£ 3billion

Related by string. * : £ #.#m [004] . £ #m [002] . £ #.#m [006] . £ #.#m [001] . 3m £ #.#m . £ #m [001] . £ #.#m [003] . £ #.#bn [006] . £ #.#bn [003] . £ #million [001] . 2m £ #.#m . £ #.#bn [007] . £ #bn [001] . £ #k [002] . Â £ #.#m . Â £ #million [002] . £ #million swoop . 5m £ #.#m . £ 1m . Â £ #million [001] . Â £ #.#million [003] . Â £ #.#million [002] / : 3billion * *

Related by context. Frequent words. (Click for all words.) 81 £ #million [002] 80 £ 2bn 79 £ 1bn 78 £ #bn [001] 77 £ #.#bn [003] 77 £ #m [001] 76 £ #m [002] 72 £ #million [001] 71 £ #bn [002] 70 £ 1m 70 £ #.#bn [006] 70 £ 5m 70 £ 4m 69 £ 2m 69 £ 3m 69 £ 1million 68 £ 7m 68 £ 8m 68 £ #.#m [001] 67 £ 6m 65 £ #.#million [002] 65 £ #.#bn [007] 64 £ 2million 64 £ 63 £ #.#m [006] 63 £ #.#million [003] 61 £ 5million 61 Â £ 60 € #.#bn [002] 59 £ #.#m [003] 59 GBP# [001] 58 € #bn [001] 57 bln stg 57 € #m [002] 57 GBP# [003] 56 € #m [001] 56 £ #k [002] 56 £ #.#m [004] 54 Chancellor Alistair Darling 54 Exchequer 52 #million [002] 52 #million [001] 52 George Osborne 52 #pc [002] 52 #bn [002] 52 #bn [001] 51 #.#million [008] 50 Gordon Brown 50 € #.#m [003] 50 NHS 49 #.#bn [005] 49 2bn 49 Sainsbury 48 #p [002] 48 #.#pc [002] 48 Alistair Darling 47 mln stg 47 1bn 47 3bn 47 UK 47 stg 47 Network Rail 47 #.#bn [003] 47 € #.#m [004] 47 Merseyside 46 TfL 46 HM Revenue 46 Britain 46 Northern Rock 45 Greater Manchester 45 Wirral 45 GBP 45 trebled 44 EUR#.# billion [004] 44 quid 44 Asda 44 R#m [002] 44 R#.# billion [001] 44 Cumbrian 44 householders 44 HMRC 44 Tesco 44 billions 44 Rs# crore [001] 44 2m 44 Lloyds Banking Group 44 Royal Mail 44 MoD 44 Boris Johnson 44 West Midlands 44 #.#pc [001] 43 Morrisons 43 #.#m [004] 43 Lloyds 43 Lord Mandelson 43 Welsh Assembly 43 Oxfordshire 43 Stansted 43 HBOS 43 bln eur 43 Teesside

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