Table 4.9 | Structure of demand
             
  About the data   Definitions   Sources

 
 

Household final consumption expenditure

   

% of GDP

  
1990 2003

General government final consumption expenditure

% of GDP

  
1990 2003

Gross capital formation

     


% of GDP

  
1990 2003

Exports of goods and services

    

 
% of GDP

  
1990 2003

Imports of goods and services

     


% of GDP

  
1990 2003

Gross domestic savings

   


% of GDP

     
1990 2003
 
Afghanistan .. 108 .. 9 .. 16 .. 57 .. 89 .. -16
Albania 61 89 19 9 29 25 15 19 23 42 21 2
Algeria 57 41 16 14 29 30 23 39 25 24 27 45
Angola 36 63 35 ..a 12 32 39 71 21 67 30 37
Argentina 77 63 3 11 14 15 10 25 5 14 20 26
Armenia 46 83 18 10 47 25 35 32 46 50 36 7
Australia 59 60 19 18 22 25 17 20 17 22 22 22
Austria 55 57 19 19 25 23 40 52 38 50 26 25
Azerbaijan 51 63 18 12 27 49 44 43 39 67 31 25
Bangladesh 86 77 4 5 17 23 6 14 14 20 10 18
Belarus 47 59 24 21 27 24 46 66 44 70 29 20
Belgium 55 55 20 23 22 20 71 82 69 80 24 22
Benin 87 81 11 14 14 18 14 14 26 27 2 6
Bolivia 77 74 12 17 13 11 23 24 24 25 11 10
Bosnia and Herzegovina .. 92 .. 22 .. 20 .. 25 .. 59 .. -14
Botswana 33 27 24 36 37 28 55 45 50 34 43 38
Brazil 59 59 19 19 20 18 8 17 7 13 21 22
Bulgaria 60 69 18 19 26 22 33 53 37 63 22 12
Burkina Faso 82 83 13 13 18 19 11 9 24 23 5 4
Burundi 95 87 11 9 15 15 8 7 28 18 -5 4
Cambodia 91 81 7 7 8 22 6 62 13 71 2 13
Cameroon 67 71 13 12 18 17 20 26 17 25 21 17
Canada 56 56 23 19 21 20 26 42 26 37 21 25
Central African Republic 86 75 15 13 12 18 15 24 28 31 -1 12
Chad 88 71 10 8 16 53 14 21 28 53 2 21
Chile 62 61 10 12 25 24 35 36 31 33 28 27
China 50 40 12 13 35 44 18 34 14 32 38 47
Hong Kong, China 58 57 7 11 28 23 132 170 124 161 35 32
Colombia 66 65 9 21 19 15 21 21 15 23 24 14
Congo, Dem. Rep. 79 92 12 4 9 7 30 19 29 22 9 4
Congo, Rep. 62 36 14 17 16 23 54 78 46 53 24 47
Costa Rica 61 67 18 15 27 20 35 47 41 49 21 18
Côte d'Ivoire 72 69 17 8 7 10 32 47 27 34 11 23
Croatia 75 59 24 21 10 30 78 47 86 57 2 21
Cuba .. .. .. .. .. .. .. .. .. .. .. ..
Czech Republic 49 51 23 24 25 28 45 63 43 65 28 25
Denmark 49 47 26 27 20 20 36 44 31 37 25 26
Dominican Republic 80 72 4 7 25 23 34 52 44 54 15 21
Ecuador 68 68 11 10 21 28 33 24 32 29 22 23
Egypt, Arab Rep. 73 72 11 13 29 17 20 22 33 24 16 15
El Salvador 89 89 10 11 14 16 19 27 31 43 1 0
Eritrea 104 111 22 52 8 22 11 14 45 99 -26 -63
Estonia 62 58 16 19 30 31 60 75 54 83 22 23
Ethiopia 74 75 19 24 12 21 8 17 12 37 7 1
Finland 51 52 22 22 29 19 23 37 24 30 27 26
France 55 55 22 24 23 19 21 26 22 25 22 21
Gabon 50 55 13 ..a 22 24 46 62 31 41 37 45
Gambia, The 76 74 14 11 22 19 60 41 72 45 11 15
Georgia 65 81 10 9 31 24 40 32 46 46 25 10
Germany 57 59 20 19 24 18 25 36 25 32 24 22
Ghana 85 77 9 12 14 23 17 40 26 52 6 11
Greece 72 67 15 16 23 26 18 20 28 28 13 18
Guatemala 84 90 7 5 14 17 21 16 25 28 10 5
Guinea 73 85 9 8 18 10 31 22 31 25 18 7
Guinea-Bissau 87 88 10 13 30 13 10 30 37 44 3 -1
Haiti 81 99 8 ..a 13 25 18 13 20 37 11 1
Honduras 67 74 14 14 23 29 36 37 40 54 20 12
Hungary 61 67 11 11 25 24 31 65 29 68 28 22
India 66 65 12 13 24 24 7 15 9 16 23 22
Indonesia 59 69 9 9 31 16 25 31 24 26 32 22
Iran, Islamic Rep. 62 43 11 14 29 41 22 25 24 23 27 43
Iraq .. .. .. .. .. .. .. .. .. .. .. ..
Ireland 58 44 16 15 21 22 57 94 52 75 26 41
Israel 56 60 30 31 25 16 35 37 45 44 14 9
Italy 58 60 20 20 22 20 20 25 20 25 22 20
Jamaica 65 73 13 15 26 30 48 41 52 59 22 12
Japan 53 57 13 18 33 24 10 12 10 10 34 26
Jordan 74 80 25 23 32 23 62 45 93 70 1 -3
Kazakhstan 52 56 18 12 32 27 74 50 75 44 30 33
Kenya 67 74 19 18 20 13 26 25 31 30 14 8
Korea, Dem. Rep. .. .. .. .. .. .. .. .. .. .. .. ..
Korea, Rep. 55 55 10 13 37 29 28 38 29 36 35 32
Kuwait 57 56 39 26 18 9 45 48 58 40 5 18
Kyrgyz Republic 71 71 25 17 24 16 29 38 50 42 4 12
Lao PDR .. 75 10 5 .. 20 11 26 25 25 .. 21
Latvia 53 62 9 18 40 31 48 47 49 57 39 21
Lebanon 140 96 25 13 18 17 18 13 100 39 -64 -9
Lesotho 138 106 14 18 53 30 17 41 122 95 -52 -24
Liberia .. .. .. .. .. .. .. .. .. .. .. ..
Libya 48 58 24 17 19 14 40 48 31 37 27 26
Lithuania 57 64 19 20 33 21 52 54 61 60 24 16
Macedonia, FYR 72 85 19 12 19 22 26 35 36 53 9 3
Madagascar 86 83 8 9 17 18 17 22 28 32 6 8
Malawi 72 85 15 20 23 8 24 28 33 41 13 -5
Malaysia 52 44 14 14 32 21 75 114 72 93 35 42
Mali 80 71 14 10 23 23 17 26 34 31 6 19
Mauritania 69 78 26 19 20 45 46 34 61 76 5 3
Mauritius 64 62 13 13 31 23 64 60 71 57 24 25
Mexico 70 69 8 13 23 20 19 28 20 30 22 18
Moldova 77 95 ..a 18 25 22 49 54 51 88 23 -12
Mongolia 58 63 32 19 38 31 24 68 53 80 9 18
Morocco 65 59 16 21 25 24 27 32 32 36 19 20
Mozambique 92 77 14 12 22 28 8 23 36 39 -6 11
Myanmar 89 .. ..a .. 13 15 3 .. 5 .. 11 ..
Namibia 51 56 31 29 34 23 52 39 67 47 18 15
Nepal 84 76 9 10 18 26 11 17 22 29 7 14
Netherlands 50 50 24 25 23 21 55 63 51 58 27 26
New Zealand 61 60 19 18 20 21 27 32 27 31 20 23
Nicaragua 59 73 44 16 19 38 25 24 46 51 -2 11
Niger 84 84 15 11 8 14 15 16 22 25 1 5
Nigeria 56 45 15 23 15 23 43 50 29 41 29 32
Norway 49 46 21 23 23 18 40 41 34 28 30 31
Oman 27 43 38 23 13 13 53 57 31 36 35 34
Pakistan 74 73 15 12 19 16 16 21 23 20 11 16
Panama 57 63 18 11 17 26 87 59 79 58 25 27
Papua New Guinea 59 .. 25 .. 24 .. 41 .. 49 .. 16 ..
Paraguay 77 88 6 7 23 20 33 32 40 47 17 5
Peru 74 71 8 10 17 19 16 18 14 18 18 19
Philippines 72 72 10 11 24 19 28 48 33 51 18 16
Poland 48 70 19 16 26 19 29 21 22 26 33 14
Portugal 63 61 16 21 28 25 33 30 40 38 21 18
Puerto Rico 65 .. 15 .. 17 .. 78 81 101 100 21 ..
Romania 66 76 13 9 30 21 17 33 26 39 21 15
Russian Federation 49 53 21 16 30 20 18 32 18 21 30 31
Rwanda 84 85 10 14 15 20 6 9 14 28 6 1
Saudi Arabia 47 33 29 25 15 19 41 47 32 24 24 42
Senegal 76 77 15 15 14 20 25 28 30 41 9 8
Serbia and Montenegro .. 86 .. 19 .. 18 .. 22 .. 45 .. -5
Sierra Leone 84 92 8 20 10 16 22 22 24 50 9 -12
Singapore 47 41 10 12 36 13 .. .. .. .. 43 47
Slovak Republic 54 55 22 21 33 25 27 78 36 80 24 24
Slovenia 55 53 19 22 17 25 84 60 74 60 26 25
Somalia 112 .. ..a .. 16 .. 10 .. 38 .. -13 ..
South Africa 57 62 20 19 17 17 24 28 19 26 23 19
Spain 60 58 17 18 27 26 16 28 20 30 23 24
Sri Lanka 77 76 10 8 23 22 29 36 38 42 14 16
Sudan .. 75 .. ..a .. 21 .. 16 .. 12 .. 25
Swaziland 61 66 19 25 20 19 77 84 76 94 20 9
Sweden 49 49 27 28 24 16 30 44 29 37 24 23
Switzerland 57 61 11 12 31 20 36 44 34 37 32 27
Syrian Arab Republic 69 59 14 11 17 24 28 40 28 33 17 31
Tajikistan 74 91 9 9 25 19 28 60 35 79 18 0
Tanzaniab 81 79 18 11 26 19 13 18 38 27 1 10
Thailand 57 57 9 11 41 25 34 66 42 59 34 32
Togo 71 85 14 10 27 19 34 34 45 47 15 5
Trinidad and Tobago 59 62 12 10 13 19 45 50 29 41 29 28
Tunisia 58 62 16 17 33 25 44 43 51 47 26 21
Turkey 69 67 11 14 24 23 13 28 18 31 20 20
Turkmenistan 49 55 23 13 40 27 .. 41 .. 42 28 32
Uganda 92 78 8 15 13 21 7 12 19 26 1 7
Ukraine 57 60 17 16 28 19 28 53 29 48 26 24
United Arab Emirates 39 .. 16 .. 20 .. 65 .. 40 .. 45 ..
United Kingdom 63 66 20 21 20 16 24 25 27 28 18 13
United States 67 71 17 15 18 18 10 10 11 14 16 14
Uruguay 70 73 12 12 12 13 24 26 18 23 18 15
Uzbekistan 61 57 25 19 32 17 29 37 48 30 13 24
Venezuela, RB 62 68 8 8 10 9 40 31 20 15 30 25
Vietnam 84 66 12 7 13 35 36 60 45 68 3 27
West Bank and Gaza .. 84 .. 53 .. 3 .. 10 .. 49 .. -37
Yemen, Rep. 74 74 18 14 15 17 14 31 20 36 9 12
Zambia 64 67 19 15 17 26 36 21 37 28 17 19
Zimbabwe 63 73 19 17 17 8 23 24 23 22 18 11
World 60w 62w 17w 17w 23w 21w 19w 24w 19w 24w 23w 21w
Low income 70 67 13 13 21 23 13 21 17 24 18 20
Middle income 60 57 14 15 26 25 22 33 21 30 27 28
Lower middle income 58 55 14 15 28 28 19 31 19 29 28 30
Upper middle income 63 62 13 15 21 19 29 37 25 32 24 24
Low & middle income 61 59 14 14 25 25 21 31 20 29 25 27
East Asia & Pacific 53 47 12 12 34 38 23 42 22 39 35 41
Europe & Central Asia 56 62 17 16 27 22 24 35 24 35 26 22
Latin America & Carib. 67 65 12 15 19 18 17 24 15 22 22 21
Middle East & N. Africa 60 50 20 18 23 25 31 34 33 27 20 32
South Asia 69 67 11 12 23 23 9 16 12 18 20 21
Sub-Saharan Africa 64 65 18 18 17 19 27 32 26 33 19 18
High income 60 63 17 18 23 20 19 22 19 23 23 20
Europe EMU 57 59 20 21 24 20 27 33 28 31 23 22

a. Data on general government .nal consumption expenditure are not available separately; they are included in household .nal consumption expenditure. 
b. Data cover mainland Tanzania only.

 
 
          
 About the data
   

Gross domestic product (GDP) from the expenditure side is made up of household final consumption expenditure, general government final consumption expenditure, gross capital formation (private and public investment in fixed assets, changes in inventories, and net acquisitions of valuables), and net exports (exports minus imports) of goods and services. Such expenditures are recorded in purchaser prices and include net taxes on products.

   Because policymakers have tended to focus on fostering the growth of output, and because data on production are easier to collect than data on spending, many countries generate their primary estimate of GDP using the production approach. Moreover, many countries do not estimate all the separate components of national expenditures but instead derive some of the main aggregates indirectly using GDP (based on the production approach) as the control total.

   Household final consumption expenditure (private consumption in the 1968 System of National Accounts, or SNA) is often estimated as a residual, by subtracting from GDP all other known expenditures. The resulting aggregate may incorporate fairly large discrepancies. When household consumption is calculated separately, many of the estimates are based on household surveys, which tend to be one-year studies with limited coverage. Thus the estimates quickly become outdated and must be supplemented by estimates using price- and quantity-based statistical procedures. Complicating the issue, in many developing countries the distinction between cash outlays for personal business and those for household use may be blurred. World Development Indicators includes in household consumption the expenditures of nonprofit institutions serving households.

   General government final consumption expenditure (general government consumption in the 1968 SNA) includes expenditures on goods and services for individual consumption as well as those on services for collective consumption. Defense expenditures, including those on capital outlays (with certain exceptions), are treated as current spending.

   Gross capital formation (gross domestic investment in the 1968 SNA) consists of outlays on additions to the economy’s fixed assets plus net changes in the level of inventories. It is generally obtained from reports by industry of acquisition and distinguishes only the broad categories of capital formation. The 1993 SNA recognizes a third category of capital formation: net acquisitions of valuables. Included in gross capital formation under the 1993 SNA guidelines are capital outlays on defense establishments that may be used by the general public, such as schools, airfields, and hospitals, and intangibles such as computer software and mineral exploration outlays. Data on capital formation may be estimated from direct surveys of enterprises and administrative records or based on the commodity flow method using data from production, trade, and construction activities. The quality of data on fixed capital formation by government depends on the quality of government accounting systems (which tend to be weak in developing countries). Measures of fixed capital formation by households and corporations—particularly capital outlays by small, unincorporated enterprises—are usually unreliable.

   Estimates of changes in inventories are rarely complete but usually include the most important activities or commodities. In some countries these estimates are derived as a composite residual along with household final consumption expenditure. According to national accounts conventions, adjustments should be made for appreciation of the value of inventory holdings due to price changes, but this is not always done. In highly inflationary economies this element can be substantial.

   Data on exports and imports are compiled from customs reports and balance of payments data. Although the data from the payments side provide reasonably reliable records of cross-border transactions, they may not adhere strictly to the appropriate definitions of valuation and timing used in the balance of payments or correspond to the change-of-ownership criterion. This issue has assumed greater significance with the increasing globalization of international business. Neither customs nor balance of payments data usually capture the illegal transactions that occur in many countries. Goods carried by travelers across borders in legal but unreported shuttle trade may further distort trade statistics.

   Domestic savings, a concept used by the World Bank, represent the difference between GDP and total consumption. Domestic savings also satisfy the fundamental identity: exports minus imports equal domestic savings minus capital formation. Domestic savings differ from savings as defined in the national accounts; the SNA concept of savings represents the difference between disposable income and consumption. For further discussion of the problems in compiling national accounts, see Srinivasan (1994), Heston (1994), and Ruggles (1994). For a classic analysis of the reliability of foreign trade and national income statistics, see Morgenstern (1963).

   

   
 Definitions
   

• Household final consumption expenditure is the market value of all goods and services, including durable products (such as cars, washing machines, and home computers), purchased by households. It excludes purchases of dwellings but includes imputed rent for owner-occupied dwellings. It also includes payments and fees to governments to obtain permits and licenses. World Development Indicators includes in household consumption expenditure the expenditures of nonprofit institutions serving households, even when reported separately by the country. In practice, household consumption expenditure may include any statistical discrepancy in the use of resources relative to the supply of resources. • General government final consumption expenditure includes all government current expenditures for purchases of goods and services (including compensation of employees). It also includes most expenditures on national defense and security but excludes government military expenditures that potentially have wider public use and are part of government capital formation. • Gross capital formation consists of outlays on additions to the fixed assets of the economy, net changes in the level of inventories, and net acquisitions of valuables. Fixed assets include land improvements (fences, ditches, drains, and so on); plant, machinery, and equipment purchases; and the construction of roads, railways, and the like, including schools, offices, hospitals, private residential dwellings, and commercial and industrial buildings. Inventories are stocks of goods held by firms to meet temporary or unexpected fluctuations in production or sales, and “work in progress.” • Exports and imports of goods and services represent the value of all goods and other market services provided to, or received from, the rest of the world. They include the value of merchandise, freight, insurance, transport, travel, royalties, license fees, and other services, such as communication, construction, financial, information, business, personal, and government services. They exclude labor and property income (factor services in the 1968 SNA) as well as transfer payments. • Gross domestic savings are calculated as GDP less total consumption.   

   

   
 Data sources

The national accounts indicators 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 Organisation for Economic Co-operation and Development data files (see the OECD’s National Accounts of OECD Countries, Detailed Tables 1970–2002, volumes 1 and 2). The United Nations Statistics Division publishes detailed national accounts for UN member countries in National Accounts Statistics: Main Aggregates and Detailed Tables and updates in the Monthly Bulletin of Statistics.