%MAY 13th 2002

function allcities=eiulabels(cityrows);

%  RN = region number (ie, africa, asia.....)
%  NN = nation number
%  CN = city number

% The data from Eurostat, in the spreadsheet, are organized alphabetically, which corresponds 
%    the first column of numbers here

%CITY	                COL	RN NN CN
allcities=[
'DOUALA             '%	36	1	1	1
'ABIDJAN            '%	1	1	2	2
'CAIRO              '%  25	1	3	3
'LIBRE VILLE        '%	61	1	4	4
'NAIROBI            '%	81	1	5	5
'TRIPOLI            '%	115	1	6	6
'CASABLANCA         '%	28	1	7	7
'LAGOS              '%	59	1	8	8
'DAKAR              '%	33	1	9	9
'JOHANNESBURG       '%	55	1	10	10
'TUNIS              '%	116	1	11	11
'HARARE             '%	46	1	12	12
'BAKU               '%	12	2	13	13
'BAHRAIN            '%	11	2	14	14
'DHAKA              '%	35	2	15	15
'BEIJING            '%	15	2	16	16
'GUANG ZHOU         '%	42	2	16	17
'SHANGHAI           '%	103	2	16	18
'SHENZEN            '%	104	2	16	19
'TIANJIN            '%	112	2	16	20
'HONG KONG          '%	49	2	17	21
'MUMBAI             '%	79	2	18	22
'NEW DELHI          '%	82	2	18	23
'JAKARTA            '%	53	2	19	24
'TEHRAN             '%	110	2	20	25
'TEL AVIV           '%	111	2	21	26
'OSAKA KOBE         '%	84	2	22	27
'TOKYO              '%	113	2	22	28
'AMMAN              '%	5	2	23	29
'SEOUL              '%	102	2	24	30
'KUWAIT             '%	58	2	25	31
'KUALA LUMPUR       '%	57	2	26	32
'KARACHI            '%	56	2	27	33
'PORT MORESBY       '%	90	2	28	34
'MANILA             '%	70	2	29	35
'AL KHOBAR          '%	4	2	30	36
'JEDDAH             '%	54	2	30	37
'RIYADH             '%	95	2	30	38
'SINGAPORE          '%	105	2	31	39
'COLOMBO            '%	31	2	32	40
'TAIPEI             '%	109	2	33	41
'BANGKOK            '%	13	2	34	42
'ABU DHABI          '%	2	2	35	43
'DUBAI              '%	37	2	35	44
'HANOI              '%	45	2	36	45
'HO CHI MINH CITY   '%	48	2	36	46
'BUENOS AIRES       '%	24	3	37	47
'RIO DE JANEIRO     '%	94	3	38	48
'SAO PAULO          '%	100	3	38	49
'SANTIAGO           '%	99	3	39	50
'BOGOTA             '%	18	3	40	51
'SAN JOSE           '%	98	3	41	52
'QUITO              '%	92	3	42	53
'GUATEMALA CITY     '%	43	3	43	54
'MEXICO CITY        '%	72	3	44	55
'PANAMA CITY        '%	86	3	45	56
'ASUNCION           '%	7	3	46	57
'LIMA               '%	62	3	47	58
'MONTEVIDEO         '%	76	3	48	59
'CARACAS            '%	27	3	49	60
'VIENNA             '%	118	4	50	61
'BRUSSELS           '%	21	4	51	62
'ZAGREB             '%	122	4	52	63
'PRAGUE             '%	91	4	53	64
'COPENHAGEN         '%	32	4	54	65
'HELSINKI           '%	47	4	55	66
'LYON               '%	67	4	56	67
'PARIS              '%	87	4	56	68
'BERLIN             '%	17	4	57	69
'DUSSELDORF         '%	39	4	57	70
'FRANKFURT          '%	40	4	57	71
'HAMBURG            '%	44	4	57	72
'MUNICH             '%	80	4	57	73
'ATHENS             '%	8	4	58	74
'BUDAPEST           '%	23	4	59	75
'REYKJAVIK          '%	93	4	60	76
'DUBLIN             '%	38	4	61	77
'MILAN              '%	74	4	62	78
'ROME               '%	96	4	62	79
'LUXEMBOURG         '%	66	4	63	80
'AMSTERDAM          '%	6	4	64	81
'OSLO               '%	85	4	65	82
'WARSAW             '%	119	4	66	83
'LISBON             '%	63	4	67	84
'BUCHAREST          '%	22	4	68	85
'MOSCOW             '%	78	4	69	86
'ST PETERSBURG      '%	106	4	69	87
'BARCELONA          '%	14	4	70	88
'MADRID             '%	68	4	70	89
'STOCKHOLM          '%	107	4	71	90
'GENEVA             '%	41	4	72	91
'ZURICH             '%	123	4	72	92
'ISTANBUL           '%	52	4	73	93
'LONDON             '%	64	4	74	94
'MANCHESTER         '%	69	4	74	95
'BELGRADE           '%	16	4	75	96
'ADELAIDE           '%	3	5	76	97
'BRISBANE           '%	20	5	76	98
'MELBOURNE          '%	71	5	76	99
'PERTH              '%	88	5	76	100
'SYDNEY             '%	108	5	76	101
'AUCKLAND           '%	10	5	77	102
'WELLINGTON         '%	121	5	77	103
'CALGARY            '%	26	6	78	104
'MONTREAL           '%	77	6	78	105
'TORONTO            '%	114	6	78	106
'VANCOUVER          '%	117	6	78	107
'ATLANTA            '%	9	6	79	108
'BOSTON             '%	19	6	79	109
'CHICAGO            '%	29	6	79	110
'CLEVELAND          '%	30	6	79	111
'DETROIT            '%	34	6	79	112
'HONOLULU           '%	50	6	79	113
'HOUSTON            '%	51	6	79	114
'LEXINGTON          '%	60	6	79	115
'LOS ANGELES        '%	65	6	79	116
'MIAMI              '%	73	6	79	117
'MINNEAPOLIS        '%	75	6	79	118
'NEW YORK           '%	83	6	79	119
'PITTSBURGH         '%	89	6	79	120
'SAN FRANCISCO      '%	97	6	79	121
'SEATTLE            '%	101	6	79	122
'WASHINGTON DC      '%	120	6	79	123
];
       
       
       
%NATION  NN 
oecdnations=[
'GERMANY     ' %57
'FRANCE      ' %56
'ITALY       ' %62
'NETHERLANDS ' %64
'BELGIUM     ' %51
'LUXEMBURG   ' %63
'UK          ' %74
'IRELAND     ' %61
'DENMARK     ' %54
'GREECE      ' %58
'SPAIN       ' %70
'PORTUGAL    ' %67
'AUSTRIA     ' %50
'CHECH REP   ' %53
'FINLAND     ' %55
'ICELAND     ' %60
'NORWAY      ' %65
'SWEDEN      ' %71
'TURKEY      ' %73
'AUSTRALIA   ' %76
'NEW ZEALAND ' %77
'JAPAN       ' %22
'CANADA      ' %78
'USA         ' ]; %79
       
return;