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 199119921993199419951996199719981999200020012002200320042005200620072008200920102011201220132014201520162017201820192020202120222023202420252026202720282029
A.1C_230.GGXONLB_G01_GDP_PT 1.10773110847856 0.537657908324133 0.524450348636262 0.715566051101171 0.707380696358279 -0.89949016358872 -0.799412493348873 -1.24935727058205 -0.534176220623806 -1.44140969022486 -2.41369112439788 -1.40454305139867 -0.84304905854888 -0.898640610684647 -0.761010699410564 -0.139160669491636 -0.0708083444720574 -0.961531198752911 -1.57241958449295 -0.997824942574077 -1.62837519465595 -1.25698267200409 -1.27753754676586 -0.956656980161175 -1.6197134065924 -1.79746877395522 -2.37737426364389 -2.30836713665399 -3.10941044884592 -3.46370863285002 -2.61856314139771 -2.343828377202 -2.73331219501605 -2.72821099067728 -2.33398016794894 -2.35764752523634 -2.24230366129041 -2.25687890206664 -2.22299314946213
A.1C_230.G_XWDG_G01_GDP_PT 47.4552679424591 45.2262085062231 42.5518909369941 39.423136414106 36.8531444934296 36.4618691231271 33.6759032869182 32.9888538164178 33.0392227328238 32.4139377393813 30.4881100992048 30.2634794307931 30.2893804746873 30.8538622104244 32.2692127127345 34.05258789435 37.5685082092688 41.1440685457052 42.6741858650516 43.5733187220824 44.5954605355672 44.7266765065772 44.8757572791555 44.7796749969392 44.8428419708979 44.8910127994925
A.1C_230.G_X_G01_GDP_PT 10.7857891631699 10.9796036996596 12.0705520078216 11.7897010616414 11.6284361728161 11.3280328615252 11.4543665300928 11.8924474259866 11.0772095740825 12.114465235911 13.1783705743727 12.4835714125516 11.983491356428 11.6798349745388 12.0853577264509 11.9468717369981 11.9765513989962 13.5016555676622 13.7927302212654 13.80516984158 14.4540924501943 15.8558638029687 16.7393001497782 16.6046216640243 15.9216481466328 15.4509740422078 15.5313786707863 16.3528990211853 16.4674451419831 16.882101524964 16.6575807402945 16.0960459534244 16.0379845377152 16.2718611763509 16.5667637385982 17.1828232834288 17.1928210077543 17.2616394063281 17.224259622982
A.1C_231.GGR_G01_GDP_PT 12.643604980752 13.9331107668491 14.5127789023781 16.6676289484143 15.6173932919427 16.152436703308 17.4250679914858 17.9445429068005 18.5787357813855 18.6095053403102 19.099125092113 19.5970174645893 18.2662372787404 19.0537252695615 19.7921783861785 20.2015665509068 19.7378114741714 19.9357595001595 20.5942612927541 21.7617993673307 21.4479686100931 20.9440612398127 21.0683397682618 19.8030129486855 20.082568178025 20.7831558865468 20.0321775008168 21.9633818637535 20.5582162065294 21.0691156009149 21.4324555578588 21.6889090575981 21.8907025142098
A.1C_231.GGXCNL_G01_GDP_PT 0.2265850969593 1.54750204414492 -0.16011951880973 0.655947549335649 -1.64897723551416 -2.06430319249291 -2.49232276076119 -0.977964592138118 0.196289124232553 -0.579704330956503 -0.273753322231052 -0.79123044533042 -3.08449183178419 -1.98303159851755 -1.76094698651487 -2.41480477723731 -3.90154474532483 -2.71691780215161 -1.19401135303304 -0.640304156977013 -0.706150898602799 -0.992900915962641 -0.581799121482312 -3.3356745224384 -2.4802453174575 0.340525817918762 -0.175687786074182 1.38290504668942 -0.70993161648964 -0.569551448356564 -0.493182529660215 -0.517444961404705 -0.510619868010749
A.1C_231.GGXONLB_G01_GDP_PT 1.66420247277817 2.93043837957286 1.22454881540778 2.09396721200603 -0.174010612559702 -1.04140850925961 -1.41462660453411 -0.493048675732625 0.646313895258939 -0.360026928537392 -0.276496181134256 -1.05769424744272 -3.2447889773172 -2.12883447975974 -1.70050748676849 -2.24136299657663 -3.69989608553869 -2.44062188340344 -0.692278374090854 -0.141103428123908 -0.152050529075193 -0.398703750392732 0.150689066146527 -2.54749209098978 -1.64102104498316 1.1925045332688 1.18843150333369 2.41243309488056 0.22596803844 0.316220755291557 0.348043044302776 0.302608611971958 0.304956058475095
A.1C_231.G_XWDG_G01_GDP_PT 58.9925500905691 56.5136313228162 62.0750856991525 61.7485854193636 58.772804611828 66.6074467225655 71.9139344697123 58.4985584694302 50.5957553933094 40.3139507843236 25.9025612029668 26.9737938677693 23.5854987943409 24.8174934209187 24.8919038981196 26.303695028155 31.1190193306887 29.0763471888728 31.4410856273289 32.8204414075374 33.8621884499481 35.5595124742733 37.8686454700115 42.5811233509983 42.2593314557847 41.9938489227692 38.3336642739767 34.4119320196915 34.2162440924456 34.0960880576163 34.0476942769371 33.8545631443295 32.1981710159704
A.1C_231.G_X_G01_GDP_PT 12.4170198837927 12.3856087227042 14.6728984211878 16.0116813990786 17.2663705274568 18.2167398958009 19.917390752247 18.9225074989386 18.382446657153 19.1892096712667 19.3728784143441 20.3882479099198 21.3507291105246 21.036756868079 21.5531253726934 22.6163713281441 23.6393562194962 22.6526773023111 21.7882726457871 22.4021035243077 22.1541195086959 21.9369621557753 21.6501388897441 23.1386874711239 22.5628134954825 20.4426300686281 20.207865286891 20.5804768170641 21.2681478230191 21.6386670492715 21.925638087519 22.2063540190028 22.4013223822205
A.1C_232.GGCBP_G01_PGDP_PT 1.97703202083421 2.73851154951091 2.35153302696173 1.7412363847392 1.58501532135125 0.351698730552691 -1.1881085018411 -1.76532158004861 -1.12422043202294 -1.46023655291575 -1.6097961956258 -2.78081456833859 -2.81740630477753 -3.44375634470178 -2.24802115462336 -2.60763580840226 -3.05304287430109 -5.7417886638471 -2.37067978687127 -2.10651636122874 -0.30333633781276 0.375757590422406 0.885360137917941 0.365138849206553 -0.0863332884342173 -0.170641257566149 -0.189884993075567
A.1C_232.GGCB_G01_PGDP_PT 0.125956419800681 1.2618405527017 0.681247649342799 0.0119150991934192 -0.0617531844908862 -1.20956361685175 -2.72931832711694 -3.43293231210572 -2.84053272015193 -3.21997166655965 -3.60571367581952 -6.16815463963373 -6.3626112576684 -7.2605502474313 -6.2715948810339 -6.9227016216118 -7.48742621769652 -10.467126041223 -7.67964346229829 -7.55120435230515 -4.68874846401628 -4.63875679574785 -4.01888685060656 -4.16406959988026 -4.44107973178964 -4.49199510974274 -4.51081650459837
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