Saudi Arabia GDP Index: 1999p: Producer Values: Non Oil: Private: Production: Manufacturing (Mfg) data was reported at 273.100 1994=100 in 2011. This records an increase from the previous number of 242.300 1994=100 for 2010. Saudi Arabia GDP Index: 1999p: Producer Values: Non Oil: Private: Production: Manufacturing (Mfg) data is updated yearly, averaging 87.900 1994=100 from Dec 1969 (Median) to 2011, with 43 observations. The data reached an all-time high of 273.100 1994=100 in 2011 and a record low of 18.000 1994=100 in 1969. Saudi Arabia GDP Index: 1999p: Producer Values: Non Oil: Private: Production: Manufacturing (Mfg) data remains active status in CEIC and is reported by Ministry of Economy and Planning. The data is categorized under Global Database’s Saudi Arabia – Table SA.A018: GDP Index: 1994=100: by Industry: 1999 Price.

Ma'aden had a gross domestic product (GDP) contribution of about **** billion Saudi Riyal in 2018. Ma'aden is a joint Saudi company founded in 1997, operating in the mining and infrastructure industry.

Explore macroeconomic statistics and indicators, including GDP, Gross Fixed Capital Formation, National Income, and more. This dataset covers a wide range of countries such as Afghanistan, Albania, Algeria, Australia, Brazil, China, Germany, India, United States, and many more.

GDP, Gross Domestic Product, Capita, GFCF, Gross Fixed Capital Formation, Value, Added, Gross, Output, National, Income, Manufacturing, Agriculture, Population, National Accounts

Afghanistan, Albania, Algeria, Andorra, Angola, Antigua and Barbuda, Argentina, Armenia, Australia, Austria, Azerbaijan, Bahamas, Bahrain, Bangladesh, Barbados, Belarus, Belgium, Belize, Benin, Bhutan, Bolivia, Bosnia and Herzegovina, Botswana, Brazil, Brunei, Bulgaria, Burkina Faso, Burundi, Côte d'Ivoire, Cabo Verde, Cambodia, Cameroon, Canada, Central African Republic, Chad, Chile, China, Colombia, Comoros, Congo, Costa Rica, Croatia, Cuba, Cyprus, Czechia, Democratic Republic of the Congo, Denmark, Djibouti, Dominica, Dominican Republic, Ecuador, Egypt, El Salvador, Equatorial Guinea, Eritrea, Estonia, Eswatini, Ethiopia, Fiji, Finland, France, Gabon, Gambia, Georgia, Germany, Ghana, Greece, Grenada, Guatemala, Guinea, Guinea-Bissau, Guyana, Haiti, Honduras, Hungary, Iceland, India, Indonesia, Iran, Iraq, Ireland, Israel, Italy, Jamaica, Japan, Jordan, Kazakhstan, Kenya, Kiribati, Kuwait, Kyrgyzstan, Latvia, Lebanon, Lesotho, Liberia, Libya, Liechtenstein, Lithuania, Luxembourg, Madagascar, Malawi, Malaysia, Maldives, Mali, Malta, Marshall Islands, Mauritania, Mauritius, Mexico, Micronesia, Moldova, Monaco, Mongolia, Montenegro, Morocco, Mozambique, Myanmar, Namibia, Nauru, Nepal, Netherlands, New Zealand, Nicaragua, Niger, Nigeria, North Macedonia, Norway, Oman, Pakistan, Palau, Panama, Papua New Guinea, Paraguay, Peru, Philippines, Poland, Portugal, Qatar, Romania, Russia, Rwanda, Saint Kitts and Nevis, Saint Lucia, Saint Vincent and the Grenadines, Samoa, San Marino, Sao Tome and Principe, Saudi Arabia, Senegal, Serbia, Seychelles, Sierra Leone, Singapore, Slovakia, Slovenia, Solomon Islands, Somalia, South Africa, South Sudan, Spain, Sri Lanka, Sudan, Suriname, Sweden, Switzerland, Syria, Tajikistan, Tanzania, Thailand, Timor-Leste, Togo, Tonga, Trinidad and Tobago, Tunisia, Turkmenistan, Tuvalu, Uganda, Ukraine, United Arab Emirates, United Kingdom, United States of America, Uruguay, Uzbekistan, Vanuatu, Venezuela, Yemen, Zambia, Zimbabwe

Follow data.kapsarc.org for timely data to advance energy economics research.

PKB z rolnictwa w Arabii Saudyjskiej wzrósł do 30729 mln SAR w drugim kwartale 2025 r. z 30014 mln SAR w pierwszym kwartale 2025 r. PKB z rolnictwa Arabii Saudyjskiej - dane bieżące, poprzednie wartości, historyczne maksimum i minimum, prognoza krótkoterminowa i długoterminowa, kalendarz ekonomiczny, konsensus ankiety i wiadomości.

Explore the World Competitiveness Ranking dataset for 2016, including key indicators such as GDP per capita, fixed telephone tariffs, and pension funding. Discover insights on social cohesion, scientific research, and digital transformation in various countries.

Social cohesion, The image abroad of your country encourages business development, Scientific articles published by origin of author, International Telecommunication Union, World Telecommunication/ICT Indicators database, Data reproduced with the kind permission of ITU, National sources, Fixed telephone tariffs, GDP (PPP) per capita, Overall, Exports of goods - growth, Pension funding is adequately addressed for the future, Companies are very good at using big data and analytics to support decision-making, Gross fixed capital formation - real growth, Economic Performance, Scientific research legislation, Percentage of GDP, Health infrastructure meets the needs of society, Estimates based on preliminary data for the most recent year., Singapore: including re-exports., Value, Laws relating to scientific research do encourage innovation, % of GDP, Gross Domestic Product (GDP), Health Infrastructure, Digital transformation in companies is generally well understood, Industrial disputes, EE, Female / male ratio, State ownership of enterprises, Total expenditure on R&D (%), Score, Colombia, Estimates for the most recent year., Percentage change, based on US$ values, Number of listed domestic companies, Tax evasion is not a threat to your economy, Scientific articles, Tax evasion, % change, Use of big data and analytics, National sources, Disposable Income, Equal opportunity, Listed domestic companies, Government budget surplus/deficit (%), Pension funding, US$ per capita at purchasing power parity, Estimates; US$ per capita at purchasing power parity, Image abroad or branding, Equal opportunity legislation in your economy encourages economic development, Number, Article counts are from a selection of journals, books, and conference proceedings in S&E from Scopus. Articles are classified by their year of publication and are assigned to a region/country/economy on the basis of the institutional address(es) listed in the article. Articles are credited on a fractional-count basis. The sum of the countries/economies may not add to the world total because of rounding. Some publications have incomplete address information for coauthored publications in the Scopus database. The unassigned category count is the sum of fractional counts for publications that cannot be assigned to a country or economy. Hong Kong: research output items by the higher education institutions funded by the University Grants Committee only., State ownership of enterprises is not a threat to business activities, Protectionism does not impair the conduct of your business, Digital transformation in companies, Total final energy consumption per capita, Social cohesion is high, Rank, MTOE per capita, Percentage change, based on constant prices, US$ billions, National sources, World Trade Organization Statistics database, Rank, Score, Value, World Rankings

Argentina, Australia, Austria, Belgium, Brazil, Bulgaria, Canada, Chile, China, Colombia, Croatia, Cyprus, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Iceland, India, Indonesia, Ireland, Israel, Italy, Japan, Jordan, Kazakhstan, Latvia, Lithuania, Luxembourg, Malaysia, Mexico, Mongolia, Netherlands, New Zealand, Norway, Oman, Peru, Philippines, Poland, Portugal, Qatar, Romania, Russia, Saudi Arabia, Singapore, Slovenia, South Africa, Spain, Sweden, Switzerland, Thailand, Turkey, Ukraine, United Kingdom, Venezuela

Follow data.kapsarc.org for timely data to advance energy economics research.

Produkt Krajowy Brutto (PKB) w Arabii Saudyjskiej wyniósł 1237,53 miliarda dolarów amerykańskich w 2024 roku, zgodnie z oficjalnymi danymi Banku Światowego. Wartość PKB Arabii Saudyjskiej stanowi 1,17 procent światowej gospodarki. Ta strona zawiera - PKB Arabii Saudyjskiej - wartości rzeczywiste, dane historyczne, prognozy, wykres, statystyki, kalendarz ekonomiczny i wiadomości.

Explore the Penn World Table dataset featuring key economic indicators like real GDP, population, human capital index, and more. Access detailed information and analysis for various countries.

Expenditure, GDP, PPP, output, Population, working hours, Index, Household, Consumption, Capital , IRR, prices

Albania, Algeria, Angola, Antigua and Barbuda, Argentina, Armenia, Australia, Austria, Azerbaijan, Bahamas, Bahrain, Bangladesh, Barbados, Belarus, Belgium, Belize, Benin, Bhutan, Bolivia, Bosnia and Herzegovina, Botswana, Brazil, Brunei, Bulgaria, Burkina Faso, Burundi, Côte d'Ivoire, Cabo Verde, Cambodia, Cameroon, Canada, Central African Republic, Chad, Chile, China, Colombia, Comoros, Congo, Costa Rica, Croatia, Cyprus, Denmark, Djibouti, Dominica, Dominican Republic, Ecuador, Egypt, El Salvador, Equatorial Guinea, Estonia, Eswatini, Ethiopia, Fiji, Finland, France, Gabon, Gambia, Georgia, Germany, Ghana, Greece, Grenada, Guatemala, Guinea, Guinea-Bissau, Guyana, Haiti, Honduras, Hungary, Iceland, India, Indonesia, Iran, Iraq, Ireland, Israel, Italy, Jamaica, Japan, Jordan, Kazakhstan, Kenya, Kuwait, Kyrgyzstan, Latvia, Lebanon, Lesotho, Liberia, Lithuania, Luxembourg, Madagascar, Malawi, Malaysia, Maldives, Mali, Malta, Mauritania, Mauritius, Mexico, Moldova, Mongolia, Montenegro, Morocco, Mozambique, Myanmar, Namibia, Nepal, Netherlands, New Zealand, Nicaragua, Niger, Nigeria, North Macedonia, Norway, Oman, Pakistan, Panama, Paraguay, Peru, Philippines, Poland, Portugal, Qatar, Romania, Russia, Rwanda, Saint Kitts and Nevis, Saint Lucia, Sao Tome and Principe, Saudi Arabia, Senegal, Serbia, Seychelles, Sierra Leone, Singapore, Slovakia, Slovenia, South Africa, Spain, Sri Lanka, Sudan, Suriname, Sweden, Switzerland, Syria, Tajikistan, Tanzania, Thailand, Togo, Trinidad and Tobago, Tunisia, Turkey, Turkmenistan, Uganda, Ukraine, United Arab Emirates, United Kingdom, Uruguay, Uzbekistan, Venezuela, Yemen, Zambia, Zimbabwe, World Follow data.kapsarc.org for timely data to advance energy economics research. When using these data, please refer to the following paper:Feenstra, Robert C., Robert Inklaar and Marcel P. Timmer (2015), "The Next Generation of the Penn World Table" American Economic Review, 105(10), 3150-3182, available for download at www.ggdc.net/pwt

Arabia Saudyjska odnotowała Dług publiczny do PKB na poziomie 26,20 procent Produktu Krajowego Brutto kraju w 2024 roku. Ta strona zawiera - Dług publiczny Arabii Saudyjskiej do PKB - wartości aktualne, dane historyczne, prognozy, wykres, statystyki, kalendarz ekonomiczny i wiadomości.

National accounts are a coherent set of macroeconomic indicators, which provide an overall picture of the economic situation and are widely used for economic analysis and forecasting, policy design and policy making.

The data presented in this collection are the results of a pilot exercise on the sharing selected main GDP aggregates, population and employment data collected by different international organisations. It was conducted by the Task Force in International Data Collection (TFIDC) which was established by the Inter-Agency Group on Economic and Financial Statistics (IAG).

The goal of this pilot was to develop a set of commonly shared principles and working arrangements for data cooperation that could be implemented by the international agencies. The data sets present national accounts data form various countries across the globe in one coherent folder, but users should be aware that these data are collected and validated by different organisations and not fully harmonised from a methodological point of view.

The domain consists of the following collections:

National accounts - international data cooperation (naid_10)
Annual national accounts - international data cooperation (naida_10)
	GDP and main aggregates -international data cooperation annual data (naida_10_gdp)
	Gross value added by A*10 industry - international data cooperation annual data (naida_10_a10)
	Employment and population - international data cooperation annual data (naida_10_pe)
Quarterly national accounts - international data cooperation (naidq_10)
	GDP and main aggregates - international data cooperation quarterly data (naidq_10_gdp)
	Gross value added by A*10 industry - international data cooperation quarterly data (naidq_10_a10)
	Employment and population - international data cooperation quarterly data (naidq_10_pe)
Annual sector accounts - international data cooperation (naidsa_10)
	Non-financial transactions - selected international annual data (naidsa_10_nf_tr)
	Financial balance sheets – international data cooperation (naidsa_10_f_bs)
	Financial transactions – international data cooperation (naidsa_10_f_tr)
Quarterly sector accounts - international data cooperation (naidsq_10)
	Non-financial transactions - selected international quarterly data (naidsq_10_nf_tr)
	Financial balance sheets – international data cooperation - quarterly data (naidsq_10_f_bs)
	Financial transactions – international data cooperation - quarterly data (naidsq_10_f_tr)

The table below shows for each country which is the main authority validating the data.

For Eurostat countries national accounts are compiled using ESA 2010, which is compatible with SNA 2008 which is mostly used by other countries.

Further methodological information can be found on the websites.

Provided by EUROSTAT*
EU	European Union
EA	Euro Area
BE	Belgium
BG	Bulgaria
CZ	Czech Republic
DK	Denmark
DE	Germany
EE	Estonia
IE	Ireland
EL	Greece
ES	Spain
FR	France
HR	Croatia
IT	Italy
CY	Cyprus
LV	Latvia
LT	Lithuania
LU	Luxembourg
HU	Hungary
MT	Malta
NL	Netherlands
AT	Austria
PL	Poland
PT	Portugal
RO	Romania
SI	Slovenia
SK	Slovakia
FI	Finland
SE	Sweden
IS	Iceland
LI	Liechtenstein
NO	Norway
CH	Switzerland
ME	Montenegro
MK	Republic of North Macedonia
AL	Albania
RS	Serbia
TR	Turkey
BA	Bosnia and Herzegovina
XK	Kosovo

*These countries are provided by Eurostat for all domains but for quarterly financial balance sheets and transactions, which are provided by the ECB (EU countries), OECD (OECD members) and the UNSD (other countries)

Provided by OECD
AR	Argentina
AU	Australia
BR	Brazil
CA	Canada
CL	Chile
CN	China
CO	Colombia
CR	Costa Rica
ID	Indonesia
IL	Israel
IN	India
JP	Japan
KR	Korea, Republic of
MX	Mexico
NZ	New Zealand
RU	Russian Federation
SA	Saudi Arabia
UK	United Kingdom
US	United States
ZA	South Africa

Provided by IMF
AM	Armenia
AZ	Azerbaijan
BB	Barbados
BF	Burkina Faso
BN	Brunei Darussalam
BO	Bolivia
BW	Botswana
BY	Belarus
BZ	Belize
CI	Cote d`Ivoire
CM	Cameroon
CV	Cape Verde
DO	Dominican Republic
DZ	Algeria
EC	Ecuador
EG	Egypt
GE	Georgia
GH	Ghana
GT	Guatemala
HK	Hong Kong, China
HN	Honduras
JM	Jamaica
JO	Jordan
KE	Kenya
KG	Kyrgyzstan
KH	Cambodia
LK	Sri Lanka
MA	Morocco
MD	Moldova, Republic of
MG	Madagascar
MN	Mongolia
MO	Macao
MU	Mauritius
MY	Malaysia
MZ	Mozambique
NA	Namibia
NG	Nigeria
NI	Nicaragua
OM	Oman
PA	Panama
PE	Peru
PH	Philippines
PS	Palestine, State of
PY	Paraguay
RW	Rwanda
SC	Seychelles
SG	Singapore
SN	Senegal
SV	El Salvador
TH	Thailand
TJ	Tajikistan
TN	Tunisia
TZ	Tanzania, United Republic of
UA	Ukraine
UG	Uganda
UY	Uruguay
VE	Venezuela, Bolivarian Republic
VN	Viet Nam
WS	Samoa

Provided by UNSD
AD	Andorra
AE	United Arab Emirates
AF	Afghanistan
AG	Antigua and

The United States led the ranking of the countries with the highest military spending in 2024, with 997 billion U.S. dollars dedicated to the military. That constituted almost 40 percent of the total military spending worldwide that year, which amounted to 2.7 trillion U.S. dollars. This amounted to 3.4 percent of the U.S.'s gross domestic product (GDP), placing the country lower in the ranking of military expenditure as a percentage of GDP, compared to Ukraine, Israel, Algeria, Saudi Arabia, and Russia. China was the second largest military spender, with an estimated 314 billion U.S. dollars spent, with Russia following in third. Defense budgetAccording to the U.S. Congressional Budget Office, the outlays for defense will rise to 1.1 trillion U.S. dollars by 2033. The largest parts of the budget are dedicated to the Departments of the Navy and the Air Force. The budget for the U.S. Air Force for 2024 was nearly 260 billion U.S. dollars.Global military spendingThe value of military spending globally has grown steadily in the past years and reached 2.7 trillion U.S. dollars in 2024. Reasons for this are the outbreak of the Russia-Ukraine war in 2022, the war in Gaza, as well as increasing tensions in the South China Sea. North America is by far the leading region worldwide in terms of expenditure on the military.

Abstract copyright UK Data Service and data collection copyright owner. The OECD's quarterly national accounts (QNA) dataset presents data collected from all the OECD member countries and some other major economies on the basis of a standardised questionnaire. It contains a wide selection of generally seasonally adjusted quarterly series most widely used for economic analysis. It contains a wide selection of generally seasonally adjusted quarterly series most widely used for economic analysis from 1947 or whenever available:- GDP expenditure and output approaches (current prices and volume estimates);- GDP income approach (current prices);- Gross fixed capital formation (current prices and volume estimates) broken down separately by type of asset or product and by institutional sector;- Disposable income and Real disposable income components;- Saving and net lending (current prices);- Population and Employment (in persons);- Employment by industry (in persons and hours worked);- Compensation of employees (current prices);- Household final consumption expenditure by durability (current prices and volume estimates).Please note that OECD reference year changed from 2010 to 2015 on Tuesday 3rd of December, 2019. These data were first provided by the UK Data Service in October 2006. Main Topics: The database covers:Gross Domestic Productlendingsavingincomehousehold final consumption expendituredetailed accounts for population and employmentexchange rates and purchasing power paritiestotal employment, self-employment, and employment by industry sectorGross Domestic Product by type of expenditure and by industrygross fixed capital formation by product and by institutional sectorcomponents of disposable income. 1947 2021 Afghanistan Albania Algeria Andorra Angola Antigua and Barbuda Argentina Armenia Aruba Australia Austria Azerbaijan Bahamas Bahrain Bangladesh Barbados Belarus Belgium Belize Benin Bermuda Bhutan Bolivia Bosnia and Herzegovina Botswana Brazil Brunei Darussalam Bulgaria Burkina Faso Burundi Cambodia Cameroon Canada Cape Verde Cayman Islands Central African Rep... Chad Channel Islands Chile China Colombia Comoros Congo Costa Rica Croatia Cuba Curacao Cyprus Czech Republic Denmark Djibouti Dominica Dominican Republic EMPLOYMENT EXCHANGE RATES EXPENDITURE Economic conditions... Ecuador Egypt El Salvador Equatorial Guinea Estonia Ethiopia Europe European Union Coun... Faroe Islands Finland France GROSS DOMESTIC PRODUCT Gabon Gambia Georgia Germany October 1990 Ghana Gibraltar Greece Grenada Guatemala Guinea Guinea Bissau Honduras Hong Kong Hungary INCOME INDUSTRIES Iceland India Indonesia Iran Iraq Ireland Isle of Man Israel Italy Jamaica Japan Jordan Kazakhstan Kenya Kosovo Kuwait Kyrgyzstan Latvia Lebanon Lesotho Liberia Lithuania Luxembourg Macao Macedonia Madagascar Malawi Malaysia Mali Malta Mauritania Mauritius Mexico Moldova Montenegro Morocco Mozambique Multi nation NATIONAL ACCOUNTING NATIONAL INCOME Namibia Nepal Netherlands New Zealand Nicaragua Niger Nigeria Norway Romania Russia Rwanda Saint Lucia Saint Martin Saint Vincent Saotome Saudi Arabia Senegal Serbia Seychelles Sierra Leone Singapore Slovakia Slovenia Solomon Islands Somalia South Africa South Korea Spain Sri Lanka Sudan Surinam Swaziland Switzerland Tajikistan Tanzania Thailand Togo Trinidad and Tobago Turkey Turkmenistan Uganda Ukraine United Kingdom United States Uruguay Uzbekistan Vanuatu Venezuela Vietnam Virgin Islands USA Zambia Zimbabwe

National accounts are a coherent set of macroeconomic indicators, which provide an overall picture of the economic situation and are widely used for economic analysis and forecasting, policy design and policy making.

The data presented in this collection are the results of a pilot exercise on the sharing selected main GDP aggregates, population and employment data collected by different international organisations. It was conducted by the Task Force in International Data Collection (TFIDC) which was established by the Inter-Agency Group on Economic and Financial Statistics (IAG).

The goal of this pilot was to develop a set of commonly shared principles and working arrangements for data cooperation that could be implemented by the international agencies. The data sets present national accounts data form various countries across the globe in one coherent folder, but users should be aware that these data are collected and validated by different organisations and not fully harmonised from a methodological point of view.

The domain consists of the following collections:

National accounts - international data cooperation (naid_10)
Annual national accounts - international data cooperation (naida_10)
	GDP and main aggregates -international data cooperation annual data (naida_10_gdp)
	Gross value added by A*10 industry - international data cooperation annual data (naida_10_a10)
	Employment and population - international data cooperation annual data (naida_10_pe)
Quarterly national accounts - international data cooperation (naidq_10)
	GDP and main aggregates - international data cooperation quarterly data (naidq_10_gdp)
	Gross value added by A*10 industry - international data cooperation quarterly data (naidq_10_a10)
	Employment and population - international data cooperation quarterly data (naidq_10_pe)
Annual sector accounts - international data cooperation (naidsa_10)
	Non-financial transactions - selected international annual data (naidsa_10_nf_tr)
	Financial balance sheets – international data cooperation (naidsa_10_f_bs)
	Financial transactions – international data cooperation (naidsa_10_f_tr)
Quarterly sector accounts - international data cooperation (naidsq_10)
	Non-financial transactions - selected international quarterly data (naidsq_10_nf_tr)
	Financial balance sheets – international data cooperation - quarterly data (naidsq_10_f_bs)
	Financial transactions – international data cooperation - quarterly data (naidsq_10_f_tr)

The table below shows for each country which is the main authority validating the data.

For Eurostat countries national accounts are compiled using ESA 2010, which is compatible with SNA 2008 which is mostly used by other countries.

Further methodological information can be found on the websites.

Provided by EUROSTAT*
EU	European Union
EA	Euro Area
BE	Belgium
BG	Bulgaria
CZ	Czech Republic
DK	Denmark
DE	Germany
EE	Estonia
IE	Ireland
EL	Greece
ES	Spain
FR	France
HR	Croatia
IT	Italy
CY	Cyprus
LV	Latvia
LT	Lithuania
LU	Luxembourg
HU	Hungary
MT	Malta
NL	Netherlands
AT	Austria
PL	Poland
PT	Portugal
RO	Romania
SI	Slovenia
SK	Slovakia
FI	Finland
SE	Sweden
IS	Iceland
LI	Liechtenstein
NO	Norway
CH	Switzerland
ME	Montenegro
MK	Republic of North Macedonia
AL	Albania
RS	Serbia
TR	Turkey
BA	Bosnia and Herzegovina
XK	Kosovo

*These countries are provided by Eurostat for all domains but for quarterly financial balance sheets and transactions, which are provided by the ECB (EU countries), OECD (OECD members) and the UNSD (other countries)

Provided by OECD
AR	Argentina
AU	Australia
BR	Brazil
CA	Canada
CL	Chile
CN	China
CO	Colombia
CR	Costa Rica
ID	Indonesia
IL	Israel
IN	India
JP	Japan
KR	Korea, Republic of
MX	Mexico
NZ	New Zealand
RU	Russian Federation
SA	Saudi Arabia
UK	United Kingdom
US	United States
ZA	South Africa

Provided by IMF
AM	Armenia
AZ	Azerbaijan
BB	Barbados
BF	Burkina Faso
BN	Brunei Darussalam
BO	Bolivia
BW	Botswana
BY	Belarus
BZ	Belize
CI	Cote d`Ivoire
CM	Cameroon
CV	Cape Verde
DO	Dominican Republic
DZ	Algeria
EC	Ecuador
EG	Egypt
GE	Georgia
GH	Ghana
GT	Guatemala
HK	Hong Kong, China
HN	Honduras
JM	Jamaica
JO	Jordan
KE	Kenya
KG	Kyrgyzstan
KH	Cambodia
LK	Sri Lanka
MA	Morocco
MD	Moldova, Republic of
MG	Madagascar
MN	Mongolia
MO	Macao
MU	Mauritius
MY	Malaysia
MZ	Mozambique
NA	Namibia
NG	Nigeria
NI	Nicaragua
OM	Oman
PA	Panama
PE	Peru
PH	Philippines
PS	Palestine, State of
PY	Paraguay
RW	Rwanda
SC	Seychelles
SG	Singapore
SN	Senegal
SV	El Salvador
TH	Thailand
TJ	Tajikistan
TN	Tunisia
TZ	Tanzania, United Republic of
UA	Ukraine
UG	Uganda
UY	Uruguay
VE	Venezuela, Bolivarian Republic
VN	Viet Nam
WS	Samoa

Provided by UNSD
AD	Andorra
AE	United Arab Emirates
AF	Afghanistan
AG	Antigua and

Abstract

The Future of Business Survey is a new source of information on small and medium-sized enterprises (SMEs). Launched in February 2016, the monthly survey - a partnership between Facebook, OECD, and The World Bank - provides a timely pulse on the economic environment in which businesses operate and who those businesses are to help inform decision-making at all levels and to deliver insights that can help businesses grow. The Future of Business Survey provides a perspective from newer and long-standing digitalized businesses and provides a unique window into a new mobilized economy.

Policymakers, researchers and businesses share a common interest in the environment in which SMEs operate, as well their outlook on the future, not least because young and innovative SMEs in particular are often an important source of considerable economic and employment growth. Better insights and timely information about SMEs improve our understanding of economic trends, and can provide new insights that can further stimulate and help these businesses grow.

To help provide these insights, Facebook, OECD and The World Bank have collaborated to develop a monthly survey that attempts to improve our understanding of SMEs in a timely and forward-looking manner. The three organizations share a desire to create new ways to hear from businesses and help them succeed in the emerging digitally-connected economy. The shared goal is to help policymakers, researchers, and businesses better understand business sentiment, and to leverage a digital platform to provide a unique source of information to complement existing indicators.

With more businesses leveraging online tools each day, the survey provides a lens into a new mobilized, digital economy and, in particular, insights on the actors: a relatively unmeasured community worthy of deeper consideration and considerable policy interest.

Geographic coverage

When the survey was initially launched in February 2016, it included 22 countries. When the survey was initially launched in February 2016, it included 22 countries. The Future of Business Survey is now conducted in over 90 countries in every region of the world.

Countries included in at least one wave: Albania Algeria American Samoa Andorra Angola Anguilla Antigua and Barbuda Argentina Aruba Australia Austria Azerbaijan Bahamas (the) Bangladesh Barbados Belarus Belgium Belize Benin Bolivia (Plurinational State of) Bonaire, Sint Eustatius and Saba Bosnia and Herzegovina Botswana Brazil Brunei Darussalam Bulgaria Burkina Faso Burundi Cabo Verde Cambodia Cameroon Canada Cayman Islands (the) Central African Republic (the) Chad Chile Colombia Congo (the) Curaçao Cyprus Czechia Côte d'Ivoire Denmark Djibouti Dominica Dominican Republic (the) Ecuador Egypt El Salvador Equatorial Guinea Estonia Eswatini Ethiopia Faroe Islands (the) Fiji Finland France French Polynesia Gabon Gambia (the) Germany Ghana Gibraltar Greece Grenada Guadeloupe Guam Guatemala Guernsey Guinea Guinea-Bissau Guyana Haiti Honduras Hong Kong Hungary Iceland India Indonesia Iraq Ireland Isle of Man Israel Italy Jamaica Japan Jersey Jordan Kenya Korea (the Republic of) Kuwait Lao People's Democratic Republic (the) Lebanon Lesotho Liberia Libya Liechtenstein Lithuania Luxembourg Malawi Malaysia Mali Malta Martinique Mauritania Mauritius Mayotte Mexico Monaco Montenegro Morocco Mozambique Myanmar Namibia Nepal Netherlands (the) New Caledonia New Zealand Nicaragua Niger (the) Nigeria North Macedonia Northern Mariana Islands (the) Norway Oman Pakistan Panama Papua New Guinea Paraguay Peru Philippines (the) Poland Portugal Qatar Romania Russian Federation (the) Rwanda Réunion Saint Kitts and Nevis Saint Lucia Saint Vincent and the Grenadines Samoa San Marino Sao Tome and Principe Saudi Arabia Senegal Serbia Seychelles Sierra Leone Singapore Sint Maarten (Dutch part) Slovakia Slovenia Solomon Islands South Africa Spain Sweden Switzerland Taiwan Tanzania, the United Republic of Thailand Timor-Leste Togo Tonga Trinidad and Tobago Tunisia Turkey Turks and Caicos Islands (the) Uganda United Arab Emirates (the) United Kingdom of Great Britain and Northern Ireland (the) United States of America (the) Uruguay Vanuatu Viet Nam Virgin Islands (British) Virgin Islands (U.S.) Zambia.

Analysis unit

The study describes small and medium-sized enterprises.

Universe

The target population consists of SMEs that have an active Facebook business Page and include both newer and longer-standing businesses, spanning across a variety of sectors. With more businesses leveraging online tools each day, the survey provides a lens into a new mobilized, digital economy and, in particular, insights on the actors: a relatively unmeasured community worthy of deeper consideration and considerable policy interest.

Kind of data

Sample survey data [ssd]

Sampling procedure

Twice a year in over 97 countries, the Facebook Survey Team sends the Future of Business to admins and owners of Facebook-designated small business pages. When we share data from this survey, we anonymize responses to all survey questions and only share country-level data publicly. To achieve better representation of the broader small business population, we also weight our results based on known characteristics of the Facebook Page admin population.

A random sample of firms, representing the target population in each country, is selected to respond to the Future of Business Survey each month.

Mode of data collection

Internet [int]

Research instrument

The survey includes questions about perceptions of current and future economic activity, challenges, business characteristics and strategy. Custom modules include questions related to regulation, access to finance, digital payments, and digital skills. The full questionnaire is available for download.

Response rate

Response rates to online surveys vary widely depending on a number of factors including survey length, region, strength of the relationship with invitees, incentive mechanisms, invite copy, interest of respondents in the topic and survey design.

Note: Response rates are calculated as the number of respondents who completed the survey divided by the total number of SMEs invited.

Sampling error estimates

Any survey data is prone to several forms of error and biases that need to be considered to understand how closely the results reflect the intended population. In particular, the following components of the total survey error are noteworthy:

Sampling error is a natural characteristic of every survey based on samples and reflects the uncertainty in any survey result that is attributable to the fact that not the whole population is surveyed.

Other factors beyond sampling error that contribute to such potential differences are frame or coverage error (sampling frame of page owners does not include all relevant businesses but also may include individuals that don't represent businesses), and nonresponse error.

Note that the sample is meant to reflect the population of businesses on Facebook, not the population of small businesses in general. This group of digitized SMEs is itself a community worthy of deeper consideration and of considerable policy interest. However, care should be taken when extrapolating to the population of SMEs in general. Moreover, future work should evaluate the external validity of the sample. Particularly, respondents should be compared to the broader population of SMEs on Facebook, and the economy as a whole.

National accounts are a coherent set of macroeconomic indicators, which provide an overall picture of the economic situation and are widely used for economic analysis and forecasting, policy design and policy making.

The data presented in this collection are the results of a pilot exercise on the sharing selected main GDP aggregates, population and employment data collected by different international organisations. It was conducted by the Task Force in International Data Collection (TFIDC) which was established by the Inter-Agency Group on Economic and Financial Statistics (IAG).

The goal of this pilot was to develop a set of commonly shared principles and working arrangements for data cooperation that could be implemented by the international agencies. The data sets present national accounts data form various countries across the globe in one coherent folder, but users should be aware that these data are collected and validated by different organisations and not fully harmonised from a methodological point of view.

The domain consists of the following collections:

National accounts - international data cooperation (naid_10)
Annual national accounts - international data cooperation (naida_10)
	GDP and main aggregates -international data cooperation annual data (naida_10_gdp)
	Gross value added by A*10 industry - international data cooperation annual data (naida_10_a10)
	Employment and population - international data cooperation annual data (naida_10_pe)
Quarterly national accounts - international data cooperation (naidq_10)
	GDP and main aggregates - international data cooperation quarterly data (naidq_10_gdp)
	Gross value added by A*10 industry - international data cooperation quarterly data (naidq_10_a10)
	Employment and population - international data cooperation quarterly data (naidq_10_pe)
Annual sector accounts - international data cooperation (naidsa_10)
	Non-financial transactions - selected international annual data (naidsa_10_nf_tr)
	Financial balance sheets – international data cooperation (naidsa_10_f_bs)
	Financial transactions – international data cooperation (naidsa_10_f_tr)
Quarterly sector accounts - international data cooperation (naidsq_10)
	Non-financial transactions - selected international quarterly data (naidsq_10_nf_tr)
	Financial balance sheets – international data cooperation - quarterly data (naidsq_10_f_bs)
	Financial transactions – international data cooperation - quarterly data (naidsq_10_f_tr)

The table below shows for each country which is the main authority validating the data.

For Eurostat countries national accounts are compiled using ESA 2010, which is compatible with SNA 2008 which is mostly used by other countries.

Further methodological information can be found on the websites.

Provided by EUROSTAT*
EU	European Union
EA	Euro Area
BE	Belgium
BG	Bulgaria
CZ	Czech Republic
DK	Denmark
DE	Germany
EE	Estonia
IE	Ireland
EL	Greece
ES	Spain
FR	France
HR	Croatia
IT	Italy
CY	Cyprus
LV	Latvia
LT	Lithuania
LU	Luxembourg
HU	Hungary
MT	Malta
NL	Netherlands
AT	Austria
PL	Poland
PT	Portugal
RO	Romania
SI	Slovenia
SK	Slovakia
FI	Finland
SE	Sweden
IS	Iceland
LI	Liechtenstein
NO	Norway
CH	Switzerland
ME	Montenegro
MK	Republic of North Macedonia
AL	Albania
RS	Serbia
TR	Turkey
BA	Bosnia and Herzegovina
XK	Kosovo

*These countries are provided by Eurostat for all domains but for quarterly financial balance sheets and transactions, which are provided by the ECB (EU countries), OECD (OECD members) and the UNSD (other countries)

Provided by OECD
AR	Argentina
AU	Australia
BR	Brazil
CA	Canada
CL	Chile
CN	China
CO	Colombia
CR	Costa Rica
ID	Indonesia
IL	Israel
IN	India
JP	Japan
KR	Korea, Republic of
MX	Mexico
NZ	New Zealand
RU	Russian Federation
SA	Saudi Arabia
UK	United Kingdom
US	United States
ZA	South Africa

Provided by IMF
AM	Armenia
AZ	Azerbaijan
BB	Barbados
BF	Burkina Faso
BN	Brunei Darussalam
BO	Bolivia
BW	Botswana
BY	Belarus
BZ	Belize
CI	Cote d`Ivoire
CM	Cameroon
CV	Cape Verde
DO	Dominican Republic
DZ	Algeria
EC	Ecuador
EG	Egypt
GE	Georgia
GH	Ghana
GT	Guatemala
HK	Hong Kong, China
HN	Honduras
JM	Jamaica
JO	Jordan
KE	Kenya
KG	Kyrgyzstan
KH	Cambodia
LK	Sri Lanka
MA	Morocco
MD	Moldova, Republic of
MG	Madagascar
MN	Mongolia
MO	Macao
MU	Mauritius
MY	Malaysia
MZ	Mozambique
NA	Namibia
NG	Nigeria
NI	Nicaragua
OM	Oman
PA	Panama
PE	Peru
PH	Philippines
PS	Palestine, State of
PY	Paraguay
RW	Rwanda
SC	Seychelles
SG	Singapore
SN	Senegal
SV	El Salvador
TH	Thailand
TJ	Tajikistan
TN	Tunisia
TZ	Tanzania, United Republic of
UA	Ukraine
UG	Uganda
UY	Uruguay
VE	Venezuela, Bolivarian Republic
VN	Viet Nam
WS	Samoa

Provided by UNSD
AD	Andorra
AE	United Arab Emirates
AF	Afghanistan
AG	Antigua and