Sustainable Development Goals, IMF Inputs [UNSDG_IMF_INPUTS]

Updated by provider on: February 26, 2020

Frequency [FREQ]

REPORTING_TYPE [REPORTING_TYPE]

SERIES [SERIES]

REF_AREA [REF_AREA]

SEX [SEX]

AGE [AGE]

URBANISATION [URBANISATION]

INCOME_WEALTH_QUANTILE [INCOME_WEALTH_QUANTILE]

EDUCATION_LEV [EDUCATION_LEV]

OCCUPATION [OCCUPATION]

CUST_BREAKDOWN [CUST_BREAKDOWN]

COMPOSITE_BREAKDOWN [COMPOSITE_BREAKDOWN]

DISABILITY_STATUS [DISABILITY_STATUS]

ACTIVITY [ACTIVITY]

PRODUCT [PRODUCT]

Dataset has 1,910 series. Add search filters to narrow them.

Annual – Global – Number of automated teller machines (ATMs) per 100,000 adults – World – Both sexes or no breakdown by sex – 15 years old and over – Total – Total (national average) or no breakdown – Total or no breakdown by education level – Total or no breakdown by Occupation – No breakdown – No breakdown – No breakdown by disability – No breakdown – No breakdown
[IMF/UNSDG_IMF_INPUTS/A.G.FB_ATM_TOTL.001._T.Y_GE15._T._T._T._T._T._T._T._T._T]
Annual – Global – Number of automated teller machines (ATMs) per 100,000 adults – Afghanistan, Islamic Republic of – Both sexes or no breakdown by sex – 15 years old and over – Total – Total (national average) or no breakdown – Total or no breakdown by education level – Total or no breakdown by Occupation – No breakdown – No breakdown – No breakdown by disability – No breakdown – No breakdown
[IMF/UNSDG_IMF_INPUTS/A.G.FB_ATM_TOTL.004._T.Y_GE15._T._T._T._T._T._T._T._T._T]
Annual – Global – Number of automated teller machines (ATMs) per 100,000 adults – Albania – Both sexes or no breakdown by sex – 15 years old and over – Total – Total (national average) or no breakdown – Total or no breakdown by education level – Total or no breakdown by Occupation – No breakdown – No breakdown – No breakdown by disability – No breakdown – No breakdown
[IMF/UNSDG_IMF_INPUTS/A.G.FB_ATM_TOTL.008._T.Y_GE15._T._T._T._T._T._T._T._T._T]
Annual – Global – Number of automated teller machines (ATMs) per 100,000 adults – Oceania – Both sexes or no breakdown by sex – 15 years old and over – Total – Total (national average) or no breakdown – Total or no breakdown by education level – Total or no breakdown by Occupation – No breakdown – No breakdown – No breakdown by disability – No breakdown – No breakdown
[IMF/UNSDG_IMF_INPUTS/A.G.FB_ATM_TOTL.009._T.Y_GE15._T._T._T._T._T._T._T._T._T]
Annual – Global – Number of automated teller machines (ATMs) per 100,000 adults – Algeria – Both sexes or no breakdown by sex – 15 years old and over – Total – Total (national average) or no breakdown – Total or no breakdown by education level – Total or no breakdown by Occupation – No breakdown – No breakdown – No breakdown by disability – No breakdown – No breakdown
[IMF/UNSDG_IMF_INPUTS/A.G.FB_ATM_TOTL.012._T.Y_GE15._T._T._T._T._T._T._T._T._T]
Annual – Global – Number of automated teller machines (ATMs) per 100,000 adults – Angola – Both sexes or no breakdown by sex – 15 years old and over – Total – Total (national average) or no breakdown – Total or no breakdown by education level – Total or no breakdown by Occupation – No breakdown – No breakdown – No breakdown by disability – No breakdown – No breakdown
[IMF/UNSDG_IMF_INPUTS/A.G.FB_ATM_TOTL.024._T.Y_GE15._T._T._T._T._T._T._T._T._T]
Annual – Global – Number of automated teller machines (ATMs) per 100,000 adults – Antigua and Barbuda – Both sexes or no breakdown by sex – 15 years old and over – Total – Total (national average) or no breakdown – Total or no breakdown by education level – Total or no breakdown by Occupation – No breakdown – No breakdown – No breakdown by disability – No breakdown – No breakdown
[IMF/UNSDG_IMF_INPUTS/A.G.FB_ATM_TOTL.028._T.Y_GE15._T._T._T._T._T._T._T._T._T]
Annual – Global – Number of automated teller machines (ATMs) per 100,000 adults – Azerbaijan, Republic of – Both sexes or no breakdown by sex – 15 years old and over – Total – Total (national average) or no breakdown – Total or no breakdown by education level – Total or no breakdown by Occupation – No breakdown – No breakdown – No breakdown by disability – No breakdown – No breakdown
[IMF/UNSDG_IMF_INPUTS/A.G.FB_ATM_TOTL.031._T.Y_GE15._T._T._T._T._T._T._T._T._T]
Annual – Global – Number of automated teller machines (ATMs) per 100,000 adults – Argentina – Both sexes or no breakdown by sex – 15 years old and over – Total – Total (national average) or no breakdown – Total or no breakdown by education level – Total or no breakdown by Occupation – No breakdown – No breakdown – No breakdown by disability – No breakdown – No breakdown
[IMF/UNSDG_IMF_INPUTS/A.G.FB_ATM_TOTL.032._T.Y_GE15._T._T._T._T._T._T._T._T._T]
Annual – Global – Number of automated teller machines (ATMs) per 100,000 adults – Australia – Both sexes or no breakdown by sex – 15 years old and over – Total – Total (national average) or no breakdown – Total or no breakdown by education level – Total or no breakdown by Occupation – No breakdown – No breakdown – No breakdown by disability – No breakdown – No breakdown
[IMF/UNSDG_IMF_INPUTS/A.G.FB_ATM_TOTL.036._T.Y_GE15._T._T._T._T._T._T._T._T._T]

Showing results 1 - 10 / 1,910

Notes

Code: UNSDG_IMF_INPUTS

Dimensions codes and labels

[FREQ] Frequency

[A] Annual

[REPORTING_TYPE] REPORTING_TYPE

[G] Global

[SERIES] SERIES

[FI_FSI_FSLS] Liquid assets to short term liabilities (%)
[FI_FSI_FSSNO] Net open position in foreign exchange to capital (%)
[FI_FSI_FSKNL] Non-performing loans net of provisions to capital (%)
[FI_FSI_FSANL] Non-performing loans to total gross loans (%)
[FB_ATM_TOTL] Number of automated teller machines (ATMs) per 100,000 adults
[FB_CBK_BRCH] Number of commercial bank branches per 100,000 adults
[GC_GOB_TAXD] Proportion of domestic budget funded by domestic taxes
[FI_FSI_FSKA] Regulatory capital to assets (%)
[FI_FSI_FSKRTC] Regulatory Tier 1 capital to risk-weighted assets (%)
[FI_FSI_FSERA] Return on assets (%)
[GR_G14_GDP] Total government revenue as a proportion of GDP
[GR_G14_XDC] Total government revenue, in local currency

[REF_AREA] REF_AREA

[004] Afghanistan, Islamic Republic of
[002] Africa
[008] Albania
[012] Algeria
[019] Americas
[024] Angola
[660] Anguilla
[028] Antigua and Barbuda
[032] Argentina
[051] Armenia, Republic of
[533] Aruba
[142] Asia
[036] Australia
[053] Australia and New Zealand
[040] Austria
[031] Azerbaijan, Republic of
[044] Bahamas, The
[048] Bahrain, Kingdom of
[050] Bangladesh
[052] Barbados
[112] Belarus
[056] Belgium
[084] Belize
[204] Benin
[064] Bhutan
[068] Bolivia
[070] Bosnia and Herzegovina
[072] Botswana
[076] Brazil
[096] Brunei Darussalam
[100] Bulgaria
[854] Burkina Faso
[108] Burundi
[132] Cabo Verde
[116] Cambodia
[120] Cameroon
[124] Canada
[029] Caribbean
[140] Central African Republic
[013] Central America
[143] Central Asia
[062] Central Asia and Southern Asia (SDG)
[148] Chad
[152] Chile
[344] China, P.R.: Hong Kong
[446] China, P.R.: Macao
[156] China, P.R.: Mainland
[170] Colombia
[174] Comoros
[180] Congo, Democratic Republic of
[184] Cook Islands
[188] Costa Rica
[384] Cote d'Ivoire
[191] Croatia
[196] Cyprus
[203] Czech Republic
[208] Denmark
[262] Djibouti
[212] Dominica
[214] Dominican Republic
[014] Eastern Africa
[030] Eastern Asia
[753] Eastern Asia and South-eastern Asia (SDG)
[151] Eastern Europe
[218] Ecuador
[818] Egypt
[222] El Salvador
[226] Equatorial Guinea
[233] Estonia
[231] Ethiopia
[150] Europe
[242] Fiji
[246] Finland
[250] France
[266] Gabon
[270] Gambia, The
[268] Georgia
[276] Germany
[288] Ghana
[300] Greece
[308] Grenada
[320] Guatemala
[324] Guinea
[624] Guinea-Bissau
[328] Guyana
[332] Haiti
[340] Honduras
[348] Hungary
[352] Iceland
[356] India
[360] Indonesia
[364] Iran, Islamic Republic of
[368] Iraq
[372] Ireland
[376] Israel
[380] Italy
[388] Jamaica
[392] Japan
[400] Jordan
[398] Kazakhstan
[404] Kenya
[296] Kiribati
[410] Korea, Republic of
[412] Kosovo, Republic of
[414] Kuwait
[417] Kyrgyz Republic
[432] Landlocked developing countries (LLDCs)
[418] Lao People's Democratic Republic
[419] Latin America and the Caribbean
[428] Latvia
[199] Least Developed Countries (LDCs)
[422] Lebanon
[426] Lesotho
[430] Liberia
[434] Libya
[440] Lithuania
[442] Luxembourg
[450] Madagascar
[454] Malawi
[458] Malaysia
[462] Maldives
[466] Mali
[470] Malta
[584] Marshall Islands, Republic of
[478] Mauritania
[480] Mauritius
[054] Melanesia
[484] Mexico
[057] Micronesia
[583] Micronesia, Federated States of
[017] Middle Africa
[498] Moldova
[496] Mongolia
[499] Montenegro
[500] Montserrat
[504] Morocco
[508] Mozambique
[104] Myanmar
[516] Namibia
[520] Nauru
[524] Nepal
[528] Netherlands
[554] New Zealand
[558] Nicaragua
[562] Niger
[566] Nigeria
[015] Northern Africa
[021] Northern America
[513] Northern America and Europe (SDG)
[154] Northern Europe
[578] Norway
[009] Oceania
[512] Oman
[586] Pakistan
[585] Palau
[591] Panama
[598] Papua New Guinea
[600] Paraguay
[604] Peru
[608] Philippines
[616] Poland
[061] Polynesia
[620] Portugal
[634] Qatar
[642] Romania
[643] Russian Federation
[646] Rwanda
[882] Samoa
[674] San Marino
[678] Sao Tome and Principe
[682] Saudi Arabia
[686] Senegal
[688] Serbia, Republic of
[690] Seychelles
[694] Sierra Leone
[702] Singapore
[703] Slovak Republic
[705] Slovenia
[722] Small island developing States (SIDS)
[090] Solomon Islands
[706] Somalia
[710] South Africa
[005] South America
[728] South Sudan
[035] South-eastern Asia
[018] Southern Africa
[034] Southern Asia
[039] Southern Europe
[724] Spain
[144] Sri Lanka
[659] St. Kitts and Nevis
[662] St. Lucia
[670] St. Vincent and the Grenadines
[202] Sub-Saharan Africa
[729] Sudan
[740] Suriname
[748] Swaziland
[752] Sweden
[756] Switzerland
[760] Syrian Arab Republic
[762] Tajikistan
[834] Tanzania
[764] Thailand
[626] Timor-Leste, Dem. Rep. of
[768] Togo
[776] Tonga
[780] Trinidad and Tobago
[788] Tunisia
[792] Turkey
[800] Uganda
[804] Ukraine
[784] United Arab Emirates
[826] United Kingdom
[840] United States
[858] Uruguay
[860] Uzbekistan
[548] Vanuatu
[862] Venezuela, Republica Bolivariana de
[704] Vietnam
[011] Western Africa
[145] Western Asia
[747] Western Asia and Northern Africa (SDG)
[155] Western Europe
[001] World
[894] Zambia
[716] Zimbabwe

[SEX] SEX

[_T] Both sexes or no breakdown by sex

[AGE] AGE

[Y_GE15] 15 years old and over
[_T] All age ranges or no breakdown by age

[URBANISATION] URBANISATION

[_T] Total

[INCOME_WEALTH_QUANTILE] INCOME_WEALTH_QUANTILE

[_T] Total (national average) or no breakdown

[EDUCATION_LEV] EDUCATION_LEV

[_T] Total or no breakdown by education level

[OCCUPATION] OCCUPATION

[_T] Total or no breakdown by Occupation

[CUST_BREAKDOWN] CUST_BREAKDOWN

[_T] No breakdown

[COMPOSITE_BREAKDOWN] COMPOSITE_BREAKDOWN

[_T] No breakdown

[DISABILITY_STATUS] DISABILITY_STATUS

[_T] No breakdown by disability

[ACTIVITY] ACTIVITY

[_T] No breakdown

[PRODUCT] PRODUCT

[_T] No breakdown

Technical links