Fiscal Monitor (FM) [FM]

The Fiscal Monitor surveys and analyzes the latest public finance developments, it updates fiscal implications of the crisis and medium-term fiscal projections, and assesses policies to put public finances on a sustainable footing.

Notes

Temporal Coverage: The Fiscal Monitor data are presented in annual frequency.

Geographic Coverage: The Fiscal Monitor database covers 115 countries and several regional aggregates (see "Economy Groupings" for more details).

Sectoral Coverage: General Government and Public Sector

Code: FM

Timeliness: The Fiscal Monitor database is updated twice a year by the IMF’s Fiscal Affairs Department.

Methodology: The Fiscal Monitor surveys and analyzes the latest public finance developments, it updates fiscal implications of the crisis and medium-term fiscal projections, and assesses policies to put public finances on a sustainable footing.

Country-specific data and projections for key fiscal variables are based on the April 2020 World Economic Outlook database, unless indicated otherwise, and compiled by the IMF staff. Historical data and projections are based on information gathered by IMF country desk officers in the context of their missions and through their ongoing analysis of the evolving situation in each country; they are updated on a continual basis as more information becomes available. Structural breaks in data may be adjusted to produce smooth series through splicing and other techniques. IMF staff estimates serve as proxies when complete information is unavailable. As a result, Fiscal Monitor data can differ from official data in other sources, including the IMF’s International Financial Statistics.

The country classification in the Fiscal Monitor divides the world into three major groups: 35 advanced economies, 40 emerging market and middle-income economies, and 40 low-income developing countries. The seven largest advanced economies as measured by GDP (Canada, France, Germany, Italy, Japan, United Kingdom, United States) constitute the subgroup of major advanced economies, often referred to as the Group of Seven (G7). The members of the euro area are also distinguished as a subgroup. Composite data shown in the tables for the euro area cover the current members for all years, even though the membership has increased over time. Data for most European Union member countries have been revised following the adoption of the new European System of National and Regional Accounts (ESA 2010). The low-income developing countries (LIDCs) are countries that have per capita income levels below a certain threshold (currently set at $2,700 in 2016 as measured by the World Bank’s Atlas method), structural features consistent with limited development and structural transformation, and external financial linkages insufficiently close to be widely seen as emerging market economies. Zimbabwe is included in the group. Emerging market and middle-income economies include those not classified as advanced economies or low-income developing countries. See Table A, “Economy Groupings,” for more details.

Most fiscal data refer to the general government for advanced economies, while for emerging markets and developing economies, data often refer to the central government or budgetary central government only (for specific details, see Tables B–D). All fiscal data refer to the calendar years, except in the cases of Bangladesh, Egypt, Ethiopia, Haiti, Hong Kong Special Administrative Region, India, the Islamic Republic of Iran, Myanmar, Nepal, Pakistan, Singapore, and Thailand, for which they refer to the fiscal year.

Composite data for country groups are weighted averages of individual-country data, unless otherwise specified. Data are weighted by annual nominal GDP converted to U.S. dollars at average market exchange rates as a share of the group GDP.

In many countries, fiscal data follow the IMF’s Government Finance Statistics Manual 2014. The overall fiscal balance refers to net lending (+) and borrowing (–) of the general government. In some cases, however, the overall balance refers to total revenue and grants minus total expenditure and net lending.

The fiscal gross and net debt data reported in the Fiscal Monitor are drawn from official data sources and IMF staff estimates. While attempts are made to align gross and net debt data with the definitions in the IMF’s Government Finance Statistics Manual, as a result of data limitations or specific country circumstances, these data can sometimes deviate from the formal definitions. Although every effort is made to ensure the debt data are relevant and internationally comparable,

Updated by provider on April 17, 2024 (12:00 AM)

Frequency [FREQ]
Reference Area [REF_AREA]
Indicator [INDICATOR]

Dataset has 1,357 series. Add search filters to narrow them.

Series code 199219941995199619971998199920002001200220032004200520062007200820092010201120122013201420152016201720182019202020212022202320242025202620272028202919911993
A.1C_232.GGR_G01_GDP_PT 16.0316773126146 13.2186251689155 15.380080122027 13.5467320305537 13.4632140813563 11.1269140748499 13.5654347896085 17.5411191499005 18.4354003943625 16.1321876168574 16.6491713829867 18.2909255078069 18.1897708338518 20.5141314104282 16.6176569568866 17.9788796381302 13.1461071025969 14.5895275461615 17.3366367474441 16.1696287901178 14.4740854809815 14.2220298057448 12.2843317565939 11.6960039791332 12.6796691864197 13.2182478833066 13.0519961793529 12.2682398084144 12.9228746493417 13.7346718199998 14.2494589033869 15.3588996124292 15.5589781859796 15.8328603749362 15.8857325177642 15.8215125774589 15.8632029442698
A.1C_232.GGXCNL_G01_GDP_PT -2.57874191807139 -4.00963093228886 1.28744130389198 2.10818745449972 0.227501143977677 -3.63293040267551 -2.30987226140954 0.107216689494388 -2.2542119281261 -0.808587389260529 -1.98296457407989 1.21019465832268 1.34639917185657 5.77808751590764 -0.963939891873679 2.06774768410359 -3.73774385918656 -3.26419854943805 -0.919895888592688 -1.4273826404961 -3.13845380064198 -3.15558172854047 -4.04326585510265 -4.46414941442433 -4.47663965256021 -3.92944998492776 -3.98504629238001 -5.80738211262259 -5.3183745307983 -5.21382554982794 -4.00470702266425 -3.57699372694131 -3.14261800328481 -3.01038357357268 -2.8903795281415 -2.84033802960386 -2.75380824240116
A.1C_232.GGXONLB_G01_GDP_PT -0.443171179370082 3.81570875932933 3.7936211079263 1.93983470218789 -1.83825565702459 0.361721555354109 2.58813901712186 0.219360916970227 0.951724980202635 0.579982058048836 2.63115681808843 2.90226649237869 6.7639469871668 -0.110511733594537 2.88081301079025 -2.92781692362316 -2.44889408070974 -0.0205001427124226 -0.423193868490693 -2.04307000981745 -2.00388158949857 -2.72990230896495 -2.90027531607588 -2.79485313581607 -2.02589337416646 -2.03672156073216 -3.66452586717197 -2.92060162623979 -2.62938176130427 -1.43608386394026 -1.01063284207862 -0.526006864689283 -0.417619883023715 -0.384627097079388 -0.375344782231184 -0.341165523335267
A.1C_232.GGXWDN_G01_GDP_PT 60.765732901998 57.1083393999603 7.39306622270209 10.4443336017718 11.4013122425532 15.9274561351633 14.9439152576856 16.0538591030656 18.6484456847349 23.6319577674675 28.2749023100369 30.5943299576738 33.9394428602893 35.9059255503966 43.7403554827968 44.7539763218067 46.2274527574638 49.7204331063877 44.1319833984466 42.6143237127457 41.5970549090535 40.6236430820936 39.9713504306179 38.9871718049008
A.1C_232.G_XWDG_G01_GDP_PT 35.8170088621749 34.0436407925666 62.7137378442967 79.6622613117032 72.0845315581806 63.1344625380329 59.439973477827 53.4390059680379 41.3125241575104 28.1366649818284 23.971651705386 22.392890917569 23.6612223733603 21.677453276024 24.4160895656457 24.0712735713463 25.93451153441 27.3329711869569 32.8465382065822 37.007742105166 39.7967824094601 41.5527675718345 43.0417112993179 49.196491312444 50.2445154267626 52.4181641681743 54.5528196382822 51.5689407098015 49.3323763512523 47.7396384540414 45.9815870364047 44.4318475700679 42.7782935028324
A.1C_232.G_X_G01_GDP_PT 18.610419230686 17.2282561012044 14.092638818135 11.438544576054 13.2357129373786 14.7598444775254 15.8753070510181 17.4339024604061 20.6896123224886 16.940775006118 18.6321359570666 17.0807308494842 16.8433716619952 14.7360438945206 17.5815968487603 15.9111319540266 16.8838509617835 17.8537260955996 18.2565326360368 17.5970114306139 17.6125392816235 17.3776115342853 16.3275976116966 16.1601533935576 17.1563088389799 17.1476978682343 17.0370424717329 18.075621921037 18.2412491801399 18.9484973698277 18.2541659260511 18.9358933393705 18.7015961892644 18.8432439485089 18.7761120459057 18.6618506070627 18.617011186671
A.1C_234.GGR_G01_GDP_PT 17.2169800066352 14.4549147359218 20.8414658123528 25.5168402821643 23.9766692322831 23.1988141278342 23.3285913360881 24.1456264058678 21.4463218437436 19.798930285492 21.0464296984178 22.4496178492357 23.3366108557589 24.6703317424778 23.4543396593626 26.59634319615 22.6020052671911 23.4419295873542 23.0881690861154 24.1951017271555 21.7797845756867 21.2286439184103 17.9782875086014 17.1099134098002 16.9820016471634 20.2768274350263 19.9759110066651 18.75724752613 19.827211011987 23.5575820139248 23.0171336400904 23.2675602349603 24.0726329556377 24.632656792895 25.2919907769716 25.3909217903491 25.5919153063382 18.8544987881082 16.6601812026434
A.1C_234.GGXCNL_G01_GDP_PT -9.30851568014559 -10.5284936274747 -4.09215933073755 -2.34335770755895 -2.178250901083 -3.47236675264258 -2.23811369477798 -0.899631572129424 -1.07401664151316 -2.24037777834241 -2.11288745662936 -1.67921958365352 -2.13524440177514 0.302630130437349 -1.78396648181116 0.513971096058424 -3.00284137307604 -0.212050047948748 -0.243901946827962 -1.12078499990965 -2.17010455611832 -1.66024713206726 -3.07836226458289 -2.21715599928742 -2.20663086892252 -1.88830281741165 -2.96548535465625 -3.47785371977407 -2.05314333235392 -2.73730263841687 -3.56873632079923 -3.13425651764546 -2.53123786189063 -2.52801930806784 -2.23448493867459 -2.18966661313716 -2.1517209241749 -8.51838071268598 -11.7971879683829
A.1C_234.GGXONLB_G01_GDP_PT -11.2298483649021 -9.57762094282412 -4.00226948827459 -1.19826343668136 -2.28639865776333 -0.938505944389942 0.34509867448722 -0.0496685253371125 -1.33086646321049 -0.94339244489974 -0.438373286574708 -1.10710952943316 1.27617579897429 -0.960322332010991 1.38125681664555 -2.11895260387487 0.632212418797085 0.894937358970702 0.17535712807142 -1.01153219225325 -0.426242172104206 -1.80039915381829 -1.33668203476517 -1.98198424285122 -1.73097443801342 -2.75353848307454 -3.07498406250698 -1.83389995289934 -2.4176237494441 -2.97734660487519 -2.4572466857924 -1.76578931584556 -1.75456331055719 -1.4567278879384 -1.40509017726995 -1.362994521432 -6.44021625122926 -9.83717293305758
A.1C_234.GGXWDN_G01_GDP_PT 64.4529168505115 58.1567147534437 58.6166939277508 52.4476905746002 43.6713665011644 35.1125033729819 43.4874947133061 38.5650767199134 43.4887314791799 44.8366231186575 47.0177032153888 56.1835791832969
Dimension codes and labels
[FREQ] Frequency
  • [A] Annual
[REF_AREA] Reference Area
  • [1C_035] Emerging Market and Middle-Income Economies
  • [1C_230] Low-Income Asia
  • [1C_231] Low-Income Latin America
  • [1C_232] Low-Income Sub-Saharan Africa
  • [1C_234] Low-Income Others
  • [1C_235] Low-Income Oil Producers
  • [1C_EMEUR] Emerging Europe
  • [1C_EMFLAT] Emerging Market Latin America
  • [1C_EMMENAP] Emerging Market and Middle-Income Middle East and North Africa and Pakistan
  • [1C_Oil_producers] Oil producers
  • [AD] Andorra
  • [AE] United Arab Emirates
  • [AF] Afghanistan
  • [AG] Antigua and Barbuda
  • [AL] Albania
  • [AM] Armenia
  • [AO] Angola
  • [AR] Argentina
  • [AT] Austria
  • [AU] Australia
  • [AW] Aruba
  • [AZ] Azerbaijan
  • [BA] Bosnia and Herzegovina
  • [BB] Barbados
  • [BD] Bangladesh
  • [BE] Belgium
  • [BF] Burkina Faso
  • [BG] Bulgaria
  • [BH] Bahrain
  • [BI] Burundi
  • [BJ] Benin
  • [BN] Brunei Darussalam
  • [BO] Bolivia
  • [BR] Brazil
  • [BS] Bahamas
  • [BT] Bhutan
  • [BW] Botswana
  • [BY] Belarus
  • [BZ] Belize
  • [CA] Canada
  • [CD] Congo, the Democratic Republic of the
  • [CF] Central African Republic
  • [CG] Congo
  • [CH] Switzerland
  • [CI] Cote d`Ivoire
  • [CL] Chile
  • [CM] Cameroon
  • [CN] China
  • [CO] Colombia
  • [CR] Costa Rica
  • [CV] Cabo Verde
  • [CY] Cyprus
  • [CZ] Czech Republic
  • [DE] Germany
  • [DJ] Djibouti
  • [DK] Denmark
  • [DM] Dominica
  • [DO] Dominican Republic
  • [DZ] Algeria
  • [EC] Ecuador
  • [EE] Estonia
  • [EG] Egypt
  • [ER] Eritrea
  • [ES] Spain
  • [ET] Ethiopia
  • [FI] Finland
  • [FJ] Fiji
  • [FM] Micronesia, Federated States of
  • [FR] France
  • [GA] Gabon
  • [GB] United Kingdom
  • [GD] Grenada
  • [GE] Georgia
  • [GH] Ghana
  • [GM] Gambia
  • [GN] Guinea
  • [GQ] Equatorial Guinea
  • [GR] Greece
  • [GT] Guatemala
  • [GW] Guinea-Bissau
  • [GY] Guyana
  • [HK] Hong Kong, China
  • [HN] Honduras
  • [HR] Croatia
  • [HT] Haiti
  • [HU] Hungary
  • [ID] Indonesia
  • [IE] Ireland
  • [IL] Israel
  • [IN] India
  • [IQ] Iraq
  • [IR] Iran, Islamic Republic of
  • [IS] Iceland
  • [IT] Italy
  • [JM] Jamaica
  • [JO] Jordan
  • [JP] Japan
  • [KE] Kenya
  • [KG] Kyrgyzstan
  • [KH] Cambodia
  • [KI] Kiribati
  • [KM] Comoros
  • [KN] Saint Kitts and Nevis
  • [KR] Korea, Republic of
  • [KW] Kuwait
  • [KZ] Kazakhstan
  • [LA] Lao People`s Democratic Republic
  • [LB] Lebanon
  • [LC] Saint Lucia
  • [LK] Sri Lanka
  • [LR] Liberia
  • [LS] Lesotho
  • [LT] Lithuania
  • [LU] Luxembourg
  • [LV] Latvia
  • [LY] Libya
  • [MA] Morocco
  • [MD] Moldova, Republic of
  • [ME] Montenegro
  • [MG] Madagascar
  • [MH] Marshall islands
  • [MK] North Macedonia, Republic of
  • [ML] Mali
  • [MM] Myanmar
  • [MN] Mongolia
  • [MO] Macao
  • [MR] Mauritania
  • [MT] Malta
  • [MU] Mauritius
  • [MV] Maldives
  • [MW] Malawi
  • [MX] Mexico
  • [MY] Malaysia
  • [MZ] Mozambique
  • [NA] Namibia
  • [NE] Niger
  • [NG] Nigeria
  • [NI] Nicaragua
  • [NL] Netherlands
  • [NO] Norway
  • [NP] Nepal
  • [NR] Nauru
  • [NZ] New Zealand
  • [OM] Oman
  • [PA] Panama
  • [PE] Peru
  • [PG] Papua New Guinea
  • [PH] Philippines
  • [PK] Pakistan
  • [PL] Poland
  • [PR] Puerto Rico
  • [PT] Portugal
  • [PW] Palau
  • [PY] Paraguay
  • [QA] Qatar
  • [R22] G20 (Argentina, Australia, Brazil, Canada, China, European Union, France, Germany, India,Indonesia, Italy, Japan, Mexico, Russia, Saudi Arabia, South Africa, South Korea, Turkey, United Kingdom, United States)
  • [R23] Major Advanced Economies - G7
  • [RO] Romania
  • [RS] Serbia
  • [RU] Russian Federation
  • [RW] Rwanda
  • [SA] Saudi Arabia
  • [SB] Solomon Islands
  • [SC] Seychelles
  • [SD] Sudan
  • [SE] Sweden
  • [SG] Singapore
  • [SI] Slovenia
  • [SK] Slovakia
  • [SL] Sierra Leone
  • [SM] San Marino
  • [SN] Senegal
  • [SO] Somalia
  • [SR] Suriname
  • [SS] South Sudan
  • [ST] Sao Tome and Principe
  • [SV] El Salvador
  • [SY] Syrian Arab Republic
  • [SZ] Eswatini
  • [TD] Chad
  • [TG] Togo
  • [TH] Thailand
  • [TJ] Tajikistan
  • [TL] Timor-Leste
  • [TM] Turkmenistan
  • [TN] Tunisia
  • [TO] Tonga
  • [TR] Turkey
  • [TT] Trinidad and Tobago
  • [TV] Tuvalu
  • [TW] Taiwan, Province of China
  • [TZ] Tanzania, United Republic of
  • [U2] Euro area (Member States and Institutions of the Euro Area) changing composition
  • [UA] Ukraine
  • [UG] Uganda
  • [US] United States
  • [UY] Uruguay
  • [UZ] Uzbekistan
  • [VC] Saint Vincent and the Grenadines
  • [VE] Venezuela, Bolivarian Republic
  • [VN] Viet Nam
  • [VU] Vanuatu
  • [WS] Samoa
  • [XK] Kosovo, Republic of
  • [XR23] Advanced Economies G-20 (IMF)
  • [XR24] Emerging Economies G-20 (IMF)
  • [XR29] Advanced Economies (IMF)
  • [XS2] Emerging Asia (IMF)
  • [YE] Yemen
  • [ZA] South Africa
  • [ZM] Zambia
  • [ZW] Zimbabwe
[INDICATOR] Indicator
  • [GGCBP_G01_PGDP_PT] Cyclically adjusted primary balance (% of potential GDP)
  • [GGCB_G01_PGDP_PT] Cyclically adjusted balance (% of potential GDP)
  • [GGR_G01_GDP_PT] Revenue (% of GDP)
  • [GGXCNL_G01_GDP_PT] Net lending/borrowing (also referred as overall balance) (% of GDP)
  • [GGXONLB_G01_GDP_PT] Primary net lending/borrowing (also referred as primary balance) (% of GDP)
  • [GGXWDN_G01_GDP_PT] Net debt (% of GDP)
  • [G_XWDG_G01_GDP_PT] Gross debt (% of GDP)
  • [G_X_G01_GDP_PT] Expenditure (% of GDP)
Technical links