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Ukraine October 2012: Lada Samara and ZAZ Sens strong

The Geely LC Cross was just launched in Ukraine in October.

* See the Top 220 best-selling models by clicking on the title! Many thanks to Igor *

21,297 new vehicles found a buyer in Ukraine in October, bringing the year-to-date total to 172,040 units. Like last month, the Lada Samara leads the models ranking thanks to 751 sales and 3.5% but stays #2 year-to-date at 6,117 units and 3.6%. The ZAZ Sens is up one spot to #2 with 690 sales and 3.2% and ranks #4 year-to-date. The Hyundai Accent and Skoda Octavia share the third spot at 630 units and 3% both, with the Octavia keeping the YTD lead at 6,692 sales and 3.9% while the Accent is #3 at 5,753 units and 3.3%.

Lifan X60

Notice the Geely CK again extremely robust at #6 with 487 sales and 2.3% vs. #9 YTD. Other great performers this month in Ukraine include the Skoda Fabia up 7 spots to #10, the Renault Duster up 20 to #13, the ZAZ Vida at #14 vs. #31 YTD, the Honda CR-V at #22 vs. #37, the SsangYong Korando at #35 vs. #48, the Skoda Superb at #37 vs. #70, Geely MK-2/Cross at #42 vs. #63, Kia Cee’d at #48 vs. #85 and BYD F3 at #74 vs. #123.

Finally, the Lifan X60 is up 12 ranks to #182, the MG 6 is up 2 to #191, the Saipa Tiba up 33 to #198 with 13 sales, the Peugeot 4008 up 48 to #200 and the Geely LC/Cross landing at #202 with 12 units sold for its first month in Ukraine.

Previous month: Ukraine September 2012: Lada Samara leads, Geely CK up to #4

Previous year: Ukraine Full Year 2011: ZAZ Lanos leader, two Ladas on podium

Full October 2012 Top 220 Ranking Table below.

Ukraine October 2012:

PosModelOct-12%Sep2012%Pos2011
1Lada Samara7513.5%16,1173.6%22
2ZAZ Sens6903.2%35,5603.2%48
3Skoda Octavia6303.0%66,6923.9%14
3Hyundai Accent6303.0%25,7533.3%35
5Kia Rio5202.4%54,7592.8%534
6Geely CK4872.3%43,9342.3%915
7Renault Logan4842.3%74,4492.6%77
8VW Polo4362.0%114,2952.5%812
9ZAZ Lanos3951.9%84,5652.7%61
10Skoda Fabia3571.7%172,7121.6%1213
11Lada Priora3471.6%93,6432.1%103
12Chevrolet Nubira/Lacetti3351.6%152,2171.3%1925
13Renault Duster3351.6%332,0581.2%2231
14ZAZ Vida3221.5%101,6421.0%31 –
15Nissan Qashqai3021.4%132,4231.4%1617
16Kia Sportage2951.4%162,6811.6%1330
17Geely Emgrand EC72721.3%142,0221.2%2380
18Fiat Doblo2681.3%211,9751.1%2535
19Lada 4×42571.2%321,9741.1%2619
20Nissan Juke2461.2%301,9951.2%2466
21Renault Sandero2451.2%221,6411.0%3247
22Honda CR-V2441.1%231,5010.9%3746
23Geely MK2381.1%191,8041.0%2828
24Ford Fiesta2371.1%292,3811.4%1738
25Ford Transit2341.1%278670.5%6797
26Hyundai Elantra2301.1%122,9831.7%1114
27Toyota Camry2291.1%312,3391.4%1836
28ZAZ Forza2221.0%182,6551.5%1421
29Daewoo Matiz2171.0%242,1741.3%2010
30Ford Kuga2131.0%201,5650.9%3550
31Hyundai Santa Fe2091.0%251,8571.1%2727
32Daewoo Nexia2000.9%451,3090.8%4324
33Ford Focus1880.9%341,7551.0%2911
34Nissan X-Trail1850.9%541,3380.8%4151
35SsangYong Korando1830.9%351,2180.7%4858
36VW Touareg1780.8%531,3770.8%3963
37Skoda Superb1770.8%488600.5%7076
38Opel Astra1720.8%411,2620.7%4674
39Hyundai Tucson1680.8%281,6160.9%3337
40Toyota Corolla1640.8%262,0691.2%2116
41Hyundai i301640.8%461,2880.7%4520
42Geely MK-2/Cross1620.8%559100.5%63118
43Citroen C41540.7%371,4570.8%3893
44Mitsubishi Outlander1410.7%509770.6%5744
45VW Golf1370.6%391,6020.9%3440
46Lada Kalina1320.6%409530.6%5926
47Toyota Land Cruiser Prado1310.6%431,2550.7%4752
48Kia Cee’d1310.6%715740.3%85105
49Chevrolet Cruze1290.6%381,5110.9%3648
50Hyundai ix351270.6%491,2890.7%4422
51VW Passat1220.6%571,6811.0%3032
52Toyota Highlander1210.6%421,0400.6%5249
53Bogdan 21101170.5%529930.6%55108
54Mercedes ML-Class1150.5%729280.5%61109
55Kia Cerato/Koup1070.5%751,0220.6%5454
56Toyota Land Cruiser1070.5%608430.5%7278
57Ford Mondeo1060.5%658900.5%6459
58VW Caddy1050.5%689280.5%6255
59VW Tiguan1040.5%761,3220.8%4253
60Peugeot 3081040.5%709330.5%6062
61Lada Granta1010.5%1788840.5%66 –
62Toyota RAV41000.5%361,3740.8%4043
63GAZ 3302950.4%479800.6%5642
64Mitsubishi Pajero Sport950.4%836420.4%8160
65Bogdan 2111940.4%736460.4%80142
66Nissan Note930.4%561,0270.6%5356
67Lexus RX930.4%676820.4%7868
68Chevrolet Aveo920.4%442,6381.5%156
69Kia Sorento920.4%581,0540.6%5170
70Nissan Almera Classic890.4%641,0600.6%5057
71Toyota Avensis870.4%748860.5%6561
72Kia Soul850.4%511,1990.7%4929
73Mitsubishi ASX840.4%919610.6%5833
74BYD F3840.4%1033360.2%123n/a
75Suzuki SX4830.4%638550.5%7171
76Toyota Auris810.4%627800.5%7467
77Renault Fluence800.4%816320.4%8264
78Fiat Linea790.4%617780.5%75115
79Nissan Tiida780.4%927140.4%7765
80Peugeot 107760.4%597860.5%7390
81Geely SL680.3%695170.3%93185
82Hyundai Sonata670.3%848610.5%6941
83Chery Tiggo640.3%824990.3%9679
84Hyundai i10620.3%667280.4%7695
85VW CC620.3%885390.3%88 –
86Toyota Yaris610.3%855720.3%86195
87SsangYong Kyron610.3%795060.3%9586
88Chery QQ590.3%806160.4%8377
89Hyundai i20590.3%945260.3%9199
90Porsche Cayenne580.3%1064860.3%97112
91Mazda CX-5580.3%1714110.2%109 –
92Ford Connect550.3%894200.2%108110
93ZAZ Lanos Pick-up540.3%975230.3%9285
94Audi A6540.3%984490.3%105125
95Citroen C3 Picasso510.2%1283230.2%125133
96VW Transporter500.2%864840.3%9994
97Renault Megane500.2%1242850.2%139127
98Renault Kangoo490.2%1145160.3%94103
99BMW X5490.2%1233450.2%119113
100Citroen Berlingo470.2%1104640.3%10173
101Peugeot Partner470.2%1294640.3%10291
102Peugeot 3008470.2%1114300.2%10788
103BMW 5 Series460.2%994840.3%98139
104Mazda6460.2%1013450.2%12092
105BMW X1460.2%1312960.2%135164
106Mitsubishi Lancer X450.2%778640.5%6839
107Chevrolet Captiva450.2%1004610.3%104167
108VW Jetta450.2%1043610.2%116150
109BMW 3 Series450.2%1391230.1%198210
110Volvo XC60420.2%1181900.1%168202
111Honda Civic400.2%905270.3%90128
112Renault Logan Van400.2%1123340.2%124132
113Skoda Yeti390.2%954060.2%111194
114Subaru Outback390.2%1213690.2%114101
115Audi Q7390.2%1493600.2%117148
116Great Wall Haval H3390.2%1423030.2%132n/a
117Mitsubishi Pajero380.2%1073190.2%127102
118Kia Optima/Magentis370.2%965770.3%84n/a
119Chery Beat370.2%1094760.3%100104
120Chevrolet Niva370.2%1154620.3%10375
121Toyota Hilux370.2%1052450.1%147163
122Fiat Grande Punto360.2%1303210.2%126130
123Mercedes E-Class350.2%1133750.2%113120
124Honda Accord340.2%1025340.3%8969
125Citroen C1340.2%933440.2%121140
126Renault Master340.2%1332560.1%143157
127Volvo XC90340.2%1382320.1%151160
128UAZ 3741340.2%176980.1%214200
129Chery M11330.2%1344090.2%11072
130Chevrolet Orlando330.2%1322790.2%140215
131Range Rover Sport330.2%1502610.2%142162
132BMW X6330.2%2162200.1%155129
133Range Rover Evoque310.1%1263460.2%118n/a
134Great Wall Voleex C30310.1%1592360.1%149 –
135GAZ 32213310.1%1842320.1%150135
136Audi A4310.1%1721700.1%174169
137Chery Amulet300.1%1483620.2%11587
138Opel Zafira300.1%1362220.1%154199
139Honda Pilot300.1%1671560.1%178196
140Lexus LX270.1%1852160.1%158122
141Mazda3260.1%1353090.2%13084
142VW Amarok260.1%1462370.1%148146
143Citroen DS4260.1%1431660.1%175 –
144Peugeot 508260.1%1871200.1%203 –
145Infiniti FX250.1%1452470.1%145154
146BMW X3250.1%1612190.1%156176
147Suzuki Grand Vitara250.1%1622190.1%157106
148Fiat Qubo250.1%1251350.1%189 –
149VW Touran240.1%1443180.2%128119
150Mitsubishi L200240.1%1222940.2%13696
151Opel Insignia240.1%1562020.1%162179
152VW Multivan240.1%1792000.1%163151
153Hyundai Grandeur240.1%1741030.1%209223
154GAZ 2705230.1%874350.3%10698
155Kia Venga230.1%1413010.2%133166
156Audi Q5230.1%1192510.1%144145
157SsangYong Rexton230.1%1542450.1%146121
158Nissan Murano230.1%2012140.1%160177
159Nissan Teana230.1%1511970.1%164153
160Seat Leon230.1%1961450.1%183138
161Renault Trafic230.1%2181260.1%196201
162Chery Kimo220.1%1373410.2%122117
163Range Rover220.1%1082980.2%134111
164Ford C-Max220.1%1571850.1%169208
165Audi A8220.1%2101390.1%186212
166Skoda Roomster220.1%1821250.1%197174
167GAZ 33023210.1%1532770.2%141123
168Audi A5210.1%1801810.1%171184
169VW Crafter210.1%n/a820.0%229n/a
170Opel Corsa200.1%1162240.1%153197
171Jeep Grand Cherokee200.1%2171430.1%184188
172Mercedes S-Class190.1%2052140.1%159141
173Toyota Venza190.1%1881940.1%16582
174Lexus GX190.1%1641750.1%173131
175Lifan 620190.1%2021400.1%185158
176Lexus GS190.1%175920.1%217 –
177Fiat 500180.1%1661800.1%172216
178Land Rover Discovery180.1%168770.0%231n/a
179Kia Picanto170.1%1522910.2%137172
180Subaru Forester170.1%1272910.2%13889
181Jeep Compass170.1%1651350.1%190211
182Lifan X60170.1%194530.0%n/a –
183Ruta 20/22/25160.1%1172120.1%161100
184MG 550160.1%1631850.1%170n/a
185Renault Scenic150.1%2331230.1%200149
186Chery E5/Elara150.1%1471140.1%205165
187Lancia Y150.1%1831130.1%206 –
188IZH 27175150.1%227940.1%216189
189Nissan Pathfinder140.1%1582280.1%152137
190Mercedes Viano140.1%1981230.1%199n/a
191MG 6140.1%193850.0%225 –
192Mercedes Sprinter140.1%169720.0%238n/a
193SsangYong Actyon130.1%2071580.1%177124
194Mercedes Vito130.1%2111010.1%212n/a
195UAZ 3962130.1%n/a900.1%220n/a
196Chevrolet Malibu130.1%237720.0%237 –
197Volvo S60130.1%230680.0%243n/a
198Saipa Tiba130.1%231280.0%n/a –
199Mercedes C-Class120.1%1861200.1%202207
200Peugeot 4008120.1%248510.0%n/an/a
201Opel Combo120.1%n/a220.0%n/an/a
202Geely LC/Cross120.1% –120.0%n/a –
203Peugeot 207110.1%2243910.2%11283
204Audi Q3110.1%1901510.1%181n/a
205Mercedes GLK-Class110.1%1991010.1%211213
206Great Wall Haval H5110.1%2361000.1%213 –
207FAW CA1031110.1%140880.1%222n/a
208Fiat Sedici110.1%170600.0%250n/a
209Citroen C4 Aircross110.1%200550.0%n/a –
210Kia Mohave100.0%1891660.1%176175
211Renault Koleos100.0%2081530.1%180147
212Mazda CX-7100.0%2091380.1%188152
213Subaru XV100.0%1811200.1%204 –
214BYD F6100.0%222480.0%n/an/a
215Ford Fusion90.0%1605510.3%8723
216Porsche Panamera90.0%1731530.1%179190
217Bogdan 231090.0%1201500.1%182170
218Daihatsu Terios90.0%1971210.1%201171
219Land Rover Freelander90.0%2191080.1%207205
220Audi A390.0%191850.0%224n/a
221Suzuki Splash90.0%n/a750.0%233183
222Volvo XC70/S70/V7090.0%245750.0%234219
223Mercedes G-Class90.0%240230.0%n/an/a
224Volvo S8090.0%n/an/an/an/an/a

Source: Manufacturers, many thanks to Igor for sharing the data!

This Post Has 8 Comments
  1. Незважаючи на кризу та надзвичайно високі ціни на авто (Skoda Octavia 1.6 MPI/75kW Elegance 17000 EUR -) ми ще непогано тримаємося

    translate.google:

    Despite the crisis and unusually high prices for car (Skoda Octavia 1.6 MPI/75kW Elegance 17000 EUR -) we are holding a good

  2. The data supplied by Igor always differs from two other well accepted sources: Autoconsulting (dealership data) and Ukravtoprom (registrations of new vehicles with state authorities) in terms of totals. However, these sources do not normally provide the sales data for each model. Is it possible to find out if the data provided by Igor comes from dealers or some other source and if he is aware of the reason for differences with the two abovementioned sources? I appreciate the level of detail Igor provides on car sales data in Ukraine and would like to make sure he uses reliable sources for his compilation.

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