[ID_HABI_02] projected change of flood hazard

Name: projected change of flood hazard
Creator: DBnomics

Updated on DBnomics on July 1, 2023 (5:37 AM).

[frequency] Frequency

[A] Annual

[country] Country

[AFG] Afghanistan
[AGO] Angola
[ALB] Albania
[AND] Andorra
[ARE] United Arab Emirates
[ARG] Argentina
[ARM] Armenia
[ATG] Antigua and Barbuda
[AUS] Australia
[AUT] Austria
[AZE] Azerbaijan
[BDI] Burundi
[BEL] Belgium
[BEN] Benin
[BFA] Burkina Faso
[BGD] Bangladesh
[BGR] Bulgaria
[BHR] Bahrain
[BHS] Bahamas
[BIH] Bosnia and Herzegovina
[BLR] Belarus
[BLZ] Belize
[BOL] Bolivia, Plurinational State of
[BRA] Brazil
[BRB] Barbados
[BRN] Brunei Darussalam
[BTN] Bhutan
[BWA] Botswana
[CAF] Central African Republic
[CAN] Canada
[CHE] Switzerland
[CHL] Chile
[CHN] China
[CIV] Cote d'Ivoire
[CMR] Cameroon
[COD] Congo, the Democratic Republic o
[COG] Congo
[COL] Colombia
[COM] Comoros
[CPV] Cape Verde
[CRI] Costa Rica
[CUB] Cuba
[CYP] Cyprus
[CZE] Czech Republic
[DEU] Germany
[DJI] Djibouti
[DMA] Dominica
[DNK] Denmark
[DOM] Dominican Republic
[DZA] Algeria
[ECU] Ecuador
[EGY] Egypt
[ERI] Eritrea
[ESP] Spain
[EST] Estonia
[ETH] Ethiopia
[FIN] Finland
[FJI] Fiji
[FRA] France
[FSM] Micronesia, Federated States of
[GAB] Gabon
[GBR] United Kingdom
[GEO] Georgia
[GHA] Ghana
[GIN] Guinea
[GMB] Gambia
[GNB] Guinea-Bissau
[GNQ] Equatorial Guinea
[GRC] Greece
[GRD] Grenada
[GTM] Guatemala
[GUY] Guyana
[HND] Honduras
[HRV] Croatia
[HTI] Haiti
[HUN] Hungary
[IDN] Indonesia
[IND] India
[IRL] Ireland
[IRN] Iran, Islamic Republic of
[IRQ] Iraq
[ISL] Iceland
[ISR] Israel
[ITA] Italy
[JAM] Jamaica
[JOR] Jordan
[JPN] Japan
[KAZ] Kazakhstan
[KEN] Kenya
[KGZ] Kyrgyzstan
[KHM] Cambodia
[KIR] Kiribati
[KNA] Saint Kitts and Nevis
[KOR] Korea, Republic of
[KWT] Kuwait
[LAO] Lao People's Democratic Republic
[LBN] Lebanon
[LBR] Liberia
[LBY] Libyan Arab Jamahiriya
[LCA] Saint Lucia
[LIE] Liechtenstein
[LKA] Sri Lanka
[LSO] Lesotho
[LTU] Lithuania
[LUX] Luxembourg
[LVA] Latvia
[MAR] Morocco
[MCO] Monaco
[MDA] Moldova, Republic of
[MDG] Madagascar
[MDV] Maldives
[MEX] Mexico
[MHL] Marshall Islands
[MKD] Macedonia
[MLI] Mali
[MLT] Malta
[MMR] Myanmar
[MNE] Montenegro
[MNG] Mongolia
[MOZ] Mozambique
[MRT] Mauritania
[MUS] Mauritius
[MWI] Malawi
[MYS] Malaysia
[NAM] Namibia
[NER] Niger
[NGA] Nigeria
[NIC] Nicaragua
[NLD] Netherlands
[NOR] Norway
[NPL] Nepal
[NRU] Nauru
[NZL] New Zealand
[OMN] Oman
[PAK] Pakistan
[PAN] Panama
[PER] Peru
[PHL] Philippines
[PLW] Palau
[PNG] Papua New Guinea
[POL] Poland
[PRK] Korea, Democratic People's Repub
[PRT] Portugal
[PRY] Paraguay
[QAT] Qatar
[ROU] Romania
[RUS] Russian Federation
[RWA] Rwanda
[SAU] Saudi Arabia
[SDN] Sudan
[SEN] Senegal
[SGP] Singapore
[SLB] Solomon Islands
[SLE] Sierra Leone
[SLV] El Salvador
[SMR] San Marino
[SOM] Somalia
[SRB] Serbia
[STP] Sao Tome and Principe
[SUR] Suriname
[SVK] Slovakia
[SVN] Slovenia
[SWE] Sweden
[SWZ] Swaziland
[SYC] Seychelles
[SYR] Syrian Arab Republic
[TCD] Chad
[TGO] Togo
[THA] Thailand
[TJK] Tajikistan
[TKM] Turkmenistan
[TLS] Timor-Leste
[TON] Tonga
[TTO] Trinidad and Tobago
[TUN] Tunisia
[TUR] Turkey
[TUV] Tuvalu
[TZA] Tanzania, United Republic of
[UGA] Uganda
[UKR] Ukraine
[URY] Uruguay
[USA] United States
[UZB] Uzbekistan
[VCT] Saint Vincent and the Grenadines
[VEN] Venezuela, Bolivarian Republic o
[VNM] Viet Nam
[VUT] Vanuatu
[WSM] Samoa
[YEM] Yemen
[ZAF] South Africa
[ZMB] Zambia
[ZWE] Zimbabwe

[measure] Measure

[input] Input
[raw] Raw
[raw_0] Raw 0
[score] Score

Search filters

Frequency [frequency] (1)

Country [country] (192)

Measure [measure] (4)

This dataset has 768 series:

Trim NA Values

Series code	1995	1996	1997	1998	1999	2000	2001	2002	2003	2004	2005	2006	2007	2008	2009	2010	2011	2012	2013	2014	2015	2016	2017	2018	2019	2020	2021
[A.ALB.raw_0]	0.04800901	0.04800901	0.04800901	0.04800901	0.04800901	0.04800901	0.04800901	0.04800901	0.04800901	0.04800901	0.04800901	0.04800901	0.04800901	0.04800901	0.04800901	0.04800901	0.04800901	0.04800901	0.04800901	0.04800901	0.04800901	NA	NA	NA	NA	NA	NA
[A.ALB.score]	0.666234853662104	0.666234853662104	0.666234853662104	0.666234853662104	0.666234853662104	0.666234853662104	0.666234853662104	0.666234853662104	0.666234853662104	0.666234853662104	0.666234853662104	0.666234853662104	0.666234853662104	0.666234853662104	0.666234853662104	0.666234853662104	0.666234853662104	0.666234853662104	0.666234853662104	0.666234853662104	0.666234853662104	0.666234853662104	0.666234853662104	0.666234853662104	0.666234853662104	0.666234853662104	0.666234853662104
[A.AND.input]	-0.003473633	-0.003473633	-0.003473633	-0.003473633	-0.003473633	-0.003473633	-0.003473633	-0.003473633	-0.003473633	-0.003473633	-0.003473633	-0.003473633	-0.003473633	-0.003473633	-0.003473633	-0.003473633	-0.003473633	-0.003473633	-0.003473633	-0.003473633	-0.003473633	-0.003473633	-0.003473633	-0.003473633	-0.003473633	-0.003473633	-0.003473633
[A.AND.raw]	-0.003473633	-0.003473633	-0.003473633	-0.003473633	-0.003473633	-0.003473633	-0.003473633	-0.003473633	-0.003473633	-0.003473633	-0.003473633	-0.003473633	-0.003473633	-0.003473633	-0.003473633	-0.003473633	-0.003473633	-0.003473633	-0.003473633	-0.003473633	-0.003473633	NA	NA	NA	NA	NA	NA
[A.AND.raw_0]	-0.003473633	-0.003473633	-0.003473633	-0.003473633	-0.003473633	-0.003473633	-0.003473633	-0.003473633	-0.003473633	-0.003473633	-0.003473633	-0.003473633	-0.003473633	-0.003473633	-0.003473633	-0.003473633	-0.003473633	-0.003473633	-0.003473633	-0.003473633	-0.003473633	NA	NA	NA	NA	NA	NA
[A.AND.score]	0.514689294597114	0.514689294597114	0.514689294597114	0.514689294597114	0.514689294597114	0.514689294597114	0.514689294597114	0.514689294597114	0.514689294597114	0.514689294597114	0.514689294597114	0.514689294597114	0.514689294597114	0.514689294597114	0.514689294597114	0.514689294597114	0.514689294597114	0.514689294597114	0.514689294597114	0.514689294597114	0.514689294597114	0.514689294597114	0.514689294597114	0.514689294597114	0.514689294597114	0.514689294597114	0.514689294597114
[A.ARE.input]	0.003218055	0.003218055	0.003218055	0.003218055	0.003218055	0.003218055	0.003218055	0.003218055	0.003218055	0.003218055	0.003218055	0.003218055	0.003218055	0.003218055	0.003218055	0.003218055	0.003218055	0.003218055	0.003218055	0.003218055	0.003218055	0.003218055	0.003218055	0.003218055	0.003218055	0.003218055	0.003218055
[A.ARE.raw]	0.003218055	0.003218055	0.003218055	0.003218055	0.003218055	0.003218055	0.003218055	0.003218055	0.003218055	0.003218055	0.003218055	0.003218055	0.003218055	0.003218055	0.003218055	0.003218055	0.003218055	0.003218055	0.003218055	0.003218055	0.003218055	NA	NA	NA	NA	NA	NA
[A.ARE.raw_0]	0.003218055	0.003218055	0.003218055	0.003218055	0.003218055	0.003218055	0.003218055	0.003218055	0.003218055	0.003218055	0.003218055	0.003218055	0.003218055	0.003218055	0.003218055	0.003218055	0.003218055	0.003218055	0.003218055	0.003218055	0.003218055	NA	NA	NA	NA	NA	NA
[A.ARE.score]	0.534387110015185	0.534387110015185	0.534387110015185	0.534387110015185	0.534387110015185	0.534387110015185	0.534387110015185	0.534387110015185	0.534387110015185	0.534387110015185	0.534387110015185	0.534387110015185	0.534387110015185	0.534387110015185	0.534387110015185	0.534387110015185	0.534387110015185	0.534387110015185	0.534387110015185	0.534387110015185	0.534387110015185	0.534387110015185	0.534387110015185	0.534387110015185	0.534387110015185	0.534387110015185	0.534387110015185

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