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Total value of inward and outward illicit financial flows (in current United States dollars)
{"1-2020 2019 jan"=>"a)2020/2019 January", "1-2021 2020 jan"=>"m)2021/2020 January", "10-2020 2019 oct"=>"j)2020/2019 October", "10-2021 2020 oct"=>"v)2021/2020 October", "11-2020 2019 nov"=>"k)2020/2019 November", "11-2021 2020 nov"=>"w)2021/2020 November", "12-2020 2019 dec"=>"l)2020/2019 December", "12-2021 2020 dec"=>"x)2021/2020 December", "2-2020 2019 feb"=>"b)2020/2019 February", "2-2021 2020 feb"=>"n)2021/2020 February", "2019 Q1"=>"a)2019 Q1", "2019 Q2"=>"b)2019 Q2", "2019 Q3"=>"c)2019 Q3", "2019 Q4"=>"d)2019 Q4", "2020 Q1"=>"e)2020 Q1", "2020 Q2"=>"f)2020 Q2", "2020 Q3"=>"g)2020 Q3", "2020 Q4"=>"h)2020 Q4", "2021 Q1"=>"i)2021 Q1", "2021 Q2"=>"j)2021 Q2", "2021 Q3"=>"k)2021 Q3", "2021 Q4"=>"l)2021 Q4", "3-2020 2019 mar"=>"c)2020/2019 March", "3-2021 2020 mar"=>"o)2021/2020 March", "4-2020 2019 apr"=>"d)2020/2019 April", "4-2021 2020 apr"=>"p)2021/2020 April", "5-2020 2019 may"=>"e)2020/2019 May", "5-2021 2020 may"=>"q)2021/2020 May", "6-2020 2019 june"=>"f)2020/2019 June", "6-2021 2020 june"=>"r)2021/2020 June", "7-2020 2019 july"=>"g)2020/2019 July", "7-2021 2020 july"=>"s)2021/2020 July", "8-2020 2019 aug"=>"h)2020/2019 August", "8-2021 2020 aug"=>"t)2021/2020 August", "9-2020 2019 sept"=>"i)2020/2019 September", "9-2021 2020 sept"=>"u)2021/2020 September", "April"=>"d)April", "April_2019"=>"d)April 2019", "April_2020"=>"p)April 2020", "April_2021"=>"ab)April 2021", "August"=>"h)August", "August_2019"=>"h)August 2019", "August_2020"=>"t)August 2020", "August_2021"=>"af)August 2021", "December"=>"l)December", "December_2019"=>"l)December 2019", "December_2020"=>"x)December 2020", "December_2021"=>"aj)December 2021", "February"=>"b)February", "February_2019"=>"b)February 2019", "February_2020"=>"n)February 2020", "February_2021"=>"z)February 2021", "January"=>"a)January", "January_2019"=>"a)January 2019", "January_2020"=>"m)January 2020", "January_2021"=>"y)January 2021", "July"=>"g)July", "July_2019"=>"g)July 2019", "July_2020"=>"s)July 2020", "July_2021"=>"ae)July 2021", "June"=>"f)June", "June_2019"=>"f)June 2019", "June_2020"=>"r)June 2020", "June_2021"=>"ad)June 2021", "March"=>"c)March", "March_2019"=>"c)March 2019", "March_2020"=>"o)March 2020", "March_2021"=>"aa)March 2021", "May"=>"e)May", "May_2019"=>"e)May 2019", "May_2020"=>"q)May 2020", "May_2021"=>"ac)May 2021", "November"=>"k)November", "November_2019"=>"k)November 2019", "November_2020"=>"w)November 2020", "November_2021"=>"ai)November 2021", "October"=>"j)October", "October_2019"=>"j)October 2019", "October_2020"=>"v)October 2020", "October_2021"=>"ah)October 2021", "September"=>"i)September", "September_2019"=>"i)September 2019", "September_2020"=>"u)September 2020", "September_2021"=>"ag)September 2021"} Value {"BOOL"=>"Boolean or binary measure", "CON_USD"=>"Constant USD", "CUR_LCU"=>"in BAM", "CUR_LCU_M"=>"Local currency (millions)", "CUR_NAC_1000"=>"in thousands of BAM", "CUR_NAC_1000000"=>"in millions of BAM", "CU_USD"=>"(nominal United States dollars)", "CU_USD_B"=>"(billions of nominal United States dollars)", "CU_USD_M"=>"Millions of current United States dollars", "DTHS_PER_1000000_POPY0T65"=>"Number of deaths per 100,000 population under the age of 65 years", "GPERM3"=>"Grams per cubic meter (g/m3)", "GWh"=>"GWh", "HA_A"=>"Area, in hectares", "HA_TH"=>"HA_TH", "IX"=>"Index", "KG"=>"Kilograms", "KG_PER_CON_USD"=>"Kilograms per constant USD", "KM2"=>"Square kilometers", "LITRES"=>"LITRES", "MGPERM3"=>"Micrograms per cubic meter", "MILLIONS"=>"MILLIONS", "MJ_PER_GDP_CON_PPP_USD"=>"Megajoules per USD constant PPP GDP", "MT_CO2E"=>"Million tons of CO2 equivalent", "M_M3_PER_YR"=>"Million of cubic metres per annum", "NUMBER"=>"Number", "PER_1000000_POP"=>"Per million population", "PER_100000_APOP"=>"Per 100,000 adults", "PER_100000_DEATHS"=>"Per 100,000 deaths", "PER_100000_LIVE_BIRTHS"=>"Per 100,000 live births", "PER_100000_POP"=>"Per 100,000 population", "PER_10000_POP"=>"Per 10,000 population", "PER_1000_LIVE_BIRTHS"=>"Per 1,000 live births", "PER_1000_POP"=>"Per 1,000 population", "PER_1000_POPFEM_AG"=>"Per 1,000 women in the age group", "PER_1000_UNINFECTED_POP"=>"Per 1,000 uninfected population", "PER_100_POP"=>"Per 100 population", "PT"=>"Percent", "P_KM"=>"Passenger kilometres", "P_KM_MIL"=>"Passenger kilometres, millions", "RO"=>"Ratio", "SCORE"=>"Score", "THOUSANDS"=>"THOUSANDS", "THOUS_M3"=>"Thousand of cubic metres", "TONNES"=>"TONNES", "TONNES_M"=>"TONNES_M", "TONNES_T"=>"Thousand of tonnes", "T_KM"=>"Tonne kilometres", "T_KM_MIL"=>"Tonne kilometres, millions", "UNIT_MEASURE"=>"Unit of measure", "USD"=>"USD", "USD/m3"=>"USD/m3"} {"AG_FOOD_WST"=>"Food waste (Tonnes)", "AG_FOOD_WST_PC"=>"Food waste per capita (KG)", "AG_FPA_CFPI"=>"Consumer Food Price Index", "AG_LND_DGRD"=>"Proportion of land that is degraded over total land area", "AG_LND_FRST"=>"Forest area as a proportion of total land area", "AG_LND_FRSTBIOPHA"=>"Above-ground biomass in forest per hectare (tonnes per hectare)", "AG_LND_FRSTCERT"=>"Forest area certified under an independently verified certification scheme (hectares)", "AG_LND_FRSTCHG"=>"Forest area net change rate (%)", "AG_LND_FRSTN"=>"Forest area (hectares)", "AG_LND_TOTL"=>"Land area (hectares)", "AG_PRD_AGVAS"=>"Agriculture value added share of GDP", "AG_PRD_FIESMS"=>"Prevalence of moderate or severe food insecurity in the population", "AG_PRD_FIESMSN"=>"Population in moderate or severe food insecurity (number)", "AG_PRD_FIESS"=>"Prevalence of severe food insecurity in the population", "AG_PRD_FIESSN"=>"Population in severe food insecurity (number)", "BX_TRF_PWKR"=>"Volume of remittances (in United States dollars) as a proportion of total GDP", "DC_FTA_TOTAL"=>"Total official development assistance (gross disbursement) for technical cooperation", "DC_ODA_BDPE"=>"Public expenditure on conservation and sustainable use of biodiversity and ecosystems", "DC_ODA_BDVL"=>"Total official development assistance for biodiversity, by recipient countries (millions of constant 2020 United States dollars)", "DC_ODA_POVLG"=>"Official development assistance grants for poverty reduction, by recipient countries (percentage of GNI)", "DC_TOF_AGRL"=>"Total official flows (disbursements) for agriculture, by recipient countries", "DC_TOF_HLTHL"=>"Total official development assistance to medical research and basic heath sectors, gross disbursement, by recipient countries (millions of constant 2020 United States dollars)", "DC_TOF_HLTHNT"=>"Total official development assistance to medical research and basic heath sectors, net disbursement, by recipient countries (millions of constant 2020 United States dollars)", "DC_TOF_INFRAL"=>"Total official flows for infrastructure, by recipient countries (millions of constant 2020 United States dollars)", "DC_TOF_SCHIPSL"=>"Total official flows for scholarships, by recipient countries", "DC_TOF_TRDCML"=>"Total official flows (commitments) for Aid for Trade, by recipient countries (millions of constant 2020 United States dollars)", "DC_TOF_TRDDBML"=>"Total official flows (disbursement) for Aid for Trade, by recipient countries (millions of constant 2020 United States dollars)", "DC_TOF_WASHL"=>"Total official development assistance (gross disbursement) for water supply and sanitation, by recipient countries (millions of constant 2020 United States dollars)", "DC_TRF_TOTL"=>"Total assistance for development, by recipient countries", "DC_TRF_TOTLDIS"=>"Total foreign direct investment stocks as on 31 Dec", "DC_TRF_TOTLFDI"=>"Total foreign direct investment flows", "DI_SUSP_TRS"=>"Value of suspicious transactions for money laundering and terrorist financing - banks of Republika Srpska", "DT_TDS_DECT"=>"Debt service as a proportion of exports of goods and services", "EG_ACS_ELEC"=>"Proportion of population with access to electricity", "EG_ACS_ELECHH"=>"Percentage of households with access to electricity in main dwelling unit", "EG_EGY_CLEAN"=>"Proportion of population with primary reliance on clean fuels and technology", "EG_EGY_PRIM"=>"Energy intensity level of primary energy (megajoules per constant 2017 purchasing power parity GDP)", "EG_FEC_RNEW"=>"Renewable energy share in the total final energy consumption", "EG_TBA_H2CO"=>"Proportion of transboundary basins (river and lake basins and aquifers) with an operational arrangement for water cooperation", "EG_TBA_H2COAQ"=>"Proportion of transboundary aquifers with an operational arrangement for water cooperation", "EG_TBA_H2CORL"=>"Proportion of transboundary river and lake basins with an operational arrangement for water cooperation", "EN_ATM_CO2"=>"Carbon dioxide emissions from fuel combustion", "EN_ATM_CO2GDP"=>"Carbon dioxide emissions per unit of GDP (kilogrammes of CO2 per constant 2017 United States dollars)", "EN_ATM_CO2MVA"=>"Carbon dioxide emissions per unit of manufacturing value added (kilogrammes of CO2 per constant 2015 United States dollars)", "EN_ATM_GHGT_NAIP"=>"Total greenhouse gas emissions without LULUCF for non-Annex I Parties (Mt CO₂ equivalent)", "EN_ATM_PM25"=>"Annual mean levels of fine particulate matter (population-weighted), by location (micrograms per cubic meter)", "EN_EWT_COLLPCAP"=>"Electronic waste collected, per capita", "EN_EWT_COLLR"=>"Electronic waste collection rate", "EN_EWT_COLLV"=>"Electronic waste collected", "EN_EWT_GENPCAP"=>"Electronic waste generated, per capita (Kg)", "EN_EWT_GENV"=>"Electronic waste generated (Tonnes)", "EN_EWT_RCYPCAP"=>"Electronic waste recycling, per capita (Kg)", "EN_EWT_RCYR"=>"Electronic waste recycling, rate (%)", "EN_EWT_RCYV"=>"Electronic waste recycling (Tonnes)", "EN_H2O_GRAMBQ"=>"Proportion of groundwater bodies with good ambient water quality", "EN_H2O_OPAMBQ"=>"Proportion of open water bodies with good ambient water quality", "EN_H2O_RVAMBQ"=>"Proportion of river water bodies with good ambient water quality", "EN_H2O_WBAMBQ"=>"Proportion of bodies of water with good ambient water quality", "EN_H2O_WQBODS"=>"Average annual values of biochemical oxygen demand in a river water (BOD5) - Sava River Basin (District) (g/m3)", "EN_H2O_WQBODT"=>"Average annual values of biochemical oxygen demand in a river water (BOD5) - Trebišnjica River Basin (District) (g/m3)", "EN_H2O_WQNS"=>"Average annual values of total nitrogen in a river water (total N) - Sava River Basin (District) (g/m3)", "EN_H2O_WQNT"=>"Average annual values of total nitrogen in a river water (total N) - Trebišnjica River Basin (District) (g/m3)", "EN_H2O_WQPS"=>"Average annual values of total phosphorus in a river water (total P) - Sava River Basin (District) (g/m3)", "EN_H2O_WQPT"=>"Average annual values of total phosphorus in a river water (total P) - Trebišnjica River Basin (District) (g/m3)", "EN_HAZ_EXP"=>"Hazardous waste exported", "EN_HAZ_GENGDP"=>"Hazardous waste generated, per unit of GDP", "EN_HAZ_GENV"=>"Hazardous waste generated (Tonnes)", "EN_HAZ_IMP"=>"Hazardous waste imported", "EN_HAZ_PCAP"=>"Hazardous waste generated, per capita (Kg)", "EN_HAZ_TREATV"=>"Hazardous waste treated, by type of treatment", "EN_LKRV_PWAC"=>"Lakes and rivers permanent water area change (%)", "EN_LKRV_PWAN"=>"Lakes and rivers permanent water area (square kilometres)", "EN_LKRV_PWAP"=>"Lakes and rivers permanent water area (% of total land area)", "EN_LKRV_SWAC"=>"Lakes and rivers seasonal water area change (%)", "EN_LKRV_SWAN"=>"Lakes and rivers seasonal water area (square kilometres)", "EN_LKRV_SWAP"=>"Lakes and rivers seasonal water area (% of total land area)", "EN_LKW_QLTRB"=>"Lake water quality turbidity (%)", "EN_LKW_QLTRST"=>"Lake water quality trophic state (%)", "EN_LND_DWPDAMP"=>"Households’ problems with the dwelling - damp walls/floors/foundations", "EN_LND_DWPDW"=>"Households’ problems with the dwelling - rotten window frames or doors", "EN_LND_DWPNOISE"=>"Households’ problems with the dwelling - noise", "EN_LND_DWPROOF"=>"Households’ problems with the dwelling - leaking roof", "EN_LND_SLUM"=>"Proportion of urban population living in slums", "EN_MAR_BEALITSQ"=>"Beach litter per square kilometer", "EN_MAT_DOMCMPC"=>"Domestic material consumption per capita, by type of raw material", "EN_MAT_DOMCMPG"=>"Domestic material consumption per unit of GDP, by type of raw material (kilograms per constant 2015 United States dollars)", "EN_MAT_DOMCMPT"=>"Domestic material consumption", "EN_MWT_COLLV"=>"Municipal waste generated", "EN_MWT_GENV"=>"Municipal waste generated", "EN_MWT_TREATR"=>"Municipal waste treated, by type of treatment", "EN_REF_WASCOL"=>"Municipal Solid Waste collection coverage, by cities (%)", "EN_REF_WASDELT"=>"Municipal waste delivered for treatment", "EN_REF_WASGENT"=>"Total generated municipal waste", "EN_REF_WASTSHR"=>"Share of treated municipal waste", "EN_RSRV_MNWAN"=>"Reservoir minimum water area (square kilometres)", "EN_RSRV_MNWAP"=>"Reservoir minimum water area (% of total land area)", "EN_RSRV_MXWAN"=>"Reservoir maximum water area (square kilometres)", "EN_RSRV_MXWAP"=>"Reservoir maximum water area (% of total land area)", "EN_SCP_FRMN"=>"Number of companies publishing sustainability reports with disclosure by dimension, by level of requirement", "EN_SCP_FSHGDP"=>"Sustainable fisheries as a proportion of GDP", "EN_TWT_GENV"=>"Total waste generation, by activity", "EN_WBE_HMWTL"=>"Extent of human made wetlands (square kilometres)", "EN_WBE_INWTL"=>"Extent of inland wetlands (square kilometres)", "EN_WBE_MANGBN"=>"Mangrove area baseline (square kilometres)", "EN_WBE_MANGC"=>"Mangrove total area change (%)", "EN_WBE_MANGGN"=>"Mangrove area gain (square kilometres)", "EN_WBE_MANGGP"=>"Mangrove area gain (%)", "EN_WBE_MANGLN"=>"Mangrove area loss (square kilometres)", "EN_WBE_MANGLP"=>"Mangrove area loss (%)", "EN_WBE_MANGN"=>"Mangrove area (square kilometres)", "EN_WBE_NDQTGRW"=>"Nationally derived quantity of groundwater (millions of cubic metres per annum)", "EN_WBE_NDQTRVR"=>"Nationally derived quantity of rivers (million of cubic metres per annum)", "EN_WBE_PMNR"=>"Water body extent (permanent) (square kilometres)", "EN_WBE_PMPN"=>"Water body extent (permanent and maybe permanent) (square kilometres)", "EN_WBE_PMPR"=>"Water body extent (permanent) (% of total land area)", "EN_WBE_WTLN"=>"Wetlands area (square kilometres)", "EN_WBE_WTLP"=>"Wetlands area (% of total land area)", "EN_WWT_GEN"=>"Total wastewater generated (million m3/year)", "EN_WWT_TREAT"=>"Total wastewater treated (million m3/year)", "EN_WWT_TREATMUN"=>"Treated municipal wastewater (thous. m3)", "EN_WWT_TREATPOP"=>"Population connected to at least secondary wastewater treatment (%)", "EN_WWT_TREATR"=>"Proportion of wastewater treated, by activity and location (%)", "EN_WWT_WWDS"=>"Proportion of safely treated domestic wastewater flows", "ER_BDY_ABT2NP"=>"Countries that established national targets in accordance with Aichi Biodiversity Target 2 of the Strategic Plan for Biodiversity 2011-2020 in their National Biodiversity Strategy and Action Plans (1 = YES; 0 = NO)", "ER_BDY_SEEA"=>"Countries with integrated biodiversity values into national accounting and reporting systems, defined as implementation of the System of Environmental-Economic Accounting (1 = YES; 0 = NO)", "ER_CBD_ABSCLRHS"=>"Countries that have legislative, administrative and policy framework or measures reported to the Access and Benefit-Sharing Clearing-House (1 = YES; 0 = NO)", "ER_CBD_NAGOYA"=>"Countries that are parties to the Nagoya Protocol (1 = YES; 0 = NO)", "ER_CBD_ORSPGRFA"=>"Countries that have legislative, administrative and policy framework or measures reported through the Online Reporting System on Compliance of the International Treaty on Plant Genetic Resources for Food and Agriculture (PGRFA) (1 = YES; 0 = NO)", "ER_CBD_PTYPGRFA"=>"Countries that are contracting Parties to the International Treaty on Plant Genetic Resources for Food and Agriculture (PGRFA) (1 = YES; 0 = NO)", "ER_CBD_SMTA"=>"Total reported number of Standard Material Transfer Agreements (SMTAs) transferring plant genetic resources for food and agriculture to the country", "ER_FFS_CMPT_CD"=>"Fossil-fuel subsidies (consumption and production) (billions of nominal United States dollars)", "ER_FFS_CMPT_GDP"=>"Fossil-fuel subsidies (consumption and production) as a proportion of total GDP (%)", "ER_FFS_CMPT_PC_CD"=>"Fossil-fuel subsidies (consumption and production) per capita (nominal United States dollars)", "ER_GRF_ANIMRCNTN"=>"Number of local breeds for which sufficient genetic resources are stored for reconstitution", "ER_GRF_PLNTSTOR"=>"Plant genetic resources accessions stored ex situ (number)", "ER_H2O_IWRMD"=>"Degree of integrated water resources management implementation", "ER_H2O_IWRMD_EE"=>"Degree of integrated water resources management implementation, enabling environment", "ER_H2O_IWRMD_FI"=>"Degree of integrated water resources management implementation, financing", "ER_H2O_IWRMD_IP"=>"Degree of integrated water resources management implementation, institutions and participation", "ER_H2O_IWRMD_MI"=>"Degree of integrated water resources management implementation, management instruments", "ER_H2O_IWRMP"=>"Proportion of countries by IWRM implementation category (%)", "ER_H2O_PRDU"=>"Countries with procedures in law or policy for participation by service users/communities in planning program in rural drinking-water supply, by level of definition in procedures (10 = Clearly defined; 5 = Not clearly defined ; 0 = NA)", "ER_H2O_RURP"=>"Countries with users/communities participating in planning programs in rural drinking-water supply, by level of participation (3 = High; 2 = Moderate; 1 = Low; 0 = NA)", "ER_H2O_STRESS"=>"Level of water stress: freshwater withdrawal as a proportion of available freshwater resources", "ER_H2O_WUEYST"=>"Water Use Efficiency (United States dollars per cubic meter)", "ER_IAS_GLOFUN"=>"Recipient countries of global funding with access to any funding from global financial mechanisms for projects related to invasive alien species management (1 = YES, 0 = NO)", "ER_IAS_LEGIS"=>"Legislation, Regulation, Act related to the prevention of introduction and management of Invasive Alien Species (1 = YES, 0 = NO)", "ER_IAS_NATBUD"=>"Countries with an allocation from the national budget to manage the threat of invasive alien species (1 = YES, 0 = NO)", "ER_IAS_NBSAP"=>"National Biodiversity Strategy and Action Plan (NBSAP) targets alignment to Aichi Biodiversity target 9 set out in the Strategic Plan for Biodiversity 2011-2020 (1 = YES, 0 = NO)", "ER_MRN_MARIN"=>"Coverage of protected areas in relation to marine areas (Exclusive Economic Zones) (%)", "ER_MRN_MARINT"=>"Protected marine area (Exclusive Economic Zones) (square kilometres)", "ER_MRN_MPA"=>"Average proportion of Marine Key Biodiversity Areas (KBAs) covered by protected areas (%)", "ER_MTN_GRNCOV"=>"Mountain green cover area (square kilometres)", "ER_MTN_GRNCVI"=>"Mountain Green Cover Index", "ER_MTN_TOTL"=>"Mountain area (square kilometres)", "ER_PTD_FRHWTR"=>"Average proportion of Freshwater Key Biodiversity Areas (KBAs) covered by protected areas", "ER_PTD_FRHWTREC"=>"Freshwater ecosystems", "ER_PTD_MTN"=>"Average proportion of Mountain Key Biodiversity Areas (KBAs) covered by protected areas", "ER_PTD_MTNEC"=>"Mountain ecosystems", "ER_PTD_TERR"=>"Average proportion of Terrestrial Key Biodiversity Areas (KBAs) covered by protected areas", "ER_PTD_TERREC"=>"Terrestrial ecosystems", "ER_RSK_LBREDS"=>"Proportion of local breeds classified as being at risk as a share of local breeds with known level of extinction risk (%)", "ER_RSK_LST"=>"Red List Index", "ER_RSK_LSTEDS"=>"List of endangered species", "ER_RSK_LSTI"=>"Red List Index", "ER_WAT_PART"=>"Countries with users/communities participating in planning programs in water resources planning and management, by level of participation (3 = High; 2 = Moderate; 1 = Low; 0 = NA)", "ER_WAT_PRDU"=>"Countries with procedures in law or policy for participation by service users/communities in planning program in water resources planning and management, by level of definition in procedures (10 = Clearly defined; 5 = Not clearly defined ; 0 = NA)", "FB_ATM_TOTL"=>"b. Number of automated teller machines (ATMs)", "FB_BNK_ACCSS"=>"Proportion of adults (15 years and older) with an account at a financial institution or mobile-money-service provider", "FB_BNK_ACCSS_ILF"=>"Proportion of adults (15 years and older) active in the labor force with an account at a financial institution or mobile-money-service provider (% of adults aged 15 years and older)", "FB_BNK_ACCSS_OLF"=>"Proportion of adults (15 years and older) out of labor force with an account at a financial institution or mobile-money-service provider (% of adults aged 15 years and older)", "FB_CBK_BRCH"=>"a. Number of commercial bank branches", "FC_ACC_SSID"=>"Proportion of small-scale industries with a loan or line of credit", "FI_FSI_FSANL"=>"NPLs to total loans (%)", "FI_FSI_FSERA"=>"ROA (%)", "FI_FSI_FSERSC"=>"ROE (%)", "FI_FSI_FSFCLI"=>"Forex liabilities to total liabilities (%)", "FI_FSI_FSINOIRE"=>"Non-interest expenses to gross income (%)", "FI_FSI_FSINTIRI"=>"Net interest income to gross income (%)", "FI_FSI_FSKA"=>"Capital to assets (%)", "FI_FSI_FSKNL"=>"NPLs net of provisions to Tier 1 (%)", "FI_FSI_FSKRTC"=>"Tier 1 capital to total risk exposure amount (%)", "FI_FSI_FSLDC"=>"Deposits to loans (%)", "FI_FSI_FSLS"=>"Liquid assets to short-term financial liabilities (%)", "FI_FSI_FSLSTA"=>"Liquid assets to total assets (%)", "FI_FSI_FSNPA"=>"NPAs to total assets (%)", "FI_FSI_FSNPALC"=>"NPAs net of provisions to Tier 1 (%)", "FI_FSI_FSRCER"=>"Own funds to total risk exposure amount (%)", "FI_FSI_FSSFCLN"=>"Forex and indexed loans to total loans (%)", "FI_FSI_FSSNO"=>"Net open position (%)", "FI_FSI_FSSTL"=>"Short-term financial liabilities to total financial liabilities (%)", "GB_POP_SCIERD"=>"Researchers (in full-time equivalent) per million inhabitants", "GB_XPD_CULNAT_PB"=>"Total expenditure per capita spent on cultural and natural heritage, public (PPP, constant 2017 United States dollars)", "GB_XPD_CULNAT_PBPV"=>"Total expenditure per capita spent on cultural and natural heritage, public and private (PPP, constant 2017 United States dollars)", "GB_XPD_CULNAT_PV"=>"Total expenditure per capita spent on cultural and natural heritage, private (PPP, constant 2017 United States dollars)", "GB_XPD_CUL_PBPV"=>"Total expenditure per capita spent on cultural heritage, public and private (PPP, constant 2017 United States dollars)", "GB_XPD_NAT_PBPV"=>"Total expenditure per capita spent on natural heritage, public and private (PPP, constant 2017 United States dollars)", "GB_XPD_RSDSEC"=>"Gross domestic expenditure on research and development, by sector", "GB_XPD_RSDV"=>"Research and development expenditure as a proportion of GDP (%)", "GC_GOB_TAXD"=>"Proportion of domestic budget funded by domestic taxes", "GF_FRN_FDI"=>"Foreign direct investment (FDI) inflows", "GF_XPD_GBPC"=>"Primary government expenditures as a proportion of original approved budget", "GR_G14_GDP"=>"Total government revenue as a proportion of GDP", "GR_G14_XDC"=>"Total government revenue, in local currency", "IC_FRM_BRIB"=>"Bribery incidence (% of firms experiencing at least one bribe payment request)", "IC_GEN_MGTL"=>"Proportion of women in managerial positions", "IC_GEN_MGTN"=>"Proportion of women in senior and middle management positions", "IS_RDP_FRGVOL"=>"Volume of goods transport", "IS_RDP_PFVOL"=>"Volume of passenger transport", "IT_MOB_2GNTWK"=>"Proportion of population covered by at least a 2G mobile network", "IT_MOB_3GNTWK"=>"Proportion of population covered by at least a 3G mobile network", "IT_MOB_4GNTWK"=>"Proportion of population covered by at least a 4G mobile network", "IT_NET_BBND"=>"Fixed broadband subscriptions per 100 inhabitants", "IT_NET_BBNDN"=>"Fixed broadband subscriptions (number)", "IT_USE_II99"=>"Internet users per 100 inhabitants", "IT_USE_LTMN"=>"Percentage of individuals aged 16–74 years who used the Internet in the last three months", "IU_COR_BRIB"=>"Prevalence rate of bribery", "NV_IND_MANF"=>"Manufacturing value added as a proportion of GDP, current prices (%)", "NV_IND_MANFPC"=>"Manufacturing value added per capita (constant 2015 United States dollars)", "NV_IND_MANF_CD"=>"Manufacturing value added (current United States dollars) as a proportion of GDP (%)", "NV_IND_SSIS"=>"Proportion of small-scale industries in total industry value added", "NV_IND_TECH"=>"Proportion of medium and high-tech industry value added in total value added", "NY_GDP_PCAP"=>"Annual growth rate of real GDP per capita", "PD_AGR_LSFP"=>"Productivity of large-scale food producers (agricultural output per labour day, PPP) (constant 2011 international $)", "PD_AGR_SSFP"=>"Productivity of small-scale food producers (agricultural output per labour day, PPP) (constant 2011 international $)", "SD_CPA_UPRDP"=>"Countries that have national urban policies or regional development plans that respond to population dynamics; ensure balanced territorial development; and increase local fiscal space (1 = YES; 0 = NO) \nSD_CPA_UPRDP", "SERIES"=>"SDG Series", "SE_ADT_ACTS"=>"Proportion of youth and adults with information and communications technology (ICT) skills", "SE_ADT_ACTSI"=>"Percentage of persons aged 16–74 years who used the Internet in the last three months", "SE_ADT_ACTSPC"=>"Percentage of persons aged 16–74 years who used a computer in the last three months", "SE_ADT_EDUCTRN"=>"Participation rate in formal and non-formal education and training", "SE_AGP_CPRA"=>"Adjusted gender parity index for completion rate, by sex, location, wealth quintile and education level", "SE_ALP_CPLR"=>"Adjusted location parity index for completion rate, by sex, location, wealth quintile and education level", "SE_AWP_CPRA"=>"Adjusted wealth parity index for completion rate, by sex, location, wealth quintile and education level", "SE_DEV_ONTRK"=>"Early childhood development index - percentage of children aged 36–59 months who are developmentally on track in at least three of the following domains: literacy, numeracy, physical development, social and emotional development, and learning", "SE_GCEDESD_CUR"=>"Extent to which global citizenship education and education for sustainable development are mainstreamed in curricula", "SE_GCEDESD_NEP"=>"Extent to which global citizenship education and education for sustainable development are mainstreamed in national education policies", "SE_GCEDESD_SAS"=>"Extent to which global citizenship education and education for sustainable development are mainstreamed in student assessment", "SE_GCEDESD_TED"=>"Extent to which global citizenship education and education for sustainable development are mainstreamed in teacher education", "SE_GPI_ICTS"=>"Gender parity index for youth/adults with information and communications technology (ICT) skills, by type of skill (ratio)", "SE_GPI_PART"=>"Adjusted gender parity index for participation rate in formal and non-formal education and training (ratio)", "SE_GPI_PTNPRE"=>"Adjusted gender parity index for participation rate in organized learning (one year before the official primary entry age), (ratio)", "SE_IMP_FPOF"=>"Adjusted immigration status parity index for achieving at least a fixed level of proficiency in functional skills, by numeracy/literacy skills (ratio)", "SE_LGP_ACHI"=>"Language test parity index for achievement", "SE_NAP_ACHI"=>"Adjusted immigration status parity index for achieving a minimum proficiency level in reading and mathematics (ratio)", "SE_PRE_PARTN"=>"Percentage of children aged five years participating in a preschool education and upbringing programme prior to the start of primary school", "SE_TOT_CPLR"=>"Completion rate, by sex, location, wealth quintile and education level (%)", "SE_TOT_GPI"=>"Adjusted gender parity index for achieving a minimum proficiency level in reading and mathematics (ratio)", "SE_TOT_GPI_FS"=>"Adjusted gender parity index for achieving a minimum proficiency level in reading and mathematics (ratio)", "SE_TOT_PRFL"=>"Proportion of children and young people achieving a minimum proficiency level in reading and mathematics", "SE_TOT_RUPI"=>"Adjusted rural to urban parity index for achieving a minimum proficiency level in reading and mathematics (ratio)", "SE_TOT_SESPI"=>"Adjusted low to high socio-economic parity index for achieving a minimum proficiency level in reading and mathematics (ratio)", "SE_TRA_GRDL"=>"Proportion of teachers with the minimum required qualifications, by education level and sex (%)", "SG_DMK_PARLCC_JC"=>"Number of chairs of permanent committees, by age sex and focus of the committee, Joint Committees", "SG_DMK_PARLCC_LC"=>"Number of chairs of permanent committees, by age, sex and focus of the committee, Lower Chamber or Unicameral", "SG_DMK_PARLCC_UC"=>"Number of chairs of permanent committees, by age, sex and focus of the committee, Upper Chamber", "SG_DMK_PARLMP_LC"=>"Ratio for female members of parliaments (Ratio of the proportion of women in parliament in the proportion of women in the national population with the age of eligibility as a lower bound boundary), Lower Chamber or Unicameral", "SG_DMK_PARLMP_UC"=>"Ratio for female members of parliaments (Ratio of the proportion of women in parliament in the proportion of women in the national population with the age of eligibility as a lower bound boundary), Upper Chamber", "SG_DMK_PARLSP_LC"=>"Number of speakers in parliament, by age and sex, Lower Chamber or Unicameral", "SG_DMK_PARLSP_UC"=>"Number of speakers in parliament, by age and sex, Upper Chamber", "SG_DMK_PARLYN_LC"=>"Number of youth in parliament (age 45 or below), Lower Chamber or Unicameral", "SG_DMK_PARLYN_UC"=>"Number of youth in parliament (age 45 or below), Upper Chamber", "SG_DMK_PARLYP_LC"=>"Proportion of youth in parliament (age 45 or below), Lower Chamber or Unicameral", "SG_DMK_PARLYP_UC"=>"Proportion of youth in parliament (age 45 or below), Upper Chamber", "SG_DMK_PARLYR_LC"=>"Ratio of young members in parliament (Ratio of the proportion of young members in parliament (age 45 or below) in the proportion of the national population (age 45 or below) with the age of eligibility as a lower bound boundary), Lower Chamber or Unicameral", "SG_DMK_PARLYR_UC"=>"Ratio of young members in parliament (Ratio of the proportion of young members in parliament (age 45 or below) in the proportion of the national population (age 45 or below) with the age of eligibility as a lower bound boundary), Upper Chamber", "SG_DMK_PSRVC"=>"Proportions of positions in the public service compared to national distributions (ratio)", "SG_DSR_LGRGSR"=>"Score of adoption and implementation of national DRR strategies in line with the Sendai Framework", "SG_DSR_SFDRR"=>"Number of countries that reported having a National DRR Strategy which is aligned to the Sendai Framework", "SG_DSR_SILN"=>"Number of local governments that adopt and implement local DRR strategies in line with national strategies", "SG_DSR_SILS"=>"Proportion of local governments that adopt and implement local disaster risk reduction strategies in line with national disaster risk reduction strategies", "SG_GEN_EQPWN"=>"Proportion of countries with systems to track and make public allocations for gender equality and women's empowerment", "SG_GEN_LOCGELS"=>"Proportion of elected seats held by women in deliberative bodies of local government", "SG_GEN_LPARL"=>"Proportion of seats held by women in city/municipal assemblies, according to the results of the Local Election", "SG_GEN_PARL"=>"Proportion of seats held by women in national parliaments (% of total number of seats)", "SG_GEN_PARLN"=>"Current number of seats in national parliaments (number)", "SG_GEN_PARLNT"=>"Number of seats in national parliaments", "SG_GOV_LOGV"=>"Number of local governments", "SG_HAZ_CMRBASEL"=>"Compliance with the Basel Convention on hazardous waste and other chemicals", "SG_HAZ_CMRMNTRL"=>"Compliance with the Montreal Protocol on hazardous waste and other chemicals", "SG_HAZ_CMRROTDAM"=>"Compliance with the Rotterdam Convention on hazardous waste and other chemicals", "SG_HAZ_CMRSTHOLM"=>"Compliance with the Stockholm Convention on hazardous waste and other chemicals", "SG_INF_ACCSS"=>"Countries that adopt and implement constitutional, statutory and/or policy guarantees for public access to information", "SG_INT_MBRDEV"=>"Proportion of members of developing countries in international organizations, by organization", "SG_INT_VRTDEV"=>"Proportion of voting rights of developing countries in international organizations, by organization", "SG_LGL_GENEQEMP"=>"Legal frameworks that promote, enforce and monitor gender equality (percentage of achievement, 0 - 100) - Area 3: employment and economic benefits", "SG_LGL_GENEQLFP"=>"Legal frameworks that promote, enforce and monitor gender equality (percentage of achievement, 0 - 100) - Area 1: overarching legal frameworks and public life", "SG_LGL_GENEQMAR"=>"Legal frameworks that promote, enforce and monitor gender equality (percentage of achievement, 0 - 100) - Area 4: marriage and family", "SG_LGL_GENEQVAW"=>"Legal frameworks that promote, enforce and monitor gender equality (percentage of achievement, 0 - 100) - Area 2: violence against women", "SG_LGL_LNDFEMOD"=>"Degree to which the legal framework (including customary law) guarantees women’s equal rights to land ownership and/or control (1=No evidence to 6=Highest levels of guarantees)", "SG_NHR_IMPLN"=>"Countries with National Human Rights Institutions in compliance with the Paris Principles, A status (1 = YES; 0 = NO)", "SG_NHR_NOAPPLN"=>"Countries with no application for accreditation with the Paris Principles, D status (1 = YES; 0 = NO)", "SG_PLN_RECNDI"=>"Proportion of new development interventions drawn from country-led result frameworks - data by recipient (%)", "SG_PLN_RECRICTRY"=>"Proportion of results indicators drawn from country-led results frameworks - data by recipient (%)", "SG_PLN_RECRIMON"=>"Proportion of results indicators which will be monitored using government sources and monitoring systems - data by recipient (%)", "SG_PLN_REPOLRES"=>"Extent of use of country-owned results frameworks and planning tools by providers of development cooperation - data by recipient (%)", "SG_REG_BRTH"=>"Proportion of children under 5 years of age whose births have been registered with a civil authority", "SG_REG_BRTH90N"=>"Countries with birth registration data that are at least 90 percent complete (1 = YES; 0 = NO)", "SG_REG_CENSUSN"=>"Countries that have conducted at least one population and housing census in the last 10 years (1 = YES; 0 = NO)", "SG_REG_DETH75N"=>"Countries with death registration data that are at least 75 percent complete (1 = YES; 0 = NO)", "SG_STT_CAPTY"=>"Dollar value of all resources made available to strengthen statistical capacity in developing countries", "SG_STT_FPOS"=>"Countries with national statistical legislation exists that complies with the Fundamental Principles of Official Statistics (1 = YES; 0 = NO)", "SG_STT_NSDSFDDNR"=>"Countries with national statistical plans with funding from donors (1 = YES; 0 = NO)", "SG_STT_NSDSFDGVT"=>"Countries with national statistical plans with funding from Government (1 = YES; 0 = NO)", "SG_STT_NSDSFND"=>"Countries with national statistical plans that are fully funded (1 = YES; 0 = NO)", "SG_STT_NSDSIMPL"=>"Countries with national statistical plans that are under implementation (1 = YES; 0 = NO)", "SH_AAP_ASMORT"=>"Age-standardized mortality rate attributed to ambient air pollution", "SH_AAP_MORT"=>"Crude death rate attributed to ambient air pollution", "SH_ACS_DTP3"=>"Proportion of the target population with access to 3 doses of diphtheria-tetanus-pertussis (DTP3)", "SH_ACS_MCV2"=>"Proportion of the target population with access to measles-containing-vaccine second-dose (MCV2)", "SH_ACS_PCV3"=>"Proportion of the target population with access to pneumococcal conjugate 3rd dose (PCV3) (%)", "SH_ACS_UNHC"=>"Universal health coverage (UHC) service coverage index", "SH_ALC_CONSPT"=>"Alcohol consumption per capita (aged 15 years and older) within a calendar year", "SH_BLD_ECOLI"=>"Percentage of bloodstream infection due to Escherichia coli resistant to 3rd-generation cephalosporin (e.g., ESBL- E. coli) among patients seeking care and whose blood sample is taken and tested", "SH_BLD_MRSA"=>"Percentage of bloodstream infection due to methicillin-resistant Staphylococcus aureus (MRSA) among patients seeking care and whose blood sample is taken and tested", "SH_DTH_NCD"=>"Number of deaths attributed to non-communicable diseases, by type of disease and sex (number)", "SH_DTH_NCOM"=>"Mortality rate attributed to cardiovascular disease, cancer, diabetes or chronic respiratory disease", "SH_DYN_IMRT"=>"Infant mortality rate", "SH_DYN_IMRTN"=>"Infant deaths (number)", "SH_DYN_MORT"=>"Under-five mortality rate", "SH_DYN_MORTN"=>"Under-five deaths (number)", "SH_DYN_NMRT"=>"Neonatal mortality rate", "SH_DYN_NMRTN"=>"Neonatal deaths (number)", "SH_FPL_MTMM"=>"Proportion of women married or in a union of reproductive age (aged 15-49 years) who have their need for family planning satisfied with modern methods", "SH_H2O_SAFE"=>"Proportion of population using safely managed drinking water services", "SH_H2O_SAFE_CTAP"=>"Percentage of households supplied with running water from the tap – common faucet up to 200 m away", "SH_H2O_SAFE_OTH"=>"Percentage of households supplied with water from other sources", "SH_H2O_SAFE_RWDW"=>"Percentage of households with running water in the dwelling unit", "SH_H2O_SAFE_SPSRS"=>"Percentage of households supplied with water from separate source well, faucet)", "SH_HAP_ASMORT"=>"Age-standardized mortality rate attributed to household air pollution", "SH_HAP_HBSAG"=>"Prevalence of hepatitis B surface antigen (HBsAg)", "SH_HAP_HBSAGINC"=>"Hepatitis B incidence (per 100,000 population)", "SH_HAP_MORT"=>"Crude death rate attributed to household air pollution", "SH_HIV_INCD"=>"Number of new HIV infections per 1,000 uninfected population", "SH_HIV_INCDA"=>"HIV incidence per 100,000 population", "SH_HIV_INCDAS"=>"Number of registered cases of HIV infection during the year", "SH_HLF_EMED"=>"Proportion of health facilities that have a core set of relevant essential medicines available and affordable on a sustainable basis (%)", "SH_IHR_CAPS"=>"International Health Regulations (IHR) capacity, by type of IHR capacity", "SH_MED_DEN"=>"Health worker density, by type of occupation (per 10,000 population)", "SH_MED_HWRKDIS"=>"Health worker distribution, by sex and type of occupation", "SH_PRV_SMOK"=>"Age-standardized prevalence of current tobacco use among persons aged 15 years and older", "SH_PRV_SMOKA"=>"Percentage of daily smokers among the population", "SH_PRV_SMOKC"=>"Percentage of smokers among children aged 13–15 years", "SH_SAN_DEFECT"=>"Proportion of population practicing open defecation", "SH_SAN_HNDWSH"=>"Proportion of population with basic handwashing facilities on premises", "SH_SAN_SAFE"=>"Proportion of population using safely managed sanitation services", "SH_SAN_SAFEHH_BATH"=>"Proportion of households owning a bathroom with a WC in the main dwelling unit", "SH_SAN_SAFEHH_WC"=>"Proportion of households owning a WC in the main dwelling unit", "SH_STA_AIRP"=>"Crude death rate attributed to household and ambient air pollution", "SH_STA_ANEM"=>"Proportion of women aged 15-49 years with anaemia (%)", "SH_STA_ANEM_NPRG"=>"Proportion of women aged 15-49 years with anaemia, non-pregnant (%)", "SH_STA_ANEM_PREG"=>"Proportion of women aged 15-49 years with anaemia, pregnant (%)", "SH_STA_ASAIRP"=>"Age-standardized mortality rate attributed to household and ambient air pollution", "SH_STA_BRTC"=>"Proportion of births attended by skilled health personnel", "SH_STA_MALR"=>"Malaria incidence (per 1,000 population)", "SH_STA_MORT"=>"Maternal mortality ratio", "SH_STA_POISN"=>"Mortality rate attributed to unintentional poisonings", "SH_STA_SCIDE"=>"Suicide mortality rate", "SH_STA_SCIDEN"=>"Number of deaths attributed to suicide", "SH_STA_STNT"=>"Proportion of children moderately or severely stunted", "SH_STA_STNTN"=>"Children moderately or severely stunted (number)", "SH_STA_TRAF"=>"Death rate due to road traffic injuries, by sex (per 100,000 population)", "SH_STA_WASH"=>"Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene", "SH_STA_WAST"=>"Proportion of children moderately or severely wasted", "SH_STA_WASTN"=>"Children moderately or severely wasted (number)", "SH_SUD_ALCOL"=>"Alcohol use disorders, 12-month prevalence (%)", "SH_SUD_TREAT"=>"Coverage of treatment interventions (pharmacological, psychosocial and rehabilitation and aftercare services) for substance use disorders (%)", "SH_SUD_TREATN"=>"Number of persons who received treatment for drug abuse", "SH_TBS_INCID"=>"Tuberculosis incidence (per 100,000 population)", "SH_TRP_INTVN"=>"Number of people requiring interventions against neglected tropical diseases", "SH_XPD_EARN10"=>"Proportion of population with large household expenditures on health (greater than 10%) as a share of total household expenditure or income", "SH_XPD_EARN25"=>"Proportion of population with large household expenditures on health (greater than 25%) as a share of total household expenditure or income", "SI_AGR_LSFP"=>"Average income of large-scale food producers, PPP (constant 2011 international $)", "SI_COV_BENFTS"=>"Proportion of population covered by at least one social protection benefit, by sex (%)", "SI_COV_DISAB"=>"Proportion of population with severe disabilities receiving disability cash benefit, by sex (%)", "SI_COV_LMKT"=>"Proportion of population covered by labour market programs", "SI_COV_MATNL"=>"Proportion of mothers with newborns receiving maternity cash benefit (%)", "SI_COV_PENSN"=>"Proportion of population above statutory pensionable age receiving a pension", "SI_COV_SOCAST"=>"Proportion of population covered by social assistance programs", "SI_COV_SOCDC"=>"Number of social protection beneficiaries in daily care", "SI_COV_SOCDL"=>"Number of social protection beneficiaries receiving cash benefits for providing care and support to another person", "SI_COV_SOCHHLP"=>"Number of social protection beneficiaries receiving in-home care", "SI_COV_SOCHRP"=>"Number of social protection beneficiaries placed in a foster family", "SI_COV_SOCINS"=>"Proportion of population covered by social insurance programs", "SI_COV_SOCNP"=>"Number of social protection beneficiaries receiving financial aid", "SI_COV_SOCOTFA"=>"Number of social protection beneficiaries receiving one-time financial aid", "SI_COV_SOCPDPENS"=>"Number of social protection beneficiaries receiving personal disability payment", "SI_COV_SOCSRAZ"=>"Number of social protection beneficiaries receiving support in the equalization of opportunities for disabled children and youth", "SI_COV_SOCSUST"=>"Number of social protection beneficiaries placed in a social protection institution or in another institution", "SI_COV_SOCUSALL"=>"Proportion of the population covered by social protection systems", "SI_COV_SOCUSSA"=>"Number of social protection beneficiaries by sex and age", "SI_COV_UEMP"=>"Proportion of unemployed persons receiving unemployment cash benefit", "SI_COV_WKINJRY"=>"Proportion of employed population covered in the event of work injury, by sex (%)", "SI_POV_50MEHH"=>"Share of households living under 50% of the median expenditure", "SI_POV_50MI"=>"Proportion of people living below 50 percent of median income", "SI_POV_50MЕHH"=>"Proportion of households living below 50 per cent of median consumption expenditure", "SI_POV_DAY1"=>"Proportion of population below international poverty line", "SI_POV_EMP1"=>"Employed population below international poverty line", "SI_POV_HHD"=>"Proportion of households living below the national poverty line", "SI_POV_HHDA"=>"Poverty headcount by age of household head", "SI_POV_HHDL"=>"Poverty rate of households according to different poverty lines", "SI_POV_HHDS"=>"Poverty headcount by sex of household head", "SI_POV_NAHC"=>"Proportion of population living below the national poverty line", "SI_RMT_COST"=>"Average remittance costs of sending $200 to a receiving country as a proportion of the amount remitted (%)", "SL_CPA_YEMP"=>"Existence of a developed and operationalized national strategy for youth employment, as a distinct strategy or as part of a national employment strategy", "SL_EMP_EARN"=>"Average hourly earnings of employees by sex and occupation (local currency)", "SL_EMP_GTOTL"=>"Labour share of GDP", "SL_EMP_PCAP"=>"Annual growth rate of real GDP per employed person", "SL_ISV_IFEM"=>"Proportion of informal employment, by sector and sex (ILO harmonized estimates)", "SL_LBR_NTLCPL"=>"Level of national compliance with labour rights (freedom of association and collective bargaining) based on International Labour Organization (ILO) textual sources and national legislation", "SL_TLF_MANF"=>"Manufacturing employment as a proportion of total employment", "SL_TLF_NEET"=>"Proportion of youth not in education, employment or training", "SL_TLF_UEM"=>"Unemployment rate", "SM_DTH_MIGR"=>"Total deaths and disappearances recorded during migration", "SM_POP_REFG_OR"=>"Proportion of the population who are refugees, by country of origin", "SN_ITK_DEFC"=>"Prevalence of undernourishment", "SN_ITK_DEFCN"=>"Number of undernourish people", "SN_STA_OVWGT"=>"Proportion of children moderately or severely overweight", "SN_STA_OVWGTN"=>"Children moderately or severely overweight (number)", "SP_ACS_BSRHEAT"=>"Population unable to keep home adequately warm", "SP_ACS_BSROTHER"=>"Households’ access to basic services", "SP_ACS_BSRVH2O"=>"Proportion of population using basic drinking water services", "SP_ACS_BSRVSAN"=>"Proportion of population using basic sanitation services", "SP_ACS_BSRWC"=>"Population living in households with no bathroom, shower, or flushing toilet", "SP_DYN_ADKL"=>"Adolescent birth rate (per 1,000 women in the age group)", "SP_DYN_MRBF15"=>"Proportion of women aged 20-24 years who were married or in a union before age 15", "SP_DYN_MRBF18"=>"Proportion of women aged 20-24 years who were married or in a union before age 18", "SP_LGL_LNDDOC_COHFR"=>"Co-owners of real estate – land and buildings, ½ ownership ratio", "SP_LGL_LNDDOC_COUHFR"=>"Co-owners of real estate – land and buildings, ownership ratio under ½", "SP_LGL_LNDDOC_SOLO"=>"Sole owners of real estate – land and buildings", "SP_TRN_PUBL"=>"Proportion of population that has convenient access to public transport (%)", "ST_EEV_ACCSEEA"=>"Implementation of standard accounting tools to monitor the economic and environmental aspects of tourism (SEEA tables)", "ST_EEV_ACCTSA"=>"Implementation of standard accounting tools to monitor the economic and environmental aspects of tourism (Tourism Satellite Account tables)", "ST_EEV_STDACCT"=>"Implementation of standard accounting tools to monitor the economic and environmental aspects of tourism (Total number of tables)", "ST_GDP_ZS"=>"GDP of the section Accommodation and food service activities as a proportion of total GDP, current prices,", "ST_TUR_EMP"=>"Number of employed persons in tourism", "TM_TAX_WMFN"=>"Worldwide weighted tariff-average, most-favoured-nation status", "TM_TAX_WMPS"=>"Worldwide weighted tariff-average, preferential status", "TM_TRF_ZERO"=>"Proportion of tariff lines applied to imports with zero-tariff", "TX_EXP_ECG"=>"Exports from Republika Srpska by economic groupings of countries", "TX_IMP_ECG"=>"Imports to Republika Srpska by economic groupings of countries", "VC_DSR_AFFCT"=>"Number of people affected by disaster (number)", "VC_DSR_DAFF"=>"Number of directly affected persons attributed to disasters per 100,000 population (number)", "VC_DSR_IJILN"=>"Number of injured or ill people attributed to disasters (number)", "VC_DSR_MISS"=>"Number of missing persons due to disaster (number)", "VC_DSR_MMHN"=>"Number of deaths and missing persons attributed to disasters (number)", "VC_DSR_MORT"=>"Broj umrlih usljed katastrofe (broj)", "VC_DSR_MTMP"=>"Number of deaths and missing persons attributed to disasters per 100,000 population (number)", "VC_DSR_OBDN"=>"Number of disruptions to other basic services attributed to disasters", "VC_DSR_PDAN"=>"Number of people whose damaged dwellings were attributed to disasters (number)", "VC_DSR_PDLN"=>"Number of people whose livelihoods were disrupted or destroyed, attributed to disasters (number)", "VC_DSR_PDYN"=>"Number of people whose destroyed dwellings were attributed to disasters (number)", "VC_HTF_DETCA"=>"Number of trafficking offences", "VC_HTF_DETV"=>"Number of victims of human trafficking by sex and form of exploitation", "VC_HTF_DETVFL"=>"Detected victims of human trafficking for forced labour, servitude and slavery (number)", "VC_HTF_DETVOG"=>"Detected victims of human trafficking for removal of organ (number)", "VC_HTF_DETVOP"=>"Detected victims of human trafficking for other purposes (number)", "VC_HTF_DETVR"=>"Number of victims of human trafficking per 100,000 population", "VC_HTF_DETVSX"=>"Detected victims of human trafficking for sexual exploitaton (number)", "VC_IHR_PSRC"=>"Number of victims of intentional homicide per 100,000 population", "VC_IHR_PSRCN"=>"Number of victims of intentional homicide", "VC_PRS_UNSNT"=>"Unsentenced detainees as a proportion of overall prison population", "VC_VAW_MARR"=>"Proportion of ever-partnered women and girls subjected to physical and/or sexual violence by a current or former intimate partner in the previous 12 months, by age (%)", "VC_VAW_MARR12M"=>"Proportion of women aged 18–74 years subjected to some form of violence by a current or former intimate partner, in the previous 12 months (%)", "VC_VAW_MARRY15"=>"Proportion of women aged 18–74 years subjected to some form of violence by a current or former intimate partner, from the age of 15 (%)", "VC_VAW_NMARR12M"=>"Proportion of women aged 18–74 years subjected to physical and sexual violence by persons other than an intimate partner, in the previous 12 months (%)", "VC_VAW_NMARRY15"=>"Proportion of women aged 18–74 years subjected to physical and sexual violence by persons other than an intimate partner, from the age of 15 (%)", "VC_VAW_PHYPYV"=>"Proportion of children aged 1-14 years who experienced physical punishment and/or psychological aggression by caregivers in last month"}
2009 453000 in BAM Value of suspicious transactions for money laundering and terrorist financing - banks of Republika Srpska
2010 728000 in BAM Value of suspicious transactions for money laundering and terrorist financing - banks of Republika Srpska
2011 404000 in BAM Value of suspicious transactions for money laundering and terrorist financing - banks of Republika Srpska
2012 2900000 in BAM Value of suspicious transactions for money laundering and terrorist financing - banks of Republika Srpska
2013 1107058 in BAM Value of suspicious transactions for money laundering and terrorist financing - banks of Republika Srpska
2014 2738514 in BAM Value of suspicious transactions for money laundering and terrorist financing - banks of Republika Srpska
2015 2563708 in BAM Value of suspicious transactions for money laundering and terrorist financing - banks of Republika Srpska
2016 78163647 in BAM Value of suspicious transactions for money laundering and terrorist financing - banks of Republika Srpska
2017 5724857 in BAM Value of suspicious transactions for money laundering and terrorist financing - banks of Republika Srpska
2018 175957160 in BAM Value of suspicious transactions for money laundering and terrorist financing - banks of Republika Srpska
2019 9420753 in BAM Value of suspicious transactions for money laundering and terrorist financing - banks of Republika Srpska
2020 8389057 in BAM Value of suspicious transactions for money laundering and terrorist financing - banks of Republika Srpska
2021 11783151 in BAM Value of suspicious transactions for money laundering and terrorist financing - banks of Republika Srpska
2022 1700949 in BAM Value of suspicious transactions for money laundering and terrorist financing - banks of Republika Srpska
2023 9190837 in BAM Value of suspicious transactions for money laundering and terrorist financing - banks of Republika Srpska
2009 332090 USD Value of suspicious transactions for money laundering and terrorist financing - banks of Republika Srpska
2010 494309 USD Value of suspicious transactions for money laundering and terrorist financing - banks of Republika Srpska
2011 267271 USD Value of suspicious transactions for money laundering and terrorist financing - banks of Republika Srpska
2012 1954705 USD Value of suspicious transactions for money laundering and terrorist financing - banks of Republika Srpska
2013 780159 USD Value of suspicious transactions for money laundering and terrorist financing - banks of Republika Srpska
2014 1702619 USD Value of suspicious transactions for money laundering and terrorist financing - banks of Republika Srpska
2015 1432183 USD Value of suspicious transactions for money laundering and terrorist financing - banks of Republika Srpska
2016 42126518 USD Value of suspicious transactions for money laundering and terrorist financing - banks of Republika Srpska
2017 3510438 USD Value of suspicious transactions for money laundering and terrorist financing - banks of Republika Srpska
2018 103046443 USD Value of suspicious transactions for money laundering and terrorist financing - banks of Republika Srpska
2019 5389465 USD Value of suspicious transactions for money laundering and terrorist financing - banks of Republika Srpska
2020 5267636 USD Value of suspicious transactions for money laundering and terrorist financing - banks of Republika Srpska
2021 6828315 USD Value of suspicious transactions for money laundering and terrorist financing - banks of Republika Srpska
2022 9276001 USD Value of suspicious transactions for money laundering and terrorist financing - banks of Republika Srpska
2023 5192616 USD Value of suspicious transactions for money laundering and terrorist financing - banks of Republika Srpska

Source: Banking Agency of Republika Srpska

Unit of Measurement: $, KM

This table provides metadata for the actual indicator available from Република Српска statistics closest to the corresponding global SDG indicator. Please note that even when the global SDG indicator is fully available from РС statistics, this table should be consulted for information on national methodology and other РС-specific metadata information.

Indicator available
Indicator description
Geographical coverage
Unit of measurement

$, KM
Definitions
Calculations
Other information
Quality assurance
Comparability with international data/standards
Comments and limitations
Rationale and interpretation
Data last updated 2025-05-05: see changes on GitHub opens in a new window
Metadata last updated 2025-05-05: see changes on GitHub opens in a new window

This table provides information on metadata for SDG indicators as defined by the UN Statistical Commission. Complete global metadata is provided by the UN Statistics Division.

Indicator name

Total value of inward and outward illicit financial flows (in current United States dollars)
Indicator number

16.4.1
Target name

By 2030, significantly reduce illicit financial and arms flows, strengthen the recovery and return of stolen assets and combat all forms of organized crime
Target number

16.4
Global indicator description
UN designated tier

16
UN custodian agency

UNODC,UNCTAD
Link to UN metadata United Nations Sustainable Development Goals Metadata (pdf 1361kB) opens in a new window
Organisation

Banking Agency of Republika Srpska
Periodicity
Earliest available data
Geographical coverage

Republika Srpska
Link to data source www.rzs.rs.ba/rs_sdg opens in a new window
Release date
Next release
Statistical classification
Contact details
Other information