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cloud_regions_metadata

33 rows where water-usage-effectiveness = "0.19"

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Suggested facets: cloud-provider, cfe-region, em-zone-id, wt-region-id, provider-cfe-annual, power-usage-effectiveness, provider-carbon-intensity-market-annual, grid-carbon-intensity-average-consumption-annual, grid-carbon-intensity-marginal-consumption-annual, grid-carbon-intensity-average-production-annual, grid-carbon-intensity

Link rowid ▼ year cloud-provider cloud-region cfe-region em-zone-id wt-region-id location geolocation provider-cfe-hourly provider-cfe-annual power-usage-effectiveness water-usage-effectiveness provider-carbon-intensity-market-annual provider-carbon-intensity-average-consumption-hourly grid-carbon-intensity-average-consumption-annual grid-carbon-intensity-marginal-consumption-annual grid-carbon-intensity-average-production-annual grid-carbon-intensity total-ICT-energy-consumption-annual total-water-input renewable-energy-consumption renewable-energy-consumption-goe renewable-energy-consumption-ppa renewable-energy-consumption-onsite
163 163 2022 Amazon Web Services af-south-1 South Africa ZA ZAF Africa (Cape Town) -33.9253,18.4239     1.36 0.19     705.0   705.05              
164 164 2022 Amazon Web Services ap-east-1 Hong Kong HK HKG Asia Pacific (Hong Kong) 22.3,114.2       0.19     435.36   435.36              
165 165 2022 Amazon Web Services ap-northeast-1 Tokyo JP-TK JP_TK Asia Pacific (Tokyo) 35.6897,139.692     1.3 0.19     546.82 535.9531592 554.76 536.0            
166 166 2022 Amazon Web Services ap-northeast-2 South Korea KR KOR Asia Pacific (Seoul) 37.56,126.99       0.19     455.53 686.0136038 455.52 686.0            
167 167 2022 Amazon Web Services ap-northeast-3 Kansai JP-KN JP_KN Asia Pacific (Osaka) 34.6939,135.502       0.19     420.67 550.5322311 410.06 551.0            
168 168 2022 Amazon Web Services ap-south-1 Maharashtra IN-WE IND Asia Pacific (Mumbai) 19.0761,72.8775   1.0 1.43 0.19 0.0   747.67 679.4097431 760.68 679.0            
169 169 2022 Amazon Web Services ap-south-2 Hyderabad IN-SO IND Asia Pacific (Hyderabad) 17.385,78.4867   1.0   0.19 0.0   504.69 679.4097431 501.99 679.0            
170 170 2022 Amazon Web Services ap-southeast-1 Singapore SG SGP Asia Pacific (Singapore) 1.3,103.8     1.33 0.19     491.09 409.1860208 490.42 409.0            
171 171 2022 Amazon Web Services ap-southeast-2 New South Wales AU-NSW NEM_NSW Asia Pacific (Sydney) -33.8678,151.21     1.15 0.19     586.3 770.3638355 585.48 770.0            
172 172 2022 Amazon Web Services ap-southeast-3 Indonesia ID IDN Asia Pacific (Jakarta) -6.175,106.8275     1.39 0.19     652.36   652.36              
173 173 2022 Amazon Web Services ap-southeast-4 Victoria AU-VIC NEM_VIC Asia Pacific (Melbourne) -37.8142,144.963       0.19     534.85 664.5903366 534.85 665.0            
174 174 2022 Amazon Web Services ca-central-1 Quebec CA-QC HQ Canada (Central) 45.5089,-73.5617   1.0 1.26 0.19 0.0   28.22 462.2451779 27.92 462.0            
175 175 2022 Amazon Web Services cn-north-1     CHN China (Beijing) 39.904,116.4075   1.0   0.19 0.0                      
176 176 2022 Amazon Web Services cn-northwest-1     CHN China (Ningxia) 38.4795,106.2254   1.0 1.28 0.19 0.0                      
177 177 2022 Amazon Web Services eu-central-1 Germany DE DE Europe (Frankfurt) 50.1106,8.6822   1.0 1.32 0.19 0.0   474.46 741.7175367 488.94 742.0            
178 178 2022 Amazon Web Services eu-central-2 Switzerland CH CH Europe (Zurich) 47.3744,8.5411   1.0   0.19 0.0   148.39 778.7844238 49.5 779.0            
179 179 2022 Amazon Web Services eu-north-1 Sweden SE SE Europe (Stockholm) 59.3294,18.0686   1.0 1.12 0.19 0.0   25.82 781.7946219 22.63 782.0            
180 180 2022 Amazon Web Services eu-south-1 North Italy IT-NO IT Europe (Milan) 45.4669,9.19   1.0   0.19 0.0   369.48 385.8847276 445.96 386.0            
181 181 2022 Amazon Web Services eu-south-2 Spain ES ES Europe (Spain) 40.3333,-3.8667   1.0   0.19 0.0   220.63 370.288102 220.31 370.0            
182 182 2022 Amazon Web Services eu-west-1 Ireland IE IE Europe (Ireland) 53.35,-6.2603   1.0 1.1 0.19 0.0   404.89 507.95177 404.88 508.0            
183 183 2022 Amazon Web Services eu-west-2 Great Britain GB UK Europe (London) 51.726,-0.3   1.0   0.19 0.0   220.45 427.7283704 223.87 428.0            
184 184 2022 Amazon Web Services eu-west-3 France FR FR Europe (Paris) 48.8567,2.3522   1.0   0.19 0.0   91.23 383.7390836 72.0 384.0            
185 185 2022 Amazon Web Services il-central-1 Israel IL ISR Israel (Tel Aviv) 32.0167,34.7667       0.19     541.78   541.78              
186 186 2022 Amazon Web Services me-central-1 United Arab Emirates AE ARE Middle East (UAE) 25.2631,55.2972       0.19     325.52   325.52              
187 187 2022 Amazon Web Services me-south-1 Bahrain BH BHR Middle East (Bahrain) 26.219,50.538     1.38 0.19     700.0   700.0              
188 188 2022 Amazon Web Services sa-east-1 Central Brazil BR-CS BRA South America (São Paulo) -3.45,-68.95       0.19     99.93 571.4267992 103.92 571.0            
189 189 2022 Amazon Web Services us-east-1 PJM US-MIDA-PJM PJM_DC US East (N. Virginia) 39.1057,-77.5544   1.0 1.16 0.19 0.0   429.84 565.3840343 430.11 565.0            
190 190 2022 Amazon Web Services us-east-2 PJM US-MIDA-PJM PJM_SOUTHWEST_OH US East (Ohio) 39.8689,-84.3292   1.0 1.12 0.19 0.0   429.84 565.1671385 430.11 565.0            
191 191 2022 Amazon Web Services us-gov-east-1 PJM US-MIDA-PJM PJM_DC GovCloud (US East) 39.1057,-77.5544   1.0   0.19 0.0   429.84 565.3840343 430.11 565.0            
192 192 2022 Amazon Web Services us-gov-west-1 BPA US-NW-BPAT BPA GovCloud (US West) 45.5371,-122.65   1.0   0.19 0.0   86.61 427.1886293 58.5 427.0            
193 193 2022 Amazon Web Services us-west-1 CAISO US-CAL-CISO CAISO_NORTH US West (N. California) 36.7783,-119.417931   1.0 1.17 0.19 0.0   264.4 392.7840553 247.55 393.0            
194 194 2022 Amazon Web Services us-west-2 BPA US-NW-BPAT BPA US West (Oregon) 45.5371,-122.65   1.0 1.13 0.19 0.0   86.61 427.1886293 58.5 427.0            
236 236 2022 Microsoft Azure centralus MISO US-MIDW-MISO MISO Iowa: Central US 41.573,-93.608   1.0 1.16 0.19 0.0   526.14   546.23              

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CREATE TABLE "cloud_regions_metadata" (
   [year] INTEGER,
   [cloud-provider] TEXT,
   [cloud-region] TEXT,
   [cfe-region] TEXT,
   [em-zone-id] TEXT,
   [wt-region-id] TEXT,
   [location] TEXT,
   [geolocation] TEXT,
   [provider-cfe-hourly] FLOAT,
   [provider-cfe-annual] FLOAT,
   [power-usage-effectiveness] FLOAT,
   [water-usage-effectiveness] FLOAT,
   [provider-carbon-intensity-market-annual] FLOAT,
   [provider-carbon-intensity-average-consumption-hourly] FLOAT,
   [grid-carbon-intensity-average-consumption-annual] FLOAT,
   [grid-carbon-intensity-marginal-consumption-annual] FLOAT,
   [grid-carbon-intensity-average-production-annual] FLOAT,
   [grid-carbon-intensity] FLOAT,
   [total-ICT-energy-consumption-annual] INTEGER,
   [total-water-input] INTEGER,
   [renewable-energy-consumption] INTEGER,
   [renewable-energy-consumption-goe] INTEGER,
   [renewable-energy-consumption-ppa] INTEGER,
   [renewable-energy-consumption-onsite] INTEGER
);
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