Government Finance Statistics, 1990-

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International Monetary Fund, 2010, "Government Finance Statistics, 1990-", https://hdl.handle.net/11272.1/AB2/ZONYKO, Abacus Data Network, V1

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Description	The Government Finance Statistics (GFS) database on CD-ROM, published by the International Monetary Fund, contains the economic time series appearing in the corresponding Government Finance Statistics Yearbook (GFSY) but generally with more extensive time coverage. The database is provided on the CD-ROM in both scientific notation format (GFS.new) and in MS Access format (GFS.mdb). In GFS.new, the data items are stored internally in a compressed form of scientific notation, which maintains six significant digits of accuracy for every observation and therefore allows for a greater degree of precision than in the GFSY.
Subject	Other
Keyword	Economic and Financial Statistics

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	GFS.jun2014.mdb Data/MS Access - 820.3 MB Published Aug 30, 2020 0 Downloads MD5: 6275d433ba79d781fc0991428c5d04e2 June 2014 data Data	Access File File Access Restricted Users may not request access to files. Download Metadata Data File Citation EndNote XML RIS BibTeX
	GFS.sep2014.mdb Data/MS Access - 820.7 MB Published Aug 30, 2020 0 Downloads MD5: 9d97b8e193ce9b0275228413861057d2 September 2014 data Data	Access File File Access Restricted Users may not request access to files. Download Metadata Data File Citation EndNote XML RIS BibTeX
	GFSNew.jun2014.exe Data/Windows Executable - 13.9 MB Published Aug 30, 2020 0 Downloads MD5: 9b0f5f3628323b6318816048790dacdf June 2014 scientific notation data (self-extracting zip file) Data	Access File File Access Restricted Users may not request access to files. Download Metadata Data File Citation EndNote XML RIS BibTeX
	GFSNew.sep2014.exe Data/Windows Executable - 13.9 MB Published Aug 30, 2020 0 Downloads MD5: 3cf5fb56bc9c0e15561abd5b6b2988f9 September 2014 data (self-extracting .zip archive) Data	Access File File Access Restricted Users may not request access to files. Download Metadata Data File Citation EndNote XML RIS BibTeX
	GFS_CountryInfo.zip Documentation/Unknown - 910.4 KB Published Aug 30, 2020 0 Downloads MD5: cc5d6e3a1e962baa7f2e2db3e7bd3012 Country Information (Rich text format) Documentation	Access File File Access Restricted Users may not request access to files. Download Metadata Data File Citation EndNote XML RIS BibTeX
	GFS_Documentation.zip Documentation/Unknown - 5.3 MB Published Aug 30, 2020 0 Downloads MD5: 79b079394efbadd524745e4b8c8a00f0 All documentation Documentation	Access File File Access Restricted Users may not request access to files. Download Metadata Data File Citation EndNote XML RIS BibTeX
	manual.pdf Documentation/Adobe PDF - 884.2 KB Published Aug 30, 2020 1 Download MD5: 892732bdd8cc89536122efc85331fa84 User's Guide Documentation	Access File File Access Restricted Users may not request access to files. Download Metadata Data File Citation EndNote XML RIS BibTeX

Citation Metadata

Dataset Persistent ID	hdl:11272.1/AB2/ZONYKO
Publication Date	2010-06-28
Citation Date
Title	Government Finance Statistics, 1990-
Author	International Monetary Fund
Contact	Use email button above to contact. Abacus support
Description	The Government Finance Statistics (GFS) database on CD-ROM, published by the International Monetary Fund, contains the economic time series appearing in the corresponding Government Finance Statistics Yearbook (GFSY) but generally with more extensive time coverage. The database is provided on the CD-ROM in both scientific notation format (GFS.new) and in MS Access format (GFS.mdb). In GFS.new, the data items are stored internally in a compressed form of scientific notation, which maintains six significant digits of accuracy for every observation and therefore allows for a greater degree of precision than in the GFSY.
Subject	Other
Keyword	Economic and Financial Statistics (ACV)
Producer	International Monetary Fund
Production Date	2010
Distribution Date	2010-06-28
Deposit Date	2010-06-28
Kind of Data	Dataset
Series	Government Finance Statistics
Related Material	http://hdl.handle.net/10573/42280

Geospatial Metadata

Geographic Coverage

Albania (AL), Algeria (DZ), Argentina (AR), Australia (AU), Austria (AT), Azerbaijan (AZ), Bahamas, The (BS), Bahrain, Kingdom of (BH), Belarus (BY), Belgium (BE), Belize (BZ), Bhutan (BT), Bolivia (BO), Botswana (BW), Brazil (BR), Bulgaria (BG), Burundi (BI), Cameroon (CM), Canada (CA), Chile (CL), China,P.R.: Mainland (CN), China,P.R.:Macao (MO), Colombia (CO), Congo, Dem. Rep. of (CD), Congo, Republic of (CG), Costa Rica (CR), Cote d' Ivore (CI), Croatia (HR), Cyprus (CY), Czech Republic (CZ), Denmark (DK), Dominican Republic (DO), Ecuador (EC), Egypt (EG), El Salvador (SV), Estonia (EE), Ethiopia (ET), Fiji (FJ), Finland (FI), France (FR), Gambia, The (GM), Georgia (GE), Germany (DE), Ghana (GH), Greece (GR), Grenada (GD), Guatemala (GT), Guinea (GQ), Hungary (HU), Iceland (IS), India (IO), Indonesia (ID), Iran, I.R. of (IR), Ireland (IE), Israel (IL), Italy (IT), Jamaica (JM), Japan (JP), Jordan (JO), Kazakhstan (KZ), Kenya (KE), Korea (KP), Kuwait (KW), Kyrgyz Republic (KG), Latvia (LV), Lebanon (LB), Lesotho (LS), Lithuania (LT), Luxembourg (LU), Madagascar (MG), Malaysia (MY), Maldives (MV), Malta (MT), Mauritius (MU), Mexico (MX), Moldova (MD), Mongolia (MN), Montenegro (ME), Morocco (MA), Myanmar (MM), Namibia (NA), Nepal (NP), Netherlands (NL), Netherlands Antilles (AN), New Zealand (NZ), Nicaragua (NI), Norway (NO), Oman (OM), Pakistan (PK), Panama (PA), Papua New Guinea (PG), Paraguay (PY), Peru (PE), Philippines (PH), Poland (PL), Portugal (PT), Romania (RO), Russia (RU), Rwanda (RW), San Marino (SM), Senegal (SN), Serbia (RS), Seychelles (SC), Sierra Leone (SL), Singapore (SG), Slovak Republic (SK), Slovenia (SI), South Africa (ZA), Spain (ES), Sri Lanka (LK), St. Kitts and Nevis (KN), St. Vincent and Grens. (VC), Sudan (SD), Swaziland (SZ), Sweden (SE), Switzerland (CH), Syrian Arab Republic (SY), Tajikistan (TJ), Thailand (TH), Trinidad and Tobago (TT), Tunisia (TN), Turkey (TR), Uganda (UG), Ukraine (UA), United Arab Emirates (AE), United Kingdom (GB), Uruguay (UY), Vanuatu (VU), Venezuela, Rep. Bol. (VE), Vietnam (VN), Yemen, Republic of (YE), Zambia (ZM), Zimbabwe (ZW)
United Arab Emirates
Albania
Argentina
Austria
Australia
Azerbaijan
Belgium
Bulgaria
Bahrain
Burundi
Bolivia, Plurinational State of
Brazil
Bahamas
Bhutan
Botswana
Belarus
Belize
Canada
Congo, the Democratic Republic of the
Congo
Switzerland
Côte d'Ivoire
Chile
Cameroon
China
Colombia
Costa Rica
Cyprus
Czech Republic
Germany
Denmark
Dominican Republic
Algeria
Ecuador
Estonia
Egypt
Spain
Ethiopia
Finland
Fiji
France
United Kingdom
Grenada
Georgia
Ghana
Gambia
Equatorial Guinea
Greece
Guatemala
Croatia
Hungary
Indonesia
Ireland
Israel
British Indian Ocean Territory
Iran, Islamic Republic of
Iceland
Italy
Jamaica
Jordan
Japan
Kenya
Kyrgyzstan
Saint Kitts and Nevis
Korea, Democratic People's Republic of
Kuwait
Kazakhstan
Lebanon
Sri Lanka
Lesotho
Lithuania
Luxembourg
Latvia
Morocco
Moldova, Republic of
Montenegro
Madagascar
Myanmar
Mongolia
Macao
Malta
Mauritius
Maldives
Mexico
Malaysia
Namibia
Nicaragua
Netherlands
Norway
Nepal
New Zealand
Oman
Panama
Peru
Papua New Guinea
Philippines
Pakistan
Poland
Portugal
Paraguay
Romania
Serbia
Russian Federation
Rwanda
Seychelles
Sudan
Sweden
Singapore
Slovenia
Slovakia
Sierra Leone
San Marino
Senegal
El Salvador
Syrian Arab Republic
Swaziland
Thailand
Tajikistan
Tunisia
Turkey
Trinidad and Tobago
Ukraine
Uganda
Uruguay
Saint Vincent and the Grenadines
Venezuela, Bolivarian Republic of
Viet Nam
Vanuatu
Yemen
South Africa
Zambia
Zimbabwe

Geographic Unit

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Social Science and Humanities Metadata

Study Level Error Notes

Misc: The database is provided in both scientific notation format (GFS.new) and in MS Access format (GFS.mdb). In GFS.new, the data items are stored internally in a compressed form of scientific notation, which maintains six significant digits of accuracy for every observation and therefore allows for a greater degree of precision than in the GFSY.Migration: UBC Library Data Services repository software migration from DSPACE to DATAVERSE. Dataset 10573/42280 was migrated on 2013/10/03.Migration: The former URI for this resource (http://hdl.handle.net/10573/42280) is deprecated. Previous handle https://hdl.handle.net/11272/0UT5L has been deprecated

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