Table 4.1 | Growth of output
             
  About the data   Definitions   Sources

  

Gross domestic product

     

average annual 
% growth

1980-1990 1990-2003

Agriculture

     

average annual 
% growth

1980-1990 1990-2003

Industry

     

average annual 
% growth

1980-1990 1990-2003

Manufacturing

     

average annual 
% growth

1980-1990 1990-2003

Services

     

average annual 
% growth

1980-1990 1990-2003
Afghanistan .. .. .. .. .. .. .. .. .. ..
Albaniaa 1.5 4.6 1.9 3.6 2.1 2.0 .. .. -0.4 7.4
Algeriaa 2.7 2.4 4.1 3.9 2.6 2.2 4.1 -1.7 3.0 2.6
Angola 3.4 3.2 0.5 2.3 6.3 5.5 -11.1 2.3 1.4 -0.8
Argentinaa -0.7 2.3 0.7 2.8 -1.3 1.5 -0.8 0.7 0.0 2.4
Armeniaa .. 1.5 .. 1.7 .. -2.3 .. -0.8 .. -1.1
Australia 3.4 3.8 3.2 2.7 3.1 2.9 1.9 2.2 3.7 4.2
Austria 2.3 2.1 1.4 3.4 1.8 2.6 2.5 2.9 2.8 1.9
Azerbaijana .. -1.5 .. 1.6 .. 3.5 .. .. .. 1.5
Bangladesh 3.7 4.9 2.1 3.1 6.0 7.1 5.2 6.8 3.8 4.7
Belarusa .. 0.6 .. -2.3 .. 1.1 .. 2.1 .. 1.4
Belgium 2.1 2.1 2.3 2.1 2.3 1.7 .. 2.3 1.8 2.0
Benin 2.5 5.0 5.1 5.6 3.4 4.7 5.1 6.0 0.7 4.5
Bolivia -0.2 3.5 1.5 2.7 -2.2 3.4 -1.1 3.3 -0.4 3.9
Bosnia and Herzegovina .. .. .. .. .. .. .. .. .. ..
Botswanaa 11.0 5.2 2.5 -1.0 11.3 4.4 11.4 3.8 15.4 7.2
Brazila 2.7 2.6 2.8 3.6 2.0 2.1 1.6 1.6 3.3 2.7
Bulgariaa 3.4 -0.2 -2.1 2.9 5.2 -2.5 .. .. 4.7 -2.7
Burkina Fasoa 3.6 4.2 3.1 3.6 3.8 2.8 2.0 1.5 3.8 5.0
Burundia 4.4 -1.5 3.1 -0.4 4.5 -2.6 5.7 -8.0 5.6 -1.0
Cambodia .. 6.5 .. 3.1 .. 14.7 .. 17.4 .. 5.7
Cameroona 3.4 2.7 2.2 5.7 5.9 1.4 5.0 3.3 2.1 0.8
Canadaa 3.2 3.3 2.3 0.5 2.9 3.2 3.8 4.4 3.2 3.3
Central African Republica 1.4 1.8 1.6 4.0 1.4 1.7 5.0 1.0 1.0 -2.9
Chada 6.1 3.1 2.3 4.1 8.1 5.4 .. .. 6.7 2.1
Chile 4.2 5.6 5.9 2.2 3.5 5.1 3.4 3.6 2.9 4.9
China 10.3 9.6 5.9 3.5 11.1 12.3 10.8 11.7 13.5 8.8
Hong Kong, Chinaa 6.8 3.7 .. .. .. .. .. .. .. ..
Colombiaa 3.7 2.3 2.9 -1.4 5.0 1.2 3.5 -1.4 3.1 3.7
Congo, Dem. Rep.a 1.6 -3.9 2.5 0.3 0.9 -6.8 1.6 .. 2.0 -10.4
Congo, Rep. 3.3 1.8 3.4 1.6 5.2 2.8 6.8 0.4 2.2 1.0
Costa Ricaa 3.0 4.8 3.1 3.5 2.8 5.4 3.0 5.6 3.3 4.6
Côte d'Ivoire 0.7 2.4 0.3 3.1 4.4 3.0 3.0 2.2 -0.1 1.9
Croatiaa .. 1.7 .. -2.0 .. -0.4 .. -0.8 .. 3.0
Cuba .. 3.9 .. 3.5 .. 5.0 .. 4.7 .. 3.2
Czech Republica .. 1.4 .. 3.6 .. -0.1 .. .. .. 2.3
Denmarka 2.0 2.3 2.6 2.0 2.0 2.2 1.3 2.0 1.9 2.4
Dominican Republic 3.1 5.8 -1.0 3.9 3.0 6.1 2.3 4.2 4.2 6.0
Ecuador 2.1 2.0 4.5 0.1 1.3 1.2 0.1 1.1 1.8 2.9
Egypt, Arab Rep.a 5.4 4.5 2.7 3.2 3.3 4.5 .. 6.5 7.8 4.6
El Salvador 0.2 4.0 -1.1 0.9 0.2 4.8 -0.1 4.9 0.7 4.5
Eritreaa .. 3.7 .. -1.8 .. 10.3 .. 7.6 .. 4.0
Estoniaa 2.2 2.1 .. -2.3 .. 0.5 .. 7.7 .. 3.8
Ethiopiaa 2.2 4.3 0.6 1.7 3.1 4.1 2.7 4.1 4.5 6.6
Finlanda 3.3 2.8 -1.4 1.7 3.2 3.9 3.5 5.8 3.7 2.6
France 2.4 1.9 1.3 1.3 1.4 1.6 1.3 2.6 3.0 2.2
Gabon 0.9 2.3 1.2 0.0 1.5 2.4 1.8 0.6 0.1 2.6
Gambia, Thea 3.6 3.2 0.9 3.5 4.7 2.4 7.8 1.4 2.7 4.0
Georgiaa 0.4 -3.1 .. -0.2 .. 8.2 .. 2.4 .. 12.1
Germany 2.3 1.5 1.6 1.5 1.4 -0.2 .. 0.1 3.0 2.5
Ghana 3.0 4.3 1.0 3.6 3.3 3.3 3.9 -0.9 5.7 5.3
Greecea 0.9 2.7 -0.1 -0.3 1.2 2.2 .. 2.5 0.8 3.1
Guatemala 0.8 3.8 1.2 2.6 -0.2 3.7 0.0 2.5 0.9 4.4
Guineaa .. 4.2 .. 4.6 .. 4.7 .. 4.3 .. 3.3
Guinea- Bissaua 4.0 0.4 4.7 3.1 2.2 -1.5 .. -0.9 3.5 0.1
Haiti -0.2 -0.8 -0.1 -4.2 -1.7 -1.5 -1.7 -7.9 0.9 0.7
Hondurasa 2.7 3.0 2.7 2.3 3.3 3.5 3.7 4.1 2.5 3.7
Hungarya 1.3 2.4 1.7 -1.2 0.2 4.2 .. 7.3 2.1 2.0
Indiaa 5.7 5.9 3.1 2.7 6.9 6.0 7.4 6.5 6.9 7.9
Indonesia 6.1 3.5 3.6 1.9 7.3 4.2 12.8 5.5 6.5 3.3
Iran, Islamic Rep.a 1.7 3.7 4.5 3.3 3.3 -0.7 4.5 5.8 -1.0 7.5
Iraqa -6.8 .. .. .. .. .. .. .. .. ..
Irelanda 3.2 7.7 .. .. .. .. .. .. .. ..
Israela 3.5 4.3 .. .. .. .. .. .. .. ..
Italy 2.5 1.6 -0.5 0.8 1.8 1.1 2.1 1.2 2.9 1.8
Jamaica 2.0 0.8 0.9 -0.2 2.4 -0.6 2.7 -1.9 1.6 1.8
Japan 3.9 1.2 1.0 -2.8 3.9 -0.1 4.7 0.7 4.1 2.0
Jordana 2.5 4.6 6.8 -2.0 1.7 4.9 0.5 5.6 2.3 4.7
Kazakhstana .. -0.6 .. -4.5 .. -3.7 .. 6.2 .. 0.9
Kenyaa 4.2 1.8 3.3 1.2 3.9 1.5 4.9 1.7 4.9 2.8
Korea, Dem. Rep. .. .. .. .. .. .. .. .. .. ..
Korea, Rep. 9.0 5.5 2.7 1.0 11.5 5.9 12.9 7.4 8.7 5.7
Kuwait 1.3 2.9 14.7 .. 1.0 .. 2.3 .. 2.1 ..
Kyrgyz Republica .. -1.4 .. 2.8 .. -6.3 .. -11.7 .. -2.2
Lao PDRa 3.7 6.3 3.5 4.8 6.1 10.7 8.9 11.1 3.3 6.5
Latviaa 3.2 1.0 2.1 -2.6 4.6 -3.8 4.4 -3.2 3.2 4.9
Lebanona .. 4.6 .. 1.7 .. -0.4 .. -1.7 .. 2.7
Lesothoa 4.5 3.4 2.8 1.9 5.9 4.7 9.8 5.9 4.0 3.6
Liberiaa -7.0 7.0 .. .. .. .. .. .. .. ..
Libyaa -7.0 .. .. .. .. .. .. .. .. ..
Lithuaniaa .. -0.1 .. -0.4 .. 5.1 .. 7.2 .. 5.5
Macedonia, FYRa .. -0.1 .. -0.5 .. -1.5 .. -3.2 .. 1.3
Madagascara 1.1 2.1 2.5 1.8 0.9 2.1 2.1 2.2 0.3 2.4
Malawia 2.5 3.0 2.0 6.6 2.9 0.4 3.6 -1.5 3.3 2.0
Malaysia 5.3 5.9 3.4 0.8 6.8 7.1 9.3 7.9 4.9 6.2
Malia 0.8 4.9 3.3 2.9 4.3 7.6 6.8 -2.3 1.9 3.4
Mauritaniaa 1.8 4.4 1.7 3.3 4.9 2.4 -2.1 -1.1 0.4 6.1
Mauritiusa 6.0 5.2 2.6 0.3 9.2 5.3 10.4 5.0 5.1 6.2
Mexico 1.1 3.0 0.8 1.9 1.1 3.2 1.5 3.7 1.4 2.9
Moldovaa 2.8 -5.9 .. -7.2 .. -7.9 .. 0.5 .. 1.1
Mongolia 5.4 -1.3 1.4 -3.0 6.6 -0.7 .. 1.6 8.4 -3.9
Morocco 4.2 2.7 6.7 0.9 3.0 3.3 4.1 2.9 4.2 3.0
Mozambiquea -0.1 7.0 6.6 5.2 -4.5 13.9 .. 18.1 9.1 3.6
Myanmar 0.6 7.4 0.5 5.7 0.5 10.5 -0.2 7.9 0.8 7.2
Namibiaa 1.3 3.7 1.9 2.9 0.0 2.4 3.7 3.0 3.6 4.2
Nepala 4.6 4.6 4.0 2.8 8.8 6.0 9.3 6.7 3.9 5.5
Netherlands 2.4 2.7 3.3 1.7 1.7 1.6 2.6 2.1 2.5 3.3
New Zealand 1.9 3.2 4.1 2.7 1.0 2.2 .. 2.1 1.2 3.7
Nicaragua -1.9 3.7 -2.2 4.8 -2.3 3.9 -3.2 3.8 -1.5 3.1
Niger -0.1 2.8 1.7 3.2 -1.7 2.3 -2.7 3.0 -0.7 2.6
Nigeriaa 1.6 2.7 3.3 3.6 -1.1 1.3 0.7 2.2 3.7 3.4
Norway 3.0 3.5 0.1 1.4 4.0 2.9 0.2 1.4 2.5 3.9
Oman 8.4 4.3 7.9 .. 10.3 .. 20.6 .. 5.9 ..
Pakistana 6.3 3.6 4.0 3.7 7.7 3.9 8.1 4.2 6.8 4.3
Panamaa 0.5 4.2 2.5 3.7 -1.3 3.9 0.4 0.8 0.7 4.3
Papua New Guinea 1.9 2.8 1.8 2.5 1.9 3.1 0.1 3.4 2.0 0.9
Paraguay 2.5 1.7 3.6 2.5 0.3 2.2 4.0 0.5 3.1 1.0
Peru -0.1 3.9 3.0 5.2 0.1 3.8 -0.2 3.2 -0.4 3.7
Philippines 1.0 3.5 1.0 2.1 -0.9 3.5 0.2 3.1 2.8 4.3
Polanda .. 4.2 .. 1.1 .. 5.2 .. 7.7 .. 4.1
Portugal 3.2 2.6 1.5 0.0 3.4 2.9 .. 2.5 2.6 2.3
Puerto Rico 4.0 4.3 1.8 .. 3.6 .. 3.6 .. 4.6 ..
Romaniaa 1.3 0.1 1.9 -1.1 -1.0 0.1 .. .. .. 1.2
Russian Federationa .. -1.8 .. -1.7 .. -3.2 .. .. .. 0.0
Rwandaa 2.2 2.3 0.5 4.8 2.5 -0.1 2.6 -2.8 3.6 1.1
Saudi Arabia -1.3 2.1 12.5 1.6 -3.8 1.7 6.2 5.3 0.6 2.5
Senegal 3.1 4.0 2.8 1.9 4.3 5.4 4.6 4.7 2.8 4.2
Serbia and Montenegroa .. 1.4 .. .. .. .. .. .. .. ..
Sierra Leone 0.5 -3.2 3.1 -2.8 1.7 -3.2 .. .. -0.9 -2.2
Singapore 6.7 6.3 -5.3 -3.1 5.2 6.7 6.6 6.5 7.6 6.5
Slovak Republic 2.0 2.5 .. 2.6 .. 2.0 .. 5.5 .. 5.2
Sloveniaa .. 3.1 .. -0.9 .. 2.6 .. 2.7 .. 3.4
Somaliaa 2.1 .. 3.3 .. 1.0 .. -1.7 .. 0.9 ..
South Africaa 1.0 2.3 2.9 1.1 0.7 1.4 1.1 1.7 2.4 2.9
Spaina 3.1 2.8 3.1 0.7 2.8 2.6 .. 3.6 3.3 2.9
Sri Lankaa 4.0 4.7 2.2 1.5 4.6 5.8 6.3 6.6 4.7 5.3
Sudana 2.3 5.7 1.8 9.1 1.6 6.2 4.8 2.1 4.5 3.2
Swazilanda 6.9 3.1 2.1 0.7 12.8 3.3 16.9 2.5 4.8 3.7
Sweden 2.5 2.3 1.6 0.1 2.8 4.0 .. 7.7 2.5 2.0
Switzerland 2.0 1.2 .. .. .. .. .. .. .. ..
Syrian Arab Republic 1.5 4.3 -0.6 4.2 6.6 8.1 .. 8.9 1.6 2.8
Tajikistana 2.0 -5.3 -2.8 -2.2 5.5 -5.3 5.6 -4.7 3.4 -1.1
Tanzaniab .. 3.7 .. 3.5 .. 4.6 .. 3.7 .. 3.5
Thailand 7.6 3.7 3.9 1.7 9.8 4.9 9.5 6.0 7.3 3.0
Togoa 1.7 3.1 5.6 3.4 1.1 2.3 1.7 3.8 -0.3 3.4
Trinidad and Tobago -3.3 3.8 2.4 2.6 -4.3 5.3 -5.0 5.9 -3.0 3.2
Tunisiaa 3.3 4.6 2.8 2.0 3.1 4.6 3.7 5.3 3.5 5.3
Turkeya 5.3 3.1 1.2 1.0 7.7 3.0 7.9 3.8 4.5 3.3
Turkmenistana .. 0.9 .. 0.2 .. 1.6 .. .. .. 0.8
Ugandaa 2.9 6.8 2.1 3.9 5.0 11.0 3.9 12.3 2.8 8.0
Ukrainea .. -5.3 .. -3.3 .. -7.7 .. .. .. -4.9
United Arab Emiratesa -2.1 4.2 9.6 .. -4.2 .. 3.1 .. 3.6 ..
United Kingdom 3.2 2.7 2.1 -0.2 3.1 1.1 .. .. 3.1 3.4
United States 3.6 3.3 3.2 3.8 3.0 3.4 .. 3.9 3.3 3.6
Uruguaya 0.5 1.5 0.1 1.6 -0.2 -0.5 0.4 -1.6 1.0 2.5
Uzbekistana .. 1.2 .. 1.5 .. -1.5 .. .. .. 2.3
Venezuela, RB 1.1 0.5 3.4 0.8 2.0 0.6 1.4 -1.2 0.5 0.3
Vietnam 4.6 7.5 2.8 4.2 4.4 11.3 1.9 11.2 7.1 6.9
West Bank and Gazaa .. -2.0 .. -4.7 .. -8.3 .. -2.3 .. 1.2
Yemen, Rep. .. 5.8 .. 5.6 .. 6.0 .. 2.7 .. 5.7
Zambia 1.0 1.4 3.6 3.3 1.0 -2.0 4.1 1.9 -0.2 3.2
Zimbabwea 3.6 1.1 3.1 2.9 3.2 -1.1 2.8 -2.0 3.0 2.0
World 3.3w 2.8w 2.7w 1.9w 3.0w 2.3w ..w 3.2w 3.4w 3.2w
Low income 4.4 4.7 2.8 3.0 4.6 5.0 6.1 5.6 5.1 5.9
Middle income 2.8 3.5 3.6 2.2 2.6 4.2 4.0 6.1 3.1 3.5
Lower middle income 4.2 3.9 3.8 2.3 4.6 4.9 5.4 7.1 4.7 3.9
Upper middle income 0.7 2.8 2.7 1.6 -0.2 2.7 1.6 3.7 1.1 3.0
Low & middle income 3.0 3.7 3.4 2.4 2.8 4.3 4.2 6.0 3.3 3.8
East Asia & Pacific 7.9 7.6 4.9 3.1 8.6 10.0 9.5 10.0 9.3 6.8
Europe & Central Asia .. 0.6 .. -0.4 .. -0.9 .. .. .. 1.7
Latin America & Carib. 1.5 2.7 2.0 2.2 1.2 2.4 1.2 2.0 1.7 2.8
Middle East & N. Africa 1.3 3.2 4.8 2.7 -0.6 2.0 .. 4.8 2.1 4.0
South Asia 5.5 5.4 3.1 2.8 6.9 5.9 7.3 6.2 6.4 7.0
Sub-Saharan Africa 1.7 2.8 2.3 3.3 1.2 2.3 1.9 2.0 2.6 2.9
High income 3.4 2.6 1.8 1.2 3.0 1.9 .. 2.5 3.4 3.1
Europe EMU 2.4 2.0 1.1 1.1 1.7 1.1 .. 1.6 2.9 2.4

a. Components are at basic prices. 
b. Data cover mainland Tanzania only.

          
 About the data
 

An economy’s growth is measured by the change in the volume of its output or in the real incomes of persons resident in the economy. The 1993 United Nations System of National Accounts (1993 SNA) offers three plausible indicators from which to calculate growth: the volume of gross domestic product (GDP), real gross domestic income, and real gross national income. The volume of GDP is the sum of value added, measured at constant prices, by households, government, and the industries operating in the economy. This year’s edition of World Development Indicators continues to follow the practice of past editions, measuring the growth of the economy by the change in GDP measured at constant prices.

   Each industry’s contribution to growth in the economy’s output is measured by growth in the industry’s value added. In principle, value added in constant prices can be estimated by measuring the quantity of goods and services produced in a period, valuing them at an agreed set of base year prices, and subtracting the cost of intermediate inputs, also in constant prices. This double-deflation method, recommended by the 1993 SNA and its predecessors, requires detailed information on the structure of prices of inputs and outputs.

   In many industries, however, value added is extrapolated from the base year using single volume indexes of outputs or, more rarely, inputs. Particularly in the services industries, including most of government, value added in constant prices is often imputed from labor inputs, such as real wages or the number of employees. In the absence of well-defined measures of output, measuring the growth of services remains difficult.

   Moreover, technical progress can lead to improvements in production processes and in the quality of goods and services that, if not properly accounted for, can distort measures of value added and thus of growth. When inputs are used to estimate output, as is the case for nonmarket services, unmeasured technical progress leads to underestimates of the volume of output. Similarly, unmeasured changes in the quality of goods and services produced lead to underestimates of the value of output and value added. The result can be underestimates of growth and productivity improvement and overestimates of inflation. These issues are highly complex, and only a few high-income countries have attempted to introduce any GDP adjustments for these factors.

   Informal economic activities pose a particular measurement problem, especially in developing countries, where much economic activity may go unrecorded. Obtaining a complete picture of the economy requires estimating household outputs produced for home use, sales in informal markets, barter exchanges, and illicit or deliberately unreported activities. The consistency and completeness of such estimates depend on the skill and methods of the compiling statisticians and the resources available to them.


Rebasing national accounts
When countries rebase their national accounts, they update the weights assigned to various components to better reflect the current pattern of production or uses of output. The new base year should represent normal operation of the economy—that is, it should be a year without major shocks or distortions—but the choice of base year is often constrained by lack of data. Some developing countries have not rebased their national accounts for many years. Using an old base year can be misleading because implicit price and volume weights become progressively less relevant and useful.

   To obtain comparable series of constant price data, the World Bank rescales GDP and value added by industrial origin to a common reference year. In this year’s World Development Indicators, the reference year has been changed from 1995 to 2000. Because rescaling changes the implicit weights used in forming regional and income group aggregates, aggregate growth rates in this year’s World Development Indicators are not comparable with those from earlier publications with different base years.

   Rescaling may result in a discrepancy between the rescaled GDP and the sum of the rescaled components. Because allocating the discrepancy would cause distortions in the growth rates, the discrepancy is left unallocated. As a result, the weighted average of the growth rates of the components generally will not equal the GDP growth rate. The shift to a more recent reference year is to minimize the discrepancy in aggregate GDP and its components, particularly in recent years.

   Growth rates of GDP and its components are calculated using constant price data in the local currency. Regional and income group growth rates are calculated after converting local currencies to constant price U.S. dollars using an exchange rate in the common reference year. The growth rates in the table are average annual compound growth rates. Methods of computing growth rates and the alternative conversion factor are described in Statistical methods.

Changes in the System of National Accounts
World Development Indicators adopted the terminology of the 1993 SNA in 2001. Although most countries continue to compile their national accounts according to the SNA version 3 (referred to as the 1968 SNA), more and more are adopting the 1993 SNA. Some low-income countries still use concepts from the even older 1953 SNA guidelines, including valuations such as factor cost, in describing major economic aggregates. Countries that use the 1993 SNA are identified in Primary data documentation.

   

   
 Definitions
 

• Gross domestic product (GDP) at purchaser prices is the sum of gross value added by all resident producers in the economy plus any product taxes (less subsidies) not included in the valuation of output. It is calculated without deducting for depreciation of fabricated capital assets or for depletion and degradation of natural resources. Value added is the net output of an industry after adding up all outputs and subtracting intermediate inputs. The industrial origin of value added is determined by the International Standard Industrial Classification (ISIC) revision 3. • Agriculture corresponds to ISIC divisions 1–5 and includes forestry and fishing. • Industry covers mining, manufacturing (also reported separately), construction, electricity, water, and gas (ISIC divisions 10–45). • Manufacturing corresponds to industries belonging to ISIC divisions 15–37. • Services correspond to ISIC divisions 50–99. This sector is derived as a residual (from GDP less agriculture and industry) and may not properly reflect the sum of services output, including banking and financial services. For some countries it includes product taxes (minus subsidies) and may also include statistical discrepancies.

   

   
 Data sources

The national accounts data for most developing countries are collected from national statistical organizations and central banks by visiting and resident World Bank missions. The data for high-income economies come from data files of the Organisation for Economic Co-operation and Development (for information on the OECD’s national accounts series, see its monthly Main Economic Indicators). The World Bank rescales constant price data to a common reference year. The complete national accounts time series is available on the World Development Indicators 2005 CD-ROM. The United Nations Statistics Division publishes detailed national accounts for UN member countries in National Accounts Statistics: Main Aggregates and Detailed Tables and publishes updates in the Monthly Bulletin of Statistics.