Items included in the dashboard along with unit, timescale analyzed, and data source.
| Variable name . | Unit . | Timescale . | Source . |
|---|---|---|---|
| Drivers | |||
| Social | |||
| Population | – | 1990–2017 | World Bank Databank (2019) and projections United Nations (2017) |
| Urban population | % of population | World Bank Databank (2019) and projections United Nations (2017) | |
| Net migration | 1990–2017 | World Bank Databank (2019) | |
| Human Development Index | 0–1 (0 worse) | 1990–2017 | United Nations (2019b) |
| Gini coefficient | 0–100 (100 worse) | 1990–2017 | World Bank Databank (2019) |
| Gender gap in wages | 0–1.5 (1 is equality) | 2000–2016 | United Nations (2019a) |
| Employment in agriculture | – | 1990–2017 | World Bank Databank (2019) |
| Economic | |||
| Gross domestic product (GDP) | 2010 USD | 1990–2017 | World Bank Databank (2019) and projections from IMF (2019) |
| GDP per capita | 2010 USD/person | 1990–2017 | World Bank Databank (2019) |
| Agriculture value added | % of GDP | 1990–2017 | World Bank Databank (2019) |
| Industry value added | % of GDP | 1990–2017 | World Bank Databank (2019) |
| Services value added | % of GDP | 1990–2017 | World Bank Databank (2019) |
| Political | |||
| Fragile states index (FSI) | 0–120 (120 worse) | 2006–2018 | The Fund for Peace (2019) |
| Technological | |||
| Technology Development | Number of water-related patents | 2000–2016 | OECD (2020) |
| Environmental | |||
| Average yearly temperature | °C | 1990–2017 | Harris et al. (2014) and projections World Bank CCKP (2019) |
| Interannual temperature variability (CV) | – | 1990–2017 | Calculated: Harris et al. (2014) |
| Total yearly precipitation | mm | 1990–2017 | Harris et al. (2014) and projections World Bank CCKP (2019) |
| Interannual precipitation variability (CV) | – | 1990–2017 | Calculated: Harris et al. (2014) |
| The Water Resource System | |||
| Conventional Water Endowment | |||
| Total renewable freshwater | 109 m3 | 1990–2017 | FAO Aquastat (2019) |
| Renewable groundwater | 109 m3 | 1990–2017 | FAO Aquastat (2019) |
| Renewable surface water | 109 m3 | 1990–2017 | FAO Aquastat (2019) |
| Transboundary dependency ratio | % | 1990–2017 | FAO Aquastat (2019) |
| Water availability per capita | m3/inhab | 1990–2017 | Calculated: FAO Aquastat (2019) and World Bank Databank (2019) |
| Unconventional Water Endowment | |||
| Desalinated water produced | 109 m3 | 1990–2017 | FAO Aquastat (2019) |
| Direct use of treated wastewater | 109 m3 | 1990–2017 | FAO Aquastat (2019) |
| Net virtual water imports | 109 m3 | 1996–2005 | Mekonnen & Hoekstra (2011) |
| Usage | |||
| Agriculture | 109 m3 | 1990–2017 | FAO Aquastat (2019) and Liu et al. (2016) |
| Industry | 109 m3 | 1990–2017 | FAO Aquastat (2019) and Liu et al. (2016) |
| Municipal | 109 m3 | 1990–2017 | FAO Aquastat (2019) and Liu et al. (2016) |
| Environmental | 109 m3 | 1990–2017 | FAO Aquastat (2019) |
| Renewable groundwater | 109 m3 | 1990–2017 | FAO Aquastat (2019) |
| Renewable surface water | 109 m3 | 1990–2017 | FAO Aquastat (2019) |
| Infrastructure | |||
| Cultivated land equipped for irrigation | % | 1990–2017 | FAO Aquastat (2019) |
| Treated wastewater | % | 2018 | Wendling et al. (2018) |
| Total storage capacity | 103 m3 | 1990–2017 | FAO Aquastat (2019) |
| Institutions | |||
| Government institutions | – | At present | FAO (2019) |
| International freshwater treaties | – | As of 2007 | Oregon State University (2007) |
| System Performance | |||
| Number of recorded droughts | – | 1990–2017 | EM-DAT (2019) |
| Number of recorded floods | – | 1990–2017 | EM-DAT (2019) |
| Water stress | % | 1990–2017 | SDG 6.4.2 calculated from FAO Aquastat (2019) and Liu et al. (2016) |
| Water productivity | 2010 USD/m3 | 1990–2017 | SDG 6.4.1 calculated from FAO Aquastat (2019) and Liu et al. (2016) |
| Water quality index – pollution | 0–1 (1 worse) | 2014 | Sadoff et al. (2015) |
| Continuity of Service | 0–24 h | 1995–2019 | IB-NET (2020) |
| Degree of IWRM implementation | 0–100 (0 worse) | 2018 | SDG 6.5.1 from UN Environment (2018) |
| Outcomes | |||
| Social | |||
| Access to improved water | % | 2000–2017 | WHO/UNICEF JMP (2019) (by service level) |
| Access to improved sanitation | % | 2000–2017 | WHO/UNICEF JMP (2019) (by service level) |
| Deaths from flood | – | 1990–2018 | EM-DAT (2019) |
| Economic | |||
| Agriculture value added | 2017 USD | 1990–2017 | World Bank Databank (2019) |
| Total cost of flood damage | 2017 USD | 1990–2017 | EM-DAT (2019) |
| Total cost of drought damage | 2017 USD | 1990–2017 | EM-DAT (2019) |
| Environmental | |||
| Biodiversity index | 0–1 (1 worse) | 2014 | Sadoff et al. (2015) |
| Environ flow violations index | 0–1 (1 worse) | 2014 | Sadoff et al. (2015) |
| Maps for Dashboard Tool | |||
| Country and admin level shapefiles | – | Current | Natural Earth (2019) |
| World's major rivers | – | Current | Natural Earth (2019) |
| HydroSHEDS basin rivers | – | 2013 | Lehner & Grill (2013) |
| World cities | – | 2019 | ArcGIS Hub (2019) |
| Variable name . | Unit . | Timescale . | Source . |
|---|---|---|---|
| Drivers | |||
| Social | |||
| Population | – | 1990–2017 | World Bank Databank (2019) and projections United Nations (2017) |
| Urban population | % of population | World Bank Databank (2019) and projections United Nations (2017) | |
| Net migration | 1990–2017 | World Bank Databank (2019) | |
| Human Development Index | 0–1 (0 worse) | 1990–2017 | United Nations (2019b) |
| Gini coefficient | 0–100 (100 worse) | 1990–2017 | World Bank Databank (2019) |
| Gender gap in wages | 0–1.5 (1 is equality) | 2000–2016 | United Nations (2019a) |
| Employment in agriculture | – | 1990–2017 | World Bank Databank (2019) |
| Economic | |||
| Gross domestic product (GDP) | 2010 USD | 1990–2017 | World Bank Databank (2019) and projections from IMF (2019) |
| GDP per capita | 2010 USD/person | 1990–2017 | World Bank Databank (2019) |
| Agriculture value added | % of GDP | 1990–2017 | World Bank Databank (2019) |
| Industry value added | % of GDP | 1990–2017 | World Bank Databank (2019) |
| Services value added | % of GDP | 1990–2017 | World Bank Databank (2019) |
| Political | |||
| Fragile states index (FSI) | 0–120 (120 worse) | 2006–2018 | The Fund for Peace (2019) |
| Technological | |||
| Technology Development | Number of water-related patents | 2000–2016 | OECD (2020) |
| Environmental | |||
| Average yearly temperature | °C | 1990–2017 | Harris et al. (2014) and projections World Bank CCKP (2019) |
| Interannual temperature variability (CV) | – | 1990–2017 | Calculated: Harris et al. (2014) |
| Total yearly precipitation | mm | 1990–2017 | Harris et al. (2014) and projections World Bank CCKP (2019) |
| Interannual precipitation variability (CV) | – | 1990–2017 | Calculated: Harris et al. (2014) |
| The Water Resource System | |||
| Conventional Water Endowment | |||
| Total renewable freshwater | 109 m3 | 1990–2017 | FAO Aquastat (2019) |
| Renewable groundwater | 109 m3 | 1990–2017 | FAO Aquastat (2019) |
| Renewable surface water | 109 m3 | 1990–2017 | FAO Aquastat (2019) |
| Transboundary dependency ratio | % | 1990–2017 | FAO Aquastat (2019) |
| Water availability per capita | m3/inhab | 1990–2017 | Calculated: FAO Aquastat (2019) and World Bank Databank (2019) |
| Unconventional Water Endowment | |||
| Desalinated water produced | 109 m3 | 1990–2017 | FAO Aquastat (2019) |
| Direct use of treated wastewater | 109 m3 | 1990–2017 | FAO Aquastat (2019) |
| Net virtual water imports | 109 m3 | 1996–2005 | Mekonnen & Hoekstra (2011) |
| Usage | |||
| Agriculture | 109 m3 | 1990–2017 | FAO Aquastat (2019) and Liu et al. (2016) |
| Industry | 109 m3 | 1990–2017 | FAO Aquastat (2019) and Liu et al. (2016) |
| Municipal | 109 m3 | 1990–2017 | FAO Aquastat (2019) and Liu et al. (2016) |
| Environmental | 109 m3 | 1990–2017 | FAO Aquastat (2019) |
| Renewable groundwater | 109 m3 | 1990–2017 | FAO Aquastat (2019) |
| Renewable surface water | 109 m3 | 1990–2017 | FAO Aquastat (2019) |
| Infrastructure | |||
| Cultivated land equipped for irrigation | % | 1990–2017 | FAO Aquastat (2019) |
| Treated wastewater | % | 2018 | Wendling et al. (2018) |
| Total storage capacity | 103 m3 | 1990–2017 | FAO Aquastat (2019) |
| Institutions | |||
| Government institutions | – | At present | FAO (2019) |
| International freshwater treaties | – | As of 2007 | Oregon State University (2007) |
| System Performance | |||
| Number of recorded droughts | – | 1990–2017 | EM-DAT (2019) |
| Number of recorded floods | – | 1990–2017 | EM-DAT (2019) |
| Water stress | % | 1990–2017 | SDG 6.4.2 calculated from FAO Aquastat (2019) and Liu et al. (2016) |
| Water productivity | 2010 USD/m3 | 1990–2017 | SDG 6.4.1 calculated from FAO Aquastat (2019) and Liu et al. (2016) |
| Water quality index – pollution | 0–1 (1 worse) | 2014 | Sadoff et al. (2015) |
| Continuity of Service | 0–24 h | 1995–2019 | IB-NET (2020) |
| Degree of IWRM implementation | 0–100 (0 worse) | 2018 | SDG 6.5.1 from UN Environment (2018) |
| Outcomes | |||
| Social | |||
| Access to improved water | % | 2000–2017 | WHO/UNICEF JMP (2019) (by service level) |
| Access to improved sanitation | % | 2000–2017 | WHO/UNICEF JMP (2019) (by service level) |
| Deaths from flood | – | 1990–2018 | EM-DAT (2019) |
| Economic | |||
| Agriculture value added | 2017 USD | 1990–2017 | World Bank Databank (2019) |
| Total cost of flood damage | 2017 USD | 1990–2017 | EM-DAT (2019) |
| Total cost of drought damage | 2017 USD | 1990–2017 | EM-DAT (2019) |
| Environmental | |||
| Biodiversity index | 0–1 (1 worse) | 2014 | Sadoff et al. (2015) |
| Environ flow violations index | 0–1 (1 worse) | 2014 | Sadoff et al. (2015) |
| Maps for Dashboard Tool | |||
| Country and admin level shapefiles | – | Current | Natural Earth (2019) |
| World's major rivers | – | Current | Natural Earth (2019) |
| HydroSHEDS basin rivers | – | 2013 | Lehner & Grill (2013) |
| World cities | – | 2019 | ArcGIS Hub (2019) |