|
World Comparison Real Gross Domestic Product and Purchasing Power
SUMMARY OF 1985 RESULTS
The detailed results of the 1985 world
comparisons are contained in section IV of this report. The data
shown in table A and in table B are confined to summary results
for countries and areas participating in the International Comparison
Programme in 1981 The seems covered for each are the following:
(1) country/area name; (2) name of national currency; (3) size of
population; (4) total GDP in national currency; (5) per capita GDP
in United States dollars at international prices; (6) per capita
GDP in percentages of the United States per capita level; (7) purchasing
power parity (PPP) of the national currency; (8) exchange rate of
the national currency per United States dollar; and (9) national
price level in percentages of the United States price level.
The first three column headings of
table A and table B are self-explanatory; they simply provide for
essential reference information. Column 4 shows basic input data
as submitted by the participating countries: the total GDP of each
country expressed in its national currency. The remaining five columns
contain the ICP results proper. While columns 5 and 6 refer to the
quantity comparisons of countries by indicating their real-term
GDP estimates, columns 7 through 9 list information relevant to
the price comparisons. The price level of a country in column 9
is defined with a view to the relationship of its PPP to its exchange
rate, by dividing the former by the latter (then multiplied by 100).
In the case of the United States, which is used as the numeraire
country, these results in a price level taken as 100, and the price
levels of all other countries are expressed in terms of this magnitude.
Table A and table B contain the information
enumerated above in two renderings. First, Table A shows all 64
participating countries by continent (Africa, Asia, Europe, Canada
and the United States, Oceania and the Caribbean). Second, table
B displays the same information I descending order according to
the per capita GDP in United States dollars at international prices,
covering 56 countries for which global results were generated. In
this table the countries are listed according to four groupings
by levels of their per capita GDP.
One of the key findings from table
A and table B is the difference between exchange rates and PPPs
for countries. There are always differences between the exchange
rate of a currency and its purchasing power, though the magnitude
of this difference varies from country to country. Naturally, GDP
expenditures converted to a common currency using exchange rates
or PPPs will produce two different sets of results. Expenditures
converted by exchange rates reflect not only differences in the
quantities purchased in the different countries, but also differences
in price levels between countries. Therefore, exchange rates are
not appropriate tools for international comparisons of volume. Generally,
it is thought that exchange rates are most relevant to certain types
of analysis, e.g. to those components of the GDP which are subject
to international trade; however, many items of services, as well
as much of construction, are not in this category.
If the quantities of GDP of different
countries have to be compared, PPP-based studies are preferable
to exchange rate-based calculations, so that real-term GDP comparisons
of countries can be estimated. The PPPs are estimated on the basis
of numerous detailed price comparisons, carried out in terms of
closely specified items and common expenditure categories. PPPs
are currency conversion rates which eliminate the differences in
price levels between countries. Thus, the PPP converted expenditures
on GDP are expressed at the same set of international prices so
that comparisons between countries reflect only differences in the
volume of goods and services.
For 1985, ICP world comparisons of
per capita real GDP are available for 56 countries. Internationally
comparable results for Nepal are presented under section III in
the regional context. Numerical data of the seven Caribbean countries,
covered in a regional exercise, are not included in this report
for reasons explained in sections III B and IV B.
The world comparison results for 1985,
included in table B, show that the 56 countries examined form four
groupings according to the level of their per capita real GDP estimates:
high-, middle-, lower-middle- and low level groups.
In countries with high per capita level
of GDP in real terms, this indicator exceeds 10,000 dollars per
head of the population. In other words, these 18 ICP countries in
1985 attained more than 60 per cent of the per capita GDP level
in the United States. They were concentrated in three geographic
areas, namely: Western Europe (12 countries); Asia and the Pacific
(four countries); and North America (two countries). The 12 European
ICP countries in this uppermost grouping were the following: Austria,
Belgium, Denmark, Finland, France, Germany, Italy, Luxembourg, the
Netherlands, Norway, Sweden and the United Kingdom. The four ICP
countries belonging to this grouping in 1985 in Asia and the Pacific
were Australia, Hong Kong, Japan and New Zealand, and it also included
two North American countries, Canada and the United States. While
the combined population of these 18 countries amounts to 29 per
cent of the tool population of the 56 countries covered in the global
programme, they generated 77 per cent of the total GDP of these
56 counties.
In the middle-level group of countries,
the real GDP per capita remains below $10,000, but is higher than
$3,000. This group of countries in the 1985 ICP included twelve
countries; among them were eight European countries, two Asian countries,
and two African countries, all of which fall between 20 and 50 per
cent of the United States per capita GDP level. The European countries
were Greece, Hungary, Ireland, Poland, Portugal, Spain, Turkey and
Yugoslavia. The two Asian countries in this group were Iran (Islamic
Republic of) and the Republic of Korea, while the two African countries
were Mauritius and Tunisia.
The third grouping of 11 countries
is defined here as having a lower-middle level of per capita real
GDP, representing a range from $1,500 to $3,000, or 10 to 20 per
cent of the per capita United States GDP in 1985. All countries
in this group were from Africa (eight countries) and Asia (three
countries). The African countries were the following: Botswana,
Cameroon, Congo, Egypt, Cote d'lvoire, Morocco, Swaziland and Zimbabwe.
The three Asian countries in this group were the Philippines, Sri
Lanka and Thailand.
Fifteen countries, all of them in Africa
(12 countries) and Asia (three countries), were found to have a
low real GDP per capita level that corresponds to less than $1,500
of real GDP per capita, remaining below 10 per cent of the respective
United States data. The twelve African countries were Benin, Ethiopia,
Kenya, Madagascar, Malawi, Mali, Nigeria, Rwanda, Senegal, Sierra
Leone, the United Republic of Tanzania and Zambia. The three Asian
countries in this group were Bangladesh, India and Pakistan. It
should be mentioned that within this grouping the per capita GDP
in seven of the African and two of the Asian countries was less
than (or equal to) 5 per cent of the United States level. While
countries in this group represent half of the total population of
the 56 ICP countries, their combined real GDP accounts for only
8 per cent of the total.
In summary, countries from different
geographical areas are unevenly distributed according to their real
GDP per capita levels, as shown in table C. In addition, the variation
within geographical areas is quite significant. In respect to this
matter, further information on selected iesults of 1985 comparisons
within regions can be found in section III of the present report.
It should be noted that ICP regions may not always correspond to
geographical areas.
Overall, in reference year 1985, the
56 countries covered in the global results of the International
Comparison Programme had a total of approximately 2,382 million
inhabitants, that is, close to half of the world population. Table
D presents the share of the individual countries in terms of their
population, area and real GDP in the total of 56 countries covered
by the 1985 global ICP exercise. Countries in table D are arranged
in descending order of their population.
TABLE A. GROSS DOMESTIC
PRODUCT IN NATIONAL CURRENCY AND IN US DOLLARS AT INTERNATIONAL
PRICES, POPULATION AND PRICE LEVELS, 1985
Country or area
(1)
|
Currency
(2)
|
Resident population (millions)
(3)
|
Total GDP In national currency
(millions)
(4)
|
Per capita GDP
|
Purchasing power parity (PPP)
(per US dollar)
(7)
|
Exchange rate (per US dollar)
(8)
|
Price level US=100(9)
|
|
US dollars at international
prices(5)
|
With US=100
(6)
|
|
Africa
|
|
|
|
|
|
|
|
|
| |
Benin
|
CFA francs
|
3.930
|
499848
|
1 333
|
8.1
|
95.45
|
449.26
|
21.2
|
| |
Botswana
|
Pula
|
1.090
|
1 692
|
2671
|
16.2
|
0.5813
|
1.90
|
30.6
|
| |
Cameroon
|
CFA francs
|
10.190
|
4528000
|
2724
|
16.5
|
163.1
|
449.26
|
36.3
|
| |
Cote d'lvoire
|
CFA francs
|
9.810
|
3 137592
|
1710
|
10.4
|
187.1
|
449.26
|
41.6
|
| |
Congo
|
CFA francs
|
1740
|
970850
|
2559
|
15.5
|
218.1
|
449.26
|
48.5
|
| |
Egypt
|
Pounds
|
48.500
|
38320
|
2794
|
16.9
|
0.2828
|
0.70
|
40.4
|
| |
Ethiopia
|
Birr
|
43.350
|
9881
|
301
|
1.8
|
0.7562
|
2.07
|
36.5
|
| |
Kenya
|
Shillings
|
20.330
|
98285
|
995
|
6.0
|
4.859
|
16.43
|
29.6
|
| |
Madagascar
|
Francs
|
9.980
|
1553400
|
631
|
3.8
|
246.7
|
662.48
|
37.2
|
| |
Malawi
|
Kwacha
|
7.060
|
2020
|
630
|
3.8
|
0.4544
|
1.72
|
26.4
|
| |
Mali
|
CFA francs
|
8.210
|
518521
|
365
|
2.2
|
173.2
|
449.26
|
38.5
|
| |
Mauritius
|
Rupees
|
0.990
|
16265
|
5886
|
35.7
|
2.7913
|
15.44
|
18.1
|
| |
Morocco
|
Dirhams
|
21.940
|
119658
|
2371
|
14.4
|
2.300
|
1106
|
219
|
| |
Nigeria
|
Naira
|
95.220
|
80309
|
980
|
5.9
|
0.8603
|
019
|
917
|
| |
Rwanda
|
Francs
|
6.070
|
151 746
|
676
|
4.1
|
36.98
|
101.26
|
36.5
|
| |
Senegal
|
CFA francs
|
6.440
|
1 186900
|
1 334
|
8.1
|
138.2
|
449.26
|
30.8
|
| |
Sierra Leone
|
Leones
|
3.600
|
4413
|
630
|
3.8
|
1.9467
|
5.09
|
38.2
|
| |
Swaziland
|
Emalangeni
|
0.650
|
747
|
2344
|
14.2
|
0.4904
|
2.22
|
22.1
|
| |
Tunisia
|
Dinars
|
7.260
|
6860
|
3446
|
20.9
|
0.2742
|
0.83
|
33.0
|
| |
United Rep. Tanzania
|
Schillings
|
21.730
|
111831
|
418
|
2.5
|
12.31
|
17.47
|
70.5
|
| |
Zambia
|
Kwacha
|
6.670
|
6333
|
938
|
5.7
|
1.0120
|
3.14
|
32.2
|
| |
Zimbabwe
|
Dollars
|
8.380
|
8099
|
1684
|
10.2
|
0.5739
|
1.61
|
35.6
|
|
Asia
|
|
|
|
|
|
|
|
|
| |
Bangladesh
|
Taka
|
98.660
|
497542
|
830
|
5.0
|
6.075
|
31.0
|
19.6
|
| |
Hong Kong
|
Dollars
|
5.460
|
260752
|
10204
|
61.9
|
4.680
|
7.791
|
60.1
|
| |
India
|
Rupees
|
755.000
|
2640990
|
749
|
4.5
|
4.667
|
12.37
|
37.7
|
| |
Iran (Islamic Rep. of)
|
Rials
|
47.820
|
15275716
|
4619
|
28.0
|
69.16
|
87.967
|
78.6
|
| |
Japan
|
Yen
|
120.754
|
316114000
|
11795
|
71.5
|
221.9
|
236.61622
|
93.8
|
| |
Korea
|
Won
|
41.210
|
75348652
|
3979
|
24.1
|
459.5
|
870.027
|
52.8
|
| |
Nepala a
|
Rupees
|
16.690
|
|
|
|
|
18.247
|
|
| |
Pakistan
|
Rupees
|
97.670
|
492940
|
1342
|
8.1
|
3.761
|
15.928
|
23.6
|
| |
Philippines
|
Pesos
|
54.670
|
616658
|
1 791
|
10.9
|
6.297
|
18.738
|
33.6
|
| |
Sri Lanka
|
Rupees
|
15.840
|
155092
|
1 852
|
11.2
|
5.288
|
27.16
|
19.5
|
| |
Thailand
|
Bhat
|
51.300
|
1096486
|
2641
|
16.0
|
8.094
|
27.13
|
29.8
|
|
Europe
|
|
|
|
|
|
|
|
|
| |
Austria
|
Schillings
|
7.555
|
1366640
|
10895
|
66.1
|
16.60
|
20.49934
|
81.0
|
| |
Belgium
|
Francs
|
9.858
|
4695382
|
10671
|
64.7
|
44.63
|
58.85769
|
75.8
|
| |
Denmark
|
Kroner
|
5.114
|
612869
|
12234
|
74.2
|
9.796
|
10.5083
|
93.2
|
| |
Finland
|
Markkaa
|
4.901
|
335394
|
11464
|
69.5
|
5.970
|
6.15161
|
97.0
|
| |
France
|
Francs
|
55.173
|
4585338
|
11434
|
69.3
|
7.269
|
8.90463
|
81.6
|
| |
Germany
|
D.Mark
|
61.024
|
1 839910
|
12 169
|
73.8
|
2.478
|
2.91751
|
84.9
|
| |
Greece
|
Drachmas
|
9.989
|
4527 150
|
5861
|
35.5
|
77.33
|
138.56724
|
55.8
|
| |
Hungary
|
Forint
|
10.649
|
945 462
|
5 140
|
31.2
|
17.27
|
49.6494
|
34.8
|
| |
Ireland
|
Pounds
|
3.540
|
17254
|
6740
|
40.9
|
0.7231
|
0.9372
|
77.2
|
| |
Italy
|
Lire
|
57.141
|
805754000
|
10827
|
65.6
|
1302.0
|
1897.54
|
68.6
|
| |
Luxembourg
|
Francs
|
0.366
|
211 786
|
13416
|
81.3
|
43.13
|
58.85769
|
73.3
|
| |
Netherlands
|
Guilders
|
14.488
|
415061
|
11256
|
68.2
|
2.545
|
3.29059
|
77.4
|
| |
Norway
|
Kronor
|
4.148
|
497835
|
13913
|
84.4
|
8.626
|
8.53249
|
101.1
|
| |
Poland
|
Zlotys
|
37.203
|
10462078
|
4039
|
24.5
|
69.62
|
145.8323
|
47.7
|
| |
Portugal
|
Escudos
|
9.648
|
3557800
|
5568
|
33.8
|
66.23
|
170.68936
|
38.8
|
| |
Spain
|
Pesetas
|
38.602
|
27929695
|
7589
|
46.0
|
95.34
|
1691&38
|
513
|
| |
Sweden
|
Kronor
|
8.350
|
862522
|
12679
|
76.9
|
8.147
|
8.54597
|
95.3
|
| |
Turkey
|
Liras
|
49.870
|
27509 100
|
3599
|
21.8
|
153.30
|
521.983
|
29.4
|
| |
United Kingdom
|
Pounds
|
56.618
|
350450
|
10905
|
66.1
|
0.5676
|
0.77183
|
73.5
|
| |
Yugoslavia
|
New Dinars
|
22.361
|
12305 121
|
4810
|
29.2
|
114.40
|
272.31323
|
42.0
|
|
Canada and United States
|
|
|
|
|
|
|
|
|
| |
Canada
|
Dollars
|
25.379
|
472498
|
15258
|
92.5
|
1.220
|
1.36556
|
89.4
|
| |
United States
|
Dollars
|
239.283
|
3946615
|
16494
|
100.0
|
1.00
|
1.00
|
100.0
|
|
Oceania
|
|
|
|
|
|
|
|
|
| |
Australia
|
Dollars
|
15.752
|
228161
|
11 723
|
71.1
|
1.236
|
1.43113
|
86.3
|
| |
New Zealand
|
Dollars
|
3.254
|
44255
|
10047
|
60.9
|
1.354
|
2.00189
|
67.6
|
|
Caribbean
|
|
|
|
|
|
|
|
|
| |
Bahamasb b
|
Dollars
|
0.232
|
1 880
|
|
|
|
1.00
|
|
| |
Barbado b
|
Dollars
|
0.253
|
2410
|
|
|
|
2.011
|
|
| |
Grenadab b
|
Dollars
|
0.096
|
311
|
|
|
|
2.70
|
|
| |
Jamaicab b
|
Dollars
|
2.311
|
11 151
|
|
|
|
5.48
|
|
| |
St. Luciab b
|
Dollars
|
0.137
|
504
|
|
|
|
2.70
|
|
| |
Surinameb b
|
Guilders
|
0.375
|
1 741
|
|
|
|
1.785
|
|
| |
Trinidad and Tobagob b
|
Dollars
|
1.178
|
18077
|
|
|
|
3.60
|
|
a Only regional comparison
results available. For additional data on Nepal, see table F.
b numerical data of the seven Caribbean countries covered
in a regional exercise for 1%5 am not included in this report;
for relevant regional data, see the study listed in the references.
TABLE B. GROSS DOMESTIC
PRODUCT IN NATIONAL CURRENCY AND IN US DOLLARS AT INTERNATIONAL
PRICES, POPULATION AND PRICE LEVELS, 1985
(Countries arranged in descending order of magnitude of per capita
GDP in US dollars)
Country or area
(1)
|
Currency
(2)
|
Resident population (millions)
(3)
|
Total GDP In national currency
(millions)
(4)
|
Per capita GDP
|
Purchasing power parity (PPP)
(per US dollar)
(7)
|
Exchange rate (per US dollar)
(8)
|
Price level US=100(9)
|
|
US dollars at international
prices(5)
|
With US=100
(6)
|
|
United States
|
Dollars
|
239.283
|
3946615
|
16494
|
100.0
|
1.00
|
1.00
|
100.0
|
|
Canada
|
Dollars
|
25.379
|
472498
|
15258
|
915
|
1.22
|
1.36556
|
89.4
|
|
Norway
|
Kronor
|
4.148
|
497835
|
13913
|
84.4
|
8.626
|
8.53249
|
101.1
|
|
Luxembourg
|
Francs
|
0.366
|
211 786
|
13416
|
81.3
|
43.13
|
58.85769
|
73.3
|
|
Sweden
|
Kronor
|
8.350
|
862522
|
12679
|
719
|
8.147
|
8.54597
|
95.3
|
|
Denmark
|
Kroner
|
5.114
|
612869
|
12234
|
74.2
|
9.796
|
10.5083
|
93.2
|
|
Germany
|
D.Mark
|
61.024
|
1 839910
|
12 169
|
73.8
|
2.478
|
2.91751
|
84.9
|
|
Japan
|
Yen
|
120.754
|
316114000
|
11795
|
71.5
|
221.9
|
236.61622
|
93.8
|
|
Australia
|
Dollars
|
15.752
|
228161
|
11723
|
71.1
|
1.236
|
1.43113
|
86.3
|
|
Finland
|
Markkaa
|
4.901
|
335394
|
11464
|
69.5
|
5.97
|
6.15161
|
97.0
|
|
France
|
Francs
|
55.173
|
4585338
|
11434
|
69.3
|
7.269
|
8.90463
|
81.6
|
|
Netherlands
|
Guilders
|
14.488
|
415061
|
11256
|
68.2
|
2.545
|
3.29059
|
77.4
|
|
United Kingdom
|
Pounds
|
56.618
|
350450
|
10905
|
66.1
|
0.5676
|
0.77183
|
73.5
|
|
Austria
|
Schillings
|
7.555
|
1366640
|
10895
|
66.1
|
16.6
|
20.49934
|
81.0
|
|
Italy
|
Lire
|
57.141
|
805754000
|
10827
|
65.6
|
1302.0
|
1897.54
|
68.6
|
|
Belgium
|
Francs
|
9.858
|
4695382
|
10671
|
64.7
|
44.63
|
58.85769
|
75.8
|
|
Hong Kong
|
Dollars
|
5.460
|
260752
|
10204
|
61.9
|
4.680
|
7.791
|
60.1
|
|
New Zealand
|
Dollars
|
3.254
|
44255
|
10047
|
60.9
|
1.354
|
2.00189
|
67.6
|
|
Spain
|
Pesetas
|
38.602
|
27929695
|
7589
|
46.0
|
95.34
|
169.26488
|
56.3
|
|
Ireland
|
Pounds
|
3.540
|
17254
|
6740
|
40.9
|
0.7231
|
0.9372
|
77.2
|
|
Mauritius
|
Rupees
|
0.990
|
16265
|
5886
|
35.7
|
2.7913
|
15.44
|
18.1
|
|
Greece
|
Drachmas
|
9.989
|
4527150
|
5861
|
35.5
|
77.33
|
138.56724
|
55.8
|
|
Portugal
|
Escudos
|
9.648
|
3557800
|
5568
|
33.8
|
66.23
|
170.68936
|
38.8
|
|
Hungary
|
Forint
|
10.649
|
945462
|
5 140
|
31.2
|
17.27
|
49.6494
|
34.8
|
|
Yugoslavia
|
New Dinars
|
22.361
|
12305 121
|
4 810
|
29.2
|
114.4
|
272.31323
|
42.0
|
|
Iran (Islamic Rep
|
Rials
|
47.820
|
15275716
|
4619
|
28.0
|
69.16
|
87.967
|
78.6
|
|
Poland
|
Zlotys
|
37.203
|
10462078
|
4039
|
24.5
|
69.62
|
145.8323
|
47.7
|
|
Korea
|
Won
|
41.210
|
75348652
|
3979
|
24.1
|
459.5
|
870.027
|
52.8
|
|
Turkey
|
Liras
|
49.870
|
27509100
|
3599
|
21.8
|
153.3
|
521.983
|
29.4
|
|
Tunisia
|
Dinars
|
7.260
|
6860
|
3446
|
20.9
|
0.2742
|
0.83
|
33.0
|
|
Egypt
|
Pounds
|
48.500
|
38320
|
2794
|
16.9
|
0.2828
|
0.70
|
40.4
|
|
Cameroon
|
CFA francs
|
10.190
|
4528000
|
2724
|
16.5
|
163.1
|
449.26
|
36.3
|
|
Botswana
|
Pula
|
1.090
|
1692
|
2671
|
16.2
|
0.5813
|
1.90
|
30.6
|
|
Thailand
|
Bhat
|
51.300
|
1096486
|
2 641
|
16.0
|
8.094
|
27.13
|
29.8
|
|
Congo
|
CFA francs
|
1.740
|
970850
|
2559
|
15.5
|
218.1
|
449.26
|
48.5
|
|
Morocco
|
Dirhams
|
21.940
|
119658
|
2371
|
14.4
|
2.3
|
10.06
|
22.9
|
|
Swaziland
|
Emalangeni
|
0.650
|
747
|
2344
|
14.2
|
0.4904
|
212
|
211
|
|
Sri Lanka
|
Rupees
|
15.840
|
155092
|
1 852
|
11.2
|
5.288
|
27.16
|
19.5
|
|
Philippines
|
Pesos
|
54.670
|
616658
|
1 791
|
10.9
|
6.297
|
18.738
|
33.6
|
|
Cote d'lvoire
|
CFA francs
|
9.810
|
3 137592
|
1 710
|
10.4
|
187.1
|
449.26
|
41.6
|
|
Zimbabwe
|
Dollars
|
8.380
|
8099
|
1684
|
10.2
|
0.5739
|
1.61
|
35.6
|
|
Pakistan
|
Rupees
|
97.670
|
492940
|
1342
|
8.1
|
3.761
|
15.928
|
23.6
|
|
Senegal
|
CFA francs
|
6.440
|
1 186900
|
1334
|
8.1
|
138.2
|
449.26
|
30.8
|
|
Benin
|
CFA francs
|
3.930
|
499848
|
1 333
|
8.1
|
95.45
|
449.26
|
21.2
|
|
Kenya
|
Shillings
|
20.330
|
98285
|
995
|
6.0
|
4.859
|
16.43
|
29.6
|
|
Nigeria
|
Naira
|
95.220
|
80309
|
980
|
5.9
|
0.8603
|
0.89
|
96.7
|
|
Zambia
|
Kwacha
|
6.670
|
6333
|
938
|
5.7
|
1.012
|
3.14
|
32.2
|
|
Bangladesh
|
Taka
|
98.660
|
497542
|
830
|
5.0
|
6.075
|
31.0
|
19.6
|
|
India
|
Rupees
|
755.000
|
2640990
|
749
|
4.5
|
4.667
|
12.37
|
37.7
|
|
Rwanda
|
Francs
|
6.070
|
151746
|
676
|
4.1
|
36.98
|
101.26
|
36.5
|
|
Madagascar
|
Francs
|
9.980
|
1 553400
|
631
|
3.8
|
246.7
|
662.48
|
37.2
|
|
Malawi
|
Kwacha
|
7.060
|
2020
|
630
|
3.8
|
0.4544
|
1.72
|
26.4
|
|
Sierra Leone
|
Leones
|
3.600
|
4413
|
630
|
3.8
|
1.9467
|
5.09
|
38.2
|
|
United Rep. Tanzania
|
Shillings
|
21.730
|
111831
|
418
|
2.5
|
12.31
|
17.47
|
70.5
|
|
Mali
|
CFA francs
|
8.210
|
518521
|
365
|
2.2
|
173.2
|
449.26
|
38.5
|
|
Ethiopia
|
Birr
|
43.350
|
9881
|
301
|
1.8
|
0.7562
|
2.07
|
36.5
|
TABLE C. NUMBER OF COUNTRIES
FROM DIFFERENT CONTINENTS IN EACH GROUPING ACCORDING TO THEIR
REAL GDP PER CAPITA LEVELS in 1985
|
Country GDP
p.c. groupings
|
North America
|
Europe
|
Africa
|
Asia
|
|
High
|
2
|
12
|
-
|
4
|
|
Middle
|
-
|
8
|
2
|
2
|
|
Lower-middle
|
-
|
-
|
8
|
3
|
|
Low
|
-
|
-
|
12
|
3
|
TABLE D. SHARE OF COUNTRIES
ACCORDING TO BASIC INDICATORS, 1985
(Total of 56 countries = 100)
|
Country or
area
|
Population
(1)
|
Area
(2)
|
Real GDP
(3)
|
|
Australia
|
0.661
|
15.388
|
1.528
|
|
Austria
|
0.317
|
0.168
|
0.681
|
|
Bangladesh
|
4.143
|
0.288
|
0.678
|
|
Belgium
|
0.414
|
0.061
|
0.870
|
|
Benin
|
0.165
|
0.225
|
0.043
|
|
Botswana
|
0.046
|
1.165
|
0.024
|
|
Cameroon
|
0.428
|
0.952
|
0.230
|
|
Canada
|
1.065
|
19.971
|
3.204
|
|
Congo
|
0.073
|
0.685
|
0.037
|
|
Cote d'lvoire
|
0.412
|
0.646
|
0.139
|
|
Denmark
|
0.215
|
0.086
|
0.518
|
|
Egypt
|
2.036
|
2.005
|
1.121
|
|
Ethiopia
|
1.820
|
2.446
|
0.108
|
|
Finland
|
0.206
|
0.675
|
0.465
|
|
France
|
2.316
|
1.095
|
5.219
|
|
Germany
|
2.563
|
0.498
|
6.143
|
|
Greece
|
0.419
|
0.264
|
0.484
|
|
Hong Kong
|
0.229
|
0.002
|
0.461
|
|
Hungary
|
0.447
|
0.186
|
0.453
|
|
India
|
31.697
|
6.581
|
4.681
|
|
Iran (Islamic Rep. of)
|
2.008
|
3.299
|
1.827
|
|
Poland
|
1.562
|
0.626
|
1.243
|
|
Portugal
|
0.405
|
0.184
|
0.444
|
|
Rwanda
|
0.255
|
0.053
|
0.034
|
|
Senegal
|
0.270
|
0.393
|
0.071
|
|
Sierra Leone
|
0.151
|
0.144
|
0.019
|
|
Spain
|
1.621
|
1.011
|
2.424
|
|
Sri Lanka
|
0.665
|
0.131
|
0.243
|
|
Swaziland
|
0.027
|
0.035
|
0.013
|
|
Sweden
|
0.351
|
0.901
|
0.876
|
|
Thailand
|
2.154
|
1.029
|
1.121
|
|
Turkey
|
2.094
|
1.563
|
1.485
|
|
United Kingdom
|
2.378
|
0.489
|
5.108
|
|
United Rep. Tanzania
|
0.912
|
1.892
|
0.075
|
|
United States
|
10.046
|
18.763
|
32.649
|
|
Yugoslavia
|
0.939
|
0.512
|
0.890
|
|
Zambia
|
0.280
|
1.507
|
0.052
|
|
Zimbabwe
|
0.352
|
0.782
|
0.117
|
|
Total of 56 countries
|
100.000
|
100.000
|
100.000
|
|
