Sustainable Development Goals, IMF Inputs [UNSDG_IMF_INPUTS]
Notes
Code: UNSDG_IMF_INPUTS
Updated by provider on March 27, 2023 (12:00 AM)
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 2,678 series. Add search filters to narrow them.
- Annual – Global – Number of automated teller machines (ATMs) per 100,000 adults – Bulgaria – 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.100._T.Y_GE15._T._T._T._T._T._T._T._T._T]
- Annual – Global – Number of automated teller machines (ATMs) per 100,000 adults – Myanmar – 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.104._T.Y_GE15._T._T._T._T._T._T._T._T._T]
- Annual – Global – Number of automated teller machines (ATMs) per 100,000 adults – Burundi – 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.108._T.Y_GE15._T._T._T._T._T._T._T._T._T]
- Annual – Global – Number of automated teller machines (ATMs) per 100,000 adults – Belarus – 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.112._T.Y_GE15._T._T._T._T._T._T._T._T._T]
- Annual – Global – Number of automated teller machines (ATMs) per 100,000 adults – Cambodia – 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.116._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.12._T.Y_GE15._T._T._T._T._T._T._T._T._T]
- Annual – Global – Number of automated teller machines (ATMs) per 100,000 adults – Cameroon – 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.120._T.Y_GE15._T._T._T._T._T._T._T._T._T]
- Annual – Global – Number of automated teller machines (ATMs) per 100,000 adults – Canada – 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.124._T.Y_GE15._T._T._T._T._T._T._T._T._T]
- Annual – Global – Number of automated teller machines (ATMs) per 100,000 adults – Cabo Verde – 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.132._T.Y_GE15._T._T._T._T._T._T._T._T._T]
- Annual – Global – Number of automated teller machines (ATMs) per 100,000 adults – Central African Republic – 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.140._T.Y_GE15._T._T._T._T._T._T._T._T._T]
Showing results 1 - 10 / 2,678
Dimension codes and labels
[FREQ] Frequency
- [A] Annual
[REPORTING_TYPE] REPORTING_TYPE
- [G] Global
[SERIES] SERIES
- [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
- [FI_FSI_FSANL] Non-performing loans to total gross loans (%)
- [FI_FSI_FSERA] Return on assets (%)
- [FI_FSI_FSKA] Regulatory capital to assets (%)
- [FI_FSI_FSKNL] Non-performing loans net of provisions to capital (%)
- [FI_FSI_FSKRTC] Regulatory Tier 1 capital to risk-weighted assets (%)
- [FI_FSI_FSLS] Liquid assets to short term liabilities (%)
- [FI_FSI_FSSNO] Net open position in foreign exchange to capital (%)
- [GC_GOB_TAXD] Proportion of domestic budget funded by domestic taxes
- [GEMS_G14_PGETO_PT] Proportion of total government spending on essential services, total
- [GR_G14_GDP] Total government revenue as a proportion of GDP
- [GR_G14_XDC] Total government revenue, in local currency
- [SD_XPD_ESED] Proportion of total government spending on essential services, education
- [SG_XPD_HLTH] Proportion of total government spending on essential services, health
- [SG_XPD_PROT] Proportion of total government spending on essential services, social protection
[REF_AREA] REF_AREA
- [1] World
- [100] Bulgaria
- [104] Myanmar
- [108] Burundi
- [11] Western Africa
- [112] Belarus
- [116] Cambodia
- [12] Algeria
- [120] Cameroon
- [124] Canada
- [13] Central America
- [132] Cabo Verde
- [14] Eastern Africa
- [140] Central African Republic
- [142] Asia
- [143] Central Asia
- [144] Sri Lanka
- [145] Western Asia
- [148] Chad
- [15] Northern Africa
- [150] Europe
- [151] Eastern Europe
- [152] Chile
- [154] Northern Europe
- [155] Western Europe
- [156] China, P.R.: Mainland
- [17] Middle Africa
- [170] Colombia
- [174] Comoros
- [178] Congo, Republic of
- [18] Southern Africa
- [180] Congo, Democratic Republic of
- [184] Cook Islands
- [188] Costa Rica
- [19] Americas
- [191] Croatia
- [196] Cyprus
- [199] Least Developed Countries (LDCs)
- [2] Africa
- [202] Sub-Saharan Africa
- [203] Czech Republic
- [204] Benin
- [208] Denmark
- [21] Northern America
- [212] Dominica
- [214] Dominican Republic
- [218] Ecuador
- [222] El Salvador
- [226] Equatorial Guinea
- [231] Ethiopia
- [233] Estonia
- [24] Angola
- [242] Fiji
- [246] Finland
- [250] France
- [262] Djibouti
- [266] Gabon
- [268] Georgia
- [270] Gambia, The
- [276] Germany
- [28] Antigua and Barbuda
- [288] Ghana
- [29] Caribbean
- [296] Kiribati
- [30] Eastern Asia
- [300] Greece
- [308] Grenada
- [31] Azerbaijan, Republic of
- [32] Argentina
- [320] Guatemala
- [324] Guinea
- [328] Guyana
- [332] Haiti
- [34] Southern Asia
- [340] Honduras
- [344] China, P.R.: Hong Kong
- [348] Hungary
- [35] South-eastern Asia
- [352] Iceland
- [356] India
- [36] Australia
- [360] Indonesia
- [364] Iran, Islamic Republic of
- [368] Iraq
- [372] Ireland
- [376] Israel
- [380] Italy
- [384] Cote d'Ivoire
- [388] Jamaica
- [39] Southern Europe
- [392] Japan
- [398] Kazakhstan
- [4] Afghanistan, Islamic Republic of
- [40] Austria
- [400] Jordan
- [404] Kenya
- [410] Korea, Republic of
- [412] Kosovo, Republic of
- [414] Kuwait
- [417] Kyrgyz Republic
- [418] Lao People's Democratic Republic
- [419] Latin America and the Caribbean
- [422] Lebanon
- [426] Lesotho
- [428] Latvia
- [430] Liberia
- [432] Landlocked developing countries (LLDCs)
- [434] Libya
- [44] Bahamas, The
- [440] Lithuania
- [442] Luxembourg
- [446] China, P.R.: Macao
- [450] Madagascar
- [454] Malawi
- [458] Malaysia
- [462] Maldives
- [466] Mali
- [470] Malta
- [478] Mauritania
- [48] Bahrain, Kingdom of
- [480] Mauritius
- [484] Mexico
- [496] Mongolia
- [498] Moldova
- [499] Montenegro
- [5] South America
- [50] Bangladesh
- [500] Montserrat
- [504] Morocco
- [508] Mozambique
- [51] Armenia, Republic of
- [512] Oman
- [513] Northern America and Europe (SDG)
- [516] Namibia
- [52] Barbados
- [520] Nauru
- [524] Nepal
- [528] Netherlands
- [53] Australia and New Zealand
- [533] Aruba
- [54] Melanesia
- [548] Vanuatu
- [554] New Zealand
- [558] Nicaragua
- [56] Belgium
- [562] Niger
- [566] Nigeria
- [57] Micronesia
- [578] Norway
- [583] Micronesia, Federated States of
- [584] Marshall Islands, Republic of
- [585] Palau
- [586] Pakistan
- [591] Panama
- [598] Papua New Guinea
- [600] Paraguay
- [604] Peru
- [608] Philippines
- [61] Polynesia
- [616] Poland
- [62] Central Asia and Southern Asia (SDG)
- [620] Portugal
- [624] Guinea-Bissau
- [626] Timor-Leste, Dem. Rep. of
- [634] Qatar
- [64] Bhutan
- [642] Romania
- [643] Russian Federation
- [646] Rwanda
- [659] St. Kitts and Nevis
- [660] Anguilla
- [662] St. Lucia
- [670] St. Vincent and the Grenadines
- [674] San Marino
- [678] Sao Tome and Principe
- [68] Bolivia
- [682] Saudi Arabia
- [686] Senegal
- [688] Serbia, Republic of
- [690] Seychelles
- [694] Sierra Leone
- [70] Bosnia and Herzegovina
- [702] Singapore
- [703] Slovak Republic
- [704] Vietnam
- [705] Slovenia
- [706] Somalia
- [710] South Africa
- [716] Zimbabwe
- [72] Botswana
- [722] Small island developing States (SIDS)
- [724] Spain
- [728] South Sudan
- [729] Sudan
- [740] Suriname
- [747] Western Asia and Northern Africa (SDG)
- [748] Swaziland
- [752] Sweden
- [753] Eastern Asia and South-eastern Asia (SDG)
- [756] Switzerland
- [76] Brazil
- [760] Syrian Arab Republic
- [762] Tajikistan
- [764] Thailand
- [768] Togo
- [776] Tonga
- [780] Trinidad and Tobago
- [784] United Arab Emirates
- [788] Tunisia
- [792] Türkiye, Rep. of
- [8] Albania
- [800] Uganda
- [804] Ukraine
- [807] North Macedonia, Republic of
- [818] Egypt
- [826] United Kingdom
- [834] Tanzania
- [84] Belize
- [840] United States
- [854] Burkina Faso
- [858] Uruguay
- [860] Uzbekistan
- [862] Venezuela, Republica Bolivariana de
- [882] Samoa
- [894] Zambia
- [9] Oceania
- [90] Solomon Islands
- [96] Brunei Darussalam
[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