World Consumer
Lifestyles Databook
2014
13th edition
Euromonitor International Ltd,
60-61 Britton Street, London EC1M 5UX
Summary of contents
Summary of contents
Chapter one — Introduction·································································································································23
Chapter two — World Lifestyle Trends ···············································································································31
Consumer Segmentation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33
People . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42
House and Home . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62
Income. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 74
Consumer Expenditure . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 77
Work . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 90
Learning . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 101
Eating. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 107
Drinking . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 118
Smoking. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 124
Personal Appearance . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 128
Fashion. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 134
Health and Wellness . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 140
Leisure and Recreation. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 150
Consumer Technology . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 155
Transport . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 161
Money . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 167
Chapter three — Country Snapshots ·················································································································175
Algeria. . . . . . .
Argentina . . . . .
Australia. . . . . .
Austria . . . . . .
Azerbaijan . . . . .
Belarus . . . . . .
Belgium . . . . . .
Bolivia . . . . . . .
Brazil . . . . . . .
Bulgaria . . . . . .
Cameroon . . . . .
Canada . . . . . .
Chile . . . . . . . .
China . . . . . . .
Colombia . . . . .
Croatia. . . . . . .
Czech Republic . .
Denmark. . . . . .
Ecuador . . . . . .
Egypt . . . . . . .
Estonia . . . . . .
Finland. . . . . . .
France . . . . . . .
Germany. . . . . .
Greece. . . . . . .
Hong Kong, China .
Hungary . . . . . .
India . . . . . . . .
Indonesia . . . . .
Iran . . . . . . . .
Ireland . . . . . . .
Israel . . . . . . .
Italy . . . . . . . .
Japan . . . . . . .
Jordan. . . . . . .
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© Euromonitor International 2014— www.euromonitor.com
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5
Preliminaries — Summary of contents
Kazakhstan . . . . .
Kenya . . . . . . . .
Kuwait. . . . . . . .
Latvia . . . . . . . .
Lithuania. . . . . . .
Malaysia. . . . . . .
Mexico . . . . . . .
Montenegro . . . . .
Morocco. . . . . . .
Netherlands . . . . .
New Zealand . . . .
Nigeria. . . . . . . .
Norway . . . . . . .
Pakistan . . . . . . .
Peru . . . . . . . . .
Philippines . . . . . .
Poland . . . . . . . .
Portugal . . . . . . .
Romania . . . . . . .
Russia . . . . . . . .
Saudi Arabia. . . . .
Serbia . . . . . . . .
Singapore . . . . . .
Slovakia . . . . . . .
Slovenia . . . . . . .
South Africa . . . . .
South Korea . . . . .
Spain . . . . . . . .
Sweden . . . . . . .
Switzerland . . . . .
Taiwan . . . . . . .
Thailand . . . . . . .
Tunisia. . . . . . . .
Turkey . . . . . . . .
Turkmenistan . . . .
Ukraine . . . . . . .
United Arab Emirates
United Kingdom . . .
USA . . . . . . . . .
Venezuela . . . . . .
Vietnam . . . . . . .
6
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World Consumer Lifestyles Databook 2014, 13th Edition
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443
451
458
465
473
481
488
496
502
509
517
524
531
539
546
553
560
568
576
585
593
600
607
614
622
630
637
645
653
661
669
676
683
690
697
703
711
718
725
733
741
© Euromonitor International Ltd 2014— www.euromonitor.com
Consumer Segmentation
—
Consumer Segmentation
TableTypeID : 20010; ITtableID: 43542
Consumers Algeria Consumers Argentina Consumers Australia Consumers Austria Consumers Azer baijan Consumers Belarus Consumers Belgium Consumers Bolivia Consumers Brazil Consumers Bulgaria Consumers Cameroon Consumers Canada Consumers Chile Consumers China Consumers Colombia Consumers Croatia Consumers Czec h Republic Consumers Denmark Consumers Ecuador Consumers Egypt Consumers Estonia Consumers Finland Consumers France Consumers Germany Consumers Greece Consumers Hong Kong, China Consumers Hungary Consumers India Consumers Indonesi a Consumers Ir an Consumers Ir eland Consumers Israel Consumers Italy Consumers Japan Consumers Jor dan Consumers Kazakhstan Consumers Keny a Consumers Kuwait Consumers Latvia Consumers Lithuania Consumers Malaysia Consumers Mexico Consumers Montenegro Consumers Morocc o Consumers Netherlands Consumers New Zealand Consumers Nigeria Consumers Norway Consumers Pakistan Consumers Peru Consumers Phi lippines Consumers Poland Consumers Portugal Consumers Romania Consumers Russia
Consumers Saudi Ar abia Consumers Serbi a Consumers Singapore C onsumers Slovakia Consumers Slovenia Consumers South Afr ica Consumers South Korea Consumers Spain C onsumers Sweden Consumers Switzerland Consumers Taiwan Consumers Thailand Consumers Tunisia Consumers Turkey Consumers Turkmenistan Consumers Ukraine C onsumers United Arab Emirates Consumers United Kingdom Consumers USA Consumers Venezuela Consumers Vietnam Consumers
Consumer segmentation Algeria Consumer segmentation Argentina Consumer segmentation Australi a Consumer segmentation Austria Consumer segmentation Azerbai jan Consumer segmentation Belarus Consumer segmentation Belgium Consumer segmentation Bolivia Consumer segmentation Brazil Consumer segmentation Bulgaria C onsumer segmentation Cameroon Consumer segmentation Canada Consumer segmentation Chile Consumer segmentation China Consumer segmentation Colombia Consumer segmentation Croatia C onsumer segmentation Czech Republic Consumer segmentation Denmark Consumer segmentation Ecuador Consumer segmentation Egypt Consumer segmentation Estonia Consumer segmentation Finland Consumer segmentation France Consumer segmentation Germany Consumer segmentation Greece Consumer segmentation Hong Kong, Chi na Consumer segmentation Hungary Consumer segmentation India Consumer segmentation Indonesi a Consumer segmentation Iran Consumer segmentation Ir eland Consumer segmentation Israel Consumer segmentation Italy Consumer segmentation
Japan Consumer segmentation Jor dan Consumer segmentation Kazakhstan Consumer segmentation Kenya Consumer segmentation Kuwait Consumer segmentation Latvia Consumer segmentation Lithuani a Consumer segmentation Malaysia Consumer segmentation Mexico Consumer segmentation Montenegro Consumer segmentation Morocc o Consumer segmentation Netherlands Consumer segmentation New Zealand Consumer segmentation Nigeria Consumer segmentation Norway Consumer segmentation Pakistan Consumer segmentation Peru Consumer segmentation Philippines Consumer segmentation Poland Consumer segmentation Portugal Consumer segmentation Romania Consumer segment ation Russia Consumer segmentation Saudi Arabi a Consumer segmentation Serbia Consumer segmentation Singapor e Consumer segmentation Slovakia Consumer segmentation Slovenia Consumer segmentation South Afric a Consumer segmentation South Korea Consumer segmentation Spain Consumer segmentation Sweden Consumer segmentat ion Switzerland Consumer segmentation Taiwan Consumer segmentation
Thailand Consumer segmentation Tunisia Consumer segmentation Turkey Consumer segmentation Turkmenistan Consumer segmentation Ukraine Consumer segmentation United Arab Emirates Consumer segmentation United Kingdom Consumer segmentation USA Consum er segmentation Venezuela Consumer segmentation Vietnam Consumer segmentation
Babies Algeri a Babies Argenti na Babies Australia B abies Austri a Babies Azerbai jan Babies Belarus Babies B elgium Babies Bolivia Babies Br azil Babies Bulgari a Babies Cameroon Babi es Canada Babies Chile Babi es China Babies Colombia Babi es Croatia Babi es Czech Republic Babi es Denmark Babies Ec uador Babies Egy pt Babies Estonia Babies Fi nland Babies Franc e Babies Germany Babi es Greece Babies Hong Kong, C hina Babies Hungary Babies Indi a Babies Indonesi a Babies Ir an Babies Ir eland Babies Isr ael Babies Italy Babi es Japan Babies J ordan Babies Kazakhstan Babi es Kenya Babi es Kuwait Babies Latvia Babies Lithuania Babi es Malaysia Babies Mexico Babi es Montenegro Babies Morocc o Babies Netherlands Babies New Zealand Babies Nigeria B abies Norway Babies Paki stan Babies Peru Babi es Philippi nes Babies Poland Babies Por tugal Babies Romania Babies Russia Babies Saudi Ar abia Babies Ser bia Babies Si ngapore Babies Slovakia Babies Slovenia Babies S outh Afri ca Babies South Korea Babies Spai n Babies Sweden Babies Switzerland Babies
Taiwan Babies Thailand Babies Tunisia Babies Turkey Babi es Turkmenistan Babies Ukraine Babies United Ar ab Emirates Babies United Kingdom Babies USA Babi es Venezuela Babies Vietnam Babies
Infants Algeri a Infants Ar gentina Inf ants Australia Inf ants Austria Inf ants Azerbaijan Inf ants Belarus Infants Belgi um Infants Bolivia Inf ants Brazil Inf ants Bulgaria Inf ants Cameroon Infants Canada I nfants Chile Inf ants China Inf ants Colombia Infants Croati a Infants Czec h Republic Inf ants Denmark Infants Ec uador Inf ants Egypt Inf ants Estonia Infants Fi nland Infants Franc e Infants Germany I nfants Greece I nfants Hong Kong, China I nfants Hungary I nfants Indi a Infants I ndonesia Inf ants Iran I nfants Ir eland Infants Isr ael Infants Italy Infants J apan Infants J ordan Inf ants Kazakhstan Infants Kenya I nfants Kuwait Infants Latvia Inf ants Lithuania Inf ants Malaysia Infants Mexico I nfants Montenegro Infants Moroc co Inf ants Netherlands Infants New Zealand Infants Nigeri a Infants Norway I nfants Pakistan Inf ants Peru Inf ants Philippines I nfants Poland Infants Por tugal Infants Romania Infants Russia Inf ants Saudi Arabi a Infants Ser bia Inf ants Singapore I nfants Slovakia Infants Slovenia Infants South Af ric a Infants South
Korea Inf ants Spain Inf ants Sweden Infants Switzerland Infants Taiwan Infants Thailand Inf ants Tunisia Infants Turkey Infants Turkmenistan Inf ants Ukraine Infants United Ar ab Emirates Inf ants United Kingdom Infants USA Infants Venezuela Inf ants Vietnam Infants
Babies/infants (0-2 years) 1990, 1995, 2005-2013
Table: 2.1
‘000/% growth
1990
Algeria
2,273.5
Argentina
2,092.3
Australia
757.7
Austria
265.5
Azerbaijan
572.2
Belarus
477.8
Belgium
358.9
Bolivia
641.6
Brazil
10,324.2
Bulgaria
336.1
Cameroon
1,337.9
Canada
1,161.9
Chile
887.2
China
70,551.6
Colombia
2,591.3
Croatia
170.7
Czech Republic
385.9
Denmark
176.7
Ecuador
845.3
Egypt
4,273.9
Estonia
73.4
Finland
185.8
France
2,258.9
Germany
2,670.2
Greece
318.0
Hong Kong, China
222.9
Hungary
366.4
India
70,636.0
Indonesia
13,432.4
Iran
5,469.4
Ireland
165.1
Israel
303.5
Italy
1,677.1
Japan
3,785.8
Jordan
358.8
Kazakhstan
1,142.1
Kenya
2,746.8
Kuwait
137.8
Latvia
125.7
Lithuania
171.3
Malaysia
1,465.0
Mexico
6,811.4
Montenegro
29.3
Morocco
2,029.0
Netherlands
561.1
New Zealand
173.0
Nigeria
10,766.0
Norway
170.7
Pakistan
11,979.0
Peru
1,830.0
Philippines
5,822.1
Poland
1,710.5
Portugal
338.5
Romania
1,108.8
Russia
6,888.6
Saudi Arabia
1,602.8
Serbia
273.4
Singapore
147.6
Slovakia
242.5
Slovenia
73.9
South Africa
3,081.1
South Korea
1,926.6
Spain
1,220.9
Sweden
334.8
Switzerland
235.2
Taiwan
951.1
Thailand
3,136.8
Tunisia
632.5
Turkey
3,665.0
Turkmenistan
362.9
Ukraine
2,172.8
United Arab Emirates
132.4
United Kingdom
2,309.1
USA
11,497.1
Venezuela
1,666.3
Vietnam
5,603.4
1995
2,173.9
2,106.3
776.5
282.1
511.9
348.9
361.7
715.4
10,022.0
244.3
1,472.0
1,164.5
885.4
48,284.4
2,707.0
148.6
345.9
205.7
852.2
3,869.5
45.5
196.2
2,117.4
2,394.8
314.0
227.6
349.4
72,541.6
13,407.5
4,274.0
149.0
344.8
1,648.1
3,581.9
392.3
803.4
2,771.6
93.3
80.5
140.8
1,613.1
7,001.0
22.6
1,972.2
588.6
175.0
11,714.7
180.5
12,050.5
1,828.2
6,065.5
1,452.3
328.8
733.9
4,446.3
1,626.8
240.2
149.2
211.6
58.8
3,029.2
2,160.6
1,142.9
353.1
251.7
941.8
3,006.2
588.2
3,766.2
352.6
1,655.6
130.2
2,265.7
11,519.8
1,626.8
5,526.0
2005
2,018.6
1,980.3
767.1
238.1
346.0
261.7
342.3
759.5
10,287.5
192.3
1,754.8
1,023.6
745.7
39,574.8
2,685.9
120.4
284.7
194.4
883.5
4,415.7
39.2
170.2
2,234.8
2,139.2
313.5
121.9
283.6
73,698.2
13,690.6
3,440.3
180.9
431.8
1,645.3
3,276.3
407.0
774.7
3,756.8
112.8
59.5
86.5
1,429.4
6,962.3
23.7
1,779.0
597.9
171.1
14,869.1
171.1
12,012.6
1,790.5
6,943.4
1,037.1
333.5
626.4
4,318.4
1,554.9
234.8
122.1
154.8
53.1
3,183.5
1,424.2
1,334.6
299.0
217.7
680.7
2,730.5
497.6
3,515.0
323.9
1,213.8
154.1
2,074.9
11,944.1
1,731.5
4,339.5
2006
2,101.9
1,981.8
791.4
238.0
376.9
264.3
350.2
763.8
9,987.7
196.0
1,803.2
1,044.1
749.5
39,986.0
2,699.1
122.8
294.2
194.7
880.1
4,528.5
40.3
172.5
2,242.5
2,104.6
317.8
120.2
285.4
74,037.3
13,744.4
3,530.6
182.3
435.3
1,655.2
3,235.4
415.6
823.6
3,859.0
121.5
60.8
84.9
1,422.7
7,046.7
23.1
1,789.1
582.0
174.1
15,222.4
172.6
12,105.8
1,787.0
6,940.1
1,050.2
328.7
637.1
4,385.8
1,580.3
228.4
120.7
158.3
53.7
3,267.5
1,368.2
1,383.2
304.5
217.7
641.1
2,714.3
513.0
3,514.6
332.7
1,249.2
154.3
2,128.5
12,002.0
1,741.1
4,540.7
2007
2,131.1
1,998.4
813.1
238.0
408.0
271.5
359.9
759.5
9,627.4
202.0
1,832.8
1,063.5
747.8
39,683.4
2,710.7
124.6
306.2
195.1
879.8
4,648.6
42.0
174.9
2,275.8
2,070.0
325.5
123.7
291.1
74,438.5
13,572.8
3,617.1
187.4
440.8
1,671.6
3,229.9
435.7
873.2
3,942.0
139.2
61.8
83.9
1,422.3
6,992.2
22.9
1,804.6
565.1
178.3
15,532.8
174.7
12,418.7
1,780.1
6,862.2
1,071.1
322.8
644.5
4,397.0
1,664.3
220.3
121.5
160.4
55.6
3,329.1
1,346.8
1,425.3
312.3
219.6
619.4
2,669.7
524.3
3,544.8
328.8
1,300.9
164.1
2,184.0
12,123.7
1,748.8
4,581.2
2008
2,112.3
2,025.7
841.6
235.0
422.2
286.4
365.0
749.0
9,244.1
206.3
1,846.8
1,095.6
741.3
40,086.0
2,719.5
126.2
322.9
195.1
881.7
4,813.6
43.7
176.1
2,291.0
2,050.8
331.8
132.2
293.5
74,861.7
13,223.2
3,686.1
199.9
451.2
1,681.7
3,272.4
462.8
915.1
4,007.5
162.7
64.9
84.1
1,445.0
6,824.5
23.0
1,822.6
552.6
184.6
15,817.2
176.6
12,836.5
1,771.0
6,734.0
1,106.8
316.4
643.9
4,510.5
1,784.2
209.9
123.2
161.1
57.6
3,362.6
1,384.6
1,464.3
319.1
221.5
606.8
2,601.6
531.4
3,453.9
314.7
1,345.1
168.1
2,250.6
12,237.6
1,754.1
4,483.0
2009
2,111.8
2,049.1
865.0
234.7
436.5
302.1
375.6
742.3
8,907.9
211.4
1,869.1
1,125.4
738.6
40,423.5
2,727.1
127.5
339.8
196.3
882.1
5,054.1
45.2
178.2
2,308.6
2,048.4
342.3
135.4
293.9
75,279.2
12,950.4
3,780.8
211.5
461.9
1,703.6
3,268.0
482.2
988.1
4,078.8
185.0
66.0
86.5
1,486.7
6,705.0
22.9
1,839.5
551.0
188.7
16,155.7
180.4
13,077.6
1,765.6
6,648.2
1,167.8
311.5
645.7
4,731.8
1,866.4
206.8
125.2
164.1
61.5
3,390.2
1,400.7
1,511.8
327.4
226.1
599.7
2,535.8
541.3
3,603.1
306.6
1,429.2
188.7
2,309.8
12,185.4
1,759.8
4,446.1
2010
2,102.9
2,070.4
875.1
232.6
445.0
317.3
380.8
737.5
8,644.3
217.4
1,890.2
1,147.9
736.6
40,232.4
2,730.8
130.6
352.5
194.4
882.2
5,380.4
46.0
179.9
2,319.1
2,042.5
348.1
143.5
291.2
75,630.8
12,691.9
3,841.0
219.3
475.6
1,706.6
3,172.5
492.9
1,044.2
4,143.8
203.7
65.4
89.8
1,494.8
6,580.7
22.9
1,852.0
551.9
190.8
16,513.2
183.8
13,360.1
1,762.2
6,594.5
1,229.2
305.5
649.1
4,947.8
1,921.4
206.2
124.2
171.3
64.4
3,392.7
1,388.2
1,514.6
333.2
231.2
587.2
2,473.5
550.1
3,707.2
299.5
1,481.5
176.6
2,347.4
11,990.5
1,764.1
4,394.1
2011
2,090.9
2,085.4
879.3
235.1
470.0
323.0
387.5
735.9
8,471.3
216.3
1,909.7
1,159.9
735.9
39,828.6
2,729.8
131.8
355.5
193.6
881.3
5,679.2
45.9
182.1
2,352.7
2,039.0
345.7
150.1
287.8
75,844.6
12,473.0
3,858.4
217.2
480.9
1,700.7
3,158.8
493.5
1,102.1
4,199.4
216.2
60.8
92.0
1,482.3
6,468.0
22.8
1,856.5
555.0
190.5
16,874.9
186.9
13,737.9
1,759.5
6,585.6
1,278.0
304.1
647.0
5,012.1
1,940.2
209.0
120.2
177.1
66.7
3,373.7
1,381.3
1,499.8
341.1
236.2
551.3
2,419.4
557.7
3,666.2
295.2
1,507.3
176.5
2,365.5
11,811.6
1,766.6
4,343.5
2012
2,075.5
2,081.9
897.1
235.8
500.4
325.6
391.8
741.8
8,532.5
208.1
1,927.3
1,172.9
734.6
39,735.9
2,717.0
131.5
344.2
187.3
878.9
5,904.9
44.7
182.7
2,378.3
2,016.8
337.3
170.7
282.7
75,720.9
12,399.5
3,797.2
219.7
482.8
1,671.9
3,125.8
482.8
1,120.8
4,248.9
220.7
55.5
91.0
1,481.6
6,400.1
22.6
1,840.1
550.1
190.7
17,242.2
186.7
14,035.4
1,758.2
6,687.4
1,236.1
300.4
620.8
5,094.4
1,912.3
211.0
120.8
179.9
67.2
3,309.4
1,402.3
1,453.3
343.6
239.7
551.7
2,382.3
561.1
3,524.0
297.7
1,500.0
183.8
2,393.9
11,764.8
1,767.2
4,289.0
2013
2,056.3
2,062.8
922.1
237.2
531.5
326.4
397.0
753.8
8,777.6
199.6
1,943.7
1,188.0
732.6
41,210.8
2,694.2
130.7
333.6
182.4
875.2
6,011.4
43.0
182.8
2,407.2
2,010.9
328.5
194.7
280.8
75,319.7
12,442.2
3,670.6
218.5
481.3
1,644.4
3,081.8
464.0
1,132.1
4,295.5
217.8
52.5
88.5
1,518.0
6,368.2
22.3
1,807.1
544.8
189.8
17,621.2
187.4
14,266.4
1,758.5
6,876.9
1,193.7
300.3
599.8
5,294.6
1,851.4
211.5
127.3
178.8
67.8
3,210.9
1,426.5
1,408.5
346.1
242.3
556.8
2,358.3
560.2
3,392.2
305.4
1,508.9
186.7
2,420.1
11,734.7
1,765.8
4,227.9
% growth
1995-2013
-5.41
-2.06
18.76
-15.92
3.82
-6.45
9.76
5.37
-12.42
-18.31
32.04
2.02
-17.26
-14.65
-0.47
-12.07
-3.56
-11.33
2.70
55.36
-5.52
-6.84
13.69
-16.03
4.60
-14.48
-19.65
3.83
-7.20
-14.12
46.63
39.58
-0.22
-13.96
18.27
40.92
54.98
133.56
-34.71
-37.14
-5.89
-9.04
-1.02
-8.37
-7.43
8.45
50.42
3.81
18.39
-3.81
13.38
-17.80
-8.67
-18.28
19.08
13.81
-11.96
-14.69
-15.49
15.32
6.00
-33.98
23.24
-1.99
-3.74
-40.88
-21.55
-4.76
-9.93
-13.38
-8.86
43.41
6.81
1.87
8.55
-23.49
Source: Euromonitor International from national statistics
© Euromonitor International 2014— www.euromonitor.com
33
2
Chapter two — World Lifestyle Trends
TableTypeID : 21160; ITtableID: 43657
Health Algeria Health Argentina Health Australia Health Austria Health Azerbaijan Health Belarus Health Belgium Health Bolivia Health Brazil Health Bulgaria Health Cameroon Health Canada Health Chile Health China Health Colombia Health Croatia Health Czech Republic Health Denmark Health Ecuador Health Egypt Health Estonia Health Finland Health France Health Germany Health Greece Health Hong Kong, China Health Hungary Health India Health Indonesia Health Iran Health Ireland Health Israel Health Italy Health Japan Health Jordan Health Kazakhstan Health Kenya Health Kuwait Health Latvia Health Lithuania Health Malaysia Health Mexico Health Montenegro Health Morocco Health Netherlands Health New Zealand Health Nigeria Health Norway Health Pakistan Health Peru Health Philippines Health Poland Health Portugal Health Romania Health Russia Health Saudi Arabia Health Serbia Health Singapore Health Slovakia Health Slovenia Health South Afric a Health South Korea Health Spain Health Sweden Health Switzerland Health
Taiwan Health Thailand Health Tunisia Health Turkey Health Turkmenistan Health Ukraine Health United Arab Emirates Health United Kingdom Health USA Health Venezuela Health Vietnam Health
Wellness Algeria Wellness Argentina Wellness Australia Wellness Austria Wellness Azerbaijan Wellness Belarus Wellness Belgium Wellness Bolivia Wellness Brazil Wellness Bulgaria Wellness Cameroon Wellness Canada Wellness Chile Wellness China Wellness Colombia Wellness Croatia Wellness Czech Republic W ellness Denmark Wellness Ecuador W ellness Egypt Wellness Estonia Wellness Finland Wellness France W ellness Germany Wellness Greece Wellness Hong Kong, China Wellness Hungary Wellness India Wellness Indonesia Wellness Iran Wellness Ireland Wellness Israel Wellness Italy Wellness Japan Wellness Jordan W ellness Kazakhstan Wellness Kenya Wellness Kuwait Wellness Latvia Wellness Lithuania Wellness Malaysia Wellness Mexico Wellness Montenegro Wellness Morocco Wellness Netherlands Wellness New Zealand Wellness Nigeria Wellness Norway Wellness Pakistan Wellness Peru Wellness Philippines W ellness Poland Wellness Portugal Wellness Romania Wellness Russia Wellness Saudi Arabia W ellness Serbia W ellness Singapore W ellness
Slovakia Wellness Slovenia Wellness South Africa W ellness South Korea Wellness Spain Wellness Sweden Wellness Switzerland Wellness Taiwan Wellness Thailand Wellness Tunisia Wellness Turkey Wellness Turkmenistan Wellness Ukraine Wellness United Arab Emirates Wellness United Kingdom Wellness USA Wellness Venezuela Wellness Vietnam Wellness
Obese Algeria Obese Argentina Obese Australia Obese Austria Obese Azerbaijan Obese Belarus Obese Belgium Obese Bolivia Obese Brazil Obese Bulgaria Obese Cameroon Obese Canada Obese Chile Obese China Obese Colombia Obese Croatia Obese Czech Republic Obese Denmark Obese Ecuador Obese Egypt Obese Estonia Obese Finland Obese France Obese Germany Obese Greece Obese Hong Kong, China Obese Hungary Obese India Obese Indonesia Obese Ir an Obese Ireland Obese Israel Obese Italy Obese Japan Obese Jordan Obese Kazakhstan Obese Kenya Obese Kuwait Obese Latvia Obese Lithuania Obese Malaysia Obese Mexico Obese Montenegro Obese Morocco Obese Netherlands Obese New Zealand Obese Nigeria Obese Norway Obese Pakistan Obese Peru Obese Philippines Obese Poland Obese Portugal Obese Romania Obese Russia Obese Saudi Arabia Obese Serbia Obese Singapore Obese Slovakia Obese Slovenia Obese South Africa Obese South Korea Obese Spain Obese Sweden Obese Switzerland Obese Taiwan Obese Thailand Obese Tunisia Obese Turkey Obese Turkmenistan
Obese Ukraine Obese United Arab Emirates Obese United Kingdom Obese USA Obese Venezuela Obese Vietnam Obese
Obesity Algeria Obesity Argentina Obesity Australia Obesity Austria Obesity Azerbaijan Obesity Belarus Obesity Belgium Obesity Bolivia Obesity Brazil Obesity Bulgar ia Obesity Cameroon Obesity Canada Obesity Chile Obesity China Obesity Colombia Obesity Cr oatia Obesity Czech Republic Obesity Denmark Obesity Ecuador Obesity Egypt Obesity Estonia Obesity Finland Obesity France Obesity Germany Obesity Greec e Obesity Hong Kong, China Obesity Hungary Obesity India Obesity Indonesia Obesity Iran Obesity Ireland Obesity Isr ael Obesity Italy Obesity Japan Obesity J ordan Obesity Kazakhstan Obesity Keny a Obesity Kuwait Obesity Latvia Obesity Lithuania Obesity Malaysia Obesity Mexico Obesity Montenegro Obesity Moroc co Obesity Netherlands Obesity New Zealand Obesity Nigeria Obesity Norway Obesity Pakistan Obesity Peru Obesity Phi lippines Obesity Poland Obesity Portugal Obesity Romania Obesity Russia Obesity Saudi Ar abia Obesity Serbia Obesity Singapore Obesity Slovakia Obesity Slovenia Obesity South Afr ica Obesity South
Korea Obesity Spain Obesity Sweden Obesity Switzerland Obesity Taiwan Obesity Thailand Obesity Tunisia Obesity Turkey Obesity Turkmenistan Obesity Ukraine Obesity United Arab Emirates Obesity United Kingdom Obesity USA Obesity Venezuela Obesity Vietnam Obesity
Obese population (BMI 30kg/sq m or more) 1990, 1995, 2005-2013
Table: 2.116
% of population aged 15+/% growth
Algeria
Argentina
Australia
Austria
Azerbaijan
Belarus
Belgium
Bolivia
Brazil
Bulgaria
Cameroon
Canada
Chile
China
Colombia
Croatia
Czech Republic
Denmark
Ecuador
Egypt
Estonia
Finland
France
Germany
Greece
Hong Kong, China
Hungary
India
Indonesia
Iran
Ireland
Israel
Italy
Japan
Jordan
Kazakhstan
Kenya
Kuwait
Latvia
Lithuania
Malaysia
Mexico
Montenegro
Morocco
Netherlands
New Zealand
Nigeria
Norway
Pakistan
Peru
Philippines
Poland
Portugal
Romania
Russia
Saudi Arabia
Serbia
Singapore
Slovakia
Slovenia
South Africa
South Korea
Spain
Sweden
Switzerland
Taiwan
Thailand
Tunisia
Turkey
Turkmenistan
Ukraine
United Arab Emirates
United Kingdom
USA
Venezuela
Vietnam
1990
5.0
12.5
12.6
7.6
11.4
20.0
9.0
6.8
5.1
11.8
3.0
13.6
11.5
1.6
4.8
14.4
11.9
7.3
7.6
20.5
10.8
8.4
7.2
16.2
9.2
0.9
15.7
0.7
1.3
10.3
8.8
11.3
6.7
2.1
18.9
10.3
2.5
31.6
11.0
12.3
9.5
14.3
1995
5.9
14.3
14.8
8.1
11.6
21.0
9.7
8.0
6.0
12.7
3.6
14.4
13.6
1.9
5.5
15.4
12.9
8.2
8.5
22.8
11.8
9.6
7.7
17.3
10.4
1.0
16.7
0.9
1.4
12.7
9.5
12.3
7.2
2.5
19.1
10.3
2.5
32.6
12.0
13.3
10.2
16.4
2005
9.2
20.6
21.7
10.5
13.1
24.3
12.3
15.0
11.4
16.0
7.1
17.1
22.7
3.7
10.3
18.7
15.9
10.6
11.7
29.1
15.0
12.9
9.2
20.6
14.6
2.6
19.9
1.6
2.1
19.3
11.8
15.6
9.0
3.1
19.4
9.9
2.8
36.4
15.2
16.6
12.9
25.0
2006
9.7
21.3
22.5
10.8
13.4
24.7
12.6
16.0
12.3
16.3
7.6
17.4
23.9
4.1
11.2
19.0
16.2
10.9
12.0
29.7
15.4
13.3
9.4
21.0
15.1
2.9
20.3
1.7
2.2
19.9
12.0
16.0
9.2
3.2
19.4
9.9
2.8
36.9
15.6
17.0
13.2
26.2
2007
10.1
22.0
23.4
11.1
13.7
25.1
12.9
17.1
13.2
16.7
8.2
17.8
25.1
4.5
12.0
19.4
16.5
11.2
12.4
30.2
15.8
13.7
9.6
21.4
15.5
3.3
20.7
1.8
2.4
20.4
12.3
16.4
9.5
3.2
19.5
9.8
2.8
37.3
15.9
17.4
13.5
27.3
2008
10.5
22.7
24.3
11.4
14.0
25.5
13.2
18.2
14.2
17.1
8.7
18.2
26.4
5.0
13.0
19.7
16.9
11.5
12.8
30.7
16.2
14.0
9.8
21.8
16.0
3.8
21.1
1.9
2.5
20.9
12.6
16.7
9.7
3.2
19.6
9.7
2.9
37.8
16.3
17.7
13.8
28.5
2009
10.9
23.3
25.1
11.8
14.3
25.8
13.5
19.3
15.2
17.4
9.3
18.6
27.6
5.5
14.0
20.1
17.2
11.8
13.1
31.2
16.5
14.4
10.0
22.2
16.5
4.2
21.4
2.0
2.6
21.3
12.9
17.1
10.0
3.3
19.7
9.7
2.9
38.3
16.7
18.1
14.2
29.7
2010
11.4
23.9
26.0
12.1
14.7
26.2
13.8
20.4
16.2
17.8
9.9
19.0
28.9
6.1
15.0
20.4
17.5
12.0
13.5
31.6
16.9
14.8
10.2
22.6
16.9
4.8
21.8
2.2
2.8
21.7
13.2
17.4
10.2
3.3
19.8
9.6
2.9
38.7
17.0
18.5
14.5
30.9
2011
11.8
24.5
26.9
12.4
15.1
26.6
14.1
21.6
17.2
18.2
10.5
19.4
30.1
6.6
16.0
20.8
17.8
12.3
13.9
31.9
17.3
15.1
10.4
22.9
17.4
5.3
22.1
2.3
3.0
22.1
13.4
17.8
10.5
3.3
19.9
9.6
3.0
39.1
17.4
18.8
14.8
32.1
2012
12.2
25.1
27.7
12.7
15.5
26.9
14.4
22.7
18.3
18.5
11.1
19.7
31.3
7.2
17.1
21.1
18.1
12.6
14.2
32.2
17.6
15.5
10.7
23.3
17.8
5.9
22.5
2.5
3.1
22.4
13.7
18.1
10.8
3.3
20.1
9.6
3.0
39.5
17.8
19.2
15.2
33.2
2013
12.6
25.6
28.6
13.1
15.9
27.3
14.6
23.8
19.3
18.9
11.7
20.1
32.5
7.9
18.2
21.4
18.4
12.8
14.6
32.5
18.0
15.8
10.9
23.7
18.2
6.5
22.8
2.6
3.3
22.7
14.0
18.4
11.0
3.4
20.2
9.5
3.0
39.9
18.1
19.5
15.5
34.4
% growth
1995-2013
113.66
79.58
93.48
60.52
37.23
30.03
50.87
195.71
222.36
48.09
225.98
39.82
138.53
321.67
227.92
38.73
43.24
57.20
71.45
42.92
52.66
64.50
41.64
36.95
75.10
551.36
37.03
203.53
139.81
79.62
46.99
49.20
53.59
36.02
5.70
-7.86
18.34
22.61
51.19
46.52
51.22
109.63
8.4
5.9
12.2
2.1
6.5
1.1
6.4
2.4
8.8
7.4
9.0
19.1
23.2
9.2
7.2
14.0
2.5
7.0
1.2
7.6
2.9
9.8
9.3
9.6
20.0
24.1
11.5
10.3
22.8
4.4
8.8
2.3
13.6
4.5
13.0
13.6
11.5
23.3
26.6
11.8
10.6
24.0
4.7
9.0
2.5
14.6
4.6
13.4
14.0
11.7
23.7
26.8
12.0
10.9
25.3
5.0
9.3
2.7
15.5
4.8
13.8
14.4
11.9
24.1
27.1
12.3
11.2
26.6
5.3
9.6
2.9
16.5
5.0
14.1
14.8
12.2
24.4
27.5
12.6
11.5
27.9
5.6
9.9
3.2
17.6
5.2
14.5
15.2
12.4
24.8
27.8
12.8
11.8
29.3
6.0
10.2
3.4
18.6
5.4
14.9
15.6
12.6
25.2
28.1
13.1
12.0
30.6
6.3
10.5
3.6
19.7
5.6
15.2
15.9
12.8
25.6
28.4
13.4
12.3
31.9
6.7
10.8
3.9
20.7
5.8
15.6
16.3
13.0
25.9
28.6
13.6
12.6
33.2
7.0
11.1
4.1
21.8
6.0
15.9
16.6
13.2
26.3
28.9
48.88
74.40
136.78
181.33
59.19
228.41
187.62
102.80
62.84
79.05
38.06
31.34
19.85
5.8
12.1
14.3
15.7
0.2
10.8
5.9
5.6
6.1
12.9
15.5
16.6
0.1
11.5
6.9
6.4
6.8
16.0
19.2
19.0
2.3
14.1
9.9
9.3
6.9
16.3
19.7
19.3
2.9
14.4
10.3
9.7
7.0
16.7
20.1
19.6
3.6
14.7
10.6
10.1
7.1
17.1
20.5
19.8
4.4
15.0
11.0
10.5
7.2
17.5
20.9
20.1
5.3
15.3
11.3
10.8
7.4
17.9
21.2
20.3
6.2
15.6
11.6
11.2
7.5
18.3
21.6
20.6
7.2
15.9
11.9
11.6
7.6
18.6
22.0
20.8
8.2
16.3
12.3
11.9
7.8
19.0
22.4
21.0
9.2
16.6
12.6
12.3
28.49
47.04
44.10
26.98
9,473.73
43.88
82.31
93.12
4.3
18.2
12.8
9.7
10.6
28.2
12.9
15.9
12.8
0.0
4.9
18.0
13.6
9.9
11.2
29.2
16.3
18.8
15.1
0.0
7.2
18.8
15.8
11.3
13.3
31.9
23.0
30.0
24.7
0.2
7.5
19.0
16.1
11.6
13.5
32.2
23.5
31.3
26.0
0.2
7.8
19.3
16.3
11.9
13.8
32.5
24.0
32.7
27.2
0.3
8.1
19.5
16.5
12.2
14.0
32.8
24.5
34.1
28.5
0.3
8.4
19.7
16.7
12.6
14.2
33.1
25.0
35.5
29.8
0.4
8.7
20.0
16.9
12.9
14.5
33.3
25.4
36.8
31.1
0.4
9.0
20.2
17.1
13.3
14.7
33.6
25.8
38.2
32.4
0.5
9.4
20.5
17.3
13.7
14.9
33.9
26.2
39.5
33.7
0.5
9.7
20.7
17.5
14.2
15.1
34.1
26.6
40.7
35.0
0.6
98.50
15.14
28.70
43.57
34.61
17.05
62.78
116.69
131.03
1,138.68
Source: Euromonitor International from national statistics
148
World Consumer Lifestyles Databook 2014, 13th Edition
© Euromonitor International Ltd 2014— www.euromonitor.com
—Colombia: Consumer Segmentation 1990, 1995, 2005-2013
Colombia
TableTypeI D: 30010; ITtableID: 43697; Co untryCode: CO
Colombia Consumers Colombia Consumer segmentation Colombia Babies Colombia Infants Colombia Kids Colombia Tweenagers Colombia Teenagers Colombia Students Colombia Generation X Colombia Generation Y Colombia Baby boomers Colombia Pensioners Colombia
Colombia: Consumer Segmentation 1990, 1995, 2005-2013
Consumer Segmentation
Babies/Infants (aged 0-2) (‘000)
Kids (aged 3-8) (‘000)
Tweens (aged 9-12) (‘000)
Teens (aged 13-17) (‘000)
Students (‘000)
Generation Y (‘000)
Generation X (‘000)
Baby Boomers (‘000)
Pensioners (‘000)
Table: 3.240
1990
1995
2005
2006
2007
2008
2009
2010
2011
2012
% Change
2013 1995-2013
2,591
4,955
3,146
3,580
3,450
8,345
11,369
8,583
2,509
2,707
5,164
3,281
3,910
3,502
8,280
11,077
8,337
2,857
2,686
5,314
3,547
4,289
4,040
8,124
10,608
7,943
3,988
2,699
5,313
3,544
4,330
4,076
8,097
10,569
7,896
4,164
2,711
5,317
3,538
4,364
4,112
8,069
10,531
7,847
4,351
2,720
5,326
3,534
4,389
4,151
8,041
10,495
7,798
4,549
2,727
5,333
3,531
4,403
4,192
8,012
10,459
7,747
4,757
2,731
5,342
3,530
4,407
4,237
7,983
10,425
7,693
4,972
2,730
5,355
3,530
4,402
4,279
7,953
10,389
7,632
5,203
2,717
5,374
3,531
4,397
4,313
7,924
10,355
7,569
5,441
2,694
5,393
3,534
4,395
4,337
7,896
10,322
7,505
5,689
-0.47
4.43
7.70
12.40
23.86
-4.64
-6.81
-9.98
99.16
Source: Euromonitor International from national statistics
TableTypeI D: 30020; ITtableID: 43773; Co untryCode: CO
Colombia People Colombia Children Colombia Adults Colombia Pensioners Colombia Ethnic groups Colombia Marital status Colombia Urban Colombia Rural Colombia Population Colombia Population density Colombia Marriage Colombia Divorce Colombia
Colombia: People 1990, 1995, 2005-2013
1990
1995
2005
Population by age January 1st
Population by age January 1st (‘000)
33,307
36,574
43,184
0-14 yrs (‘000)
12,183
12,743
13,294
15-64 yrs (‘000)
19,704
22,195
27,704
65+ yrs (‘000)
1,420
1,636
2,186
Male population by age January 1st
Male population by age January
1st (‘000)
16,523
18,078
21,276
0-14 yrs (‘000)
6,203
6,492
6,782
15-64 yrs (‘000)
9,688
10,864
13,540
65+ yrs (‘000)
632
723
954
Female population by age January 1st
Female population by age January
1st (‘000)
16,784
18,495
21,908
0-14 yrs (‘000)
5,980
6,251
6,512
14-65 yrs (‘000)
10,016
11,332
14,163
65+ yrs (‘000)
788
913
1,232
Ethnic groups
Afrocolombian (‘000)
257
1,015
4,490
Indian (‘000)
424
678
1,450
Other (‘000)
32,626
34,881
37,244
Marital Status
Married (‘000)
10,291
11,920
13,451
Divorced (‘000)
895
1,144
1,457
Widowed (‘000)
904
1,049
1,224
Single (‘000)
20,993
22,230
26,424
Marriage and divorce rates, and age at first marriage
Marriage Rates (per ‘000 population)
4
4
3
First marriage: average age of
men (Years)
26
26
27
First marriage: average age of
women (Years)
22
22
23
Urban and rural population, and population density
Urban Population (‘000)
22,741
25,790
31,775
Rural Population (‘000)
10,566
10,783
11,409
Population Density (persons per
sq km)
30
33
39
Population of Major Cities
Barranquilla (‘000)
960
1,013
1,142
Bogota (‘000)
4,603
5,192
6,825
Bucaramanga (‘000)
386
427
509
Cali (‘000)
1,534
1,714
2,083
Cartagena (‘000)
573
649
842
Cucuta (‘000)
430
478
568
Ibague (‘000)
315
359
469
Medellin (‘000)
1,490
1,621
2,176
Soacha (‘000)
176
253
397
Soledad (‘000)
205
264
461
Table: 3.241
2006
2007
2008
2009
2010
2011
2012
% Change
2013 1995-2013
43,841
13,317
28,263
2,261
44,498
13,335
28,827
2,336
45,153
13,348
29,388
2,417
45,803
13,357
29,939
2,506
46,445
13,367
30,474
2,603
47,079
13,376
30,983
2,720
47,704
13,382
31,479
2,844
48,321
13,382
31,961
2,979
32.12
5.01
44.00
82.11
21,594
6,794
13,815
986
21,912
6,803
14,091
1,018
22,229
6,810
14,367
1,052
22,543
6,815
14,638
1,090
22,853
6,821
14,901
1,132
23,159
6,826
15,151
1,183
23,461
6,829
15,395
1,238
23,759
6,829
15,632
1,297
31.42
5.19
43.90
79.47
22,247
6,523
14,449
1,275
22,586
6,532
14,736
1,318
22,924
6,538
15,022
1,365
23,260
6,542
15,302
1,416
23,591
6,547
15,573
1,472
23,919
6,551
15,832
1,537
24,243
6,553
16,084
1,606
24,563
6,552
16,329
1,682
32.80
4.83
44.10
84.21
4,871
1,541
37,429
5,254
1,633
37,612
5,635
1,726
37,793
6,009
1,819
37,975
6,380
1,913
38,152
6,746
2,007
38,325
7,108
2,102
38,494
7,465
2,197
38,659
635.68
224.04
10.83
13,611
1,490
1,241
26,840
13,764
1,522
1,257
27,264
13,910
1,553
1,273
27,693
14,051
1,583
1,288
28,124
14,187
1,613
1,302
28,553
14,320
1,642
1,316
28,979
14,451
1,671
1,330
29,400
14,580
1,700
1,343
29,815
22.32
48.64
28.04
34.12
3
3
3
3
3
3
3
3
-15.39
27
27
27
27
28
28
28
28
7.02
23
24
24
24
24
24
24
24
9.93
32,388
11,454
33,003
11,496
33,618
11,535
34,232
11,571
34,843
11,602
35,450
11,629
36,053
11,652
36,650
11,671
42.11
8.23
40
40
41
41
42
42
43
44
32.12
1,152
6,957
513
2,113
857
575
476
2,217
409
479
1,161
7,076
516
2,140
870
581
483
2,251
420
495
1,170
7,183
518
2,166
882
587
489
2,278
431
510
1,177
7,280
519
2,190
893
593
494
2,301
441
524
1,184
7,368
519
2,212
902
598
498
2,319
451
538
1,190
7,452
518
2,233
911
604
502
2,336
461
550
1,196
7,539
518
2,255
921
609
506
2,354
471
564
1,202
7,624
519
2,276
930
614
510
2,372
481
576
18.72
46.83
21.48
32.82
43.26
28.31
42.02
46.34
90.09
117.95
Source: Euromonitor International from national statistics
© Euromonitor International 2014— www.euromonitor.com
283
3
—Hungary: House and Home 1990, 1995, 2005-2013
TableTypeI D: 30030; ITtableID: 43863; Co untryCode: HU
Hungary Households Hungary homes Hungary Household size Hungary Home owner Hungary Mortgages Hungary Utilities Hungary Durables Hungary Television Hungary Computer Hungary Telephone Hungary Electricity Gas Hungary Fuel Hungary
Hungary: House and Home 1990, 1995, 2005-2013
1990
1995
Households by annual disposable income band
Over US$1,000 (‘000)
3,847.4
3,855.5
Over US$5,000 (‘000)
1,486.9
2,886.2
Over US$15,000 (‘000)
61.6
257.5
Over US$35,000 (‘000)
25.9
50.3
Over US$55,000 (‘000)
25.0
44.7
Households by number of persons
1 person (‘000)
970.9
972.4
2 persons (‘000)
1,123.7
1,108.5
3 persons (‘000)
791.3
779.5
4 persons (‘000)
681.3
671.6
5 persons (‘000)
222.7
227.2
6+ persons (‘000)
99.6
105.5
Households by type
Single Person (‘000)
970.9
972.4
Couple without children (‘000)
913.0
926.2
Couple with children (‘000)
1,369.5
1,312.4
Single parent family (‘000)
410.7
418.1
Other (‘000)
225.4
235.6
Households by tenure
Home owner (‘000)
2,864.3
3,308.2
Home owner, with mortgage (‘000)
84.2
8.2
Home owner, without mortgage (‘000)
2,780.1
3,300.0
Rented (‘000)
994.9
514.0
Other (‘000)
30.3
42.5
Households by type of dewlling
Detached House (‘000)
2,008.7
1,979.2
Semi-detached and terraced house
(‘000)
352.5
339.5
Apartment (‘000)
1,510.1
1,528.1
Other (‘000)
18.3
17.9
Household running costs
Household running costs (HUF million) 39,586.2
162,938.3
Electricity (HUF million)
11,826.8
51,078.6
Gas (HUF million)
8,255.4
48,389.4
Solid Fuels (HUF million)
13,484.1
32,499.4
Liquid Fuels (HUF million)
1,310.6
2,901.7
Household durable ownership
Colour TV Set (% of households)
49.7
68.0
Dishwasher (% of households)
0.1
0.3
Freezer (% of households)
46.5
55.0
Microwave Oven (% of households)
6.8
20.0
Personal Computer (% of households)
2.0
5.9
Refrigerator (% of households)
98.2
89.8
Telephone (% of households)
16.3
24.0
Tumble Drier (% of households)
0.0
Vacuum Cleaner (% of households)
86.0
89.0
Washing Machine (% of households)
32.5
37.0
Pet population
Pet population (‘000s of animals)
Fish (‘000s of animals)
Cat (‘000s of animals)
Dog (‘000s of animals)
Small Mammal (‘000s of animals)
Bird (‘000s of animals)
Reptile (‘000s of animals)
Table: 3.446
% Change
2013 1995-2013
2005
2006
2007
2008
2009
2010
2011
2012
4,001.8
3,915.2
1,797.1
238.3
117.6
4,032.0
3,941.7
1,784.0
238.6
118.5
4,059.3
4,009.1
2,374.6
351.5
146.5
4,076.2
4,040.6
2,705.6
443.6
166.7
4,090.9
4,023.3
2,121.4
300.0
134.3
4,101.6
4,030.8
2,088.0
294.7
132.7
4,105.9
4,055.9
2,430.4
370.0
151.0
4,112.1
4,038.5
2,065.7
293.7
132.5
4,118.5
4,050.9
2,158.1
312.6
137.1
6.82
40.36
738.00
569.42
250.86
1,162.7
1,185.6
750.0
590.2
212.0
101.4
1,201.5
1,206.1
743.1
575.8
207.0
98.7
1,238.5
1,225.5
735.8
561.5
202.1
96.0
1,271.0
1,241.7
726.6
546.6
196.9
93.4
1,301.0
1,256.5
717.9
532.7
192.0
90.9
1,327.6
1,269.0
709.6
519.7
187.5
88.5
1,349.8
1,278.2
701.4
507.3
183.2
86.1
1,370.9
1,287.2
694.5
496.4
179.4
83.9
1,390.3
1,295.3
688.6
486.7
176.0
81.8
43.12
15.48
-13.17
-28.98
-20.55
-16.90
1,162.7
915.4
1,281.3
426.6
216.0
1,201.5
914.6
1,281.2
429.7
205.2
1,238.5
913.1
1,279.9
432.5
195.4
1,271.0
909.8
1,275.3
434.2
186.0
1,301.0
906.8
1,270.3
435.7
177.3
1,327.6
904.0
1,264.5
436.8
168.9
1,349.8
900.2
1,256.9
437.2
161.9
1,370.9
897.4
1,250.2
437.9
155.9
1,390.3
895.2
1,243.7
438.5
151.0
43.12
-1.93
-9.59
6.65
-31.57
3,661.0
364.6
3,296.4
295.0
46.0
3,705.6
423.0
3,282.6
286.5
40.1
3,743.5
517.6
3,225.9
276.1
39.8
3,770.8
577.4
3,193.4
264.3
41.2
3,797.7
637.0
3,160.8
251.8
41.5
3,822.7
696.8
3,125.9
238.7
40.4
3,842.7
755.6
3,087.1
224.8
38.5
3,865.1
811.7
3,053.5
210.7
36.5
3,887.4
867.2
3,020.3
196.5
34.7
30.93
9,510.81
7.28
-155.33
10.35
2,131.0
2,169.8
2,208.6
2,241.7
2,271.6
2,295.1
2,312.2
2,330.0
2,347.4
17.11
309.6
1,539.9
21.5
304.3
1,535.6
22.6
298.4
1,528.8
23.7
291.6
1,518.2
24.7
285.2
1,508.6
25.6
279.5
1,500.9
26.2
274.0
1,493.2
26.7
268.6
1,486.6
27.2
263.2
1,480.5
27.6
-26.29
-1.94
51.90
654,167.8
267,489.8
237,725.7
62,737.6
26.4
691,881.9
280,687.4
254,439.1
67,185.9
17.5
788,334.7
316,690.8
289,810.9
72,913.0
17.3
956,788.1
362,819.3
371,080.0
100,692.3
8.8
1,032,725.0
392,991.3
403,896.4
116,324.1
53.2
1,078,952.4
405,104.0
428,126.3
128,068.4
56.1
1,126,587.0
410,468.3
455,035.6
142,640.1
69.4
1,171,937.8
420,960.1
476,718.8
154,483.7
88.2
1,193,362.6
429,648.6
489,801.9
156,083.3
99.3
708.11
818.00
995.15
438.77
-41.75
96.8
5.5
55.0
75.0
42.3
82.0
74.1
1.3
92.8
74.0
97.0
6.3
52.0
80.0
49.6
82.4
64.4
1.7
93.0
83.0
97.1
7.0
52.0
82.0
53.5
82.6
64.4
2.0
93.1
86.0
97.3
7.9
51.2
85.0
58.8
82.7
49.6
2.3
93.2
88.4
97.4
9.0
49.5
86.1
63.0
82.9
45.2
2.6
93.4
90.5
97.4
10.5
47.0
86.9
66.4
83.0
42.0
2.8
93.5
92.2
97.4
12.3
45.8
87.4
69.7
83.1
39.5
3.0
93.7
93.6
97.5
13.4
45.6
88.1
71.0
83.2
37.5
3.1
93.8
94.7
97.5
14.6
45.5
88.8
72.3
83.3
35.8
3.2
93.9
95.5
70.31
4,558.73
-1.84
409.87
1,196.56
-16.56
81.34
6,650.5
1,540.0
2,190.0
2,029.5
385.0
447.0
59.0
6,674.5
1,542.0
2,200.0
2,036.0
391.0
446.0
59.5
6,693.5
1,542.0
2,210.0
2,040.5
395.0
446.0
60.0
6,707.5
1,541.0
2,220.0
2,045.0
397.0
444.0
60.5
6,720.0
1,540.0
2,230.0
2,049.0
397.0
443.0
61.0
6,726.5
1,539.0
2,235.0
2,051.0
398.0
442.0
61.5
6,736.0
1,538.0
2,240.0
2,055.0
399.0
442.0
62.0
6,732.1
1,530.0
2,245.0
2,056.0
398.0
441.0
62.1
6,734.7
1,528.0
2,250.0
2,058.5
397.0
439.0
62.2
8.85
170.38
Source: Euromonitor International from national statistics
© Euromonitor International 2014— www.euromonitor.com
377
3
Chapter three — Country Snapshots
TableTypeI D: 30070; ITtableID: 44188; Co untryCode: NO
Norway Learning Norway Educ ation Norway Schools Norway Primary sc hool Norway Secondary school Norway School leaving age Norway Graduates Norway Humanities arts Norway Soci al scienc es Norway Engineeri ng construc tion Norway Agriculture Norway Health services Norway
Norway: Learning 1990, 1995, 2005-2013
School pupils
Pre-Primary School Pupils (‘000)
Primary School Pupils (‘000)
Secondary School Pupils (‘000)
Compulsory Education Commencement
Age (years)
School Leaving Age (years)
Higher education students
Higher education students (‘000)
Male (‘000)
Female (‘000)
Foreign students’ share of all
higher and university education
students (% of higher education
students)
Graduates by discipline
Graduates by discipline (number)
In Education (number)
In Humanities and Arts (number)
In Social Sciences, Business and
Law (number)
In Science (number)
In Engineering, Manufacturing and
Construction (number)
In Agriculture (number)
In Health and Welfare (number)
In Services (number)
In Not Known or Unspecified Programs
(number)
Table: 3.806
1990
1995
2005
2006
2007
2008
2009
2010
2011
2012
% Change
2013 1995-2013
74.3
375.3
375.1
109.7
374.1
370.9
157.1
429.7
403.0
159.3
429.7
412.3
161.4
430.7
419.7
165.5
429.6
423.6
169.7
426.8
425.1
173.6
424.1
435.1
175.8
423.3
437.0
181.6
422.3
439.6
188.7
426.5
441.6
6.0
16.0
6.0
16.0
6.0
16.0
6.0
16.0
6.0
16.0
6.0
16.0
6.0
16.0
6.0
16.0
6.0
16.0
104.28
13.69
17.94
129.3
60.0
69.3
173.0
78.4
94.5
213.9
86.5
127.5
214.7
86.4
128.3
215.2
85.6
129.7
212.7
83.3
129.4
219.3
85.4
133.9
224.7
88.1
136.6
229.7
91.1
138.6
232.8
92.3
140.6
233.6
92.5
141.1
60.27
41.36
75.96
5.3
6.5
6.3
6.7
7.3
7.6
8.0
7.0
7.2
7.4
7.5
33.11
32,037.0
6,056.0
2,269.0
33,487.0
5,969.0
2,951.0
35,456.0
6,369.0
3,471.0
35,266.0
6,329.0
3,077.0
35,317.0
6,118.0
3,081.0
37,925.0
6,679.0
3,240.0
40,481.0
6,962.0
3,343.0
43,911.0
7,552.0
3,626.0
45,655.0
7,834.0
3,806.0
8,203.0
2,607.0
9,058.0
2,738.0
9,752.0
2,666.0
10,222.0
2,647.0
10,077.0
2,545.0
11,126.0
2,684.0
12,063.0
3,070.0
13,085.0
3,330.0
13,666.0
3,455.0
2,449.0
380.0
8,242.0
1,606.0
2,518.0
375.0
8,210.0
1,617.0
2,622.0
393.0
8,681.0
1,443.0
2,703.0
328.0
8,323.0
1,584.0
2,835.0
368.0
8,639.0
1,587.0
3,370.0
295.0
8,528.0
1,859.0
3,727.0
331.0
8,792.0
1,978.0
4,043.0
359.0
9,537.0
2,146.0
4,228.0
369.0
9,854.0
2,247.0
225.0
51.0
59.0
53.0
67.0
144.0
215.0
233.0
196.0
Source: Euromonitor International from national statistics
TableTypeI D: 30080; ITtableID: 44264; Co untryCode: NO
Norway Food Norway Eating Norway Bread Norway Meat Norway Fish Norway Milk Norway Oils Norway Vegetables Norway Cereals Norway Eggs Norway Seafood Norway Cheese Norway
Norway: Eating 1990, 1995, 2005-2013
1990
1995
Food consumer expenditure by category
Food consumer expenditure (NOK
million)
50,776.1
60,859.1
Bread and cereals (NOK million)
5,950.5
7,499.0
Meat (NOK million)
13,095.4
15,045.0
Fish and seafood (NOK million)
4,037.0
5,273.0
Milk, cheese and eggs (NOK million)
9,952.0
10,941.0
Oils and fats (NOK million)
1,135.2
1,462.0
Fruit (NOK million)
3,105.5
3,551.0
Vegetables (NOK million)
3,799.6
4,853.0
Sugar and confectionery (NOK million)
7,157.8
9,075.0
Other Foods (NOK million)
2,543.2
3,160.0
Food per capita consumer expenditure by category
Food consumer expenditure (NOK
per capita)
11,995.0
13,995.7
Bread and cereals (NOK per capita)
1,405.7
1,724.5
Meat (NOK per capita)
3,093.6
3,459.9
Fish and seafood (NOK per capita)
953.7
1,212.6
Milk, cheese and eggs (NOK per
capita)
2,351.0
2,516.1
Oils and fats (NOK per capita)
268.2
336.2
Fruit (NOK per capita)
733.6
816.6
Vegetables (NOK per capita)
897.6
1,116.0
Sugar and confectionery (NOK per
capita)
1,690.9
2,087.0
Other Foods (NOK per capita)
600.8
726.7
Catering consumer expenditure
Consumer Expenditure on Catering
(NOK million)
13,262.0
23,728.1
Consumer Expenditure on Catering
(NOK per capita)
3,132.9
5,456.7
Table: 3.807
% Change
2013 1995-2013
2005
2006
2007
2008
2009
2010
2011
2012
89,832.0
12,530.0
22,392.0
9,307.0
13,036.0
1,800.0
5,800.0
7,672.0
13,252.0
4,043.0
93,248.9
13,010.0
22,976.0
9,810.0
13,364.0
1,846.0
6,327.0
7,842.0
13,679.0
4,395.0
98,313.0
13,737.6
24,469.3
10,369.7
13,883.6
1,913.9
6,842.8
8,227.7
14,315.6
4,552.9
105,433.0
15,070.5
26,286.4
11,207.3
15,140.4
2,113.9
7,035.3
8,571.3
15,041.8
4,966.2
110,769.0
15,946.4
26,228.8
12,409.1
16,204.5
2,143.5
7,701.2
9,187.0
15,600.9
5,347.5
113,986.3
16,578.4
26,625.7
13,028.8
16,788.2
2,188.8
7,988.5
9,409.7
15,831.8
5,546.3
118,542.1
17,466.6
27,085.1
13,898.3
17,698.9
2,265.8
8,326.8
9,740.9
16,199.0
5,860.8
122,045.6
18,019.8
27,200.1
14,606.2
18,376.6
2,315.3
8,756.0
10,126.7
16,552.9
6,092.0
127,358.5
18,842.9
27,709.2
15,552.1
19,297.8
2,397.8
9,328.1
10,669.7
17,143.2
6,417.8
125.84
171.92
97.13
218.38
85.42
86.36
175.24
141.57
110.03
122.61
19,501.7
2,720.2
4,861.1
2,020.5
20,095.8
2,803.7
4,951.5
2,114.1
21,002.0
2,934.7
5,227.2
2,215.2
22,256.5
3,181.3
5,549.0
2,365.8
23,080.5
3,322.7
5,465.2
2,585.6
23,462.7
3,412.5
5,480.6
2,681.8
24,092.4
3,549.9
5,504.8
2,824.7
24,478.3
3,614.2
5,455.4
2,929.5
25,195.6
3,727.7
5,481.8
3,076.7
110.05
165.19
77.20
222.62
2,830.0
390.8
1,259.1
1,665.5
2,880.0
397.8
1,363.5
1,690.0
2,965.9
408.9
1,461.8
1,757.6
3,196.1
446.2
1,485.1
1,809.4
3,376.5
446.6
1,604.7
1,914.2
3,455.6
450.5
1,644.3
1,936.9
3,597.1
460.5
1,692.3
1,979.7
3,685.7
464.4
1,756.2
2,031.1
3,817.7
474.4
1,845.4
2,110.8
62.39
76.88
151.55
135.17
2,876.9
877.7
2,947.9
947.2
3,058.1
972.6
3,175.3
1,048.3
3,250.7
1,114.2
3,258.8
1,141.6
3,292.3
1,191.1
3,320.0
1,221.9
3,391.5
1,269.6
100.57
111.33
37,481.0
41,379.0
44,681.0
48,317.0
48,036.0
49,258.9
52,193.8
55,232.7
58,207.1
189.42
8,136.8
8,917.5
9,544.9
10,199.5
10,009.1
10,139.3
10,607.8
11,077.8
11,515.2
267.56
Source: Euromonitor International from national statistics
534
World Consumer Lifestyles Databook 2014, 13th Edition
© Euromonitor International Ltd 2014— www.euromonitor.com
—Pakistan: Income 1990, 1995, 2005-2013
TableTypeI D: 30040; ITtableID: 43964; Co untryCode: PK
Pakistan Income Pakistan Gross income Pakistan Disposable income Pakistan Inc ome by age Pakistan Annual income Pakistan
Pakistan: Income 1990, 1995, 2005-2013
Table: 3.820
1990
1995
Gross and disposable income (annual) per capita
Gross Income (annual, current)
(PKR per capita)
7,086.5
13,404.5
Gross income (annual, constant)
(PKR per capita)
52,122.9
58,010.8
Disposable income (annual, current)
(PKR per capita)
6,437.6
12,246.7
Disposable income (annual, constant)
(PKR per capita)
47,349.6
52,999.9
Gross income (annual, current) by age
Aged 15-19 (PKR)
8,382.9
15,631.4
Aged 20-24 (PKR)
11,491.8
21,542.8
Aged 25-29 (PKR)
13,892.0
25,978.0
Aged 30-34 (PKR)
14,539.0
27,253.8
Aged 35-39 (PKR)
14,653.2
27,528.1
Aged 40-44 (PKR)
14,836.1
27,887.2
Aged 45-49 (PKR)
14,948.4
28,093.8
Aged 50-54 (PKR)
14,749.7
27,717.5
Aged 55-59 (PKR)
14,266.3
26,821.7
Aged 60-64 (PKR)
13,238.4
24,907.4
Aged 65+ (PKR)
10,239.8
19,383.6
Gross income (annual, constant) by age
Aged 15-19 (PKR)
61,657.8
67,647.9
Aged 20-24 (PKR)
84,524.8
93,230.7
Aged 25-29 (PKR)
102,179.0
112,424.8
Aged 30-34 (PKR)
106,937.6
117,946.2
Aged 35-39 (PKR)
107,777.7
119,133.5
Aged 40-44 (PKR)
109,123.0
120,687.3
Aged 45-49 (PKR)
109,949.0
121,581.7
Aged 50-54 (PKR)
108,486.9
119,953.0
Aged 55-59 (PKR)
104,931.6
116,076.4
Aged 60-64 (PKR)
97,371.0
107,791.7
Aged 65+ (PKR)
75,315.6
83,886.5
% Change
2013 1995-2013
2005
2006
2007
2008
2009
2010
2011
2012
39,641.6
44,153.1
48,310.7
56,580.8
65,630.9
71,818.0
86,979.5
94,101.4
102,192.7
1,342.07
94,104.6
97,125.0
98,779.0
96,284.0
98,021.8
95,012.0
102,769.4
101,328.2
102,192.7
96.06
36,022.4
39,917.4
43,553.6
50,969.8
59,177.0
64,823.2
78,450.9
84,812.7
91,987.9
1,328.93
85,512.9
87,807.7
89,052.2
86,735.8
88,382.7
85,758.0
92,692.5
91,326.2
91,987.9
101.51
40,696.7
58,369.3
68,988.5
73,801.7
75,640.2
76,913.1
77,410.9
76,344.5
74,050.7
69,190.4
55,061.1
43,420.2
63,762.3
75,301.4
80,297.7
84,084.9
85,888.8
86,245.7
84,818.2
83,261.8
77,552.5
62,385.7
46,152.5
69,337.1
80,171.1
87,971.5
91,318.6
93,171.8
93,713.5
92,413.4
89,585.0
84,272.0
68,371.3
53,459.3
80,314.5
92,863.6
101,899.0
105,776.1
107,922.6
108,550.1
107,044.2
103,767.9
97,613.8
79,212.1
61,654.3
92,340.0
106,476.8
116,648.7
120,989.1
123,416.8
124,155.0
122,486.6
118,841.9
111,968.3
91,121.5
67,069.8
100,079.9
115,115.0
125,971.7
130,601.0
133,205.8
134,013.9
132,243.2
128,356.7
120,996.8
98,514.0
80,663.9
120,092.1
137,819.9
150,580.9
155,997.0
159,075.7
160,066.5
158,015.6
153,492.4
144,924.6
118,270.6
86,727.5
128,805.3
147,388.2
160,646.8
166,222.3
169,445.1
170,546.0
168,479.7
163,896.8
155,226.4
127,323.2
93,485.0
138,576.9
158,268.2
172,235.5
178,085.0
181,501.3
182,709.4
180,568.3
175,792.6
166,758.4
137,075.7
544.43
589.92
555.76
578.62
593.69
597.64
597.15
598.25
602.22
616.36
654.35
96,609.3
138,562.0
163,770.7
175,196.7
179,561.0
182,582.7
183,764.5
181,232.8
175,787.5
164,249.9
130,708.5
95,513.0
140,260.1
165,643.0
176,633.5
184,964.3
188,932.5
189,717.5
186,577.4
183,153.8
170,594.9
137,231.8
94,366.3
141,770.9
163,922.6
179,871.9
186,715.6
190,504.7
191,612.3
188,954.1
183,170.9
172,307.7
139,796.1
90,972.2
136,671.9
158,026.9
173,402.5
180,000.1
183,652.9
184,720.6
182,158.0
176,582.9
166,110.3
134,795.9
92,082.6
137,912.7
159,026.4
174,218.4
180,700.9
184,326.8
185,429.2
182,937.4
177,494.1
167,228.1
136,092.7
88,730.2
132,401.0
152,291.8
166,654.8
172,779.1
176,225.1
177,294.1
174,951.6
169,809.9
160,073.2
130,329.5
95,307.3
141,893.1
162,839.0
177,916.7
184,316.0
187,953.5
189,124.3
186,701.1
181,356.7
171,233.5
139,740.9
93,388.0
138,697.4
158,707.3
172,984.2
178,987.9
182,458.2
183,643.7
181,418.7
176,483.8
167,147.5
137,101.4
93,485.0
138,576.9
158,268.2
172,235.5
178,085.0
181,501.3
182,709.4
180,568.3
175,792.6
166,758.4
137,075.7
51.62
63.95
54.89
61.06
65.23
66.33
66.18
66.44
67.53
71.26
82.00
Source: Euromonitor International from national statistics
TableTypeI D: 30050; ITtableID: 44040; Co untryCode: PK
Pakistan Expenditure Pakistan Consumer expenditure Pakistan Food Pakistan Alcohol Pakistan Clothing Pakistan Footwear Pakistan Housing Pakistan Health goods Pakistan Transport Pakistan Communications Pakistan Leisur e Pakistan Education Pakistan
Pakistan: Consumer expenditure 1990, 1995, 2005-2013
1990
Consumer expenditure by category
Consumer Expenditure (PKR million)
672,802
Food and non-alcoholic beverages
(PKR million)
369,269
Alcoholic beverages and tobacco
(PKR million)
14,807
Clothing and footwear (PKR million)
59,133
Housing (PKR million)
114,251
Household goods and services (PKR
million)
19,250
Health goods and medical services
(PKR million)
22,003
Transport (PKR million)
15,581
Communications (PKR million)
882
Leisure and recreation (PKR million)
7,486
Education (PKR million)
18,596
Hotels and catering (PKR million)
9,897
Miscellaneous goods and services
(PKR million)
21,647
Table: 3.821
% Change
2013 1995-2013
1995
2005
2006
2007
2008
2009
2010
2011
2012
1,496,555
5,512,600
6,301,731
7,117,813
8,624,944
10,421,759
11,828,179
14,821,401
16,568,647
18,552,008
1,194.69
806,882
2,307,397
2,644,508
2,994,664
3,748,172
4,673,314
5,467,746
6,955,174
7,898,024
8,924,060
1,060.23
32,078
125,543
261,356
75,051
325,790
1,275,265
81,703
364,793
1,438,050
87,662
403,411
1,601,950
101,278
472,855
1,913,290
116,402
552,061
2,278,220
125,329
604,655
2,547,462
150,114
737,922
3,177,426
159,748
801,617
3,531,917
173,622
888,113
3,886,773
495.08
660.31
1,443.44
43,969
156,092
178,436
201,544
244,219
295,096
334,920
424,103
478,706
539,578
1,183.39
51,461
38,085
3,293
17,152
42,994
21,832
237,314
309,700
30,970
90,901
203,537
79,504
247,204
359,004
35,900
105,581
241,003
88,298
252,016
411,109
41,111
121,137
281,622
96,810
282,917
491,053
49,105
137,021
328,961
124,920
314,717
584,770
58,477
153,767
382,642
160,142
326,385
653,942
65,394
161,125
417,423
192,191
393,793
815,739
81,574
187,072
507,231
256,586
426,150
906,842
90,684
192,016
548,445
304,542
471,055
1,029,214
102,179
208,476
615,923
351,354
872.61
2,661.51
3,076.12
1,171.84
1,389.34
1,564.00
51,910
421,080
517,251
624,778
731,151
852,152
931,607
1,134,668
1,229,954
1,361,659
2,581.43
Source: Euromonitor International from national statistics
TableTypeI D: 30060; ITtableID: 44116; Co untryCode: PK
Pakistan Work Pakistan Employment Pakistan Employed Pakistan Male employment Pakistan Female employment Pakistan Part-time employment Pakistan Unemployment Pakistan Unemployed population Pakistan Female unemployment Pakistan Male unemployment Pakistan
Pakistan: Work 1990, 1995, 2005-2013
1990
Employed Population
Employed Population (‘000)
Male employed Population (‘000)
Female employed population (‘000)
Male Part-Time Employees (‘000)
130.2
Female Part-Time Employees (‘000)
217.4
Unemployed Population
Unemployed Population (‘000)
Male unemployed Population (‘000)
Female unemployed Population (‘000)
Unemployment Rate (% of economically
active population)
Male Unemployment Rate (% of economically
active population)
Female Unemployment Rate (% of
economically active population)
Table: 3.822
% Change
2013 1995-2013
1995
2005
2006
2007
2008
2009
2010
2011
2012
31,174.5
27,356.3
3,818.2
136.5
218.3
44,101.9
36,081.4
8,020.4
149.6
314.3
46,950.7
37,808.2
9,142.5
150.4
327.0
47,663.5
38,126.4
9,537.1
150.9
335.6
49,091.2
39,065.8
10,025.5
151.3
341.8
50,235.9
39,674.7
10,561.2
151.2
344.4
50,994.9
40,062.2
10,932.7
151.5
347.8
52,157.6
40,724.5
11,433.1
158.2
363.7
52,696.6
40,999.8
11,696.8
162.2
374.9
53,131.9
41,194.7
11,937.2
167.9
389.2
1,779.5
1,176.7
602.8
3,679.1
2,587.6
1,091.6
3,103.3
2,165.8
937.5
2,667.5
1,798.6
868.9
2,692.8
1,759.2
933.5
2,895.7
1,842.1
1,053.6
3,154.2
1,938.9
1,215.3
3,270.2
1,943.3
1,326.9
4,388.7
2,746.1
1,642.7
5,406.0
3,367.8
2,038.2
5.4
7.7
6.2
5.3
5.2
5.5
5.8
5.9
7.7
9.2
4.1
6.7
5.4
4.5
4.3
4.4
4.6
4.6
6.3
7.6
13.6
12.0
9.3
8.4
8.5
9.1
10.0
10.4
12.3
14.6
27.65
78.71
Source: Euromonitor International from national statistics
© Euromonitor International 2014— www.euromonitor.com
541
3
Chapter three — Country Snapshots
TableTypeI D: 30100; ITtableID: 44442; CountryCode: ZA
South Africa Smoking South Afr ica Tobacc o South Africa Smokers South Afr ica Smoking prevalence South Afri ca
South Africa: Smoking 1990, 1995, 2005-2013
1990
Tobacco consumer expenditure
Tobacco consumer expenditure (R
million)
5,472.8
Tobacco consumer expenditure (R
per capita)
148.7
Smoking prevalence by sex
Smoking prevalence by sex (% of
total adult population)
Male (% of male adult population)
Female (% of female adult population)
Table: 3.1030
% Change
2013 1995-2013
1995
2005
2006
2007
2008
2009
2010
2011
2012
10,947.3
28,152.0
29,759.1
31,291.4
33,573.3
34,796.1
35,580.4
37,901.0
39,463.4
41,215.5
326.50
264.3
583.6
608.3
630.8
667.9
683.8
691.5
729.6
753.3
780.9
425.03
23.1
36.5
10.4
22.8
35.5
10.7
22.8
35.0
11.1
22.0
33.0
11.5
21.5
31.5
12.0
21.5
31.5
12.0
21.5
31.5
11.9
21.5
31.5
11.9
21.5
31.5
11.9
Source: Euromonitor International from national statistics
TableTypeI D: 30110; ITtableID: 44518; CountryCode: ZA
South Africa Appearance South Afr ica Personal care South Africa Beauty South Africa Cosmetics South Africa Fragrances South Africa Hair c are South Afr ica Men’s gr ooming South Africa Skin c are South Afr ica
South Africa: Personal Appearance 1990, 1995, 2005-2013
1990
1995
2005
2006
Personal care consumer expenditure
Personal care consumer expenditure
(R million)
1,577.1
3,161.0
10,207.5
11,405.6
Personal care consumer expenditure
(R per capita)
42.9
76.3
211.6
233.2
Beauty and personal care (selected) retail sales by category
Beauty and Personal Care retail
sales (R million)
14,443.0
15,977.7
Colour Cosmetics (R million)
1,000.4
1,128.1
Fragrances (R million)
2,589.0
2,904.3
Hair Care (R million)
2,830.8
3,088.2
Men’s Grooming (R million)
1,135.3
1,272.3
Skin Care (R million)
1,826.5
2,168.1
Beauty and personal care (selected) per capita retail sales by category
Beauty and Personal Care retail
sales (R per capita)
299.4
326.6
Colour Cosmetics (R per capita)
20.7
23.1
Fragrances (R per capita)
53.7
59.4
Hair Care (R per capita)
58.7
63.1
Men’s Grooming (R per capita)
23.5
26.0
Skin Care (R per capita)
37.4
43.8
Table: 3.1031
% Change
2013 1995-2013
2007
2008
2009
2010
2011
2012
13,841.3
14,982.4
16,161.2
17,389.7
18,228.2
19,805.3
21,357.4
575.65
279.0
298.1
317.6
338.0
350.9
378.1
404.7
844.11
17,784.7
1,277.0
3,243.4
3,371.4
1,413.1
2,627.9
19,792.3
1,462.3
3,697.3
3,596.5
1,593.2
3,076.4
22,625.4
1,690.6
4,296.6
3,846.4
1,837.0
3,526.9
25,650.7
1,963.4
4,946.5
4,206.2
2,099.3
3,948.0
28,576.3
2,094.0
5,292.7
4,308.8
2,203.9
4,345.9
29,870.6
2,209.1
5,598.7
4,370.8
2,283.6
4,731.1
31,060.5
2,309.4
5,866.8
4,403.7
2,341.9
4,828.1
358.5
25.7
65.4
68.0
28.5
52.2
393.7
29.1
73.6
71.5
31.7
60.4
444.6
33.2
84.4
75.6
36.1
68.3
498.5
38.2
96.1
81.7
40.8
75.3
550.1
40.3
101.9
82.9
42.4
79.4
570.2
42.2
106.9
83.4
43.6
82.4
588.5
43.8
111.2
83.4
44.4
84.8
Source: Euromonitor International from national statistics
TableTypeI D: 30120; ITtableID: 44594; CountryCode: ZA
South Africa Fashion South Africa Grooming South Afr ica Clothing South Afri ca Footwear South Africa Garments South Africa Clothing repair s South Africa Footwear South Africa
South Africa: Fashion 1990, 1995, 2005-2013
1990
1995
2005
2006
Clothing and footwear consumer expenditure by category
Clothing and footwear consumer
expenditure (R million)
11,153.1
21,041.7
54,627.7
61,205.2
Clothing materials (R million)
99.3
197.5
599.5
675.2
Garments (R million)
6,625.1
12,985.9
37,057.9
41,286.2
Other clothing (R million)
124.7
264.0
1,089.9
1,259.0
Clothing, cleaning, repair and
hire (R million)
44.8
89.2
272.5
307.5
Footwear (R million)
4,259.1
7,505.1
15,607.9
17,677.3
Clothing and footwear per capita consumer expenditure by category
Clothing and footwear consumer
expenditure (R per capita)
303.1
507.9
1,132.5
1,251.1
Clothing materials (R per capita)
2.7
4.8
12.4
13.8
Garments (R per capita)
180.1
313.5
768.3
844.0
Other clothing (R per capita)
3.4
6.4
22.6
25.7
Clothing, cleaning, repair and
hire (R per capita)
1.2
2.2
5.6
6.3
Footwear (R per capita)
115.8
181.2
323.6
361.4
Table: 3.1032
% Change
2013 1995-2013
2007
2008
2009
2010
2011
2012
68,105.4
752.6
45,474.4
1,434.5
73,665.8
812.4
48,460.8
1,578.0
77,474.2
849.2
49,969.7
1,676.1
81,823.6
887.6
51,478.1
1,775.1
89,543.6
965.5
55,380.1
1,954.9
97,136.4
1,039.9
59,018.4
2,128.3
104,285.4
1,108.9
62,365.8
2,289.5
442.61
511.26
429.24
820.05
343.5
20,100.3
371.7
22,443.0
389.5
24,589.7
408.3
27,274.5
445.0
30,798.0
480.3
34,469.4
513.1
38,008.1
524.79
449.68
1,373.0
15.2
916.8
28.9
1,465.5
16.2
964.1
31.4
1,522.4
16.7
981.9
32.9
1,590.3
17.3
1,000.5
34.5
1,723.7
18.6
1,066.0
37.6
1,854.2
19.9
1,126.6
40.6
1,976.0
21.0
1,181.7
43.4
551.87
678.35
556.27
1,180.17
6.9
405.2
7.4
446.5
7.7
483.2
7.9
530.1
8.6
592.8
9.2
658.0
9.7
720.2
697.81
522.15
Source: Euromonitor International from national statistics
634
World Consumer Lifestyles Databook 2014, 13th Edition
© Euromonitor International Ltd 2014— www.euromonitor.com
Chapter three — Country Snapshots
TableTypeI D: 30130; ITtableID: 44664; Co untryCode: TW
Taiwan Health Taiwan Wellness Taiwan Public health Taiwan Private health Taiwan Life expectancy Taiwan Obesity Taiwan Consumer health Taiwan Analgesics Taiwan Digestive remedies Taiwan Medicated skin care Taiwan Vitamins Taiwan Cough remedies Taiwan
Taiwan: Health and Wellness 1990, 1995, 2005-2013
1990
1995
Table: 3.1118
2005
Health expenditure
Health expenditure (US$ per capita)
242.6
530.2
858.7
Healthy life expectancy at birth
Total Population (years)
74.0
74.8
77.7
Males (years)
71.3
71.9
74.5
Females (years)
76.8
77.7
80.8
Consumer health (selected) retail sales by category
Consumer health retail sales (NT$
million)
9,761.0
Analgesics (NT$ million)
2,375.8
Cough, Cold and Allergy (Hay Fever)
Remedies (NT$ million)
3,532.8
Digestive Remedies (NT$ million)
1,564.8
Medicated Skin Care (NT$ million)
1,927.6
Vitamins and Dietary Supplements
(NT$ million)
35,339.6
Consumer health (selected) per capita retail sales by category
Consumer health retail sales (NT$
per capita)
430.2
Analgesics (NT$ per capita)
104.7
Cough, Cold and Allergy (Hay Fever)
Remedies (NT$ per capita)
155.7
Digestive Remedies (NT$ per capita)
69.0
Medicated Skin Care (NT$ per capita)
85.0
Vitamins and Dietary Supplements
(NT$ per capita)
1,557.6
% Change
2013 1995-2013
2006
2007
2008
2009
2010
2011
2012
871.3
904.0
978.2
973.0
1,042.7
1,155.5
1,246.7
1,348.7
208.64
78.1
74.9
81.4
78.6
75.5
81.7
78.8
75.6
81.9
79.2
75.9
82.5
79.4
76.1
82.7
79.6
76.3
82.9
79.9
76.6
83.2
80.1
76.8
83.4
8.10
7.61
8.55
10,039.2
2,418.1
10,351.9
2,469.5
10,670.1
2,526.2
11,017.1
2,584.2
11,389.8
2,657.2
11,864.3
2,764.6
12,266.5
2,846.6
12,432.9
2,876.6
3,634.3
1,614.6
2,007.0
3,752.7
1,664.2
2,093.7
3,880.1
1,712.4
2,173.5
4,027.4
1,754.7
2,262.3
4,177.8
1,802.0
2,352.9
4,347.8
1,876.1
2,457.3
4,494.7
1,936.3
2,511.8
4,552.1
1,957.7
2,563.4
37,845.1
40,301.1
42,699.1
44,808.1
47,413.5
50,733.4
53,377.7
55,099.8
440.9
106.2
452.5
108.0
464.8
110.0
478.2
112.2
492.6
114.9
512.2
119.4
528.2
122.6
533.2
123.4
159.6
70.9
88.1
164.0
72.7
91.5
169.0
74.6
94.7
174.8
76.2
98.2
180.7
77.9
101.8
187.7
81.0
106.1
193.5
83.4
108.2
195.2
84.0
109.9
1,662.0
1,761.7
1,859.8
1,945.0
2,050.8
2,190.4
2,298.3
2,363.0
Source: Euromonitor International from national statistics
TableTypeI D: 30140; ITtableID: 44740; Co untryCode: TW
Taiwan Leisure Taiwan Recreation Taiwan Satellite TV Taiwan Cable TV Taiwan Holidays Taiwan Package holiday s Taiwan Hotels Taiwan Catering Taiwan Acc ommodation Taiwan
Taiwan: Leisure and Recreation 1990, 1995, 2005-2013
1990
1995
2005
Satellite TV and Cable TV households
Cable TV Households (‘000)
262.0
3,096.1
5,573.3
Satellite TV Households (‘000)
0.5
12.9
29.4
Package holidays consumer expenditure
Package holidays consumer expenditure
(NT$ million)
57,044.8
115,610.9
239,790.0
Package holidays consumer expenditure
(NT$ per capita)
2,830.1
5,459.0
10,568.5
Hotels and other accommodation consumer expenditure
Hotels and other accommodation
consumer expenditure (NT$ million) 15,522.9
27,561.0
44,785.2
Hotels and other accommodation
consumer expenditure (NT$ per
capita)
770.1
1,301.4
1,973.9
Table: 3.1119
% Change
2013 1995-2013
2006
2007
2008
2009
2010
2011
2012
5,695.6
29.4
5,771.7
29.4
5,963.6
29.5
6,045.4
29.7
6,178.9
29.9
6,224.9
30.2
6,308.3
30.4
6,401.5
30.7
198.30
233.78
321,105.3
292,303.7
313,455.2
316,152.0
347,677.4
366,512.3
386,804.8
402,182.4
298.53
14,101.9
12,777.4
13,653.2
13,723.6
15,038.1
15,823.8
16,654.7
17,247.6
509.44
47,429.6
48,558.4
49,219.0
50,272.9
55,456.0
61,903.1
66,571.8
69,385.4
195.43
2,083.0
2,122.6
2,143.8
2,182.3
2,398.6
2,672.6
2,866.4
2,975.6
286.38
Source: Euromonitor International from national statistics
TableTypeI D: 30150; ITtableID: 44816; Co untryCode: TW
Taiwan Technology Taiwan Broadband Taiwan Internet Taiwan CD players Taiwan DVD players Taiwan Games console Taiwan Video games Taiwan Mobile phones Taiwan Telephones Taiwan Internet users Taiwan
Taiwan: Consumer Technology 1990, 1995, 2005-2013
1990
1995
Broadband internet-enabled households
Broadband internet-enabled households
(% of households)
0.0
CD player and DVD player/recorder households
CD player households (% of households)
28.1
44.2
DVD player/recorder households
(% of households)
0.2
Video game console households
Video game console households (%
of households)
6.4
8.8
Mobile telephone households
Mobile telephone households (%
of households)
0.0
6.1
Internet users
Internet Users (‘000)
247.9
Table: 3.1120
2005
2006
2007
2008
2009
2010
2011
2012
2013
39.3
44.8
48.3
51.4
54.4
58.4
62.0
65.2
68.0
70.6
71.1
70.7
70.1
69.1
69.1
68.3
67.7
67.2
48.6
53.5
52.7
44.1
42.2
39.4
37.7
38.2
39.0
10.6
10.7
10.7
10.4
10.1
10.2
10.1
10.0
10.0
85.4
87.4
88.9
89.8
90.6
90.6
91.7
92.1
92.4
13,163.1
14,501.1
14,743.9
15,115.8
16,102.9
16,530.6
16,676.7
17,648.8
18,096.5
Source: Euromonitor International from national statistics
674
World Consumer Lifestyles Databook 2014, 13th Edition
© Euromonitor International Ltd 2014— www.euromonitor.com
—United Arab Emirates: Transport 1990, 1995, 2005-2013
TableTypeI D: 30160; ITtableID: 44893; Co untryCode: UA
United Arab Emirates Transport United Arab Emirates Cars United Arab Emirates Passenger c ars United Arab Emirates Transport United Arab Emirates Rail travel United Arab Emirates Buses United Arab Emirates Coaches United Arab Emirates Trains United Arab Emirates Air travel United Arab Emirates
United Arab Emirates: Transport 1990, 1995, 2005-2013
1990
1995
2005
Passenger car households
Passenger car households (% of
households)
81.9
90.8
96.8
Transport services consumer expenditure
Transport services consumer expenditure
(AED million)
4,888.8
6,712.5
14,339.6
Rail travel consumer expenditure
(AED million)
208.6
293.5
632.6
Buses, coaches and taxis consumer
expenditure (AED million)
1,061.4
1,315.6
2,507.9
Air travel consumer expenditure
(AED million)
3,126.1
4,373.5
9,848.9
Other travel consumer expenditure
(AED million)
492.8
729.9
1,350.2
Transport services per capita consumer expenditure
Transport services consumer expenditure
(AED per capita)
2,794.5
2,929.4
3,878.3
Rail travel consumer expenditure
(AED per capita)
119.2
128.1
171.1
Buses, coaches and taxis consumer
expenditure (AED per capita)
606.7
574.1
678.3
Air travel consumer expenditure
(AED per capita)
1,786.9
1,908.7
2,663.8
Other travel consumer expenditure(AED
per capita)
281.7
318.6
365.2
Table: 3.1222
% Change
2013 1995-2013
2006
2007
2008
2009
2010
2011
2012
97.0
97.1
97.3
97.4
97.6
97.8
97.9
98.0
17.76
17,109.8
20,783.5
24,955.9
17,323.7
21,115.4
22,347.6
23,602.5
24,977.1
299.27
756.0
919.5
1,103.7
771.0
931.0
985.7
1,042.1
1,103.8
305.06
3,000.2
3,643.3
4,355.5
3,045.5
3,815.5
3,992.6
4,187.2
4,399.5
253.73
11,743.6
14,268.5
17,162.0
11,892.4
14,413.9
15,297.1
16,183.5
17,154.7
320.76
1,610.0
1,952.3
2,334.6
1,614.9
1,955.0
2,072.2
2,189.7
2,319.1
250.20
4,166.6
4,146.4
4,012.8
2,145.7
2,575.1
2,704.2
2,830.5
2,968.0
6.21
184.1
183.4
177.5
95.5
113.5
119.3
125.0
131.2
10.03
730.6
726.9
700.4
377.2
465.3
483.1
502.1
522.8
-13.83
2,859.8
2,846.6
2,759.6
1,473.0
1,757.8
1,851.0
1,940.8
2,038.5
14.08
392.1
389.5
375.4
200.0
238.4
250.8
262.6
275.6
-2.16
Source: Euromonitor International from national statistics
TableTypeI D: 30170; ITtableID: 44969; Co untryCode: UA
United Arab Emirates Money United Arab Emirates Annual savings United Arab Emirates Savings ratio United Arab Emirates Lending United Arab Emir ates Mortgages United Arab Emirates Consumer cr edit United Arab Emirates Debi t cards United Arab Emirates Credi t cards United Arab Emirates
United Arab Emirates: Money 1990, 1995, 2005-2013
1990
Annual savings and savings ratio
Annual Savings (AED million)
11,399.5
Savings Ratio (% of disposable
income)
10.8
Consumer lending by category
Consumer Lending (total) (AED million)
Mortgages/housing share of total
consumer lending (AED million)
Consumer Credit share of total
consumer lending (AED million)
Debit and credit cards in circulation
Debit cards in circulation (‘000
cards)
Credit cards in circulation (‘000
cards)
Table: 3.1223
% Change
2013 1995-2013
1995
2005
2006
2007
2008
2009
2010
2011
2012
13,037.8
70,727.8
90,207.2
107,839.8
128,441.5
89,770.3
108,583.0
113,063.6
118,099.8
124,129.2
864.64
8.1
15.5
16.1
15.6
15.3
15.0
14.9
14.6
14.4
14.3
42.19
96,261.7
111,987.3
156,873.0
242,482.7
239,881.3
245,263.7
252,469.7
261,306.1
269,421.4
17,224.0
31,016.0
58,859.0
123,603.9
121,964.3
127,330.7
133,697.3
141,002.1
146,835.9
55,796.6
63,331.8
86,794.3
129,344.9
127,470.6
132,076.3
139,384.6
147,938.4
155,235.0
2,130.6
2,697.9
3,395.7
4,253.3
4,551.8
4,885.7
5,240.8
5,757.0
6,317.7
1,370.4
1,674.7
2,213.8
2,859.5
2,939.7
3,087.9
3,350.0
3,650.0
3,992.7
Source: Euromonitor International from national statistics
© Euromonitor International 2014— www.euromonitor.com
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