Saturday, 9 March 2013

We are often told by the media and our liberal government that the only difference between races is skin colour. However, a look at crime statistics broken down by race suggests that pigmentation is not the only thing that separates us.

By comparing official statistics from both the 2011 Census and 2011 crime statistics from the Ministry of Justice, it is possible to calculate which races in England and Wales proportionally commit the most crime.

The data shows that, out of the three races listed in the MoJ data, whites commit proportionally the fewest crimes, Asians commit slightly more, and blacks by far the most.

Some key stats are listed below, followed by the complete data, including links to the source material.

Key statistics

• Proportionally, blacks in England and Wales commit significantly more violent crimes – of all kinds – than whites

• Blacks are 6.6 times more likely than whites to commit murder

• Blacks are 7.3 times more likely than whites to commit firearms offences

• Blacks are 3.7 times more likely than whites to commit rape

• Blacks commit over a quarter of robberies in England and Wales, despite being only 3.3% of the population. They are over 12 times more likely than whites to commit robbery

• Proportionally, Asians commit marginally more violent crime than whites. They are more likely to commit murder, rape and robbery, and less likely to possess firearms, blades, or steal from a person

The data:

Population

Population of England and Wales, source: 2011 ONS Census

White – 48,209,395 (85.97%)
[White British – 45,134, 686 – 80.48%]
Black – 1,864,890 (3.32%)
Asian – 3,820,390 (6.81%)
Chinese – 393,141 (0.7%)
Mixed race – 1,224,400 (2.18%)
Arab – 230,600 (0.41%)
Other – 333,096 (0.59%)
Total – 56,075,912

Crime

Offenders found guilty of selected offences by ethnicity in England and Wales, 2011, source: MoJ

Murder

White – 223 (65.01%)
Black – 57 (16.61%)
Asian – 29 (8.45%)
Other – 4 (1.16%)
Not stated – 30 (8.74%)
Total – 343

Blacks are 6.6 times more likely than whites to commit murder
Asians are 1.6 times more likely than whites to commit murder

Rape/attempted rape

White – 820 (71.11%)
Black – 118 (10.23%)
Asian – 85 (7.37%)
Other – 34 (2.94%)
Not stated – 96 (8.32%)
Total – 1153

Blacks are 3.7 times more likely than whites to commit rape
Asians are 1.3 times more likely than whites to commit rape

Robbery/assault with intent to rob

White – 5054 (54.54%) 
Black – 2377 (25.65%)
Asian – 730 (7.87%)
Other – 279 (3.01%)
Not stated – 825 (8.90%)
Total – 9265

Blacks are 12.2 times more likely than whites to commit robbery
Asians are 1.8 times more likely than whites to commit robbery

Stealing from the person of another

White – 4514 (67.47%) 
Black – 682 (10.19%)
Asian – 301 (4.49%)
Other – 226 (3.37%)
Not stated – 967 (14.45%)
Total – 6690

Blacks are 3.9 more likely than whites to steal from the person of another

Possession of an article with a blade or point in a public place or on school premises

White – 4518 (72.26%)
Black – 1034 (16.53%)
Asian – 224 (3.58%)
Other – 93 (1.48%)
Not stated – 383 (6.12%)
Total – 6252

Blacks are 5.9 more likely than whites to commit of knife offences

Possession of firearms, certificate related and miscellaneous firearms offences

White – 989 (64.05%)
Black – 281 (18.19%)
Asian – 72 (4.66%)
Other – 33 (2.13%)
Not stated – 169 (10.94%)
Total – 1544

Blacks are 7.3 more likely than whites to commit firearms offences

Notes on the statistics

While the Census data features a wide range of racial categories, the MoJ data includes just five: white, black, Asian, other, and not stated. This makes it impossible to determine the mixed race crime rate. It is also difficult to determine exactly what is meant by ‘Asian’ in the MoJ data. The ‘Asian’ population in the above calculations has been arrived at by adding together the Census categories of the following: ‘Asian/Asian British: Indian’, ‘Asian/Asian British: Pakistani’, ‘Asian/Asian British: Bangladeshi’, ‘Asian/Asian British: Asian Other’. It excludes ‘Asian/Asian British: Chinese’ and ‘Arab’. This is in accordance with the LFS variable ETHUKEUL.

Population data source: ONS (Excel file)

Crime data source: whatdotheyknow.com


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