768
Rumson; Group: US; Unemployment (%): 4.542967; Offences per 100k: 392.872176
Tenafly; Group: US; Unemployment (%): 6.839908; Offences per 100k: 472.461329
Washington; Group: US; Unemployment (%): 3.010906; Offences per 100k: 734.394125
Woodcliff Lake; Group: US; Unemployment (%): 12.030323; Offences per 100k: 735.294118
Ambridge; Group: US; Unemployment (%): 9.414172; Offences per 100k: 2686.131387
Bethel Park; Group: US; Unemployment (%): 2.758203; Offences per 100k: 689.89199
California; Group: US; Unemployment (%): 10.835031; Offences per 100k: 1577.350859
Clarion; Group: US; Unemployment (%): 9.76378; Offences per 100k: 789.177001
Crafton; Group: US; Unemployment (%): 7.439887; Offences per 100k: 2306.9529
Edinboro; Group: US; Unemployment (%): 0.398883; Offences per 100k: 890.39987
Greenville; Group: US; Unemployment (%): 4.742345; Offences per 100k: 1316.752012
Indiana; Group: US; Unemployment (%): 9.592832; Offences per 100k: 855.47364
Latrobe; Group: US; Unemployment (%): 5.446429; Offences per 100k: 914.053574
Middletown; Group: US; Unemployment (%): 4.407514; Offences per 100k: 778.897082
Mount Joy; Group: US; Unemployment (%): 1.25026; Offences per 100k: 431.189364
New Cumberland; Group: US; Unemployment (%): 3.984998; Offences per 100k: 489.417989
Olyphant; Group: US; Unemployment (%): 4.704387; Offences per 100k: 408.769974
Plum; Group: US; Unemployment (%): 2.780611; Offences per 100k: 214.190094
Sayre; Group: US; Unemployment (%): 11.870748; Offences per 100k: 589.695841
Souderton; Group: US; Unemployment (%): 4.127893; Offences per 100k: 889.801506
Sugarcreek; Group: US; Unemployment (%): 6.690319; Offences per 100k: 533.845825
West View; Group: US; Unemployment (%): 5.132656; Offences per 100k: 990.721812
Bristol; Group: US; Unemployment (%): 3.5; Offences per 100k: 242.565807
Hopkinton; Group: US; Unemployment (%): 0; Offences per 100k: 387.005981
North Providence; Group: US; Unemployment (%): 4.6; Offences per 100k: 739.339252
Warren; Group: US; Unemployment (%): 3.4; Offences per 100k: 850.611377
Colchester; Group: US; Unemployment (%): 2.3; Offences per 100k: 1975.364705
Bisbee; Group: US; Unemployment (%): 13.573701; Offences per 100k: 737.198645
Manitou Springs; Group: US; Unemployment (%): 11.795544; Offences per 100k: 1784.140969
Sitka; Group: US; Unemployment (%): 6.782232; Offences per 100k: 830.724777
St Johnsbury; Group: US; Unemployment (%): 4.162633; Offences per 100k: 2276.094276
Alabaster; Group: US; Unemployment (%): 2.5024; Offences per 100k: 1609.944977
Arab; Group: US; Unemployment (%): 3.2098; Offences per 100k: 3805.803571
Bay Minette; Group: US; Unemployment (%): 7.2115; Offences per 100k: 2045.884579
Chickasaw; Group: US; Unemployment (%): 4.5844; Offences per 100k: 2585.929971
Decatur; Group: US; Unemployment (%): 4.4538; Offences per 100k: 2915.54158
Fairhope; Group: US; Unemployment (%): 3.491; Offences per 100k: 1260.569389
Fultondale; Group: US; Unemployment (%): 3.3299; Offences per 100k: 3010.594776
Guntersville; Group: US; Unemployment (%): 3.0778; Offences per 100k: 2776.567944
Homewood; Group: US; Unemployment (%): 2.2595; Offences per 100k: 2105.149907
Jacksonville; Group: US; Unemployment (%): 7.4786; Offences per 100k: 2268.431002
Loxley; Group: US; Unemployment (%): 1.3528; Offences per 100k: 2736.169363
Monroeville; Group: US; Unemployment (%): 11.2879; Offences per 100k: 829.216655
Muscle Shoals; Group: US; Unemployment (%): 2.3041; Offences per 100k: 3165.533398
Orange Beach; Group: US; Unemployment (%): 3.8303; Offences per 100k: 2202.236827
Phenix City; Group: US; Unemployment (%): 5.3565; Offences per 100k: 4248.101662
Rainbow City; Group: US; Unemployment (%): 10.3356; Offences per 100k: 1013.317892
Saraland; Group: US; Unemployment (%): 3.6386; Offences per 100k: 1787.337171
Sheffield; Group: US; Unemployment (%): 5.2233; Offences per 100k: 2413.793103
Talladega; Group: US; Unemployment (%): 12.6288; Offences per 100k: 3982.179575
Tuscumbia; Group: US; Unemployment (%): 1.7166; Offences per 100k: 510.425717
Anchorage municipality; Group: US; Unemployment (%): 4.5823; Offences per 100k: 3780.692645
Kenai; Group: US; Unemployment (%): 7.4365; Offences per 100k: 1095.40186
Wasilla; Group: US; Unemployment (%): 8.2005; Offences per 100k: 2871.09375
Bullhead City; Group: US; Unemployment (%): 11.5375; Offences per 100k: 2647.815495
Coolidge; Group: US; Unemployment (%): 14.1056; Offences per 100k: 1834.681397
Flagstaff; Group: US; Unemployment (%): 5.6913; Offences per 100k: 2695.170934
Goodyear; Group: US; Unemployment (%): 4.1775; Offences per 100k: 1645.108305
Maricopa; Group: US; Unemployment (%): 4.9816; Offences per 100k: 1093.712805
Paradise Valley; Group: US; Unemployment (%): 2.1269; Offences per 100k: 1069.131833
Prescott Valley; Group: US; Unemployment (%): 2.7833; Offences per 100k: 993.817983
Sedona; Group: US; Unemployment (%): 6.1823; Offences per 100k: 1612.412534
Tempe; Group: US; Unemployment (%): 5.4907; Offences per 100k: 3364.058189
Wickenburg; Group: US; Unemployment (%): 0.4477; Offences per 100k: 970.873786
Barling; Group: US; Unemployment (%): 1.826; Offences per 100k: 1695.86284
Bentonville; Group: US; Unemployment (%): 3.1425; Offences per 100k: 1083.310151
Camden; Group: US; Unemployment (%): 6.7778; Offences per 100k: 5137.157107
De Queen; Group: US; Unemployment (%): 4.8448; Offences per 100k: 1933.977993
Fort Smith; Group: US; Unemployment (%): 6.5375; Offences per 100k: 4526.712382
Hope; Group: US; Unemployment (%): 6.0069; Offences per 100k: 3907.637655
Lowell; Group: US; Unemployment (%): 1.3804; Offences per 100k: 897.308076
Maumelle; Group: US; Unemployment (%): 3.8356; Offences per 100k: 1296.372207
Newport; Group: US; Unemployment (%): 8.7087; Offences per 100k: 1725.200246
Pocahontas; Group: US; Unemployment (%): 5.5895; Offences per 100k: 3129.890454
Sheridan; Group: US; Unemployment (%): 5.907; Offences per 100k: 1651.480638
Texarkana; Group: US; Unemployment (%): 7.5301; Offences per 100k: 4397.90217
Warren; Group: US; Unemployment (%): 8.4374; Offences per 100k: 1361.602801
Agoura Hills; Group: US; Unemployment (%): 5.1656; Offences per 100k: 1019.293775
American Canyon; Group: US; Unemployment (%): 5.5696; Offences per 100k: 1566.111609
Arcadia; Group: US; Unemployment (%): 5.7083; Offences per 100k: 3050.733187
Atascadero; Group: US; Unemployment (%): 4.5956; Offences per 100k: 1148.728314
Azusa; Group: US; Unemployment (%): 6.0762; Offences per 100k: 1754.570067
Beaumont; Group: US; Unemployment (%): 4.9225; Offences per 100k: 1222.343848
Benicia; Group: US; Unemployment (%): 4.5301; Offences per 100k: 1163.811195
Brea; Group: US; Unemployment (%): 5.0977; Offences per 100k: 3075.601726
Burlingame; Group: US; Unemployment (%): 5.6754; Offences per 100k: 2208.951172
Calipatria; Group: US; Unemployment (%): 7.3014; Offences per 100k: 299.003322
Carlsbad; Group: US; Unemployment (%): 5.5136; Offences per 100k: 1710.271361
Ceres; Group: US; Unemployment (%): 10.1629; Offences per 100k: 2244.995531
Chowchilla; Group: US; Unemployment (%): 10.555; Offences per 100k: 1866.283839
Clearlake; Group: US; Unemployment (%): 14.7541; Offences per 100k: 2413.162706
Colton; Group: US; Unemployment (%): 7.4928; Offences per 100k: 2498.447877
Corcoran; Group: US; Unemployment (%): 11.1092; Offences per 100k: 1539.095781
Cotati; Group: US; Unemployment (%): 3.65; Offences per 100k: 1247.119425
Cupertino; Group: US; Unemployment (%): 4.027; Offences per 100k: 1678.04878
Davis; Group: US; Unemployment (%): 6.2624; Offences per 100k: 2397.568835
Dixon; Group: US; Unemployment (%): 5.8524; Offences per 100k: 1561.694671
East Palo Alto; Group: US; Unemployment (%): 5.1121; Offences per 100k: 2526.840907
Elk Grove; Group: US; Unemployment (%): 6.3972; Offences per 100k: 1421.758603
Encinitas; Group: US; Unemployment (%): 4.5035; Offences per 100k: 1156.117166
Fairfax; Group: US; Unemployment (%): 10.2431; Offences per 100k: 1073.077968
Folsom; Group: US; Unemployment (%): 6.2881; Offences per 100k: 1635.481475
Fountain Valley; Group: US; Unemployment (%): 5.6499; Offences per 100k: 1962.710323
Galt; Group: US; Unemployment (%): 6.0978; Offences per 100k: 1883.282957
Glendora; Group: US; Unemployment (%): 6.0525; Offences per 100k: 2167.453598
Grass Valley; Group: US; Unemployment (%): 7.3663; Offences per 100k: 2686.567164
Gustine; Group: US; Unemployment (%): 11.2974; Offences per 100k: 1199.474203
Healdsburg; Group: US; Unemployment (%): 7.7877; Offences per 100k: 1743.765811
Highland; Group: US; Unemployment (%): 6.1839; Offences per 100k: 1857.479977
Huntington Beach; Group: US; Unemployment (%): 5.4216; Offences per 100k: 2196.432047
Inglewood; Group: US; Unemployment (%): 8.2818; Offences per 100k: 4288.996933
Kerman; Group: US; Unemployment (%): 10.4478; Offences per 100k: 1851.956731
Laguna Beach; Group: US; Unemployment (%): 4.9925; Offences per 100k: 1116.888989
La Habra Heights; Group: US; Unemployment (%): 2.8305; Offences per 100k: 853.404134
Lakewood; Group: US; Unemployment (%): 5.1988; Offences per 100k: 3038.350387
La Puente; Group: US; Unemployment (%): 6.2251; Offences per 100k: 1700.133126
Lemon Grove; Group: US; Unemployment (%): 5.5837; Offences per 100k: 1516.745891
Livingston; Group: US; Unemployment (%): 11.6453; Offences per 100k: 1778.70959
Los Alamitos; Group: US; Unemployment (%): 9.1634; Offences per 100k: 2185.01465
Los Gatos; Group: US; Unemployment (%): 4.9716; Offences per 100k: 1580.369486
Mammoth Lakes; Group: US; Unemployment (%): 3.3081; Offences per 100k: 1659.461721
Marysville; Group: US; Unemployment (%): 9.2288; Offences per 100k: 2805.960685
Menlo Park; Group: US; Unemployment (%): 4.7744; Offences per 100k: 2009.532397
Modesto; Group: US; Unemployment (%): 7.2044; Offences per 100k: 3070.459838
Monterey Park; Group: US; Unemployment (%): 6.0559; Offences per 100k: 2384.718122
Morro Bay; Group: US; Unemployment (%): 7.9859; Offences per 100k: 1082.415496
Newark; Group: US; Unemployment (%): 4.3246; Offences per 100k: 4343.546731
Novato; Group: US; Unemployment (%): 5.9032; Offences per 100k: 1607.553943
Ojai; Group: US; Unemployment (%): 4.5791; Offences per 100k: 1038.855909
Orland; Group: US; Unemployment (%): 5.0304; Offences per 100k: 1152.702033
Palmdale; Group: US; Unemployment (%): 8.316; Offences per 100k: 2415.981583
Palos Verdes Estates; Group: US; Unemployment (%): 4.7406; Offences per 100k: 812.419562
Patterson; Group: US; Unemployment (%): 5.7474; Offences per 100k: 1231.807305
Pinole; Group: US; Unemployment (%): 4.2347; Offences per 100k: 2457.673403
Pleasant Hill; Group: US; Unemployment (%): 4.8489; Offences per 100k: 4260.711411
Poway; Group: US; Unemployment (%): 5.1765; Offences per 100k: 717.453146
Rancho Santa Margarita; Group: US; Unemployment (%): 4.0544; Offences per 100k: 604.825455
Redwood City; Group: US; Unemployment (%): 4.099; Offences per 100k: 2092.180864
Rio Vista; Group: US; Unemployment (%): 10.8945; Offences per 100k: 628.005103
Rocklin; Group: US; Unemployment (%): 4.4617; Offences per 100k: 1068.226016
Sacramento; Group: US; Unemployment (%): 6.5564; Offences per 100k: 3302.257581
San Buenaventura (Ventura); Group: US; Unemployment (%): 4.8122; Offences per 100k: 2616.474577
San Francisco; Group: US; Unemployment (%): 6.0927; Offences per 100k: 4525.6
San Juan Capistrano; Group: US; Unemployment (%): 3.6167; Offences per 100k: 1242.056615
San Mateo; Group: US; Unemployment (%): 4.5637; Offences per 100k: 2126.509822
Santa Barbara; Group: US; Unemployment (%): 5.7522; Offences per 100k: 2458.079713
Santa Maria; Group: US; Unemployment (%): 7.2892; Offences per 100k: 2543.250709
Saratoga; Group: US; Unemployment (%): 3.9838; Offences per 100k: 688.709954
Seaside; Group: US; Unemployment (%): 5.9038; Offences per 100k: 1345.81249
Signal Hill; Group: US; Unemployment (%): 4.9449; Offences per 100k: 6830.502349
Sonoma; Group: US; Unemployment (%): 5.7017; Offences per 100k: 1332.325428
South San Francisco; Group: US; Unemployment (%): 2.8029; Offences per 100k: 1859.261759
Susanville; Group: US; Unemployment (%): 9.2541; Offences per 100k: 1837.540787
Thousand Oaks; Group: US; Unemployment (%): 5.3644; Offences per 100k: 1122.888455
Tulare; Group: US; Unemployment (%): 8.6007; Offences per 100k: 2414.596382
Union City; Group: US; Unemployment (%): 5.2781; Offences per 100k: 2643.178692
Victorville; Group: US; Unemployment (%): 11.1036; Offences per 100k: 3144.488237
Walnut Creek; Group: US; Unemployment (%): 5.9997; Offences per 100k: 3178.409487
Westlake Village; Group: US; Unemployment (%): 4.3748; Offences per 100k: 2070.727444
Williams; Group: US; Unemployment (%): 17.2219; Offences per 100k: 1506.557958
Yorba Linda; Group: US; Unemployment (%): 4.6557; Offences per 100k: 858.421543
Alamosa; Group: US; Unemployment (%): 4.3972; Offences per 100k: 5723.803755
Boulder; Group: US; Unemployment (%): 6.0067; Offences per 100k: 3055.278293
Castle Rock; Group: US; Unemployment (%): 4.3649; Offences per 100k: 973.863826
Cortez; Group: US; Unemployment (%): 4.0911; Offences per 100k: 3399.122807
Denver; Group: US; Unemployment (%): 4.8836; Offences per 100k: 5754.6
Estes Park; Group: US; Unemployment (%): 0.7967; Offences per 100k: 1017.416796
Fort Morgan; Group: US; Unemployment (%): 6.3946; Offences per 100k: 2265.064407
Golden; Group: US; Unemployment (%): 3.576; Offences per 100k: 2510.771059
Gypsum; Group: US; Unemployment (%): 0.8958; Offences per 100k: 384.573124
Lamar; Group: US; Unemployment (%): 4.7856; Offences per 100k: 522.228174
Louisville; Group: US; Unemployment (%): 3.6333; Offences per 100k: 1916.96464
Monument; Group: US; Unemployment (%): 4.326; Offences per 100k: 1984.09574
Rifle; Group: US; Unemployment (%): 2.995; Offences per 100k: 1310.45536
Steamboat Springs; Group: US; Unemployment (%): 3.0151; Offences per 100k: 1587.534911
Westminster; Group: US; Unemployment (%): 3.6605; Offences per 100k: 3843.933164
Bridgeport; Group: US; Unemployment (%): 8.9516; Offences per 100k: 1861.852942
Hartford; Group: US; Unemployment (%): 10.7427; Offences per 100k: 3361.309414
New Haven; Group: US; Unemployment (%): 8.3822; Offences per 100k: 4121.885998
Stamford; Group: US; Unemployment (%): 4.918; Offences per 100k: 1382.589773
Elsmere; Group: US; Unemployment (%): 4.8398; Offences per 100k: 2021.189894
Newark; Group: US; Unemployment (%): 6.6989; Offences per 100k: 2307.692308
Wilmington; Group: US; Unemployment (%): 7.3138; Offences per 100k: 4285.833403
Alpharetta; Group: US; Unemployment (%): 4.9354; Offences per 100k: 1401.427981
Blakely; Group: US; Unemployment (%): 4.1686; Offences per 100k: 2877.558903
Cairo; Group: US; Unemployment (%): 5.1606; Offences per 100k: 2722.797147
Chamblee; Group: US; Unemployment (%): 2.1616; Offences per 100k: 4179.132098
Cordele; Group: US; Unemployment (%): 7.4828; Offences per 100k: 5326.7773
Doraville; Group: US; Unemployment (%): 1.2236; Offences per 100k: 5785.734059
East Point; Group: US; Unemployment (%): 6.8599; Offences per 100k: 7869.813197
Fitzgerald; Group: US; Unemployment (%): 3.1758; Offences per 100k: 3754.763506
Garden City; Group: US; Unemployment (%): 8.5764; Offences per 100k: 4023.931294
Hiram; Group: US; Unemployment (%): 3.8462; Offences per 100k: 5171.158048
Kennesaw; Group: US; Unemployment (%): 6.1493; Offences per 100k: 1098.525813
Locust Grove; Group: US; Unemployment (%): 9.9346; Offences per 100k: 3222.57472
Marietta; Group: US; Unemployment (%): 3.8296; Offences per 100k: 2108.785554
Moultrie; Group: US; Unemployment (%): 7.0812; Offences per 100k: 6070.39736
Palmetto; Group: US; Unemployment (%): 1.1672; Offences per 100k: 517.515924
Richmond Hill; Group: US; Unemployment (%): 5.8144; Offences per 100k: 1233.531048
Roswell; Group: US; Unemployment (%): 3.7825; Offences per 100k: 1180.969397
Smyrna; Group: US; Unemployment (%): 3.6746; Offences per 100k: 1539.68254
Stone Mountain; Group: US; Unemployment (%): 6.9918; Offences per 100k: 2413.528055
Thomasville; Group: US; Unemployment (%): 5.8766; Offences per 100k: 3944.302974
Warner Robins; Group: US; Unemployment (%): 6.4203; Offences per 100k: 3646.100116
Blackfoot; Group: US; Unemployment (%): 7.7579; Offences per 100k: 1197.332525
Emmett; Group: US; Unemployment (%): 2.125; Offences per 100k: 752.908966
Jerome; Group: US; Unemployment (%): 4.5756; Offences per 100k: 806.030301
Middleton; Group: US; Unemployment (%): 4.1207; Offences per 100k: 727.272727
Pocatello; Group: US; Unemployment (%): 4.3547; Offences per 100k: 1927.735508
Rigby; Group: US; Unemployment (%): 2.2053; Offences per 100k: 1355.107714
Weiser; Group: US; Unemployment (%): 5.8924; Offences per 100k: 177.591217
Antioch; Group: US; Unemployment (%): 8.2062; Offences per 100k: 570.201919
Bartonville; Group: US; Unemployment (%): 1.0631; Offences per 100k: 2408.376963
Bensenville; Group: US; Unemployment (%): 5.5892; Offences per 100k: 1289.791438
Blue Island; Group: US; Unemployment (%): 15.476; Offences per 100k: 3121.016101
Brookfield; Group: US; Unemployment (%): 3.2831; Offences per 100k: 736.497545
Calumet Park; Group: US; Unemployment (%): 15.3711; Offences per 100k: 4509.565746
Carpentersville; Group: US; Unemployment (%): 5.8658; Offences per 100k: 890.505796
Charleston; Group: US; Unemployment (%): 6.1271; Offences per 100k: 2152.503391
Chicago Ridge; Group: US; Unemployment (%): 5.4816; Offences per 100k: 2079.367404
Coal City; Group: US; Unemployment (%): 6.0941; Offences per 100k: 464.476174
Crestwood; Group: US; Unemployment (%): 8.2152; Offences per 100k: 2290.894911
Decatur; Group: US; Unemployment (%): 8.3135; Offences per 100k: 3469.543969
Downers Grove; Group: US; Unemployment (%): 4.0338; Offences per 100k: 984.525995
East Peoria; Group: US; Unemployment (%): 3.2673; Offences per 100k: 2628.811777
Elk Grove Village; Group: US; Unemployment (%): 4.082; Offences per 100k: 1814.829193
Fairview Heights; Group: US; Unemployment (%): 6.3585; Offences per 100k: 3436.167545
Franklin Park; Group: US; Unemployment (%): 6.1368; Offences per 100k: 1576.360246
Gilberts; Group: US; Unemployment (%): 3.6513; Offences per 100k: 246.941295
Glenview; Group: US; Unemployment (%): 3.4203; Offences per 100k: 1360.764271
Gurnee; Group: US; Unemployment (%): 4.79; Offences per 100k: 2410.039613
Harvey; Group: US; Unemployment (%): 13.4228; Offences per 100k: 2217.457246
Hickory Hills; Group: US; Unemployment (%): 6.0726; Offences per 100k: 1124.169647
Hillside; Group: US; Unemployment (%): 4.1457; Offences per 100k: 2177.254098
Huntley; Group: US; Unemployment (%): 3.57; Offences per 100k: 457.118745
Jerseyville; Group: US; Unemployment (%): 0.4309; Offences per 100k: 1710.542278
Lake Forest; Group: US; Unemployment (%): 1.7588; Offences per 100k: 645.761223
Lansing; Group: US; Unemployment (%): 9.7862; Offences per 100k: 2230.034055
Lincolnshire; Group: US; Unemployment (%): 2.2355; Offences per 100k: 961.903557
Lockport; Group: US; Unemployment (%): 4.7247; Offences per 100k: 659.967002
Mahomet; Group: US; Unemployment (%): 3.5013; Offences per 100k: 436.515468
Marion; Group: US; Unemployment (%): 3.5496; Offences per 100k: 3399.383009
Mendota; Group: US; Unemployment (%): 4.8248; Offences per 100k: 507.761497
Mokena; Group: US; Unemployment (%): 4.1285; Offences per 100k: 821.251141
Monticello; Group: US; Unemployment (%): 0.4898; Offences per 100k: 231.74971
Mount Prospect; Group: US; Unemployment (%): 3.8406; Offences per 100k: 977.15001
Naperville; Group: US; Unemployment (%): 4.5397; Offences per 100k: 967.306887
Northbrook; Group: US; Unemployment (%): 3.2325; Offences per 100k: 1225.825647
Oak Brook; Group: US; Unemployment (%): 9.9938; Offences per 100k: 6388.022458
Olney; Group: US; Unemployment (%): 4.6564; Offences per 100k: 1265.822785
Palatine; Group: US; Unemployment (%): 4.0577; Offences per 100k: 1008.442777
Park Forest; Group: US; Unemployment (%): 8.6674; Offences per 100k: 1791.379899
Pingree Grove; Group: US; Unemployment (%): 3.6952; Offences per 100k: 166.739798
Posen; Group: US; Unemployment (%): 6.1134; Offences per 100k: 2472.422975
Riverdale; Group: US; Unemployment (%): 16.0981; Offences per 100k: 3566.789889
Rock Falls; Group: US; Unemployment (%): 6.5706; Offences per 100k: 3569.338795
Romeoville; Group: US; Unemployment (%): 5.0487; Offences per 100k: 1163.216036
St. Charles; Group: US; Unemployment (%): 4.1356; Offences per 100k: 1155.891666
Schaumburg; Group: US; Unemployment (%): 3.4797; Offences per 100k: 2489.249753
South Barrington; Group: US; Unemployment (%): 1.9823; Offences per 100k: 768.608414
Spring Grove; Group: US; Unemployment (%): 7.2578; Offences per 100k: 416.44034
Streamwood; Group: US; Unemployment (%): 3.3876; Offences per 100k: 835.011411
Sycamore; Group: US; Unemployment (%): 2.9977; Offences per 100k: 1052.46287
Urbana; Group: US; Unemployment (%): 4.7155; Offences per 100k: 3036.331274
Washington; Group: US; Unemployment (%): 0.9962; Offences per 100k: 1224.619289
Western Springs; Group: US; Unemployment (%): 3.0876; Offences per 100k: 280.494276
Willow Springs; Group: US; Unemployment (%): 4.551; Offences per 100k: 390.140096
Winnetka; Group: US; Unemployment (%): 3.426; Offences per 100k: 740.19245
Woodstock; Group: US; Unemployment (%): 3.314; Offences per 100k: 637.363492
Angola; Group: US; Unemployment (%): 6.2986; Offences per 100k: 2350.337268
Bedford; Group: US; Unemployment (%): 2.3307; Offences per 100k: 302.768166
Brazil; Group: US; Unemployment (%): 5.9381; Offences per 100k: 2491.492465
Cicero; Group: US; Unemployment (%): 0.8472; Offences per 100k: 296.32212
Crown Point; Group: US; Unemployment (%): 2.7747; Offences per 100k: 608.213727
East Chicago; Group: US; Unemployment (%): 7.6705; Offences per 100k: 2416.023693
Fishers; Group: US; Unemployment (%): 2.7849; Offences per 100k: 731.453444
Goshen; Group: US; Unemployment (%): 4.0331; Offences per 100k: 2696.16416
Highland; Group: US; Unemployment (%): 4.7193; Offences per 100k: 1693.682905
Jeffersonville; Group: US; Unemployment (%): 4.0276; Offences per 100k: 1988.263455
Lawrence; Group: US; Unemployment (%): 4.4571; Offences per 100k: 2020.325203
McCordsville; Group: US; Unemployment (%): 2.4115; Offences per 100k: 1032.110092
Muncie; Group: US; Unemployment (%): 7.7552; Offences per 100k: 2859.909024
New Haven; Group: US; Unemployment (%): 4.8267; Offences per 100k: 1292.085973
Portage; Group: US; Unemployment (%): 7.4286; Offences per 100k: 1343.669251
Seymour; Group: US; Unemployment (%): 2.2654; Offences per 100k: 1609.927115
Terre Haute; Group: US; Unemployment (%): 6.8632; Offences per 100k: 3977.03977
Washington; Group: US; Unemployment (%): 2.8295; Offences per 100k: 741.675872
Winona Lake; Group: US; Unemployment (%): 1.3798; Offences per 100k: 371.674491
Altoona; Group: US; Unemployment (%): 7.4691; Offences per 100k: 2154.134332
Atlantic; Group: US; Unemployment (%): 1.1351; Offences per 100k: 2360.578342
Centerville; Group: US; Unemployment (%): 3.5743; Offences per 100k: 1315.047905
Clinton; Group: US; Unemployment (%): 3.7337; Offences per 100k: 3086.343138
Creston; Group: US; Unemployment (%): 3.6099; Offences per 100k: 1307.011572
DeWitt; Group: US; Unemployment (%): 4.0683; Offences per 100k: 1247.549456
Fort Dodge; Group: US; Unemployment (%): 6.027; Offences per 100k: 4256.795364
Independence; Group: US; Unemployment (%): 2.3028; Offences per 100k: 819.80389
Keokuk; Group: US; Unemployment (%): 4.9321; Offences per 100k: 1873.935264
Marion; Group: US; Unemployment (%): 3.555; Offences per 100k: 619.99057
Newton; Group: US; Unemployment (%): 5.7495; Offences per 100k: 1774.389853
Osceola; Group: US; Unemployment (%): 5.9701; Offences per 100k: 2207.58412
Perry; Group: US; Unemployment (%): 3.6207; Offences per 100k: 984.791822
Sioux City; Group: US; Unemployment (%): 4.4655; Offences per 100k: 3879.315374
Vinton; Group: US; Unemployment (%): 2.478; Offences per 100k: 423.387097
Webster City; Group: US; Unemployment (%): 7.043; Offences per 100k: 1614.793593
Andover; Group: US; Unemployment (%): 2.7394; Offences per 100k: 1396.821455
Bel Aire; Group: US; Unemployment (%): 2.9021; Offences per 100k: 790.869957
Dodge City; Group: US; Unemployment (%): 5.6365; Offences per 100k: 1341.058999
Garden City; Group: US; Unemployment (%): 2.6864; Offences per 100k: 2592.428929
Haysville; Group: US; Unemployment (%): 3.6973; Offences per 100k: 1562.361296
Junction City; Group: US; Unemployment (%): 6.2327; Offences per 100k: 3083.147321
Leawood; Group: US; Unemployment (%): 2.0327; Offences per 100k: 1578.947368
Maize; Group: US; Unemployment (%): 2.6577; Offences per 100k: 1185.825893
Olathe; Group: US; Unemployment (%): 2.6728; Offences per 100k: 1137.32915
Parsons; Group: US; Unemployment (%): 2.1843; Offences per 100k: 4339.866466
Shawnee; Group: US; Unemployment (%): 3.2979; Offences per 100k: 2048.823639
Wellington; Group: US; Unemployment (%): 6.9575; Offences per 100k: 2788.844622
Bardstown; Group: US; Unemployment (%): 4.0012; Offences per 100k: 1559.24409
Campbellsville; Group: US; Unemployment (%): 7.3907; Offences per 100k: 1305.015353
Cynthiana; Group: US; Unemployment (%): 1.3238; Offences per 100k: 1393.939394
Elsmere; Group: US; Unemployment (%): 5.1267; Offences per 100k: 929.978118
Fort Thomas; Group: US; Unemployment (%): 3.4899; Offences per 100k: 534.886485
Glasgow; Group: US; Unemployment (%): 4.2944; Offences per 100k: 2277.298384
Hopkinsville; Group: US; Unemployment (%): 6.1887; Offences per 100k: 2951.716948
Lebanon; Group: US; Unemployment (%): 3.6674; Offences per 100k: 1122.062168
Madisonville; Group: US; Unemployment (%): 6.8945; Offences per 100k: 678.967555
Monticello; Group: US; Unemployment (%): 1.987; Offences per 100k: 876.270592
Murray; Group: US; Unemployment (%): 5.7872; Offences per 100k: 1528.228245
Paducah; Group: US; Unemployment (%): 4.029; Offences per 100k: 3064.903846
Richmond; Group: US; Unemployment (%): 6.6866; Offences per 100k: 2187.959655
Shively; Group: US; Unemployment (%): 6.9293; Offences per 100k: 3585.812654
Vine Grove; Group: US; Unemployment (%): 3.5496; Offences per 100k: 356.582513
Alexandria; Group: US; Unemployment (%): 5.232; Offences per 100k: 9309.85489
Broussard; Group: US; Unemployment (%): 3.6264; Offences per 100k: 2348.047766
Gretna; Group: US; Unemployment (%): 6.3032; Offences per 100k: 4229.211341
Lake Charles; Group: US; Unemployment (%): 6.6421; Offences per 100k: 3082.762689
Natchitoches; Group: US; Unemployment (%): 7.0787; Offences per 100k: 5275.892594
Ponchatoula; Group: US; Unemployment (%): 2.3036; Offences per 100k: 2428.057554
Shreveport; Group: US; Unemployment (%): 8.9752; Offences per 100k: 5218.970598
Walker; Group: US; Unemployment (%): 6.7628; Offences per 100k: 3891.8412
Augusta; Group: US; Unemployment (%): 5.6723; Offences per 100k: 4341.473596
Brewer; Group: US; Unemployment (%): 1.4438; Offences per 100k: 1836.290072
Portland; Group: US; Unemployment (%): 4.2049; Offences per 100k: 2745.63555
South Portland; Group: US; Unemployment (%): 2.619; Offences per 100k: 1433.292488
Annapolis; Group: US; Unemployment (%): 3.6983; Offences per 100k: 2902.635613
Bowie; Group: US; Unemployment (%): 4.66; Offences per 100k: 2473.256161
Cumberland; Group: US; Unemployment (%): 6.3188; Offences per 100k: 4388.832324
Frederick; Group: US; Unemployment (%): 3.888; Offences per 100k: 2079.658027
Greenbelt; Group: US; Unemployment (%): 6.7082; Offences per 100k: 5026.247262
La Plata; Group: US; Unemployment (%): 3.4159; Offences per 100k: 1970.487673
New Carrollton; Group: US; Unemployment (%): 6.1372; Offences per 100k: 1938.100962
Takoma Park; Group: US; Unemployment (%): 4.9019; Offences per 100k: 7612.81433
Amherst Town; Group: US; Unemployment (%): 7.7068; Offences per 100k: 466.482377
Braintree Town; Group: US; Unemployment (%): 3.9917; Offences per 100k: 1404.479984
Chicopee; Group: US; Unemployment (%): 6.2734; Offences per 100k: 2327.416174
Franklin Town; Group: US; Unemployment (%): 5.173; Offences per 100k: 382.607664
Holyoke; Group: US; Unemployment (%): 7.7368; Offences per 100k: 5273.06968
Malden; Group: US; Unemployment (%): 5.3561; Offences per 100k: 1471.701541
Newburyport; Group: US; Unemployment (%): 5.0761; Offences per 100k: 441.971714
Peabody; Group: US; Unemployment (%): 4.8944; Offences per 100k: 1091.623608
Salem; Group: US; Unemployment (%): 5.1118; Offences per 100k: 1706.016756
Taunton; Group: US; Unemployment (%): 5.8093; Offences per 100k: 1281.636875
Winthrop Town; Group: US; Unemployment (%): 5.8991; Offences per 100k: 680.827887
Allegan; Group: US; Unemployment (%): 3.7114; Offences per 100k: 660.96423
Auburn Hills; Group: US; Unemployment (%): 6.0035; Offences per 100k: 2279.103732
Berkley; Group: US; Unemployment (%): 2.1662; Offences per 100k: 376.875967
Burton; Group: US; Unemployment (%): 7.1473; Offences per 100k: 3097.677596
Clawson; Group: US; Unemployment (%): 4.9444; Offences per 100k: 755.803491
Detroit; Group: US; Unemployment (%): 14.0031; Offences per 100k: 6086.573266
Eastpointe; Group: US; Unemployment (%): 12.9228; Offences per 100k: 2991.759226
Fenton; Group: US; Unemployment (%): 8.6814; Offences per 100k: 2566.056911
Frankenmuth; Group: US; Unemployment (%): 4.6869; Offences per 100k: 883.086965
Grand Haven; Group: US; Unemployment (%): 1.8267; Offences per 100k: 1136.673638
Grosse Pointe; Group: US; Unemployment (%): 4.2615; Offences per 100k: 2080.624187
Harper Woods; Group: US; Unemployment (%): 7.0796; Offences per 100k: 5041.788408
Holland; Group: US; Unemployment (%): 2.4995; Offences per 100k: 1615.420183
Inkster; Group: US; Unemployment (%): 14.4343; Offences per 100k: 2941.295301
Kentwood; Group: US; Unemployment (%): 4.4769; Offences per 100k: 2570.002412
Livonia; Group: US; Unemployment (%): 4.557; Offences per 100k: 1490.311331
Marshall; Group: US; Unemployment (%): 6.9149; Offences per 100k: 1390.944066
Midland; Group: US; Unemployment (%): 4.1443; Offences per 100k: 777.29912
Niles; Group: US; Unemployment (%): 10.7986; Offences per 100k: 2351.72056
Owosso; Group: US; Unemployment (%): 5.5262; Offences per 100k: 1636.526164
Port Huron; Group: US; Unemployment (%): 8.8614; Offences per 100k: 2106.084243
Rockford; Group: US; Unemployment (%): 6.1829; Offences per 100k: 889.535824
St. Clair; Group: US; Unemployment (%): 0.8003; Offences per 100k: 515.03572
St. Louis; Group: US; Unemployment (%): 2.7617; Offences per 100k: 727.117194
South Lyon; Group: US; Unemployment (%): 3.6841; Offences per 100k: 349.708576
Troy; Group: US; Unemployment (%): 4.3609; Offences per 100k: 1392.098099
Wayne; Group: US; Unemployment (%): 10.3156; Offences per 100k: 1995.145344
Wyoming; Group: US; Unemployment (%): 4.0829; Offences per 100k: 2615.725246
Anoka; Group: US; Unemployment (%): 4.7519; Offences per 100k: 1431.58362
Belle Plaine; Group: US; Unemployment (%): 5.2605; Offences per 100k: 538.140724
Brainerd; Group: US; Unemployment (%): 8.9832; Offences per 100k: 2210.058159
Cambridge; Group: US; Unemployment (%): 3.4201; Offences per 100k: 1758.933531
Columbia Heights; Group: US; Unemployment (%): 5.4876; Offences per 100k: 2506.319352
Crystal; Group: US; Unemployment (%): 2.4473; Offences per 100k: 2505.005355
East Grand Forks; Group: US; Unemployment (%): 3.4781; Offences per 100k: 395.078451
Fairmont; Group: US; Unemployment (%): 3.061; Offences per 100k: 1690.750025
Fridley; Group: US; Unemployment (%): 6.493; Offences per 100k: 3327.293691
Hermantown; Group: US; Unemployment (%): 2.071; Offences per 100k: 2638.289525
Inver Grove Heights; Group: US; Unemployment (%): 3.6392; Offences per 100k: 1560.256269
Lake City; Group: US; Unemployment (%): 0.5941; Offences per 100k: 974.512744
Little Falls; Group: US; Unemployment (%): 6.116; Offences per 100k: 1947.623239
Marshall; Group: US; Unemployment (%): 3.7421; Offences per 100k: 991.094513
Minnetrista; Group: US; Unemployment (%): 2.3245; Offences per 100k: 388.367052
New Hope; Group: US; Unemployment (%): 5.0215; Offences per 100k: 2131.010384
North Mankato; Group: US; Unemployment (%): 2.7563; Offences per 100k: 998.502247
Plymouth; Group: US; Unemployment (%): 2.28; Offences per 100k: 1074.735234
Redwood Falls; Group: US; Unemployment (%): 3.3362; Offences per 100k: 1486.915147
Rosemount; Group: US; Unemployment (%): 3.4706; Offences per 100k: 556.343019
St. Joseph; Group: US; Unemployment (%): 2.7696; Offences per 100k: 567.248843
St. Peter; Group: US; Unemployment (%): 1.9981; Offences per 100k: 630.965863
South St. Paul; Group: US; Unemployment (%): 5.9052; Offences per 100k: 1670.864006
Waite Park; Group: US; Unemployment (%): 7.513; Offences per 100k: 4231.546416
Winona; Group: US; Unemployment (%): 2.6593; Offences per 100k: 2484.162027
Batesville; Group: US; Unemployment (%): 4.8167; Offences per 100k: 5101.760176
Cleveland; Group: US; Unemployment (%): 7.882; Offences per 100k: 3226.758485
Hattiesburg; Group: US; Unemployment (%): 8.6641; Offences per 100k: 3686.836276
Long Beach; Group: US; Unemployment (%): 6.1237; Offences per 100k: 1073.124963
Oxford; Group: US; Unemployment (%): 2.7427; Offences per 100k: 1979.730466
Picayune; Group: US; Unemployment (%): 6.0467; Offences per 100k: 2883.642496
Southaven; Group: US; Unemployment (%): 3.2871; Offences per 100k: 2328.936163
West Point; Group: US; Unemployment (%): 11.6358; Offences per 100k: 2586.652871
Belton; Group: US; Unemployment (%): 4.8128; Offences per 100k: 2206.61601
Boonville; Group: US; Unemployment (%): 5.7756; Offences per 100k: 2178.899083
Cape Girardeau; Group: US; Unemployment (%): 2.6244; Offences per 100k: 3079.527888
Chillicothe; Group: US; Unemployment (%): 3.5656; Offences per 100k: 1096.039067
Crestwood; Group: US; Unemployment (%): 1.5941; Offences per 100k: 1586.383541
Dexter; Group: US; Unemployment (%): 1.4462; Offences per 100k: 3105.906314
Ferguson; Group: US; Unemployment (%): 5.8704; Offences per 100k: 4210.821419
Glendale; Group: US; Unemployment (%): 0.2594; Offences per 100k: 382.631842
Harrisonville; Group: US; Unemployment (%): 6.2488; Offences per 100k: 2315.099365
Jefferson City; Group: US; Unemployment (%): 3.1807; Offences per 100k: 2373.064543
Kirksville; Group: US; Unemployment (%): 4.0011; Offences per 100k: 2352.335165
Lee's Summit; Group: US; Unemployment (%): 3.7656; Offences per 100k: 2443.528505
Marshall; Group: US; Unemployment (%): 4.0615; Offences per 100k: 1155.17622
Moberly; Group: US; Unemployment (%): 6.4704; Offences per 100k: 1340.299864
North Kansas City; Group: US; Unemployment (%): 9.4611; Offences per 100k: 8226.351351
Osage Beach; Group: US; Unemployment (%): 2.6545; Offences per 100k: 2871.105681
Parkville; Group: US; Unemployment (%): 2.3994; Offences per 100k: 853.151328
Poplar Bluff; Group: US; Unemployment (%): 4.8795; Offences per 100k: 248.323814
Richmond Heights; Group: US; Unemployment (%): 1.883; Offences per 100k: 7777.901413
Ste. Genevieve; Group: US; Unemployment (%): 5.3106; Offences per 100k: 574.143734
Savannah; Group: US; Unemployment (%): 2.3898; Offences per 100k: 590.783773
Springfield; Group: US; Unemployment (%): 4.3006; Offences per 100k: 5362.787125
Trenton; Group: US; Unemployment (%): 4.0738; Offences per 100k: 869.565217
Warrenton; Group: US; Unemployment (%): 4.7115; Offences per 100k: 690.66555
Wentzville; Group: US; Unemployment (%): 2.6972; Offences per 100k: 853.711474
Billings; Group: US; Unemployment (%): 3.5225; Offences per 100k: 3829.491012
Havre; Group: US; Unemployment (%): 2.9482; Offences per 100k: 3870.068611
Livingston; Group: US; Unemployment (%): 1.9199; Offences per 100k: 1921.165949
Whitefish; Group: US; Unemployment (%): 2.3617; Offences per 100k: 1212.686567
Columbus; Group: US; Unemployment (%): 2.3621; Offences per 100k: 1012.400894
Hastings; Group: US; Unemployment (%): 2.882; Offences per 100k: 2325.206528
McCook; Group: US; Unemployment (%): 1.4388; Offences per 100k: 1083.333333
Papillion; Group: US; Unemployment (%): 3.2094; Offences per 100k: 1038.267576
Seward; Group: US; Unemployment (%): 1.6881; Offences per 100k: 730.688935
York; Group: US; Unemployment (%): 1.7329; Offences per 100k: 1836.982968
Las Vegas; Group: US; Unemployment (%): 7.3966; Offences per 100k: 3052.5
Winnemucca; Group: US; Unemployment (%): 5.6609; Offences per 100k: 2020.447907
Franklin; Group: US; Unemployment (%): 2.825; Offences per 100k: 1351.504827
Nashua; Group: US; Unemployment (%): 4.2293; Offences per 100k: 1421.847852
Absecon; Group: US; Unemployment (%): 5.6272; Offences per 100k: 2364.53202
Beachwood borough; Group: US; Unemployment (%): 3.1332; Offences per 100k: 824.43808
Bernardsville borough; Group: US; Unemployment (%): 4.3458; Offences per 100k: 636.068845
Brigantine; Group: US; Unemployment (%): 5.748; Offences per 100k: 858.992996
Chatham borough; Group: US; Unemployment (%): 5.2142; Offences per 100k: 526.038927
Closter borough; Group: US; Unemployment (%): 3.2725; Offences per 100k: 1203.576341
East Orange; Group: US; Unemployment (%): 9.1645; Offences per 100k: 2438.921533
Emerson borough; Group: US; Unemployment (%): 5.6219; Offences per 100k: 94.569035
Fair Lawn borough; Group: US; Unemployment (%): 6.2433; Offences per 100k: 981.437437
Franklin borough; Group: US; Unemployment (%): 7.189; Offences per 100k: 515.157519
Glassboro borough; Group: US; Unemployment (%): 7.4145; Offences per 100k: 1230.18594
Hackettstown; Group: US; Unemployment (%): 8.1646; Offences per 100k: 525.272547
Harrison; Group: US; Unemployment (%): 5.2599; Offences per 100k: 1987.158457
Hillsdale borough; Group: US; Unemployment (%): 3.3681; Offences per 100k: 263.055339
Keansburg borough; Group: US; Unemployment (%): 4.4883; Offences per 100k: 1455.755433
Lincoln Park borough; Group: US; Unemployment (%): 10.1296; Offences per 100k: 624.386763
Long Branch; Group: US; Unemployment (%): 6.9982; Offences per 100k: 1869.356446
Margate City; Group: US; Unemployment (%): 4.106; Offences per 100k: 1309.360954
Midland Park borough; Group: US; Unemployment (%): 7.1617; Offences per 100k: 703.23488
Morristown; Group: US; Unemployment (%): 5.285; Offences per 100k: 1062.724353
New Milford borough; Group: US; Unemployment (%): 6.4151; Offences per 100k: 498.233011
North Haledon borough; Group: US; Unemployment (%): 4.5999; Offences per 100k: 343.563903
Oceanport borough; Group: US; Unemployment (%): 7.2548; Offences per 100k: 421.120829
Paramus borough; Group: US; Unemployment (%): 7.7165; Offences per 100k: 4928.02393
Perth Amboy; Group: US; Unemployment (%): 14.2548; Offences per 100k: 1760.35739
Plainfield; Group: US; Unemployment (%): 8.9045; Offences per 100k: 2020.544886
Rahway; Group: US; Unemployment (%): 7.2513; Offences per 100k: 989.774515
Ridgefield Park; Group: US; Unemployment (%): 9.8705; Offences per 100k: 1126.781583
Roseland borough; Group: US; Unemployment (%): 4.8995; Offences per 100k: 765.794512
Rutherford borough; Group: US; Unemployment (%): 4.2193; Offences per 100k: 860.772621
South Amboy; Group: US; Unemployment (%): 5.9052; Offences per 100k: 1530.470272
Summit; Group: US; Unemployment (%): 5.4375; Offences per 100k: 787.470855
Vineland; Group: US; Unemployment (%): 7.8486; Offences per 100k: 3122.534841
Watchung borough; Group: US; Unemployment (%): 6.1429; Offences per 100k: 4215.953897
Westwood borough; Group: US; Unemployment (%): 2.5336; Offences per 100k: 305.917315
Woodland Park borough; Group: US; Unemployment (%): 5.5995; Offences per 100k: 1065.186408
Artesia; Group: US; Unemployment (%): 5.9155; Offences per 100k: 2649.769585
Carlsbad; Group: US; Unemployment (%): 5.1638; Offences per 100k: 3315.942771
Grants; Group: US; Unemployment (%): 6.0429; Offences per 100k: 2044.007595
Portales; Group: US; Unemployment (%): 7.3645; Offences per 100k: 3652.735304
Sunland Park; Group: US; Unemployment (%): 4.5729; Offences per 100k: 905.756835
Batavia; Group: US; Unemployment (%): 5.4508; Offences per 100k: 2181.818182
Canandaigua; Group: US; Unemployment (%): 4.4544; Offences per 100k: 1739.795431
Elmira; Group: US; Unemployment (%): 9.9389; Offences per 100k: 4684.270953
Hudson; Group: US; Unemployment (%): 7.6923; Offences per 100k: 1895.652174
Long Beach; Group: US; Unemployment (%): 3.239; Offences per 100k: 182.465896
New York; Group: US; Unemployment (%): 8.038186; Offences per 100k: 3039.3
Oneida; Group: US; Unemployment (%): 3.5039; Offences per 100k: 3871.869075
Rome; Group: US; Unemployment (%): 5.9487; Offences per 100k: 2292.808056
Syracuse; Group: US; Unemployment (%): 7.7134; Offences per 100k: 4999.483382
Watervliet; Group: US; Unemployment (%): 4.454; Offences per 100k: 2483.181638
Angier; Group: US; Unemployment (%): 5.1369; Offences per 100k: 987.091875
Bessemer City; Group: US; Unemployment (%): 5.9138; Offences per 100k: 1952.506596
Butner; Group: US; Unemployment (%): 5.4795; Offences per 100k: 1557.135851
Charlotte; Group: US; Unemployment (%): 4.6324; Offences per 100k: 4438.5
Cornelius; Group: US; Unemployment (%): 2.4493; Offences per 100k: 1139.499688
Dunn; Group: US; Unemployment (%): 3.2438; Offences per 100k: 6011.815128
Fayetteville; Group: US; Unemployment (%): 7.9191; Offences per 100k: 3754.792922
Gastonia; Group: US; Unemployment (%): 5.6763; Offences per 100k: 4363.661998
Greensboro; Group: US; Unemployment (%): 5.0748; Offences per 100k: 4306.849027
Hickory; Group: US; Unemployment (%): 3.7984; Offences per 100k: 3231.726422
Kannapolis; Group: US; Unemployment (%): 4.0539; Offences per 100k: 1953.067106
Kinston; Group: US; Unemployment (%): 16.1494; Offences per 100k: 5922.893564
Lexington; Group: US; Unemployment (%): 6.0333; Offences per 100k: 3457.460174
Mebane; Group: US; Unemployment (%): 3.853; Offences per 100k: 3518.164436
Morrisville; Group: US; Unemployment (%): 3.3228; Offences per 100k: 2532.780802
Oxford; Group: US; Unemployment (%): 6.9847; Offences per 100k: 4428.697963
Reidsville; Group: US; Unemployment (%): 6.418; Offences per 100k: 3332.419089
Rolesville; Group: US; Unemployment (%): 3.6761; Offences per 100k: 471.221811
Shelby; Group: US; Unemployment (%): 3.598; Offences per 100k: 3477.39241
Stallings; Group: US; Unemployment (%): 5.3005; Offences per 100k: 723.069916
Wake Forest; Group: US; Unemployment (%): 4.0092; Offences per 100k: 1451.532073
Whispering Pines; Group: US; Unemployment (%): 3.3208; Offences per 100k: 257.779414
Winterville; Group: US; Unemployment (%): 5.3986; Offences per 100k: 805.418268
Fargo; Group: US; Unemployment (%): 3.7918; Offences per 100k: 4195.103256
Valley City; Group: US; Unemployment (%): 4.9356; Offences per 100k: 1100.749121
Williston; Group: US; Unemployment (%): 4.9128; Offences per 100k: 2752.563302
Ashtabula; Group: US; Unemployment (%): 11.8349; Offences per 100k: 1105.907578
Barberton; Group: US; Unemployment (%): 4.1968; Offences per 100k: 2379.487179
Bedford Heights; Group: US; Unemployment (%): 6.5229; Offences per 100k: 2107.619136
Bexley; Group: US; Unemployment (%): 2.5136; Offences per 100k: 2532.9688
Brook Park; Group: US; Unemployment (%): 3.6639; Offences per 100k: 631.439016
Cambridge; Group: US; Unemployment (%): 2.9847; Offences per 100k: 2064.035441
Centerville; Group: US; Unemployment (%): 3.3719; Offences per 100k: 1046.383319
Circleville; Group: US; Unemployment (%): 6.8149; Offences per 100k: 1983.177187
Columbiana; Group: US; Unemployment (%): 1.4726; Offences per 100k: 381.287579
Deer Park; Group: US; Unemployment (%): 1.6303; Offences per 100k: 866.453193
Dublin; Group: US; Unemployment (%): 2.495; Offences per 100k: 1024.926205
Elyria; Group: US; Unemployment (%): 5.5513; Offences per 100k: 1770.459794
Findlay; Group: US; Unemployment (%): 3.5133; Offences per 100k: 1948.165332
Gahanna; Group: US; Unemployment (%): 2.6025; Offences per 100k: 2072.672175
Grafton; Group: US; Unemployment (%): 5.8824; Offences per 100k: 260.688217
Harrison; Group: US; Unemployment (%): 1.4864; Offences per 100k: 848.145143
Hillsboro; Group: US; Unemployment (%): 5.2578; Offences per 100k: 1396.396396
Independence; Group: US; Unemployment (%): 1.4503; Offences per 100k: 1358.189081
Kenton; Group: US; Unemployment (%): 5.7352; Offences per 100k: 1679.056652
Lima; Group: US; Unemployment (%): 8.4926; Offences per 100k: 4127.112758
Lyndhurst; Group: US; Unemployment (%): 2.0408; Offences per 100k: 1188.205956
Mason; Group: US; Unemployment (%): 1.9866; Offences per 100k: 565.09757
Mentor; Group: US; Unemployment (%): 2.9419; Offences per 100k: 1473.324067
Montgomery; Group: US; Unemployment (%): 2.7087; Offences per 100k: 695.474777
Newark; Group: US; Unemployment (%): 3.7503; Offences per 100k: 1908.783126
North Canton; Group: US; Unemployment (%): 1.7229; Offences per 100k: 1149.229106
Norwalk; Group: US; Unemployment (%): 5.3902; Offences per 100k: 652.528548
Ontario; Group: US; Unemployment (%): 6.3225; Offences per 100k: 3609.022556
Parma Heights; Group: US; Unemployment (%): 4.147; Offences per 100k: 361.257567
Port Clinton; Group: US; Unemployment (%): 4.4353; Offences per 100k: 1354.784081
Reynoldsburg; Group: US; Unemployment (%): 4.7479; Offences per 100k: 2878.116142
Seven Hills; Group: US; Unemployment (%): 2.4923; Offences per 100k: 971.71612
Solon; Group: US; Unemployment (%): 2.4019; Offences per 100k: 855.240984
Springfield; Group: US; Unemployment (%): 9.3764; Offences per 100k: 5886.619122
Struthers; Group: US; Unemployment (%): 4.7206; Offences per 100k: 1356.687253
Trenton; Group: US; Unemployment (%): 4.337; Offences per 100k: 242.943909
Union; Group: US; Unemployment (%): 2.7577; Offences per 100k: 1203.955855
Vandalia; Group: US; Unemployment (%): 3.6134; Offences per 100k: 1938.871684
Washington Court House; Group: US; Unemployment (%): 5.267; Offences per 100k: 1305.283621
West Jefferson; Group: US; Unemployment (%): 2.0842; Offences per 100k: 1107.01107
Willoughby; Group: US; Unemployment (%): 4.056; Offences per 100k: 1038.704093
Wyoming; Group: US; Unemployment (%): 2.5781; Offences per 100k: 694.203402
Altus; Group: US; Unemployment (%): 6.5328; Offences per 100k: 1735.346263
Bixby; Group: US; Unemployment (%): 3.6832; Offences per 100k: 857.233907
Chickasha; Group: US; Unemployment (%): 6.9152; Offences per 100k: 2161.49361
Coweta; Group: US; Unemployment (%): 4.0051; Offences per 100k: 725.15667
Edmond; Group: US; Unemployment (%): 3.3437; Offences per 100k: 1521.425909
Grove; Group: US; Unemployment (%): 2.0569; Offences per 100k: 3333.783237
Holdenville; Group: US; Unemployment (%): 7.882; Offences per 100k: 1791.448369
Lawton; Group: US; Unemployment (%): 8.1064; Offences per 100k: 3473.045927
Midwest City; Group: US; Unemployment (%): 7.1222; Offences per 100k: 2427.49435
Noble; Group: US; Unemployment (%): 1.1712; Offences per 100k: 1239.203905
Pauls Valley; Group: US; Unemployment (%): 5.2362; Offences per 100k: 2541.673543
Purcell; Group: US; Unemployment (%): 3.9539; Offences per 100k: 2306.140098
Shawnee; Group: US; Unemployment (%): 5.9715; Offences per 100k: 3344.178189
The Village; Group: US; Unemployment (%): 3.1941; Offences per 100k: 2461.836164
Wagoner; Group: US; Unemployment (%): 6.0582; Offences per 100k: 2676.709154
Albany; Group: US; Unemployment (%): 5.7803; Offences per 100k: 2026.967943
Bend; Group: US; Unemployment (%): 3.7447; Offences per 100k: 1530.482582
Cornelius; Group: US; Unemployment (%): 5.0012; Offences per 100k: 1925.025329
Eugene; Group: US; Unemployment (%): 7.6413; Offences per 100k: 3573.574754
Gresham; Group: US; Unemployment (%): 5.5871; Offences per 100k: 2836.859993
Keizer; Group: US; Unemployment (%): 4.17; Offences per 100k: 2056.904203
Lebanon; Group: US; Unemployment (%): 5.8089; Offences per 100k: 1196.386021
Milton-Freewater; Group: US; Unemployment (%): 7.2502; Offences per 100k: 1994.219653
North Bend; Group: US; Unemployment (%): 6.5093; Offences per 100k: 3390.170512
Prineville; Group: US; Unemployment (%): 9.3574; Offences per 100k: 971.196148
Salem; Group: US; Unemployment (%): 5.8237; Offences per 100k: 3335.468933
Stayton; Group: US; Unemployment (%): 2.7894; Offences per 100k: 2262.223303
Tigard; Group: US; Unemployment (%): 4.7252; Offences per 100k: 3780.653951
West Linn; Group: US; Unemployment (%): 4.3475; Offences per 100k: 833.901903
Ambler borough; Group: US; Unemployment (%): 3.3981; Offences per 100k: 846.221185
Beaver Falls; Group: US; Unemployment (%): 9.4725; Offences per 100k: 1316.689466
Bethlehem; Group: US; Unemployment (%): 6.5721; Offences per 100k: 1574.614238
Bridgeport borough; Group: US; Unemployment (%): 3.0662; Offences per 100k: 1700.240251
Camp Hill borough; Group: US; Unemployment (%): 2.0352; Offences per 100k: 1112.741502
Castle Shannon borough; Group: US; Unemployment (%): 0.3577; Offences per 100k: 348.302028
Clarks Summit borough; Group: US; Unemployment (%): 0.9865; Offences per 100k: 517.582585
Columbia borough; Group: US; Unemployment (%): 3.1505; Offences per 100k: 2326.471996
Crafton borough; Group: US; Unemployment (%): 7.4399; Offences per 100k: 2306.9529
DuBois; Group: US; Unemployment (%): 3.3611; Offences per 100k: 1610.904585
Edinboro borough; Group: US; Unemployment (%): 0.3989; Offences per 100k: 890.39987
Erie; Group: US; Unemployment (%): 7.106; Offences per 100k: 2304.636335
Franklin Park borough; Group: US; Unemployment (%): 4.4813; Offences per 100k: 289.153386
Greenville borough; Group: US; Unemployment (%): 4.7423; Offences per 100k: 1316.752012
Hazleton; Group: US; Unemployment (%): 5.5939; Offences per 100k: 724.758137
Indiana borough; Group: US; Unemployment (%): 9.5928; Offences per 100k: 855.47364
Kingston borough; Group: US; Unemployment (%): 6.4106; Offences per 100k: 1594.885126
Lehighton borough; Group: US; Unemployment (%): 4.1715; Offences per 100k: 1312.036509
Meadville; Group: US; Unemployment (%): 5.6931; Offences per 100k: 1935.149456
Milton borough; Group: US; Unemployment (%): 5.3293; Offences per 100k: 1548.467018
Morrisville borough; Group: US; Unemployment (%): 3.282; Offences per 100k: 3328.165375
Murrysville municipality; Group: US; Unemployment (%): 3.1184; Offences per 100k: 256.360646
New Holland borough; Group: US; Unemployment (%): 1.7909; Offences per 100k: 783.067142
Oakmont borough; Group: US; Unemployment (%): 5.6; Offences per 100k: 1048.632219
Palmerton borough; Group: US; Unemployment (%): 1.7702; Offences per 100k: 711.364041
Pittston; Group: US; Unemployment (%): 5.586; Offences per 100k: 561.577641
Pottsville; Group: US; Unemployment (%): 7.2198; Offences per 100k: 1676.521218
Ridley Park borough; Group: US; Unemployment (%): 3.0925; Offences per 100k: 722.222222
Shamokin; Group: US; Unemployment (%): 2.0826; Offences per 100k: 1153.675492
Somerset borough; Group: US; Unemployment (%): 5.1386; Offences per 100k: 803.144224
Steelton borough; Group: US; Unemployment (%): 5.3305; Offences per 100k: 2309.395761
Tamaqua borough; Group: US; Unemployment (%): 6.4129; Offences per 100k: 1054.913295
Waynesboro borough; Group: US; Unemployment (%): 4.8544; Offences per 100k: 1146.416321
West York borough; Group: US; Unemployment (%): 3.4424; Offences per 100k: 1754.385965
Wyomissing borough; Group: US; Unemployment (%): 2.1205; Offences per 100k: 1866.97783
East Providence; Group: US; Unemployment (%): 5.5147; Offences per 100k: 754.915361
Woonsocket; Group: US; Unemployment (%): 6.809; Offences per 100k: 1891.447368
Bennettsville; Group: US; Unemployment (%): 12.5131; Offences per 100k: 4556.765163
Central; Group: US; Unemployment (%): 4.4471; Offences per 100k: 1310.861423
Clover; Group: US; Unemployment (%): 4.8092; Offences per 100k: 1128.016789
Easley; Group: US; Unemployment (%): 3.1957; Offences per 100k: 2034.978455
Gaffney; Group: US; Unemployment (%): 10.5511; Offences per 100k: 4403.580934
Greer; Group: US; Unemployment (%): 2.4251; Offences per 100k: 2071.713147
Lake City; Group: US; Unemployment (%): 9.661; Offences per 100k: 6552.130706
Marion; Group: US; Unemployment (%): 4.6606; Offences per 100k: 6189.776253
Newberry; Group: US; Unemployment (%): 6.9475; Offences per 100k: 3697.60205
Port Royal; Group: US; Unemployment (%): 0.9599; Offences per 100k: 1352.54858
Spartanburg; Group: US; Unemployment (%): 7.4477; Offences per 100k: 6709.028735
Union; Group: US; Unemployment (%): 11.353; Offences per 100k: 7530.468249
Aberdeen; Group: US; Unemployment (%): 3.6538; Offences per 100k: 1678.331667
Huron; Group: US; Unemployment (%): 2.5659; Offences per 100k: 1804.613297
Sioux Falls; Group: US; Unemployment (%): 2.5314; Offences per 100k: 3441.965429
Watertown; Group: US; Unemployment (%): 1.7979; Offences per 100k: 1328.094974
Atoka; Group: US; Unemployment (%): 4.4547; Offences per 100k: 695.92651
Brownsville; Group: US; Unemployment (%): 8.6326; Offences per 100k: 3540.587219
Cleveland; Group: US; Unemployment (%): 6.0197; Offences per 100k: 2837.395417
Cookeville; Group: US; Unemployment (%): 3.7765; Offences per 100k: 1954.467354
Dunlap; Group: US; Unemployment (%): 12.2275; Offences per 100k: 1208.256419
Fayetteville; Group: US; Unemployment (%): 5.7036; Offences per 100k: 2825.901732
Greenbrier; Group: US; Unemployment (%): 1.7576; Offences per 100k: 618.794071
Humboldt; Group: US; Unemployment (%): 6.1007; Offences per 100k: 2197.240675
Kingsport; Group: US; Unemployment (%): 4.9154; Offences per 100k: 3400.539046
La Vergne; Group: US; Unemployment (%): 2.2484; Offences per 100k: 2310.950698
Lexington; Group: US; Unemployment (%): 8.2637; Offences per 100k: 2400
Madisonville; Group: US; Unemployment (%): 6.8368; Offences per 100k: 2584.123443
Memphis; Group: US; Unemployment (%): 8.3083; Offences per 100k: 9400.251465
Mount Juliet; Group: US; Unemployment (%): 3.7517; Offences per 100k: 1123.748553
Nolensville; Group: US; Unemployment (%): 2.4497; Offences per 100k: 257.37602
Pleasant View; Group: US; Unemployment (%): 6.3724; Offences per 100k: 332.807847
Rockwood; Group: US; Unemployment (%): 10.4794; Offences per 100k: 2650.05265
Smithville; Group: US; Unemployment (%): 7.3529; Offences per 100k: 1650.344577
Spring Hill; Group: US; Unemployment (%): 2.0672; Offences per 100k: 662.53901
White House; Group: US; Unemployment (%): 2.873; Offences per 100k: 970.513692
Alamo Heights; Group: US; Unemployment (%): 2.2055; Offences per 100k: 3041.216487
Alvarado; Group: US; Unemployment (%): 5.0449; Offences per 100k: 1545.549116
Anna; Group: US; Unemployment (%): 4.1226; Offences per 100k: 870.433345
Atlanta; Group: US; Unemployment (%): 5.9389; Offences per 100k: 1236.618678
Bastrop; Group: US; Unemployment (%): 7.2443; Offences per 100k: 3664.836939
Bee Cave; Group: US; Unemployment (%): 3.1068; Offences per 100k: 2816.901408
Benbrook; Group: US; Unemployment (%): 4.255; Offences per 100k: 2091.223448
Bowie; Group: US; Unemployment (%): 6.1824; Offences per 100k: 2081.639291
Bridgeport; Group: US; Unemployment (%): 3.9163; Offences per 100k: 967.405864
Bryan; Group: US; Unemployment (%): 5.0133; Offences per 100k: 1832.695462
Burleson; Group: US; Unemployment (%): 3.4581; Offences per 100k: 1259.7636
Canyon; Group: US; Unemployment (%): 3.1462; Offences per 100k: 728.520682
Celina; Group: US; Unemployment (%): 2.807; Offences per 100k: 1466.767915
Cleveland; Group: US; Unemployment (%): 4.2055; Offences per 100k: 2459.353776
Conroe; Group: US; Unemployment (%): 3.8873; Offences per 100k: 1877.094387
Corpus Christi; Group: US; Unemployment (%): 5.0782; Offences per 100k: 3874.941476
Crowley; Group: US; Unemployment (%): 3.5661; Offences per 100k: 1688.628599
Decatur; Group: US; Unemployment (%): 2.4952; Offences per 100k: 1946.300856
DeSoto; Group: US; Unemployment (%): 8.932; Offences per 100k: 1968.559694
Duncanville; Group: US; Unemployment (%): 7.1417; Offences per 100k: 2586.096202
Elgin; Group: US; Unemployment (%): 4.2265; Offences per 100k: 1642.060862
Everman; Group: US; Unemployment (%): 10.9364; Offences per 100k: 2143.950995
Fate; Group: US; Unemployment (%): 5.4056; Offences per 100k: 541.616005
Fort Stockton; Group: US; Unemployment (%): 2.2296; Offences per 100k: 412.551569
Frisco; Group: US; Unemployment (%): 4.5512; Offences per 100k: 1103.618202
Galveston; Group: US; Unemployment (%): 5.7517; Offences per 100k: 2917.137476
Gilmer; Group: US; Unemployment (%): 8.9259; Offences per 100k: 2816.358025
Graham; Group: US; Unemployment (%): 3.4186; Offences per 100k: 790.692421
Greenville; Group: US; Unemployment (%): 5.733; Offences per 100k: 1423.870949
Harlingen; Group: US; Unemployment (%): 5.2099; Offences per 100k: 2976.69076
Hereford; Group: US; Unemployment (%): 4.1454; Offences per 100k: 1122.754491
Highland Village; Group: US; Unemployment (%): 3.9551; Offences per 100k: 1145.510836
Horseshoe Bay; Group: US; Unemployment (%): 2.8866; Offences per 100k: 822.27621
Huntsville; Group: US; Unemployment (%): 10.9269; Offences per 100k: 2044.654775
Iowa Colony; Group: US; Unemployment (%): 4.9141; Offences per 100k: 690.013355
Jarrell; Group: US; Unemployment (%): 9.7158; Offences per 100k: 1354.961832
Justin; Group: US; Unemployment (%): 5.4934; Offences per 100k: 883.72093
Kennedale; Group: US; Unemployment (%): 2.3559; Offences per 100k: 498.35449
Kingsville; Group: US; Unemployment (%): 8.5849; Offences per 100k: 2021.862415
La Feria; Group: US; Unemployment (%): 3.7677; Offences per 100k: 2005.347594
Lakeway; Group: US; Unemployment (%): 3.5166; Offences per 100k: 1298.904538
La Porte; Group: US; Unemployment (%): 5.4339; Offences per 100k: 1131.161503
Leander; Group: US; Unemployment (%): 3.3637; Offences per 100k: 1057.67039
Liberty Hill; Group: US; Unemployment (%): 2.7879; Offences per 100k: 797.537428
Livingston; Group: US; Unemployment (%): 4.2895; Offences per 100k: 3771.945072
Lufkin; Group: US; Unemployment (%): 6.9554; Offences per 100k: 2723.712666
Magnolia; Group: US; Unemployment (%): 2.3596; Offences per 100k: 525.920361
Marlin; Group: US; Unemployment (%): 14.1682; Offences per 100k: 1195.57459
Mexia; Group: US; Unemployment (%): 3.3007; Offences per 100k: 1489.485981
Mission; Group: US; Unemployment (%): 7.7575; Offences per 100k: 1337.480206
Mount Pleasant; Group: US; Unemployment (%): 2.4919; Offences per 100k: 2057.613169
Navasota; Group: US; Unemployment (%): 7.1765; Offences per 100k: 2557.029178
North Richland Hills; Group: US; Unemployment (%): 3.2495; Offences per 100k: 2455.495903
Pampa; Group: US; Unemployment (%): 6.0754; Offences per 100k: 2450.592885
Pearsall; Group: US; Unemployment (%): 4.8955; Offences per 100k: 1121.972895
Pilot Point; Group: US; Unemployment (%): 6.3332; Offences per 100k: 739.713361
Port Isabel; Group: US; Unemployment (%): 5.2396; Offences per 100k: 4194.174757
Princeton; Group: US; Unemployment (%): 2.5297; Offences per 100k: 1118.198874
Richland Hills; Group: US; Unemployment (%): 3.5886; Offences per 100k: 2695.810565
Roanoke; Group: US; Unemployment (%): 4.9847; Offences per 100k: 1333.452658
Rockwall; Group: US; Unemployment (%): 4.4409; Offences per 100k: 1519.218479
Royse City; Group: US; Unemployment (%): 1.9184; Offences per 100k: 1001.749631
San Antonio; Group: US; Unemployment (%): 6.1847; Offences per 100k: 5217.8
Santa Fe; Group: US; Unemployment (%): 8.5328; Offences per 100k: 819.609345
Seguin; Group: US; Unemployment (%): 4.3896; Offences per 100k: 1927.022465
Sinton; Group: US; Unemployment (%): 8.4427; Offences per 100k: 1848.196662
Southlake; Group: US; Unemployment (%): 2.7375; Offences per 100k: 1032.320309
Sugar Land; Group: US; Unemployment (%): 4.1201; Offences per 100k: 1461.621983
Temple; Group: US; Unemployment (%): 6.6373; Offences per 100k: 2679.069191
The Colony; Group: US; Unemployment (%): 4.0568; Offences per 100k: 1568.65319
Universal City; Group: US; Unemployment (%): 5.308; Offences per 100k: 2360.717658
Vernon; Group: US; Unemployment (%): 11.8186; Offences per 100k: 2411.376752
Waller; Group: US; Unemployment (%): 2.0497; Offences per 100k: 2288.392611
Weslaco; Group: US; Unemployment (%): 7.1398; Offences per 100k: 3915.895941
White Settlement; Group: US; Unemployment (%): 3.4105; Offences per 100k: 2210.191438
Windcrest; Group: US; Unemployment (%): 4.7144; Offences per 100k: 11514.939717
Yoakum; Group: US; Unemployment (%): 0; Offences per 100k: 991.792066
Clinton; Group: US; Unemployment (%): 4.8621; Offences per 100k: 859.077444
Farmington; Group: US; Unemployment (%): 3.199; Offences per 100k: 1118.875778
Hurricane; Group: US; Unemployment (%): 3.9291; Offences per 100k: 1249.901427
Lindon; Group: US; Unemployment (%): 4.1918; Offences per 100k: 2005.245791
Nephi; Group: US; Unemployment (%): 1.5927; Offences per 100k: 870.393037
Park City; Group: US; Unemployment (%): 0.7892; Offences per 100k: 2377.75881
Price; Group: US; Unemployment (%): 7.4015; Offences per 100k: 1196.95321
Riverton; Group: US; Unemployment (%): 3.4187; Offences per 100k: 968.44177
Salt Lake City; Group: US; Unemployment (%): 4.2479; Offences per 100k: 6064.182438
South Salt Lake; Group: US; Unemployment (%): 4.3278; Offences per 100k: 6640.956421
Tooele; Group: US; Unemployment (%): 3.8441; Offences per 100k: 1705.361121
West Valley City; Group: US; Unemployment (%): 4.2789; Offences per 100k: 2311.472198
Rutland; Group: US; Unemployment (%): 4.387; Offences per 100k: 4268.56666
Alexandria; Group: US; Unemployment (%): 3.297; Offences per 100k: 2859.113262
Bridgewater; Group: US; Unemployment (%): 3.4441; Offences per 100k: 600.908691
Christiansburg; Group: US; Unemployment (%): 2.3831; Offences per 100k: 2821.00731
Danville; Group: US; Unemployment (%): 5.5559; Offences per 100k: 3199.331981
Franklin; Group: US; Unemployment (%): 7.9261; Offences per 100k: 2999.173456
Harrisonburg; Group: US; Unemployment (%): 6.8555; Offences per 100k: 1960.21065
Lynchburg; Group: US; Unemployment (%): 5.3308; Offences per 100k: 2094.872976
Newport News; Group: US; Unemployment (%): 5.7683; Offences per 100k: 3152.051339
Portsmouth; Group: US; Unemployment (%): 6.5549; Offences per 100k: 4613.199391
Richmond; Group: US; Unemployment (%): 5.7277; Offences per 100k: 3516.317595
Strasburg; Group: US; Unemployment (%): 5.4945; Offences per 100k: 957.330416
Virginia Beach; Group: US; Unemployment (%): 3.9645; Offences per 100k: 1732.157177
Woodstock; Group: US; Unemployment (%): 5.6418; Offences per 100k: 1988.968745
Arlington; Group: US; Unemployment (%): 4.2026; Offences per 100k: 2559.000463
Bellingham; Group: US; Unemployment (%): 5.5934; Offences per 100k: 4106.898461
Bremerton; Group: US; Unemployment (%): 5.7445; Offences per 100k: 3248.768419
Camas; Group: US; Unemployment (%): 3.9907; Offences per 100k: 781.108084
College Place; Group: US; Unemployment (%): 6.4233; Offences per 100k: 1906.037503
DuPont; Group: US; Unemployment (%): 6.2249; Offences per 100k: 1167.717268
Enumclaw; Group: US; Unemployment (%): 3.7131; Offences per 100k: 1477.75507
Ferndale; Group: US; Unemployment (%): 3.1211; Offences per 100k: 1706.25422
Hoquiam; Group: US; Unemployment (%): 10.0439; Offences per 100k: 1876.919577
Kirkland; Group: US; Unemployment (%): 4.636; Offences per 100k: 2073.064497
Liberty Lake; Group: US; Unemployment (%): 2.7341; Offences per 100k: 1681.539937
Marysville; Group: US; Unemployment (%): 3.9012; Offences per 100k: 2186.94358
Moses Lake; Group: US; Unemployment (%): 4.6458; Offences per 100k: 4631.159856
Normandy Park; Group: US; Unemployment (%): 2.283; Offences per 100k: 1379.631065
Othello; Group: US; Unemployment (%): 5.4838; Offences per 100k: 2592.056959
Port Orchard; Group: US; Unemployment (%): 3.8893; Offences per 100k: 3286.18526
Puyallup; Group: US; Unemployment (%): 5.9863; Offences per 100k: 4243.639315
Ridgefield; Group: US; Unemployment (%): 6.8827; Offences per 100k: 1156.896655
Selah; Group: US; Unemployment (%): 4.39; Offences per 100k: 1182.277319
Snoqualmie; Group: US; Unemployment (%): 2.6374; Offences per 100k: 1115.718055
Sultan; Group: US; Unemployment (%): 1.0032; Offences per 100k: 702.512834
Tukwila; Group: US; Unemployment (%): 6.371; Offences per 100k: 16170.63966
Walla Walla; Group: US; Unemployment (%): 7.68; Offences per 100k: 2498.336459
Woodland; Group: US; Unemployment (%): 1.9149; Offences per 100k: 2825.382121
Bluefield; Group: US; Unemployment (%): 4.4317; Offences per 100k: 1516.970425
Clarksburg; Group: US; Unemployment (%): 4.416; Offences per 100k: 2592.06059
Hurricane; Group: US; Unemployment (%): 3.622; Offences per 100k: 1361.954108
Parkersburg; Group: US; Unemployment (%): 7.8609; Offences per 100k: 3477.355544
Weirton; Group: US; Unemployment (%): 7.1307; Offences per 100k: 468.293758
Ashland; Group: US; Unemployment (%): 3.7082; Offences per 100k: 3125.794155
Bloomfield; Group: US; Unemployment (%): 3.6969; Offences per 100k: 240.024002
Cedarburg; Group: US; Unemployment (%): 2.0764; Offences per 100k: 442.722745
Cudahy; Group: US; Unemployment (%): 2.4232; Offences per 100k: 887.858395
Dodgeville; Group: US; Unemployment (%): 6.5517; Offences per 100k: 1894.53125
Fitchburg; Group: US; Unemployment (%): 1.8943; Offences per 100k: 1616.402359
Franklin; Group: US; Unemployment (%): 3.3699; Offences per 100k: 1257.914732
Greendale; Group: US; Unemployment (%): 2.1459; Offences per 100k: 1023.442362
Holmen; Group: US; Unemployment (%): 0.2751; Offences per 100k: 513.079317
Kenosha; Group: US; Unemployment (%): 4.5195; Offences per 100k: 1152.050137
McFarland; Group: US; Unemployment (%): 3.4177; Offences per 100k: 885.232243
Mayville; Group: US; Unemployment (%): 4.2796; Offences per 100k: 449.131029
Mequon; Group: US; Unemployment (%): 2.606; Offences per 100k: 597.983272
Monona; Group: US; Unemployment (%): 2.4744; Offences per 100k: 3172.365174
Muskego; Group: US; Unemployment (%): 2.0193; Offences per 100k: 1543.975738
North Fond du Lac; Group: US; Unemployment (%): 8.2285; Offences per 100k: 802.089162
Oshkosh; Group: US; Unemployment (%): 2.7846; Offences per 100k: 1683.486378
Portage; Group: US; Unemployment (%): 3.7319; Offences per 100k: 2094.608138
Rice Lake; Group: US; Unemployment (%): 3.1931; Offences per 100k: 1589.418695
Sheboygan; Group: US; Unemployment (%): 2.6999; Offences per 100k: 1715.379964
South Milwaukee; Group: US; Unemployment (%): 3.6286; Offences per 100k: 1457.032412
Sturtevant; Group: US; Unemployment (%): 5.8171; Offences per 100k: 554.141081
Two Rivers; Group: US; Unemployment (%): 1.6955; Offences per 100k: 700.305261
Waunakee; Group: US; Unemployment (%): 1.433; Offences per 100k: 315.229526
West Allis; Group: US; Unemployment (%): 4.0925; Offences per 100k: 2234.038939
Wisconsin Rapids; Group: US; Unemployment (%): 6.5768; Offences per 100k: 2424.470487
Evanston; Group: US; Unemployment (%): 3.9446; Offences per 100k: 2021.483549
Powell; Group: US; Unemployment (%): 3.7001; Offences per 100k: 1459.293395

Where it breaks down

The first breakdown is geographic grain. Spain’s full coefficient of +0.013 combines 378 municipality rows at +0.040 with 47 city-grain rows at -0.354. The smaller city subset is too limited to replace the headline, but the reversal shows that the pooled Spanish estimate depends on which administrative units are included. Germany’s district-grain rows are +0.251 and its 37 city-grain rows +0.389; repeated district outcomes still prevent 1,118 rows from acting like independent city observations.

The UK illustrates a different failure. Twenty-two rows use city unemployment from 2018 and three use 2023 regional_context; all pair with 2024 crime. The city-only coefficient is -0.147, while the full 25-row coefficient is +0.004. Neither small estimate is stable enough to support relocation advice.

City size is a competing correlate, not an explanation. Lithuania provides the clearest contrast: unemployment is +0.029 while population is +0.638 on the same 30 places. Spain is +0.013 for unemployment and +0.201 for population; Canada is +0.021 and -0.295. Belgium and the Netherlands are positive on both. No single size adjustment can turn these patterns into one mechanism.

The table requires a technical correction in interpretation. Population is missing for 204 US rows and two UK rows, but the packet carries each country’s full-sample unemployment coefficient beside the smaller population-complete n. Recalculating both coefficients on identical rows gives +0.325 for US unemployment versus +0.263 for population, and -0.109 for UK unemployment versus +0.229 for population. The US conclusion is unchanged; the UK comparison becomes even less stable.

A rank-based population sensitivity also leaves heterogeneity intact. After residualising unemployment and crime ranks on population within complete rows, coefficients remain +0.686 in Sweden, +0.682 in Belgium, +0.523 in the Netherlands and +0.304 in the United States; Germany falls to +0.196 and Spain to -0.100. This is not causal adjustment—only a one-variable robustness check.

What this means if you are moving

In Sweden, the Netherlands and Belgium, unemployment is a meaningful contextual companion to recorded crime in this packet; Denmark also shows a moderate alignment. In the United States and Germany it is a weaker screen, with Germany further limited by district-grain outcomes. In Spain, Portugal, Canada, Lithuania and the UK, the coefficient is too close to zero or too sample-sensitive to carry much decision weight.

Even in the stronger countries, do not translate the association into a story about unemployed residents or assume unemployment reduction would change crime. Use it to flag where two place-level conditions overlap, then inspect the actual variables relevant to a move: job availability by sector, offence categories, neighbourhood patterns, reporting year and the geographic boundary behind each rate.

Compare shortlisted places only within the same source system, period and grain where possible. A current city-level offence series and a current local labour measure are more useful than a national coefficient built from mismatched years. The pairing is context, not a substitute for direct city evidence.

Limits

This is a bivariate, ecological, cross-sectional analysis. It cannot establish causation in either direction and does not measure deprivation, policing intensity, reporting propensity, urban form, tourism, commuting, age structure, housing conditions or any other mechanism that could shape both variables.

Definitions and dates are not harmonised. Belgium’s 14-year pairing and Portugal’s roughly four-year mismatch are especially important. Crime-recording systems differ even within the UK, while unemployment sources range from registers to surveys. The coefficients describe ordering inside each assembled sample, not synchronized city conditions.

Rows are not fully independent. German district outcomes repeat across cities; nearby places may share police jurisdictions, economic conditions or source methodology. Spain mixes municipality and city grain. Standard p-values and the apparent precision of large n do not correct those dependencies.

Coverage is uneven: 4,298 US rows versus 25 in the UK, 30 in Lithuania and 37 in Canada. The 20-place floor prevents the thinnest country estimates from being reported, but it does not make small samples stable or the packet representative of all destinations.

Recorded offences may omit unreported incidents and reflect enforcement or publication choices. Unemployment may omit discouraged workers or use administrative eligibility rules. Neither variable is an individual-risk measure, and neither supports cross-country level rankings.

Method

We calculated Spearman’s rank correlation between unemployment percentage and recorded offences per 100,000 separately within each country. A country required at least 20 complete rows. Eleven countries passed, yielding 7,310 rows; the pooled +0.340 uses all 7,339 rows only to demonstrate the aggregation problem.

Spearman is primary because it asks whether higher unemployment ranks tend to accompany higher recorded-crime ranks without requiring a linear relationship in raw units. Pearson is retained as a shape diagnostic. Coefficients are descriptive; no population weighting, missing-value imputation, cross-country standardisation or causal model was applied.

Quartile ratios use the within-country 25th- and 75th-percentile unemployment cutoffs, retain all rows tied at each boundary, and divide the high-unemployment group’s median crime rate by the low-unemployment group’s median. The population sensitivity ranks all three variables, removes the linear rank association with population and correlates the residuals. It controls one observed ranking only and cannot identify a mechanism.

The unadjusted two-sided Spearman p-values ignore spatial dependence and repeated administrative outcomes and are reported only as a sensitivity check. Grain-specific estimates were recalculated for Germany, Spain and the UK. Parent-municipality values inherited by subdivisions were excluded before analysis.

FAQ

Does unemployment cause crime?

This analysis cannot answer causation. It compares city-level unemployment and recorded-crime ranks at one point or period, without measuring policing, reporting, deprivation, urban form or other possible influences. It also cannot say anything about an individual unemployed person’s behaviour; doing so would be the ecological fallacy.

Where is the unemployment–crime relationship strongest?

The strongest reportable Spearman coefficients are Sweden at +0.683, the Netherlands at +0.647 and Belgium at +0.646. Denmark follows at +0.421. These are within-country rankings under each country’s own unemployment and recorded-crime definitions, not evidence that their national levels are higher or directly comparable.

Where is the coefficient closest to zero?

The United Kingdom is +0.004 across 25 places, Spain +0.013 across 425, Canada +0.021 across 37, Lithuania +0.029 across 30 and Portugal +0.044 across 280. These are sample coefficients near zero, not proof that the underlying relationship is exactly zero.

Does city population explain the unemployment–crime result?

No single size explanation fits all countries. Lithuania has a +0.638 population–crime coefficient but only +0.029 for unemployment; Belgium and the Netherlands are positive on both; Portugal is slightly positive for unemployment and negative for population. Population is a competing correlate, not a demonstrated mechanism.

How should movers use these figures?

Use the pairing only as a country-specific screening clue. Check each shortlisted city’s observation year, geographic grain, offence definition and unemployment definition, then compare places covered by the same source system. Direct neighbourhood, offence-category and labour-market evidence is more useful than assuming one national coefficient applies everywhere.

Sources

The packet contains 2,264 source records. The publisher-level ledger below is generated from sources.csv; each link opens one representative record from that publisher family.

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.
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 — 425 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.
Bundesagentur für Arbeit (BA), Statistik — Arbeitslosenquoten — Länder, Kreise und Gemeinden, Gesamt, 2024 annual average — 1 source record; grade A; checked 2026-07-26.
Bundesagentur für Arbeit, Statistik — 1 source record; grade A; checked 2026-08-05.
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.
California Department of Water Resources, Division of Integrated Regional Water Management (BIOS) — 1 source record; grade A; checked 2026-08-05.
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.
Census Reporter — Census Reporter mirror of ACS 2024 5-year tables — 98 source records; grade C; checked 2026-07-26.
Census Reporter (underlying U.S. Census ACS) — 189 source records; grade B; checked 2026-08-03.
Census Reporter / U.S. Census Bureau — 404 source records; grade B; checked 2026-08-03.
Centraal Bureau voor de Statistiek (CBS), Netherlands — CBS labour market in figures 2024 — unemployment by municipality — 1 source record; grade A; checked 2026-07-26.
Central Statistical Bureau of Latvia — CSB Latvia RIG090 — share of unemployed persons among economically active population aged 15-74 — 2 source records; grade A; checked 2026-07-26.
Czech Statistical Office — ČSÚ — Unemployment in Prague in 2025 — 2 source records; 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.
data.gov.lv — 1 source record; grade A; checked 2026-07-14.
Destatis — Official municipality population divided by official municipality area from the same Destatis row. — 1 source record; grade A; checked 2024-12-31.
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.
Eurostat — 3 source records; grade A; checked 2026-07-30 to 2026-08-05.
Eurostat (ESTAT) — Unemployment rate — 3 source records; grade A; checked 2026-07-16.
Eurostat GISCO / Eurostat Urban Audit — 1 source record; grade B; checked 2026-08-02.
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 — 1 source record; grade A; checked 2026-08-05.
get.data.gov.lt — 1 source record; grade A; checked 2026-07-14.
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.
Hungarian Central Statistical Office and official public authorities — KSH official data — 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.
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 do Emprego e Formação Profissional (IEFP), Portugal — IEFP — registered unemployment by municipality, June 2026 — 1 source record; grade B; checked 2026-07-26.
Instituto Nacional de Estadística (INE), Spain — INE Urban Indicators — unemployment rate by city — 1 source record; grade A; checked 2026-07-26.
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.
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.
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.
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 — 1 source record; grade A; checked 2026-08-05.
no_ssb_07459_population — SSB table 07459 — Population by region, 1 January 2026 — 1 source record; grade A; checked 2026-07-14.
Norwegian Labour and Welfare Administration (NAV) — NAV HL301 — fully unemployed by county and municipality, June 2026 — 1 source record; grade A; checked 2026-07-26.
Office for National Statistics — 1 source record; grade A; checked 2026-08-04.
Office for National Statistics (ONS) — 1 source record; grade A; checked 2026-08-06.
Office for National Statistics via Nomis — 1 source record; grade A; checked 2026-08-05.
official authority — Belgium official denominator source — 972 source records; grade A; checked 2026-07-14.
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.
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_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_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_Q174800 — 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_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.
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.
Servicio Público de Empleo Estatal (SEPE), Spain — SEPE — registered unemployment by municipality, June 2026 — 1 source record; grade B; checked 2026-07-26.
Spanish Ministry of Interior / Criminality Statistics Portal — 1 source record; grade A; checked 2026-08-05.
Statbel / Belgian Census 2011 — Statbel be.STAT — unemployment rate of 15–64-year-olds by municipality, Census 2011 — 1 source record; grade B; checked 2026-07-26.
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) — 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.
State Data Agency of Lithuania (Statistics Lithuania) and Employment Service — Statistics Lithuania / OSP — registered unemployment 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 — 40 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 — 3 source records; grade A; checked 2026-07-26 to 2026-07-29.
Statistics Denmark and official Danish public authorities — DK official material for crime_incidents_per_100k — 2 source records; grade A; checked 2026-07-18.
Statistics Finland — Statistics Finland municipal offences recorded, table 13ex — 2 source records; 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) — 2 source records; grade A; checked 2026-07-16 to 2026-07-29.
Statistics Sweden (SCB) — SCB labour-market variables by municipality, 2022–2024 — 4 source records; grades A, B; checked 2025-12-31 to 2026-07-29.
STATISTIK AUSTRIA — STATISTIK AUSTRIA — Wirtschaftsatlas, Österreich und seine Bundesländer — 1 source record; grade A; checked 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) — 3 source records; grade A; checked 2026-08-03 to 2026-08-05.
Statistisches Bundesamt (Destatis) / Statistical Offices of the Länder — Zensus 2022 regional tables — Germany municipalities — 2 source records; 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) — 2 source records; grade A; checked 2026-08-03.
U.S. Census Bureau, Population Estimates Program — 2 source records; grade A; checked 2026-08-03 to 2026-08-05.
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.
Užimtumo tarnyba prie Lietuvos Respublikos socialinės apsaugos ir darbo ministerijos — 1 source record; grade A; checked 2026-08-05.