Economic Data Descriptions

GDP (current US$)

GDP (current US$) refers to the Gross Domestic Product measured in current United States dollars. It is a key economic indicator that represents the total monetary value of all goods and services produced within a country's borders in a specific time period, usually a year. This metric provides a comprehensive overview of a nation's economic activity and is widely used for comparing the economic performance of different countries. Calculated in current US dollars, GDP (current US$) takes into account inflation and exchange rate fluctuations, allowing for meaningful international comparisons of economic output and trends.

World Bank National Accounts Data

The World Bank National Accounts data refers to a comprehensive and reliable set of economic data compiled and maintained by the World Bank. These data files encompass a wide range of economic indicators, including GDP, for countries across the globe. The World Bank collects and analyzes national accounts data from various sources, such as government agencies and international organizations, to provide accurate and up-to-date information on economic activities, expenditures, and incomes within different countries. Researchers, policymakers, and analysts often rely on World Bank National Accounts data to assess economic performance, formulate policies, and conduct cross-country comparisons.

OECD National Accounts Data Files

The OECD (Organization for Economic Co-operation and Development) National Accounts data files contain detailed economic information about OECD member countries and other major economies. These files include comprehensive data on GDP, consumption, investment, government spending, and other economic indicators. OECD collects and publishes these data to facilitate in-depth analysis of economic trends, policy evaluations, and international comparisons. Researchers, economists, and policymakers utilize OECD National Accounts data files to gain insights into the economic health of individual countries, identify patterns, and make informed decisions based on robust and standardized economic data.

Gross domestic product is the total income earned through the production of goods and services in an economic territory during an accounting period. It can be measured in three different ways: using either the expenditure approach, the income approach, or the production approach. This indicator denotes the percentage change over each previous year of the constant price (base year 2015) series in United States dollars.

Iraq IQ: GDP: USD: Gross National Income per Capita: Atlas Method data was reported at 4,770.000 USD in 2017. This records a decrease from the previous number of 5,420.000 USD for 2016. Iraq IQ: GDP: USD: Gross National Income per Capita: Atlas Method data is updated yearly, averaging 3,710.000 USD from Dec 1980 (Median) to 2017, with 23 observations. The data reached an all-time high of 7,030.000 USD in 1990 and a record low of 2,020.000 USD in 2006. Iraq IQ: GDP: USD: Gross National Income per Capita: Atlas Method data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Iraq – Table IQ.World Bank.WDI: Gross Domestic Product: Nominal. GNI per capita (formerly GNP per capita) is the gross national income, converted to U.S. dollars using the World Bank Atlas method, divided by the midyear population. GNI is the sum of value added by all resident producers plus any product taxes (less subsidies) not included in the valuation of output plus net receipts of primary income (compensation of employees and property income) from abroad. GNI, calculated in national currency, is usually converted to U.S. dollars at official exchange rates for comparisons across economies, although an alternative rate is used when the official exchange rate is judged to diverge by an exceptionally large margin from the rate actually applied in international transactions. To smooth fluctuations in prices and exchange rates, a special Atlas method of conversion is used by the World Bank. This applies a conversion factor that averages the exchange rate for a given year and the two preceding years, adjusted for differences in rates of inflation between the country, and through 2000, the G-5 countries (France, Germany, Japan, the United Kingdom, and the United States). From 2001, these countries include the Euro area, Japan, the United Kingdom, and the United States.; ; World Bank national accounts data, and OECD National Accounts data files.; Weighted average;

English Description

Here you find data on the GDP (Gross Domestic Product) in current US dollars of various countries and economies of the world. GDP is the sum of the market value of all final goods and services produced in a country in a given year. The data are from the World Bank, which is an international organization that provides financial and technical assistance to developing countries. You can explore the data by country or indicator, view charts and tables, download the data in different formats or access other tools and resources related to global development.

The are avaiable in https://data.worldbank.org/indicator/NY.GDP.MKTP.CD

## Portuguese Description

Aqui você encontra dados sobre o PIB (Produto Interno Bruto) em dólares correntes de vários países e economias do mundo. O PIB é a soma do valor de mercado de todos os bens e serviços finais produzidos em um país em um determinado ano. Os dados são provenientes do Banco Mundial, que é uma organização internacional que fornece assistência financeira e técnica para países em desenvolvimento. Você pode explorar os dados por país ou indicador, visualizar gráficos e tabelas, baixar os dados em diferentes formatos ou acessar outras ferramentas e recursos relacionados ao desenvolvimento global.

Dados disponíveis em: https://data.worldbank.org/indicator/NY.GDP.MKTP.CD

This dataset examines growth trends for the global economy and how they affect developing countries. The reports include three-year forecasts for the global economy and long-term global scenarios which look ten years into the future.

The forecast process starts with initial assumptions about advanced-economy growth and commodity price forecasts. These are used as conditioning assumptions for the first set of growth forecasts for EMDEs, which are produced using macroeconometric models, accounting frameworks to ensure national account identities and global consistency, estimates of spillovers from major economies, and high-frequency indicators. These forecasts are then evaluated to ensure consistency of treatment across similar EMDEs. This is followed by extensive discussions with World Bank country teams, who conduct continuous macroeconomic monitoring and dialogue with country authorities. Throughout the forecasting process, staff use macroeconometric models that allow the combination of judgement and consistency with model-based insights.

This collection includes only a subset of indicators from the source dataset.

Uzbekistan UZ: GDP: Deflator: Linked Series data was reported at 6,883.068 1997=100 in 2017. This records an increase from the previous number of 5,785.582 1997=100 for 2016. Uzbekistan UZ: GDP: Deflator: Linked Series data is updated yearly, averaging 789.853 1997=100 from Dec 1989 (Median) to 2017, with 29 observations. The data reached an all-time high of 6,883.068 1997=100 in 2017 and a record low of 0.003 1997=100 in 1989. Uzbekistan UZ: GDP: Deflator: Linked Series data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Uzbekistan – Table UZ.World Bank: Gross Domestic Product: Nominal. The GDP implicit deflator is calculated as the ratio of GDP in current local currency to GDP in constant local currency. This series has been linked to produce a consistent time series to counteract breaks in series over time due to changes in base years, source data and methodologies. Thus, it may not be comparable with other national accounts series in the database for historical years. The base year varies by country.; ; World Bank staff estimates based on World Bank national accounts data archives, OECD National Accounts, and the IMF WEO database.; ;

GDP (current US$)

GDP at purchaser's prices is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for the depreciation of fabricated assets or for the depletion and degradation of natural resources. Data are in current U.S. dollars. Dollar figures for GDP are converted from domestic currencies using single-year official exchange rates. For a few countries where the official exchange rate does not reflect the rate effectively applied to actual foreign exchange transactions, an alternative conversion factor is used.

United States US: GDP: Real data was reported at 17,304.984 USD bn in 2017. This records an increase from the previous number of 16,920.328 USD bn for 2016. United States US: GDP: Real data is updated yearly, averaging 8,735.853 USD bn from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 17,304.984 USD bn in 2017 and a record low of 3,078.071 USD bn in 1960. United States US: GDP: Real data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Gross Domestic Product: Real. GDP is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in constant local currency.; ; World Bank national accounts data, and OECD National Accounts data files.; ;

Exports of goods and services (% of GDP) Exports of goods and services represent the value of all goods and other market services provided to 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 compensation of employees and investment income (formerly called factor services) and transfer payments.

ID: NE.EXP.GNFS.ZS Source: World Bank national accounts data, and OECD National Accounts data files. License: CC BY-4.0 Aggregation Method: Weighted average Limitations and Exceptions: 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 components of national expenditures but instead derive some of the main aggregates indirectly using GDP (based on the production approach) as the control total. 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 corresponds 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. Long Definition: Exports of goods and services represent the value of all goods and other market services provided to 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 compensation of employees and investment income (formerly called factor services) and transfer payments. Periodicity: Annual Statistical Concept and Methodology: 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. Topic: Economic Policy & Debt: National accounts: Shares of GDP & other

Tonga TO: GDP: USD: Gross National Income per Capita: Atlas Method data was reported at 4,010.000 USD in 2017. This records a decrease from the previous number of 4,060.000 USD for 2016. Tonga TO: GDP: USD: Gross National Income per Capita: Atlas Method data is updated yearly, averaging 2,100.000 USD from Jun 1983 (Median) to 2017, with 35 observations. The data reached an all-time high of 4,360.000 USD in 2014 and a record low of 690.000 USD in 1984. Tonga TO: GDP: USD: Gross National Income per Capita: Atlas Method data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Tonga – Table TO.World Bank: Gross Domestic Product: Nominal. GNI per capita (formerly GNP per capita) is the gross national income, converted to U.S. dollars using the World Bank Atlas method, divided by the midyear population. GNI is the sum of value added by all resident producers plus any product taxes (less subsidies) not included in the valuation of output plus net receipts of primary income (compensation of employees and property income) from abroad. GNI, calculated in national currency, is usually converted to U.S. dollars at official exchange rates for comparisons across economies, although an alternative rate is used when the official exchange rate is judged to diverge by an exceptionally large margin from the rate actually applied in international transactions. To smooth fluctuations in prices and exchange rates, a special Atlas method of conversion is used by the World Bank. This applies a conversion factor that averages the exchange rate for a given year and the two preceding years, adjusted for differences in rates of inflation between the country, and through 2000, the G-5 countries (France, Germany, Japan, the United Kingdom, and the United States). From 2001, these countries include the Euro area, Japan, the United Kingdom, and the United States.; ; World Bank national accounts data, and OECD National Accounts data files.; Weighted Average;

The FAO Macro-Economic Indicators database provides country and regional-level macroeconomic indicators related to the total economy, agriculture, forestry, fishing, manufacturing, and specific sub-industries, including time series for national accounts variables like GDP and value-added. The data included in Data360 is a subset of the data available from the source. Please refer to the source for complete data and methodology details. This collection includes only a subset of indicators from the source dataset.

Hungary

Long Name: Hungary
Income Group: High income
Region: Europe & Central Asia
2-AlphaCode: HU
Balance Of Payments Manual In Use: BPM6
Capital: Budapest
Currency Unit: Hungarian forint
Government Accounting Concept: Consolidated central government
IMF Data Dissemination Standard: Special Data Dissemination Standard (SDDS)
Id: HUN
Latest Household Survey: World Health Survey, 2003
Latest Population Census: 2011
Latest Trade Data: 2018
Latestagriculturalcensus: 2010
Latestindustrialdata: 2013
National Accounts Base Year: Original chained constant price data are rescaled.
Nationalaccountsreferenceyear: 2015
SNA Price Valuation: Value added at basic prices (VAB)
Short Name: Hungary
Source Of Most Recent Income And Expenditure Data: Income survey (IS), 2014
System Of Trade: Special trade system
System of National Accounts: Country uses the 2008 System of National Accounts methodology
Table Name: Hungary
Vitalregistrationcomplete: Yes
WB2-code: HU

Europe & Central Asia

Long Name: Europe & Central Asia
2-AlphaCode: Z7
Id: ECS
Short Name: Europe & Central Asia
Special Notes: Europe and Central Asia regional aggregate (includes all income levels).
Table Name: Europe & Central Asia
WB2-code: Z7

Romania

Long Name: Romania
Income Group: High income
Lending Category: IBRD
Region: Europe & Central Asia
2-AlphaCode: RO
Balance Of Payments Manual In Use: BPM6
Capital: Bucharest
Currency Unit: New Romanian leu
Government Accounting Concept: Consolidated central government
IMF Data Dissemination Standard: Special Data Dissemination Standard Plus (SDDS Plus)
Id: ROU
Latest Household Survey: Romania Reproductive Health Survey, 2004
Latest Population Census: 2011
Latest Trade Data: 2018
Latestagriculturalcensus: 2010
Latestindustrialdata: 2013
National Accounts Base Year: Original chained constant price data are rescaled.
Nationalaccountsreferenceyear: 2005
SNA Price Valuation: Value added at basic prices (VAB)
Short Name: Romania
Source Of Most Recent Income And Expenditure Data: Income survey (IS), 2016
Special Notes: The World Bank systematically assesses the appropriateness of official exchange rates as conversion factors. In this country, multiple or dual exchange rate activity exists and must be accounted for appropriately in underlying statistics. An alternative estimate (“alternative conversion factor” - PA.NUS.ATLS) is thus calculated as a weighted average of the different exchange rates in use in the country. Doing so better reflects economic reality and leads to more accurate cross-country comparisons and country classifications by income level. For this country, this applies to the period 1987-1992. Alternative conversion factors are used in the Atlas methodology and elsewhere in World Development Indicators as single-year conversion factors.
System Of Trade: Special trade system
System of National Accounts: Country uses the 2008 System of National Accounts methodology
Table Name: Romania
Vitalregistrationcomplete: Yes
WB2-code: RO

European Union

Long Name: European Union
2-AlphaCode: EU
Id: EUU
Short Name: European Union
Special Notes: European Union aggregate.
Table Name: European Union
WB2-code: EU

The Reporting entities dataset provides information on the structure, size, and coverage of the financial institutions that are used for compiling financial soundness indicators. It provides a better understanding of the structure of the reporting entities in terms of the type of institution, number of entities, size of assets, and type of control.

Reporting entities are domestically incorporated entities but are divided into two: domestically controlled and foreign controlled. The concepts of residency criterion and control are determined based on FSI Guide methodology which is in line with international best practices such as Systems of National Accounts.

Germany DE: GDP: Growth: Household Final Consumption Expenditure per Capita data was reported at -1.528 % in 2023. This records a decrease from the previous number of 3.171 % for 2022. Germany DE: GDP: Growth: Household Final Consumption Expenditure per Capita data is updated yearly, averaging 1.355 % from Dec 1971 (Median) to 2023, with 53 observations. The data reached an all-time high of 5.289 % in 1971 and a record low of -5.930 % in 2020. Germany DE: GDP: Growth: Household Final Consumption Expenditure per Capita data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Germany – Table DE.World Bank.WDI: Gross Domestic Product: Annual Growth Rate. Annual percentage growth of household final consumption expenditure per capita, which is calculated using household final consumption expenditure in constant 2010 prices and World Bank population estimates. Household final consumption expenditure (private consumption) 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. Here, household consumption expenditure includes the expenditures of nonprofit institutions serving households, even when reported separately by the country.;World Bank national accounts data, and OECD National Accounts data files.;Weighted average;

Read me

Country, regional and world GDP in current US Dollars ($). Regional means collections of countries e.g. Europe & Central Asia.

Data

The data is sourced from the World Bank, which in turn lists as sources: World Bank national accounts data, and OECD National Accounts data files.

Costa Rica CR: GDP: % of GDP: Gross Value Added: Agriculture data was reported at 4.352 % in 2020. This records an increase from the previous number of 4.150 % for 2019. Costa Rica CR: GDP: % of GDP: Gross Value Added: Agriculture data is updated yearly, averaging 15.787 % from Dec 1960 (Median) to 2020, with 61 observations. The data reached an all-time high of 26.352 % in 1960 and a record low of 4.150 % in 2019. Costa Rica CR: GDP: % of GDP: Gross Value Added: Agriculture data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Costa Rica – Table CR.World Bank.WDI: Gross Domestic Product: Share of GDP. Agriculture corresponds to ISIC divisions 1-5 and includes forestry, hunting, and fishing, as well as cultivation of crops and livestock production. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. It is calculated without making deductions for depreciation of fabricated assets or depletion and degradation of natural resources. The origin of value added is determined by the International Standard Industrial Classification (ISIC), revision 3. Note: For VAB countries, gross value added at factor cost is used as the denominator.; ; World Bank national accounts data, and OECD National Accounts data files.; Weighted average; Note: Data for OECD countries are based on ISIC, revision 4.

Worldwide Bureaucracy Indicators

Worldwide Bureaucracy Indicators (WWBI) dataset from the World Bank.

The Worldwide Bureaucracy Indicators (WWBI) database is a unique cross-national dataset on public sector employment and wages that aims to fill an information gap, thereby helping researchers, development practitioners, and policymakers gain a better understanding of the personnel dimensions of state capability, the footprint of the public sector within the overall labor market, and the fiscal implications of the public sector wage bill. The dataset is derived from administrative data and household surveys, thereby complementing existing, expert perception-based approaches.

The World Bank introduced the dataset with a series of four blogs:

• blog1
• blog2
• blog3
• blog4

Can you replicate the figures in the blogs? Can you display any of the data more clearly than in the blogs?

Data Dictionary

wwbi_data.csv

wwbi_series.csv

wwbi_country.csv

Czech Republic CZ: GDP: % of GDP: Exports of Goods and Services data was reported at 68.973 % in 2023. This records a decrease from the previous number of 72.409 % for 2022. Czech Republic CZ: GDP: % of GDP: Exports of Goods and Services data is updated yearly, averaging 62.397 % from Dec 1990 (Median) to 2023, with 34 observations. The data reached an all-time high of 81.351 % in 2014 and a record low of 32.692 % in 1990. Czech Republic CZ: GDP: % of GDP: Exports of Goods and Services data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Czech Republic – Table CZ.World Bank.WDI: Gross Domestic Product: Share of GDP. Exports of goods and services represent the value of all goods and other market services provided to 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 compensation of employees and investment income (formerly called factor services) and transfer payments.;World Bank national accounts data, and OECD National Accounts data files.;Weighted average;

Iran is a country locating in Middle east. Iran is located in a strategic region at the crossroads of Europe, Asia, and Africa. This has made it a major center of trade and commerce for centuries. Iran is also a member of the United Nations, the Non-Aligned Movement, and the Organization of Islamic Cooperation.

Despite its rich history, large population, and abundant economic potential, Iran is a lower-middle-income country (according to the World Bank). It has large reserves of raw materials, including oil, gas, and minerals, but unfortunately, it does not fully utilize these resources.

This dataset is all the data about Iran in the world bank website. Here is a summary:

Economic data(2022/23) - GDP (current US$): 463billion - GDPpercapita(currentUS): $5,211 - Inflation, GDP deflator (annual %): 31.5% - Oil rents (% of GDP): 25.6% - Gini index: 38.8 (2019)

Social data - Population, total: 88.5 million (2022) - Population growth (annual %): 1.1% (2022) - Net migration: 28,080 (2021) - Life expectancy at birth, total (years): 77 (2021) - Human Capital Index (HCI) (scale 0-1): 0.63 (2020)

Environmental data - CO2 emissions (metric tons per capita): 7.2 (2021) - Renewable energy consumption (% of total final energy consumption): 3.6% (2021) - Forest area (% of land area): 7.8% (2020)

You can access the data in this link. There is also lots of plots and other fun tools which you should try.

[World Bank notes] The World Bank systematically assesses the appropriateness of official exchange rates as conversion factors. In Iran, multiple or dual exchange rate activity exists and must be accounted for appropriately in underlying statistics. An alternative estimate (“alternative conversion factor” - PA.NUS.ATLS) is thus calculated as a weighted average of the different exchange rates in use in Iran. Doing so better reflects economic reality and leads to more accurate cross-country comparisons and country classifications by income level. For Iran, this applies to 1972-2022. Alternative conversion factors are used in the Atlas methodology and elsewhere in World Development Indicators as single-year conversion factors.

It is noted that the reporting period for national accounts data is designated as either calendar year basis (CY) or fiscal year basis (FY). For Iran, it is fiscal year based (fiscal year-end: March 20).

Latvia LV: GDP: Growth data was reported at 4.549 % in 2017. This records an increase from the previous number of 2.209 % for 2016. Latvia LV: GDP: Growth data is updated yearly, averaging 4.978 % from Dec 1996 (Median) to 2017, with 22 observations. The data reached an all-time high of 11.889 % in 2006 and a record low of -14.402 % in 2009. Latvia LV: GDP: Growth data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Latvia – Table LV.World Bank.WDI: Gross Domestic Product: Annual Growth Rate. Annual percentage growth rate of GDP at market prices based on constant local currency. Aggregates are based on constant 2010 U.S. dollars. GDP is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources.; ; World Bank national accounts data, and OECD National Accounts data files.; Weighted average;